From 08ffffffe79891cf110b882e461a7b8c7e985708 Mon Sep 17 00:00:00 2001 From: github-actions Date: Thu, 22 Aug 2024 12:46:50 +0000 Subject: [PATCH] update --- data/data_analyst_20240822.csv | 12788 +++++++++++ data/data_scientist_20240822.csv | 33928 +++++++++++++++++++++++++++++ 2 files changed, 46716 insertions(+) create mode 100644 data/data_analyst_20240822.csv create mode 100644 data/data_scientist_20240822.csv diff --git a/data/data_analyst_20240822.csv b/data/data_analyst_20240822.csv new file mode 100644 index 0000000..0a28ce1 --- /dev/null +++ b/data/data_analyst_20240822.csv @@ -0,0 +1,12788 @@ +Job_ID,Link,Title,Company,Place,Description,HTML,Date,Skills +3955333186,https://it.linkedin.com/jobs/view/junior-data-analyst-at-iliad-3955333186?position=1&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=qqCTs0EYaCLWj2HsbJg0hQ%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Analyst,iliad,"Milan, Lombardy, Italy","Posizione + +In qualità di Junior Data Analyst farai parte del team di Business Intelligence, e sarai responsabile di garantire la disponibilità e la qualità dei dati, al fine di supportare le strategie di business e condurre analisi delle performance aziendali. + +Nello specifico ti occuperai delle seguenti attività: + +Implementare e gestire il reporting sui principali KPI per le diverse Business Unit aziendali. +Supportare le Business Unit nell’adoption dei sistemi di Business Intelligence. +Tradurre le domande ed esigenze di business con l’obiettivo di produrre risultati affidabili e solidi per supportare il processo decisionale. +Analizzare le performance aziendali con l'obiettivo di generare insight volti all'ottimizzazione dei KPI e dei processi. + + + + +Requisiti + +Must have: + +Laurea in Matematica, Informatica, Statistica, Economia, Ingegneria gestionale o affini. +Esperienza di 2-3 anni in ruoli di Data Analysis. +Buona conoscenza di sistemi di Business Intelligence (la conoscenza di Tableau e Tableau Prep sarà considerato requisito preferenziale). +Ottima conoscenza di Excel. +Capacità di presentazione dei metodi e risultati dell'analisi. +Orientamento al business e al raggiungimento degli obiettivi. +Precisione e rispetto delle scadenze. +Buona conoscenza della lingua inglese. + +Nice to have: + +Esperienza con linguaggi di programmazione/scripting (Python, VBA). +Buona conoscenza del pacchetto Office, in particolare Access / Power Point. +Precedente esperienza con ruoli analoghi nel settore Telco e/o nell’analisi del ciclo di vita del cliente. +Conoscenza della lingua francese. + + + + +Altre informazioni + +Che cosa aspettarti da noi: + +Curiosità, ascolto, coraggio e spirito di iniziativa. Noi riassumiamo tutto questo in una parola: iliadness. +Lavoro flessibile, per davvero. Coordinandoti con il tuo manager, potrai sfruttare fino a 8 giorni al mese di lavoro da remoto. +Bello lavorare da remoto, ma ti innamorerai anche degli uffici iliad. Sono il nostro punto di riferimento per incontrarci e trovare sempre l’ispirazione giusta (oltre che tutto il caffè di cui hai bisogno). E nelle pause, calcetto e ping-pong come se piovesse. +Fare la Rivoluzione è un lavoro di squadra e per farlo bene, non ci stanchiamo mai di pensare a occasioni di incontro anche fuori dall’ufficio. +Percorsi di formazione pensati su misura per te +Bonus mobilità per ridurre ogni giorno l’impatto dei tuoi spostamenti casa-lavoro +Ticket giornalieri per pranzare fuori e fare la spesa, anche quando lavori da remoto +Contributo biennale per l’acquisto del tuo smartphone a tua scelta +Assicurazione sanitaria (per te e per il tuo nucleo familiare) e un network di convenzioni sempre più ricco +Show more ","
+ + + + + +
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+

Posizione

In qualità di Junior Data Analyst farai parte del team di Business Intelligence, e sarai responsabile di garantire la disponibilità e la qualità dei dati, al fine di supportare le strategie di business e condurre analisi delle performance aziendali.

Nello specifico ti occuperai delle seguenti attività:

  • Implementare e gestire il reporting sui principali KPI per le diverse Business Unit aziendali.
  • Supportare le Business Unit nell’adoption dei sistemi di Business Intelligence.
  • Tradurre le domande ed esigenze di business con l’obiettivo di produrre risultati affidabili e solidi per supportare il processo decisionale.
  • Analizzare le performance aziendali con l'obiettivo di generare insight volti all'ottimizzazione dei KPI e dei processi.


Requisiti

Must have:

  • Laurea in Matematica, Informatica, Statistica, Economia, Ingegneria gestionale o affini.
  • Esperienza di 2-3 anni in ruoli di Data Analysis.
  • Buona conoscenza di sistemi di Business Intelligence (la conoscenza di Tableau e Tableau Prep sarà considerato requisito preferenziale).
  • Ottima conoscenza di Excel.
  • Capacità di presentazione dei metodi e risultati dell'analisi.
  • Orientamento al business e al raggiungimento degli obiettivi.
  • Precisione e rispetto delle scadenze.
  • Buona conoscenza della lingua inglese.

Nice to have:

  • Esperienza con linguaggi di programmazione/scripting (Python, VBA).
  • Buona conoscenza del pacchetto Office, in particolare Access / Power Point.
  • Precedente esperienza con ruoli analoghi nel settore Telco e/o nell’analisi del ciclo di vita del cliente.
  • Conoscenza della lingua francese.


Altre informazioni

Che cosa aspettarti da noi:

  • Curiosità, ascolto, coraggio e spirito di iniziativa. Noi riassumiamo tutto questo in una parola: iliadness.
  • Lavoro flessibile, per davvero. Coordinandoti con il tuo manager, potrai sfruttare fino a 8 giorni al mese di lavoro da remoto.
  • Bello lavorare da remoto, ma ti innamorerai anche degli uffici iliad. Sono il nostro punto di riferimento per incontrarci e trovare sempre l’ispirazione giusta (oltre che tutto il caffè di cui hai bisogno). E nelle pause, calcetto e ping-pong come se piovesse.
  • Fare la Rivoluzione è un lavoro di squadra e per farlo bene, non ci stanchiamo mai di pensare a occasioni di incontro anche fuori dall’ufficio.
  • Percorsi di formazione pensati su misura per te
  • Bonus mobilità per ridurre ogni giorno l’impatto dei tuoi spostamenti casa-lavoro
  • Ticket giornalieri per pranzare fuori e fare la spesa, anche quando lavori da remoto
  • Contributo biennale per l’acquisto del tuo smartphone a tua scelta
  • Assicurazione sanitaria (per te e per il tuo nucleo familiare) e un network di convenzioni sempre più ricco
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-13,[] +3972629205,https://it.linkedin.com/jobs/view/data-analyst-at-bdo-italia-3972629205?position=2&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=Z1N%2BcEWAMvtGhblTSOCHnw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,BDO Italia,"Milan, Lombardy, Italy","WHAT WILL YOU DO? + + + + +Nel nostro team AI & Data Analytics sarai il fulcro di un sistema mirato a guidare le principali realtà enterprise italiane e non verso la Trasformazione Digitale tramite l’Intelligenza Artificiale e la Data Analytics. + +Sarai in una posizione privilegiata per poter cogliere esigenze nascenti e offrire risposte professionali, occupandoti di: + + + + +Implementazione processi ETL, sviluppo e gestione architettura BI per supportare processi aziendali data-driven e generare insight utili per prendere decisioni informate +Raccogliere, integrare e analizzare dati provenienti da varie fonti per identificare pattern, tendenze e insight per ottimizzare i processi aziendali +Definizione di KPI per monitorare la bontà di algoritmi/processi +Creazione di modelli di reportistica e analisi in Power BI (Dashboard interattive) e redigerne la relativa documentazione (manuali utente) +Scrittura di semplici script di automazione in Python o metodi alternativi per ottimizzare le operazioni di elaborazione dei dati +Implementazione di controlli qualità e integrità del dato +Collaborazione con altre funzioni aziendali e stakeholder interni ed esterni per identificare le esigenze e garantire che le analisi siano allineate agli obiettivi + + + + +YOU ARE THE RIGHT TALENT IF YOU BRING US: + + + + +Laurea in Economia, Ingegneria, Informatica, Matematica, Statistica o altre discipline affini; +Ottima conoscenza del Pacchetto MSOffice e tecnologie di Business Intelligence, in particolare Power Query e Power BI (DAX); +Buona conoscenza di SQL server/Python; +Conoscenza strumenti ETL (Azure Data Factory); +Capacità di disegnare e progettare soluzioni di data modeling (E-R); +Conoscenza delle tecniche di Data Visualization; +Mentalità analitica che ti consente di approcciarti ai dati e alle situazioni in modo critico, identificando soluzioni e prendendo decisioni rapide e consapevoli; +Eccellente comprensione del business e capacità di tradurre i requisiti aziendali in soluzioni tecniche; +Esperienza lavorativa in società di consulenza direzionale o informatica sarà considerata un forte plus. + + + + +YOU FEEL WELCOMED EVERY DAY BECAUSE: + +ti sentirai da subito parte della squadra, supportato nel proporre le tue idee e visioni; +respirerai un dinamismo che dà energia, un concetto di collaborazione che fa crescere la professionalità di ognuno e la qualità del team; +scoprirai una forma di ambizione che sposta sempre in avanti il punto di arrivo e rende appassionante il percorso per raggiungerlo; +apprezzerai il supporto di un People coach, che ti aiuterà a sviluppare il tuo potenziale e le tue competenze; +troverai percorsi di carriera disegnati sulle tue ambizioni e capacità; +sperimenterai i benefici della flessibilità e dello smart working. + + + + +WE ARE QUALITY SEEKERS, CLIENT SUPPORTERS, TEAM BELIEVERS & PASSION PROMOTERS + + + + +Ci impegniamo per offrire al paese un modello di crescita sostenibile. Siamo appassionati di consulenza e di revisione ed è proprio la passione che ci ha resi una delle più importanti società mondiali in questo campo. Ci guida una motivazione forte, che si diffonde in ognuna delle nostre sedi in 164 Paesi e che troverai nei nostri 14 uffici in Italia. Amiamo il talento e le idee nuove e cresciamo grazie all’attenzione che riserviamo alla competenza delle persone e alla qualità delle relazioni: quelle all'interno della nostra società e quelle con i clienti e i fornitori. + + + + +MAKE YOUR CAREER DEEPLY SIGNIFICANT, JOIN US AND SHARE OUR PURPOSE. + +Show more ","
+ + + + + +
+
+

WHAT WILL YOU DO?


Nel nostro team AI & Data Analytics sarai il fulcro di un sistema mirato a guidare le principali realtà enterprise italiane e non verso la Trasformazione Digitale tramite l’Intelligenza Artificiale e la Data Analytics.

Sarai in una posizione privilegiata per poter cogliere esigenze nascenti e offrire risposte professionali, occupandoti di:


  • Implementazione processi ETL, sviluppo e gestione architettura BI per supportare processi aziendali data-driven e generare insight utili per prendere decisioni informate
  • Raccogliere, integrare e analizzare dati provenienti da varie fonti per identificare pattern, tendenze e insight per ottimizzare i processi aziendali
  • Definizione di KPI per monitorare la bontà di algoritmi/processi
  • Creazione di modelli di reportistica e analisi in Power BI (Dashboard interattive) e redigerne la relativa documentazione (manuali utente)
  • Scrittura di semplici script di automazione in Python o metodi alternativi per ottimizzare le operazioni di elaborazione dei dati
  • Implementazione di controlli qualità e integrità del dato
  • Collaborazione con altre funzioni aziendali e stakeholder interni ed esterni per identificare le esigenze e garantire che le analisi siano allineate agli obiettivi


YOU ARE THE RIGHT TALENT IF YOU BRING US:


  • Laurea in Economia, Ingegneria, Informatica, Matematica, Statistica o altre discipline affini;
  • Ottima conoscenza del Pacchetto MSOffice e tecnologie di Business Intelligence, in particolare Power Query e Power BI (DAX);
  • Buona conoscenza di SQL server/Python;
  • Conoscenza strumenti ETL (Azure Data Factory);
  • Capacità di disegnare e progettare soluzioni di data modeling (E-R);
  • Conoscenza delle tecniche di Data Visualization;
  • Mentalità analitica che ti consente di approcciarti ai dati e alle situazioni in modo critico, identificando soluzioni e prendendo decisioni rapide e consapevoli;
  • Eccellente comprensione del business e capacità di tradurre i requisiti aziendali in soluzioni tecniche;
  • Esperienza lavorativa in società di consulenza direzionale o informatica sarà considerata un forte plus.


YOU FEEL WELCOMED EVERY DAY BECAUSE:

  • ti sentirai da subito parte della squadra, supportato nel proporre le tue idee e visioni;
  • respirerai un dinamismo che dà energia, un concetto di collaborazione che fa crescere la professionalità di ognuno e la qualità del team;
  • scoprirai una forma di ambizione che sposta sempre in avanti il punto di arrivo e rende appassionante il percorso per raggiungerlo;
  • apprezzerai il supporto di un People coach, che ti aiuterà a sviluppare il tuo potenziale e le tue competenze;
  • troverai percorsi di carriera disegnati sulle tue ambizioni e capacità;
  • sperimenterai i benefici della flessibilità e dello smart working.


WE ARE QUALITY SEEKERS, CLIENT SUPPORTERS, TEAM BELIEVERS & PASSION PROMOTERS


Ci impegniamo per offrire al paese un modello di crescita sostenibile. Siamo appassionati di consulenza e di revisione ed è proprio la passione che ci ha resi una delle più importanti società mondiali in questo campo. Ci guida una motivazione forte, che si diffonde in ognuna delle nostre sedi in 164 Paesi e che troverai nei nostri 14 uffici in Italia. Amiamo il talento e le idee nuove e cresciamo grazie all’attenzione che riserviamo alla competenza delle persone e alla qualità delle relazioni: quelle all'interno della nostra società e quelle con i clienti e i fornitori.


MAKE YOUR CAREER DEEPLY SIGNIFICANT, JOIN US AND SHARE OUR PURPOSE.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-08,[] +3996394395,https://it.linkedin.com/jobs/view/data-analysis-stage-at-ewiva-3996394395?position=3&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=HmP8eYkaCw8ecoR3qLxQPg%3D%3D&trk=public_jobs_jserp-result_search-card,Data analysis stage,Ewiva,Greater Milan Metropolitan Area,"Ewiva ha l’obiettivo di costruire una rete di oltre 3.000 punti di ricarica ultra-veloci, ad alta potenza (fino a 350 kW) distribuiti in tutta Italia consentendo quindi di ricaricare su tutto il territorio nazionale, in qualsiasi momento, e ripartire in pochi minuti. + + + + +Il futuro sostenibile è oggi. Il raggiungimento degli obiettivi di neutralità climatica previsti dal Green Deal europeo, vale a dire azzerare le emissioni a effetto serra entro il 2050, si fonda sulle scelte che facciamo oggi e noi di Ewiva vogliamo essere protagonisti di questo traguardo decisivo per la salute del nostro pianeta. + + + + +Ewiva è una Joint Venture tra Enel X e il Gruppo Volkswagen, nata per accelerare la transizione del Paese verso la mobilità elettrica sviluppando una infrastruttura di ricarica ultra-veloce alla portata di tutti e su tutto il territorio nazionale. + + + + +Ewiva sta cercando uno stage nel Team Quality assurance per i suoi uffici di Milano. + +Inserita in un contesto giovane e dinamico la figura ricercata si occuperà di: + +Sviluppo e realizzazione di report periodici per il Management +Supporto nell'impostazione e nell'aggiornamento delle dashboard KPI in Microsoft PowerBI +Monitoraggio e analisi dei dati di performance della rete di ricarica +Supporto nello sviluppo della rete di ricarica attraverso l'analisi di diversi set di dati per definire le aree target per nuove stazioni di ricarica +Supporto nel processo di valutazione e approvazione delle nuove stazioni di ricarica +Supporto nella creazione di presentazioni per il Management + + + + +Cosa vorremmo trovare in te? + +Problem solving, pensiero critico e analitico +Capacità di raccogliere e analizzare dati, feedback qualitativi e quantitativi per valutare il successo delle iniziative e dei progetti +Doti organizzative e di relazione con soggetti interni ed esterni all'azienda +Orientamento al cliente +Capacità di sviluppare presentazioni + + + + +Quali conosce ed esperienze vorremmo che avessi maturato in passato? + +Ottima conoscenza di MS Office (in particolare Excel), richiesta prima esperienza in MS PowerBI +Prima esperienza con Salesforce +Competenze di programmazione (ad es. Python, Excel, SQL) +Inglese e italiano fluenti +Laurea o titolo superiore in ingegneria, informatica o economia + + + + +Cosa aspetti a candidarti? Non vediamo l'ora di conoscerti! + + + + +Prima di inviare la tua candidatura, ti preghiamo di prendere visione dell’informativa privacy disponibile al seguente link: https://ewiva.com/privacy-policy-area-lavora-con-noi/. + + + + +Cosa ti offriamo? + +Lo stage avrà una durata di 6 mesi. + +Sarà previsto un rimborso mensile, rimborso dei pasti e la possibilità di lavorare in smart working. + +Show more ","
+ + + + + +
+
+

Ewiva ha l’obiettivo di costruire una rete di oltre 3.000 punti di ricarica ultra-veloci, ad alta potenza (fino a 350 kW) distribuiti in tutta Italia consentendo quindi di ricaricare su tutto il territorio nazionale, in qualsiasi momento, e ripartire in pochi minuti.


Il futuro sostenibile è oggi. Il raggiungimento degli obiettivi di neutralità climatica previsti dal Green Deal europeo, vale a dire azzerare le emissioni a effetto serra entro il 2050, si fonda sulle scelte che facciamo oggi e noi di Ewiva vogliamo essere protagonisti di questo traguardo decisivo per la salute del nostro pianeta.


Ewiva è una Joint Venture tra Enel X e il Gruppo Volkswagen, nata per accelerare la transizione del Paese verso la mobilità elettrica sviluppando una infrastruttura di ricarica ultra-veloce alla portata di tutti e su tutto il territorio nazionale.


Ewiva sta cercando uno stage nel Team Quality assurance per i suoi uffici di Milano.

Inserita in un contesto giovane e dinamico la figura ricercata si occuperà di:

  • Sviluppo e realizzazione di report periodici per il Management
  • Supporto nell'impostazione e nell'aggiornamento delle dashboard KPI in Microsoft PowerBI
  • Monitoraggio e analisi dei dati di performance della rete di ricarica
  • Supporto nello sviluppo della rete di ricarica attraverso l'analisi di diversi set di dati per definire le aree target per nuove stazioni di ricarica
  • Supporto nel processo di valutazione e approvazione delle nuove stazioni di ricarica
  • Supporto nella creazione di presentazioni per il Management


Cosa vorremmo trovare in te?

  • Problem solving, pensiero critico e analitico
  • Capacità di raccogliere e analizzare dati, feedback qualitativi e quantitativi per valutare il successo delle iniziative e dei progetti
  • Doti organizzative e di relazione con soggetti interni ed esterni all'azienda
  • Orientamento al cliente
  • Capacità di sviluppare presentazioni


Quali conosce ed esperienze vorremmo che avessi maturato in passato?

  • Ottima conoscenza di MS Office (in particolare Excel), richiesta prima esperienza in MS PowerBI
  • Prima esperienza con Salesforce
  • Competenze di programmazione (ad es. Python, Excel, SQL)
  • Inglese e italiano fluenti
  • Laurea o titolo superiore in ingegneria, informatica o economia


Cosa aspetti a candidarti? Non vediamo l'ora di conoscerti!


Prima di inviare la tua candidatura, ti preghiamo di prendere visione dell’informativa privacy disponibile al seguente link: https://ewiva.com/privacy-policy-area-lavora-con-noi/.


Cosa ti offriamo?

Lo stage avrà una durata di 6 mesi.

Sarà previsto un rimborso mensile, rimborso dei pasti e la possibilità di lavorare in smart working.

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+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-09,[] +3967479479,https://it.linkedin.com/jobs/view/business-data-analyst-crm-at-venchi-3967479479?position=5&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=rpvGjfHIURFL1hvE4aWtFA%3D%3D&trk=public_jobs_jserp-result_search-card,Business Data Analyst - CRM,Venchi,"Milan, Lombardy, Italy","We are looking for a highly motivated and experienced Business Data Analyst - CRM to join our team based in Milan! + + + + +Reporting to the Business Data Manager, you will drive the strategic objectives of the company by leveraging data analytics and fostering a data-driven culture within the CRM team. You will be pivotal in transforming data into actionable insights. By collaborating with cross-functional teams and utilizing advanced data analysis techniques, the role aims to optimize customer engagement and business outcomes. + + + + +Key Responsibilities: + +Participate in agile CRM meetings to define and prioritize the most impactful analyzes to achieve strategic objectives. +Develop comprehensive analysis to achieve the objectives set during the sprints, ensuring clarity in macro-objectives. +Interpret the results of the analysis and recommend the best next actions for the company. +Collaborate with data scientists and data engineers as needed to evolve analysis into more complex models or use artificial intelligence. +Promote a data-driven culture within the CRM team. +Support BI champions in using existing BI reports or creating new ones. +Using a data-driven approach identify and create new customer segments for new marketing campaigns +Become a champion in the adoption of the company Customer Data Platform - D365 customer insight data + + + + +Requirements: + +Master’s Degree in STEM disciplines (Statistics, Mathematics, Engineering) +In-depth knowledge of SQL and scripting languages (e.g., Python) for data analysis and manipulation +Proficient in big data analysis +Proficiency in using Power BI for creating interactive dashboards and reports +At least 2 years of experience in CRM data analytics in a retail company or consultancy company on projects for retail customers +Proven experience working in cross-functional/agile teams (including data scientists, data engineers, and business stakeholders). +Fluent Italian and English +Familiar with generative AI tools (e.g. ChatGPT) +… and of course a chocolate and gelato lover! + + + + +Join us at Venchi, and through the innovative use of technology and collaboration across functions, help us transform insights into actions that achieve our business objectives and exceed customer expectations. + + + + +We look forward to hearing from you! + +Show more ","
+ + + + + +
+
+

We are looking for a highly motivated and experienced Business Data Analyst - CRM to join our team based in Milan!


Reporting to the Business Data Manager, you will drive the strategic objectives of the company by leveraging data analytics and fostering a data-driven culture within the CRM team. You will be pivotal in transforming data into actionable insights. By collaborating with cross-functional teams and utilizing advanced data analysis techniques, the role aims to optimize customer engagement and business outcomes.


Key Responsibilities:

  • Participate in agile CRM meetings to define and prioritize the most impactful analyzes to achieve strategic objectives.
  • Develop comprehensive analysis to achieve the objectives set during the sprints, ensuring clarity in macro-objectives.
  • Interpret the results of the analysis and recommend the best next actions for the company.
  • Collaborate with data scientists and data engineers as needed to evolve analysis into more complex models or use artificial intelligence.
  • Promote a data-driven culture within the CRM team.
  • Support BI champions in using existing BI reports or creating new ones.
  • Using a data-driven approach identify and create new customer segments for new marketing campaigns
  • Become a champion in the adoption of the company Customer Data Platform - D365 customer insight data


Requirements:

  • Master’s Degree in STEM disciplines (Statistics, Mathematics, Engineering)
  • In-depth knowledge of SQL and scripting languages (e.g., Python) for data analysis and manipulation
  • Proficient in big data analysis
  • Proficiency in using Power BI for creating interactive dashboards and reports
  • At least 2 years of experience in CRM data analytics in a retail company or consultancy company on projects for retail customers
  • Proven experience working in cross-functional/agile teams (including data scientists, data engineers, and business stakeholders).
  • Fluent Italian and English
  • Familiar with generative AI tools (e.g. ChatGPT)
  • … and of course a chocolate and gelato lover!


Join us at Venchi, and through the innovative use of technology and collaboration across functions, help us transform insights into actions that achieve our business objectives and exceed customer expectations.


We look forward to hearing from you!

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+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3982688832,https://it.linkedin.com/jobs/view/junior-data-analyst-at-lynx-spa-3982688832?position=6&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=yjwzXyaStiwoR274KNm42Q%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Analyst,Lynx Spa,"Milan, Lombardy, Italy","Il Gruppo Lynx è specializzato nella progettazione e realizzazione di soluzioni software presente in Italia, Spagna e America Latina con oltre 1.100 risorse ed è da anni partner di primarie realtà internazionali in molti settori di mercato, fra i quali Finance, Energy e Insurance. + +I contesti che ci vedono protagonisti sul mercato sono caratterizzati da una forte componente innovativa, come ad esempio l’uso di metodologie quali DevOps, Agile e tecnologie Microservizi, front-end web innovativi, Big Data, Machine Learning, Intelligenza Artificiale e Cyber Security. + + + + +Siamo alla ricerca di profili junior entusiasti e motivati da inserire nella nostra Business Unit specializzata nello sviluppo di soluzioni di Data Warehouse, Business Intelligence e Big Data. + + + + +Percorso Formativo: Durante lo stage, i tirocinanti seguiranno un percorso formativo strutturato per fornire competenze tecniche e professionali nel settore IT. + + + + +Ecco una panoramica delle principali fasi: + + + + +Studio Teorico: + +Sistemi di basi dati e modelli relazionali +Linguaggi di programmazione: .NET 2012, C#, Python +Introduzione ai concetti di Data Warehouse e Business Intelligence +Fondamenti di Statistica inferenziale e Machine Learning +Approccio conoscitivo all'AI generativa + + + + +Autoapprendimento: + +Accesso a libri, corsi online e video training +Esercitazioni pratiche e quiz di autovalutazione + + + + +Contestualizzazione Funzionale: + +Apprendimento pratico tramite progetti reali +Utilizzo di tecnologie come Windows Server, SQL Server, MongoDB, Visual Code, Visual Studio e strumenti di BI come Power BI + + + + +Lavoro in Team: + +Interfacciamento con un team e un referente di progetto +Partecipazione a meeting di stato avanzamento lavori + + + + +Requisiti necessari: + +Laurea in Ingegneria Gestionale o Informatica (indirizzo Data Science/Machine Learning) +Conoscenza teorica di basi dati e modelli relazionali +Utilizzo avanzato del pacchetto MS Office (Excel, Word) +Flessibilità oraria e capacità di lavorare in team +Dedizione allo studio e forte volontà di apprendere + + + + +Cosa offriamo: + +Un ambiente di lavoro dinamico e stimolante +Opportunità di crescita professionale +Supporto costante da parte di un supervisore esperto +Possibilità di partecipare a progetti innovativi e di alto impatto + + + + +Sede di lavoro: Milano + + + + +Contratto: tirocinio retribuito di 6 mesi finalizzato all’assunzione. + + + + +Se sei appassionato di IT e desideri iniziare la tua carriera in una realtà dinamica e innovativa, inviaci il tuo CV all'indirizzo cvannunci_mi@lynxspa.com, dichiarando di concedere l'autorizzazione per il trattamento dei dati personali in base all’art. 13 del D.Lgs n.196/03 e all’art. 13 del GDPR (Regolamento UE 2016/679) e riportando nell'oggetto il riferimento all'annuncio. + +Show more ","
+ + + + + +
+
+

Il Gruppo Lynx è specializzato nella progettazione e realizzazione di soluzioni software presente in Italia, Spagna e America Latina con oltre 1.100 risorse ed è da anni partner di primarie realtà internazionali in molti settori di mercato, fra i quali Finance, Energy e Insurance.

I contesti che ci vedono protagonisti sul mercato sono caratterizzati da una forte componente innovativa, come ad esempio l’uso di metodologie quali DevOps, Agile e tecnologie Microservizi, front-end web innovativi, Big Data, Machine Learning, Intelligenza Artificiale e Cyber Security.


Siamo alla ricerca di profili junior entusiasti e motivati da inserire nella nostra Business Unit specializzata nello sviluppo di soluzioni di Data Warehouse, Business Intelligence e Big Data.


Percorso Formativo: Durante lo stage, i tirocinanti seguiranno un percorso formativo strutturato per fornire competenze tecniche e professionali nel settore IT.


Ecco una panoramica delle principali fasi:


Studio Teorico:

  • Sistemi di basi dati e modelli relazionali
  • Linguaggi di programmazione: .NET 2012, C#, Python
  • Introduzione ai concetti di Data Warehouse e Business Intelligence
  • Fondamenti di Statistica inferenziale e Machine Learning
  • Approccio conoscitivo all'AI generativa


Autoapprendimento:

  • Accesso a libri, corsi online e video training
  • Esercitazioni pratiche e quiz di autovalutazione


Contestualizzazione Funzionale:

  • Apprendimento pratico tramite progetti reali
  • Utilizzo di tecnologie come Windows Server, SQL Server, MongoDB, Visual Code, Visual Studio e strumenti di BI come Power BI


Lavoro in Team:

  • Interfacciamento con un team e un referente di progetto
  • Partecipazione a meeting di stato avanzamento lavori


Requisiti necessari:

  • Laurea in Ingegneria Gestionale o Informatica (indirizzo Data Science/Machine Learning)
  • Conoscenza teorica di basi dati e modelli relazionali
  • Utilizzo avanzato del pacchetto MS Office (Excel, Word)
  • Flessibilità oraria e capacità di lavorare in team
  • Dedizione allo studio e forte volontà di apprendere


Cosa offriamo:

  • Un ambiente di lavoro dinamico e stimolante
  • Opportunità di crescita professionale
  • Supporto costante da parte di un supervisore esperto
  • Possibilità di partecipare a progetti innovativi e di alto impatto


Sede di lavoro: Milano


Contratto: tirocinio retribuito di 6 mesi finalizzato all’assunzione.


Se sei appassionato di IT e desideri iniziare la tua carriera in una realtà dinamica e innovativa, inviaci il tuo CV all'indirizzo cvannunci_mi@lynxspa.com, dichiarando di concedere l'autorizzazione per il trattamento dei dati personali in base all’art. 13 del D.Lgs n.196/03 e all’art. 13 del GDPR (Regolamento UE 2016/679) e riportando nell'oggetto il riferimento all'annuncio.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-20,[] +3907482314,https://it.linkedin.com/jobs/view/marketing-data-analyst-at-fineco-bank-3907482314?position=7&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=bLfhuilK66UmOKb1Z9XEfQ%3D%3D&trk=public_jobs_jserp-result_search-card,Marketing Data Analyst,Fineco Bank,"Milan, Lombardy, Italy","Company Description + +Fineco Bank is a leading European bank with a 20 years history and a fully digital DNA with a branchless approach since the start. Fineco is one of the banks with the widest products range available. We have developed a truly one-stop-solution which includes trading, investment and payment services. We have developed a 100% proprietary platform for trading and investment which covers all customer needs from trading listed and OTC product to investment product such as mutual funds and ETF. In addition to this we also offer banking and payment solution for domestic and international demand. + +Position + +La risorsa sarà inserita all’interno del gruppo analitico nell’area Marketing e si occuperà di: + + +Monitorare i principali KPI e KQI mediante report periodici. +Misurare l’efficacia delle campagne di marketing in termini quantitativi e qualitativi mediante analisi mirate. +Supportare l’approccio data-driven per lo sviluppo di nuove campagne e l’individuazione di nuovi cluster profittevoli. +Contribuire al data preparation. +Collaborare alla qualità del dato. + + + +Requirements + +Laurea in discipline STEM. + +Pregressa esperienza analitica, preferibilmente in ambito finanziario. + +Ottima conoscenza di SQL ed R. + +Conoscenza di Python e di almeno una piattaforma di Data visualization (PowerBI, Looker, Tableau). + +Ottima conoscenza del pacchetto Office. + +Completano Il Profilo + + +Visione architetturale del dato. +Accuratezza, pensiero analitico e razionale, capacità di sintesi. +Time management e organizzazione. +Capacità di lavorare sia in modo autonomo che in team. +Attitudine alla condivisione del know-how. +Adattabilità, entusiasmo e curiosità. + + + +Other information + +Sede di lavoro: Milano (alternanza presenza in sede e smart working) + +Tipo di contratto: CCNL credito, tempo indeterminato + +Il Gruppo Fineco è orgoglioso di essere un Equal Opportunity Employer e si impegna a creare un ambiente di lavoro sicuro e inclusivo, fondato sul rispetto reciproco e la valorizzazione di qualsiasi diversità, offrendo pari opportunità di lavoro. Fineco “The Place To Be” +Show more ","
+ + + + + +
+
+ Company Description

Fineco Bank is a leading European bank with a 20 years history and a fully digital DNA with a branchless approach since the start. Fineco is one of the banks with the widest products range available. We have developed a truly one-stop-solution which includes trading, investment and payment services. We have developed a 100% proprietary platform for trading and investment which covers all customer needs from trading listed and OTC product to investment product such as mutual funds and ETF. In addition to this we also offer banking and payment solution for domestic and international demand.

Position

La risorsa sarà inserita all’interno del gruppo analitico nell’area Marketing e si occuperà di:

  • Monitorare i principali KPI e KQI mediante report periodici.
  • Misurare l’efficacia delle campagne di marketing in termini quantitativi e qualitativi mediante analisi mirate.
  • Supportare l’approccio data-driven per lo sviluppo di nuove campagne e l’individuazione di nuovi cluster profittevoli.
  • Contribuire al data preparation.
  • Collaborare alla qualità del dato.


Requirements

Laurea in discipline STEM.

Pregressa esperienza analitica, preferibilmente in ambito finanziario.

Ottima conoscenza di SQL ed R.

Conoscenza di Python e di almeno una piattaforma di Data visualization (PowerBI, Looker, Tableau).

Ottima conoscenza del pacchetto Office.

Completano Il Profilo

  • Visione architetturale del dato.
  • Accuratezza, pensiero analitico e razionale, capacità di sintesi.
  • Time management e organizzazione.
  • Capacità di lavorare sia in modo autonomo che in team.
  • Attitudine alla condivisione del know-how.
  • Adattabilità, entusiasmo e curiosità.


Other information

Sede di lavoro: Milano (alternanza presenza in sede e smart working)

Tipo di contratto: CCNL credito, tempo indeterminato

Il Gruppo Fineco è orgoglioso di essere un Equal Opportunity Employer e si impegna a creare un ambiente di lavoro sicuro e inclusivo, fondato sul rispetto reciproco e la valorizzazione di qualsiasi diversità, offrendo pari opportunità di lavoro. Fineco “The Place To Be” +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-16,[] +3935800918,https://it.linkedin.com/jobs/view/junior-data-analyst-assurance-at-deloitte-3935800918?position=8&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=eGQob7GSu3vuv%2BGXu8Qu9Q%3D%3D&trk=public_jobs_jserp-result_search-card,Junior - Data Analyst - Assurance,Deloitte,"Milan, Lombardy, Italy","Junior - Data Analyst - Assurance + +Sei pronto a #MakeAnImpactThatMatters nel nostro team Audit & Assurance? + +Entrando nel Team di Deloitte Assurance Advisory avrai l’occasione di crescere e sviluppare forti competenze trasversali, lavorando su progetti sfidanti e collaborando con moltissimi clienti. + +Con la supervisione dei colleghi e colleghe più esperte, sarai responsabile delle attività progettuali nelle quali sarai coinvolto, e della qualità del tuo lavoro e del tuo allineamento alle priorità, agli obiettivi e alle esigenze dei clienti. + +Grazie a questa esperienza, potrai acquisire un bagaglio culturale utile e ampio in questo ambito operando in una realtà leader nel settore. + +Come verrai inserito in azienda? + +I candidati e le candidate parteciperanno ad un percorso di selezione nel quale avranno la possibilità di mettersi alla prova attraverso giornate di assessment, con l’obiettivo di valorizzare competenze e potenzialità personali. + +Saranno prese in considerazione tutte le candidature indistintamente, nel rispetto dei nostri valori ed in linea con la nostra cultura inclusiva. + +#YourRole + +In quanto Analyst avrai la possibilità di imparare dai colleghi più Senior (attraverso il learning on the job) e sviluppare competenze tecniche e relazionali lavorando in un contesto stimolante, che comporta sfide impegnative con ottime prospettive professionali. + +In Particolare, Ti Occuperai Di + + +Analisi dati su basi dati relazionali e NoSQL +Utilizzo di strumenti quali SQL, Qlik, Excel, Python, Power Platform +Sviluppo e mantenimento di progetti di Data Analytics (DataBase, ETL, Reportistica) +Utilizzo dei tipici tool quali Visual Studio, Sql Server Management Studio. + + +Grazie all’ufficio Learning avrai modo di seguire corsi e attività di formazione che ti permetteranno di ampliare e approfondire le tue conoscenze. + +I colleghi del Talent invece, si occuperanno in maniera strutturata del tuo avanzamento di carriera con KPI e obiettivi definiti, che se raggiunti, ti garantiranno la revisione del grade e degli economics. + +#WinningRequirements + + +Laurea in Ingegneria, Informatica, Data Science +Spiccate capacità analitiche e attitudine al problem solving +Conoscenza dei concetti di organizzazione di un Data Warehouse +Propensione al lavoro in team +Buona conoscenza della lingua inglese +Ottime capacità relazionali e comunicative. +#NiceToHave +Costituisce titolo preferenziale la conoscenza uno fra: SQL Server, Power BI, Qlik, Power Apps + + +#LoveWorkingAtDeloitteIf + + +Vorresti intraprendere una carriera professionale nel mondo della consulenza, dove la parola d’ordine è: crescita +L’idea di trasformare un problema in opportunità ti stimola +Ti ritieni una persona empatica e quindi disponibile ad accogliere le diverse esigenze dei tuoi colleghi e degli stakeholder interni ed esterni +Ti piacerebbe imparare ad avere una visione progettuale d’insieme, tenendo sempre a mente l’operatività per raggiungere gli obiettivi con integrità e rispetto degli standard Deloitte +Ti piace lavorare in un ambiente sfidante in cui le priorità possono cambiare quotidianamente +Ami lavorare in team +#MakeanImpactThatMatters + + +Siamo impegnati a ridurre i nostri impatti e incoraggiamo le persone ad assumere comportamenti sostenibili. Per salvaguardare l’ambiente e limitare il climate change, abbiamo sviluppato la strategia WorldClimate, attraverso la quale ci siamo posti l’obiettivo di diventare una Net Zero. + +Join our #iAct movement! Fai il quiz per calcolare la tua carbon footprint e scopri come adottare dei comportamenti più responsabili. + +Se vuoi scoprire come sarà il processo di selezione, guarda questo video. + +Se vuoi prepararti ad incontrare i nostri Recruiter iscriviti alla nostra piattaforma gratuita di orientamento al lavoro. + +Si offre inserimento in stage di 6 mesi caratterizzato da un percorso di training ad alto valore formativo. + +Sedi di lavoro: Milano, Cagliari, Roma. +Show more ","
+ + + + + +
+
+ Junior - Data Analyst - Assurance

Sei pronto a #MakeAnImpactThatMatters nel nostro team Audit & Assurance?

Entrando nel Team di Deloitte Assurance Advisory avrai l’occasione di crescere e sviluppare forti competenze trasversali, lavorando su progetti sfidanti e collaborando con moltissimi clienti.

Con la supervisione dei colleghi e colleghe più esperte, sarai responsabile delle attività progettuali nelle quali sarai coinvolto, e della qualità del tuo lavoro e del tuo allineamento alle priorità, agli obiettivi e alle esigenze dei clienti.

Grazie a questa esperienza, potrai acquisire un bagaglio culturale utile e ampio in questo ambito operando in una realtà leader nel settore.

Come verrai inserito in azienda?

I candidati e le candidate parteciperanno ad un percorso di selezione nel quale avranno la possibilità di mettersi alla prova attraverso giornate di assessment, con l’obiettivo di valorizzare competenze e potenzialità personali.

Saranno prese in considerazione tutte le candidature indistintamente, nel rispetto dei nostri valori ed in linea con la nostra cultura inclusiva.

#YourRole

In quanto Analyst avrai la possibilità di imparare dai colleghi più Senior (attraverso il learning on the job) e sviluppare competenze tecniche e relazionali lavorando in un contesto stimolante, che comporta sfide impegnative con ottime prospettive professionali.

In Particolare, Ti Occuperai Di

  • Analisi dati su basi dati relazionali e NoSQL
  • Utilizzo di strumenti quali SQL, Qlik, Excel, Python, Power Platform
  • Sviluppo e mantenimento di progetti di Data Analytics (DataBase, ETL, Reportistica)
  • Utilizzo dei tipici tool quali Visual Studio, Sql Server Management Studio.

Grazie all’ufficio Learning avrai modo di seguire corsi e attività di formazione che ti permetteranno di ampliare e approfondire le tue conoscenze.

I colleghi del Talent invece, si occuperanno in maniera strutturata del tuo avanzamento di carriera con KPI e obiettivi definiti, che se raggiunti, ti garantiranno la revisione del grade e degli economics.

#WinningRequirements

  • Laurea in Ingegneria, Informatica, Data Science
  • Spiccate capacità analitiche e attitudine al problem solving
  • Conoscenza dei concetti di organizzazione di un Data Warehouse
  • Propensione al lavoro in team
  • Buona conoscenza della lingua inglese
  • Ottime capacità relazionali e comunicative.
  • #NiceToHave
  • Costituisce titolo preferenziale la conoscenza uno fra: SQL Server, Power BI, Qlik, Power Apps

#LoveWorkingAtDeloitteIf

  • Vorresti intraprendere una carriera professionale nel mondo della consulenza, dove la parola d’ordine è: crescita
  • L’idea di trasformare un problema in opportunità ti stimola
  • Ti ritieni una persona empatica e quindi disponibile ad accogliere le diverse esigenze dei tuoi colleghi e degli stakeholder interni ed esterni
  • Ti piacerebbe imparare ad avere una visione progettuale d’insieme, tenendo sempre a mente l’operatività per raggiungere gli obiettivi con integrità e rispetto degli standard Deloitte
  • Ti piace lavorare in un ambiente sfidante in cui le priorità possono cambiare quotidianamente
  • Ami lavorare in team
  • #MakeanImpactThatMatters

Siamo impegnati a ridurre i nostri impatti e incoraggiamo le persone ad assumere comportamenti sostenibili. Per salvaguardare l’ambiente e limitare il climate change, abbiamo sviluppato la strategia WorldClimate, attraverso la quale ci siamo posti l’obiettivo di diventare una Net Zero.

Join our #iAct movement! Fai il quiz per calcolare la tua carbon footprint e scopri come adottare dei comportamenti più responsabili.

Se vuoi scoprire come sarà il processo di selezione, guarda questo video.

Se vuoi prepararti ad incontrare i nostri Recruiter iscriviti alla nostra piattaforma gratuita di orientamento al lavoro.

Si offre inserimento in stage di 6 mesi caratterizzato da un percorso di training ad alto valore formativo.

Sedi di lavoro: Milano, Cagliari, Roma. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[] +3996230989,https://it.linkedin.com/jobs/view/junior-data-analyst-at-air-connected-mobility-3996230989?position=10&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=HxCqAat5jtyrWku%2FMjp5wg%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Analyst,Air - Connected Mobility,"Vigevano, Lombardy, Italy","Siamo un broker assicurativo con sede a Vigevano in provincia di Pavia. + +Confrontiamo per il cliente finale i diversi preventivi offerti dalle compagnie assicurative e proponiamo il più vantaggioso, sulla base delle esigenze richieste. Inoltre, mettiamo la nostra piattaforma a disposizione dei dealer che collaborano con noi, in modo da permettere loro di offrire ai clienti oltre ad un servizio di vendita auto, anche una polizza. La nostra missione è quella di portare digitalizzazione e innovazione a tutti gli stakeholder del processo assicurativo dai singoli automobilisti ai partner assicurativi fino ai dealer e ai fleet manager. + +Siamo alla ricerca di un/una ""IOT Analyst"" che voglia lavorare nel settore delle Connected Cars. Il/la candidato/a ideale ha una profonda conoscenza della matematica e dei linguaggi di programmazione di base per l'analisi dei dati. Questo ruolo richiede una stretta collaborazione con i team di prodotto e vendite per massimizzare il valore dei nostri prodotti e servizi nel mercato delle auto connesse. + + + + +Responsabilità Principali + +Analisi dei Dati: Utilizzare competenze matematiche per analizzare grandi quantità di dati generati dai veicoli connessi. +Collaborazione Interdisciplinare: Lavorare a stretto contatto con il team di prodotto per comprendere le esigenze del mercato e con il team di vendite per supportare strategie basate sui dati. +Innovazione Tecnologica: Rimanere aggiornato sulle ultime tendenze tecnologiche nel campo delle auto connesse e proporre nuove soluzioni per migliorare i prodotti e i servizi. +Rapporti e Presentazioni: Preparare report dettagliati e presentazioni per condividere le analisi e le intuizioni con vari stakeholder interni. +Supporto Decisionale: Fornire supporto basato su dati per le decisioni di business e di prodotto. + + + + +Competenze Richieste + +Conoscenza Matematica: Capacità di applicare concetti matematici avanzati per l'analisi dei dati. +Conoscenza dell'IoT e delle Auto Connesse: Comprensione delle tecnologie e dei trend relativi all'IoT e alle auto connesse. +Abilità di Comunicazione: Capacità di comunicare efficacemente con team interfunzionali, inclusi quelli di prodotto e vendite. +Analisi e Risoluzione dei Problemi: Forti capacità analitiche e di problem-solving. +Capacità di Lavorare in Team: Abilità di lavorare efficacemente in ambienti di squadra e interfunzionali. + + + + +Qualifiche Educative + +Laurea in Informatica, Ingegneria, Statistica, Matematica o Economia. +Eventuali certificazioni o corsi aggiuntivi in analisi dati, programmazione o tecnologie IoT saranno considerati un plus + + + + +Cosa offriamo + +Contratto full time - Stage + + + + + + + +Ai sensi della normativa vigente, il presente annuncio è rivolto a candidati di entrambi i sessi (L.903/77 eD.lgs. n.198/2006) e a persone di tutte le età e tutte le nazionalità (D.lgs. 215/03 e 216/03) + +Show more ","
+ + + + + +
+
+

Siamo un broker assicurativo con sede a Vigevano in provincia di Pavia.

Confrontiamo per il cliente finale i diversi preventivi offerti dalle compagnie assicurative e proponiamo il più vantaggioso, sulla base delle esigenze richieste. Inoltre, mettiamo la nostra piattaforma a disposizione dei dealer che collaborano con noi, in modo da permettere loro di offrire ai clienti oltre ad un servizio di vendita auto, anche una polizza. La nostra missione è quella di portare digitalizzazione e innovazione a tutti gli stakeholder del processo assicurativo dai singoli automobilisti ai partner assicurativi fino ai dealer e ai fleet manager.

Siamo alla ricerca di un/una ""IOT Analyst"" che voglia lavorare nel settore delle Connected Cars. Il/la candidato/a ideale ha una profonda conoscenza della matematica e dei linguaggi di programmazione di base per l'analisi dei dati. Questo ruolo richiede una stretta collaborazione con i team di prodotto e vendite per massimizzare il valore dei nostri prodotti e servizi nel mercato delle auto connesse.


Responsabilità Principali

  • Analisi dei Dati: Utilizzare competenze matematiche per analizzare grandi quantità di dati generati dai veicoli connessi.
  • Collaborazione Interdisciplinare: Lavorare a stretto contatto con il team di prodotto per comprendere le esigenze del mercato e con il team di vendite per supportare strategie basate sui dati.
  • Innovazione Tecnologica: Rimanere aggiornato sulle ultime tendenze tecnologiche nel campo delle auto connesse e proporre nuove soluzioni per migliorare i prodotti e i servizi.
  • Rapporti e Presentazioni: Preparare report dettagliati e presentazioni per condividere le analisi e le intuizioni con vari stakeholder interni.
  • Supporto Decisionale: Fornire supporto basato su dati per le decisioni di business e di prodotto.


Competenze Richieste

  • Conoscenza Matematica: Capacità di applicare concetti matematici avanzati per l'analisi dei dati.
  • Conoscenza dell'IoT e delle Auto Connesse: Comprensione delle tecnologie e dei trend relativi all'IoT e alle auto connesse.
  • Abilità di Comunicazione: Capacità di comunicare efficacemente con team interfunzionali, inclusi quelli di prodotto e vendite.
  • Analisi e Risoluzione dei Problemi: Forti capacità analitiche e di problem-solving.
  • Capacità di Lavorare in Team: Abilità di lavorare efficacemente in ambienti di squadra e interfunzionali.


Qualifiche Educative

  • Laurea in Informatica, Ingegneria, Statistica, Matematica o Economia.
  • Eventuali certificazioni o corsi aggiuntivi in analisi dati, programmazione o tecnologie IoT saranno considerati un plus


Cosa offriamo

  • Contratto full time - Stage



Ai sensi della normativa vigente, il presente annuncio è rivolto a candidati di entrambi i sessi (L.903/77 eD.lgs. n.198/2006) e a persone di tutte le età e tutte le nazionalità (D.lgs. 215/03 e 216/03)

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-08,[] +3989390121,https://it.linkedin.com/jobs/view/digital-business-insight-analyst-at-giorgio-armani-3989390121?position=12&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=e%2FTJBB77ckdR%2FCvwTPy68A%3D%3D&trk=public_jobs_jserp-result_search-card,Digital Business Insight Analyst,Giorgio Armani,"Milan, Lombardy, Italy","Descrizione lavoro: + +The Armani Group is a leading company in the fashion and luxury sector, with more than 8,000 employees. Its three core brands – Giorgio Armani, Emporio Armani and A|X Armani Exchange – are active in many countries all over the world. With origins firmly rooted in Italy, but also with a cosmopolitan vision and culture, the company has grown since it was founded in 1975, expanding its offer from clothes and accessories to cosmetics, fragrances, eyewear, watches, jewellery, and furniture and furnishing accessories. Today, therefore, as well as being well known in the area of fashion, the Armani Group is also renowned in the sectors of interior design, food and beverage, and hotels and resorts. Giorgio Armani has created a style that has, with remarkable consistency, continued to explore countless variations and possibilities over the years. It expresses a precise vision down to the most minute detail: a way of being and presenting oneself, certainly incorporating clothing and accessories, but also including gestures, ways, behaviours and attitudes; a style that goes beyond the sum of its parts, and well beyond what one wears. Convinced that ethics and aesthetics must coincide, Giorgio Armani expresses fundamental and enduring values his clothes. He does so by creating timeless pieces that, enhanced by precious materials and artisanal craftwork, resist the whim of fleeting trends with their pure and essential design. + +  + +Context and Purpose of the job  + +Within the Digital Business Unit, you will join the Business Intelligence & CRO Management team. You will play a pivotal role in supporting the team in all the daily analysis regarding E-commerce, identifying and sharing actional insights to different stakeholders.Responsibilities  + +Process and analyze E-commerce data using data analysis tools to identify actionable insights to maximize online revenue and find new opportunities +Follow deep dive analysis on several business aspects and clearly communicating results to different stakeholders +Conduct standard monthly/weekly/daily reports focusing on brand/region/countries performance +Design, develop and maintain dashboards and reports in Power BI, ensuring the accuracy of the data provided +Support the Digital Team in the extraction of data and creation of ad-hoc analysis +Analyze performance at product level and quantify the impact of promotions both in terms of revenues and business impact +Collaborate with Retail, CRM, Merchandising and Buying team in order to provide comprehensive analysis of different collections/seasons +Provide analysis and interpretation of internal/external market data, highlighting any underlying trends to identify new market opportunities to increase the organization’s profitability +Keep the Digital Team updated on the latest trends focusing on E-commerce and Competition in the Fashion Industry + +Requirements  + +Bachelor’s Degree in Business, Mathematics, Statistics or Computer Science +Previous experience of 2 years in business analytics, the experience in E-Commerce will be considered a plus +Advanced Excel required, knowledge of Power BI (or other similar Data VisualizationTools) and other BI tools (SAP BO, Microstrategy, ecc). +Analytical skills, organization, proactivity, attention to details, strong communication skills. + +   + +We promote diversity and inclusion in all forms, within a collaborative environment where your talent can flourish in the pursuit of a common goal: yours and our growth. + +Show more ","
+ + + + + +
+
+ Descrizione lavoro:

The Armani Group is a leading company in the fashion and luxury sector, with more than 8,000 employees. Its three core brands – Giorgio Armani, Emporio Armani and A|X Armani Exchange – are active in many countries all over the world. With origins firmly rooted in Italy, but also with a cosmopolitan vision and culture, the company has grown since it was founded in 1975, expanding its offer from clothes and accessories to cosmetics, fragrances, eyewear, watches, jewellery, and furniture and furnishing accessories. Today, therefore, as well as being well known in the area of fashion, the Armani Group is also renowned in the sectors of interior design, food and beverage, and hotels and resorts. Giorgio Armani has created a style that has, with remarkable consistency, continued to explore countless variations and possibilities over the years. It expresses a precise vision down to the most minute detail: a way of being and presenting oneself, certainly incorporating clothing and accessories, but also including gestures, ways, behaviours and attitudes; a style that goes beyond the sum of its parts, and well beyond what one wears. Convinced that ethics and aesthetics must coincide, Giorgio Armani expresses fundamental and enduring values his clothes. He does so by creating timeless pieces that, enhanced by precious materials and artisanal craftwork, resist the whim of fleeting trends with their pure and essential design.

 

Context and Purpose of the job 

Within the Digital Business Unit, you will join the Business Intelligence & CRO Management team. You will play a pivotal role in supporting the team in all the daily analysis regarding E-commerce, identifying and sharing actional insights to different stakeholders.Responsibilities 

  • Process and analyze E-commerce data using data analysis tools to identify actionable insights to maximize online revenue and find new opportunities
  • Follow deep dive analysis on several business aspects and clearly communicating results to different stakeholders
  • Conduct standard monthly/weekly/daily reports focusing on brand/region/countries performance
  • Design, develop and maintain dashboards and reports in Power BI, ensuring the accuracy of the data provided
  • Support the Digital Team in the extraction of data and creation of ad-hoc analysis
  • Analyze performance at product level and quantify the impact of promotions both in terms of revenues and business impact
  • Collaborate with Retail, CRM, Merchandising and Buying team in order to provide comprehensive analysis of different collections/seasons
  • Provide analysis and interpretation of internal/external market data, highlighting any underlying trends to identify new market opportunities to increase the organization’s profitability
  • Keep the Digital Team updated on the latest trends focusing on E-commerce and Competition in the Fashion Industry

Requirements 

  • Bachelor’s Degree in Business, Mathematics, Statistics or Computer Science
  • Previous experience of 2 years in business analytics, the experience in E-Commerce will be considered a plus
  • Advanced Excel required, knowledge of Power BI (or other similar Data VisualizationTools) and other BI tools (SAP BO, Microstrategy, ecc).
  • Analytical skills, organization, proactivity, attention to details, strong communication skills.

  

We promote diversity and inclusion in all forms, within a collaborative environment where your talent can flourish in the pursuit of a common goal: yours and our growth.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3971189374,https://it.linkedin.com/jobs/view/data-analyst-at-numia-s-p-a-3971189374?position=13&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=0X%2B7J4GPmK%2FT6BS0rCNUoQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Numia S.p.A.,"Milan, Lombardy, Italy","In Numia facciamo dell'innovazione e della digitalizzazione dei pagamenti il nostro core business, offrendo alle banche prodotti e servizi di monetica ad alto potenziale innovativo. + + + + +Grazie alla sinergia tra le diverse componenti funzionali e tecnologiche, offriamo una risposta tempestiva ai mutamenti di mercato ed alle esigenze della clientela con soluzioni tecnologiche all’avanguardia. + +Siamo una IMEL (Istituto di Monetica Elettronica) che conta oltre 4 milioni di carte di pagamento, più di 200.000 POS e circa di 50 miliardi di euro di transato ogni anno. + + + + +Per l'Unità Organizzativa Digital Services, per le nostre sedi di Roma o Milano, siamo alla ricerca di un* Data Analyst che avrà l'obiettivo di supportare le Funzioni aziendali nella progettazione di reporting e nell'analisi dei dati sul datawarehouse aziendale. + + + + +Entrerai a far parte di un contesto in espansione e continua evoluzione e potrai occuparti di: + +Sviluppare e preimpostare elaborazioni periodiche derivanti da esigenze ricorrenti; +Eseguire estrazioni one shot sulla base di input contestuali; +Definire le strutture necessarie per ottimizzare l’estrazione e l’analisi dei dati; +Collaborare strettamente con i team coinvolti per comprendere le necessità di produzione; +Utilizzare strumenti di business intelligence, con una preferenza per SAP Business Objects e Power BI al fine di estrarre e analizzare le informazioni da diverse fonti. + + + + +Se il progetto ti appassiona e hai i seguenti requisiti, Join Us! + +Buona conoscenza di strumenti di business intelligence, in particolare SAP Business Object e Power BI; +Buona conoscenza di SQL e PL/SQL Oracle; +Ottima capacità di analisi e sintesi; +Forte orientamento al cliente. + + + + +Unendoti al Team Numia troverai: + +Un ambiente di lavoro dinamico e positivo, dove la tua opinione è importante e vogliamo che tu la esprima +Colleghi competenti e collaborativi, con i quali potrai sempre confrontarti e mettere a fattor comune le reciproche conoscenze e capacità +Possibilità di esprimere il tuo talento in un contesto in forte crescita e orientato all’innovazione + + + + +Ti abbiamo incuriosito? Inviaci la tua candidatura all’indirizzo mail selezione@numia.com. + +Prima di candidarti, leggi attentamente la nostra informativa sulla privacy https://www.numia.com/Pagine/Utility/Privacy.aspx + +Il presente annuncio è rivolto a entrambi i sessi, nel rispetto dei D.Lgs. 98/2006 e 151/2015, e a persone di ogni età e nazionalità, razza e origine etnica, orientamento sessuale, disabilità, religione o stato civile, nel rispetto dei D.Lgs. n. 215/2003 e 216/2003. + +Show more ","
+ + + + + +
+
+

In Numia facciamo dell'innovazione e della digitalizzazione dei pagamenti il nostro core business, offrendo alle banche prodotti e servizi di monetica ad alto potenziale innovativo.


Grazie alla sinergia tra le diverse componenti funzionali e tecnologiche, offriamo una risposta tempestiva ai mutamenti di mercato ed alle esigenze della clientela con soluzioni tecnologiche all’avanguardia.

Siamo una IMEL (Istituto di Monetica Elettronica) che conta oltre 4 milioni di carte di pagamento, più di 200.000 POS e circa di 50 miliardi di euro di transato ogni anno.


Per l'Unità Organizzativa Digital Services, per le nostre sedi di Roma o Milano, siamo alla ricerca di un* Data Analyst che avrà l'obiettivo di supportare le Funzioni aziendali nella progettazione di reporting e nell'analisi dei dati sul datawarehouse aziendale.


Entrerai a far parte di un contesto in espansione e continua evoluzione e potrai occuparti di:

  • Sviluppare e preimpostare elaborazioni periodiche derivanti da esigenze ricorrenti;
  • Eseguire estrazioni one shot sulla base di input contestuali;
  • Definire le strutture necessarie per ottimizzare l’estrazione e l’analisi dei dati;
  • Collaborare strettamente con i team coinvolti per comprendere le necessità di produzione;
  • Utilizzare strumenti di business intelligence, con una preferenza per SAP Business Objects e Power BI al fine di estrarre e analizzare le informazioni da diverse fonti.


Se il progetto ti appassiona e hai i seguenti requisiti, Join Us!

  • Buona conoscenza di strumenti di business intelligence, in particolare SAP Business Object e Power BI;
  • Buona conoscenza di SQL e PL/SQL Oracle;
  • Ottima capacità di analisi e sintesi;
  • Forte orientamento al cliente.


Unendoti al Team Numia troverai:

  • Un ambiente di lavoro dinamico e positivo, dove la tua opinione è importante e vogliamo che tu la esprima
  • Colleghi competenti e collaborativi, con i quali potrai sempre confrontarti e mettere a fattor comune le reciproche conoscenze e capacità
  • Possibilità di esprimere il tuo talento in un contesto in forte crescita e orientato all’innovazione


Ti abbiamo incuriosito? Inviaci la tua candidatura all’indirizzo mail selezione@numia.com.

Prima di candidarti, leggi attentamente la nostra informativa sulla privacy https://www.numia.com/Pagine/Utility/Privacy.aspx

Il presente annuncio è rivolto a entrambi i sessi, nel rispetto dei D.Lgs. 98/2006 e 151/2015, e a persone di ogni età e nazionalità, razza e origine etnica, orientamento sessuale, disabilità, religione o stato civile, nel rispetto dei D.Lgs. n. 215/2003 e 216/2003.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-09,[] +3930441224,https://it.linkedin.com/jobs/view/product-data-analyst-at-prima-3930441224?position=14&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=8yIKX8g4EwrPr9trROd5pQ%3D%3D&trk=public_jobs_jserp-result_search-card,Product Data Analyst,Prima,"Milan, Lombardy, Italy","Is it a thrilling opportunity in a dynamic environment which is constantly evolving what you are currently looking for? + +Are you curious to see how a company that operates in the Insurance sector provides a great experience at a great price to its customers using cutting-edge technologies to create and sell its products? Then, we are happy to inform you that you have just got a ticket to the fast lane! + +IT technology lies at the very core of everything we do and our Engineering and Product departments are composed by passionate and innovative people who never stop learning and developing their skills employing the latest stacks and methodologies. + +At Prima, you could take on a whole new challenge. As part of our global community, you’d be in the driving seat of your career; learning and growing with a top-tier team around you. Prima is a place where no matter who you are or what your role is — your voice is valued. + +Back in 2015, we embarked on a mission: to provide great value car insurance that is designed for everyone. And we’ve come a long way, we’ve created a culture where we can fuel each other’s success. But we need your expertise, as we steer things in a new and exciting direction. + +You’re probably thinking… ‘That sounds pretty good’. We agree. + +As well as great colleagues and engaging projects, there are loads of ways we can help you do the best work of your life. We’ve shaped our offering to place a focus on wellbeing, autonomy and development. + +We see benefits as the fuel that will empower you to succeed, if you decide to embark on this journey with us. + +🤸🏽‍♂️ Working in a way that works for you We believe in work-life balance and flexibility. Whether you like working from the office, home or a mixture of both. We’ll help you find a balance that works best for you. We even have a policy that means you can work from any location for 30 days a year. We trust you to steer us forward. + +🏁 The freedom to explore the possibilities We may move fast at Prima, but we move together. We’re invested in your growth; so we’ll give you access to a teaching and learning marketplace. And you’ll have regular sessions with your manager to establish a personal growth plan. + +🌈 Our winning formula: happy and high-performing From private medical insurance to discounted gym memberships and wellbeing initiatives: we’re here to support you. We know how important your health and well-being is, so we’ll go the extra mile to help you when we can. + + + + +As a Product/Web Analyst, you will be responsible for + +Analyzing the user interactions on website and app (behavioural data), in particular on funnel, using SQL query and different web analyst tools (GoogleAnalytics, Firebase, ContentSquare, ...) +Managing simple scripts and providing at the maintenance of all the digital analytics platforms in use (GTM, Looker Studio, GA4, Firebase, …) +Creating & monitoring dashboard on Tableau, Looker Studio or other BI tools +Improving product AB testing in order to increase the conversion rate and customer acquisition +Perform ad-hoc analyses to examine specific phenomena or validate business strategies +Supporting SEO manager with quantitative analyses in order to improve website ranking + + + + +Requirements + +At least 1 year of experience with GA4 or other digital analytics platforms +Good knowledge of GTM +Basic knowledge of how a dataLayer works +Knowledge of SQL and GoogleBigQuery +Good knowledge of Excel and Tableau +Analytical skills and experience in manipulating and interpreting data from different sources + + + + +Nice to have + +Experience in working in an IT departments +Knowledge of Python +Bachelor's degree or equivalent in Statistics, Maths, Economics + + + + +Prima is a community made up of talented and ambitious individuals. We offer equal employment opportunities and are oriented towards diversity and inclusion in the workplace. We prohibit discrimination of any kind based on race, colour, gender, religion, sexual orientation, nationality, disability, genetic information, pregnancy or other protected personal characteristics, as defined by national laws. + +If it sounds like we’d be a good fit for each other, join us in the fast lane! + +Show more ","
+ + + + + +
+
+

Is it a thrilling opportunity in a dynamic environment which is constantly evolving what you are currently looking for?

Are you curious to see how a company that operates in the Insurance sector provides a great experience at a great price to its customers using cutting-edge technologies to create and sell its products? Then, we are happy to inform you that you have just got a ticket to the fast lane!

IT technology lies at the very core of everything we do and our Engineering and Product departments are composed by passionate and innovative people who never stop learning and developing their skills employing the latest stacks and methodologies.

At Prima, you could take on a whole new challenge. As part of our global community, you’d be in the driving seat of your career; learning and growing with a top-tier team around you. Prima is a place where no matter who you are or what your role is — your voice is valued.

Back in 2015, we embarked on a mission: to provide great value car insurance that is designed for everyone. And we’ve come a long way, we’ve created a culture where we can fuel each other’s success. But we need your expertise, as we steer things in a new and exciting direction.

You’re probably thinking… ‘That sounds pretty good’. We agree.

As well as great colleagues and engaging projects, there are loads of ways we can help you do the best work of your life. We’ve shaped our offering to place a focus on wellbeing, autonomy and development.

We see benefits as the fuel that will empower you to succeed, if you decide to embark on this journey with us.

🤸🏽‍♂️ Working in a way that works for you We believe in work-life balance and flexibility. Whether you like working from the office, home or a mixture of both. We’ll help you find a balance that works best for you. We even have a policy that means you can work from any location for 30 days a year. We trust you to steer us forward.

🏁 The freedom to explore the possibilities We may move fast at Prima, but we move together. We’re invested in your growth; so we’ll give you access to a teaching and learning marketplace. And you’ll have regular sessions with your manager to establish a personal growth plan.

🌈 Our winning formula: happy and high-performing From private medical insurance to discounted gym memberships and wellbeing initiatives: we’re here to support you. We know how important your health and well-being is, so we’ll go the extra mile to help you when we can.


As a Product/Web Analyst, you will be responsible for

  • Analyzing the user interactions on website and app (behavioural data), in particular on funnel, using SQL query and different web analyst tools (GoogleAnalytics, Firebase, ContentSquare, ...)
  • Managing simple scripts and providing at the maintenance of all the digital analytics platforms in use (GTM, Looker Studio, GA4, Firebase, …)
  • Creating & monitoring dashboard on Tableau, Looker Studio or other BI tools
  • Improving product AB testing in order to increase the conversion rate and customer acquisition
  • Perform ad-hoc analyses to examine specific phenomena or validate business strategies
  • Supporting SEO manager with quantitative analyses in order to improve website ranking


Requirements

  • At least 1 year of experience with GA4 or other digital analytics platforms
  • Good knowledge of GTM
  • Basic knowledge of how a dataLayer works
  • Knowledge of SQL and GoogleBigQuery
  • Good knowledge of Excel and Tableau
  • Analytical skills and experience in manipulating and interpreting data from different sources


Nice to have

  • Experience in working in an IT departments
  • Knowledge of Python
  • Bachelor's degree or equivalent in Statistics, Maths, Economics


Prima is a community made up of talented and ambitious individuals. We offer equal employment opportunities and are oriented towards diversity and inclusion in the workplace. We prohibit discrimination of any kind based on race, colour, gender, religion, sexual orientation, nationality, disability, genetic information, pregnancy or other protected personal characteristics, as defined by national laws.

If it sounds like we’d be a good fit for each other, join us in the fast lane!

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-15,[] +3994528202,https://it.linkedin.com/jobs/view/data-analyst-internship-at-skill-farm-3994528202?position=16&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=htGkGaQ04QhKvUzIf%2Bu7pQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst Internship,Skill Farm,"Milan, Lombardy, Italy","Skill Farm Members Are Invited to Apply for the Following Role: + +Nello specifico la figura affiancherˆ il Digital Research Manager nelle seguenti attivitˆ: + + +Analisi e gestione database per validazione dati, intelligence interna e benchmarking +Elaborazione di reportistiche e presentazioni ad-hoc +Sviluppo di soluzioni proprietarie in ambito di ricerche e pianificazione +Monitoraggio dei trend emergenti legati al mondo della misurazione e delle ricerche +Supporto alle agenzie media nelle attivitˆ quotidiane (pianificazione strategica e consulenza) + + +REQUISITI + + +Laurea in discipline Economiche o Statistiche; +Passione per il mercato pubblicitario, i media, le ricerche e i sistemi di misurazione; +Forti competenze analitiche/numeriche e particolare attenzione ai dettagli; +Ottima capacitˆ di gestione e utilizzo dei principali sistemi informatici, in particolare del pacchetto Office (Excel e PowerPoint); +Ottima conoscenza della lingua inglese. +Show more ","
+ + + + + +
+
+ Skill Farm Members Are Invited to Apply for the Following Role:

Nello specifico la figura affiancherˆ il Digital Research Manager nelle seguenti attivitˆ:

  • Analisi e gestione database per validazione dati, intelligence interna e benchmarking
  • Elaborazione di reportistiche e presentazioni ad-hoc
  • Sviluppo di soluzioni proprietarie in ambito di ricerche e pianificazione
  • Monitoraggio dei trend emergenti legati al mondo della misurazione e delle ricerche
  • Supporto alle agenzie media nelle attivitˆ quotidiane (pianificazione strategica e consulenza)

REQUISITI

  • Laurea in discipline Economiche o Statistiche;
  • Passione per il mercato pubblicitario, i media, le ricerche e i sistemi di misurazione;
  • Forti competenze analitiche/numeriche e particolare attenzione ai dettagli;
  • Ottima capacitˆ di gestione e utilizzo dei principali sistemi informatici, in particolare del pacchetto Office (Excel e PowerPoint);
  • Ottima conoscenza della lingua inglese.
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-06,[] +3988451909,https://it.linkedin.com/jobs/view/data-analyst-at-mollie-3988451909?position=18&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=M3bG2b%2B2XM5gdguBw8cJMw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Mollie,"Milan, Lombardy, Italy","Your opportunity + +As a Data Analyst in our Onboarding domain, you will support decision-making in our product development processes to enhance the efficiency of our Customer Due Diligence teams and ensure a smooth onboarding experience for Mollie’s customers. You will also provide actionable insights or help product teams extract insights themselves using our self-serve reporting tools. + +You will work closely alongside the domain’s leadership team and software engineers to ensure we collect and store the right data. Then working alongside other data professionals, you’ll build robust data models, perform in-depth analyses and tell compelling stories to steer our product teams in the right direction. + +What You'll Be Doing + + +Product development: work closely with the domain leadership team and engineers to make sure our products synthesise the data required to measure product performance. +Product analytics: dive deep into frontend / behavioural event data to identify friction points, growth opportunities and other potential product levers. +Data modelling: transform data from different sources into clean, robust, performant, easy to use data models based on the analytical needs of your stakeholders. +Data storytelling: turn your insights into compelling stories and share them via presentations, blog posts, memos, dashboards, workshops, or whatever works best! +Business Intelligence: build and maintain robust, performant data models (dbt + Looker) to empower your stakeholders to report their most important product KPIs. +Craft development: contribute to the evolution of the data analytics craft by sharing your insights, challenges and being a vocal member of the community. + + +What You Have + + +3+ years experience as data analyst or data scientist using data to drive product success +Strong problem solving skills and attention to detail +Proactive, pragmatic and have a ‘can do’ attitude +Strong stakeholder management and communication skills +Fluency in SQL (we use BigQuery) and experience with dbt +Experience working with a BI tool (we use Looker) +Experience working with Git + + +Nice to haves + + +Experience with A/B testing and experimentation +Experience with R, Python, or other programming languages +Show more ","
+ + + + + +
+
+ Your opportunity

As a Data Analyst in our Onboarding domain, you will support decision-making in our product development processes to enhance the efficiency of our Customer Due Diligence teams and ensure a smooth onboarding experience for Mollie’s customers. You will also provide actionable insights or help product teams extract insights themselves using our self-serve reporting tools.

You will work closely alongside the domain’s leadership team and software engineers to ensure we collect and store the right data. Then working alongside other data professionals, you’ll build robust data models, perform in-depth analyses and tell compelling stories to steer our product teams in the right direction.

What You'll Be Doing

  • Product development: work closely with the domain leadership team and engineers to make sure our products synthesise the data required to measure product performance.
  • Product analytics: dive deep into frontend / behavioural event data to identify friction points, growth opportunities and other potential product levers.
  • Data modelling: transform data from different sources into clean, robust, performant, easy to use data models based on the analytical needs of your stakeholders.
  • Data storytelling: turn your insights into compelling stories and share them via presentations, blog posts, memos, dashboards, workshops, or whatever works best!
  • Business Intelligence: build and maintain robust, performant data models (dbt + Looker) to empower your stakeholders to report their most important product KPIs.
  • Craft development: contribute to the evolution of the data analytics craft by sharing your insights, challenges and being a vocal member of the community.

What You Have

  • 3+ years experience as data analyst or data scientist using data to drive product success
  • Strong problem solving skills and attention to detail
  • Proactive, pragmatic and have a ‘can do’ attitude
  • Strong stakeholder management and communication skills
  • Fluency in SQL (we use BigQuery) and experience with dbt
  • Experience working with a BI tool (we use Looker)
  • Experience working with Git

Nice to haves

  • Experience with A/B testing and experimentation
  • Experience with R, Python, or other programming languages
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-21,[] +3993807674,https://it.linkedin.com/jobs/view/data-analyst-internship-at-groupm-3993807674?position=19&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=UhoXWyZY%2B0cWx3pzbYXrWA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst Internship,GroupM,"Milan, Lombardy, Italy","Stiamo cercando giovani talenti con la passione per i Media, l’Advertising e i Dati da inserire all’interno del team di “Business Intelligence & Insight” di GroupM la unit specializzata nell’elaborazione dei dati, la produzione di reportistiche e analisi di scenario, la scoperta di insight e lo sviluppo di soluzioni esclusive. + +L’opportunità di stage prevede un percorso di crescita volto ad acquisire competenze relative al settore pubblicitario e dei media, attraverso il supporto e l’affiancamento in attività che vanno dalla pianificazione strategica alla misurazione delle campagne pubblicitarie. + +Nello specifico la figura affiancherà il Digital Research Manager nelle seguenti attività: + + +Analisi e gestione database per validazione dati, intelligence interna e benchmarking +Elaborazione di reportistiche e presentazioni ad-hoc +Sviluppo di soluzioni proprietarie in ambito di ricerche e pianificazione +Monitoraggio dei trend emergenti legati al mondo della misurazione e delle ricerche +Supporto alle agenzie media nelle attività quotidiane (pianificazione strategica e consulenza) + + +REQUISITI + + +Laurea in discipline Economiche o Statistiche; +Passione per il mercato pubblicitario, i media, le ricerche e i sistemi di misurazione; +Forti competenze analitiche/numeriche e particolare attenzione ai dettagli; +Ottima capacità di gestione e utilizzo dei principali sistemi informatici, in particolare del pacchetto Office (Excel e PowerPoint); +Ottima conoscenza della lingua inglese. + + +LOCATION + +Campus WPP Milano ((con possibilità di smart working per qualche giorno) + +Siamo orgogliosi di avere un team composto da persone con background, esperienze e identità diverse. Crediamo che questa diversità sia un punto di forza. Questa posizione è dedicata anche alle persone appartenenti alle Categorie Protette ex l. 68/99 +Show more ","
+ + + + + +
+
+ Stiamo cercando giovani talenti con la passione per i Media, l’Advertising e i Dati da inserire all’interno del team di “Business Intelligence & Insight” di GroupM la unit specializzata nell’elaborazione dei dati, la produzione di reportistiche e analisi di scenario, la scoperta di insight e lo sviluppo di soluzioni esclusive.

L’opportunità di stage prevede un percorso di crescita volto ad acquisire competenze relative al settore pubblicitario e dei media, attraverso il supporto e l’affiancamento in attività che vanno dalla pianificazione strategica alla misurazione delle campagne pubblicitarie.

Nello specifico la figura affiancherà il Digital Research Manager nelle seguenti attività:

  • Analisi e gestione database per validazione dati, intelligence interna e benchmarking
  • Elaborazione di reportistiche e presentazioni ad-hoc
  • Sviluppo di soluzioni proprietarie in ambito di ricerche e pianificazione
  • Monitoraggio dei trend emergenti legati al mondo della misurazione e delle ricerche
  • Supporto alle agenzie media nelle attività quotidiane (pianificazione strategica e consulenza)

REQUISITI

  • Laurea in discipline Economiche o Statistiche;
  • Passione per il mercato pubblicitario, i media, le ricerche e i sistemi di misurazione;
  • Forti competenze analitiche/numeriche e particolare attenzione ai dettagli;
  • Ottima capacità di gestione e utilizzo dei principali sistemi informatici, in particolare del pacchetto Office (Excel e PowerPoint);
  • Ottima conoscenza della lingua inglese.

LOCATION

Campus WPP Milano ((con possibilità di smart working per qualche giorno)

Siamo orgogliosi di avere un team composto da persone con background, esperienze e identità diverse. Crediamo che questa diversità sia un punto di forza. Questa posizione è dedicata anche alle persone appartenenti alle Categorie Protette ex l. 68/99 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3985640716,https://it.linkedin.com/jobs/view/junior-data-analyst-business-consultant-at-acus-3985640716?position=20&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=8a9UkW10Agqz78x25g0Oow%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Analyst & Business consultant,Acus,"Milan, Lombardy, Italy","Se cerchi il solito lavoro da “stereotipo della consulenza”, allora non leggere oltre. + +Se cerchi la costruzione del tuo futuro professionale in un bell’ambiente, dove la PERSONA fa la differenza rispetto al NUMERO, allora sei nel posto giusto. + + + + +Sarai inserito/a in un'area strategica di un nostro importante cliente del settore Energy&Utilies, nell'area di Metering o Billing , dove ti occuperai di supporto operativo per le mansioni, quali: + + + + + + + +● analisi i dati dei flussi, clusterizzazione e risoluzione di problematiche. + +● Re-ingegnerizzare i processi di business attraverso idee innovative + +● Analizzare grandi quantità di dati + +● l’analisi del contesto, individuando i processi critici e le casistiche ricorrenti da efficientare + +●la definizione di KPI relativi alle performance e la predisposizione di un sistema di monitoraggio + +● creazioni di nuove procedure innovative + + + + + + + +Cosa ti offriamo? + +● formazione sui processi e le tecnologie + +● team giovane e internazionale + +● contesto innovativo, dinamico e piacevole + +● orario flessibile + +● assistenza sanitaria integrativa + +● Ticket da 10€ per ogni volta che si è presenti in ufficio + +● inquadramento CCNL Commercio: RAL indicativa 24-26k + +● sede di lavoro a Milano, la presenza è Ibrida e flessibile + + + + + + + +Cosa ti richiediamo? + +● di conoscere bene Excel + +● di avere buone competenze/interesse nell'analisi dei dati + +● di metterti in gioco + +● di assumerti delle responsabilità. + +● di voler aiutare nella costruzione dei processi + +● di saper parlare fluentemente italiano C1 + +● di essere disponibile ad iniziare seconda metà di agosto + + + + +Nice to Have: Conoscenza di sistemi di Data Managing e Data Visualisation possono essere utili nello svolgimento del lavoro + +● Tableau + +● Power BI + +● Salesforce + +● Phyton + + + + +Se sei arrivato fino qui e vuoi leggere ancora qualcosa di noi… + +…siamo una Media Impresa innovativa, di 130 talenti che lavorano insieme con l’obiettivo di offrire soluzioni alle aziende di vendita e distribuzione Energy & Utilities. + +Come i musicisti di un’orchestra legano le note per realizzare la migliore sinfonia, così noi uniamo testa e anima per dare ai clienti nuovi strumenti per affrontare le sfide del mercato. + +È questa la filosofia che guida il nostro approccio: non aspettare, ma proporre idee brillanti e trasformarle in musica. Ideiamo e sviluppiamo software proprietari e innovativi, forniamo consulenza organizzativa e di processo ed evoluti servizi di business creando soluzioni personalizzate per i nostri clienti. + +Ti aspettiamo sul nostro sito e a colloquio. + + + + + + + + + + + + + +Il presente annuncio si rivolge a candidati di entrambi i sessi ai sensi della legge (L.903/77 e D.Lgs n. 98/2006, art 27). L'interessato è invitato a inviare la propria candidatura rilasciando specifico consenso al trattamento dei dati personali, ai sensi della nuova Normativa Europea sulla Privacy, conforme agli artt. 13 e 14 del GDPR (Regolamento (UE), 27 aprile 2016, n. 2016/679). + +Contratto di lavoro: Tempo pieno, Tempo indeterminato + +Retribuzione: a partire da €25.000,00 all'anno + +Show more ","
+ + + + + +
+
+

Se cerchi il solito lavoro da “stereotipo della consulenza”, allora non leggere oltre.

Se cerchi la costruzione del tuo futuro professionale in un bell’ambiente, dove la PERSONA fa la differenza rispetto al NUMERO, allora sei nel posto giusto.


Sarai inserito/a in un'area strategica di un nostro importante cliente del settore Energy&Utilies, nell'area di Metering o Billing , dove ti occuperai di supporto operativo per le mansioni, quali:



● analisi i dati dei flussi, clusterizzazione e risoluzione di problematiche.

● Re-ingegnerizzare i processi di business attraverso idee innovative

● Analizzare grandi quantità di dati

● l’analisi del contesto, individuando i processi critici e le casistiche ricorrenti da efficientare

●la definizione di KPI relativi alle performance e la predisposizione di un sistema di monitoraggio

● creazioni di nuove procedure innovative



Cosa ti offriamo?

● formazione sui processi e le tecnologie

● team giovane e internazionale

● contesto innovativo, dinamico e piacevole

● orario flessibile

● assistenza sanitaria integrativa

● Ticket da 10€ per ogni volta che si è presenti in ufficio

● inquadramento CCNL Commercio: RAL indicativa 24-26k

● sede di lavoro a Milano, la presenza è Ibrida e flessibile



Cosa ti richiediamo?

● di conoscere bene Excel

● di avere buone competenze/interesse nell'analisi dei dati

● di metterti in gioco

● di assumerti delle responsabilità.

● di voler aiutare nella costruzione dei processi

● di saper parlare fluentemente italiano C1

● di essere disponibile ad iniziare seconda metà di agosto


Nice to Have: Conoscenza di sistemi di Data Managing e Data Visualisation possono essere utili nello svolgimento del lavoro

● Tableau

● Power BI

● Salesforce

● Phyton


Se sei arrivato fino qui e vuoi leggere ancora qualcosa di noi…

…siamo una Media Impresa innovativa, di 130 talenti che lavorano insieme con l’obiettivo di offrire soluzioni alle aziende di vendita e distribuzione Energy & Utilities.

Come i musicisti di un’orchestra legano le note per realizzare la migliore sinfonia, così noi uniamo testa e anima per dare ai clienti nuovi strumenti per affrontare le sfide del mercato.

È questa la filosofia che guida il nostro approccio: non aspettare, ma proporre idee brillanti e trasformarle in musica. Ideiamo e sviluppiamo software proprietari e innovativi, forniamo consulenza organizzativa e di processo ed evoluti servizi di business creando soluzioni personalizzate per i nostri clienti.

Ti aspettiamo sul nostro sito e a colloquio.





Il presente annuncio si rivolge a candidati di entrambi i sessi ai sensi della legge (L.903/77 e D.Lgs n. 98/2006, art 27). L'interessato è invitato a inviare la propria candidatura rilasciando specifico consenso al trattamento dei dati personali, ai sensi della nuova Normativa Europea sulla Privacy, conforme agli artt. 13 e 14 del GDPR (Regolamento (UE), 27 aprile 2016, n. 2016/679).

Contratto di lavoro: Tempo pieno, Tempo indeterminato

Retribuzione: a partire da €25.000,00 all'anno

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +4005871061,https://it.linkedin.com/jobs/view/data-analyst-at-libera-universit%C3%A0-vita-salute-san-raffaele-4005871061?position=22&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=B0Nqt%2B0vf8gx1or2Y8qcnQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Libera Università Vita-Salute San Raffaele,"Segrate, Lombardy, Italy","Dove lavorerai? + + + + +Università Vita-Salute San Raffaele è una realtà giovane, nata nel 1996 e già riconosciuta nei ranking internazionali come un’eccellenza scientifica oltreché didattica. + +L’Ateneo, afferente al Gruppo San Donato, uno dei principali gruppi ospedalieri europei, in questi anni sta vivendo una forte trasformazione e crescita. + +La sua mission consiste nel perseguire un approccio “orientato alle persone, per le persone” in un’ottica di inclusività, continua interazione e soddisfazione delle necessità di tutti gli individui coinvolti. + +Per questo motivo Università Vita-Salute San Raffaele si impegna nell’implementazione di nuovi modelli didattici e nel costante sviluppo dei servizi di supporto. + + + + +Cosa stiamo cercando? + + + + +Per la Direzione Sistemi Informativi, UniSR ricerca la figura di una/un Data Analyst che si occuperà di raccogliere, pulire e analizzare grandi quantità di dati sanitari per estrarre informazioni utili. Utilizza tecniche di analisi statistica e strumenti di visualizzazione dei dati per supportare il team nello sviluppo di modelli predittivi e soluzioni AI che migliorano diagnosi, trattamenti e processi sanitari. Inoltre, collabora con professionisti medici e ingegneri per assicurare che i modelli siano accurati e clinicamente rilevanti. + +Un'interessante opportunità per inserirsi in un contesto internazionale, dinamico e innovativo, con la grande possibilità di mettersi in gioco, incrementando competenze tecniche e relazionali. + + + + +Principali attività: + + + + +La risorsa entrerà a far parte del Team IT Ricerca, e si occuperà delle seguenti attività: + +feature selection, della creazione e dell'ottimizzazione dei modelli di dati; +elaborazione, pulizia e verifica dell'integrità di enormi quantità di dati utilizzati per l'analisi; +utilizzo e integrazione di fonti di informazione di terze parti quando necessario; +migliorare le procedure di raccolta dati per includere informazioni rilevanti per la creazione di sistemi analitici; +effettuare analisi ad hoc e presentare i risultati in modo chiaro ed efficace; +creazione di sistemi automatizzati di rilevamento delle anomalie e monitoraggio costante delle sue prestazioni. + + + + +Requisiti: + + + + +laurea in discipline scientifiche (Statistica, Matematica, Informatica, Ingegneria); +precedenti esperienze in ambiti affini saranno considerate un plus. + + + + +Competenze tecniche: + + + + +esperienza con database SQL e NoSQL; +competenza nell'uso di PowerBI; +conoscenza di Databricks, Spark.; +esperienza con Azure Synapse, Azure Data Lake, Azure Data Factory; +conoscenza di Python, R; +conoscenza di strumenti di analisi dei dati (come SQL, Tableau, Excel); +ottima conoscenza della lingua inglese. + + + + +Competenze trasversali: + + + + +capacità analitiche, flessibilità e problem solving; +proattività, motivazione e spirito innovativo; +attitudine a lavorare in team. + + + + +Dettagli: + + + + +Sede di Lavoro: Segrate (Milano); + +Inquadramento: full time, Inquadramento commisurato al livello di esperienza maturata. + + + + +Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del GDPR (Reg. UE 679/2016). + +La ricerca è aperta a candidati di tutti i generi (D.lgs. 198/2006). + +Show more ","
+ + + + + +
+
+

Dove lavorerai?


Università Vita-Salute San Raffaele è una realtà giovane, nata nel 1996 e già riconosciuta nei ranking internazionali come un’eccellenza scientifica oltreché didattica.

L’Ateneo, afferente al Gruppo San Donato, uno dei principali gruppi ospedalieri europei, in questi anni sta vivendo una forte trasformazione e crescita.

La sua mission consiste nel perseguire un approccio “orientato alle persone, per le persone” in un’ottica di inclusività, continua interazione e soddisfazione delle necessità di tutti gli individui coinvolti.

Per questo motivo Università Vita-Salute San Raffaele si impegna nell’implementazione di nuovi modelli didattici e nel costante sviluppo dei servizi di supporto.


Cosa stiamo cercando?


Per la Direzione Sistemi Informativi, UniSR ricerca la figura di una/un Data Analyst che si occuperà di raccogliere, pulire e analizzare grandi quantità di dati sanitari per estrarre informazioni utili. Utilizza tecniche di analisi statistica e strumenti di visualizzazione dei dati per supportare il team nello sviluppo di modelli predittivi e soluzioni AI che migliorano diagnosi, trattamenti e processi sanitari. Inoltre, collabora con professionisti medici e ingegneri per assicurare che i modelli siano accurati e clinicamente rilevanti.

Un'interessante opportunità per inserirsi in un contesto internazionale, dinamico e innovativo, con la grande possibilità di mettersi in gioco, incrementando competenze tecniche e relazionali.


Principali attività:


La risorsa entrerà a far parte del Team IT Ricerca, e si occuperà delle seguenti attività:

  • feature selection, della creazione e dell'ottimizzazione dei modelli di dati;
  • elaborazione, pulizia e verifica dell'integrità di enormi quantità di dati utilizzati per l'analisi;
  • utilizzo e integrazione di fonti di informazione di terze parti quando necessario;
  • migliorare le procedure di raccolta dati per includere informazioni rilevanti per la creazione di sistemi analitici;
  • effettuare analisi ad hoc e presentare i risultati in modo chiaro ed efficace;
  • creazione di sistemi automatizzati di rilevamento delle anomalie e monitoraggio costante delle sue prestazioni.


Requisiti:


  • laurea in discipline scientifiche (Statistica, Matematica, Informatica, Ingegneria);
  • precedenti esperienze in ambiti affini saranno considerate un plus.


Competenze tecniche:


  • esperienza con database SQL e NoSQL;
  • competenza nell'uso di PowerBI;
  • conoscenza di Databricks, Spark.;
  • esperienza con Azure Synapse, Azure Data Lake, Azure Data Factory;
  • conoscenza di Python, R;
  • conoscenza di strumenti di analisi dei dati (come SQL, Tableau, Excel);
  • ottima conoscenza della lingua inglese.


Competenze trasversali:


  • capacità analitiche, flessibilità e problem solving;
  • proattività, motivazione e spirito innovativo;
  • attitudine a lavorare in team.


Dettagli:


Sede di Lavoro: Segrate (Milano);

Inquadramento: full time, Inquadramento commisurato al livello di esperienza maturata.


Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del GDPR (Reg. UE 679/2016).

La ricerca è aperta a candidati di tutti i generi (D.lgs. 198/2006).

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-20,[] +3981616172,https://it.linkedin.com/jobs/view/data-analyst-at-thales-3981616172?position=24&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=E65xShxRoJ2YcnMde4aaMg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Thales,"Gorgonzola, Lombardy, Italy","Location: Gorgonzola, Italy + +Thales people architect solutions that are relied upon to deliver operational advantage at every decisive moment throughout the mission. Defence and armed forces customers rely on us to deliver the full range of defensive systems for land, sea, and air. From early warning, to threat neutralisation, our platforms cover all levels from very short-range systems, to extended protection across the entire battle-space including Airspace Mobility Solutions, Vehicles and Tactical Systems and Missile Defence, Optronics, and Radar. + +Gorgonzola hosts Navigations Air Systems (NAS) domain. The activity of NAS domain: avionics, navigation and radar systems for civil air traffic and technologies supporting the activities of civilian and military pilots, ATC controllers and technicians of several airlines, air traffic control agencies and Air Force around the world. Italy is the Group’s Competence center for the design, production and delivery of Navigation Aids products and Competence Centre for the delivery of non-Radar Surveillance Products. + +We are seeking a highly skilled and motivated Data Analyst to join our Operations team as we enhance and optimize our data architecture. As a Data Analyst, you will play a critical role in building and maintaining our data infrastructure, with a focus on automating data updates and ensuring the reliability and accuracy of our SQL-based data lake. In addition, you will collaborate closely with cross-functional teams to produce key performance indicators (KPIs) and business metrics, facilitating data-driven decision-making and + +contributing to the development of data-driven strategies. + +The ideal candidate will possess a strong analytical mindset, excellent technical skills in Python and SQL, and a keen interest in the business aspect of our operations. + +Responsibilities: + + +Design, build, and maintain our data architecture, ensuring the seamless flow and integration of data across various systems and platforms. +Develop and maintain Python scripts to automate data updates, quality checks, and data transformations, optimizing efficiency and accuracy. +Collaborate with stakeholders to understand their data requirements and translate them into actionable insights, KPIs, and business metrics. +Perform data analysis to identify trends, patterns, and opportunities for improvement, generating valuable insights to support business decision-making processes. +Contribute to the development and implementation of data-driven strategies, leveraging your understanding of both data analytics and business objectives. +Work closely with cross-functional teams such as IT, operations, and finance to ensure data governance, data integrity, and security. +Communicate data findings, insights, and recommendations in a clear and concise manner to both technical and non-technical stakeholders. +Stay up-to-date with new developments in data analysis, technology, and industry best practices, actively seeking opportunities for continuous learning and improvement. +Suggest new applications of AI and Machine Learning based on intimacy with data and operational processes + + + +Education & Experience + + +Bachelor's degree in a relevant field such as Computer Science, Data Science, or a related + + + +discipline. A master's degree is a plus. + + +Strong proficiency in Python and SQL, with experience in building and maintaining SQL-based data lakes and automating data processes using Python scripts. +Solid understanding of data architecture principles, data modeling, and data integration techniques. +Demonstrated experience in data analysis, extracting insights from complex datasets, and producing KPIs and business metrics. +Excellent analytical skills with the ability to gather, assess, and interpret large volumes of data effectively. +Strong business acumen and the ability to connect data insights with organizational goals and strategy. +Familiarity with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools is preferred. +Exceptional attention to detail, problem-solving abilities, and the capacity to work independently and collaboratively in a fast-paced environment. +Excellent communication and presentation skills to convey technical concepts to both technical and non-technical stakeholders. +Strong organizational skills with the ability to prioritize tasks and manage multiple projects simultaneously. + + + +Soft Skills + + +Proactivity, independence and creativity in solving problems +Strong analysis and critical thinking skills. +An ability to turn ideas and initiatives into projects +A flexible approach to work and an agile work style +Target oriented +Willing to learn and attention to details + + + +At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now! +Show more ","
+ + + + + +
+
+ Location: Gorgonzola, Italy

Thales people architect solutions that are relied upon to deliver operational advantage at every decisive moment throughout the mission. Defence and armed forces customers rely on us to deliver the full range of defensive systems for land, sea, and air. From early warning, to threat neutralisation, our platforms cover all levels from very short-range systems, to extended protection across the entire battle-space including Airspace Mobility Solutions, Vehicles and Tactical Systems and Missile Defence, Optronics, and Radar.

Gorgonzola hosts Navigations Air Systems (NAS) domain. The activity of NAS domain: avionics, navigation and radar systems for civil air traffic and technologies supporting the activities of civilian and military pilots, ATC controllers and technicians of several airlines, air traffic control agencies and Air Force around the world. Italy is the Group’s Competence center for the design, production and delivery of Navigation Aids products and Competence Centre for the delivery of non-Radar Surveillance Products.

We are seeking a highly skilled and motivated Data Analyst to join our Operations team as we enhance and optimize our data architecture. As a Data Analyst, you will play a critical role in building and maintaining our data infrastructure, with a focus on automating data updates and ensuring the reliability and accuracy of our SQL-based data lake. In addition, you will collaborate closely with cross-functional teams to produce key performance indicators (KPIs) and business metrics, facilitating data-driven decision-making and

contributing to the development of data-driven strategies.

The ideal candidate will possess a strong analytical mindset, excellent technical skills in Python and SQL, and a keen interest in the business aspect of our operations.

Responsibilities:

  • Design, build, and maintain our data architecture, ensuring the seamless flow and integration of data across various systems and platforms.
  • Develop and maintain Python scripts to automate data updates, quality checks, and data transformations, optimizing efficiency and accuracy.
  • Collaborate with stakeholders to understand their data requirements and translate them into actionable insights, KPIs, and business metrics.
  • Perform data analysis to identify trends, patterns, and opportunities for improvement, generating valuable insights to support business decision-making processes.
  • Contribute to the development and implementation of data-driven strategies, leveraging your understanding of both data analytics and business objectives.
  • Work closely with cross-functional teams such as IT, operations, and finance to ensure data governance, data integrity, and security.
  • Communicate data findings, insights, and recommendations in a clear and concise manner to both technical and non-technical stakeholders.
  • Stay up-to-date with new developments in data analysis, technology, and industry best practices, actively seeking opportunities for continuous learning and improvement.
  • Suggest new applications of AI and Machine Learning based on intimacy with data and operational processes


Education & Experience

  • Bachelor's degree in a relevant field such as Computer Science, Data Science, or a related


discipline. A master's degree is a plus.

  • Strong proficiency in Python and SQL, with experience in building and maintaining SQL-based data lakes and automating data processes using Python scripts.
  • Solid understanding of data architecture principles, data modeling, and data integration techniques.
  • Demonstrated experience in data analysis, extracting insights from complex datasets, and producing KPIs and business metrics.
  • Excellent analytical skills with the ability to gather, assess, and interpret large volumes of data effectively.
  • Strong business acumen and the ability to connect data insights with organizational goals and strategy.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools is preferred.
  • Exceptional attention to detail, problem-solving abilities, and the capacity to work independently and collaboratively in a fast-paced environment.
  • Excellent communication and presentation skills to convey technical concepts to both technical and non-technical stakeholders.
  • Strong organizational skills with the ability to prioritize tasks and manage multiple projects simultaneously.


Soft Skills

  • Proactivity, independence and creativity in solving problems
  • Strong analysis and critical thinking skills.
  • An ability to turn ideas and initiatives into projects
  • A flexible approach to work and an agile work style
  • Target oriented
  • Willing to learn and attention to details


At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now! +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-14,[] +3957593811,https://it.linkedin.com/jobs/view/data-analyst-product-team-at-satispay-3957593811?position=25&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=LLSBw5OpwQEN5WzYz0F5Ig%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Analyst, Product Team",Satispay,"Milan, Lombardy, Italy","About Satispay + +At Satispay, we're not just reimagining payments; we're pioneering a movement toward simplicity and accessibility. Picture yourself at the forefront of innovation, leading the way in revolutionizing payments - and beyond! - across Europe, alongside a vibrant community of like-minded individuals driven by a shared vision: simplifying payments to improve everyone’s life. + +Are you ready to be part of something bigger? Satispay is the place for you! Come be part of our dynamic team and help us shape the future of payments in Europe. + +🚀 Join us as Data Analyst - Product Team and let's make magic happen together. + +Role Overview + +As a Data Analyst, Product Team, you will join the Tech & Product team and collaborate closely with stakeholders from the Product, Engineering, and Marketing teams to identify business needs and uncover analytics opportunities. + +Your Mission + + +Deliver real impact. Bring concrete impact to the product through research and implementation of rigorous data-driven solutions. +Analyze performance. Conduct thorough analysis of product usage and performance data to identify trends and opportunities for improvement. +Generate actionable insights. Distill insights from big data and make recommendations to drive product decisions and future developments. +Design and optimize experiments. Develop and manage A/B tests to optimize and guide product enhancements. +Create and maintain dashboards. Track key metrics and visualize insights to inform stakeholders and drive data-driven decisions. +Manage analytic solutions. Modernize, standardize, troubleshoot, and maintain existing analytic solutions to ensure accuracy and reliability. +Stay current with industry trends. Continuously evolve the organization by adopting best-in-class technologies and techniques. +Enhance data-driven culture. Support decision-making and promote a data-driven culture through ad-hoc analyses and insights. + + +Your Ideal Profile + + +Proven experience and analytical skills. You have 3+ years of working experience in Business Intelligence or Data Analytics and can apply high-level analytical, statistical, and quantitative problem-solving skills to various scenarios. Experience in Product Analytics is a plus. +Expertise in programming. You possess advanced knowledge of SQL and query optimization, as well as extensive knowledge of Python or R. Additionally, you have experience with Looker, Tableau, or similar technologies. +Detail-oriented and communicative. You have a maniacal attention to detail and enjoy executing complex projects. You can communicate in a structured and convincing manner, adapting your style to build trust in a positive and professional way with various stakeholders. +Passion for fintech or startup environments. You are enthusiastic about working in dynamic, innovative settings. +Language proficiency. You are fluent in Italian and English. + + +Don't let a checklist hold you back - at Satispay, we thrive on diverse perspectives and unique strengths. Your individuality could be the missing piece to our puzzle! Even if you don't meet every skill listed above, we encourage you to apply if you're passionate about the role and believe you can contribute to our team's success. + +Your Perks as a Satisperson + +🙆🏻 Join an international team to grow with + +🏡 Hybrid working policy + +🍽️ Fuel your day with our meal vouchers + +🌐 Preply language platform access to expand your language skills + +⭐ Benefit from our 1.2k company welfare budget + +🚀 Own part of Satispay’s success with our Stock Option Plan + +👩🏻‍💻 Gear up with our tech equipment + +🥳 Join us in the fun with team-building events, parties, trips, and more! + +Our selection process is tailored to each role and includes at least a call with our Talent Acquisition Team, a technical evaluation, and a final in-person meeting. Your recruiter will share more insights during your first meeting with us! + +Equal Opportunity Employer + +At Satispay, we're proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless - for instance - of race, color, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs! + +Learn More About Us + +Curious about our core values? Explore them here. + + +Show more ","
+ + + + + +
+
+ About Satispay

At Satispay, we're not just reimagining payments; we're pioneering a movement toward simplicity and accessibility. Picture yourself at the forefront of innovation, leading the way in revolutionizing payments - and beyond! - across Europe, alongside a vibrant community of like-minded individuals driven by a shared vision: simplifying payments to improve everyone’s life.

Are you ready to be part of something bigger? Satispay is the place for you! Come be part of our dynamic team and help us shape the future of payments in Europe.

🚀 Join us as Data Analyst - Product Team and let's make magic happen together.

Role Overview

As a Data Analyst, Product Team, you will join the Tech & Product team and collaborate closely with stakeholders from the Product, Engineering, and Marketing teams to identify business needs and uncover analytics opportunities.

Your Mission

  • Deliver real impact. Bring concrete impact to the product through research and implementation of rigorous data-driven solutions.
  • Analyze performance. Conduct thorough analysis of product usage and performance data to identify trends and opportunities for improvement.
  • Generate actionable insights. Distill insights from big data and make recommendations to drive product decisions and future developments.
  • Design and optimize experiments. Develop and manage A/B tests to optimize and guide product enhancements.
  • Create and maintain dashboards. Track key metrics and visualize insights to inform stakeholders and drive data-driven decisions.
  • Manage analytic solutions. Modernize, standardize, troubleshoot, and maintain existing analytic solutions to ensure accuracy and reliability.
  • Stay current with industry trends. Continuously evolve the organization by adopting best-in-class technologies and techniques.
  • Enhance data-driven culture. Support decision-making and promote a data-driven culture through ad-hoc analyses and insights.

Your Ideal Profile

  • Proven experience and analytical skills. You have 3+ years of working experience in Business Intelligence or Data Analytics and can apply high-level analytical, statistical, and quantitative problem-solving skills to various scenarios. Experience in Product Analytics is a plus.
  • Expertise in programming. You possess advanced knowledge of SQL and query optimization, as well as extensive knowledge of Python or R. Additionally, you have experience with Looker, Tableau, or similar technologies.
  • Detail-oriented and communicative. You have a maniacal attention to detail and enjoy executing complex projects. You can communicate in a structured and convincing manner, adapting your style to build trust in a positive and professional way with various stakeholders.
  • Passion for fintech or startup environments. You are enthusiastic about working in dynamic, innovative settings.
  • Language proficiency. You are fluent in Italian and English.

Don't let a checklist hold you back - at Satispay, we thrive on diverse perspectives and unique strengths. Your individuality could be the missing piece to our puzzle! Even if you don't meet every skill listed above, we encourage you to apply if you're passionate about the role and believe you can contribute to our team's success.

Your Perks as a Satisperson

🙆🏻 Join an international team to grow with

🏡 Hybrid working policy

🍽️ Fuel your day with our meal vouchers

🌐 Preply language platform access to expand your language skills

⭐ Benefit from our 1.2k company welfare budget

🚀 Own part of Satispay’s success with our Stock Option Plan

👩🏻‍💻 Gear up with our tech equipment

🥳 Join us in the fun with team-building events, parties, trips, and more!

Our selection process is tailored to each role and includes at least a call with our Talent Acquisition Team, a technical evaluation, and a final in-person meeting. Your recruiter will share more insights during your first meeting with us!

Equal Opportunity Employer

At Satispay, we're proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless - for instance - of race, color, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs!

Learn More About Us

Curious about our core values? Explore them here.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-06,[] +4000608377,https://it.linkedin.com/jobs/view/data-analyst-junior-at-synsphere-italia-4000608377?position=26&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=HWnGYf9Wz%2FGoq%2BklxzHOXA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - JUNIOR,SynSphere Italia,"Segrate, Lombardy, Italy","Synsphere Italia, azienda attivo nel settore IT, rappresenta prima di tutto una società solida e in forte crescita. La società, composta da un team con elevate competenze tecniche e consolidata esperienza progetta, realizza ed implementa progetti su misura nel mondo IT per medie e grandi aziende. L'azienda offre ottime possibilità di crescita in un ambiente piacevole caratterizzato da una squadra giovane e dinamica. + +Siamo alla ricerca di uno sviluppatore Backend con almeno un anno di esperienza che si unisca al nostro team. + +Il/la candidato/a ideale dovrà essere laureato in Scienze Statistiche, Matematiche, Economia e Commercio oppure Informatica; Essere dotato di una spiccata predisposizione al processo di anali dei dati, dell’estrazione e la pulizia di essi fino alla rappresentazione degli insights raccolti. + +Mansioni: + + +Database management: Estrazione, gestione e pulizia dei dati dai sistemi +Garantire che i problemi relativi ai sistemi e alle relative piattaforme o processi siano segnalati al supporto tecnico e seguiti fino alla risoluzione +Creazione di questionari di Ricerche di mercato, con successiva estrazione delle risposte e analisi dei risultati + + + +Requisiti: + + +Eccellenti capacità di data analysis, processing e mining +Ottime capacità di rappresentazione dei dati analizzati e di esposizione +Ottima conoscenza del pacchetto Microsoft Office, soprattutto Excel +Buona conoscenza del linguaggio di programmazione SQL +Conoscenza di tool per la costruzione di questionari on-line (SurveyMonkey, Google Forms ecc.) + + + +La ricerca è rivolta ai candidati ambosessi (L.903/77). Ti preghiamo di leggere l'informativa sulla privacy (https://www.synsphere.it/privacy) ai sensi dell'art. 13 del Regolamento (UE) 2016/679 sulla protezione dei dati (GDPR). +Show more ","
+ + + + + +
+
+ Synsphere Italia, azienda attivo nel settore IT, rappresenta prima di tutto una società solida e in forte crescita. La società, composta da un team con elevate competenze tecniche e consolidata esperienza progetta, realizza ed implementa progetti su misura nel mondo IT per medie e grandi aziende. L'azienda offre ottime possibilità di crescita in un ambiente piacevole caratterizzato da una squadra giovane e dinamica.

Siamo alla ricerca di uno sviluppatore Backend con almeno un anno di esperienza che si unisca al nostro team.

Il/la candidato/a ideale dovrà essere laureato in Scienze Statistiche, Matematiche, Economia e Commercio oppure Informatica; Essere dotato di una spiccata predisposizione al processo di anali dei dati, dell’estrazione e la pulizia di essi fino alla rappresentazione degli insights raccolti.

Mansioni:

  • Database management: Estrazione, gestione e pulizia dei dati dai sistemi
  • Garantire che i problemi relativi ai sistemi e alle relative piattaforme o processi siano segnalati al supporto tecnico e seguiti fino alla risoluzione
  • Creazione di questionari di Ricerche di mercato, con successiva estrazione delle risposte e analisi dei risultati


Requisiti:

  • Eccellenti capacità di data analysis, processing e mining
  • Ottime capacità di rappresentazione dei dati analizzati e di esposizione
  • Ottima conoscenza del pacchetto Microsoft Office, soprattutto Excel
  • Buona conoscenza del linguaggio di programmazione SQL
  • Conoscenza di tool per la costruzione di questionari on-line (SurveyMonkey, Google Forms ecc.)


La ricerca è rivolta ai candidati ambosessi (L.903/77). Ti preghiamo di leggere l'informativa sulla privacy (https://www.synsphere.it/privacy) ai sensi dell'art. 13 del Regolamento (UE) 2016/679 sulla protezione dei dati (GDPR). +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-17,[] +3989642477,https://it.linkedin.com/jobs/view/data-analyst-at-bending-spoons-3989642477?position=28&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=M%2Fs5sAHkyyKdjwpxWXkamQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Bending Spoons,"Milan, Lombardy, Italy","At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards. + + + + +To achieve this mission, we execute the following strategy: We acquire a digital business with untapped potential and make it as successful as we can by leveraging our platform—which comprises our expertise, technologies, data, brand, talents, and company culture. Then, we invest the proceeds into making our platform more powerful, and into acquiring new businesses. Thus, our strategy sees us combine an investor’s attention to capital allocation with the hands-on approach of an operator. + + + + +For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate. + + + + +A few examples of your responsibilities + +Collaborate with Product and Business teams to determine the most pressing questions that big data can help answer, and then figure out how to uncover those insights. +Query and analyze massive sets of usage data to identify product-improvement opportunities and actionable insights to profoundly impact our product strategy and roadmap. +Create brief, high-quality reports to explain your findings and discuss their implications with the relevant team members. +Screen the app stores and study competing products in search of insights and ideas we could learn from. +Help direct the development of our technologies devoted to the acquisition, storage, and manipulation of big data, supporting our efforts to constantly break new ground in this field. + + + + +What we look for + +Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter. +Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar. +Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent. +Proficiency in English. You read, write, and speak proficiently in English. + + + + +What we offer + +Incredibly talented, entrepreneurial teams. You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field. +An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too. +Competitive pay and access to equity in the company. Typically, we offer an individual at the start of their career a salary of €52,246. Pay grows rapidly as you accumulate experience and translate it into greater impact. You can also receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together. If relocating to Italy, you may enjoy a 50% tax cut. +All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work. + + + + +Commitment & contract + +Permanent or fixed-term. Full-time. + + + + +Location + +Milan (Italy) or fully remote. + + + + +Before you apply + +Bending Spoons is a demanding environment: We’re extremely ambitious and we ask a lot of ourselves and one another. While this tends to lead to fantastic learning, achievements, and career growth, it also requires a significant commitment. So if you like the role and are ready to give your very best, don’t hesitate to apply. + + + + +The selection process + +We welcome applications in English and Italian. If you pass our screening, we’ll ask you to take on a few tests that assess how you approach unfamiliar problems. If you’re successful with those, we’ll invite you to a series of interviews. + + + + +Bending Spoons is an equal opportunity and affirmative action employer. We consider for employment any applicant and we provide reasonable accommodations for an applicant with disabilities, which can be requested at accommodations-ext@bendingspoons.com. + + + + +Studies suggest that women tend not to apply for a job if their CV isn’t a perfect fit. Here, talent takes precedence over experience. So if you like the role and think you could be awesome at it in time, go ahead and apply. + +Show more ","
+ + + + + +
+
+

At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.


To achieve this mission, we execute the following strategy: We acquire a digital business with untapped potential and make it as successful as we can by leveraging our platform—which comprises our expertise, technologies, data, brand, talents, and company culture. Then, we invest the proceeds into making our platform more powerful, and into acquiring new businesses. Thus, our strategy sees us combine an investor’s attention to capital allocation with the hands-on approach of an operator.


For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate.


A few examples of your responsibilities

  • Collaborate with Product and Business teams to determine the most pressing questions that big data can help answer, and then figure out how to uncover those insights.
  • Query and analyze massive sets of usage data to identify product-improvement opportunities and actionable insights to profoundly impact our product strategy and roadmap.
  • Create brief, high-quality reports to explain your findings and discuss their implications with the relevant team members.
  • Screen the app stores and study competing products in search of insights and ideas we could learn from.
  • Help direct the development of our technologies devoted to the acquisition, storage, and manipulation of big data, supporting our efforts to constantly break new ground in this field.


What we look for

  • Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
  • Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
  • Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
  • Proficiency in English. You read, write, and speak proficiently in English.


What we offer

  • Incredibly talented, entrepreneurial teams. You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
  • An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
  • Competitive pay and access to equity in the company. Typically, we offer an individual at the start of their career a salary of €52,246. Pay grows rapidly as you accumulate experience and translate it into greater impact. You can also receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together. If relocating to Italy, you may enjoy a 50% tax cut.
  • All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.


Commitment & contract

Permanent or fixed-term. Full-time.


Location

Milan (Italy) or fully remote.


Before you apply

Bending Spoons is a demanding environment: We’re extremely ambitious and we ask a lot of ourselves and one another. While this tends to lead to fantastic learning, achievements, and career growth, it also requires a significant commitment. So if you like the role and are ready to give your very best, don’t hesitate to apply.


The selection process

We welcome applications in English and Italian. If you pass our screening, we’ll ask you to take on a few tests that assess how you approach unfamiliar problems. If you’re successful with those, we’ll invite you to a series of interviews.


Bending Spoons is an equal opportunity and affirmative action employer. We consider for employment any applicant and we provide reasonable accommodations for an applicant with disabilities, which can be requested at accommodations-ext@bendingspoons.com.


Studies suggest that women tend not to apply for a job if their CV isn’t a perfect fit. Here, talent takes precedence over experience. So if you like the role and think you could be awesome at it in time, go ahead and apply.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3322939638,https://it.linkedin.com/jobs/view/internship-data-analyst-at-crif-3322939638?position=30&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=KgyVz4%2FFeF2BHkU1Mq4Auw%3D%3D&trk=public_jobs_jserp-result_search-card,internship data analyst,CRIF,"Milan, Lombardy, Italy","JUNIOR DATA ANALYST - INTERNSHIP + + + + +Vuoi far parte di un contesto internazionale e in forte crescita? + + + + +Entra a far parte di CRIF, un’azienda globale specializzata nello sviluppo e nella gestione di sistemi di informazioni creditizie (SIC), di business information e di soluzioni per il credito. + + + + +La mission che guida tutti noi di CRIF è creare valore, aiutando le aziende nel miglioramento delle performance e i consumatori nella gestione consapevole del proprio credito attraverso una gamma completa di soluzioni e competenze professionali. + + + + +A fronte di un costante trend di crescita, siamo alla ricerca di: + + + + +INTERNSHIP DATA ANALYST + + + + +Verifica e lavorazione dei dati finanziari + + + + +Stiamo cercando una risorsa che entrerà a far parte del Team Data Quality, (area Data & Solutions Management) che ha l’obiettivo di assicurare la qualità e l’aggiornamento dei dati su piattaforma per la creazione di report e soluzioni di Risk Management, Marketing e Supply Management per le imprese. + + + + +Ruolo e Responsabilità + + + + +Avrai la responsabilità di analizzare e verificare la correttezza dei dati inseriti nel database; +Effettuerai analisi proattive sulla banca dati volte ad identificare margini di efficientamento nei flussi e strategie ottimali per migliorare la qualità del dato; +Raggiungerai una migliore elaborazione dei risultati delle tue analisi grazie ad un costante affiancamento; +Parteciperai attivamente a progetti per il cliente; +Supporterai le attività consulenziali focalizzate sull’implementazione di prodotti e servizi; +Sarai coinvolto nello sviluppo di mercato e di business dell’area. + + + + +Competenze ricercate + + + + +Laurea in economia, ingegneria, statistica o discipline affini +Conoscenza e competenza in ambito SQL +Conoscenza e competenza di Access, Excel, Power Point e Word +Conoscenza fluente di italiano e inglese +Ottime doti relazionali e comunicative +Orientamento al raggiungimento degli obiettivi +Buona attitudine a lavorare in team +Predisposizione all’analisi +Buona gestione dello stress e del tempo nel rispetto delle scadenze + + + + +Le ricerche sono rivolte a candidati dell'uno e dell'altro sesso ai sensi della L. 903/77 e L. 125/91. + + + + +I candidati interessati dovranno inviare la propria candidatura dichiarando espressamente il loro consenso al trattamento dei dati personali (art. 13 del D. Lgs. 196/2003 e art. 13 GDPR 679/16) + + + + +Show more ","
+ + + + + +
+
+ JUNIOR DATA ANALYST - INTERNSHIP


Vuoi far parte di un contesto internazionale e in forte crescita?


Entra a far parte di CRIF, un’azienda globale specializzata nello sviluppo e nella gestione di sistemi di informazioni creditizie (SIC), di business information e di soluzioni per il credito.


La mission che guida tutti noi di CRIF è creare valore, aiutando le aziende nel miglioramento delle performance e i consumatori nella gestione consapevole del proprio credito attraverso una gamma completa di soluzioni e competenze professionali.


A fronte di un costante trend di crescita, siamo alla ricerca di:


INTERNSHIP DATA ANALYST


Verifica e lavorazione dei dati finanziari


Stiamo cercando una risorsa che entrerà a far parte del Team Data Quality, (area Data & Solutions Management) che ha l’obiettivo di assicurare la qualità e l’aggiornamento dei dati su piattaforma per la creazione di report e soluzioni di Risk Management, Marketing e Supply Management per le imprese.


Ruolo e Responsabilità


  • Avrai la responsabilità di analizzare e verificare la correttezza dei dati inseriti nel database;
  • Effettuerai analisi proattive sulla banca dati volte ad identificare margini di efficientamento nei flussi e strategie ottimali per migliorare la qualità del dato;
  • Raggiungerai una migliore elaborazione dei risultati delle tue analisi grazie ad un costante affiancamento;
  • Parteciperai attivamente a progetti per il cliente;
  • Supporterai le attività consulenziali focalizzate sull’implementazione di prodotti e servizi;
  • Sarai coinvolto nello sviluppo di mercato e di business dell’area.


Competenze ricercate


  • Laurea in economia, ingegneria, statistica o discipline affini
  • Conoscenza e competenza in ambito SQL
  • Conoscenza e competenza di Access, Excel, Power Point e Word
  • Conoscenza fluente di italiano e inglese
  • Ottime doti relazionali e comunicative
  • Orientamento al raggiungimento degli obiettivi
  • Buona attitudine a lavorare in team
  • Predisposizione all’analisi
  • Buona gestione dello stress e del tempo nel rispetto delle scadenze


Le ricerche sono rivolte a candidati dell'uno e dell'altro sesso ai sensi della L. 903/77 e L. 125/91.


I candidati interessati dovranno inviare la propria candidatura dichiarando espressamente il loro consenso al trattamento dei dati personali (art. 13 del D. Lgs. 196/2003 e art. 13 GDPR 679/16)


+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-16,[] +4004450225,https://it.linkedin.com/jobs/view/data-analyst-business-operation-junior-at-randstad-technologies-italia-4004450225?position=31&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=ERTkoEHZlGCNbLfR0DrD7g%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst/ Business Operation Junior,Randstad Technologies Italia,"Milan, Lombardy, Italy","Randstad Technologies, divisione specializzata nella ricerca selezione di profili ICT di Randstad Italia, ricerca per società fondata da un primario fondo di investimento infrastrutturale italiano con l’obiettivo di diventare il primo operatore indipendente in Italia nello sviluppo e nella gestione di infrastrutture di ricarica ad alta potenza per veicoli elettrici un + + + + +Data Analyst/Business Operation Specialist Junior + + + + +La risorsa sarà inserita all’interno del dipartimento IT e sarà responsabile della gestione della Data Platform e supporterà le operazioni quotidiane dell'azienda. + + + + +Nello specifico, si occuperà di: + +Gestire la Data Platform, verificando la qualità dei dati e apportando modifiche a report e dashboard +Gestire il processo di settlement delle bollette di energia elettrica (verificando eventuali incongruenze tramite analisi dati) +Supportare i processi verso i clienti finali +Coordinare le attività di troubleshooting con altri dipartimenti interni e fornitori esterni +Analizzare e migliorare i processi aziendali esistenti per ottimizzare l'efficienza operativa + + + + + + + +Sono richiesti i seguenti requisiti: + +diploma e/o Laurea in ambito tecnico e percorso di studi in ambito Analisi dati +conoscenza e utilizzo di strumenti di analisi dati (Microsoft Excel e Power BI) e SQL +gradita esperienza pregressa nel ruolo di Data Analyst +capacità analitiche e di problem solving +attenzione ai dettagli e capacità di gestire più progetti contemporaneamente +gradito interesse per il settore Energy + + + + +Si offre inserimento diretto con l’azienda a tempo indeterminato e RAL commisurata all’esperienza. + + + + +Sede di lavoro: Milano (Zona Linate) con possibilità di smart working. + + + + +La ricerca è rivolta ai candidati ambosessi (l.903/77). Ti preghiamo di leggere l'informativa sulla privacy ai sensi dell'art. 13 del regolamento (ue) 2016/679 sulla protezione dei dati (gdpr). + +Show more ","
+ + + + + +
+
+

Randstad Technologies, divisione specializzata nella ricerca selezione di profili ICT di Randstad Italia, ricerca per società fondata da un primario fondo di investimento infrastrutturale italiano con l’obiettivo di diventare il primo operatore indipendente in Italia nello sviluppo e nella gestione di infrastrutture di ricarica ad alta potenza per veicoli elettrici un


Data Analyst/Business Operation Specialist Junior


La risorsa sarà inserita all’interno del dipartimento IT e sarà responsabile della gestione della Data Platform e supporterà le operazioni quotidiane dell'azienda.


Nello specifico, si occuperà di:

  • Gestire la Data Platform, verificando la qualità dei dati e apportando modifiche a report e dashboard
  • Gestire il processo di settlement delle bollette di energia elettrica (verificando eventuali incongruenze tramite analisi dati)
  • Supportare i processi verso i clienti finali
  • Coordinare le attività di troubleshooting con altri dipartimenti interni e fornitori esterni
  • Analizzare e migliorare i processi aziendali esistenti per ottimizzare l'efficienza operativa



Sono richiesti i seguenti requisiti:

  • diploma e/o Laurea in ambito tecnico e percorso di studi in ambito Analisi dati
  • conoscenza e utilizzo di strumenti di analisi dati (Microsoft Excel e Power BI) e SQL
  • gradita esperienza pregressa nel ruolo di Data Analyst
  • capacità analitiche e di problem solving
  • attenzione ai dettagli e capacità di gestire più progetti contemporaneamente
  • gradito interesse per il settore Energy


Si offre inserimento diretto con l’azienda a tempo indeterminato e RAL commisurata all’esperienza.


Sede di lavoro: Milano (Zona Linate) con possibilità di smart working.


La ricerca è rivolta ai candidati ambosessi (l.903/77). Ti preghiamo di leggere l'informativa sulla privacy ai sensi dell'art. 13 del regolamento (ue) 2016/679 sulla protezione dei dati (gdpr).

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-20,[] +3980765453,https://it.linkedin.com/jobs/view/junior-data-analyst-insurance-at-mavriq-3980765453?position=32&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=9pfQ86n9jd9b%2FLcCRSBhUQ%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Analyst (Insurance),Mavriq,"Milan, Lombardy, Italy","Mavriq, divisione B2C di Moltiply Group, è la tech company a cui appartengono alcuni tra i più importanti brand di comparazione ed intermediazione online in Italia (MutuiOnline.it, Segugio.it, SOStariffe.it, Trovaprezzi.it e molti altri) e all’estero (LeLynx.fr, Rastreator.com e Rastreator.mx). I servizi offerti dai brand di Mavriq aiutano con trasparenza i consumatori a trovare ciò di cui hanno bisogno, al miglior prezzo. Mavriq conta oggi più di 800 persone distribuite in Europa, America Latina ed Asia. + + + + +Posizione + +Il nostro team Insurance è alla ricerca di un/una brillante neolaureato per la posizione di Junior Data Analyst. + +Come Junior Data Analyst avrai il compito di supportare il team nella definizione e realizzazione di progetti strategici con l'obiettivo di garantire il miglior livello di servizio per rispondere alla crescente domanda dei nostri Clienti. Ti occuperai della creazione di modelli quantitativi e dashboard a supporto dello sviluppo di Segugio.it e del miglioramento delle performance dei processi di business, affiancandoti a data analyst esperti ed acquisendo una profonda conoscenza del business assicurativo e dell’online. + + + + +Più nel dettaglio: + +Svilupperai ed implementerai modelli quantitativi e dashboard; +Supporterai la direzione Insurance nell’ottimizzazione dei processi esistenti e nello sviluppo di nuove attività/processi/linee di business; +Lavorerai in sinergia con le diverse funzioni aziendali per sviluppare, testare ed ottimizzare i processi. +Requisiti +Neolaureato STEM o statistica; +Ottime capacità analitiche e propensione all'implementazione di modelli matematici e predittivi; +Precisione e attenzione nell'esecuzione delle attività; +Conoscenza avanzata di Microsoft Excel; +Proattività, predisposizione al lavoro in team; +Conoscenza di R o Python, Tableau e SQL verranno considerati un plus. + + + + +Cosa troverai da noi + +Un ambiente di lavoro giovane e stimolante; +Colleghi altrettanto appassionati con cui confrontarti e imparare (e anche a cui insegnare qualcosa di nuovo); +Possibilità di contribuire attivamente ai successi dell'azienda e di veder riconosciuti i tuoi meriti indipendentemente dalla tua seniority; +Flessibilità, smart working e welfare; +Incontri periodici di feedback che ti permetteranno di accrescere la tua professionalità e migliorare le tue performance; +Momenti di aggregazione, condivisione e celebrazione dei successi; +Iniziative volte alla formazione ed allo scambio di competenze; +Possibilità di lavorare con un team d’eccellenza in ambito assicurativo diretto. + + + + +Se credi che questa sia l'azienda giusta per te, mandaci il tuo CV! + + + + +Sede di lavoro: Milano, via Desenzano 2 (MM Gambara) + + + + + + + +La ricerca è rivolta ad ambo i sessi (ai sensi delle Leggi n. 903/77 e n. 125/91). + + + + +Si richiede esplicito consenso al trattamento dei dati personali (ex D.Lgs. 196/03 e GDPR - Reg.UE. 2016/679). + +Show more ","
+ + + + + +
+
+

Mavriq, divisione B2C di Moltiply Group, è la tech company a cui appartengono alcuni tra i più importanti brand di comparazione ed intermediazione online in Italia (MutuiOnline.it, Segugio.it, SOStariffe.it, Trovaprezzi.it e molti altri) e all’estero (LeLynx.fr, Rastreator.com e Rastreator.mx). I servizi offerti dai brand di Mavriq aiutano con trasparenza i consumatori a trovare ciò di cui hanno bisogno, al miglior prezzo. Mavriq conta oggi più di 800 persone distribuite in Europa, America Latina ed Asia.


Posizione

Il nostro team Insurance è alla ricerca di un/una brillante neolaureato per la posizione di Junior Data Analyst.

Come Junior Data Analyst avrai il compito di supportare il team nella definizione e realizzazione di progetti strategici con l'obiettivo di garantire il miglior livello di servizio per rispondere alla crescente domanda dei nostri Clienti. Ti occuperai della creazione di modelli quantitativi e dashboard a supporto dello sviluppo di Segugio.it e del miglioramento delle performance dei processi di business, affiancandoti a data analyst esperti ed acquisendo una profonda conoscenza del business assicurativo e dell’online.


Più nel dettaglio:

  • Svilupperai ed implementerai modelli quantitativi e dashboard;
  • Supporterai la direzione Insurance nell’ottimizzazione dei processi esistenti e nello sviluppo di nuove attività/processi/linee di business;
  • Lavorerai in sinergia con le diverse funzioni aziendali per sviluppare, testare ed ottimizzare i processi.
  • Requisiti
  • Neolaureato STEM o statistica;
  • Ottime capacità analitiche e propensione all'implementazione di modelli matematici e predittivi;
  • Precisione e attenzione nell'esecuzione delle attività;
  • Conoscenza avanzata di Microsoft Excel;
  • Proattività, predisposizione al lavoro in team;
  • Conoscenza di R o Python, Tableau e SQL verranno considerati un plus.


Cosa troverai da noi

  • Un ambiente di lavoro giovane e stimolante;
  • Colleghi altrettanto appassionati con cui confrontarti e imparare (e anche a cui insegnare qualcosa di nuovo);
  • Possibilità di contribuire attivamente ai successi dell'azienda e di veder riconosciuti i tuoi meriti indipendentemente dalla tua seniority;
  • Flessibilità, smart working e welfare;
  • Incontri periodici di feedback che ti permetteranno di accrescere la tua professionalità e migliorare le tue performance;
  • Momenti di aggregazione, condivisione e celebrazione dei successi;
  • Iniziative volte alla formazione ed allo scambio di competenze;
  • Possibilità di lavorare con un team d’eccellenza in ambito assicurativo diretto.


Se credi che questa sia l'azienda giusta per te, mandaci il tuo CV!


Sede di lavoro: Milano, via Desenzano 2 (MM Gambara)



La ricerca è rivolta ad ambo i sessi (ai sensi delle Leggi n. 903/77 e n. 125/91).


Si richiede esplicito consenso al trattamento dei dati personali (ex D.Lgs. 196/03 e GDPR - Reg.UE. 2016/679).

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-23,[] +3981491343,https://it.linkedin.com/jobs/view/data-analyst-field-marketing-at-cpm-italy-3981491343?position=34&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=TyfJGd1E8BJQJ7fBpADGtg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - Field Marketing,CPM Italy,"Milan, Lombardy, Italy","Vuoi un mini spoiler su CPM? + +Ci prendiamo cura dei maggiori brand mondiali da oltre 80 anni attraverso diverse attività, dal merchandising alle vendite, dalla consumer activation al supporto clienti fino alla formazione sul prodotto. Questa è CPM, una realtà internazionale forte e dinamica, come le persone che ne fanno parte. Per te, rappresenta la grande opportunità di entrare a far parte di una solida multinazionale dove formarti e sviluppare la tua carriera in un settore in crescita e in un ambiente giovane, innovativo e super stimolante. Un’esperienza che ti metterà a contatto con i brand e le aziende più importanti in Italia. + +Candidati e… magari ci vediamo a bordo! + + + + +Ti offriamo di diventare + +il guru dei nostri dati. + + + + +Per te abbiamo una posizione come Data Analyst in un settore, il field marketing, dove la tua competenza può davvero fare la differenza. + +Potrai mettere in luce le tue capacità di analisi e interpretazione del dato al servizio di tanti brand diversi. Annoiarsi? Impossibile. + +Lavorerai nella nostra sede di Milano in spazi di nuova generazione e potrai operare anche da casa e ovunque grazie alle nuove politiche di smart working. Perché in CPM Italy siamo convinti che i tuoi risultati passino anche attraverso la qualità della tua vita. + + + + +Ok, ma cosa farai di preciso? + + + + +Il tuo ruolo riguarda l’analisi e la presentazione dei dati riguardanti la vendita, il posizionamento e la valutazione di campagne promo e di comunicazione in store dei brand delle nostre aziende clienti. + + + + +Come? + +> realizzando report su misura; + +> utilizzando indicatori chiave di performance (KPI); + +> sviluppando e gestendo un avanzato sistema di business intelligence e dashboard online; + +> collaborando con i colleghi del team. + + + + +Sei tu la persona giusta? + + + + +Per entrare nel nostro reparto di Data Analyst è richiesta un’esperienza di almeno 1 anno in questo ruolo. Essere positivi, proattivi e precisi è un ottimo requisito ma i veri must sono la passione per i numeri e la voglia di partecipare sempre a nuove sfide. + + + + +In più è fantastico se… + +> ti piace trasformare dati in informazioni; + +> excel è il tuo pane quotidiano; + +> hai una conoscenza base di SQL e PowerBI + +> ti entusiasma lavorare in team; + +> sei flessibile sia come orari che di mentalità! + + + + +Altre informazioni + +Ricerchiamo una persona che s'identifichi con i valori CPM: condivisione e propensione al lavoro di team, curiosità, integrazione, lavorare per obiettivi sia individuali che di gruppo. + +Ai sensi della legge 12 Marzo 1999, n.68 Inventa CPM promuove l'inserimento e l'integrazione delle persone disabili nel mondo del lavoro, per questo motivo verranno tenute in particolare considerazione le candidature di tutti i soggetti indicati al comma 1 art.1 della succitata legge. + +La ricerca è altresì rivolta ad entrambi i sessi. + +Show more ","
+ + + + + +
+
+

Vuoi un mini spoiler su CPM?

Ci prendiamo cura dei maggiori brand mondiali da oltre 80 anni attraverso diverse attività, dal merchandising alle vendite, dalla consumer activation al supporto clienti fino alla formazione sul prodotto. Questa è CPM, una realtà internazionale forte e dinamica, come le persone che ne fanno parte. Per te, rappresenta la grande opportunità di entrare a far parte di una solida multinazionale dove formarti e sviluppare la tua carriera in un settore in crescita e in un ambiente giovane, innovativo e super stimolante. Un’esperienza che ti metterà a contatto con i brand e le aziende più importanti in Italia.

Candidati e… magari ci vediamo a bordo!


Ti offriamo di diventare

il guru dei nostri dati.


Per te abbiamo una posizione come Data Analyst in un settore, il field marketing, dove la tua competenza può davvero fare la differenza.

Potrai mettere in luce le tue capacità di analisi e interpretazione del dato al servizio di tanti brand diversi. Annoiarsi? Impossibile.

Lavorerai nella nostra sede di Milano in spazi di nuova generazione e potrai operare anche da casa e ovunque grazie alle nuove politiche di smart working. Perché in CPM Italy siamo convinti che i tuoi risultati passino anche attraverso la qualità della tua vita.


Ok, ma cosa farai di preciso?


Il tuo ruolo riguarda l’analisi e la presentazione dei dati riguardanti la vendita, il posizionamento e la valutazione di campagne promo e di comunicazione in store dei brand delle nostre aziende clienti.


Come?

> realizzando report su misura;

> utilizzando indicatori chiave di performance (KPI);

> sviluppando e gestendo un avanzato sistema di business intelligence e dashboard online;

> collaborando con i colleghi del team.


Sei tu la persona giusta?


Per entrare nel nostro reparto di Data Analyst è richiesta un’esperienza di almeno 1 anno in questo ruolo. Essere positivi, proattivi e precisi è un ottimo requisito ma i veri must sono la passione per i numeri e la voglia di partecipare sempre a nuove sfide.


In più è fantastico se…

> ti piace trasformare dati in informazioni;

> excel è il tuo pane quotidiano;

> hai una conoscenza base di SQL e PowerBI

> ti entusiasma lavorare in team;

> sei flessibile sia come orari che di mentalità!


Altre informazioni

Ricerchiamo una persona che s'identifichi con i valori CPM: condivisione e propensione al lavoro di team, curiosità, integrazione, lavorare per obiettivi sia individuali che di gruppo.

Ai sensi della legge 12 Marzo 1999, n.68 Inventa CPM promuove l'inserimento e l'integrazione delle persone disabili nel mondo del lavoro, per questo motivo verranno tenute in particolare considerazione le candidature di tutti i soggetti indicati al comma 1 art.1 della succitata legge.

La ricerca è altresì rivolta ad entrambi i sessi.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-09,[] +3998816471,https://it.linkedin.com/jobs/view/data-analyst-internship-at-bending-spoons-3998816471?position=36&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=ZkkjnSTdFBUYgKl%2FoKpFzA%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Analyst, Internship",Bending Spoons,"Milan, Lombardy, Italy","At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards. + + + + +To achieve this mission, we execute the following strategy: We acquire a digital business with untapped potential and make it as successful as we can by leveraging our platform—which comprises our expertise, technologies, data, brand, talents, and company culture. Then, we invest the proceeds into making our platform more powerful, and into acquiring new businesses. Thus, our strategy sees us combine an investor’s attention to capital allocation with the hands-on approach of an operator. + + + + +For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate. + + + + +A few examples of your responsibilities + +Collaborate with Product and Business teams to determine the most pressing questions that big data can help answer, and then figure out how to uncover those insights. +Query and analyze massive sets of usage data to identify product-improvement opportunities and actionable insights to profoundly impact our product strategy and roadmap. +Create brief, high-quality reports to explain your findings and discuss their implications with the relevant team members. +Screen the app stores and study competing products in search of insights and ideas we could learn from. +Help direct the development of our technologies devoted to the acquisition, storage, and manipulation of big data, supporting our efforts to constantly break new ground in this field. + + + + +What we look for + +Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter. +Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar. +Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent. +Proficiency in English. You read, write, and speak proficiently in English. + + + + +What we offer + +Incredibly talented, entrepreneurial teams. You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field. +An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too. +Competitive pay and access to equity in the company. Typically, we offer an individual at the start of their career a salary of €52,246. Pay grows rapidly as you accumulate experience and translate it into greater impact. You can also receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together. If relocating to Italy, you may enjoy a 50% tax cut. +All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work. + + + + +Commitment & contract + +Permanent or fixed-term. Full-time. + + + + +Location + +Milan (Italy) or fully remote. + + + + +Before you apply + +Bending Spoons is a demanding environment: We’re extremely ambitious and we ask a lot of ourselves and one another. While this tends to lead to fantastic learning, achievements, and career growth, it also requires a significant commitment. So if you like the role and are ready to give your very best, don’t hesitate to apply. + + + + +The selection process + +We welcome applications in English and Italian. If you pass our screening, we’ll ask you to take on a few tests that assess how you approach unfamiliar problems. If you’re successful with those, we’ll invite you to a series of interviews. + + + + +Bending Spoons is an equal opportunity and affirmative action employer. We consider for employment any applicant and we provide reasonable accommodations for an applicant with disabilities, which can be requested at accommodations-ext@bendingspoons.com. + + + + +Studies suggest that women tend not to apply for a job if their CV isn’t a perfect fit. Here, talent takes precedence over experience. So if you like the role and think you could be awesome at it in time, go ahead and apply. + +Show more ","
+ + + + + +
+
+

At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.


To achieve this mission, we execute the following strategy: We acquire a digital business with untapped potential and make it as successful as we can by leveraging our platform—which comprises our expertise, technologies, data, brand, talents, and company culture. Then, we invest the proceeds into making our platform more powerful, and into acquiring new businesses. Thus, our strategy sees us combine an investor’s attention to capital allocation with the hands-on approach of an operator.


For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate.


A few examples of your responsibilities

  • Collaborate with Product and Business teams to determine the most pressing questions that big data can help answer, and then figure out how to uncover those insights.
  • Query and analyze massive sets of usage data to identify product-improvement opportunities and actionable insights to profoundly impact our product strategy and roadmap.
  • Create brief, high-quality reports to explain your findings and discuss their implications with the relevant team members.
  • Screen the app stores and study competing products in search of insights and ideas we could learn from.
  • Help direct the development of our technologies devoted to the acquisition, storage, and manipulation of big data, supporting our efforts to constantly break new ground in this field.


What we look for

  • Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
  • Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
  • Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
  • Proficiency in English. You read, write, and speak proficiently in English.


What we offer

  • Incredibly talented, entrepreneurial teams. You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
  • An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
  • Competitive pay and access to equity in the company. Typically, we offer an individual at the start of their career a salary of €52,246. Pay grows rapidly as you accumulate experience and translate it into greater impact. You can also receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together. If relocating to Italy, you may enjoy a 50% tax cut.
  • All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.


Commitment & contract

Permanent or fixed-term. Full-time.


Location

Milan (Italy) or fully remote.


Before you apply

Bending Spoons is a demanding environment: We’re extremely ambitious and we ask a lot of ourselves and one another. While this tends to lead to fantastic learning, achievements, and career growth, it also requires a significant commitment. So if you like the role and are ready to give your very best, don’t hesitate to apply.


The selection process

We welcome applications in English and Italian. If you pass our screening, we’ll ask you to take on a few tests that assess how you approach unfamiliar problems. If you’re successful with those, we’ll invite you to a series of interviews.


Bending Spoons is an equal opportunity and affirmative action employer. We consider for employment any applicant and we provide reasonable accommodations for an applicant with disabilities, which can be requested at accommodations-ext@bendingspoons.com.


Studies suggest that women tend not to apply for a job if their CV isn’t a perfect fit. Here, talent takes precedence over experience. So if you like the role and think you could be awesome at it in time, go ahead and apply.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-13,[] +3983963359,https://it.linkedin.com/jobs/view/data-analyst-intern-m-f-d-at-baywa-r-e-emea-3983963359?position=37&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=kbudkmeSEUNXSmUs%2BGo6hA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst Intern (m/f/d),BayWa r.e. EMEA,Greater Milan Metropolitan Area,"About us + + + + +BayWa r.e. Italia Srl is the Italian holding of the German multinational company BayWa r.e. We are a growth driven, global company and offer exciting opportunities at every career level with great development potential. We are active worldwide in the wind, solar and bioenergy sectors. For our customers, we are a valued and reliable partner with a diverse range of services. + + + + +About the role + + + + +For our company Energy Trading in Milan (MI), we are looking for a Data Analyst Intern (m/f/d) + + + + +What you will do + + + + +Plants and meteo data collection from SCADA systems and/or data logger of various PV plants and related quantitative analysis on power default and outages of PV plants. This task will focus on another source of uncertainty in the predicted production of PV systems: unplanned outage of components due to failure or deviations from their operating range (e.g., inverters getting too hot). +To tackle this problem, a statistical analysis on historical outage data will be conducted to identify patterns and correlations with energy trading activities. By understanding the link between outage duration and its potential impact on energy trading contracts, operators can implement risk management strategies and contingency plans. This will include analyzing the trade-offs with the self-consumption by the ancillary systems of the plant (e.g., cooling systems). Moreover, the task will yield indications on possible investment in equipment and maintenance practices to reduce the occurrence of power outages, ensuring smoother energy trading operations. +Develop probabilistic forecast at primary substation level to predict possible overgeneration that might cause congestion based on the data provided by the partners or publicly available data: starting from production forecast model of PV plants (provided) the aim of this task is to develop a forecasting service to predict grid congestion. Three levels of precision can be explored: (i) purely data driven forecasting of events, based on historical, publicly available information on congestion and redispatch events (ii) construction of graphs based on the physical topology of the power network and training based on historical data, and (iii) physics-informed machine learning to predict power flows and issues on lines and substations. +Trading strategies for value stacking: define and test trading approaches at the plant level, assuming that high-resolution probabilistic forecasts and some flexibility on the customer’s side are available considering the electrification of the energy system in the future scenarios. Different trading approaches will be tested. Eventually, based on the energy price signals from the ancillary services market, a techno-economic strategy based on probabilistic PV forecasting will be developed, to make PV-battery systems profitable to participate in both the ancillary services and day-ahead markets, rather than in the day-ahead market only. + + + + +What you will need to succeed + + + + +MS in engineering or other quantitative subjects +Excellent English communication skills, both written and spoken +Good knowledge of quantitative analysis Coding capabilities + + + + +Soft skills + +Ability to translate analysis into practical and implementable recommendations +Highly analytical thinker with a structured logical and pragmatic approach to problem solving + + + + +What We Are Ready To Offer You + + + + +Smart working +International team (86 different nationalities working for BayWa r.e. across the globe) +Flat hierarchies, an open culture and plenty of leeway for your ideas +Modern office ambience (height-adjustable desks, additional monitors, ergonomic chairs, etc.) + + + + +Location: Milan + +Term of contract: stage 6/12 months + + + + +You matter to us + + + + +At BayWa r.e. we are fully committed to fostering equity and inclusion and embrace the diversity, of all our people, both present and those yet to join us! We welcome applications from everyone, irrespective of gender, gender identity, national origin, religion, social-, cultural-, or ethnic-background, sex, sexual orientation, age, non-disqualifying physical or mental disability, pregnancy, veteran status, or any other status protected by appropriate law. All hiring decisions are based on business needs, job requirements and qualifications. We are dedicated to being an equal opportunity employer for all by providing an inclusive environment free of discrimination or harassment. + + + + +If you as an applicant require additional assistance or accommodation throughout the recruitment process, please reach out to us. + + + + +Candidates of both sexes (Law 903/77) can send their CV giving authorization to personal data processing according to Legislative Decree 196/03 + +Show more ","
+ + + + + +
+
+

About us


BayWa r.e. Italia Srl is the Italian holding of the German multinational company BayWa r.e. We are a growth driven, global company and offer exciting opportunities at every career level with great development potential. We are active worldwide in the wind, solar and bioenergy sectors. For our customers, we are a valued and reliable partner with a diverse range of services.


About the role


For our company Energy Trading in Milan (MI), we are looking for a Data Analyst Intern (m/f/d)


What you will do


  • Plants and meteo data collection from SCADA systems and/or data logger of various PV plants and related quantitative analysis on power default and outages of PV plants. This task will focus on another source of uncertainty in the predicted production of PV systems: unplanned outage of components due to failure or deviations from their operating range (e.g., inverters getting too hot).
  • To tackle this problem, a statistical analysis on historical outage data will be conducted to identify patterns and correlations with energy trading activities. By understanding the link between outage duration and its potential impact on energy trading contracts, operators can implement risk management strategies and contingency plans. This will include analyzing the trade-offs with the self-consumption by the ancillary systems of the plant (e.g., cooling systems). Moreover, the task will yield indications on possible investment in equipment and maintenance practices to reduce the occurrence of power outages, ensuring smoother energy trading operations.
  • Develop probabilistic forecast at primary substation level to predict possible overgeneration that might cause congestion based on the data provided by the partners or publicly available data: starting from production forecast model of PV plants (provided) the aim of this task is to develop a forecasting service to predict grid congestion. Three levels of precision can be explored: (i) purely data driven forecasting of events, based on historical, publicly available information on congestion and redispatch events (ii) construction of graphs based on the physical topology of the power network and training based on historical data, and (iii) physics-informed machine learning to predict power flows and issues on lines and substations.
  • Trading strategies for value stacking: define and test trading approaches at the plant level, assuming that high-resolution probabilistic forecasts and some flexibility on the customer’s side are available considering the electrification of the energy system in the future scenarios. Different trading approaches will be tested. Eventually, based on the energy price signals from the ancillary services market, a techno-economic strategy based on probabilistic PV forecasting will be developed, to make PV-battery systems profitable to participate in both the ancillary services and day-ahead markets, rather than in the day-ahead market only.


What you will need to succeed


  • MS in engineering or other quantitative subjects
  • Excellent English communication skills, both written and spoken
  • Good knowledge of quantitative analysis Coding capabilities


Soft skills

  • Ability to translate analysis into practical and implementable recommendations
  • Highly analytical thinker with a structured logical and pragmatic approach to problem solving


What We Are Ready To Offer You


  • Smart working
  • International team (86 different nationalities working for BayWa r.e. across the globe)
  • Flat hierarchies, an open culture and plenty of leeway for your ideas
  • Modern office ambience (height-adjustable desks, additional monitors, ergonomic chairs, etc.)


Location: Milan

Term of contract: stage 6/12 months


You matter to us


At BayWa r.e. we are fully committed to fostering equity and inclusion and embrace the diversity, of all our people, both present and those yet to join us! We welcome applications from everyone, irrespective of gender, gender identity, national origin, religion, social-, cultural-, or ethnic-background, sex, sexual orientation, age, non-disqualifying physical or mental disability, pregnancy, veteran status, or any other status protected by appropriate law. All hiring decisions are based on business needs, job requirements and qualifications. We are dedicated to being an equal opportunity employer for all by providing an inclusive environment free of discrimination or harassment.


If you as an applicant require additional assistance or accommodation throughout the recruitment process, please reach out to us.


Candidates of both sexes (Law 903/77) can send their CV giving authorization to personal data processing according to Legislative Decree 196/03

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-19,[] +3798604070,https://it.linkedin.com/jobs/view/data-warehouse-analyst-at-fineco-bank-3798604070?position=38&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=eRhaXrhZR%2FaMwMJp3hYGDA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Warehouse Analyst,Fineco Bank,"Milan, Lombardy, Italy","Company Description + +Fineco Bank is a leading European bank with a 20 years history and a fully digital DNA with a branchless approach since the start. Fineco is one of the banks with the widest products range available. We have developed a truly one-stop-solution which includes trading, investment and payment services. We have developed a 100% proprietary platform for trading and investment which covers all customer needs from trading listed and OTC product to investment product such as mutual funds and ETF. In addition to this we also offer banking and payment solution for domestic and international demand. + +Position + +La funzione ICT sviluppa e gestisce le applicazioni software e l'infrastruttura tecnologica della Banca. Promuove la razionalizzazione in azienda di tutti i processi di lavoro, a supporto delle linee di business, tramite la rilevazione delle esigenze di servizi informatici e promozione delle opportunità tecnologiche offerte dall'evoluzione del sistema informativo. + +Descrizione dell'attività + +Inserita all'interno dell'area Data Warehouse, la persona da noi ricercata sarà chiamata a svolgere le seguenti attività: + + +Analizzare le esigenze degli utenti interni in termini di reporting e analisi. +Esplicitare i fabbisogni informativi. +Disegnare e implementare le procedure di integrazione dati dai sistemi alimentanti. +Definire e implementare i reports e le analisi sui dati. + + + +Requirements + + +Laurea in Ingegneria Informatica, Informatica o Statistica/Matematica. +Interesse verso le tematiche di modellazione dati, sviluppo e gestione database, business intelligence. +Conoscenza di almeno un database fra MS SQL Server, MS Access, Oracle, Sybase, MySQL. + + + +Costituiscono Titolo Preferenziale + + +Esperienza con Analysis Services (SSAS). +Conoscenza di un qualche tool di business intelligence (per esempio PowerBI). + + + +Si desidera entrare in contatto con persone che si distinguono per le ottime capacità relazionali, affidabilità ed autonomia organizzativa. + +Completano il profilo una forte determinazione ed orientamento al risultato, una personalità vivace e proattiva, con ottime capacità organizzative e doti di riservatezza e affidabilità. + +Other information + +Sede di lavoro: Milano (alternanza presenza in sede e smart working) + +Tipo di contratto: CCNL credito, tempo indeterminato + +Il Gruppo Fineco è orgoglioso di essere un Equal Opportunity Employer e si impegna a creare un ambiente di lavoro sicuro e inclusivo, fondato sul rispetto reciproco e la valorizzazione di qualsiasi diversità, offrendo pari opportunità di lavoro. Fineco “The Place To Be” +Show more ","
+ + + + + +
+
+ Company Description

Fineco Bank is a leading European bank with a 20 years history and a fully digital DNA with a branchless approach since the start. Fineco is one of the banks with the widest products range available. We have developed a truly one-stop-solution which includes trading, investment and payment services. We have developed a 100% proprietary platform for trading and investment which covers all customer needs from trading listed and OTC product to investment product such as mutual funds and ETF. In addition to this we also offer banking and payment solution for domestic and international demand.

Position

La funzione ICT sviluppa e gestisce le applicazioni software e l'infrastruttura tecnologica della Banca. Promuove la razionalizzazione in azienda di tutti i processi di lavoro, a supporto delle linee di business, tramite la rilevazione delle esigenze di servizi informatici e promozione delle opportunità tecnologiche offerte dall'evoluzione del sistema informativo.

Descrizione dell'attività

Inserita all'interno dell'area Data Warehouse, la persona da noi ricercata sarà chiamata a svolgere le seguenti attività:

  • Analizzare le esigenze degli utenti interni in termini di reporting e analisi.
  • Esplicitare i fabbisogni informativi.
  • Disegnare e implementare le procedure di integrazione dati dai sistemi alimentanti.
  • Definire e implementare i reports e le analisi sui dati.


Requirements

  • Laurea in Ingegneria Informatica, Informatica o Statistica/Matematica.
  • Interesse verso le tematiche di modellazione dati, sviluppo e gestione database, business intelligence.
  • Conoscenza di almeno un database fra MS SQL Server, MS Access, Oracle, Sybase, MySQL.


Costituiscono Titolo Preferenziale

  • Esperienza con Analysis Services (SSAS).
  • Conoscenza di un qualche tool di business intelligence (per esempio PowerBI).


Si desidera entrare in contatto con persone che si distinguono per le ottime capacità relazionali, affidabilità ed autonomia organizzativa.

Completano il profilo una forte determinazione ed orientamento al risultato, una personalità vivace e proattiva, con ottime capacità organizzative e doti di riservatezza e affidabilità.

Other information

Sede di lavoro: Milano (alternanza presenza in sede e smart working)

Tipo di contratto: CCNL credito, tempo indeterminato

Il Gruppo Fineco è orgoglioso di essere un Equal Opportunity Employer e si impegna a creare un ambiente di lavoro sicuro e inclusivo, fondato sul rispetto reciproco e la valorizzazione di qualsiasi diversità, offrendo pari opportunità di lavoro. Fineco “The Place To Be” +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-13,[] +3997219882,https://it.linkedin.com/jobs/view/junior-data-analyst-scientist-at-skill-farm-3997219882?position=40&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=zsJ0j%2FdHSJCdfzdLNhyZQQ%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Analyst/Scientist,Skill Farm,"Milan, Lombardy, Italy","Skill Farm Members Are Invited to Apply for the Following Role: + +Scopo e Attivitˆ + +Nell'ambito del perimetro della Direzione Data & Artificial Intelligence Office struttura all'interno dell'area di Governo Chief Data, A.I, and Technology Officer , siamo alla ricerca di un Junior Data Scientist che si occupi di sviluppo di soluzioni di Data Science e Artificial Intelligence in collaborazione con diverse aree aziendali al fine di migliroare le prestazioni commerciali e operative. + +Nel ruolo di Data Scientist, svilupperai nuovi modelli predittivi, monitorerai e migliorerai le prestazioni di quelli esistenti. + +Ti occuperai di: + +Collaborare con colleghi di diverse business unit. + +Ricercare ed esplorare diverse fonti dato per identificare quelle pi� adatte. + +Analizzare i dati, valutare la loro qualitˆ e scoprire i pattern nascosti. + +Eseguire un'appropriata feature engineering + +Ricercare e sperimentare vari modelli addestrandoli sui dati disponibili. + +Lavorare in team eterogenei composti da analtOyst, scientist, engineer e esperti di business. + +Gestire simultaneamente differenti attivitˆ. + +Collaborare con il team di Data Engineer per portare in produzione soluzioni prototipali. + +Esperienza Richiesta + +Fino a 2 anni di esperienza in ruoli analoghi. +Show more ","
+ + + + + +
+
+ Skill Farm Members Are Invited to Apply for the Following Role:

Scopo e Attivitˆ

Nell'ambito del perimetro della Direzione Data & Artificial Intelligence Office struttura all'interno dell'area di Governo Chief Data, A.I, and Technology Officer , siamo alla ricerca di un Junior Data Scientist che si occupi di sviluppo di soluzioni di Data Science e Artificial Intelligence in collaborazione con diverse aree aziendali al fine di migliroare le prestazioni commerciali e operative.

Nel ruolo di Data Scientist, svilupperai nuovi modelli predittivi, monitorerai e migliorerai le prestazioni di quelli esistenti.

Ti occuperai di:

Collaborare con colleghi di diverse business unit.

Ricercare ed esplorare diverse fonti dato per identificare quelle pi� adatte.

Analizzare i dati, valutare la loro qualitˆ e scoprire i pattern nascosti.

Eseguire un'appropriata feature engineering

Ricercare e sperimentare vari modelli addestrandoli sui dati disponibili.

Lavorare in team eterogenei composti da analtOyst, scientist, engineer e esperti di business.

Gestire simultaneamente differenti attivitˆ.

Collaborare con il team di Data Engineer per portare in produzione soluzioni prototipali.

Esperienza Richiesta

Fino a 2 anni di esperienza in ruoli analoghi. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-09,[] +3973970762,https://it.linkedin.com/jobs/view/supply-data-analyst-internship-at-ogury-3973970762?position=42&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=m6%2FsnAQA12pNDz5DZho%2Fqg%3D%3D&trk=public_jobs_jserp-result_search-card,Supply Data Analyst - Internship,Ogury,"Milan, Lombardy, Italy","Ogury is a global adtech company that delivers Personified Advertising solutions grounded in privacy to brands, agencies and publishers by focusing on targeting personas, not people. + +We deliver relevant audiences at scale and on quality publisher inventory thanks to our exclusive data, which is meticulously collected and crafted from millions of self-declared customer surveys, enriched with billions of impactful data points, and refined by AI. This results in audience insights and performance not available through any other AdTech platform. + +Founded in 2014, Ogury is a global organization with a diverse team of 500+ people across 17 countries. + +At Ogury, our vision unites us all. But we know that it takes people from all walks of life to come together and make it happen. We embrace and celebrate what makes us different, creating a unique and winning culture where everyone feels safe, has access to the same opportunities, and is excited about bringing their most authentic self to work. Everyday. + +Together we’re changing the face of adtech with values that inspire excellence, standards that encourage a leadership mindset, and an inclusive workplace where Ogurians are engaged and know they belong. + +About The Role + +Ogury is seeking a highly motivated Supply Data Analyst Intern to help our efforts towards data analysis. The intern will assist in collecting, processing, and analyzing data to support our business decisions and strategic initiatives. This internship offers an excellent opportunity to gain hands-on experience in data analysis and work within a dynamic and innovative tech environment. + +What You Will Do + + +Data Collection and Cleaning: Assist in gathering data from multiple sources, including internal databases, spreadsheets, and third-party data systems. Perform data cleaning and preprocessing to ensure data integrity and accuracy. Help maintain data quality and support data management activities. +Data Analysis: Conduct basic statistical analyses and generate reports to identify trends and patterns. Support senior analysts with more complex data analysis tasks. Utilize tools such as Excel, SQL for data manipulation and analysis. +Reporting and Visualization: Create data visualizations, dashboards, and reports using Metabase as the main tool. Present analytical findings to team members and stakeholders in a clear and concise manner. +Support and Collaboration: Collaborate with cross-functional teams to understand their data needs and provide analytical support. Assist in developing and implementing data collection systems and strategies to optimize data efficiency and quality. +Learning and Development: Stay current with industry trends, tools, and techniques in data analysis. Participate in training sessions and workshops to enhance analytical skills and knowledge. + + +About You + + +Currently pursuing a Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field. +Familiarity with Microsoft Excel; knowledge of SQL and data visualization tools such as Metabase is a plus. +Basic understanding of statistical methods and data analysis techniques. +Strong analytical and problem-solving skills. +Excellent attention to detail and organizational skills.Good communication skills, both written and verbal. +Ability to work collaboratively in a team environment and manage multiple tasks simultaneously. +Preferred Qualifications: +Experience with programming languages such as Python. +Understanding of data warehousing concepts and tools. +Experience with big data tools and technologies. + + +Show more ","
+ + + + + +
+
+ Ogury is a global adtech company that delivers Personified Advertising solutions grounded in privacy to brands, agencies and publishers by focusing on targeting personas, not people.

We deliver relevant audiences at scale and on quality publisher inventory thanks to our exclusive data, which is meticulously collected and crafted from millions of self-declared customer surveys, enriched with billions of impactful data points, and refined by AI. This results in audience insights and performance not available through any other AdTech platform.

Founded in 2014, Ogury is a global organization with a diverse team of 500+ people across 17 countries.

At Ogury, our vision unites us all. But we know that it takes people from all walks of life to come together and make it happen. We embrace and celebrate what makes us different, creating a unique and winning culture where everyone feels safe, has access to the same opportunities, and is excited about bringing their most authentic self to work. Everyday.

Together we’re changing the face of adtech with values that inspire excellence, standards that encourage a leadership mindset, and an inclusive workplace where Ogurians are engaged and know they belong.

About The Role

Ogury is seeking a highly motivated Supply Data Analyst Intern to help our efforts towards data analysis. The intern will assist in collecting, processing, and analyzing data to support our business decisions and strategic initiatives. This internship offers an excellent opportunity to gain hands-on experience in data analysis and work within a dynamic and innovative tech environment.

What You Will Do

  • Data Collection and Cleaning: Assist in gathering data from multiple sources, including internal databases, spreadsheets, and third-party data systems. Perform data cleaning and preprocessing to ensure data integrity and accuracy. Help maintain data quality and support data management activities.
  • Data Analysis: Conduct basic statistical analyses and generate reports to identify trends and patterns. Support senior analysts with more complex data analysis tasks. Utilize tools such as Excel, SQL for data manipulation and analysis.
  • Reporting and Visualization: Create data visualizations, dashboards, and reports using Metabase as the main tool. Present analytical findings to team members and stakeholders in a clear and concise manner.
  • Support and Collaboration: Collaborate with cross-functional teams to understand their data needs and provide analytical support. Assist in developing and implementing data collection systems and strategies to optimize data efficiency and quality.
  • Learning and Development: Stay current with industry trends, tools, and techniques in data analysis. Participate in training sessions and workshops to enhance analytical skills and knowledge.

About You

  • Currently pursuing a Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Familiarity with Microsoft Excel; knowledge of SQL and data visualization tools such as Metabase is a plus.
  • Basic understanding of statistical methods and data analysis techniques.
  • Strong analytical and problem-solving skills.
  • Excellent attention to detail and organizational skills.Good communication skills, both written and verbal.
  • Ability to work collaboratively in a team environment and manage multiple tasks simultaneously.
  • Preferred Qualifications:
  • Experience with programming languages such as Python.
  • Understanding of data warehousing concepts and tools.
  • Experience with big data tools and technologies.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3984634243,https://it.linkedin.com/jobs/view/senior-bi-data-analyst-tableau-at-randstad-digital-italy-3984634243?position=43&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=JN%2BRdKTE%2Ft0ZQJmWmatmlg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior BI Data Analyst (Tableau),Randstad Digital Italy,Greater Milan Metropolitan Area,"Randstad Digital è una società di consulenza globale nei settori Information technologies e Engineering, con oltre 25.000 esperti in tutto il mondo. Siamo un'organizzazione che mette al primo posto i talenti, e siamo focalizzati nell’abilitare i nostri clienti nei loro percorsi di trasformazione digitale e nello sviluppare importanti progetti di contenuto tecnologico. + + + + +Sei pronto per la tua prossima sfida? + + + + + + + +Per rafforzare il nostro team, all’interno del contesto italiano in forte fase di scale-up, per l'offerta di servizi professionali in ambito IT, siamo alla ricerca di un/una: + + + + +Senior BI Data Analyst + + + + +La risorsa dovrà occuparsi delle seguenti attività: + + + + +Sviluppo e mantenimento di dashboard e report di Business Intelligence (Tableau); +Estrazione, elaborazione e caricamento dati; +Risoluzione problematiche relative ai dati e gestione dell'infrastruttura di Business Intelligence; +Documentazione tecnica. + + + + +Requisiti: + + + + +Esperienza nel ruolo di Analista in ambito BI; +Capacità di elaborazione dati; +Ottima conoscenza di Tableau; +Conoscenza di SQL; +Buona capacità di problem solving; +Capacità di lavorare in team. + + + + + + + +Sede di lavoro: Milano- Modalità ibrida. + + + + +La ricerca è rivolta ai candidati ambosessi (L.903/77). Ti preghiamo di leggere l'informativa sulla privacy ai sensi dell'art. 13 del Regolamento (UE) 2016/679 sulla protezione dei dati (GDPR). + +Show more ","
+ + + + + +
+
+

Randstad Digital è una società di consulenza globale nei settori Information technologies e Engineering, con oltre 25.000 esperti in tutto il mondo. Siamo un'organizzazione che mette al primo posto i talenti, e siamo focalizzati nell’abilitare i nostri clienti nei loro percorsi di trasformazione digitale e nello sviluppare importanti progetti di contenuto tecnologico.


Sei pronto per la tua prossima sfida?



Per rafforzare il nostro team, all’interno del contesto italiano in forte fase di scale-up, per l'offerta di servizi professionali in ambito IT, siamo alla ricerca di un/una:


Senior BI Data Analyst


La risorsa dovrà occuparsi delle seguenti attività:


  • Sviluppo e mantenimento di dashboard e report di Business Intelligence (Tableau);
  • Estrazione, elaborazione e caricamento dati;
  • Risoluzione problematiche relative ai dati e gestione dell'infrastruttura di Business Intelligence;
  • Documentazione tecnica.


Requisiti:


  • Esperienza nel ruolo di Analista in ambito BI;
  • Capacità di elaborazione dati;
  • Ottima conoscenza di Tableau;
  • Conoscenza di SQL;
  • Buona capacità di problem solving;
  • Capacità di lavorare in team.



Sede di lavoro: Milano- Modalità ibrida.


La ricerca è rivolta ai candidati ambosessi (L.903/77). Ti preghiamo di leggere l'informativa sulla privacy ai sensi dell'art. 13 del Regolamento (UE) 2016/679 sulla protezione dei dati (GDPR).

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+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-25,[] +3982947603,https://it.linkedin.com/jobs/view/business-intelligence-specialist-at-rgi-group-3982947603?position=44&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=r183Hkm2vIe%2F%2FHxqIcWdOQ%3D%3D&trk=public_jobs_jserp-result_search-card,BUSINESS INTELLIGENCE SPECIALIST,RGI Group,"Milan, Lombardy, Italy","The candidate will work in the R&D Product Factory, as part of the Business Intelligence & AI team with other experts in the field and will report to the BI & Data Science Lead. + + + + +The main activities required to the selected candidate aims at consolidating and widening the general knowledge and technological knowhow of RGI in the field of the Business Intelligence. + + + + +Responsibilities: + +Implement reports and dashboards leveraging best in class business intelligence tool (e.g. Qlik Sense) +Conduct analysis on insurance business topics: interview with client, formalization of business requirements into specifications that will be used to implement the required reports and dashboards +Design & build management information dashboards to monitor internal processes and answer business questions about trends, opportunities, and data quality issues +Became responsible of specific project stream, ensuring a high level of data quality for core data sources and relevant KPIs +Research tools, frameworks and mechanisms for data analytics providing input to new technology opportunities that will have an impact on the company BI systems +Collaborate with Data Scientists in the RGI R&D Innovation Department, contributing in the development of new algorithms and models, providing application with vertical focus on the Insurance Industry + + + + +Experiences: 1-3 years’ experience in a Business intelligence and Analytics position. + + + + +Technical competences: + +Previous experience with the business intelligence tool Qlik Sense/Qlik View +Proficiency in database query construction and data mining (SQL, PL/SQL) +Experience in ETL tools (e.g. Talend, IBM DataStage, Business Objects, Alteryx, etc.) and management of databases is a strong plus +Knowledge with one of the following languages: Python, R, MATLAB, SAS is a plus +Knowledge of big data architecture and data manipulation tools, based on Cloudera and HortonWorks (e.g. Apache Spark, Elasticsearch, Kafka….) is a plus +Proven capability to quickly grasp new processes and technologies +Fluent in Italian +Professional English Knowledge + + + + +Personal skills: + +Attitude at team-working +Commitment, precision, autonomy +Willingness of learning and delivering innovation-based products to a wider audience +Attention to detail, passion for processes, systems and data mining + + + + +Education: The candidate will have a Master’s Degree in Statistics, Applied Math, Physics, Engineering, Computer Science or a related quantitative discipline. + + + + + + + +This announcement is addressed to candidates of both sexes pursuant to the law (L.903 / 77 and Legislative Decree No. 98/2006, art. 27). The interested party is invited to send his / her application by giving specific consent to the processing of personal data, pursuant to the new European Privacy Law, in accordance with articles 13 and 14 of the GDPR (Regulation (EU), 27 April 2016, n. 2016/679). + +Show more ","
+ + + + + +
+
+

The candidate will work in the R&D Product Factory, as part of the Business Intelligence & AI team with other experts in the field and will report to the BI & Data Science Lead.


The main activities required to the selected candidate aims at consolidating and widening the general knowledge and technological knowhow of RGI in the field of the Business Intelligence.


Responsibilities:

  • Implement reports and dashboards leveraging best in class business intelligence tool (e.g. Qlik Sense)
  • Conduct analysis on insurance business topics: interview with client, formalization of business requirements into specifications that will be used to implement the required reports and dashboards
  • Design & build management information dashboards to monitor internal processes and answer business questions about trends, opportunities, and data quality issues
  • Became responsible of specific project stream, ensuring a high level of data quality for core data sources and relevant KPIs
  • Research tools, frameworks and mechanisms for data analytics providing input to new technology opportunities that will have an impact on the company BI systems
  • Collaborate with Data Scientists in the RGI R&D Innovation Department, contributing in the development of new algorithms and models, providing application with vertical focus on the Insurance Industry


Experiences: 1-3 years’ experience in a Business intelligence and Analytics position.


Technical competences:

  • Previous experience with the business intelligence tool Qlik Sense/Qlik View
  • Proficiency in database query construction and data mining (SQL, PL/SQL)
  • Experience in ETL tools (e.g. Talend, IBM DataStage, Business Objects, Alteryx, etc.) and management of databases is a strong plus
  • Knowledge with one of the following languages: Python, R, MATLAB, SAS is a plus
  • Knowledge of big data architecture and data manipulation tools, based on Cloudera and HortonWorks (e.g. Apache Spark, Elasticsearch, Kafka….) is a plus
  • Proven capability to quickly grasp new processes and technologies
  • Fluent in Italian
  • Professional English Knowledge


Personal skills:

  • Attitude at team-working
  • Commitment, precision, autonomy
  • Willingness of learning and delivering innovation-based products to a wider audience
  • Attention to detail, passion for processes, systems and data mining


Education: The candidate will have a Master’s Degree in Statistics, Applied Math, Physics, Engineering, Computer Science or a related quantitative discipline.



This announcement is addressed to candidates of both sexes pursuant to the law (L.903 / 77 and Legislative Decree No. 98/2006, art. 27). The interested party is invited to send his / her application by giving specific consent to the processing of personal data, pursuant to the new European Privacy Law, in accordance with articles 13 and 14 of the GDPR (Regulation (EU), 27 April 2016, n. 2016/679).

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+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-23,[] +3954874557,https://it.linkedin.com/jobs/view/data-quality-analyst-at-sennder-3954874557?position=46&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=p6GscUXbrb6Kgsi1bVtxZA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Quality Analyst,sennder,"Milan, Lombardy, Italy","Data Quality Analyst (fixed-term contract) + +sennder is Europe’s leading digital freight forwarder. In a traditional industry, we are moving fast to digitize and automate all road logistics processes. We are a growing team looking for a Data Quality Analyst to help us on our journey to revolutionise road freight logistics. You would join our “Operations Program & Innovation” department, based out of the Milan office and will report to the Team Lead Ops. Quality. + +We value humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives our innovation and we offer a collaborative, dynamic and international work environment. Just be yourself. We are excited to meet you and for you to join us in shaping the future of the logistics industry in Europe. + +What You Will Do … + +As a Data Quality Analyst you’ll work on interesting responsibilities like supporting the Operations Programs & Innovation department and specifically the Network Quality Team by analyzing and identifying logistic network inefficiencies, managing carriers delays and penalties. + + +Ensure compliance with service quality KPIs by monitoring and supporting continuous performance improvement. +Work together with carriers to reduce the impact of low performances through bonus/malus mechanisms. +Analyze operational issues by identifying their root causes and proposing corrective actions through daily KPIs monitoring (e.g., on-time performance, incidents). +Build supplier performance reports in order to create presentations useful to management. +Support the definition of processes with the aim of identifying best practices and improving performance. +Work closely with Operations and Program Management teams to improve our quality metrics. +Develop and maintain relationships with key internal and external stakeholders. + + +What We Are Looking For … + + +Bachelor's degree in economics, statistics, engineering, or equivalent work experience. +Excellent verbal and written communication skills in both Italian and English. +Proficiency in G-Suite and MS Office (Excel & PowerPoint); essential proficiency in SQL. +Strong analytical skills to conduct analyses and translate them into actionable insights. +Proactive, self-starter with excellent organizational skills. +Strong interpersonal skills and adaptive mindset with the ability to learn quickly. +Strong team player with a collaborative attitude. + + +ABOUT Sennder Italia + +sennder Italia, based in the heart of Milan, is a joint venture company between sennder and Poste Italiane. Our company matches the digital and innovative focus on technologies and digitalization of sennder with the expertise and know-how of the largest distribution network in Italy, Poste Italiane. + +We not only connect shippers to our fleet of thousands of trucks, but also improve how they move products in sustainable, cost-efficient, and transparent ways - making the logistics industry fit for the future. In a traditional industry, we’re growing and moving fast to digitally automate all road logistics processes. + +We are building a curious team that is driven by an ambitious desire to solve the toughest logistics puzzles. What others may consider uncertainty, we see as an opportunity to learn and be proactive. We invite you to go on this journey with us and be part of one of Europe’s inspiring growth stories as we fast-forward road logistics into digitalization. Read more about the sennder Italia joint venture here. + +What You Can Expect + +At sennder, we want to maximize the individual potential of all employees and reinforce an inclusive culture and environment of continuous learning that empowers people to succeed as a team. In addition to humility, we value commitment, team spirit and respect to build fruitful collaboration across teams. Learn more about who we are on our career site. + + +Fast growth scale-up with an international team of 1000 people, 74+ nationalities spread across 11 European offices. With English as our common language, we are able to work together. +Learning and development on the job and with the support of a bi-annual review process, learning allowance, high potential programs, sennder onboarding academy, and internal trainings. +Various opportunities to connect with colleagues through regular team events and company get-togethers such as our highly anticipated sennder Summer Camp. +Prioritize employee engagement and mental well-being by fostering a supportive environment through the Likeminded platform and conducting regular employee satisfaction surveys. +Hybrid work model where you seamlessly merge virtual productivity and in-office collaboration with your colleagues. +Commuter allowance to assist employees with their daily travel expenses and a one-time home office benefit to ensure that you're properly equipped wherever you work. +Competitive compensation package including objective-based bonus, referral reward, and in some cases virtual option plan. +For the Milan office we offer: free on-site gym! +Vibrant offices complete with healthy snacks, focus zones, and social areas to connect with your colleagues. Click [here] for a virtual tour and better yet, hope to see you soon! + + +We value humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives our innovation and we offer a collaborative, dynamic, and international work environment. Just be yourself. We are excited to meet you and for you to join us in shaping the future of the logistics industry in Europe. + +If you have any questions or need special accommodation please reach out to us at ta@sennder.com. As soon as you apply your journey with sennder begins. +Show more ","
+ + + + + +
+
+ Data Quality Analyst (fixed-term contract)

sennder is Europe’s leading digital freight forwarder. In a traditional industry, we are moving fast to digitize and automate all road logistics processes. We are a growing team looking for a Data Quality Analyst to help us on our journey to revolutionise road freight logistics. You would join our “Operations Program & Innovation” department, based out of the Milan office and will report to the Team Lead Ops. Quality.

We value humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives our innovation and we offer a collaborative, dynamic and international work environment. Just be yourself. We are excited to meet you and for you to join us in shaping the future of the logistics industry in Europe.

What You Will Do …

As a Data Quality Analyst you’ll work on interesting responsibilities like supporting the Operations Programs & Innovation department and specifically the Network Quality Team by analyzing and identifying logistic network inefficiencies, managing carriers delays and penalties.

  • Ensure compliance with service quality KPIs by monitoring and supporting continuous performance improvement.
  • Work together with carriers to reduce the impact of low performances through bonus/malus mechanisms.
  • Analyze operational issues by identifying their root causes and proposing corrective actions through daily KPIs monitoring (e.g., on-time performance, incidents).
  • Build supplier performance reports in order to create presentations useful to management.
  • Support the definition of processes with the aim of identifying best practices and improving performance.
  • Work closely with Operations and Program Management teams to improve our quality metrics.
  • Develop and maintain relationships with key internal and external stakeholders.

What We Are Looking For …

  • Bachelor's degree in economics, statistics, engineering, or equivalent work experience.
  • Excellent verbal and written communication skills in both Italian and English.
  • Proficiency in G-Suite and MS Office (Excel & PowerPoint); essential proficiency in SQL.
  • Strong analytical skills to conduct analyses and translate them into actionable insights.
  • Proactive, self-starter with excellent organizational skills.
  • Strong interpersonal skills and adaptive mindset with the ability to learn quickly.
  • Strong team player with a collaborative attitude.

ABOUT Sennder Italia

sennder Italia, based in the heart of Milan, is a joint venture company between sennder and Poste Italiane. Our company matches the digital and innovative focus on technologies and digitalization of sennder with the expertise and know-how of the largest distribution network in Italy, Poste Italiane.

We not only connect shippers to our fleet of thousands of trucks, but also improve how they move products in sustainable, cost-efficient, and transparent ways - making the logistics industry fit for the future. In a traditional industry, we’re growing and moving fast to digitally automate all road logistics processes.

We are building a curious team that is driven by an ambitious desire to solve the toughest logistics puzzles. What others may consider uncertainty, we see as an opportunity to learn and be proactive. We invite you to go on this journey with us and be part of one of Europe’s inspiring growth stories as we fast-forward road logistics into digitalization. Read more about the sennder Italia joint venture here.

What You Can Expect

At sennder, we want to maximize the individual potential of all employees and reinforce an inclusive culture and environment of continuous learning that empowers people to succeed as a team. In addition to humility, we value commitment, team spirit and respect to build fruitful collaboration across teams. Learn more about who we are on our career site.

  • Fast growth scale-up with an international team of 1000 people, 74+ nationalities spread across 11 European offices. With English as our common language, we are able to work together.
  • Learning and development on the job and with the support of a bi-annual review process, learning allowance, high potential programs, sennder onboarding academy, and internal trainings.
  • Various opportunities to connect with colleagues through regular team events and company get-togethers such as our highly anticipated sennder Summer Camp.
  • Prioritize employee engagement and mental well-being by fostering a supportive environment through the Likeminded platform and conducting regular employee satisfaction surveys.
  • Hybrid work model where you seamlessly merge virtual productivity and in-office collaboration with your colleagues.
  • Commuter allowance to assist employees with their daily travel expenses and a one-time home office benefit to ensure that you're properly equipped wherever you work.
  • Competitive compensation package including objective-based bonus, referral reward, and in some cases virtual option plan.
  • For the Milan office we offer: free on-site gym!
  • Vibrant offices complete with healthy snacks, focus zones, and social areas to connect with your colleagues. Click [here] for a virtual tour and better yet, hope to see you soon!

We value humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives our innovation and we offer a collaborative, dynamic, and international work environment. Just be yourself. We are excited to meet you and for you to join us in shaping the future of the logistics industry in Europe.

If you have any questions or need special accommodation please reach out to us at ta@sennder.com. As soon as you apply your journey with sennder begins. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-20,[] +3995914315,https://it.linkedin.com/jobs/view/master-data-analyst-at-adecco-3995914315?position=48&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=snMXTlWu3xdSJB62DVlpbQ%3D%3D&trk=public_jobs_jserp-result_search-card,Master Data Analyst,Adecco,"Origgio, Lombardy, Italy","Do you have good expertise in the Supply Chain and want to join an international pharma company? + +We are looking for a Master Data Analyst like you! + +Our client is a multinational pharma company, global leader in pain management. + +The company, an expanding, structured international business, is characterized by state of the art technologies and a strong drive for innovation. + +What the job looks like: + +• Create and maintain material master data records in ERP system ensuring data quality and consistency; + +• Sanity master data parameters check; + +• Collaborate with various department including production, procurement and quality to gather needed information; + +• Create and manage Change Control in the system; + +• Co-ordinate the master data requirements for the introduction of new SKU’s; + +• Monitoring Supply Chain KPI; + +• Maintenance of Bill of Materials; + +• Close collaboration with customers to gather all needed information; + +• Maintain supply prices in ERP System according to contractual terms provided by the internal commercial organizations. + + + + + + + +To make the most of this role and truly thrive, you should have: + + + + + + + +• University Bachelors Degree or equivalent. Green Belt Six Sigma Certifications desirable; + +• Experience Guidelines: minimum of 2 years in supply chain; + +• Profound and comprehensive knowledge of SAP ERP module SD, MM; + +• English fluent (C1); + +• Strong ability with MS Excel and Microsoft Office; + +• Excellent business analytics skills and striving for data-driven conclusions; + +• Strong analytical skills; + +• Experience with SAP ECC. + + + + +The job offer: + +- a permanent contract in a constructive and stimulating workplace; + +- specific training to consolidate role skills; + +- pharmaceutical contract with 14 monthly salaries, production bonus, welfare, free internal canteen, smart working (35-40K). + +Show more ","
+ + + + + +
+
+

Do you have good expertise in the Supply Chain and want to join an international pharma company?

We are looking for a Master Data Analyst like you!

Our client is a multinational pharma company, global leader in pain management.

The company, an expanding, structured international business, is characterized by state of the art technologies and a strong drive for innovation.

What the job looks like:

• Create and maintain material master data records in ERP system ensuring data quality and consistency;

• Sanity master data parameters check;

• Collaborate with various department including production, procurement and quality to gather needed information;

• Create and manage Change Control in the system;

• Co-ordinate the master data requirements for the introduction of new SKU’s;

• Monitoring Supply Chain KPI;

• Maintenance of Bill of Materials;

• Close collaboration with customers to gather all needed information;

• Maintain supply prices in ERP System according to contractual terms provided by the internal commercial organizations.



To make the most of this role and truly thrive, you should have:



• University Bachelors Degree or equivalent. Green Belt Six Sigma Certifications desirable;

• Experience Guidelines: minimum of 2 years in supply chain;

• Profound and comprehensive knowledge of SAP ERP module SD, MM;

• English fluent (C1);

• Strong ability with MS Excel and Microsoft Office;

• Excellent business analytics skills and striving for data-driven conclusions;

• Strong analytical skills;

• Experience with SAP ECC.


The job offer:

- a permanent contract in a constructive and stimulating workplace;

- specific training to consolidate role skills;

- pharmaceutical contract with 14 monthly salaries, production bonus, welfare, free internal canteen, smart working (35-40K).

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-08,[] +3985666292,https://it.linkedin.com/jobs/view/data-analytics-ai-analyst-stage-at-bearingpoint-3985666292?position=49&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=N8yIOPePD8jCpzNcJJbcVw%3D%3D&trk=public_jobs_jserp-result_search-card,"Data, Analytics & AI Analyst (STAGE)",BearingPoint,"Milan, Lombardy, Italy","Are you a creative, data-driven problem solver with an innovative mindset and a passion for Data Analytics & AI? + +Do you have an interest in how Data, Analytics & AI solutions can support the needs of the modern world? + +Are you ready to launch your career in the dynamic world of Data, Analytics & AI consulting? + +Within our Data, Analytics & AI area, we are increasing our local expertise and looking for a new colleague to join as Intern, for a six-moths full-time internship. You will play a key role in applying advanced data analytics. + +You will be based in our Milan office, with a hybrid way of working. + + + + +What will you do? + +You will join a growing, friendly, and compelling team focused on Data, Analytics & AI topics. +You will support our Data, Analytics & AI colleagues in helping our clients understand and gain valuable insights from data, help them understand art of the possible and how to leverage the power of AI, including Generative AI, to ultimately drive tangible business growth. +You will be guided and mentored by more senior professionals that will take care of your professional growth. We work in an open and supportive environment, where new ideas and solutions are always encouraged. +You will be able to understand real business requirements and identify the best solution to achieve the expected outcome. + + + + +Whom are we looking for? + +You have successfully completed a Master’s Degree in Statistics, Finance, Mathematics, Physics, Computer Science, Data Science, Engineering, Business Analytics disciplines, or similar fields, gained with excellent results from a top University/Business School. +You are willing to continuously learn and research on new approach and technologies related to data management and analytics. +You are interested in data collection, interpretation, analysis as well as presentation of insights. +You know at least a coding language. +You have good communication and team-working skills. +You have a quantitative mindset and analytical approach. +You are able to communicate both in Italian and English at all levels of the Organization (other European languages will be considered as a plus). + +You will have an advantage, if additionally, you have: + +Previous internship experience, especially within leading consulting firms. +Knowledge of Python and/or SQL. +Knowledge of data visualization and data analytics tools like Tableau, Power BI, Spotfire, Qlik. +Knowledge of modelling. + + + + +We want to offer you a unique experience! + +You will work in a global organization that is large enough to offer a wide variety of challenging opportunities, but in a local community where everyone knows your name and is always willing to offer support. +You will join our international network of Data, Analytics & AI experts and help companies to succeed in their technology ambitions. +You will be supported to continuously grow and develop your career through regular discussions with your development manager, formal training, and direct project work. +You will work with other like-minded and creative individuals to develop new ideas that have the potential to make a real difference to the businesses we work with. +We offer competitive compensation as well as a comprehensive benefits package, which includes electronic meal vouchers, and company computer and iPhone. +Are you interested in discovering more about our culture? Let's take a look at our Instagram profile. + + + + +About BearingPoint + +BearingPoint is an independent management and technology consultancy with European roots and a global reach. We operate in four units: Consulting, Solutions, Business Services, and Ventures. Consulting covers the advisory business; Solutions provides the tools for successful digital transformation, advanced analytics and regulatory requirements; Business Services provides managed services beyond SaaS; Ventures drives the financing and development of start-ups. + +Our clients include many of the world’s leading companies and organizations. We have a global consulting network with more than 10,000 people and support clients in over 75 countries, engaging with them to achieve measurable and sustainable success. + +We are guided by our purpose – Together, we are more than business. + +It revolves around three key areas of focus – More innovation, more for our planet and more for our people. Our people promises – Purpose in Practice, Deeper Connections, New Flexibility, Personal and Professional Growth, and Holistic Wellbeing and Rewards, brings together our values, aspirations, and responsibilities towards our people. It helps our people achieve and accomplish more than you can imagine possible. + +We can’t do this alone. We can do this together. Join us! + + + + +Interested? + +If this sounds like the ideal environment for you to work, innovate and achieve our shared purpose, join our high-performing team, apply now! + + + + +Equality & Inclusion + +BearingPoint is an equal opportunities employer. We are committed to creating a diverse and inclusive workforce where each individual feels they belong. Fostering a work environment with a strong sense of community and where everyone can thrive is a core pillar of our business. + +We are focused on attracting and retaining the best people with the right skills and the desire to deliver excellent results, regardless of background. In return, we will provide a working environment in which everyone feels valued and has the opportunity to fulfill their potential, where their talents are fully utilized, and company goals are met. We celebrate the strength that comes from our similarities and our differences through local initiatives which promote inclusion, outreach, and respect. + + + + +Please click here to view our privacy policy. + +Show more ","
+ + + + + +
+
+

Are you a creative, data-driven problem solver with an innovative mindset and a passion for Data Analytics & AI?

Do you have an interest in how Data, Analytics & AI solutions can support the needs of the modern world?

Are you ready to launch your career in the dynamic world of Data, Analytics & AI consulting?

Within our Data, Analytics & AI area, we are increasing our local expertise and looking for a new colleague to join as Intern, for a six-moths full-time internship. You will play a key role in applying advanced data analytics.

You will be based in our Milan office, with a hybrid way of working.


What will you do?

  • You will join a growing, friendly, and compelling team focused on Data, Analytics & AI topics.
  • You will support our Data, Analytics & AI colleagues in helping our clients understand and gain valuable insights from data, help them understand art of the possible and how to leverage the power of AI, including Generative AI, to ultimately drive tangible business growth.
  • You will be guided and mentored by more senior professionals that will take care of your professional growth. We work in an open and supportive environment, where new ideas and solutions are always encouraged.
  • You will be able to understand real business requirements and identify the best solution to achieve the expected outcome.


Whom are we looking for?

  • You have successfully completed a Master’s Degree in Statistics, Finance, Mathematics, Physics, Computer Science, Data Science, Engineering, Business Analytics disciplines, or similar fields, gained with excellent results from a top University/Business School.
  • You are willing to continuously learn and research on new approach and technologies related to data management and analytics.
  • You are interested in data collection, interpretation, analysis as well as presentation of insights.
  • You know at least a coding language.
  • You have good communication and team-working skills.
  • You have a quantitative mindset and analytical approach.
  • You are able to communicate both in Italian and English at all levels of the Organization (other European languages will be considered as a plus).

You will have an advantage, if additionally, you have:

  • Previous internship experience, especially within leading consulting firms.
  • Knowledge of Python and/or SQL.
  • Knowledge of data visualization and data analytics tools like Tableau, Power BI, Spotfire, Qlik.
  • Knowledge of modelling.


We want to offer you a unique experience!

  • You will work in a global organization that is large enough to offer a wide variety of challenging opportunities, but in a local community where everyone knows your name and is always willing to offer support.
  • You will join our international network of Data, Analytics & AI experts and help companies to succeed in their technology ambitions.
  • You will be supported to continuously grow and develop your career through regular discussions with your development manager, formal training, and direct project work.
  • You will work with other like-minded and creative individuals to develop new ideas that have the potential to make a real difference to the businesses we work with.
  • We offer competitive compensation as well as a comprehensive benefits package, which includes electronic meal vouchers, and company computer and iPhone.
  • Are you interested in discovering more about our culture? Let's take a look at our Instagram profile.


About BearingPoint

BearingPoint is an independent management and technology consultancy with European roots and a global reach. We operate in four units: Consulting, Solutions, Business Services, and Ventures. Consulting covers the advisory business; Solutions provides the tools for successful digital transformation, advanced analytics and regulatory requirements; Business Services provides managed services beyond SaaS; Ventures drives the financing and development of start-ups.

Our clients include many of the world’s leading companies and organizations. We have a global consulting network with more than 10,000 people and support clients in over 75 countries, engaging with them to achieve measurable and sustainable success.

We are guided by our purpose – Together, we are more than business.

It revolves around three key areas of focus – More innovation, more for our planet and more for our people. Our people promises – Purpose in Practice, Deeper Connections, New Flexibility, Personal and Professional Growth, and Holistic Wellbeing and Rewards, brings together our values, aspirations, and responsibilities towards our people. It helps our people achieve and accomplish more than you can imagine possible.

We can’t do this alone. We can do this together. Join us!


Interested?

If this sounds like the ideal environment for you to work, innovate and achieve our shared purpose, join our high-performing team, apply now!


Equality & Inclusion

BearingPoint is an equal opportunities employer. We are committed to creating a diverse and inclusive workforce where each individual feels they belong. Fostering a work environment with a strong sense of community and where everyone can thrive is a core pillar of our business.

We are focused on attracting and retaining the best people with the right skills and the desire to deliver excellent results, regardless of background. In return, we will provide a working environment in which everyone feels valued and has the opportunity to fulfill their potential, where their talents are fully utilized, and company goals are met. We celebrate the strength that comes from our similarities and our differences through local initiatives which promote inclusion, outreach, and respect.


Please click here to view our privacy policy.

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+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +3938591392,https://it.linkedin.com/jobs/view/business-intelligence-at-stmicroelectronics-3938591392?position=50&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=7rp3%2B%2BrcPVgX9Tk9w70cpw%3D%3D&trk=public_jobs_jserp-result_search-card,Business Intelligence,STMicroelectronics,"Agrate Brianza, Lombardy, Italy","OUR STORY + +At ST, we believe in the power of technology to drive innovation and make a positive impact on people, business, and society. We are a global semiconductor company, and our advanced technology & chips forms the hidden part of the world we live in today. + +When you join ST, you will be part of a global business of more than 115+ nationalities and present in 40 countries, 50,000+, diverse and dedicated creators & makers of technology around the world! + +Developing technologies takes more than talent: it takes amazing people who understands collaboration and respect. People with passion and desire to disrupt the status quo, push boundaries and drive innovation – whilst unlocking your own potential. + +Working at ST means innovating for a future that we want to make smarter, greener, in a responsible and sustainable way. Our technology starts with you. Join us and start the future! + +Looking for an intern to automate specific and key business data collection, through new available AI tools, to improve the overall efficiency in business data management. + +The goal of the internship is to design and implement an automated AI based system for easy and effective business data collection (from different sources), analysis and presentation aimed to reduce time and efforts spent on those data analysis and presentations creation. + +Main users of the outcomes will be divisional management team. + +Profile + +Graduate (pre or post) in Data Analytics with good understanding of AI tools and algorithms + +Open minded and used to teamwork + +Good communication skills + +Trustworthy and results oriented + +We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, Equity and Inclusion (DEI) is part of our company culture. Our DEI vision is, “At ST, you can be the true version of yourself”, we value all employee contributions and have zero tolerance for any kind of discrimination. + +Joining us is also about a greater work-life balance and workplace with equal opportunities. Dedicated Employee Resource Groups for women and LGBTQIA+, hybrid work arrangements are amongst the many DEI & Sustainability initiatives that make us a great place to evolve your career. + +To discover more, visit st.com/careers +Show more ","
+ + + + + +
+
+ OUR STORY

At ST, we believe in the power of technology to drive innovation and make a positive impact on people, business, and society. We are a global semiconductor company, and our advanced technology & chips forms the hidden part of the world we live in today.

When you join ST, you will be part of a global business of more than 115+ nationalities and present in 40 countries, 50,000+, diverse and dedicated creators & makers of technology around the world!

Developing technologies takes more than talent: it takes amazing people who understands collaboration and respect. People with passion and desire to disrupt the status quo, push boundaries and drive innovation – whilst unlocking your own potential.

Working at ST means innovating for a future that we want to make smarter, greener, in a responsible and sustainable way. Our technology starts with you. Join us and start the future!

Looking for an intern to automate specific and key business data collection, through new available AI tools, to improve the overall efficiency in business data management.

The goal of the internship is to design and implement an automated AI based system for easy and effective business data collection (from different sources), analysis and presentation aimed to reduce time and efforts spent on those data analysis and presentations creation.

Main users of the outcomes will be divisional management team.

Profile

Graduate (pre or post) in Data Analytics with good understanding of AI tools and algorithms

Open minded and used to teamwork

Good communication skills

Trustworthy and results oriented

We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, Equity and Inclusion (DEI) is part of our company culture. Our DEI vision is, “At ST, you can be the true version of yourself”, we value all employee contributions and have zero tolerance for any kind of discrimination.

Joining us is also about a greater work-life balance and workplace with equal opportunities. Dedicated Employee Resource Groups for women and LGBTQIA+, hybrid work arrangements are amongst the many DEI & Sustainability initiatives that make us a great place to evolve your career.

To discover more, visit st.com/careers +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3981803841,https://it.linkedin.com/jobs/view/data-business-analyst-at-wehunt-3981803841?position=54&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=%2FVf%2BaIXYQJ10EEs8LGz9FQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data/Business Analyst,WeHunt,"Milan, Lombardy, Italy","Per realtà tech leader nel settore e-commerce di food and beverage, operante da oltre 10 anni ma con un'anima fortemente startupper, siamo alla ricerca di un Data/Business Analyst. La risorsa lavorerà in sinergia con le diverse Business Unit aziendali, creando report continuativi per sostenere e guidare lo sviluppo dell'azienda. + + + + +Responsabilità: + +Interagire con i team operativi aziendali (business, marketing, prodotto, pricing ed operations) e assistere nella guida dell'azienda verso soluzione e supportare la raccolta dei requisiti aziendali e/o funzionali. +Creare e implementare dashboard e report in linea con le linee guida per una comunicazione efficace delle informazioni per gli utenti chiave e finali; +Utilizzare tool di Business Intelligence & SQL per analisi dati, reportistica e supporto ai KPI aziendali. +Verifica e validazione dei modelli di analisi richiesti; +Identificazione dei dati necessari e definizione della logica delle query. +Dettagliare le esigenze di business dal punto di vista funzionale +Redigere documenti di analisi funzionale per le differenti Business Unit dell'azienda. + + + + + + + +Requisiti: + +Competenze analitiche nella lavorazione ed interpretazione dei dati +Esperienza tra i 3 e i 7 anni come Business Analyst/ Data Analyst +Conoscenza di SQL per query e analisi +Conoscenza di tool di BI come Qlik, Power BI, Tableau +Spiccate doti comunicative e capacità di collaborare con diversi team +Rappresenta un plus l’esperienza pregressa nel campo dell’analisi dati/ analisi funzionale in aziende Tech, Digital e/o eCommerce + + + + +More Info: + +Lavoro flessibile con possibilità di smart working su base settimanale +Range Retributivo: RAL compresa tra i 30.000.00 - 45.000.00 euro +Welfare 2.000€ annui +MBO +Sede di Lavoro: Milano + +Show more ","
+ + + + + +
+
+

Per realtà tech leader nel settore e-commerce di food and beverage, operante da oltre 10 anni ma con un'anima fortemente startupper, siamo alla ricerca di un Data/Business Analyst. La risorsa lavorerà in sinergia con le diverse Business Unit aziendali, creando report continuativi per sostenere e guidare lo sviluppo dell'azienda.


Responsabilità:

  • Interagire con i team operativi aziendali (business, marketing, prodotto, pricing ed operations) e assistere nella guida dell'azienda verso soluzione e supportare la raccolta dei requisiti aziendali e/o funzionali.
  • Creare e implementare dashboard e report in linea con le linee guida per una comunicazione efficace delle informazioni per gli utenti chiave e finali;
  • Utilizzare tool di Business Intelligence & SQL per analisi dati, reportistica e supporto ai KPI aziendali.
  • Verifica e validazione dei modelli di analisi richiesti;
  • Identificazione dei dati necessari e definizione della logica delle query.
  • Dettagliare le esigenze di business dal punto di vista funzionale
  • Redigere documenti di analisi funzionale per le differenti Business Unit dell'azienda.



Requisiti:

  • Competenze analitiche nella lavorazione ed interpretazione dei dati
  • Esperienza tra i 3 e i 7 anni come Business Analyst/ Data Analyst
  • Conoscenza di SQL per query e analisi
  • Conoscenza di tool di BI come Qlik, Power BI, Tableau
  • Spiccate doti comunicative e capacità di collaborare con diversi team
  • Rappresenta un plus l’esperienza pregressa nel campo dell’analisi dati/ analisi funzionale in aziende Tech, Digital e/o eCommerce


More Info:

  • Lavoro flessibile con possibilità di smart working su base settimanale
  • Range Retributivo: RAL compresa tra i 30.000.00 - 45.000.00 euro
  • Welfare 2.000€ annui
  • MBO
  • Sede di Lavoro: Milano

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3984428742,https://it.linkedin.com/jobs/view/hr-data-analyst-at-kpmg-italy-3984428742?position=55&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=E1idXa72aR2zIgVvbVmuDA%3D%3D&trk=public_jobs_jserp-result_search-card,HR Data Analyst,KPMG Italy,"Milan, Lombardy, Italy","We believe in the highest standards. After all, the first step in ensuring high-quality services for our clients is to operate internally at the highest levels. KPMG Support professionals have the fundamental task of supporting the daily activities of colleagues in the Business, with dedication and proactivity. + +For the strengthening of our People structure in Milan, we are looking for an HR Data Analyst professional who will be responsible for the following activities: + + +Create, develop, and update reporting systems for the Management; +Support the maintenance of data and oversee the accuracy of information in company systems; +Conduct analyses on the data available in the HR information system; +Contribute to the creation of interactive dashboards focused on personnel analysis to drive the overall human resources strategy; +Support HR processes with data and statistics. + + +To be the ideal candidate, you should possess: + + +Master's degree in economic disciplines; +2-4 years of previous experience in the role; +Excellent knowledge of the Microsoft Office suite; +Good knowledge of the English language; +Passion and enthusiasm for HR issues, curiosity, and proactivity, flexible approach, and respect for deadlines. + + +Are you a problem solver who never loses sight of your goals? Can you build strong relationships and promote collaboration? You might be the person we are looking for! + +KPMG is one of the leading networks of professional services, a leader in audit and accounting, management consulting, and tax, legal, and administrative services. + +Leadership, teamwork, respect for people, continuous learning, transparency, commitment to the community, integrity. These are the values of KPMG that guide the behaviors of the people who work there, representing its identity and way of being, creating an environment open to the exchange of ideas and knowledge that allows our professionals to express their full potential. + +Our role is a prominent one in a context of continuous and rapid change, requiring a set of new skills and abilities to support growth ambitions and the trust the market places in us. + +Driven by passion, we strive every day to promote inclusion and growth, fostering an environment where everyone feels they belong. + +The requested data will be processed in absolute compliance with the provisions of European Regulation 679/2016 (General Data Protection Regulation - ""GDPR"" or ""Privacy Regulation"") and its subsequent amendments and integrations. For more information, please refer to KPMG's Privacy Policy. + +KPMG Business Services ensures equal opportunities. + + +Show more ","
+ + + + + +
+
+ We believe in the highest standards. After all, the first step in ensuring high-quality services for our clients is to operate internally at the highest levels. KPMG Support professionals have the fundamental task of supporting the daily activities of colleagues in the Business, with dedication and proactivity.

For the strengthening of our People structure in Milan, we are looking for an HR Data Analyst professional who will be responsible for the following activities:

  • Create, develop, and update reporting systems for the Management;
  • Support the maintenance of data and oversee the accuracy of information in company systems;
  • Conduct analyses on the data available in the HR information system;
  • Contribute to the creation of interactive dashboards focused on personnel analysis to drive the overall human resources strategy;
  • Support HR processes with data and statistics.

To be the ideal candidate, you should possess:

  • Master's degree in economic disciplines;
  • 2-4 years of previous experience in the role;
  • Excellent knowledge of the Microsoft Office suite;
  • Good knowledge of the English language;
  • Passion and enthusiasm for HR issues, curiosity, and proactivity, flexible approach, and respect for deadlines.

Are you a problem solver who never loses sight of your goals? Can you build strong relationships and promote collaboration? You might be the person we are looking for!

KPMG is one of the leading networks of professional services, a leader in audit and accounting, management consulting, and tax, legal, and administrative services.

Leadership, teamwork, respect for people, continuous learning, transparency, commitment to the community, integrity. These are the values of KPMG that guide the behaviors of the people who work there, representing its identity and way of being, creating an environment open to the exchange of ideas and knowledge that allows our professionals to express their full potential.

Our role is a prominent one in a context of continuous and rapid change, requiring a set of new skills and abilities to support growth ambitions and the trust the market places in us.

Driven by passion, we strive every day to promote inclusion and growth, fostering an environment where everyone feels they belong.

The requested data will be processed in absolute compliance with the provisions of European Regulation 679/2016 (General Data Protection Regulation - ""GDPR"" or ""Privacy Regulation"") and its subsequent amendments and integrations. For more information, please refer to KPMG's Privacy Policy.

KPMG Business Services ensures equal opportunities.

 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-20,[] +3998152152,https://it.linkedin.com/jobs/view/data-analyst-at-gielle-informatica-recruiting-3998152152?position=56&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=Ow%2FCXqK4YsKPcvj2BilcYw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Gielle Informatica Recruiting,"Melzo, Lombardy, Italy","Gielle Informatica srl, società di consulenza informatica da oltre 40 anni. + +La Nostra Divisione Recruiting, Che Vanta Una Lunga Esperienza Nella Ricerca e Nella Selezione Di Personale ICT, è Alla Ricerca Di Una o Più Figure Corrispondenti Alla Seguente Richiesta + +Data Analyst + +Sede di lavoro: Remoto + +Per il presente annuncio, sono graditi cv in italiano e in formato word. Una fotografia allegata al curriculum rende lo stesso più completo, sia per noi che per il cliente finale. + +Requisiti + + +Tabular, PowerBI (fous sulla parte di Back End di PowerBI), BigQuery, DAG Airflow +4 anni di esperienza + + +Trattamento Economico Possibile + + +Partita IVA, con tariffa giornaliera commisurata alle competenze e seniority del candidato. + + +La durata del contratto sarà allineata a quella del progetto. + +Riferimento: ANN283331 + +Si ricorda che, a norma del D. Lgs. 196/03 e art. 13 Regolamento Europeo 679/2016 (“GDPR”), è necessario fornire il consenso al trattamento dei dati personali. + + + + + +
+
+ Gielle Informatica srl, società di consulenza informatica da oltre 40 anni.

La Nostra Divisione Recruiting, Che Vanta Una Lunga Esperienza Nella Ricerca e Nella Selezione Di Personale ICT, è Alla Ricerca Di Una o Più Figure Corrispondenti Alla Seguente Richiesta

Data Analyst

Sede di lavoro: Remoto

Per il presente annuncio, sono graditi cv in italiano e in formato word. Una fotografia allegata al curriculum rende lo stesso più completo, sia per noi che per il cliente finale.

Requisiti

  • Tabular, PowerBI (fous sulla parte di Back End di PowerBI), BigQuery, DAG Airflow
  • 4 anni di esperienza

Trattamento Economico Possibile

  • Partita IVA, con tariffa giornaliera commisurata alle competenze e seniority del candidato.

La durata del contratto sarà allineata a quella del progetto.

Riferimento: ANN283331

Si ricorda che, a norma del D. Lgs. 196/03 e art. 13 Regolamento Europeo 679/2016 (“GDPR”), è necessario fornire il consenso al trattamento dei dati personali.<span style=""--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --t +
+ + + + + + + + + + + + + + + + + + +
+ + ",2024-08-10,[] +3982852997,https://it.linkedin.com/jobs/view/data-market-analysis-intern-at-circana-3982852997?position=59&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=2NvNcCyAjyiDv6%2FDHct04g%3D%3D&trk=public_jobs_jserp-result_search-card,Data Market Analysis Intern,Circana,"Milan, Lombardy, Italy","Stage Delivery + +Let’s be unstoppable together! + +Circana (ex IRI e NPD) è il consulente leader nella gestione della complessità del comportamento dei consumatori. Grazie all’utilizzo di una tecnologia impareggiabile, analisi avanzate, dati cross-industry e a una profonda esperienza nel settore, forniamo quella chiarezza che aiuta quasi 7.000 marchi e rivenditori leader a livello globale ad agire e a incentivare la crescita del business. In Circana ci alimenta la passione per continuare a imparare e crescere, cerchiamo e condividiamo liberamente i feedback e festeggiamo le vittorie grandi e piccole in un ambiente flessibile e attento alle nostre esigenze lavorative e personali. Unisciti al nostro team inclusivo e impegnato ad affrontare sfide e cambiamenti con l’obiettivo di contribuire ai risultati e per sostenere insieme la nostra curiosità. Per saperne di più accedi a www.circana.com  + +Responsabilità + +Analisi e progetti basati su modelli econometrici e previsionali che supportano i nostri clienti nella valutazione dell’impatto dellle leve del marketing mix sulle vendite di un particolare prodotto/marca, nella definizione della strategia assortimentale da utilizzare con ciascun distributore, nella misurazione delle performance delle attività in store e nelle analisi predittive per pianificare azioni commerciali e massimizzare la performance di prodotto. Il tirocinante affiancherà il tutor aziendale prevalmentemente su attività di analisi quantitativa e di set up delle analisi nell’ambito dei progetti assegnati. + +Competenze richieste + +Laurea in statistica o in economia/matematica con propensione all'utilizzo di modelli statistici + +Conoscenza del Pacchetto Office (Power Point ed Excel a livello avanzato) + +Conoscenza di Software per estrazione dati da sistemi aziendali e per l'analisi statistica (ACCESS, SAS, SPSS) + +Buona conoscenza della lingua inglese + +La nostra offerta lavorativa + +Stage di 6 mesi. E previsto un rimborso spese mensile di EUR 800 + +Formazione in aula e on-the-job + +Possibilità di lavorare in un contesto strutturato e multinazionale + +Esperienza nel settore delle ricerche di mercato in una delle aziende leader del settore di riferimento + +Location: La posizione è prevista presso la sede di Milano. + + +Show more ","
+ + + + + +
+
+ Stage Delivery

Let’s be unstoppable together!

Circana (ex IRI e NPD) è il consulente leader nella gestione della complessità del comportamento dei consumatori. Grazie all’utilizzo di una tecnologia impareggiabile, analisi avanzate, dati cross-industry e a una profonda esperienza nel settore, forniamo quella chiarezza che aiuta quasi 7.000 marchi e rivenditori leader a livello globale ad agire e a incentivare la crescita del business. In Circana ci alimenta la passione per continuare a imparare e crescere, cerchiamo e condividiamo liberamente i feedback e festeggiamo le vittorie grandi e piccole in un ambiente flessibile e attento alle nostre esigenze lavorative e personali. Unisciti al nostro team inclusivo e impegnato ad affrontare sfide e cambiamenti con l’obiettivo di contribuire ai risultati e per sostenere insieme la nostra curiosità. Per saperne di più accedi a www.circana.com 

Responsabilità

Analisi e progetti basati su modelli econometrici e previsionali che supportano i nostri clienti nella valutazione dell’impatto dellle leve del marketing mix sulle vendite di un particolare prodotto/marca, nella definizione della strategia assortimentale da utilizzare con ciascun distributore, nella misurazione delle performance delle attività in store e nelle analisi predittive per pianificare azioni commerciali e massimizzare la performance di prodotto. Il tirocinante affiancherà il tutor aziendale prevalmentemente su attività di analisi quantitativa e di set up delle analisi nell’ambito dei progetti assegnati.

Competenze richieste

Laurea in statistica o in economia/matematica con propensione all'utilizzo di modelli statistici

Conoscenza del Pacchetto Office (Power Point ed Excel a livello avanzato)

Conoscenza di Software per estrazione dati da sistemi aziendali e per l'analisi statistica (ACCESS, SAS, SPSS)

Buona conoscenza della lingua inglese

La nostra offerta lavorativa

Stage di 6 mesi. E previsto un rimborso spese mensile di EUR 800

Formazione in aula e on-the-job

Possibilità di lavorare in un contesto strutturato e multinazionale

Esperienza nel settore delle ricerche di mercato in una delle aziende leader del settore di riferimento

Location: La posizione è prevista presso la sede di Milano.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-15,[] +3986114640,https://it.linkedin.com/jobs/view/data-analyst-data-engineer-internship-at-e-novia-3986114640?position=60&pageNum=0&refId=Q2iHikU6SEo9ryZrxzAy7w%3D%3D&trackingId=LKI%2FbbjMzezGiz2CnmE4AA%3D%3D&trk=public_jobs_jserp-result_search-card,DATA ANALYST - DATA ENGINEER INTERNSHIP,e-Novia,"Arese, Lombardy, Italy","Blimp: digital perception of reality + +Con le nostre tecnologie proprietarie abbiamo portato le metriche digitali nel mondo reale. + +Il nostro sistema -100% privacy compliant- rileva flussi di persone e veicoli negli spazi fisici, grazie alle tecnologie AI di computer vision. + +Blimp è parte del gruppo e-Novia Spa, composto da circa 100 talenti politecnici, in grado di sfruttare le loro competenze tecniche e le capacità imprenditoriali per creare e implementare idee dirompenti. + + +https://blimp.ai/ +https://e-novia.it/ + + + +Per far fronte al numero crescente di clienti -abbiamo superato le 3000 installazioni ! e per rendere il nostro servizio ancora più di successo, stiamo cercando un giovane professionista appassionato e concentrato che si unisca al team Data Engineer & Analysis come: + +DATA ANALYST - DATA ENGINEER INTERNSHIP + +La persona che stiamo cercando si occuperà di: + + +Effettuare le verifiche per certificare la qualità e la significatività del dato misurato dagli headcounter; +Utilizzare tool per l'estrazione dei dati da db SQL/NoSQL; +Preparazione dei report per il pubblico (report mobilità), per i clienti o per uso interno; +Uso (e a tendere anche la definizione/progettazione) di tool per identificare, analizzare e interpretare i pattern e trend di data set complessi per identificare anomalie e missing data + + + +MUST HAVE + + +Conoscenza di almeno uno dei principali linguaggi di programmazione per l’implementazione di soluzioni di advanced analytics (Python, C#); +Familiarità con programmazione orientata agli oggetti; +Conoscenza DB relazionali SQL-based; +Buona conoscenza di Microsoft Office; +Conoscenza della lingua Inglese + + + +NICE TO HAVE + + +Pregressa esperienza in ambito data analytics e/o data engineering +Conoscenza di tools di data visualization (PowerBi, KNIME, TABLEAU) +Esperienza di analisi dati con alta dipendenza spazio-temporale (serie storiche, dati geolocalizzati) +Competenze utilizzo linux +Conoscenza DB non-relazionali + + + +COSA COMPRENDE L'OFFERTA + + +Ottima opportunità di crescita tecnica e professionale in un contesto dinamico e stimolante. +Mensa +Sede di lavoro: Arese / work from home + + + +Blimp è un datore di lavoro per le pari opportunità: questo annuncio di lavoro è aperto ad entrambi i generi in conformità al decreto legislativo italiano n. 198/2006. +Show more ","
+ + + + + +
+
+ Blimp: digital perception of reality

Con le nostre tecnologie proprietarie abbiamo portato le metriche digitali nel mondo reale.

Il nostro sistema -100% privacy compliant- rileva flussi di persone e veicoli negli spazi fisici, grazie alle tecnologie AI di computer vision.

Blimp è parte del gruppo e-Novia Spa, composto da circa 100 talenti politecnici, in grado di sfruttare le loro competenze tecniche e le capacità imprenditoriali per creare e implementare idee dirompenti.

  • https://blimp.ai/
  • https://e-novia.it/


Per far fronte al numero crescente di clienti -abbiamo superato le 3000 installazioni ! e per rendere il nostro servizio ancora più di successo, stiamo cercando un giovane professionista appassionato e concentrato che si unisca al team Data Engineer & Analysis come:

DATA ANALYST - DATA ENGINEER INTERNSHIP

La persona che stiamo cercando si occuperà di:

  • Effettuare le verifiche per certificare la qualità e la significatività del dato misurato dagli headcounter;
  • Utilizzare tool per l'estrazione dei dati da db SQL/NoSQL;
  • Preparazione dei report per il pubblico (report mobilità), per i clienti o per uso interno;
  • Uso (e a tendere anche la definizione/progettazione) di tool per identificare, analizzare e interpretare i pattern e trend di data set complessi per identificare anomalie e missing data


MUST HAVE

  • Conoscenza di almeno uno dei principali linguaggi di programmazione per l’implementazione di soluzioni di advanced analytics (Python, C#);
  • Familiarità con programmazione orientata agli oggetti;
  • Conoscenza DB relazionali SQL-based;
  • Buona conoscenza di Microsoft Office;
  • Conoscenza della lingua Inglese


NICE TO HAVE

  • Pregressa esperienza in ambito data analytics e/o data engineering
  • Conoscenza di tools di data visualization (PowerBi, KNIME, TABLEAU)
  • Esperienza di analisi dati con alta dipendenza spazio-temporale (serie storiche, dati geolocalizzati)
  • Competenze utilizzo linux
  • Conoscenza DB non-relazionali


COSA COMPRENDE L'OFFERTA

  • Ottima opportunità di crescita tecnica e professionale in un contesto dinamico e stimolante.
  • Mensa
  • Sede di lavoro: Arese / work from home


Blimp è un datore di lavoro per le pari opportunità: questo annuncio di lavoro è aperto ad entrambi i generi in conformità al decreto legislativo italiano n. 198/2006. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +3954874557,https://it.linkedin.com/jobs/view/data-quality-analyst-at-sennder-3954874557?position=1&pageNum=2&refId=w%2FoowoamPds7%2Fqf81HyALw%3D%3D&trackingId=GLhwYEsE2zhQYWe5fkdQKQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Quality Analyst,sennder,"Milan, Lombardy, Italy","Data Quality Analyst (fixed-term contract) + +sennder is Europe’s leading digital freight forwarder. In a traditional industry, we are moving fast to digitize and automate all road logistics processes. We are a growing team looking for a Data Quality Analyst to help us on our journey to revolutionise road freight logistics. You would join our “Operations Program & Innovation” department, based out of the Milan office and will report to the Team Lead Ops. Quality. + +We value humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives our innovation and we offer a collaborative, dynamic and international work environment. Just be yourself. We are excited to meet you and for you to join us in shaping the future of the logistics industry in Europe. + +What You Will Do … + +As a Data Quality Analyst you’ll work on interesting responsibilities like supporting the Operations Programs & Innovation department and specifically the Network Quality Team by analyzing and identifying logistic network inefficiencies, managing carriers delays and penalties. + + +Ensure compliance with service quality KPIs by monitoring and supporting continuous performance improvement. +Work together with carriers to reduce the impact of low performances through bonus/malus mechanisms. +Analyze operational issues by identifying their root causes and proposing corrective actions through daily KPIs monitoring (e.g., on-time performance, incidents). +Build supplier performance reports in order to create presentations useful to management. +Support the definition of processes with the aim of identifying best practices and improving performance. +Work closely with Operations and Program Management teams to improve our quality metrics. +Develop and maintain relationships with key internal and external stakeholders. + + +What We Are Looking For … + + +Bachelor's degree in economics, statistics, engineering, or equivalent work experience. +Excellent verbal and written communication skills in both Italian and English. +Proficiency in G-Suite and MS Office (Excel & PowerPoint); essential proficiency in SQL. +Strong analytical skills to conduct analyses and translate them into actionable insights. +Proactive, self-starter with excellent organizational skills. +Strong interpersonal skills and adaptive mindset with the ability to learn quickly. +Strong team player with a collaborative attitude. + + +ABOUT Sennder Italia + +sennder Italia, based in the heart of Milan, is a joint venture company between sennder and Poste Italiane. Our company matches the digital and innovative focus on technologies and digitalization of sennder with the expertise and know-how of the largest distribution network in Italy, Poste Italiane. + +We not only connect shippers to our fleet of thousands of trucks, but also improve how they move products in sustainable, cost-efficient, and transparent ways - making the logistics industry fit for the future. In a traditional industry, we’re growing and moving fast to digitally automate all road logistics processes. + +We are building a curious team that is driven by an ambitious desire to solve the toughest logistics puzzles. What others may consider uncertainty, we see as an opportunity to learn and be proactive. We invite you to go on this journey with us and be part of one of Europe’s inspiring growth stories as we fast-forward road logistics into digitalization. Read more about the sennder Italia joint venture here. + +What You Can Expect + +At sennder, we want to maximize the individual potential of all employees and reinforce an inclusive culture and environment of continuous learning that empowers people to succeed as a team. In addition to humility, we value commitment, team spirit and respect to build fruitful collaboration across teams. Learn more about who we are on our career site. + + +Fast growth scale-up with an international team of 1000 people, 74+ nationalities spread across 11 European offices. With English as our common language, we are able to work together. +Learning and development on the job and with the support of a bi-annual review process, learning allowance, high potential programs, sennder onboarding academy, and internal trainings. +Various opportunities to connect with colleagues through regular team events and company get-togethers such as our highly anticipated sennder Summer Camp. +Prioritize employee engagement and mental well-being by fostering a supportive environment through the Likeminded platform and conducting regular employee satisfaction surveys. +Hybrid work model where you seamlessly merge virtual productivity and in-office collaboration with your colleagues. +Commuter allowance to assist employees with their daily travel expenses and a one-time home office benefit to ensure that you're properly equipped wherever you work. +Competitive compensation package including objective-based bonus, referral reward, and in some cases virtual option plan. +For the Milan office we offer: free on-site gym! +Vibrant offices complete with healthy snacks, focus zones, and social areas to connect with your colleagues. Click [here] for a virtual tour and better yet, hope to see you soon! + + +We value humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives our innovation and we offer a collaborative, dynamic, and international work environment. Just be yourself. We are excited to meet you and for you to join us in shaping the future of the logistics industry in Europe. + +If you have any questions or need special accommodation please reach out to us at ta@sennder.com. As soon as you apply your journey with sennder begins. +Show more ","
+ + + + + +
+
+ Data Quality Analyst (fixed-term contract)

sennder is Europe’s leading digital freight forwarder. In a traditional industry, we are moving fast to digitize and automate all road logistics processes. We are a growing team looking for a Data Quality Analyst to help us on our journey to revolutionise road freight logistics. You would join our “Operations Program & Innovation” department, based out of the Milan office and will report to the Team Lead Ops. Quality.

We value humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives our innovation and we offer a collaborative, dynamic and international work environment. Just be yourself. We are excited to meet you and for you to join us in shaping the future of the logistics industry in Europe.

What You Will Do …

As a Data Quality Analyst you’ll work on interesting responsibilities like supporting the Operations Programs & Innovation department and specifically the Network Quality Team by analyzing and identifying logistic network inefficiencies, managing carriers delays and penalties.

  • Ensure compliance with service quality KPIs by monitoring and supporting continuous performance improvement.
  • Work together with carriers to reduce the impact of low performances through bonus/malus mechanisms.
  • Analyze operational issues by identifying their root causes and proposing corrective actions through daily KPIs monitoring (e.g., on-time performance, incidents).
  • Build supplier performance reports in order to create presentations useful to management.
  • Support the definition of processes with the aim of identifying best practices and improving performance.
  • Work closely with Operations and Program Management teams to improve our quality metrics.
  • Develop and maintain relationships with key internal and external stakeholders.

What We Are Looking For …

  • Bachelor's degree in economics, statistics, engineering, or equivalent work experience.
  • Excellent verbal and written communication skills in both Italian and English.
  • Proficiency in G-Suite and MS Office (Excel & PowerPoint); essential proficiency in SQL.
  • Strong analytical skills to conduct analyses and translate them into actionable insights.
  • Proactive, self-starter with excellent organizational skills.
  • Strong interpersonal skills and adaptive mindset with the ability to learn quickly.
  • Strong team player with a collaborative attitude.

ABOUT Sennder Italia

sennder Italia, based in the heart of Milan, is a joint venture company between sennder and Poste Italiane. Our company matches the digital and innovative focus on technologies and digitalization of sennder with the expertise and know-how of the largest distribution network in Italy, Poste Italiane.

We not only connect shippers to our fleet of thousands of trucks, but also improve how they move products in sustainable, cost-efficient, and transparent ways - making the logistics industry fit for the future. In a traditional industry, we’re growing and moving fast to digitally automate all road logistics processes.

We are building a curious team that is driven by an ambitious desire to solve the toughest logistics puzzles. What others may consider uncertainty, we see as an opportunity to learn and be proactive. We invite you to go on this journey with us and be part of one of Europe’s inspiring growth stories as we fast-forward road logistics into digitalization. Read more about the sennder Italia joint venture here.

What You Can Expect

At sennder, we want to maximize the individual potential of all employees and reinforce an inclusive culture and environment of continuous learning that empowers people to succeed as a team. In addition to humility, we value commitment, team spirit and respect to build fruitful collaboration across teams. Learn more about who we are on our career site.

  • Fast growth scale-up with an international team of 1000 people, 74+ nationalities spread across 11 European offices. With English as our common language, we are able to work together.
  • Learning and development on the job and with the support of a bi-annual review process, learning allowance, high potential programs, sennder onboarding academy, and internal trainings.
  • Various opportunities to connect with colleagues through regular team events and company get-togethers such as our highly anticipated sennder Summer Camp.
  • Prioritize employee engagement and mental well-being by fostering a supportive environment through the Likeminded platform and conducting regular employee satisfaction surveys.
  • Hybrid work model where you seamlessly merge virtual productivity and in-office collaboration with your colleagues.
  • Commuter allowance to assist employees with their daily travel expenses and a one-time home office benefit to ensure that you're properly equipped wherever you work.
  • Competitive compensation package including objective-based bonus, referral reward, and in some cases virtual option plan.
  • For the Milan office we offer: free on-site gym!
  • Vibrant offices complete with healthy snacks, focus zones, and social areas to connect with your colleagues. Click [here] for a virtual tour and better yet, hope to see you soon!

We value humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives our innovation and we offer a collaborative, dynamic, and international work environment. Just be yourself. We are excited to meet you and for you to join us in shaping the future of the logistics industry in Europe.

If you have any questions or need special accommodation please reach out to us at ta@sennder.com. As soon as you apply your journey with sennder begins. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-20,[] +3973970762,https://it.linkedin.com/jobs/view/supply-data-analyst-internship-at-ogury-3973970762?position=2&pageNum=2&refId=w%2FoowoamPds7%2Fqf81HyALw%3D%3D&trackingId=MaRX7MBrKomAmaIglWBupg%3D%3D&trk=public_jobs_jserp-result_search-card,Supply Data Analyst - Internship,Ogury,"Milan, Lombardy, Italy","Ogury is a global adtech company that delivers Personified Advertising solutions grounded in privacy to brands, agencies and publishers by focusing on targeting personas, not people. + +We deliver relevant audiences at scale and on quality publisher inventory thanks to our exclusive data, which is meticulously collected and crafted from millions of self-declared customer surveys, enriched with billions of impactful data points, and refined by AI. This results in audience insights and performance not available through any other AdTech platform. + +Founded in 2014, Ogury is a global organization with a diverse team of 500+ people across 17 countries. + +At Ogury, our vision unites us all. But we know that it takes people from all walks of life to come together and make it happen. We embrace and celebrate what makes us different, creating a unique and winning culture where everyone feels safe, has access to the same opportunities, and is excited about bringing their most authentic self to work. Everyday. + +Together we’re changing the face of adtech with values that inspire excellence, standards that encourage a leadership mindset, and an inclusive workplace where Ogurians are engaged and know they belong. + +About The Role + +Ogury is seeking a highly motivated Supply Data Analyst Intern to help our efforts towards data analysis. The intern will assist in collecting, processing, and analyzing data to support our business decisions and strategic initiatives. This internship offers an excellent opportunity to gain hands-on experience in data analysis and work within a dynamic and innovative tech environment. + +What You Will Do + + +Data Collection and Cleaning: Assist in gathering data from multiple sources, including internal databases, spreadsheets, and third-party data systems. Perform data cleaning and preprocessing to ensure data integrity and accuracy. Help maintain data quality and support data management activities. +Data Analysis: Conduct basic statistical analyses and generate reports to identify trends and patterns. Support senior analysts with more complex data analysis tasks. Utilize tools such as Excel, SQL for data manipulation and analysis. +Reporting and Visualization: Create data visualizations, dashboards, and reports using Metabase as the main tool. Present analytical findings to team members and stakeholders in a clear and concise manner. +Support and Collaboration: Collaborate with cross-functional teams to understand their data needs and provide analytical support. Assist in developing and implementing data collection systems and strategies to optimize data efficiency and quality. +Learning and Development: Stay current with industry trends, tools, and techniques in data analysis. Participate in training sessions and workshops to enhance analytical skills and knowledge. + + +About You + + +Currently pursuing a Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field. +Familiarity with Microsoft Excel; knowledge of SQL and data visualization tools such as Metabase is a plus. +Basic understanding of statistical methods and data analysis techniques. +Strong analytical and problem-solving skills. +Excellent attention to detail and organizational skills.Good communication skills, both written and verbal. +Ability to work collaboratively in a team environment and manage multiple tasks simultaneously. +Preferred Qualifications: +Experience with programming languages such as Python. +Understanding of data warehousing concepts and tools. +Experience with big data tools and technologies. + + +Show more ","
+ + + + + +
+
+ Ogury is a global adtech company that delivers Personified Advertising solutions grounded in privacy to brands, agencies and publishers by focusing on targeting personas, not people.

We deliver relevant audiences at scale and on quality publisher inventory thanks to our exclusive data, which is meticulously collected and crafted from millions of self-declared customer surveys, enriched with billions of impactful data points, and refined by AI. This results in audience insights and performance not available through any other AdTech platform.

Founded in 2014, Ogury is a global organization with a diverse team of 500+ people across 17 countries.

At Ogury, our vision unites us all. But we know that it takes people from all walks of life to come together and make it happen. We embrace and celebrate what makes us different, creating a unique and winning culture where everyone feels safe, has access to the same opportunities, and is excited about bringing their most authentic self to work. Everyday.

Together we’re changing the face of adtech with values that inspire excellence, standards that encourage a leadership mindset, and an inclusive workplace where Ogurians are engaged and know they belong.

About The Role

Ogury is seeking a highly motivated Supply Data Analyst Intern to help our efforts towards data analysis. The intern will assist in collecting, processing, and analyzing data to support our business decisions and strategic initiatives. This internship offers an excellent opportunity to gain hands-on experience in data analysis and work within a dynamic and innovative tech environment.

What You Will Do

  • Data Collection and Cleaning: Assist in gathering data from multiple sources, including internal databases, spreadsheets, and third-party data systems. Perform data cleaning and preprocessing to ensure data integrity and accuracy. Help maintain data quality and support data management activities.
  • Data Analysis: Conduct basic statistical analyses and generate reports to identify trends and patterns. Support senior analysts with more complex data analysis tasks. Utilize tools such as Excel, SQL for data manipulation and analysis.
  • Reporting and Visualization: Create data visualizations, dashboards, and reports using Metabase as the main tool. Present analytical findings to team members and stakeholders in a clear and concise manner.
  • Support and Collaboration: Collaborate with cross-functional teams to understand their data needs and provide analytical support. Assist in developing and implementing data collection systems and strategies to optimize data efficiency and quality.
  • Learning and Development: Stay current with industry trends, tools, and techniques in data analysis. Participate in training sessions and workshops to enhance analytical skills and knowledge.

About You

  • Currently pursuing a Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Familiarity with Microsoft Excel; knowledge of SQL and data visualization tools such as Metabase is a plus.
  • Basic understanding of statistical methods and data analysis techniques.
  • Strong analytical and problem-solving skills.
  • Excellent attention to detail and organizational skills.Good communication skills, both written and verbal.
  • Ability to work collaboratively in a team environment and manage multiple tasks simultaneously.
  • Preferred Qualifications:
  • Experience with programming languages such as Python.
  • Understanding of data warehousing concepts and tools.
  • Experience with big data tools and technologies.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3997219882,https://it.linkedin.com/jobs/view/junior-data-analyst-scientist-at-skill-farm-3997219882?position=4&pageNum=2&refId=w%2FoowoamPds7%2Fqf81HyALw%3D%3D&trackingId=8vWwJD7NxRNMIeG4cL4WVw%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Analyst/Scientist,Skill Farm,"Milan, Lombardy, Italy","Skill Farm Members Are Invited to Apply for the Following Role: + +Scopo e Attivitˆ + +Nell'ambito del perimetro della Direzione Data & Artificial Intelligence Office struttura all'interno dell'area di Governo Chief Data, A.I, and Technology Officer , siamo alla ricerca di un Junior Data Scientist che si occupi di sviluppo di soluzioni di Data Science e Artificial Intelligence in collaborazione con diverse aree aziendali al fine di migliroare le prestazioni commerciali e operative. + +Nel ruolo di Data Scientist, svilupperai nuovi modelli predittivi, monitorerai e migliorerai le prestazioni di quelli esistenti. + +Ti occuperai di: + +Collaborare con colleghi di diverse business unit. + +Ricercare ed esplorare diverse fonti dato per identificare quelle pi� adatte. + +Analizzare i dati, valutare la loro qualitˆ e scoprire i pattern nascosti. + +Eseguire un'appropriata feature engineering + +Ricercare e sperimentare vari modelli addestrandoli sui dati disponibili. + +Lavorare in team eterogenei composti da analtOyst, scientist, engineer e esperti di business. + +Gestire simultaneamente differenti attivitˆ. + +Collaborare con il team di Data Engineer per portare in produzione soluzioni prototipali. + +Esperienza Richiesta + +Fino a 2 anni di esperienza in ruoli analoghi. +Show more ","
+ + + + + +
+
+ Skill Farm Members Are Invited to Apply for the Following Role:

Scopo e Attivitˆ

Nell'ambito del perimetro della Direzione Data & Artificial Intelligence Office struttura all'interno dell'area di Governo Chief Data, A.I, and Technology Officer , siamo alla ricerca di un Junior Data Scientist che si occupi di sviluppo di soluzioni di Data Science e Artificial Intelligence in collaborazione con diverse aree aziendali al fine di migliroare le prestazioni commerciali e operative.

Nel ruolo di Data Scientist, svilupperai nuovi modelli predittivi, monitorerai e migliorerai le prestazioni di quelli esistenti.

Ti occuperai di:

Collaborare con colleghi di diverse business unit.

Ricercare ed esplorare diverse fonti dato per identificare quelle pi� adatte.

Analizzare i dati, valutare la loro qualitˆ e scoprire i pattern nascosti.

Eseguire un'appropriata feature engineering

Ricercare e sperimentare vari modelli addestrandoli sui dati disponibili.

Lavorare in team eterogenei composti da analtOyst, scientist, engineer e esperti di business.

Gestire simultaneamente differenti attivitˆ.

Collaborare con il team di Data Engineer per portare in produzione soluzioni prototipali.

Esperienza Richiesta

Fino a 2 anni di esperienza in ruoli analoghi. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-09,[] +3985516021,https://it.linkedin.com/jobs/view/junior-%E2%80%93-artificial-intelligence-and-data-%E2%80%93-roma-milano-napoli-consulting-at-deloitte-3985516021?position=5&pageNum=2&refId=w%2FoowoamPds7%2Fqf81HyALw%3D%3D&trackingId=DvKnGmPouxeC6n%2FBKXj1QA%3D%3D&trk=public_jobs_jserp-result_search-card,"Junior – Artificial Intelligence and Data – Roma, Milano, Napoli - Consulting",Deloitte,"Milan, Lombardy, Italy","Stiamo cercando una figura junior da inserire nel team di Artificial Intelligence and Data di Deloitte Consulting nelle sedi di Roma/Milano/Napoli, che lavorerà in modalità Hybrid. + +Nel Team di Artificial Intelligence & Data avrai l’occasione di aiutare, in ambito Analytics, le aziende a valorizzare i dati provenienti da fonti eterogenee trasformandoli in informazioni accurate e immediatamente utilizzabili, elementi indispensabili per quelle aziende che vogliono fare decision-making fact-driven. La Offering Artificial Intelligence & Data è pertanto l’opzione best in class nell’individuazione, progettazione e implementazione di soluzioni di Advanced Analytics, Machine Learning, Data Visualization, Big Data Management, con un approccio agnostico dal punto di vista tecnologico. + +Your Role + +La risorsa Junior sarà inserita in un team di lavoro, affiancando colleghi senior e occupandosi di: + + +Interpretare proattivamente i bisogni del cliente, individuando metodologie e approcci coerenti +Sviluppare iniziative e soluzioni in modo indipendente, raccogliendo ed analizzando dati a supporto dell’elaborazione di soluzioni per i clienti +Elaborare teaser e presentazioni per supportare il top management +Individuare potenziali rischi e criticità e condividerli tempestivamente con il resto del team +Collaborare efficacemente in team eterogenei ed internazionali + + +Winning Requirements + + +Brillante percorso accademico con laurea specialistica in materie STEM +Familiarità con la modellazione e linguaggio di interrogazione dei data base; conoscenza di uno o più linguaggi di accesso al dato e programmazione (Python, R, Java, SQL); ottima conoscenza degli applicativi MS Word, MS Excel e MS Power Point; nozioni accademiche di modelli statistici per l’analisi dei dati +Forte propensione/interesse per le nuove tecnologie e per l’informatica +Elevata attitudine a lavorare sia autonomamente che in team, capacità analitiche e di problem solving, gestione dello stress, flessibilità, precisione e uno spiccato orientamento al raggiungimento dei risultati +Ottima conoscenza della lingua inglese; disponibilità a lavorare in trasferta, anche all’estero + + +Make An Impact That Matters + +Deloitte è un network leader nei servizi professionali alle imprese, presente in oltre 150 Paesi con 457 mila professionisti. Offriamo soluzioni innovative e sostenibili in Audit & Assurance, Consulting, Financial Advisory, Risk Advisory, Tax e Legal. Il nostro obiettivo è supportare le aziende nello sviluppo e nell'implementazione di strategie al passo con il mercato. + +In Deloitte la sostenibilità è un tema centrale. Per questo, attraverso le strategie e le progettualità legate alle tematiche Environmental, Social e Governance (ESG), ci impegniamo a promuovere una crescita responsabile, sostenibile e inclusiva per il Pianeta, le nostre persone e la società. Scopri di più sulle nostre strategie di Corporate Sustainability, tra cui Well-being, la strategia volta a migliorare il benessere fisico, mentale e sociale delle nostre persone, affinché siano felici e piene di energia in tutti gli ambiti della loro vita e WorldClimate, la strategia globale di Deloitte per diventare un’organizzazione Net Zero e per guidare scelte responsabili all’interno e all’esterno dell’organizzazione. + +Sei pront* a #MakeAnImpactThatMatter insieme? Candidati ora! + +Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del dlgs. 196/2003. La ricerca rispetta il d.lgs. 198/2006, il D.lgs. 215/03 e il D.lgs. 216/03 ed è aperta a candidat* di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. +Show more ","
+ + + + + +
+
+ Stiamo cercando una figura junior da inserire nel team di Artificial Intelligence and Data di Deloitte Consulting nelle sedi di Roma/Milano/Napoli, che lavorerà in modalità Hybrid.

Nel Team di Artificial Intelligence & Data avrai l’occasione di aiutare, in ambito Analytics, le aziende a valorizzare i dati provenienti da fonti eterogenee trasformandoli in informazioni accurate e immediatamente utilizzabili, elementi indispensabili per quelle aziende che vogliono fare decision-making fact-driven. La Offering Artificial Intelligence & Data è pertanto l’opzione best in class nell’individuazione, progettazione e implementazione di soluzioni di Advanced Analytics, Machine Learning, Data Visualization, Big Data Management, con un approccio agnostico dal punto di vista tecnologico.

Your Role

La risorsa Junior sarà inserita in un team di lavoro, affiancando colleghi senior e occupandosi di:

  • Interpretare proattivamente i bisogni del cliente, individuando metodologie e approcci coerenti
  • Sviluppare iniziative e soluzioni in modo indipendente, raccogliendo ed analizzando dati a supporto dell’elaborazione di soluzioni per i clienti
  • Elaborare teaser e presentazioni per supportare il top management
  • Individuare potenziali rischi e criticità e condividerli tempestivamente con il resto del team
  • Collaborare efficacemente in team eterogenei ed internazionali

Winning Requirements

  • Brillante percorso accademico con laurea specialistica in materie STEM
  • Familiarità con la modellazione e linguaggio di interrogazione dei data base; conoscenza di uno o più linguaggi di accesso al dato e programmazione (Python, R, Java, SQL); ottima conoscenza degli applicativi MS Word, MS Excel e MS Power Point; nozioni accademiche di modelli statistici per l’analisi dei dati
  • Forte propensione/interesse per le nuove tecnologie e per l’informatica
  • Elevata attitudine a lavorare sia autonomamente che in team, capacità analitiche e di problem solving, gestione dello stress, flessibilità, precisione e uno spiccato orientamento al raggiungimento dei risultati
  • Ottima conoscenza della lingua inglese; disponibilità a lavorare in trasferta, anche all’estero

Make An Impact That Matters

Deloitte è un network leader nei servizi professionali alle imprese, presente in oltre 150 Paesi con 457 mila professionisti. Offriamo soluzioni innovative e sostenibili in Audit & Assurance, Consulting, Financial Advisory, Risk Advisory, Tax e Legal. Il nostro obiettivo è supportare le aziende nello sviluppo e nell'implementazione di strategie al passo con il mercato.

In Deloitte la sostenibilità è un tema centrale. Per questo, attraverso le strategie e le progettualità legate alle tematiche Environmental, Social e Governance (ESG), ci impegniamo a promuovere una crescita responsabile, sostenibile e inclusiva per il Pianeta, le nostre persone e la società. Scopri di più sulle nostre strategie di Corporate Sustainability, tra cui Well-being, la strategia volta a migliorare il benessere fisico, mentale e sociale delle nostre persone, affinché siano felici e piene di energia in tutti gli ambiti della loro vita e WorldClimate, la strategia globale di Deloitte per diventare un’organizzazione Net Zero e per guidare scelte responsabili all’interno e all’esterno dell’organizzazione.

Sei pront* a #MakeAnImpactThatMatter insieme? Candidati ora!

Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del dlgs. 196/2003. La ricerca rispetta il d.lgs. 198/2006, il D.lgs. 215/03 e il D.lgs. 216/03 ed è aperta a candidat* di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[] +3957593811,https://it.linkedin.com/jobs/view/data-analyst-product-team-at-satispay-3957593811?position=6&pageNum=2&refId=w%2FoowoamPds7%2Fqf81HyALw%3D%3D&trackingId=2a6zSyyDRnX8%2BBMYCJj46g%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Analyst, Product Team",Satispay,"Milan, Lombardy, Italy","About Satispay + +At Satispay, we're not just reimagining payments; we're pioneering a movement toward simplicity and accessibility. Picture yourself at the forefront of innovation, leading the way in revolutionizing payments - and beyond! - across Europe, alongside a vibrant community of like-minded individuals driven by a shared vision: simplifying payments to improve everyone’s life. + +Are you ready to be part of something bigger? Satispay is the place for you! Come be part of our dynamic team and help us shape the future of payments in Europe. + +🚀 Join us as Data Analyst - Product Team and let's make magic happen together. + +Role Overview + +As a Data Analyst, Product Team, you will join the Tech & Product team and collaborate closely with stakeholders from the Product, Engineering, and Marketing teams to identify business needs and uncover analytics opportunities. + +Your Mission + + +Deliver real impact. Bring concrete impact to the product through research and implementation of rigorous data-driven solutions. +Analyze performance. Conduct thorough analysis of product usage and performance data to identify trends and opportunities for improvement. +Generate actionable insights. Distill insights from big data and make recommendations to drive product decisions and future developments. +Design and optimize experiments. Develop and manage A/B tests to optimize and guide product enhancements. +Create and maintain dashboards. Track key metrics and visualize insights to inform stakeholders and drive data-driven decisions. +Manage analytic solutions. Modernize, standardize, troubleshoot, and maintain existing analytic solutions to ensure accuracy and reliability. +Stay current with industry trends. Continuously evolve the organization by adopting best-in-class technologies and techniques. +Enhance data-driven culture. Support decision-making and promote a data-driven culture through ad-hoc analyses and insights. + + +Your Ideal Profile + + +Proven experience and analytical skills. You have 3+ years of working experience in Business Intelligence or Data Analytics and can apply high-level analytical, statistical, and quantitative problem-solving skills to various scenarios. Experience in Product Analytics is a plus. +Expertise in programming. You possess advanced knowledge of SQL and query optimization, as well as extensive knowledge of Python or R. Additionally, you have experience with Looker, Tableau, or similar technologies. +Detail-oriented and communicative. You have a maniacal attention to detail and enjoy executing complex projects. You can communicate in a structured and convincing manner, adapting your style to build trust in a positive and professional way with various stakeholders. +Passion for fintech or startup environments. You are enthusiastic about working in dynamic, innovative settings. +Language proficiency. You are fluent in Italian and English. + + +Don't let a checklist hold you back - at Satispay, we thrive on diverse perspectives and unique strengths. Your individuality could be the missing piece to our puzzle! Even if you don't meet every skill listed above, we encourage you to apply if you're passionate about the role and believe you can contribute to our team's success. + +Your Perks as a Satisperson + +🙆🏻 Join an international team to grow with + +🏡 Hybrid working policy + +🍽️ Fuel your day with our meal vouchers + +🌐 Preply language platform access to expand your language skills + +⭐ Benefit from our 1.2k company welfare budget + +🚀 Own part of Satispay’s success with our Stock Option Plan + +👩🏻‍💻 Gear up with our tech equipment + +🥳 Join us in the fun with team-building events, parties, trips, and more! + +Our selection process is tailored to each role and includes at least a call with our Talent Acquisition Team, a technical evaluation, and a final in-person meeting. Your recruiter will share more insights during your first meeting with us! + +Equal Opportunity Employer + +At Satispay, we're proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless - for instance - of race, color, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs! + +Learn More About Us + +Curious about our core values? Explore them here. + + +Show more ","
+ + + + + +
+
+ About Satispay

At Satispay, we're not just reimagining payments; we're pioneering a movement toward simplicity and accessibility. Picture yourself at the forefront of innovation, leading the way in revolutionizing payments - and beyond! - across Europe, alongside a vibrant community of like-minded individuals driven by a shared vision: simplifying payments to improve everyone’s life.

Are you ready to be part of something bigger? Satispay is the place for you! Come be part of our dynamic team and help us shape the future of payments in Europe.

🚀 Join us as Data Analyst - Product Team and let's make magic happen together.

Role Overview

As a Data Analyst, Product Team, you will join the Tech & Product team and collaborate closely with stakeholders from the Product, Engineering, and Marketing teams to identify business needs and uncover analytics opportunities.

Your Mission

  • Deliver real impact. Bring concrete impact to the product through research and implementation of rigorous data-driven solutions.
  • Analyze performance. Conduct thorough analysis of product usage and performance data to identify trends and opportunities for improvement.
  • Generate actionable insights. Distill insights from big data and make recommendations to drive product decisions and future developments.
  • Design and optimize experiments. Develop and manage A/B tests to optimize and guide product enhancements.
  • Create and maintain dashboards. Track key metrics and visualize insights to inform stakeholders and drive data-driven decisions.
  • Manage analytic solutions. Modernize, standardize, troubleshoot, and maintain existing analytic solutions to ensure accuracy and reliability.
  • Stay current with industry trends. Continuously evolve the organization by adopting best-in-class technologies and techniques.
  • Enhance data-driven culture. Support decision-making and promote a data-driven culture through ad-hoc analyses and insights.

Your Ideal Profile

  • Proven experience and analytical skills. You have 3+ years of working experience in Business Intelligence or Data Analytics and can apply high-level analytical, statistical, and quantitative problem-solving skills to various scenarios. Experience in Product Analytics is a plus.
  • Expertise in programming. You possess advanced knowledge of SQL and query optimization, as well as extensive knowledge of Python or R. Additionally, you have experience with Looker, Tableau, or similar technologies.
  • Detail-oriented and communicative. You have a maniacal attention to detail and enjoy executing complex projects. You can communicate in a structured and convincing manner, adapting your style to build trust in a positive and professional way with various stakeholders.
  • Passion for fintech or startup environments. You are enthusiastic about working in dynamic, innovative settings.
  • Language proficiency. You are fluent in Italian and English.

Don't let a checklist hold you back - at Satispay, we thrive on diverse perspectives and unique strengths. Your individuality could be the missing piece to our puzzle! Even if you don't meet every skill listed above, we encourage you to apply if you're passionate about the role and believe you can contribute to our team's success.

Your Perks as a Satisperson

🙆🏻 Join an international team to grow with

🏡 Hybrid working policy

🍽️ Fuel your day with our meal vouchers

🌐 Preply language platform access to expand your language skills

⭐ Benefit from our 1.2k company welfare budget

🚀 Own part of Satispay’s success with our Stock Option Plan

👩🏻‍💻 Gear up with our tech equipment

🥳 Join us in the fun with team-building events, parties, trips, and more!

Our selection process is tailored to each role and includes at least a call with our Talent Acquisition Team, a technical evaluation, and a final in-person meeting. Your recruiter will share more insights during your first meeting with us!

Equal Opportunity Employer

At Satispay, we're proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless - for instance - of race, color, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs!

Learn More About Us

Curious about our core values? Explore them here.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-06,[] +3982238725,https://it.linkedin.com/jobs/view/data-analyst-at-mejobby-3982238725?position=7&pageNum=2&refId=w%2FoowoamPds7%2Fqf81HyALw%3D%3D&trackingId=s6JkCnciYeWhLi9Gi7zWlQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,MeJobby,"Milan, Lombardy, Italy","MeJobby, agenzia per il lavoro 100% in cloud, con Autorizzazione Ministeriale n. 0000004.20-05-2021 cerca per importante società operante di Marketing e Comunicazione un/una Data Analyst. + +Mansioni: + + +analisi di serie di dati e della loro accuratezza; +identificazione di modelli e tendenze; +presentazione dei risultati sotto forma di grafici analitici + + + +Requisiti: + + +Laurea in Informatica, Matematica, Ingegneria o affini; +Esperienza di almeno 2 anni come Data Analyst; +Conoscenza di linguaggio Phyton oppure R; +Attitudine al lavoro in team ed attenzione ai dettagli + + + +Orario di lavoro: full-time, dal lunedì al venerdì + +Sede di lavoro: Milano + +RAL commisurata all'esperienza del candidato + +Il presente annuncio è rivolto ad ambo i sessi. + +I candidati possono inviare un CV con autorizzazione al trattamento dei dati personali ai sensi dell'art. 13 d. lgs. 30 giugno 2003 n°196 - ""Codice in materia di protezione dei dati personali"" e dell'art. 6* e 13 GDPR 679/16 - ""Regolamento europeo sulla protezione dei dati personali"". +Show more ","
+ + + + + +
+
+ MeJobby, agenzia per il lavoro 100% in cloud, con Autorizzazione Ministeriale n. 0000004.20-05-2021 cerca per importante società operante di Marketing e Comunicazione un/una Data Analyst.

Mansioni:

  • analisi di serie di dati e della loro accuratezza;
  • identificazione di modelli e tendenze;
  • presentazione dei risultati sotto forma di grafici analitici


Requisiti:

  • Laurea in Informatica, Matematica, Ingegneria o affini;
  • Esperienza di almeno 2 anni come Data Analyst;
  • Conoscenza di linguaggio Phyton oppure R;
  • Attitudine al lavoro in team ed attenzione ai dettagli


Orario di lavoro: full-time, dal lunedì al venerdì

Sede di lavoro: Milano

RAL commisurata all'esperienza del candidato

Il presente annuncio è rivolto ad ambo i sessi.

I candidati possono inviare un CV con autorizzazione al trattamento dei dati personali ai sensi dell'art. 13 d. lgs. 30 giugno 2003 n°196 - ""Codice in materia di protezione dei dati personali"" e dell'art. 6* e 13 GDPR 679/16 - ""Regolamento europeo sulla protezione dei dati personali"". +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-25,[] +3982947603,https://it.linkedin.com/jobs/view/business-intelligence-specialist-at-rgi-group-3982947603?position=8&pageNum=2&refId=w%2FoowoamPds7%2Fqf81HyALw%3D%3D&trackingId=H9FuXAlRENjEo2oWKrMRqA%3D%3D&trk=public_jobs_jserp-result_search-card,BUSINESS INTELLIGENCE SPECIALIST,RGI Group,"Milan, Lombardy, Italy","The candidate will work in the R&D Product Factory, as part of the Business Intelligence & AI team with other experts in the field and will report to the BI & Data Science Lead. + + + + +The main activities required to the selected candidate aims at consolidating and widening the general knowledge and technological knowhow of RGI in the field of the Business Intelligence. + + + + +Responsibilities: + +Implement reports and dashboards leveraging best in class business intelligence tool (e.g. Qlik Sense) +Conduct analysis on insurance business topics: interview with client, formalization of business requirements into specifications that will be used to implement the required reports and dashboards +Design & build management information dashboards to monitor internal processes and answer business questions about trends, opportunities, and data quality issues +Became responsible of specific project stream, ensuring a high level of data quality for core data sources and relevant KPIs +Research tools, frameworks and mechanisms for data analytics providing input to new technology opportunities that will have an impact on the company BI systems +Collaborate with Data Scientists in the RGI R&D Innovation Department, contributing in the development of new algorithms and models, providing application with vertical focus on the Insurance Industry + + + + +Experiences: 1-3 years’ experience in a Business intelligence and Analytics position. + + + + +Technical competences: + +Previous experience with the business intelligence tool Qlik Sense/Qlik View +Proficiency in database query construction and data mining (SQL, PL/SQL) +Experience in ETL tools (e.g. Talend, IBM DataStage, Business Objects, Alteryx, etc.) and management of databases is a strong plus +Knowledge with one of the following languages: Python, R, MATLAB, SAS is a plus +Knowledge of big data architecture and data manipulation tools, based on Cloudera and HortonWorks (e.g. Apache Spark, Elasticsearch, Kafka….) is a plus +Proven capability to quickly grasp new processes and technologies +Fluent in Italian +Professional English Knowledge + + + + +Personal skills: + +Attitude at team-working +Commitment, precision, autonomy +Willingness of learning and delivering innovation-based products to a wider audience +Attention to detail, passion for processes, systems and data mining + + + + +Education: The candidate will have a Master’s Degree in Statistics, Applied Math, Physics, Engineering, Computer Science or a related quantitative discipline. + + + + + + + +This announcement is addressed to candidates of both sexes pursuant to the law (L.903 / 77 and Legislative Decree No. 98/2006, art. 27). The interested party is invited to send his / her application by giving specific consent to the processing of personal data, pursuant to the new European Privacy Law, in accordance with articles 13 and 14 of the GDPR (Regulation (EU), 27 April 2016, n. 2016/679). + +Show more ","
+ + + + + +
+
+

The candidate will work in the R&D Product Factory, as part of the Business Intelligence & AI team with other experts in the field and will report to the BI & Data Science Lead.


The main activities required to the selected candidate aims at consolidating and widening the general knowledge and technological knowhow of RGI in the field of the Business Intelligence.


Responsibilities:

  • Implement reports and dashboards leveraging best in class business intelligence tool (e.g. Qlik Sense)
  • Conduct analysis on insurance business topics: interview with client, formalization of business requirements into specifications that will be used to implement the required reports and dashboards
  • Design & build management information dashboards to monitor internal processes and answer business questions about trends, opportunities, and data quality issues
  • Became responsible of specific project stream, ensuring a high level of data quality for core data sources and relevant KPIs
  • Research tools, frameworks and mechanisms for data analytics providing input to new technology opportunities that will have an impact on the company BI systems
  • Collaborate with Data Scientists in the RGI R&D Innovation Department, contributing in the development of new algorithms and models, providing application with vertical focus on the Insurance Industry


Experiences: 1-3 years’ experience in a Business intelligence and Analytics position.


Technical competences:

  • Previous experience with the business intelligence tool Qlik Sense/Qlik View
  • Proficiency in database query construction and data mining (SQL, PL/SQL)
  • Experience in ETL tools (e.g. Talend, IBM DataStage, Business Objects, Alteryx, etc.) and management of databases is a strong plus
  • Knowledge with one of the following languages: Python, R, MATLAB, SAS is a plus
  • Knowledge of big data architecture and data manipulation tools, based on Cloudera and HortonWorks (e.g. Apache Spark, Elasticsearch, Kafka….) is a plus
  • Proven capability to quickly grasp new processes and technologies
  • Fluent in Italian
  • Professional English Knowledge


Personal skills:

  • Attitude at team-working
  • Commitment, precision, autonomy
  • Willingness of learning and delivering innovation-based products to a wider audience
  • Attention to detail, passion for processes, systems and data mining


Education: The candidate will have a Master’s Degree in Statistics, Applied Math, Physics, Engineering, Computer Science or a related quantitative discipline.



This announcement is addressed to candidates of both sexes pursuant to the law (L.903 / 77 and Legislative Decree No. 98/2006, art. 27). The interested party is invited to send his / her application by giving specific consent to the processing of personal data, pursuant to the new European Privacy Law, in accordance with articles 13 and 14 of the GDPR (Regulation (EU), 27 April 2016, n. 2016/679).

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-23,[] +3322939638,https://it.linkedin.com/jobs/view/internship-data-analyst-at-crif-3322939638?position=9&pageNum=2&refId=w%2FoowoamPds7%2Fqf81HyALw%3D%3D&trackingId=UrCgQtBnYQb5oDHUTxbs3g%3D%3D&trk=public_jobs_jserp-result_search-card,internship data analyst,CRIF,"Milan, Lombardy, Italy","JUNIOR DATA ANALYST - INTERNSHIP + + + + +Vuoi far parte di un contesto internazionale e in forte crescita? + + + + +Entra a far parte di CRIF, un’azienda globale specializzata nello sviluppo e nella gestione di sistemi di informazioni creditizie (SIC), di business information e di soluzioni per il credito. + + + + +La mission che guida tutti noi di CRIF è creare valore, aiutando le aziende nel miglioramento delle performance e i consumatori nella gestione consapevole del proprio credito attraverso una gamma completa di soluzioni e competenze professionali. + + + + +A fronte di un costante trend di crescita, siamo alla ricerca di: + + + + +INTERNSHIP DATA ANALYST + + + + +Verifica e lavorazione dei dati finanziari + + + + +Stiamo cercando una risorsa che entrerà a far parte del Team Data Quality, (area Data & Solutions Management) che ha l’obiettivo di assicurare la qualità e l’aggiornamento dei dati su piattaforma per la creazione di report e soluzioni di Risk Management, Marketing e Supply Management per le imprese. + + + + +Ruolo e Responsabilità + + + + +Avrai la responsabilità di analizzare e verificare la correttezza dei dati inseriti nel database; +Effettuerai analisi proattive sulla banca dati volte ad identificare margini di efficientamento nei flussi e strategie ottimali per migliorare la qualità del dato; +Raggiungerai una migliore elaborazione dei risultati delle tue analisi grazie ad un costante affiancamento; +Parteciperai attivamente a progetti per il cliente; +Supporterai le attività consulenziali focalizzate sull’implementazione di prodotti e servizi; +Sarai coinvolto nello sviluppo di mercato e di business dell’area. + + + + +Competenze ricercate + + + + +Laurea in economia, ingegneria, statistica o discipline affini +Conoscenza e competenza in ambito SQL +Conoscenza e competenza di Access, Excel, Power Point e Word +Conoscenza fluente di italiano e inglese +Ottime doti relazionali e comunicative +Orientamento al raggiungimento degli obiettivi +Buona attitudine a lavorare in team +Predisposizione all’analisi +Buona gestione dello stress e del tempo nel rispetto delle scadenze + + + + +Le ricerche sono rivolte a candidati dell'uno e dell'altro sesso ai sensi della L. 903/77 e L. 125/91. + + + + +I candidati interessati dovranno inviare la propria candidatura dichiarando espressamente il loro consenso al trattamento dei dati personali (art. 13 del D. Lgs. 196/2003 e art. 13 GDPR 679/16) + + + + +Show more ","
+ + + + + +
+
+ JUNIOR DATA ANALYST - INTERNSHIP


Vuoi far parte di un contesto internazionale e in forte crescita?


Entra a far parte di CRIF, un’azienda globale specializzata nello sviluppo e nella gestione di sistemi di informazioni creditizie (SIC), di business information e di soluzioni per il credito.


La mission che guida tutti noi di CRIF è creare valore, aiutando le aziende nel miglioramento delle performance e i consumatori nella gestione consapevole del proprio credito attraverso una gamma completa di soluzioni e competenze professionali.


A fronte di un costante trend di crescita, siamo alla ricerca di:


INTERNSHIP DATA ANALYST


Verifica e lavorazione dei dati finanziari


Stiamo cercando una risorsa che entrerà a far parte del Team Data Quality, (area Data & Solutions Management) che ha l’obiettivo di assicurare la qualità e l’aggiornamento dei dati su piattaforma per la creazione di report e soluzioni di Risk Management, Marketing e Supply Management per le imprese.


Ruolo e Responsabilità


  • Avrai la responsabilità di analizzare e verificare la correttezza dei dati inseriti nel database;
  • Effettuerai analisi proattive sulla banca dati volte ad identificare margini di efficientamento nei flussi e strategie ottimali per migliorare la qualità del dato;
  • Raggiungerai una migliore elaborazione dei risultati delle tue analisi grazie ad un costante affiancamento;
  • Parteciperai attivamente a progetti per il cliente;
  • Supporterai le attività consulenziali focalizzate sull’implementazione di prodotti e servizi;
  • Sarai coinvolto nello sviluppo di mercato e di business dell’area.


Competenze ricercate


  • Laurea in economia, ingegneria, statistica o discipline affini
  • Conoscenza e competenza in ambito SQL
  • Conoscenza e competenza di Access, Excel, Power Point e Word
  • Conoscenza fluente di italiano e inglese
  • Ottime doti relazionali e comunicative
  • Orientamento al raggiungimento degli obiettivi
  • Buona attitudine a lavorare in team
  • Predisposizione all’analisi
  • Buona gestione dello stress e del tempo nel rispetto delle scadenze


Le ricerche sono rivolte a candidati dell'uno e dell'altro sesso ai sensi della L. 903/77 e L. 125/91.


I candidati interessati dovranno inviare la propria candidatura dichiarando espressamente il loro consenso al trattamento dei dati personali (art. 13 del D. Lgs. 196/2003 e art. 13 GDPR 679/16)


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",2024-08-16,[] +3980765453,https://it.linkedin.com/jobs/view/junior-data-analyst-insurance-at-mavriq-3980765453?position=10&pageNum=2&refId=w%2FoowoamPds7%2Fqf81HyALw%3D%3D&trackingId=z5FnfX8%2Bu6xuw53pm7AISg%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Analyst (Insurance),Mavriq,"Milan, Lombardy, Italy","Mavriq, divisione B2C di Moltiply Group, è la tech company a cui appartengono alcuni tra i più importanti brand di comparazione ed intermediazione online in Italia (MutuiOnline.it, Segugio.it, SOStariffe.it, Trovaprezzi.it e molti altri) e all’estero (LeLynx.fr, Rastreator.com e Rastreator.mx). I servizi offerti dai brand di Mavriq aiutano con trasparenza i consumatori a trovare ciò di cui hanno bisogno, al miglior prezzo. Mavriq conta oggi più di 800 persone distribuite in Europa, America Latina ed Asia. + + + + +Posizione + +Il nostro team Insurance è alla ricerca di un/una brillante neolaureato per la posizione di Junior Data Analyst. + +Come Junior Data Analyst avrai il compito di supportare il team nella definizione e realizzazione di progetti strategici con l'obiettivo di garantire il miglior livello di servizio per rispondere alla crescente domanda dei nostri Clienti. Ti occuperai della creazione di modelli quantitativi e dashboard a supporto dello sviluppo di Segugio.it e del miglioramento delle performance dei processi di business, affiancandoti a data analyst esperti ed acquisendo una profonda conoscenza del business assicurativo e dell’online. + + + + +Più nel dettaglio: + +Svilupperai ed implementerai modelli quantitativi e dashboard; +Supporterai la direzione Insurance nell’ottimizzazione dei processi esistenti e nello sviluppo di nuove attività/processi/linee di business; +Lavorerai in sinergia con le diverse funzioni aziendali per sviluppare, testare ed ottimizzare i processi. +Requisiti +Neolaureato STEM o statistica; +Ottime capacità analitiche e propensione all'implementazione di modelli matematici e predittivi; +Precisione e attenzione nell'esecuzione delle attività; +Conoscenza avanzata di Microsoft Excel; +Proattività, predisposizione al lavoro in team; +Conoscenza di R o Python, Tableau e SQL verranno considerati un plus. + + + + +Cosa troverai da noi + +Un ambiente di lavoro giovane e stimolante; +Colleghi altrettanto appassionati con cui confrontarti e imparare (e anche a cui insegnare qualcosa di nuovo); +Possibilità di contribuire attivamente ai successi dell'azienda e di veder riconosciuti i tuoi meriti indipendentemente dalla tua seniority; +Flessibilità, smart working e welfare; +Incontri periodici di feedback che ti permetteranno di accrescere la tua professionalità e migliorare le tue performance; +Momenti di aggregazione, condivisione e celebrazione dei successi; +Iniziative volte alla formazione ed allo scambio di competenze; +Possibilità di lavorare con un team d’eccellenza in ambito assicurativo diretto. + + + + +Se credi che questa sia l'azienda giusta per te, mandaci il tuo CV! + + + + +Sede di lavoro: Milano, via Desenzano 2 (MM Gambara) + + + + + + + +La ricerca è rivolta ad ambo i sessi (ai sensi delle Leggi n. 903/77 e n. 125/91). + + + + +Si richiede esplicito consenso al trattamento dei dati personali (ex D.Lgs. 196/03 e GDPR - Reg.UE. 2016/679). + +Show more ","
+ + + + + +
+
+

Mavriq, divisione B2C di Moltiply Group, è la tech company a cui appartengono alcuni tra i più importanti brand di comparazione ed intermediazione online in Italia (MutuiOnline.it, Segugio.it, SOStariffe.it, Trovaprezzi.it e molti altri) e all’estero (LeLynx.fr, Rastreator.com e Rastreator.mx). I servizi offerti dai brand di Mavriq aiutano con trasparenza i consumatori a trovare ciò di cui hanno bisogno, al miglior prezzo. Mavriq conta oggi più di 800 persone distribuite in Europa, America Latina ed Asia.


Posizione

Il nostro team Insurance è alla ricerca di un/una brillante neolaureato per la posizione di Junior Data Analyst.

Come Junior Data Analyst avrai il compito di supportare il team nella definizione e realizzazione di progetti strategici con l'obiettivo di garantire il miglior livello di servizio per rispondere alla crescente domanda dei nostri Clienti. Ti occuperai della creazione di modelli quantitativi e dashboard a supporto dello sviluppo di Segugio.it e del miglioramento delle performance dei processi di business, affiancandoti a data analyst esperti ed acquisendo una profonda conoscenza del business assicurativo e dell’online.


Più nel dettaglio:

  • Svilupperai ed implementerai modelli quantitativi e dashboard;
  • Supporterai la direzione Insurance nell’ottimizzazione dei processi esistenti e nello sviluppo di nuove attività/processi/linee di business;
  • Lavorerai in sinergia con le diverse funzioni aziendali per sviluppare, testare ed ottimizzare i processi.
  • Requisiti
  • Neolaureato STEM o statistica;
  • Ottime capacità analitiche e propensione all'implementazione di modelli matematici e predittivi;
  • Precisione e attenzione nell'esecuzione delle attività;
  • Conoscenza avanzata di Microsoft Excel;
  • Proattività, predisposizione al lavoro in team;
  • Conoscenza di R o Python, Tableau e SQL verranno considerati un plus.


Cosa troverai da noi

  • Un ambiente di lavoro giovane e stimolante;
  • Colleghi altrettanto appassionati con cui confrontarti e imparare (e anche a cui insegnare qualcosa di nuovo);
  • Possibilità di contribuire attivamente ai successi dell'azienda e di veder riconosciuti i tuoi meriti indipendentemente dalla tua seniority;
  • Flessibilità, smart working e welfare;
  • Incontri periodici di feedback che ti permetteranno di accrescere la tua professionalità e migliorare le tue performance;
  • Momenti di aggregazione, condivisione e celebrazione dei successi;
  • Iniziative volte alla formazione ed allo scambio di competenze;
  • Possibilità di lavorare con un team d’eccellenza in ambito assicurativo diretto.


Se credi che questa sia l'azienda giusta per te, mandaci il tuo CV!


Sede di lavoro: Milano, via Desenzano 2 (MM Gambara)



La ricerca è rivolta ad ambo i sessi (ai sensi delle Leggi n. 903/77 e n. 125/91).


Si richiede esplicito consenso al trattamento dei dati personali (ex D.Lgs. 196/03 e GDPR - Reg.UE. 2016/679).

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-23,[] +3798604070,https://it.linkedin.com/jobs/view/data-warehouse-analyst-at-fineco-bank-3798604070?position=1&pageNum=5&refId=rXNMahlnNonl%2Fb7rsJBymQ%3D%3D&trackingId=t2Ebvob%2BsXqc3oVBE30ZaA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Warehouse Analyst,Fineco Bank,"Milan, Lombardy, Italy","Company Description + +Fineco Bank is a leading European bank with a 20 years history and a fully digital DNA with a branchless approach since the start. Fineco is one of the banks with the widest products range available. We have developed a truly one-stop-solution which includes trading, investment and payment services. We have developed a 100% proprietary platform for trading and investment which covers all customer needs from trading listed and OTC product to investment product such as mutual funds and ETF. In addition to this we also offer banking and payment solution for domestic and international demand. + +Position + +La funzione ICT sviluppa e gestisce le applicazioni software e l'infrastruttura tecnologica della Banca. Promuove la razionalizzazione in azienda di tutti i processi di lavoro, a supporto delle linee di business, tramite la rilevazione delle esigenze di servizi informatici e promozione delle opportunità tecnologiche offerte dall'evoluzione del sistema informativo. + +Descrizione dell'attività + +Inserita all'interno dell'area Data Warehouse, la persona da noi ricercata sarà chiamata a svolgere le seguenti attività: + + +Analizzare le esigenze degli utenti interni in termini di reporting e analisi. +Esplicitare i fabbisogni informativi. +Disegnare e implementare le procedure di integrazione dati dai sistemi alimentanti. +Definire e implementare i reports e le analisi sui dati. + + + +Requirements + + +Laurea in Ingegneria Informatica, Informatica o Statistica/Matematica. +Interesse verso le tematiche di modellazione dati, sviluppo e gestione database, business intelligence. +Conoscenza di almeno un database fra MS SQL Server, MS Access, Oracle, Sybase, MySQL. + + + +Costituiscono Titolo Preferenziale + + +Esperienza con Analysis Services (SSAS). +Conoscenza di un qualche tool di business intelligence (per esempio PowerBI). + + + +Si desidera entrare in contatto con persone che si distinguono per le ottime capacità relazionali, affidabilità ed autonomia organizzativa. + +Completano il profilo una forte determinazione ed orientamento al risultato, una personalità vivace e proattiva, con ottime capacità organizzative e doti di riservatezza e affidabilità. + +Other information + +Sede di lavoro: Milano (alternanza presenza in sede e smart working) + +Tipo di contratto: CCNL credito, tempo indeterminato + +Il Gruppo Fineco è orgoglioso di essere un Equal Opportunity Employer e si impegna a creare un ambiente di lavoro sicuro e inclusivo, fondato sul rispetto reciproco e la valorizzazione di qualsiasi diversità, offrendo pari opportunità di lavoro. Fineco “The Place To Be” +Show more ","
+ + + + + +
+
+ Company Description

Fineco Bank is a leading European bank with a 20 years history and a fully digital DNA with a branchless approach since the start. Fineco is one of the banks with the widest products range available. We have developed a truly one-stop-solution which includes trading, investment and payment services. We have developed a 100% proprietary platform for trading and investment which covers all customer needs from trading listed and OTC product to investment product such as mutual funds and ETF. In addition to this we also offer banking and payment solution for domestic and international demand.

Position

La funzione ICT sviluppa e gestisce le applicazioni software e l'infrastruttura tecnologica della Banca. Promuove la razionalizzazione in azienda di tutti i processi di lavoro, a supporto delle linee di business, tramite la rilevazione delle esigenze di servizi informatici e promozione delle opportunità tecnologiche offerte dall'evoluzione del sistema informativo.

Descrizione dell'attività

Inserita all'interno dell'area Data Warehouse, la persona da noi ricercata sarà chiamata a svolgere le seguenti attività:

  • Analizzare le esigenze degli utenti interni in termini di reporting e analisi.
  • Esplicitare i fabbisogni informativi.
  • Disegnare e implementare le procedure di integrazione dati dai sistemi alimentanti.
  • Definire e implementare i reports e le analisi sui dati.


Requirements

  • Laurea in Ingegneria Informatica, Informatica o Statistica/Matematica.
  • Interesse verso le tematiche di modellazione dati, sviluppo e gestione database, business intelligence.
  • Conoscenza di almeno un database fra MS SQL Server, MS Access, Oracle, Sybase, MySQL.


Costituiscono Titolo Preferenziale

  • Esperienza con Analysis Services (SSAS).
  • Conoscenza di un qualche tool di business intelligence (per esempio PowerBI).


Si desidera entrare in contatto con persone che si distinguono per le ottime capacità relazionali, affidabilità ed autonomia organizzativa.

Completano il profilo una forte determinazione ed orientamento al risultato, una personalità vivace e proattiva, con ottime capacità organizzative e doti di riservatezza e affidabilità.

Other information

Sede di lavoro: Milano (alternanza presenza in sede e smart working)

Tipo di contratto: CCNL credito, tempo indeterminato

Il Gruppo Fineco è orgoglioso di essere un Equal Opportunity Employer e si impegna a creare un ambiente di lavoro sicuro e inclusivo, fondato sul rispetto reciproco e la valorizzazione di qualsiasi diversità, offrendo pari opportunità di lavoro. Fineco “The Place To Be” +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-13,[] +3996526624,https://it.linkedin.com/jobs/view/business-intelligence-specialist-at-abb-3996526624?position=4&pageNum=5&refId=rXNMahlnNonl%2Fb7rsJBymQ%3D%3D&trackingId=hO5N79Q7qtUFRBu9FIWLzQ%3D%3D&trk=public_jobs_jserp-result_search-card,Business Intelligence Specialist,ABB,"Sesto San Giovanni, Lombardy, Italy","At ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions. + +Write the next chapter of your ABB story. + +This position reports to + +Pricing Specialist + +Your role and responsibilities + +In this role, you will have the opportunity to work closely with sales, marketing and product functions providing data and statistics to support existing and potential products, systems, and/or services strategy. Each day, you will support the implementation, development and maintenance of region statistics (costs, sales, prices, orders, etc.) through big data tools like PowerBI. You will support sales with statistics and scorecard tracking and provide computing expertise to the organization. You will also showcase your expertise by working with the team on new development dashboards. + +The work model for the role is: + +This role contributes to the Electrification - Installation Products Business Line in Sesto San Giovanni (MI). + +You will be mainly accountable for: + + +Constructing and fitting statistical, machine learning, or optimization models and developing appropriate advanced statistical methods +Designing database systems +Ensuring high-quality analysis and extracting data from sales/financial tools to support KPI tracking +Assisting in the development of statistical analysis tools +Collaborating with internal stakeholders to understand business challenges and develop analytical solutions +Supporting regional teams in the best use of tracking system and monitoring ongoing data quality. +Suggesting improvements concerning statistics creation and maintenance. +Documenting, reviewing and updating all documents on tools and database setup + + +You will join a dynamic and talented team, where you will be able to thrive. + + +Qualifications For The Role + + +Degree in Computer Science, Mathematics, Statistics or similar +Extensive knowledge of Excel, PowerBI - DAX and Power Query. R and Phyton are a plus +You are passionate about data management and structures. Knowledge of costs and profitability KPIs is preferred +You enjoy working in a team and you have a good interpersonal attitude +You are goal-oriented, precise in following procedures and have a problem solving attitude +You are at ease communicating in both Italian and English languages + + +What's in it for you? + + +Work in a company with a strong technology legacy and deeply rooted in local communities +Bring your knowledge and expertise, make the difference in technology +Flexibility: we have hybrid work options, make the best out of them! + + +More about us + +ABB Installation Products Division (formerly Thomas&Betts), helps manage the connection, protection and distribution of electrical power from source to socket. The Division’s products are engineered to provide ease of installation and perform in demanding and harsh conditions, helping to ensure safety and continuous operation for utilities, businesses and people around the world. The Commercial Essentials product segment includes electrical junction boxes, commercial fittings, strut and cable tray metal framing systems for commercial and residential construction. The Premier Industrial product segment includes multiple product lines, such as Ty-Rap® cable ties, T&B Liquidtight Systems® protection products, PVC coated and nylon conduit systems, power connection and grounding systems, and cable protection systems of conduits and fittings for harsh and industrial applications. The Division also manufactures solutions for medium-voltage applications used in the utility market under its marquee brands including Elastimold™ reclosers and switchgear, capacitor switches, current limiting fuses, Homac™ distribution connectors, Hi-Tech Valiant™ full-range current limiting fuse for fire mitigation, faulted current indicators and distribution connectors, cable accessories and apparatus with products for overhead and underground distribution. Manufacturing includes made-to-stock and custom-made solutions. + +We value people from different backgrounds. Apply today for your next career step within ABB and visit www.abb.com to learn about the impact of our solutions across the globe. #MyABBStory + +For further info: Davide Lippiello, Talent Partner + + +92793677 + + +Show more ","
+ + + + + +
+
+ At ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions.

Write the next chapter of your ABB story.

This position reports to

Pricing Specialist

Your role and responsibilities

In this role, you will have the opportunity to work closely with sales, marketing and product functions providing data and statistics to support existing and potential products, systems, and/or services strategy. Each day, you will support the implementation, development and maintenance of region statistics (costs, sales, prices, orders, etc.) through big data tools like PowerBI. You will support sales with statistics and scorecard tracking and provide computing expertise to the organization. You will also showcase your expertise by working with the team on new development dashboards.

The work model for the role is:

This role contributes to the Electrification - Installation Products Business Line in Sesto San Giovanni (MI).

You will be mainly accountable for:

  • Constructing and fitting statistical, machine learning, or optimization models and developing appropriate advanced statistical methods
  • Designing database systems
  • Ensuring high-quality analysis and extracting data from sales/financial tools to support KPI tracking
  • Assisting in the development of statistical analysis tools
  • Collaborating with internal stakeholders to understand business challenges and develop analytical solutions
  • Supporting regional teams in the best use of tracking system and monitoring ongoing data quality.
  • Suggesting improvements concerning statistics creation and maintenance.
  • Documenting, reviewing and updating all documents on tools and database setup

You will join a dynamic and talented team, where you will be able to thrive.


Qualifications For The Role

  • Degree in Computer Science, Mathematics, Statistics or similar
  • Extensive knowledge of Excel, PowerBI - DAX and Power Query. R and Phyton are a plus
  • You are passionate about data management and structures. Knowledge of costs and profitability KPIs is preferred
  • You enjoy working in a team and you have a good interpersonal attitude
  • You are goal-oriented, precise in following procedures and have a problem solving attitude
  • You are at ease communicating in both Italian and English languages

What's in it for you?

  • Work in a company with a strong technology legacy and deeply rooted in local communities
  • Bring your knowledge and expertise, make the difference in technology
  • Flexibility: we have hybrid work options, make the best out of them!

More about us

ABB Installation Products Division (formerly Thomas&Betts), helps manage the connection, protection and distribution of electrical power from source to socket. The Division’s products are engineered to provide ease of installation and perform in demanding and harsh conditions, helping to ensure safety and continuous operation for utilities, businesses and people around the world. The Commercial Essentials product segment includes electrical junction boxes, commercial fittings, strut and cable tray metal framing systems for commercial and residential construction. The Premier Industrial product segment includes multiple product lines, such as Ty-Rap® cable ties, T&B Liquidtight Systems® protection products, PVC coated and nylon conduit systems, power connection and grounding systems, and cable protection systems of conduits and fittings for harsh and industrial applications. The Division also manufactures solutions for medium-voltage applications used in the utility market under its marquee brands including Elastimold™ reclosers and switchgear, capacitor switches, current limiting fuses, Homac™ distribution connectors, Hi-Tech Valiant™ full-range current limiting fuse for fire mitigation, faulted current indicators and distribution connectors, cable accessories and apparatus with products for overhead and underground distribution. Manufacturing includes made-to-stock and custom-made solutions.

We value people from different backgrounds. Apply today for your next career step within ABB and visit www.abb.com to learn about the impact of our solutions across the globe. #MyABBStory

For further info: Davide Lippiello, Talent Partner


92793677

 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-08,[] +3982844162,https://it.linkedin.com/jobs/view/data-operations-analyst-at-adecco-3982844162?position=5&pageNum=5&refId=rXNMahlnNonl%2Fb7rsJBymQ%3D%3D&trackingId=2ZjAAnu5hjZRkGreRAZNpw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Operations Analyst,Adecco,"Garbagnate Milanese, Lombardy, Italy","Adecco Consultant ricerca per Hoya Lens Italia, azienda Multinazionale Giapponese settore oftalmico, con sede a Garbagnate M.se, un/una : + + + + +Data Operations Analyst + + + + +La risorsa verrà inserita all’interno del Global Rx Control & Support Team e avrà la responsabilità della preparazione e mantenimento di tutta la reportistica di produzione a livello internazionale, in affiancamento ad altre risorse già presenti. Dovrà garantire l'integrità, la qualità e la disponibilità dei dati, supportando le decisioni strategiche attraverso l'analisi, con particolare attenzione al miglioramento dei KPI e dei processi produttivi. + + + + +Titolo di studi: + +Laurea in facoltà tecnico scientifiche STEM, con particolare focus a laureati nell’ambito tecnico/Ingegneristico. + + + + +Responsabilità principali: + +Preparare e mantenere report di produzione a livello internazionale. +Assicurare l'integrità, la qualità e la disponibilità dei dati. +Supportare le decisioni strategiche attraverso analisi dei dati. +Concentrarsi sul miglioramento dei KPI e dei processi produttivi. +Collaborare con il team globale per ottimizzare i processi e migliorare le performance. + + + + +Competenze necessarie: + +Esperienza, seppur breve, in ruoli similari in contesti produttivi strutturati. + +Lingua inglese fluente (scritta e parlata). + +Ottima conoscenza del pacchetto Office, con particolare attenzione a Excel. +Eccellente capacità di analisi. +Attenzione ai dettagli e forte orientamento alla qualità dei dati. +Comunicare efficacemente con diverse figure/ruoli a livello internazionale. +Abilità nel gestire più compiti contemporaneamente rispettando le scadenze richieste. + + + + +Si offre + +Contratto di lavoro a tempo indeterminato con RAL commisurata all’esperienza maturata +E’ previsto un primo periodo di formazione in produzione, al fine di capire e conoscere tutti i processi produttivi e le dinamiche operative + + + + +Sede di lavoro: Garbagnate Milanese (MI) + +Orario: Full time + +Show more ","
+ + + + + +
+
+

Adecco Consultant ricerca per Hoya Lens Italia, azienda Multinazionale Giapponese settore oftalmico, con sede a Garbagnate M.se, un/una :


Data Operations Analyst


La risorsa verrà inserita all’interno del Global Rx Control & Support Team e avrà la responsabilità della preparazione e mantenimento di tutta la reportistica di produzione a livello internazionale, in affiancamento ad altre risorse già presenti. Dovrà garantire l'integrità, la qualità e la disponibilità dei dati, supportando le decisioni strategiche attraverso l'analisi, con particolare attenzione al miglioramento dei KPI e dei processi produttivi.


Titolo di studi:

Laurea in facoltà tecnico scientifiche STEM, con particolare focus a laureati nell’ambito tecnico/Ingegneristico.


Responsabilità principali:

  • Preparare e mantenere report di produzione a livello internazionale.
  • Assicurare l'integrità, la qualità e la disponibilità dei dati.
  • Supportare le decisioni strategiche attraverso analisi dei dati.
  • Concentrarsi sul miglioramento dei KPI e dei processi produttivi.
  • Collaborare con il team globale per ottimizzare i processi e migliorare le performance.


Competenze necessarie:

Esperienza, seppur breve, in ruoli similari in contesti produttivi strutturati.

Lingua inglese fluente (scritta e parlata).

  • Ottima conoscenza del pacchetto Office, con particolare attenzione a Excel.
  • Eccellente capacità di analisi.
  • Attenzione ai dettagli e forte orientamento alla qualità dei dati.
  • Comunicare efficacemente con diverse figure/ruoli a livello internazionale.
  • Abilità nel gestire più compiti contemporaneamente rispettando le scadenze richieste.


Si offre

  • Contratto di lavoro a tempo indeterminato con RAL commisurata all’esperienza maturata
  • E’ previsto un primo periodo di formazione in produzione, al fine di capire e conoscere tutti i processi produttivi e le dinamiche operative


Sede di lavoro: Garbagnate Milanese (MI)

Orario: Full time

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-24,[] +3928869496,https://it.linkedin.com/jobs/view/stage-business-intelligence-at-banca-mediolanum-3928869496?position=6&pageNum=5&refId=rXNMahlnNonl%2Fb7rsJBymQ%3D%3D&trackingId=vcezwCY3xzUNETKTkSxqEw%3D%3D&trk=public_jobs_jserp-result_search-card,Stage Business Intelligence,Banca Mediolanum,"Basiglio, Lombardy, Italy","Società + +Banca Mediolanum spa + +Posizione + + + + +Stage Business Intelligence + + + + +Responsabilità primarie + +L’ufficio Business Intelligence, parte dell’Unità di supporto manageriale Market e Business Intelligence all'interno della Direzione Servizi di Investimento e Assicurativi, si occupa di fornire alle varie Direzioni della Banca, in modo approfondito e fattuale, analisi qualitative e quantitative sulle dinamiche aziendali in relazione ai prodotti, ai clienti ed ai relativi canali a supporto delle valutazioni di business e di offerta. + +Siamo alla ricerca di una risorsa da inserire in stage nel team che, con competenza, precisione ed entusiasmo, possa contribuire a generare valore verso gli stakeholders interni ed affrontare al meglio le sfide che il contesto pone. + +La risorsa lavorerà con gli altri specialisti dell’ufficio, ed in sinergia con le altre anime che compongono l’Unità, a diretto riporto del responsabile di Business Intelligence ed avrà il compito di utilizzare le informazioni ottenute dai dati per permettere di prendere decisioni consapevoli ed efficaci al fine di elaborare strategie utili al business. + + + + +Nello specifico, il/la tirocinante fornirà supporto operativo alle seguenti attività: + +fornire alle varie funzioni aziendali indicazioni utili per una efficace ed efficiente comprensione del valore dei clienti attraverso analisi quali/quantitative sulle caratteristiche e le esigenze della Customer Base in relazione ai prodotti ed ai relativi canali; +comprendere i bisogni, tradurre le esigenze e le domande di business in approcci analitici solidi, efficaci e convincenti utilizzando differenti tecniche di analisi e visualizzazione dati; +comunicare in maniera efficace gli insight ai principali stakeholders, anche non analitici, in modo da supportarli nel processo decisionale; +creazione di report direzionali sulle dinamiche aziendali erogati attraverso il tool di BI adottato in azienda (Microsoft Power BI) in un’ottica di self-service BI. + + + + +Profilo competenze + +Requisiti + +laurea magistrale in discipline economiche o statistiche; +ottima padronanza del linguaggio di programmazione SQL e di Microsoft PowerBI; +conoscenza di almeno un tool statistico/linguaggio di programmazione (p.e. R, Python); +completano il profilo un forte orientamento al risultato e agli obbiettivi aziendali, spirito di iniziativa e proattività. + +Sede di lavoro: Basiglio (MI). Smartworking settimanale. + +I dati richiesti verranno trattati nell’assoluto rispetto delle disposizioni contenute nel Regolamento Europeo 679/2016 (General Data Protection Regulation - “GDPR” o “Normativa Privacy”) e sue successive modificazioni ed integrazioni. + +Gruppo Mediolanum si impegna a garantire la parità di trattamento a tutti i candidati secondo i principi di Diversity and Inclusion. + +Show more ","
+ + + + + +
+
+

Società

Banca Mediolanum spa

Posizione


Stage Business Intelligence


Responsabilità primarie

L’ufficio Business Intelligence, parte dell’Unità di supporto manageriale Market e Business Intelligence all'interno della Direzione Servizi di Investimento e Assicurativi, si occupa di fornire alle varie Direzioni della Banca, in modo approfondito e fattuale, analisi qualitative e quantitative sulle dinamiche aziendali in relazione ai prodotti, ai clienti ed ai relativi canali a supporto delle valutazioni di business e di offerta.

Siamo alla ricerca di una risorsa da inserire in stage nel team che, con competenza, precisione ed entusiasmo, possa contribuire a generare valore verso gli stakeholders interni ed affrontare al meglio le sfide che il contesto pone.

La risorsa lavorerà con gli altri specialisti dell’ufficio, ed in sinergia con le altre anime che compongono l’Unità, a diretto riporto del responsabile di Business Intelligence ed avrà il compito di utilizzare le informazioni ottenute dai dati per permettere di prendere decisioni consapevoli ed efficaci al fine di elaborare strategie utili al business.


Nello specifico, il/la tirocinante fornirà supporto operativo alle seguenti attività:

  • fornire alle varie funzioni aziendali indicazioni utili per una efficace ed efficiente comprensione del valore dei clienti attraverso analisi quali/quantitative sulle caratteristiche e le esigenze della Customer Base in relazione ai prodotti ed ai relativi canali;
  • comprendere i bisogni, tradurre le esigenze e le domande di business in approcci analitici solidi, efficaci e convincenti utilizzando differenti tecniche di analisi e visualizzazione dati;
  • comunicare in maniera efficace gli insight ai principali stakeholders, anche non analitici, in modo da supportarli nel processo decisionale;
  • creazione di report direzionali sulle dinamiche aziendali erogati attraverso il tool di BI adottato in azienda (Microsoft Power BI) in un’ottica di self-service BI.


Profilo competenze

Requisiti

  • laurea magistrale in discipline economiche o statistiche;
  • ottima padronanza del linguaggio di programmazione SQL e di Microsoft PowerBI;
  • conoscenza di almeno un tool statistico/linguaggio di programmazione (p.e. R, Python);
  • completano il profilo un forte orientamento al risultato e agli obbiettivi aziendali, spirito di iniziativa e proattività.

Sede di lavoro: Basiglio (MI). Smartworking settimanale.

I dati richiesti verranno trattati nell’assoluto rispetto delle disposizioni contenute nel Regolamento Europeo 679/2016 (General Data Protection Regulation - “GDPR” o “Normativa Privacy”) e sue successive modificazioni ed integrazioni.

Gruppo Mediolanum si impegna a garantire la parità di trattamento a tutti i candidati secondo i principi di Diversity and Inclusion.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-11,[] +3922742885,https://it.linkedin.com/jobs/view/analista-data-governance-at-ntt-data-italia-3922742885?position=7&pageNum=5&refId=rXNMahlnNonl%2Fb7rsJBymQ%3D%3D&trackingId=UIbnO5HHP1PA%2BiyEPZW3HA%3D%3D&trk=public_jobs_jserp-result_search-card,Analista Data Governance,NTT DATA Italia,"Milan, Lombardy, Italy","NTT DATA, Trusted Global Innovator, è tra i principali player a livello mondiale in ambito IT services. + +Con più di 140.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura. Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine. + +Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze. + +Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento! + +www.nttdata.com/it + +Responsibilities + +Il candidato scelto sarà inserito all'interno del Center Of Excellence Informatica parte della practice “Data Intelligence” di NTT DATA Italia. + +Un analista della governance dei dati è specializzato nella gestione dei flussi di informazioni incluse l'integrità, l'efficienza e la disponibilità dei dati. Avrà in compito di confrontarsi con il cliente e gli stakeholder di progetto al fine di indirizzare le giuste scelte tecnologiche e di business in modo da rendere fruibili, validi e facilmente consultabili i dati aziendali. Sarà premiante la conoscenza dell’intera suite di Data Governance dei principali vendor con particolare attenzione alla suite Informatica, ivi compresa la componente di Master Data Management. + +Rientrano Nei Suoi Compiti + + +Analisi dell’ecosistema del cliente, delle best practice e dei modelli di governance in uso; +Analisi dei flussi dei dati tra sistemi; +Supporto al disegno dei flussi tramite soluzioni Informatica, delle regole di qualità e della definizione del Business Glossary e del suo popolamento attraverso gli strumenti di catalogazione, come: +Informatica Axon +Informatica Enterprise Data Catalog (EDC) +Informatica MDM + + + +Required Skills + + +Laurea in discipline tecniche o economiche. +Esperienza di almeno 3 anni nell’ambito di Data Governance. +Profonda conoscenza dei principali strumenti della suite Informatica Axon, EDC, MDM. + + + +Completano Il Profilo + + +Conoscenza di altri prodotti di Data Governance quali Collibra Governance, Talend Data Management Platform, SAS Data Management, etc.. +Capacità di stesura della documentazione in lingua inglese. +Esperienze progettuali con in principali Cloud Provider (AWS, Microsoft Azure, Google Cloud Platform, IBM Cloud) + + + +Location: Milano, Bari, Bologna, Cosenza, Napoli, Roma, Salerno, Torino +Show more ","
+ + + + + +
+
+ NTT DATA, Trusted Global Innovator, è tra i principali player a livello mondiale in ambito IT services.

Con più di 140.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura. Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine.

Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze.

Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento!

www.nttdata.com/it

Responsibilities

Il candidato scelto sarà inserito all'interno del Center Of Excellence Informatica parte della practice “Data Intelligence” di NTT DATA Italia.

Un analista della governance dei dati è specializzato nella gestione dei flussi di informazioni incluse l'integrità, l'efficienza e la disponibilità dei dati. Avrà in compito di confrontarsi con il cliente e gli stakeholder di progetto al fine di indirizzare le giuste scelte tecnologiche e di business in modo da rendere fruibili, validi e facilmente consultabili i dati aziendali. Sarà premiante la conoscenza dell’intera suite di Data Governance dei principali vendor con particolare attenzione alla suite Informatica, ivi compresa la componente di Master Data Management.

Rientrano Nei Suoi Compiti

  • Analisi dell’ecosistema del cliente, delle best practice e dei modelli di governance in uso;
  • Analisi dei flussi dei dati tra sistemi;
  • Supporto al disegno dei flussi tramite soluzioni Informatica, delle regole di qualità e della definizione del Business Glossary e del suo popolamento attraverso gli strumenti di catalogazione, come:
  • Informatica Axon
  • Informatica Enterprise Data Catalog (EDC)
  • Informatica MDM


Required Skills

  • Laurea in discipline tecniche o economiche.
  • Esperienza di almeno 3 anni nell’ambito di Data Governance.
  • Profonda conoscenza dei principali strumenti della suite Informatica Axon, EDC, MDM.


Completano Il Profilo

  • Conoscenza di altri prodotti di Data Governance quali Collibra Governance, Talend Data Management Platform, SAS Data Management, etc..
  • Capacità di stesura della documentazione in lingua inglese.
  • Esperienze progettuali con in principali Cloud Provider (AWS, Microsoft Azure, Google Cloud Platform, IBM Cloud)


Location: Milano, Bari, Bologna, Cosenza, Napoli, Roma, Salerno, Torino +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +4002832778,https://it.linkedin.com/jobs/view/data-marketing-analyst-fixed-term-contract-at-yoox-net-a-porter-4002832778?position=10&pageNum=5&refId=rXNMahlnNonl%2Fb7rsJBymQ%3D%3D&trackingId=fJoG4uSYsJonORjQxFPs%2BA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Marketing Analyst- Fixed Term Contract,YOOX NET-A-PORTER,"Milan, Lombardy, Italy","YOOX NET-A-PORTER GROUP is the world leader in online luxury and fashion that comprises a complete luxury retail ecosystem. The Group sells directly to customers globally through its own family of multi-brand online shops NET-A-PORTER, MR PORTER, YOOX and THE OUTNET. The Group’s Online Flagship Stores Division partners with many leading luxury brands to power their own e-commerce destinations. + +The Group has 4.3 million high-spending active customers globally. As pioneers in bringing together the realms of technology and luxury, YOOX NET-A-PORTER satisfies the most discerning clientele with expertly curated products from the world’s most coveted brands, personalised end-to-end service, the latest technology and inspiring content, all shaped by 20 years of insights into the modern shopper. + +Our Digital Marketing division are now seeking a talented Digital Marketing Analyst to join the team. Some of the essentials for you to know are: + +Location: our office in Milan + +Department Size: 4 (Approx.) + +Reporting into: Analytics & Insights Manager + +Besides a competitive salary, we can offer you: + + + +A pension that both you and the company contribute too +A portal with an array of discounts on things like theme park and cinema tickets +Our famous staff discount along with exclusive staff sales +Private healthcare for you and your family +Flexible working +A chance to be part of a fun and caring team that support each other + + + +Here is a breakdown of what you’ll be doing: + + + +Be the go-to expert for needs on customer insight, customer behaviour and customer base development for your stakeholders. +Understand and analyse commercial and customers KPIs and main drivers. +Guide decisions by providing detailed, action orientated insights, continuously highlighting potential opportunities and risks. +Be experienced in communicating insight, both verbally and via documentation, in the most suitable, comprehensible, and impactful way for your stakeholders. +Develop collaborative relationships with your stakeholders and a deep understanding of their business areas, enabling you to develop hypotheses and make relevant, credible recommendations that flow from your insights. +Guide projects to create statistical model to support and integrate customer and traffic model and to automatize process and reports. + + + +The type of person we are looking for: + + + +Bachelor’s Degree: Statistics, Mathematics, Engineering, Economic +At least 2 years of experience in Analytics Team +Demonstrated analytical experience including familiarity with concepts of forecasting, budgeting and data interpretation and analysis +Intermediate up to advanced proficiency in Excel +Experience performing ad hoc analysis using data reporting tools +Very strong analytics skills +Strong communications and interpersonal skills +Proactive problem-solver +Flexibility to perform in complex business environment. + + + +From the moment you join the YOOX NET-A-PORTER GROUP we are committed to making your journey with us inspirational and evolutionary. If you are passionate, committed and thrive in a collaborative and fast-paced environment, then please apply with a CV. + +YOOX NET-A-PORTER GROUP is an equal opportunities employer, we encourage people with a diverse range of backgrounds to apply. We recognize and celebrate the benefits that diversity brings to our workplace, our business and our customers. We welcome and will consider all applications regardless of race and nationality, religion, color, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any other legally protected characteristics. + +If you require any reasonable adjustments to complete your application, please do not hesitate to advise us accordingly. + +Experience Level: Associate + +Workplace Type: Hybrid +Show more ","
+ + + + + +
+
+ YOOX NET-A-PORTER GROUP is the world leader in online luxury and fashion that comprises a complete luxury retail ecosystem. The Group sells directly to customers globally through its own family of multi-brand online shops NET-A-PORTER, MR PORTER, YOOX and THE OUTNET. The Group’s Online Flagship Stores Division partners with many leading luxury brands to power their own e-commerce destinations.

The Group has 4.3 million high-spending active customers globally. As pioneers in bringing together the realms of technology and luxury, YOOX NET-A-PORTER satisfies the most discerning clientele with expertly curated products from the world’s most coveted brands, personalised end-to-end service, the latest technology and inspiring content, all shaped by 20 years of insights into the modern shopper.

Our Digital Marketing division are now seeking a talented Digital Marketing Analyst to join the team. Some of the essentials for you to know are:

Location: our office in Milan

Department Size: 4 (Approx.)

Reporting into: Analytics & Insights Manager

Besides a competitive salary, we can offer you:


  • A pension that both you and the company contribute too
  • A portal with an array of discounts on things like theme park and cinema tickets
  • Our famous staff discount along with exclusive staff sales
  • Private healthcare for you and your family
  • Flexible working
  • A chance to be part of a fun and caring team that support each other


Here is a breakdown of what you’ll be doing:


  • Be the go-to expert for needs on customer insight, customer behaviour and customer base development for your stakeholders.
  • Understand and analyse commercial and customers KPIs and main drivers.
  • Guide decisions by providing detailed, action orientated insights, continuously highlighting potential opportunities and risks.
  • Be experienced in communicating insight, both verbally and via documentation, in the most suitable, comprehensible, and impactful way for your stakeholders.
  • Develop collaborative relationships with your stakeholders and a deep understanding of their business areas, enabling you to develop hypotheses and make relevant, credible recommendations that flow from your insights.
  • Guide projects to create statistical model to support and integrate customer and traffic model and to automatize process and reports.


The type of person we are looking for:


  • Bachelor’s Degree: Statistics, Mathematics, Engineering, Economic
  • At least 2 years of experience in Analytics Team
  • Demonstrated analytical experience including familiarity with concepts of forecasting, budgeting and data interpretation and analysis
  • Intermediate up to advanced proficiency in Excel
  • Experience performing ad hoc analysis using data reporting tools
  • Very strong analytics skills
  • Strong communications and interpersonal skills
  • Proactive problem-solver
  • Flexibility to perform in complex business environment.


From the moment you join the YOOX NET-A-PORTER GROUP we are committed to making your journey with us inspirational and evolutionary. If you are passionate, committed and thrive in a collaborative and fast-paced environment, then please apply with a CV.

YOOX NET-A-PORTER GROUP is an equal opportunities employer, we encourage people with a diverse range of backgrounds to apply. We recognize and celebrate the benefits that diversity brings to our workplace, our business and our customers. We welcome and will consider all applications regardless of race and nationality, religion, color, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any other legally protected characteristics.

If you require any reasonable adjustments to complete your application, please do not hesitate to advise us accordingly.

Experience Level: Associate

Workplace Type: Hybrid +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-20,[] +3969566890,https://it.linkedin.com/jobs/view/manufacturing-engineering-data-analyst-at-ge-renewable-energy-3969566890?position=1&pageNum=7&refId=rQCeAXkB9cW8MaY1KG9CCA%3D%3D&trackingId=EN9%2FpHjgi5K7kAP6cRhSKQ%3D%3D&trk=public_jobs_jserp-result_search-card,Manufacturing Engineering Data Analyst,GE Renewable Energy,"Sesto San Giovanni, Lombardy, Italy","Role Summary/Purpose + +Job Description Summary Job Description + +Ensure manufacturing data reliability between MES & ERP, analyze & drive productivity improvement (time, methods, direct & indirect costs), support ERP master data + +Main Responsibilities + + +Production Analytics +Collect data and execute routine analyses using vested methods and technologies +Interact with people from the manufacturing departments (production manager, supervisors and operators) +Key User of MES system and interface with global MES support team (in English) +Execute routine and complex analysis to improve and control production KPI as efficiency and leakage +Productivity Improvement +Identify opportunities and lead actions for productivity improvement in terms of output & volumes +Work close to site controller to analyze FPC costs, variances and drive actions for optimization +ERP Master Data +Support Time & Methods dept including ERP master data management + +Qualifications/Requirements + + +University degree i n Management/Industrial Engineering +1-3 years of experience in a similar role +EU Work Permit +English proficiency +Use of Excel + + +Desired Characteristics + + +Strong oral and written communication skills, interpersonal skills +Ability to work independently +Strong analytical and problem solving skills +Team building +SAP PP/CO/MM - desirable +MES systems - desirable + + +Additional Information + +Relocation Assistance Provided: No +Show more ","
+ + + + + +
+
+ Role Summary/Purpose

 Job Description Summary Job Description

Ensure manufacturing data reliability between MES & ERP, analyze & drive productivity improvement (time, methods, direct & indirect costs), support ERP master data

Main Responsibilities

  • Production Analytics
    • Collect data and execute routine analyses using vested methods and technologies
    • Interact with people from the manufacturing departments (production manager, supervisors and operators)
    • Key User of MES system and interface with global MES support team (in English)
    • Execute routine and complex analysis to improve and control production KPI as efficiency and leakage
  • Productivity Improvement
    • Identify opportunities and lead actions for productivity improvement in terms of output & volumes
    • Work close to site controller to analyze FPC costs, variances and drive actions for optimization
  • ERP Master Data
    • Support Time & Methods dept including ERP master data management
Qualifications/Requirements

  • University degree i n Management/Industrial Engineering
  • 1-3 years of experience in a similar role
  • EU Work Permit
  • English proficiency
  • Use of Excel

Desired Characteristics

  • Strong oral and written communication skills, interpersonal skills
  • Ability to work independently
  • Strong analytical and problem solving skills
  • Team building
  • SAP PP/CO/MM - desirable
  • MES systems - desirable

Additional Information

Relocation Assistance Provided: No +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-22,[] +3988474526,https://it.linkedin.com/jobs/view/data-analyst-freelance-p-iva-hybrid-su-vimercate-at-safeguard-global-italy-3988474526?position=2&pageNum=7&refId=rQCeAXkB9cW8MaY1KG9CCA%3D%3D&trackingId=YcYPUYEeYZ73%2BiGt5lP2JA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst -Freelance P.IVA- Hybrid su Vimercate,Safeguard Global Italy,"Milan, Lombardy, Italy","Safeguard Global è una società internazionale attiva sul mercato dal 2008, specializzata in Global Workforce Management operativa in 170 paesi nel mondo, con ad oggi più di 1800 dipendenti. La nostra Vision è Work in Any Way, infatti crediamo che i confini non dovrebbero essere barriere al business o al talento. + +Posizione: + +Siamo alla ricerca di un brillante Data Analyst jr - Digital Analyst - Web Analyst per un importante progetto di refactoring all'interno del settore industry. Il candidato avrà l'opportunità di lavorare con strumenti all'avanguardia come Mixpanel e SalesForce, e avrà un ruolo chiave nell'analisi dei dati, nel troubleshooting e nel testing. + +Responsabilità: + +Estrazione e raccolta di dati da diverse fonti. + +Pulizia dei dati per garantire la loro accuratezza, completezza e uniformità. + +Analisi dei dati per identificare tendenze, anomalie e opportunità di miglioramento. + +Creazione di report e presentazioni per comunicare i risultati delle analisi ai team interni. + +Collaborazione con altri dipartimenti per supportare la raccolta di dati e l'implementazione di soluzioni basate sui dati. + +Requisiti: + +Competenze tecniche richieste: + +Ottima conoscenza di Excel e PowerPoint per l'analisi dei dati e la creazione di presentazioni. + +Buona conoscenza di SQL per l'estrazione e la manipolazione dei dati. + +Buona conoscenza degli strumenti di Data Visualization come Qlik ,Tableau, ecc., per la creazione di dashboard e report interattivi. + +Conoscenza base di Python come ulteriore plus per l'analisi dei dati. + +Capacità di gestire presentazioni e comunicare efficacemente i risultati, + +Fluente italiano e inglese. + +Competenze Funzionali: + +Ottime doti comunicative + +Altre informazioni: + +Se sei un professionista appassionato di analisi dei dati e vuoi fare la differenza in un progetto di grande rilevanza, non esitare a candidarti! + +La sede di lavoro è Vimercate con 2 giorno di presenza alla settimana. I restanti giorni sono in full remote working. + +Il presente annuncio è rivolto a entrambi i sessi, ai sensi delle leggi 903/77 e 125/91, e a persone di tutte le età e tutte le nazionalità, ai sensi dei decreti legislativi 215/03 e 216/03 +Show more ","
+ + + + + +
+
+ Safeguard Global è una società internazionale attiva sul mercato dal 2008, specializzata in Global Workforce Management operativa in 170 paesi nel mondo, con ad oggi più di 1800 dipendenti. La nostra Vision è Work in Any Way, infatti crediamo che i confini non dovrebbero essere barriere al business o al talento.

Posizione:

Siamo alla ricerca di un brillante Data Analyst jr - Digital Analyst - Web Analyst per un importante progetto di refactoring all'interno del settore industry. Il candidato avrà l'opportunità di lavorare con strumenti all'avanguardia come Mixpanel e SalesForce, e avrà un ruolo chiave nell'analisi dei dati, nel troubleshooting e nel testing.

Responsabilità:

Estrazione e raccolta di dati da diverse fonti.

Pulizia dei dati per garantire la loro accuratezza, completezza e uniformità.

Analisi dei dati per identificare tendenze, anomalie e opportunità di miglioramento.

Creazione di report e presentazioni per comunicare i risultati delle analisi ai team interni.

Collaborazione con altri dipartimenti per supportare la raccolta di dati e l'implementazione di soluzioni basate sui dati.

Requisiti:

Competenze tecniche richieste:

Ottima conoscenza di Excel e PowerPoint per l'analisi dei dati e la creazione di presentazioni.

Buona conoscenza di SQL per l'estrazione e la manipolazione dei dati.

Buona conoscenza degli strumenti di Data Visualization come Qlik ,Tableau, ecc., per la creazione di dashboard e report interattivi.

Conoscenza base di Python come ulteriore plus per l'analisi dei dati.

Capacità di gestire presentazioni e comunicare efficacemente i risultati,

Fluente italiano e inglese.

Competenze Funzionali:

Ottime doti comunicative

Altre informazioni:

Se sei un professionista appassionato di analisi dei dati e vuoi fare la differenza in un progetto di grande rilevanza, non esitare a candidarti!

La sede di lavoro è Vimercate con 2 giorno di presenza alla settimana. I restanti giorni sono in full remote working.

Il presente annuncio è rivolto a entrambi i sessi, ai sensi delle leggi 903/77 e 125/91, e a persone di tutte le età e tutte le nazionalità, ai sensi dei decreti legislativi 215/03 e 216/03 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +3775613210,https://it.linkedin.com/jobs/view/junior-data-engineer-at-accenture-italia-3775613210?position=3&pageNum=7&refId=rQCeAXkB9cW8MaY1KG9CCA%3D%3D&trackingId=O6uOW36etAGB%2BfF4TtSong%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Engineer,Accenture Italia,"Assago, Lombardy, Italy","Perché assistere al cambiamento, quando puoi guidarlo? In Accenture, potrai crescere in un ambiente inclusivo e rispettoso della tua unicità e dei tuoi valori, sviluppando le tue abilità con programmi di training continuativi ed esperienziali. Scopri cosa significa lavorare al cuore del cambiamento e accompagna le aziende più importanti nel loro percorso di trasformazione digitale. Il tuo ruolo e le tue prospettive Entra a far parte del nostro network internazionale di talenti Technology in ambito Data & AI. Lavorerai con tecnologie innovative su progetti entusiasmanti, liberando la potenza dei dati e dell'intelligenza artificiale per trasformare i processi di business. In particolare, potrai: + + + +Progettare e implementare modelli di dati specifici che aiutino a prendere decisioni aziendali migliori e più rapide attraverso l’analisi di una combinazione di dati esterni e interni + + +Modellare dati, creare pipeline di dati, implementare data lake, utilizzando framework di programmazione scalabili + + +Implementare procedure statistiche di qualità dei dati sulle sorgenti dati e applicare rigorose analisi iterative per supportare i data scientist nell'approvvigionamento e nella preparazione dei dati per visualizzarli e sintetizzare informazioni generando valore aziendale + + +Definire gli standard di gestione dei dati e delle politiche di gestione, quali, ad esempio, l'anonimizzazione + + + +Se vuoi fare della tua passione una carriera e hai le seguenti caratteristiche, ti stiamo aspettando: + + + +Hai terminato o stai per terminare un percorso di studi in Informatica, Ingegneria, Matematica, Fisica o Statistica + + +Sei creativo, impari in fretta e ami pensare fuori dal coro + + +Sei appassionato e vuoi approfondire tematiche quali: Data Architecture, Data Warehouse, Data Modeling, Data Integration, Data Transformation, Data Visualization, Big Data Technologies (Cloudera, AWS, Azure, Google, Snowflake), Spark, Python, Kafka, etc. + + + +Scopri di più su di noi + +Accenture è un’azienda globale di servizi professionali con capacità avanzate in campo digitale, cloud e security. Combinando un’esperienza unica e competenze specialistiche in più di 40 settori industriali, fornisce servizi in ambito Strategy & Consulting, Technology, Industry X, Operations e Accenture Song, sostenuta dalla più ampia rete di Advanced Technology e Intelligent Operations centers a livello mondiale. + +I nostri 750.000 talenti combinano ogni giorno tecnologia e ingegno umano, servendo clienti in oltre 120 Paesi. + +Se desideri prepararti al meglio al nostro processo di selezione ti invitiamo a consultare la nostra sezione FAQ: https://www.accenture.com/it-it/careers/recruiting-faq-answers + +Policy Qualora il tuo percorso di selezione andasse a buon fine, avrai la possibilità di aderire all’Accordo di smart working, ove compatibile con l’attività svolta, e lavorare da remoto secondo quanto previsto dalle policy aziendali. Per informazioni sulla nostra protezione della privacy art13 L.679/2016 (GDPR) vai su  https://www.accenture.com/it-it/careers/privacy-policy Accenture garantisce le pari opportunità. + + +Show more ","
+ + + + + +
+
+ Perché assistere al cambiamento, quando puoi guidarlo? In Accenture, potrai crescere in un ambiente inclusivo e rispettoso della tua unicità e dei tuoi valori, sviluppando le tue abilità con programmi di training continuativi ed esperienziali. Scopri cosa significa lavorare al cuore del cambiamento e accompagna le aziende più importanti nel loro percorso di trasformazione digitale. Il tuo ruolo e le tue prospettive Entra a far parte del nostro network internazionale di talenti Technology in ambito Data & AI. Lavorerai con tecnologie innovative su progetti entusiasmanti, liberando la potenza dei dati e dell'intelligenza artificiale per trasformare i processi di business. In particolare, potrai:


  • Progettare e implementare modelli di dati specifici che aiutino a prendere decisioni aziendali migliori e più rapide attraverso l’analisi di una combinazione di dati esterni e interni

  • Modellare dati, creare pipeline di dati, implementare data lake, utilizzando framework di programmazione scalabili

  • Implementare procedure statistiche di qualità dei dati sulle sorgenti dati e applicare rigorose analisi iterative per supportare i data scientist nell'approvvigionamento e nella preparazione dei dati per visualizzarli e sintetizzare informazioni generando valore aziendale

  • Definire gli standard di gestione dei dati e delle politiche di gestione, quali, ad esempio, l'anonimizzazione


    • Se vuoi fare della tua passione una carriera e hai le seguenti caratteristiche, ti stiamo aspettando:


  • Hai terminato o stai per terminare un percorso di studi in Informatica, Ingegneria, Matematica, Fisica o Statistica

  • Sei creativo, impari in fretta e ami pensare fuori dal coro

  • Sei appassionato e vuoi approfondire tematiche quali: Data Architecture, Data Warehouse, Data Modeling, Data Integration, Data Transformation, Data Visualization, Big Data Technologies (Cloudera, AWS, Azure, Google, Snowflake), Spark, Python, Kafka, etc.


    • Scopri di più su di noi

    Accenture è un’azienda globale di servizi professionali con capacità avanzate in campo digitale, cloud e security. Combinando un’esperienza unica e competenze specialistiche in più di 40 settori industriali, fornisce servizi in ambito Strategy & Consulting, Technology, Industry X, Operations e Accenture Song, sostenuta dalla più ampia rete di Advanced Technology e Intelligent Operations centers a livello mondiale.

    I nostri 750.000 talenti combinano ogni giorno tecnologia e ingegno umano, servendo clienti in oltre 120 Paesi.

    Se desideri prepararti al meglio al nostro processo di selezione ti invitiamo a consultare la nostra sezione FAQ: https://www.accenture.com/it-it/careers/recruiting-faq-answers

    Policy Qualora il tuo percorso di selezione andasse a buon fine, avrai la possibilità di aderire all’Accordo di smart working, ove compatibile con l’attività svolta, e lavorare da remoto secondo quanto previsto dalle policy aziendali. Per informazioni sulla nostra protezione della privacy art13 L.679/2016 (GDPR) vai su  https://www.accenture.com/it-it/careers/privacy-policy Accenture garantisce le pari opportunità.

     +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3729715033,https://it.linkedin.com/jobs/view/data-engineering-intern-at-arecneprix-3729715033?position=6&pageNum=7&refId=rQCeAXkB9cW8MaY1KG9CCA%3D%3D&trackingId=nStuyWzCWWu8b3hZO%2Fp3ig%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineering Intern,ARECneprix,"Milan, Lombardy, Italy","Entrerai all'interno del team di Analytics & Development che si occupa delle attività di gestione e analisi dei dati. Collaborerai attivamente con il team per progetti legati all'integrazione ottimizzazione e all'arricchimento dei dati con un particolare focus sui big data. Utilizzerai strumenti e framework di Data Management che comprendono quelli per la modellazione l'ELT e Data Quality. Contribuirai nel definire e creare pipeline di dati affidabili e automatizzate per garantire un flusso costante di informazioni verso i nostri sistemi analitici. + +Requirements + + + +Laurea In Informatica o Ingegneria Informatica + +Buone capacità analitiche di comprensione ed identificazione di dati + +Propensione al teamwork e al problem solving + +Ottime capacità relazionali + +Ottima conoscenza della programmazione preferibilmente Python o SQL + +Ottima conoscenza del pacchetto Office (in particolare Excel) + +Inglese buono + +ARECneprix è la nuova Asset & Solutions Structuring Company del Gruppo illimity specializzata nella gestione a 360° di crediti asset e aziende in difficoltà. Gestiamo crediti large mid e granulari oltre che asset immobiliari e strutturiamo operazioni finanziarie complesse coprendo l’intera catena del valore. +Show more ","
    + + + + + +
    +
    + Entrerai all'interno del team di Analytics & Development che si occupa delle attività di gestione e analisi dei dati. Collaborerai attivamente con il team per progetti legati all'integrazione ottimizzazione e all'arricchimento dei dati con un particolare focus sui big data. Utilizzerai strumenti e framework di Data Management che comprendono quelli per la modellazione l'ELT e Data Quality. Contribuirai nel definire e creare pipeline di dati affidabili e automatizzate per garantire un flusso costante di informazioni verso i nostri sistemi analitici.

    Requirements

    Laurea In Informatica o Ingegneria Informatica

    Buone capacità analitiche di comprensione ed identificazione di dati

    Propensione al teamwork e al problem solving

    Ottime capacità relazionali

    Ottima conoscenza della programmazione preferibilmente Python o SQL

    Ottima conoscenza del pacchetto Office (in particolare Excel)

    Inglese buono

    ARECneprix è la nuova Asset & Solutions Structuring Company del Gruppo illimity specializzata nella gestione a 360° di crediti asset e aziende in difficoltà. Gestiamo crediti large mid e granulari oltre che asset immobiliari e strutturiamo operazioni finanziarie complesse coprendo l’intera catena del valore. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-03,[] +3945381926,https://it.linkedin.com/jobs/view/data-analyst-data-governance-specialist-at-allitude-s-p-a-3945381926?position=7&pageNum=7&refId=rQCeAXkB9cW8MaY1KG9CCA%3D%3D&trackingId=tzpgNTroG2%2BzRoGhRMuJ7A%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst & Data Governance Specialist,Allitude S.p.A.,"Milan, Lombardy, Italy","Allitude S.p.a., società del Gruppo Bancario Cooperativo Cassa Centrale Banca specializzata in servizi di sviluppo software, outsourcing informatico e back-office per il Settore bancario, sta selezionando una figura di Data Analyst & Data Governance Specialist da inserire nel team Data Management & Governance, che gestisce i servizi di data modeling & design, Data Integration & interoperability, reference & master data, data quality e Data governance del Gruppo Bancario. + + + + +Sei la persona che stiamo cercando se apprezzi particolarmente il mondo del dato con le relative declinazioni nei contesti di data management. Se sei una persona che ha la conoscenza dei principali aspetti di data governance e che è pronta a declinarli in modo concreto e tramite l’opportuno trade off tra esigenze del business e necessità di mantenere la Data Platform governata e controllata. Sei la persona giusta se non hai paura di “sporcarti” le mani esplorando il dato e studiando le opportune soluzioni tecniche ai problemi che si presentano, ma riuscendo anche a mantenere una visione d’insieme per garantire che il governo del dato end to end sia opportunamente garantito. + +Sei la persona giusta se ti trovi a tuo agio in un contesto in cui occorre consolidare le basi dati esistenti lavorando molto su database relazionali attraverso tecniche di modellazione “classica”, ma anche un contesto in cui si sta guardando alle nuove tecnologie, ai trend emergenti e a un’espansione degli analytics nei prossimi anni. + + + + +Di cosa ti occuperai? + +comprendere a fondo l’architettura dati e relativi data flow; +comprendere a fondo il patrimonio informativo e le varie base dati del Gruppo acquisendone conoscenza a livello di contenuto e significato; +gestione e implementazione logiche di Master e Reference data management; +arricchimento e gestione logiche di metadata management (business glossary e dizionario tecnico); +comprendere i requisiti business relativi a richieste di dati e informazioni e tradurli in un linguaggio più tecnico in coerenza all’architettura dati; +supportare la realizzazione di progetti di change e di evolutive e collaborare anche alla gestione dei processi run; +redigere documentazione sul dato e sui processi di transformation dello stesso; +disegnare modelli dati, redigerne l’opportuna documentazione (e.g. diagrammi entity-relationship) e occuparsi di indirizzare la modellazione fisica degli stessi anche supervisionando un team di collaboratori; +gestire gli strumenti di data governance (data lineage, business glossary, data quality) acquisendone la competenza tecnica anche facendo leva su opportuni collaboratori. + + + + +Le tue caratteristiche principali: + +laurea in discipline tecnico/scientifiche (informatica, ingegneria, matematica, fisica, statistica, …); +conoscenza approfondita dei databases relazionali (con focus particolare su tecnologie Oracle) e dei principali concetti: tabelle, viste, partizioni, indici, procedure, sinonimi; +conoscenza ed esperienza nell’esplorazione e analisi dei dati sui principali databases relazionali (e.g Oracle); +conoscenza avanzata di SQL e conoscenza basic di Python; +conoscenza di tool di versioning del codice (e.g. git) ed esperienza nell’utilizzo; +capacità avanzate nella modellazione dei dati (concettuale, logica e fisica), conoscenza delle forme normali, conoscenza dei diversi tipi di modello dati (esperienza con un qualche tool di data modelling); +conoscenza di fondamenti di data management (DAMA-DMBOK framework) e data governance (Strategie DG, Policies e Standard, Ruoli e organizzazione); +conoscenza di tecniche di ETL/ELT; +esperienze in ambito data governance: data quality, data lineage, data dictionary, etc ..; +esperienza di lavoro in ambito bancario/finanziario con conseguente conoscenza del dominio del dato trattato. + + + + +Costituiscono titolo preferenziale: + +conoscenza ed esperienza su INFORMATICA (EDC, AXON, IDQ e Powercenter); +conoscenza ed esperienza di Python; +esperienza sul mondo Big Data e conoscenza basic di Spark. + + + + +Cosa troverai da noi: + +Entrando in Allitude troverai un'azienda giovane e meritocratica che punta sulla crescita delle persone attraverso la formazione mirata allo sviluppo di hard e soft skill. I neoassunti hanno l’opportunità di partecipare a diverse iniziative volte a sviluppare un mindset innovativo e ad arricchire la conoscenza organizzativa e le competenze trasversali. Avrai la possibilità di lavorare in un’azienda che vanta un forte know how nell’ambito dei servizi bancari e tecnologici derivante dalle conoscenze pregresse delle aziende integrate. Potrai lavorare a progetti che puntano al miglioramento continuo e all'innovazione dei modelli di business delle nostre banche clienti. + + + + +I nostri benefit principali: + +Smartworking +Assicurazione sanitaria +Fondo pensione +Buoni pasto da 8€ al giorno +Premi di risultato +Premi individuali una tantum +Agevolazioni bancarie +Welfare aziendale + + + + +Sede di lavoro: Milano, Trento, Palazzolo S/O (BS), Bologna (modalità ibrida) + +Show more ","
    + + + + + +
    +
    +

    Allitude S.p.a., società del Gruppo Bancario Cooperativo Cassa Centrale Banca specializzata in servizi di sviluppo software, outsourcing informatico e back-office per il Settore bancario, sta selezionando una figura di Data Analyst & Data Governance Specialist da inserire nel team Data Management & Governance, che gestisce i servizi di data modeling & design, Data Integration & interoperability, reference & master data, data quality e Data governance del Gruppo Bancario.


    Sei la persona che stiamo cercando se apprezzi particolarmente il mondo del dato con le relative declinazioni nei contesti di data management. Se sei una persona che ha la conoscenza dei principali aspetti di data governance e che è pronta a declinarli in modo concreto e tramite l’opportuno trade off tra esigenze del business e necessità di mantenere la Data Platform governata e controllata. Sei la persona giusta se non hai paura di “sporcarti” le mani esplorando il dato e studiando le opportune soluzioni tecniche ai problemi che si presentano, ma riuscendo anche a mantenere una visione d’insieme per garantire che il governo del dato end to end sia opportunamente garantito.

    Sei la persona giusta se ti trovi a tuo agio in un contesto in cui occorre consolidare le basi dati esistenti lavorando molto su database relazionali attraverso tecniche di modellazione “classica”, ma anche un contesto in cui si sta guardando alle nuove tecnologie, ai trend emergenti e a un’espansione degli analytics nei prossimi anni.


    Di cosa ti occuperai?

    • comprendere a fondo l’architettura dati e relativi data flow;
    • comprendere a fondo il patrimonio informativo e le varie base dati del Gruppo acquisendone conoscenza a livello di contenuto e significato;
    • gestione e implementazione logiche di Master e Reference data management;
    • arricchimento e gestione logiche di metadata management (business glossary e dizionario tecnico);
    • comprendere i requisiti business relativi a richieste di dati e informazioni e tradurli in un linguaggio più tecnico in coerenza all’architettura dati;
    • supportare la realizzazione di progetti di change e di evolutive e collaborare anche alla gestione dei processi run;
    • redigere documentazione sul dato e sui processi di transformation dello stesso;
    • disegnare modelli dati, redigerne l’opportuna documentazione (e.g. diagrammi entity-relationship) e occuparsi di indirizzare la modellazione fisica degli stessi anche supervisionando un team di collaboratori;
    • gestire gli strumenti di data governance (data lineage, business glossary, data quality) acquisendone la competenza tecnica anche facendo leva su opportuni collaboratori.


    Le tue caratteristiche principali:

    • laurea in discipline tecnico/scientifiche (informatica, ingegneria, matematica, fisica, statistica, …);
    • conoscenza approfondita dei databases relazionali (con focus particolare su tecnologie Oracle) e dei principali concetti: tabelle, viste, partizioni, indici, procedure, sinonimi;
    • conoscenza ed esperienza nell’esplorazione e analisi dei dati sui principali databases relazionali (e.g Oracle);
    • conoscenza avanzata di SQL e conoscenza basic di Python;
    • conoscenza di tool di versioning del codice (e.g. git) ed esperienza nell’utilizzo;
    • capacità avanzate nella modellazione dei dati (concettuale, logica e fisica), conoscenza delle forme normali, conoscenza dei diversi tipi di modello dati (esperienza con un qualche tool di data modelling);
    • conoscenza di fondamenti di data management (DAMA-DMBOK framework) e data governance (Strategie DG, Policies e Standard, Ruoli e organizzazione);
    • conoscenza di tecniche di ETL/ELT;
    • esperienze in ambito data governance: data quality, data lineage, data dictionary, etc ..;
    • esperienza di lavoro in ambito bancario/finanziario con conseguente conoscenza del dominio del dato trattato.


    Costituiscono titolo preferenziale:

    • conoscenza ed esperienza su INFORMATICA (EDC, AXON, IDQ e Powercenter);
    • conoscenza ed esperienza di Python;
    • esperienza sul mondo Big Data e conoscenza basic di Spark.


    Cosa troverai da noi:

    Entrando in Allitude troverai un'azienda giovane e meritocratica che punta sulla crescita delle persone attraverso la formazione mirata allo sviluppo di hard e soft skill. I neoassunti hanno l’opportunità di partecipare a diverse iniziative volte a sviluppare un mindset innovativo e ad arricchire la conoscenza organizzativa e le competenze trasversali. Avrai la possibilità di lavorare in un’azienda che vanta un forte know how nell’ambito dei servizi bancari e tecnologici derivante dalle conoscenze pregresse delle aziende integrate. Potrai lavorare a progetti che puntano al miglioramento continuo e all'innovazione dei modelli di business delle nostre banche clienti.


    I nostri benefit principali:

    • Smartworking
    • Assicurazione sanitaria
    • Fondo pensione
    • Buoni pasto da 8€ al giorno
    • Premi di risultato
    • Premi individuali una tantum
    • Agevolazioni bancarie
    • Welfare aziendale


    Sede di lavoro: Milano, Trento, Palazzolo S/O (BS), Bologna (modalità ibrida)

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-26,[] +3977724928,https://be.linkedin.com/jobs/view/data-analyst-intern-at-levi-strauss-co-3977724928?position=1&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=KOqf5mr6XL8WlFROfguDUw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst Intern,Levi Strauss & Co.,"Zaventem, Flemish Region, Belgium","Job Description + +We believe that clothes — and how you make them — can make a difference. + +Since 1853, we’ve been passionate about innovation to meet people’s needs. We invented the first blue jean. And we reinvented khaki pants. We pioneered labor and environmental guidelines for our manufacturing partners. And we work to build sustainability into everything we do. + +A company doesn’t last 160 years by standing still. It endures by reinventing itself, striving to delight its consumers, winning in the marketplace, and by remaining true to its values. We employ more than 17,000 people around the world – supporting great brands, including Levi’s®, Dockers® and Denizen®. Our employees are committed to progress, authenticity and collaboration. + +We're seeking for a motivated, data-driven Intern to join us at the Analytics team in Brussels for our Merchandising Planning and Inventory Management (MPIM) Department. + +About The Job + + +Being point of contact for analytics and data inquiries +Creating data pipelines, dashboards and reports for use across Europe’s business +Cooperating with cross-functional partners to reach resolutions on data topics and build data products +Performing data wrangling and exploration in support of predictive modelling +Providing assistance to the extended team + + +About You + + +You have excellent analytical and communication/presentation skills +You hold a Degree in Statistics / Mathematics / Engineering / Operational research / Econometrics +You have knowledge in SQL and/or R/Python +Self-motivated, problem solver, team player +Organized with meticulous attention to detail, ability to prioritize work to meet deadlines +You are flexible and able to perform in a fast-paced environment +Comfortable learning new tools. (Dataiku, Tableau, Excel, SAS etc.) + + +Start date: Asap for 6 months renewable. + +What We Offer + + +Great work experience in an international, energetic and fun environment +Great opportunity to work for the world’s number one denim brand +Great compensation + + +LOCATION + +Zaventem, Belgium + +FULL TIME/PART TIME + +Full time + +Current LS&Co Employees, apply via your Workday account. +Show more ","
    + + + + + +
    +
    + Job Description

    We believe that clothes — and how you make them — can make a difference.

    Since 1853, we’ve been passionate about innovation to meet people’s needs. We invented the first blue jean. And we reinvented khaki pants. We pioneered labor and environmental guidelines for our manufacturing partners. And we work to build sustainability into everything we do.

    A company doesn’t last 160 years by standing still. It endures by reinventing itself, striving to delight its consumers, winning in the marketplace, and by remaining true to its values. We employ more than 17,000 people around the world – supporting great brands, including Levi’s®, Dockers® and Denizen®. Our employees are committed to progress, authenticity and collaboration.

    We're seeking for a motivated, data-driven Intern to join us at the Analytics team in Brussels for our Merchandising Planning and Inventory Management (MPIM) Department.

    About The Job

    • Being point of contact for analytics and data inquiries
    • Creating data pipelines, dashboards and reports for use across Europe’s business
    • Cooperating with cross-functional partners to reach resolutions on data topics and build data products
    • Performing data wrangling and exploration in support of predictive modelling
    • Providing assistance to the extended team

    About You

    • You have excellent analytical and communication/presentation skills
    • You hold a Degree in Statistics / Mathematics / Engineering / Operational research / Econometrics
    • You have knowledge in SQL and/or R/Python
    • Self-motivated, problem solver, team player
    • Organized with meticulous attention to detail, ability to prioritize work to meet deadlines
    • You are flexible and able to perform in a fast-paced environment
    • Comfortable learning new tools. (Dataiku, Tableau, Excel, SAS etc.)

    Start date: Asap for 6 months renewable.

    What We Offer

    • Great work experience in an international, energetic and fun environment
    • Great opportunity to work for the world’s number one denim brand
    • Great compensation

    LOCATION

    Zaventem, Belgium

    FULL TIME/PART TIME

    Full time

    Current LS&Co Employees, apply via your Workday account. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-10,[] +3982419612,https://be.linkedin.com/jobs/view/data-analyst-at-randstad-digital-belgium-3982419612?position=3&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=Ec3JLOZLE%2BCMB1vvPIzWPA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Randstad Digital Belgium,"Brussels, Brussels Region, Belgium","Data Analyst/data engineer + +Our organisation is gaining maturity at the level of data management, data engineering and BI reporting. An experienced Data Analyst/Data engineer is needed in this context. + +Main focus will be to support business in the creation & documentation of various reporting and dashboards (Payment transactions, Accounting, KYC, Logistics...). + +The analyst will also have the opportunity to take part in some business and functional analyses activities. + + + + +As a Data Analyst/Data Engineer (s)he should be able to : + +Communicate efficiently with business departments to gather, understand and translate business needs into clear requirements. +Get a clear view of all the data sources and data available +Identify which data are required to build the expected extraction and reporting +Collect and integrate data and perform data preparation and transformations in a secure manner, in order to produce reusable key data sets +Use these key data sets to produce reportings and analysis for our internal customers as well as regulatory reportings +Create clear documentation on the data collection and transformations + + + + +For this, you should be able to : + +Build reports via Salesforce reporting module and/or build dashboards via Tableau or Power BI. +Create insights and do storytelling +Export, merge and transform data with Power Query in case the data have not been integrated yet ; data security by design is key ! +Ensure data quality by implementing controls on the imported and produced data. +Discover trends and insights that could bring value to the business. +Organise and document functionally implemented data integrations and reports + + + + +requirements + +Fluently in Dutch, French & English + + + + +Required experience and knowledge Solid practical experience as a data engineer of at least 5 years is needed in the activities listed on the Function Description for which resource needs to take the lead. + + + + +You have a solid IT background and know all about data modelling, data documentation, data collecting and transforming and GDPR/data protection, building good data structures. + +You've worked in a BI context previously (Accounting, Billing, payment transaction, terminal management environment), capturing and delivering data in a structured manner, with reusable key data sets. You have developed dashboards and reportings. You know do's and don'ts to build such deliverables. + + + + +Technical skills: + +Good experience with IT activities (data models, API, data manipulation and transformation (doc included) +Excel (PowerPivot, PowerQuery...) ; Experience with market ETL/ELT tools is an advantage. +Salesforce reporting / Salesforce analytic Studio +Tableau dashboarding +Modelling technique (UML...) + +Show more ","
    + + + + + +
    +
    +

    Data Analyst/data engineer

    Our organisation is gaining maturity at the level of data management, data engineering and BI reporting. An experienced Data Analyst/Data engineer is needed in this context.

    Main focus will be to support business in the creation & documentation of various reporting and dashboards (Payment transactions, Accounting, KYC, Logistics...).

    The analyst will also have the opportunity to take part in some business and functional analyses activities.


    As a Data Analyst/Data Engineer (s)he should be able to :

    • Communicate efficiently with business departments to gather, understand and translate business needs into clear requirements.
    • Get a clear view of all the data sources and data available
    • Identify which data are required to build the expected extraction and reporting
    • Collect and integrate data and perform data preparation and transformations in a secure manner, in order to produce reusable key data sets
    • Use these key data sets to produce reportings and analysis for our internal customers as well as regulatory reportings
    • Create clear documentation on the data collection and transformations


    For this, you should be able to :

    • Build reports via Salesforce reporting module and/or build dashboards via Tableau or Power BI.
    • Create insights and do storytelling
    • Export, merge and transform data with Power Query in case the data have not been integrated yet ; data security by design is key !
    • Ensure data quality by implementing controls on the imported and produced data.
    • Discover trends and insights that could bring value to the business.
    • Organise and document functionally implemented data integrations and reports


    requirements

    Fluently in Dutch, French & English


    Required experience and knowledge Solid practical experience as a data engineer of at least 5 years is needed in the activities listed on the Function Description for which resource needs to take the lead.


    You have a solid IT background and know all about data modelling, data documentation, data collecting and transforming and GDPR/data protection, building good data structures.

    You've worked in a BI context previously (Accounting, Billing, payment transaction, terminal management environment), capturing and delivering data in a structured manner, with reusable key data sets. You have developed dashboards and reportings. You know do's and don'ts to build such deliverables.


    Technical skills:

    • Good experience with IT activities (data models, API, data manipulation and transformation (doc included)
    • Excel (PowerPivot, PowerQuery...) ; Experience with market ETL/ELT tools is an advantage.
    • Salesforce reporting / Salesforce analytic Studio
    • Tableau dashboarding
    • Modelling technique (UML...)

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3997303941,https://be.linkedin.com/jobs/view/data-analyst-at-vivid-resourcing-3997303941?position=4&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=I4IsRjymRPHnJs3xYnuVAg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Vivid Resourcing,"Brussels, Brussels Region, Belgium","As a Data Analyst, you will play a pivotal role in shaping our data strategy and ensuring the successful implementation of our data initiatives. You will be responsible for analysing complex datasets, providing actionable insights and reports, and contributing to the development of our data platform. Your technical aptitude, curiosity, and autonomy will be essential as you collaborate with cross-functional teams to drive data-driven decision-making. + +As we embark on an exciting journey to create a robust data service, establish comprehensive data governance, and develop an innovative data platform! + + + + +Key Responsibilities + +Analyse large datasets to extract meaningful insights and trends that support business objectives. +Develop and maintain dashboards, reports, and visualizations to communicate data findings to stakeholders. +Collaborate with data engineers to design and implement data pipelines and ELT processes. +Participate in the creation and enhancement of our data platform, ensuring it meets the needs of various business units. +Provide technical expertise and support in data modelling, data integration, and data warehousing. +Work closely with stakeholders to understand their data needs and provide solutions that drive business value. + + + + +About YOU + +More than 3 years of significant experience as a Data Analyst, preferably in a Startup or a software company. +Strong proficiency in data analysis tools and languages (e.g., SQL, Python, R). +Familiarity with data visualization tools (e.g., Qlik, Power BI). +Excellent problem-solving skills and attention to detail. +Ability to work autonomously and manage multiple tasks simultaneously. +Curiosity and a passion for leveraging data to drive business outcomes. +Show more ","
    + + + + + +
    +
    +

    As a Data Analyst, you will play a pivotal role in shaping our data strategy and ensuring the successful implementation of our data initiatives. You will be responsible for analysing complex datasets, providing actionable insights and reports, and contributing to the development of our data platform. Your technical aptitude, curiosity, and autonomy will be essential as you collaborate with cross-functional teams to drive data-driven decision-making.

    As we embark on an exciting journey to create a robust data service, establish comprehensive data governance, and develop an innovative data platform!


    Key Responsibilities

    • Analyse large datasets to extract meaningful insights and trends that support business objectives.
    • Develop and maintain dashboards, reports, and visualizations to communicate data findings to stakeholders.
    • Collaborate with data engineers to design and implement data pipelines and ELT processes.
    • Participate in the creation and enhancement of our data platform, ensuring it meets the needs of various business units.
    • Provide technical expertise and support in data modelling, data integration, and data warehousing.
    • Work closely with stakeholders to understand their data needs and provide solutions that drive business value.


    About YOU

    • More than 3 years of significant experience as a Data Analyst, preferably in a Startup or a software company.
    • Strong proficiency in data analysis tools and languages (e.g., SQL, Python, R).
    • Familiarity with data visualization tools (e.g., Qlik, Power BI).
    • Excellent problem-solving skills and attention to detail.
    • Ability to work autonomously and manage multiple tasks simultaneously.
    • Curiosity and a passion for leveraging data to drive business outcomes.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +4002690247,https://be.linkedin.com/jobs/view/data-analyst-at-it-international-mobility-4002690247?position=5&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=IurJWaMednqZql8VxHP3xw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,IT International Mobility,"Brussels Region, Belgium","Founded in 2005 in Lisbon by three visionary entrepreneurs, MoOngy quickly became a leading group in Engineering and Information Technology (IT) across Europe and North Africa. Today, with a presence in 14 countries and more than 40 subsidiary companies, MoOngy employs over 9,500 talents who share a common passion for innovation and excellence. + +The International Mobility Recruitment Department is dedicated to enhancing the mobility of IT professionals throughout Europe, facilitating the placement of talents in the various markets where it operates. + + + + +Position: Data Analyst + +Location: Belgium + +Type: Hybrid + + + + +Power Skills: + +You are ready to work on global projects and contribute to digital transformation across various industries; +You wish to expand your career beyond national borders and you are ready for an European adventure; +You want to be part of a global community of innovators. + + + + +Technical and Soft Skills: + + + + +We are currently seeking a skilled and experienced Data Analyst with expertise in PowerBI, Python, and Data Bases (SQL). As a Data Analyst, you will be responsible for analyzing complex datasets, creating visualizations, and generating insights to support data-driven decision making within our organization. You will work closely with stakeholders from various departments to understand their data needs and provide them with relevant analysis and reports. The ideal candidate is detail-oriented, proficient in data manipulation and analysis, and has a strong understanding of database concepts and data visualization techniques. + + + + +Responsibilities + +Conduct data analysis using various tools and techniques, including PowerBI, Python, and SQL +Develop and implement data models and databases to support data analysis and reporting +Collaborate with stakeholders to understand their data needs and provide them with timely and accurate analysis and reports +Identify trends and patterns in data and provide insights and recommendations based on analysis +Cleanse and transform data to ensure accuracy and consistency +Develop and maintain dashboards and reports to visualize and communicate data findings +Stay updated with the latest industry trends and advancements in data analysis and visualization techniques + + + + +Requirements + +Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Economics +Proven experience as a Data Analyst, preferably in a similar industry +Proficiency in PowerBI, Python, and SQL for data analysis and visualization +Strong knowledge of database concepts and ability to work with large datasets +Familiarity with data modeling and database design principles +Excellent analytical and problem-solving skills +Strong attention to detail and ability to work with minimal supervision +Excellent communication and interpersonal skills, with the ability to present complex ideas in a clear and concise manner +Fluent inEnglish is mandatory +Fluency in French (C2 level) or Dutch (C1 level) is mandatory +Candidates must be in Europe already + + + + +Advantages of joining MoOngy: + +International Mobility: Access to a dedicated international mobility department with personalized relocation programs to facilitate your move to a new country. + +Career Development: Opportunities to work on projects with cutting-edge technologies in different countries and various sectors. + +Continuous Learning: Access to ongoing and free training and career-oriented certifications. + +Personal Growth: Exchange of ideas and best practices among professionals across Europe, fostering creativity and innovation in IT. + +Global Citizen in the World of Technology: Opportunity to work in a global network of companies, with access to a wide range of challenging projects in different European markets. + + + + +@MoOngy Group we stand for equality and value diversity. We create a safe, diverse environment where opportunities are equal for everyone! We do not discriminate based on age, ethnicity, sexual orientation, gender, disability, or any factor other than merit. All applications with skills needed for the position are welcome! + +Show more ","
    + + + + + +
    +
    +

    Founded in 2005 in Lisbon by three visionary entrepreneurs, MoOngy quickly became a leading group in Engineering and Information Technology (IT) across Europe and North Africa. Today, with a presence in 14 countries and more than 40 subsidiary companies, MoOngy employs over 9,500 talents who share a common passion for innovation and excellence.

    The International Mobility Recruitment Department is dedicated to enhancing the mobility of IT professionals throughout Europe, facilitating the placement of talents in the various markets where it operates.


    Position: Data Analyst

    Location: Belgium

    Type: Hybrid


    Power Skills:

    • You are ready to work on global projects and contribute to digital transformation across various industries;
    • You wish to expand your career beyond national borders and you are ready for an European adventure;
    • You want to be part of a global community of innovators.


    Technical and Soft Skills:


    We are currently seeking a skilled and experienced Data Analyst with expertise in PowerBI, Python, and Data Bases (SQL). As a Data Analyst, you will be responsible for analyzing complex datasets, creating visualizations, and generating insights to support data-driven decision making within our organization. You will work closely with stakeholders from various departments to understand their data needs and provide them with relevant analysis and reports. The ideal candidate is detail-oriented, proficient in data manipulation and analysis, and has a strong understanding of database concepts and data visualization techniques.


    Responsibilities

    • Conduct data analysis using various tools and techniques, including PowerBI, Python, and SQL
    • Develop and implement data models and databases to support data analysis and reporting
    • Collaborate with stakeholders to understand their data needs and provide them with timely and accurate analysis and reports
    • Identify trends and patterns in data and provide insights and recommendations based on analysis
    • Cleanse and transform data to ensure accuracy and consistency
    • Develop and maintain dashboards and reports to visualize and communicate data findings
    • Stay updated with the latest industry trends and advancements in data analysis and visualization techniques


    Requirements

    • Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Economics
    • Proven experience as a Data Analyst, preferably in a similar industry
    • Proficiency in PowerBI, Python, and SQL for data analysis and visualization
    • Strong knowledge of database concepts and ability to work with large datasets
    • Familiarity with data modeling and database design principles
    • Excellent analytical and problem-solving skills
    • Strong attention to detail and ability to work with minimal supervision
    • Excellent communication and interpersonal skills, with the ability to present complex ideas in a clear and concise manner
    • Fluent inEnglish is mandatory
    • Fluency in French (C2 level) or Dutch (C1 level) is mandatory
    • Candidates must be in Europe already


    Advantages of joining MoOngy:

    International Mobility: Access to a dedicated international mobility department with personalized relocation programs to facilitate your move to a new country.

    Career Development: Opportunities to work on projects with cutting-edge technologies in different countries and various sectors.

    Continuous Learning: Access to ongoing and free training and career-oriented certifications.

    Personal Growth: Exchange of ideas and best practices among professionals across Europe, fostering creativity and innovation in IT.

    Global Citizen in the World of Technology: Opportunity to work in a global network of companies, with access to a wide range of challenging projects in different European markets.


    @MoOngy Group we stand for equality and value diversity. We create a safe, diverse environment where opportunities are equal for everyone! We do not discriminate based on age, ethnicity, sexual orientation, gender, disability, or any factor other than merit. All applications with skills needed for the position are welcome!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4000224443,https://www.linkedin.com/jobs/view/data-analyst-at-revpanda-4000224443?position=6&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=vSkZSaq3la21ZelreKkGXg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Revpanda,European Union,"We are seeking a skilled Data Analyst to join Revpanda. + +The ideal candidate will be responsible for analyzing and interpreting data related to revenue, client, player behavior, registrations, FTD (First-Time Depositors), payback, and marketing efforts. Your insights will support strategic decisions and optimize our marketing and operational strategies. + + + + + + + +Responsibilities: + +Data Collection & Analysis: Gather, process, and analyze data from various sources, including player behavior, registration, FTD, payback, and marketing and financial campaigns. +Reporting & Dashboards: Develop and maintain comprehensive dashboards and reports to monitor key performance indicators (KPIs) and business metrics. +Insights & Recommendations: Identify trends, patterns, and anomalies in the data, providing actionable insights and recommendations to improve business outcomes. +Collaboration: Work closely with marketing, product development, and operational teams to understand their data needs and deliver relevant insights. +Market Analysis: Conduct market and competitor analysis to identify opportunities for growth and optimization. +Data Integrity: Ensure data accuracy and integrity through regular data quality checks and validation processes. +Visualization: Create clear and effective data visualizations to communicate complex data insights to non-technical stakeholders. + + + + + + + +Requirements: + +Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field. +Proven experience as a Data Analyst, preferably in the iGaming, digital marketing, or related industries. +Proficiency in data analysis tools and software such as SQL, Excel, Looker Studio, Power BI, or similar. +Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. +Experience with statistical analysis and data visualization techniques. +Familiarity with digital marketing metrics and iGaming industry trends. +Excellent communication skills with the ability to present complex data insights in a clear and concise manner. +Strong problem-solving skills and the ability to think critically and strategically. +Ability to work independently and as part of a team in a fast-paced environment. + + + + +Preferred Qualifications: + +Knowledge of web analytics tools (e.g., Google Analytics). +Experience with A/B testing and data-driven experimentation. + + + + +What we offer: + +Friendly and supportive colleagues +Diverse opportunities for professional growth and career development +Possibility to take part in international conferences and online courses +Competitive salary +Birthday day off +""Refer a friend"" bonus +Corporate events +LinkedIn Learning complimentary access + +Show more ","
    + + + + + +
    +
    +

    We are seeking a skilled Data Analyst to join Revpanda.

    The ideal candidate will be responsible for analyzing and interpreting data related to revenue, client, player behavior, registrations, FTD (First-Time Depositors), payback, and marketing efforts. Your insights will support strategic decisions and optimize our marketing and operational strategies.



    Responsibilities:

    • Data Collection & Analysis: Gather, process, and analyze data from various sources, including player behavior, registration, FTD, payback, and marketing and financial campaigns.
    • Reporting & Dashboards: Develop and maintain comprehensive dashboards and reports to monitor key performance indicators (KPIs) and business metrics.
    • Insights & Recommendations: Identify trends, patterns, and anomalies in the data, providing actionable insights and recommendations to improve business outcomes.
    • Collaboration: Work closely with marketing, product development, and operational teams to understand their data needs and deliver relevant insights.
    • Market Analysis: Conduct market and competitor analysis to identify opportunities for growth and optimization.
    • Data Integrity: Ensure data accuracy and integrity through regular data quality checks and validation processes.
    • Visualization: Create clear and effective data visualizations to communicate complex data insights to non-technical stakeholders.



    Requirements:

    • Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
    • Proven experience as a Data Analyst, preferably in the iGaming, digital marketing, or related industries.
    • Proficiency in data analysis tools and software such as SQL, Excel, Looker Studio, Power BI, or similar.
    • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
    • Experience with statistical analysis and data visualization techniques.
    • Familiarity with digital marketing metrics and iGaming industry trends.
    • Excellent communication skills with the ability to present complex data insights in a clear and concise manner.
    • Strong problem-solving skills and the ability to think critically and strategically.
    • Ability to work independently and as part of a team in a fast-paced environment.


    Preferred Qualifications:

    • Knowledge of web analytics tools (e.g., Google Analytics).
    • Experience with A/B testing and data-driven experimentation.


    What we offer:

    • Friendly and supportive colleagues
    • Diverse opportunities for professional growth and career development
    • Possibility to take part in international conferences and online courses
    • Competitive salary
    • Birthday day off
    • ""Refer a friend"" bonus
    • Corporate events
    • LinkedIn Learning complimentary access

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3994868946,https://be.linkedin.com/jobs/view/data-analyst-at-planet-pharma-3994868946?position=9&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=DuE%2F1gS0DmE%2BR1A4oo3COw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Planet Pharma,Belgium,"Our client is a global European HQ'd biotech that has grown 90% in the past two years and has seen huge success with recent launches - their stocks/shares have absolutely rocketed as a result. + + + + +They are looking for a Subject Matter Expert (Data Analytics) to join their Business Information Systems team. Within this role you will be working in close collaboration with Quality and Regulatory teams, understanding, anticipating and influencing the demand for services and translating requirements into efficient and harmonised solutions. You would be working with Snowflake, Veeva and Matilion so need strong experience with these tools/systems. + +Show more ","
    + + + + + +
    +
    +

    Our client is a global European HQ'd biotech that has grown 90% in the past two years and has seen huge success with recent launches - their stocks/shares have absolutely rocketed as a result.


    They are looking for a Subject Matter Expert (Data Analytics) to join their Business Information Systems team. Within this role you will be working in close collaboration with Quality and Regulatory teams, understanding, anticipating and influencing the demand for services and translating requirements into efficient and harmonised solutions. You would be working with Snowflake, Veeva and Matilion so need strong experience with these tools/systems.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3536410480,https://be.linkedin.com/jobs/view/data-analyst-at-nexeo-3536410480?position=10&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=tcDckyH%2Bvm6RiBn6YqyQVw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Nexeo,Brussels Metropolitan Area,"Nexeo is currently looking for a Data Analyst (Freelance or permanent) for a market leader in the banking industry in Belgium. + + + + +Nexeo Belgium is a consultancy company that supports its clients in the banking, finance and insurance sectors in all phases of their transformation projects: from business consulting to the implementation of IT solutions.  + + + + +As a consultant you will have the opportunity to be part of Nexeo: + +International environment ( Offices in France, Belgium, Luxembourg, Switzerland & Canada) ++ 450 employees +over 20% growth each year + + + + +The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.  + +  + +Responsibilities + +Understand the day-to-day issues that the bank faces +Performs cleansing of data quality issues through the analysi +Monitors the data quality based on data quality dashboards, supports redesign & upgrade +Contributes to designing, monitoring and reporting on common reference tools +Contributes to raising awareness of the importance of data quality +Will be involved in all the topics related to Customer Data +Business Analysis +Work in collaboration with other technical teams to share data +Data extraction with SAS +Industrialize the process to run define periodicity +Document the project (functional and technical part) +Contribute to the achievement of the team objectives + + + + +Qualifications + +Bachelor's or Master's degree +At least 3 years of experience in Data Analysis (focus data quality & data governance) +Understand data lifecycle and data usage +Working in Agile environnement (Jira & Scrum) +Good experience working with SQL Queries & SAS +English Fluent & French or Dutch native +Show more ","
    + + + + + +
    +
    +

    Nexeo is currently looking for a Data Analyst (Freelance or permanent) for a market leader in the banking industry in Belgium.


    Nexeo Belgium is a consultancy company that supports its clients in the banking, finance and insurance sectors in all phases of their transformation projects: from business consulting to the implementation of IT solutions. 


    As a consultant you will have the opportunity to be part of Nexeo:

    • International environment ( Offices in France, Belgium, Luxembourg, Switzerland & Canada)
    • + 450 employees
    • over 20% growth each year


    The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. 

     

    Responsibilities

    • Understand the day-to-day issues that the bank faces
    • Performs cleansing of data quality issues through the analysi
    • Monitors the data quality based on data quality dashboards, supports redesign & upgrade
    • Contributes to designing, monitoring and reporting on common reference tools
    • Contributes to raising awareness of the importance of data quality
    • Will be involved in all the topics related to Customer Data
    • Business Analysis
    • Work in collaboration with other technical teams to share data
    • Data extraction with SAS
    • Industrialize the process to run define periodicity
    • Document the project (functional and technical part)
    • Contribute to the achievement of the team objectives


    Qualifications

    • Bachelor's or Master's degree
    • At least 3 years of experience in Data Analysis (focus data quality & data governance)
    • Understand data lifecycle and data usage
    • Working in Agile environnement (Jira & Scrum)
    • Good experience working with SQL Queries & SAS
    • English Fluent & French or Dutch native
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +3993754637,https://be.linkedin.com/jobs/view/deals-data-analyst-at-pwc-belgium-3993754637?position=11&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=xjJL1L%2BjAMo0J%2BlLUTOUQA%3D%3D&trk=public_jobs_jserp-result_search-card,Deals Data Analyst,PwC Belgium,"Brussels, Brussels Region, Belgium","Line of Service + +Advisory + +Industry/Sector + +Not Applicable + +Specialism + +Data Analytics + +Management Level + +Associate + +Job Description & Summary + +Leading with heart, living by values + +PwC Advisory is a garden of possibilities, and you’re reaping the rewards. Where you want to make an impact is always up to you. With the full support of our Advisory teams, you’ll delve into the inner workings of companies to find the best solutions for any challenge they might have. From the excitement of deals to the complexities of consulting and the fascinating realm of risks and threats in forensics, you’ll help clients nurture trust and maintain their evolutionary edge, today and into the future. Now that’s making a difference. + +Are you passionate about Mergers & Acquisitions (M&A) and the data that drives business decisions? Do you want to transform business data into meaningful insights? If so, PwC's Deal Analytics team is the place for you! + +In the dynamic world of M&A, data is a vital source of value creation. However, many companies struggle to leverage it effectively. This is where PwC’s Deal Analytics team excels. We harness data to provide critical insights for buyers and sellers, enhancing their understanding of historical performance and uncovering new opportunities. As a data analyst, you will be at the heart of that, engaging in a wide array of tasks: + +What you will learn and do + + +Execute on exciting projects: +Harness the power of data and analytics to create (or break) a compelling story around a target business; +Unlock value potential after a deal; +Liaise with clients, advisors and/or other PwC teams to provide robust, data-driven insights (e.g. into business and value drivers) +Work across the entire data-lifecycle: +Extract, transform and load (ETL) client and alternative data using a variety of tools; +Automate manual processes to boost efficiency. +Utilize tools like Alteryx, R, or Python to conduct complex analyses +Create insightful visualizations using e.g. Power BI +Help our Deals Analytics team to further grow: +Coordinate our intern(s) and/or remote teams; +Contribute to development of new services; by building Proof-of-Concept solutions using new technology and techniques; +Be a digital accelerator for the broader Deals practice + + +Who You Are, What You’re Like + + +Earned a degree in a technology-related program, mathematics, statistics, civil or business engineering. +Worked as a data analyst/ data scientist/data engineer or BI-consultant/developer in a similar consulting environment with at least 1 year of relevant experience. +Possess an analytical mind with strong business acumen. +Skilled in communicating complex analyses effectively to diverse audiences. +Fluency in English; ideally also in Dutch and/or French. +Knowledgeable in basic financial, accounting, and commercial principles. +Experience in working a range of data tools like: +Visualization tools such as Power BI, Tableau or equivalent; +ETL-tools such as Alteryx or equivalent; +R, Python or other scripting tools (with advanced analytical capabilities); +Excel, Power Tools + + +Life at PwC Belgium + +Our culture and workplace are something we’re proud of. Here’s a sneak peek at some of the benefits you can look forward to. + + +Flexibility: flexible working hours so you can decide your most effective working pattern. +Infinite learning and growing: broad opportunities to learn every day and exciting career pathways that help you explore different disciplines or areas of expertise. +Rewards that matter to you: a flexible rewards plan gives you access to a wide range of benefits so you can make the choices that best fit your personal circumstances and lifestyle. +Diversity & inclusion: we believe that diversity makes PwC stronger. It helps us solve important problems and deliver added value to our clients. We encourage an inclusive culture where people can be the best versions of themselves. We organise various D&I initiatives, including an active employee-led Employee Resource Group (ERG) community, comprising 9 diversity groups with over 200 PwC employees aiming to make an impact within and beyond PwC. +A sustainable mobility offer: we offer a comprehensive mobility budget with a wide range of options (hybrid and electric cars, bike leasing, mobility card or loan reimbursement). +Well-being: an extensive health and well-being programme that includes access to professional sport coaching, individual sessions, sports communities and mental health resources. We encourage a healthy lifestyle with regular wellness challenges and various catering options at our cafeteria. +Team events such as Last Friday Drinks, quarterly themed parties, team-building days and celebrations, as well as time spent on community days and charity activities. +International PwC network: broad access to industry expertise, both locally and through our wider global network of member firms. +Supporting you in every phase of your life, including family friendly work schemes. + + +Looking for a career where you’ll really make a difference? Then we look forward to meeting you! + +Education (if blank, degree and/or field of study not specified) + +Degrees/Field of Study required: + +Degrees/Field of Study preferred: + +Certifications (if blank, certifications not specified) + +Required Skills + +Data Analysis, Data Analytics, Data Engineering + +Optional Skills + +Desired Languages (If blank, desired languages not specified) + +Travel Requirements + +Not Specified + +Available for Work Visa Sponsorship? + +No + +Government Clearance Required? + +No + +Job Posting End Date +Show more ","
    + + + + + +
    +
    + Line of Service

    Advisory

    Industry/Sector

    Not Applicable

    Specialism

    Data Analytics

    Management Level

    Associate

    Job Description & Summary

    Leading with heart, living by values

    PwC Advisory is a garden of possibilities, and you’re reaping the rewards. Where you want to make an impact is always up to you. With the full support of our Advisory teams, you’ll delve into the inner workings of companies to find the best solutions for any challenge they might have. From the excitement of deals to the complexities of consulting and the fascinating realm of risks and threats in forensics, you’ll help clients nurture trust and maintain their evolutionary edge, today and into the future. Now that’s making a difference.

    Are you passionate about Mergers & Acquisitions (M&A) and the data that drives business decisions? Do you want to transform business data into meaningful insights? If so, PwC's Deal Analytics team is the place for you!

    In the dynamic world of M&A, data is a vital source of value creation. However, many companies struggle to leverage it effectively. This is where PwC’s Deal Analytics team excels. We harness data to provide critical insights for buyers and sellers, enhancing their understanding of historical performance and uncovering new opportunities. As a data analyst, you will be at the heart of that, engaging in a wide array of tasks:

    What you will learn and do

    • Execute on exciting projects:
      • Harness the power of data and analytics to create (or break) a compelling story around a target business;
      • Unlock value potential after a deal;
      • Liaise with clients, advisors and/or other PwC teams to provide robust, data-driven insights (e.g. into business and value drivers)
    • Work across the entire data-lifecycle:
      • Extract, transform and load (ETL) client and alternative data using a variety of tools;
      • Automate manual processes to boost efficiency.
      • Utilize tools like Alteryx, R, or Python to conduct complex analyses
      • Create insightful visualizations using e.g. Power BI
    • Help our Deals Analytics team to further grow:
      • Coordinate our intern(s) and/or remote teams;
      • Contribute to development of new services; by building Proof-of-Concept solutions using new technology and techniques;
      • Be a digital accelerator for the broader Deals practice

    Who You Are, What You’re Like

    • Earned a degree in a technology-related program, mathematics, statistics, civil or business engineering.
    • Worked as a data analyst/ data scientist/data engineer or BI-consultant/developer in a similar consulting environment with at least 1 year of relevant experience.
    • Possess an analytical mind with strong business acumen.
    • Skilled in communicating complex analyses effectively to diverse audiences.
    • Fluency in English; ideally also in Dutch and/or French.
    • Knowledgeable in basic financial, accounting, and commercial principles.
    • Experience in working a range of data tools like:
      • Visualization tools such as Power BI, Tableau or equivalent;
      • ETL-tools such as Alteryx or equivalent;
      • R, Python or other scripting tools (with advanced analytical capabilities);
      • Excel, Power Tools

    Life at PwC Belgium

    Our culture and workplace are something we’re proud of. Here’s a sneak peek at some of the benefits you can look forward to.

    • Flexibility: flexible working hours so you can decide your most effective working pattern.
    • Infinite learning and growing: broad opportunities to learn every day and exciting career pathways that help you explore different disciplines or areas of expertise.
    • Rewards that matter to you: a flexible rewards plan gives you access to a wide range of benefits so you can make the choices that best fit your personal circumstances and lifestyle.
    • Diversity & inclusion: we believe that diversity makes PwC stronger. It helps us solve important problems and deliver added value to our clients. We encourage an inclusive culture where people can be the best versions of themselves. We organise various D&I initiatives, including an active employee-led Employee Resource Group (ERG) community, comprising 9 diversity groups with over 200 PwC employees aiming to make an impact within and beyond PwC.
    • A sustainable mobility offer: we offer a comprehensive mobility budget with a wide range of options (hybrid and electric cars, bike leasing, mobility card or loan reimbursement).
    • Well-being: an extensive health and well-being programme that includes access to professional sport coaching, individual sessions, sports communities and mental health resources. We encourage a healthy lifestyle with regular wellness challenges and various catering options at our cafeteria.
    • Team events such as Last Friday Drinks, quarterly themed parties, team-building days and celebrations, as well as time spent on community days and charity activities.
    • International PwC network: broad access to industry expertise, both locally and through our wider global network of member firms.
    • Supporting you in every phase of your life, including family friendly work schemes.

    Looking for a career where you’ll really make a difference? Then we look forward to meeting you!

    Education (if blank, degree and/or field of study not specified)

    Degrees/Field of Study required:

    Degrees/Field of Study preferred:

    Certifications (if blank, certifications not specified)

    Required Skills

    Data Analysis, Data Analytics, Data Engineering

    Optional Skills

    Desired Languages (If blank, desired languages not specified)

    Travel Requirements

    Not Specified

    Available for Work Visa Sponsorship?

    No

    Government Clearance Required?

    No

    Job Posting End Date +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +4002790864,https://www.linkedin.com/jobs/view/sports-data-analyst-at-patrianna-4002790864?position=12&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=ANqRCCvl%2B5Y2oUmoaQ%2BDbA%3D%3D&trk=public_jobs_jserp-result_search-card,Sports Data Analyst,Patrianna,European Union,"We are seeking a skilled and inquisitive Business Analyst with strong SQL knowledge and previous experience in gaming with heavy focus on sport. Must have experience with reporting tools like Tableau, PowerBI, or Looker. The ideal candidate will demonstrate curiosity, attention to detail, analytical thinking, and strong collaboration skills. Python skills are a plus for this role. + +The candidate will work closely with our casino team to create dashboards and produce meaningful insights through data analysis. + + + + +Responsibilities: + +Collaborate with the casino team to understand their business objectives, define key performance indicators (KPIs), and prioritize dashboard enhancements. +Develop and maintain SQL queries to extract and manipulate data from various databases and sources. +Design, develop, and maintain interactive dashboards and reports using Tableau, Looker, or similar reporting tools. +Validate data integrity, ensure data accuracy, and provide insights and recommendations based on data analysis. +Maintain and optimize existing dashboards and reports, in addition to creating new ones. + + + + +Requirements: + +Experience in the gaming industry, particularly within Casino and Sports. +Strong SQL skills for querying and manipulating databases. +Experience in data analytics and visualization tools, such as Tableau or PowerBI. +Strong analytical and problem-solving skills with exceptional attention to detail. +Excellent collaboration and communication skills. +Python or any other Programming Language skills are a plus. +Show more ","
    + + + + + +
    +
    +

    We are seeking a skilled and inquisitive Business Analyst with strong SQL knowledge and previous experience in gaming with heavy focus on sport. Must have experience with reporting tools like Tableau, PowerBI, or Looker. The ideal candidate will demonstrate curiosity, attention to detail, analytical thinking, and strong collaboration skills. Python skills are a plus for this role.

    The candidate will work closely with our casino team to create dashboards and produce meaningful insights through data analysis.


    Responsibilities:

    • Collaborate with the casino team to understand their business objectives, define key performance indicators (KPIs), and prioritize dashboard enhancements.
    • Develop and maintain SQL queries to extract and manipulate data from various databases and sources.
    • Design, develop, and maintain interactive dashboards and reports using Tableau, Looker, or similar reporting tools.
    • Validate data integrity, ensure data accuracy, and provide insights and recommendations based on data analysis.
    • Maintain and optimize existing dashboards and reports, in addition to creating new ones.


    Requirements:

    • Experience in the gaming industry, particularly within Casino and Sports.
    • Strong SQL skills for querying and manipulating databases.
    • Experience in data analytics and visualization tools, such as Tableau or PowerBI.
    • Strong analytical and problem-solving skills with exceptional attention to detail.
    • Excellent collaboration and communication skills.
    • Python or any other Programming Language skills are a plus.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3982028705,https://be.linkedin.com/jobs/view/business-data-analyst-at-voo-3982028705?position=15&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=K7di6QzWZETVDiLD9DLoLg%3D%3D&trk=public_jobs_jserp-result_search-card,Business Data Analyst,VOO,"Brussels, Brussels Region, Belgium","In this role, you will be in charge of the creation and maintenance of KPI’s, reporting and dashboards, facilitating the steering of the Infrastructure activities, as well as of detailed data analysis and the presentation of the corresponding quantitative and qualitative conclusions. + + + + +Your responsibilities: + +Identify and inventorize the data sources for the Infrastructure department, validate the data consistency and identity the necessary and potential improvements +Identify and define the KPI’s to be measured based on the requests and needs of the Teams within the Infrastructure department, the operational processes and own expertise within the domain. +Develop the steering KPI’s and create / manage dashboards which integrate those KPI’s and enable an efficient monitoring and steering of the Infrastructure dep. activities, and be proactive / force of proposal on new reporting perspectives and data cross-referencing to provide the Infrastructure dep. with alternative view on performance +Analyze the trend evolutions through dashboards as well as performing ‘ad hoc’ analyses on specific topics, potentially by compiling / cross-referencing Infrastructure data with other data sources. +Synthesize and present the dashboards and the results of specific analyses together with the corresponding quantitative and qualitative conclusions in a clear manner adapted to the audience. +Reporting project management: planning creation and management, drive the different project phases through collaboration with internal / external stakeholders & experts, communication of the progress / challenges / mitigations, and internal / external quality control after the move to production. +Contribute to transversal projects touching Infrastructure dep. as expert / interface of Infrastructure data management and reporting to ensure the consideration of Infrastructure dep.’s needs and the respect for Infrastructure dep.’s essential KPI’s. + + + + +Your profile: + +University degree +3 years of experience in a similar position +Dashboarding / reporting expertise +Data analysis and data management expertise +Mastery of IT tools linked to data extraction, data manipulation and data analysis +Interest in numbers (reports and KPIs), proactivity, excellent communication skills +Fluent French and a good level of English + + + + +What we offer: + +A dynamic working environment where you have every opportunity for personal development. Moreover, you can look forward to the following compensation and benefits package: a market competitive salary, a company car, performance bonus, meal vouchers, 32 holidays per year, pension provision, life assurance and accident cover, and medical insurance. + + + + +Inspired? Then we would like to hear from you! If there’s a match in the making, we’ll invite you for a first interview. + +Show more ","
    + + + + + +
    +
    +

    In this role, you will be in charge of the creation and maintenance of KPI’s, reporting and dashboards, facilitating the steering of the Infrastructure activities, as well as of detailed data analysis and the presentation of the corresponding quantitative and qualitative conclusions.


    Your responsibilities:

    • Identify and inventorize the data sources for the Infrastructure department, validate the data consistency and identity the necessary and potential improvements
    • Identify and define the KPI’s to be measured based on the requests and needs of the Teams within the Infrastructure department, the operational processes and own expertise within the domain.
    • Develop the steering KPI’s and create / manage dashboards which integrate those KPI’s and enable an efficient monitoring and steering of the Infrastructure dep. activities, and be proactive / force of proposal on new reporting perspectives and data cross-referencing to provide the Infrastructure dep. with alternative view on performance
    • Analyze the trend evolutions through dashboards as well as performing ‘ad hoc’ analyses on specific topics, potentially by compiling / cross-referencing Infrastructure data with other data sources.
    • Synthesize and present the dashboards and the results of specific analyses together with the corresponding quantitative and qualitative conclusions in a clear manner adapted to the audience.
    • Reporting project management: planning creation and management, drive the different project phases through collaboration with internal / external stakeholders & experts, communication of the progress / challenges / mitigations, and internal / external quality control after the move to production.
    • Contribute to transversal projects touching Infrastructure dep. as expert / interface of Infrastructure data management and reporting to ensure the consideration of Infrastructure dep.’s needs and the respect for Infrastructure dep.’s essential KPI’s.


    Your profile:

    • University degree
    • 3 years of experience in a similar position
    • Dashboarding / reporting expertise
    • Data analysis and data management expertise
    • Mastery of IT tools linked to data extraction, data manipulation and data analysis
    • Interest in numbers (reports and KPIs), proactivity, excellent communication skills
    • Fluent French and a good level of English


    What we offer:

    A dynamic working environment where you have every opportunity for personal development. Moreover, you can look forward to the following compensation and benefits package: a market competitive salary, a company car, performance bonus, meal vouchers, 32 holidays per year, pension provision, life assurance and accident cover, and medical insurance.


    Inspired? Then we would like to hear from you! If there’s a match in the making, we’ll invite you for a first interview.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-25,[] +3967538977,https://be.linkedin.com/jobs/view/data-insights-analyst-at-telenet-3967538977?position=16&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=B6DiztghEpBTUeeyA89cxw%3D%3D&trk=public_jobs_jserp-result_search-card,Data & Insights Analyst,Telenet,"Mechelen, Flemish Region, Belgium","You’ll be part of the Strategy team, working closely with senior management and focusing on the business lines of Telenet, BASE, and Tadaam for both segments: a) residential and b) SOHO (small office home office). + + + + +Here are some key points about the role: + +Your tasks as a Data & Insights Analyst + +Identify & Prioritize Insights: Work with business unit’s facilitators and senior management to determine key insights and reporting needs. +Build & Communicate Dashboards: Create and share KPI dashboards that map business unit’s performance. +Recommend Improvements: Proactively suggest areas for performance enhancement. +Collaborate on Deep Dives: Work with Data & Insights specialists to synthesize complex insights into actionable recommendations. +Monitor Business Planning: Assist with budget and forecast updates, creating insights with business stakeholders. +Support Colleagues: Help business colleagues with self-service tools. + + + + +What we have to offer + +Strategic Department: Gain a broad view of strategic projects and P&Ls. +Personal Development: Opportunities for internal mobility and extensive learning opportunities. Along with chance to press the pause button after a while or take another path. +Work-Life Balance: A supportive environment that adapts to your needs. +Financial incentives: A competitive gross monthly salary that we complement with a lot of fringe benefits (meal vouchers, cell phone, option for a car, hospitalization insurance, telephone subscription, discounts on Telenet products, possibility to work from home,.). + +It’s a dynamic and fast-paced environment where you can grow and make a significant impact. Does this role align with what you’re looking for in your next career move? + + + + +Our ideal D&I Analyst has … + +Minimum 2-3 years' experience as a data or business analyst or similar roles +Master's degree in an economic, technical or economic field (Commercial Engineering, Applied Economics, Computer Science, Digital...) or similar experience +Excellent presentation and storytelling skills. We value different points of view. +Strong analytical & result oriented skills +Can naturally assume problem solving thinking and has great impact on decision makers +Knowledge and experience in telecom, media or consulting or similar industries is a plus + + + + +Apply? Good idea! + +Fancy a job with content and variety? Become D&I Analyst at Telenet. Apply now! + +Show more ","
    + + + + + +
    +
    +

    You’ll be part of the Strategy team, working closely with senior management and focusing on the business lines of Telenet, BASE, and Tadaam for both segments: a) residential and b) SOHO (small office home office).


    Here are some key points about the role:

    Your tasks as a Data & Insights Analyst

    • Identify & Prioritize Insights: Work with business unit’s facilitators and senior management to determine key insights and reporting needs.
    • Build & Communicate Dashboards: Create and share KPI dashboards that map business unit’s performance.
    • Recommend Improvements: Proactively suggest areas for performance enhancement.
    • Collaborate on Deep Dives: Work with Data & Insights specialists to synthesize complex insights into actionable recommendations.
    • Monitor Business Planning: Assist with budget and forecast updates, creating insights with business stakeholders.
    • Support Colleagues: Help business colleagues with self-service tools.


    What we have to offer

    • Strategic Department: Gain a broad view of strategic projects and P&Ls.
    • Personal Development: Opportunities for internal mobility and extensive learning opportunities. Along with chance to press the pause button after a while or take another path.
    • Work-Life Balance: A supportive environment that adapts to your needs.
    • Financial incentives: A competitive gross monthly salary that we complement with a lot of fringe benefits (meal vouchers, cell phone, option for a car, hospitalization insurance, telephone subscription, discounts on Telenet products, possibility to work from home,.).

    It’s a dynamic and fast-paced environment where you can grow and make a significant impact. Does this role align with what you’re looking for in your next career move?


    Our ideal D&I Analyst has …

    • Minimum 2-3 years' experience as a data or business analyst or similar roles
    • Master's degree in an economic, technical or economic field (Commercial Engineering, Applied Economics, Computer Science, Digital...) or similar experience
    • Excellent presentation and storytelling skills. We value different points of view.
    • Strong analytical & result oriented skills
    • Can naturally assume problem solving thinking and has great impact on decision makers
    • Knowledge and experience in telecom, media or consulting or similar industries is a plus


    Apply? Good idea!

    Fancy a job with content and variety? Become D&I Analyst at Telenet. Apply now!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3992168947,https://be.linkedin.com/jobs/view/data-analyst-at-bmw-group-3992168947?position=17&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=gE8U5CJupOGEtmp7ZmSYEQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,BMW Group,"Bornem, Flemish Region, Belgium","Wil jij een cruciale rol spelen in het optimaliseren van data-gedreven besluitvorming binnen BMW Financial Services ? Als Data Analyst ben jij verantwoordelijk voor het implementeren van geavanceerde data- en informatiemanagement oplossingen. Je visualiseert data met krachtige tools, genereert waardevolle inzichten en ondersteunt de business bij het nemen van data-gedreven beslissingen. + + + + +Met jouw sterke analytische vaardigheden, technische kennis en communicatieve talent, ben jij de ideale kandidaat om ons team te versterken. Solliciteer nu en maak het verschil! + + + + +Wat doe je als Data Analyst? + +Je implementeert geavanceerde data- en informatiemanagement oplossingen, met als doel het gebruik van rapportages, informatie en data in het hele bedrijf te optimaliseren. +Je stemt de implementatie van nieuwe bedrijfsoplosssing af met interne stakeholders. +Je waarborgt de kwaliteit van de data d.m.v. data testings en een optimaal data quality beleid. +Je visualiseert data met krachtige tools als Tableau (of Power BI). +Je zorgt voor waardevolle zakelijke inzichten door data-analyse en -modellering. +Je ondersteunt de organisatie bij het nemen van data-gedreven beslissingen. +Je treedt op als oplossingsarchitect op het gebied van interactieve rapportage en analyse. +Je maakt gebruik van bestaande systemen en functionaliteiten en stimuleert tegelijkertijd verdere innovatie. +Je ondersteunt de continue ontwikkeling van het rapportage- en analyselandschap en helpt bij de toepassing van AI en Machine Learning. + + + + +Waarmee kan je ons team versterken? + +Je beschikt over sterke organisatorische, analytische en communicatieve vaardigheden. +Je kan je bevindingen en technische concepten op een vlotte, effectieve manier presenteren en overbrengen. +Je bent leergierig en vindt het belangrijk om nieuwe informatie en vaardigheden te leren, op te nemen en toe te passen. +Je hebt ervaring opgebouwd in data-analyse en data quality management. +Kennis van Microsoft Office-toepassingen. +Kennis van SQL en Tableau (of Power BI). +Kennis van DW-concepten, -processen en -methodologie. +Kennis van collaboration tools zoals Confluence en Agile tools zoals Jira +Je bent vloeiend in het Nederlands en het Engels, zowel gesproken als geschreven. + + + + +What's in it for you? + +Als je bij ons opstart, kom je terecht bij een premium speler met een internationaal en innovatief karakter. We zetten sterk in op doorgroeimogelijkheden en helpen onze werknemers mee te groeien met onze onderneming door een aangepast opleidingsaanbod te voorzien. + + + + +We kiezen voor een hybride, flexibele manier van werken, waarbij we kantoordagen afwisselen met thuiswerkdagen. Zo heb je de mogelijkheid als fulltime medewerker om twee dagen per week van thuis uit te werken. + + + + +Daarnaast bieden wij een aantrekkelijk én gepersonaliseerd loonpakket aan dankzij ons Flex Income Plan. Hierin bepaal je zelf welke loonelementen je wenst op te nemen, zoals bijvoorbeeld een lease-auto of -fiets, extra vakantiedagen, multimedia... Verder geniet je van tal van extralegale voordelen zoals o.a. maaltijdcheques, een hospitalisatieverzekering en een groepsverzekering. + +Show more ","
    + + + + + +
    +
    +

    Wil jij een cruciale rol spelen in het optimaliseren van data-gedreven besluitvorming binnen BMW Financial Services ? Als Data Analyst ben jij verantwoordelijk voor het implementeren van geavanceerde data- en informatiemanagement oplossingen. Je visualiseert data met krachtige tools, genereert waardevolle inzichten en ondersteunt de business bij het nemen van data-gedreven beslissingen.


    Met jouw sterke analytische vaardigheden, technische kennis en communicatieve talent, ben jij de ideale kandidaat om ons team te versterken. Solliciteer nu en maak het verschil!


    Wat doe je als Data Analyst?

    • Je implementeert geavanceerde data- en informatiemanagement oplossingen, met als doel het gebruik van rapportages, informatie en data in het hele bedrijf te optimaliseren.
    • Je stemt de implementatie van nieuwe bedrijfsoplosssing af met interne stakeholders.
    • Je waarborgt de kwaliteit van de data d.m.v. data testings en een optimaal data quality beleid.
    • Je visualiseert data met krachtige tools als Tableau (of Power BI).
    • Je zorgt voor waardevolle zakelijke inzichten door data-analyse en -modellering.
    • Je ondersteunt de organisatie bij het nemen van data-gedreven beslissingen.
    • Je treedt op als oplossingsarchitect op het gebied van interactieve rapportage en analyse.
    • Je maakt gebruik van bestaande systemen en functionaliteiten en stimuleert tegelijkertijd verdere innovatie.
    • Je ondersteunt de continue ontwikkeling van het rapportage- en analyselandschap en helpt bij de toepassing van AI en Machine Learning.


    Waarmee kan je ons team versterken?

    • Je beschikt over sterke organisatorische, analytische en communicatieve vaardigheden.
    • Je kan je bevindingen en technische concepten op een vlotte, effectieve manier presenteren en overbrengen.
    • Je bent leergierig en vindt het belangrijk om nieuwe informatie en vaardigheden te leren, op te nemen en toe te passen.
    • Je hebt ervaring opgebouwd in data-analyse en data quality management.
    • Kennis van Microsoft Office-toepassingen.
    • Kennis van SQL en Tableau (of Power BI).
    • Kennis van DW-concepten, -processen en -methodologie.
    • Kennis van collaboration tools zoals Confluence en Agile tools zoals Jira
    • Je bent vloeiend in het Nederlands en het Engels, zowel gesproken als geschreven.


    What's in it for you?

    Als je bij ons opstart, kom je terecht bij een premium speler met een internationaal en innovatief karakter. We zetten sterk in op doorgroeimogelijkheden en helpen onze werknemers mee te groeien met onze onderneming door een aangepast opleidingsaanbod te voorzien.


    We kiezen voor een hybride, flexibele manier van werken, waarbij we kantoordagen afwisselen met thuiswerkdagen. Zo heb je de mogelijkheid als fulltime medewerker om twee dagen per week van thuis uit te werken.


    Daarnaast bieden wij een aantrekkelijk én gepersonaliseerd loonpakket aan dankzij ons Flex Income Plan. Hierin bepaal je zelf welke loonelementen je wenst op te nemen, zoals bijvoorbeeld een lease-auto of -fiets, extra vakantiedagen, multimedia... Verder geniet je van tal van extralegale voordelen zoals o.a. maaltijdcheques, een hospitalisatieverzekering en een groepsverzekering.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +3995791634,https://be.linkedin.com/jobs/view/ev-data-analyst-business-intelligence-specialist-h-f-x-at-totalenergies-3995791634?position=18&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=om3ky2%2F8e2mEkRz3RzycWA%3D%3D&trk=public_jobs_jserp-result_search-card,EV Data Analyst Business Intelligence Specialist (H/F/X),TotalEnergies,Brussels Metropolitan Area,"Profil du candidat + + +Langues : Français Néerlandais. L'anglais est un plus. +Master académique ou équivalent par l'expérience professionnelle (science des données, statistiques, ingénierie, informatique). +Solide expérience analytique/mathématique avec une grande attention aux détails. +Expérience en gestion/analyse/science des données. +Résolveur de problèmes indépendant ; agile et pragmatique. +Solides compétences organisationnelles. Bonne capacité à effectuer plusieurs tâches à la fois. +Capacité à communiquer clairement des informations sur les données (y compris la capacité à structurer des présentations de gestion). +Ne pas avoir peur de plonger dans les modèles statistiques, la modélisation prédictive, les algorithmes de classification, les arbres de décision, le clustering, etc. +Affinité avec les opérations commerciales. +Volonté d'évoluer dans un environnement en constante évolution. + + + +Activités + +Coordonner la collecte, l'agrégation, le traitement, l'analyse et le support des données : + + +Construire, exploiter et maintenir la plateforme/environnement Power BI (et sa connexion à l'entrepôt de données de TotalEnergies). +Concevoir et créer des tableaux de bord d'analyse de données et des modèles statistiques pour aider l'équipe EV à gérer les ventes, les opérations, le sourcing, les projets, etc. +Développer des modèles de prévision et d'analyse de localisation pour l'expansion du réseau de recharge (semi)public. +Développer et soutenir l'échange de données vers et depuis les applications/outils EV et les systèmes ERP pertinents (externes). +Agir en tant que contributeur clé de l'équipe Solutions pour les solutions innovantes axées sur les données (par exemple, la recharge intelligente, la maintenance prédictive, etc.) +Agir en tant qu'expert de première ligne en matière d'analyse de données et d'outils pour l'équipe chargée de la recharge des véhicules électriques. +Collecte, agrégation, synthèse et intégration des données externes du marché des VE + + + +Responsable des rapports, du soutien au contrôle de gestion et de la fourniture de données à des tiers : + + +Fournisseur clé de données sur le réseau de recharge (performance et déploiement) à la direction pour la prise de décisions stratégiques. +Mise en place, suivi et enrichissement des données de performance clés. +Collaborer avec l'équipe des opérations pour identifier les problèmes opérationnels. +Collaborer avec l'équipe de contrôle de gestion pour structurer les résultats à partager avec la direction. +Collaborer avec l'équipe Solutions pour les développements matériels et logiciels. +Assurer la liaison avec les fournisseurs informatiques internes et externes et le département informatique de TotalEnergies sur les projets de données et signaler les déviations et les opportunités. +Suivre et étudier activement les tendances du marché des VE et partager les informations pertinentes avec l'organisation et la direction. + + + +Contexte et environnement + +TotalEnergies Charging Solutions Belgium est une filiale essentielle pour soutenir TotalEnergies dans son engagement pour une meilleure énergie. Ce jeune département se développe rapidement pour répondre à l'énorme transition en cours, et est donc en constante évolution. TSCB est donc la recherche d’un.e : + +EV Data Analyst Business Intelligence Specialist (H/F/X) +Show more ","
    + + + + + +
    +
    + Profil du candidat

    • Langues : Français Néerlandais. L'anglais est un plus.
    • Master académique ou équivalent par l'expérience professionnelle (science des données, statistiques, ingénierie, informatique).
    • Solide expérience analytique/mathématique avec une grande attention aux détails.
    • Expérience en gestion/analyse/science des données.
    • Résolveur de problèmes indépendant ; agile et pragmatique.
    • Solides compétences organisationnelles. Bonne capacité à effectuer plusieurs tâches à la fois.
    • Capacité à communiquer clairement des informations sur les données (y compris la capacité à structurer des présentations de gestion).
    • Ne pas avoir peur de plonger dans les modèles statistiques, la modélisation prédictive, les algorithmes de classification, les arbres de décision, le clustering, etc.
    • Affinité avec les opérations commerciales.
    • Volonté d'évoluer dans un environnement en constante évolution.


    Activités

    Coordonner la collecte, l'agrégation, le traitement, l'analyse et le support des données :

    • Construire, exploiter et maintenir la plateforme/environnement Power BI (et sa connexion à l'entrepôt de données de TotalEnergies).
    • Concevoir et créer des tableaux de bord d'analyse de données et des modèles statistiques pour aider l'équipe EV à gérer les ventes, les opérations, le sourcing, les projets, etc.
    • Développer des modèles de prévision et d'analyse de localisation pour l'expansion du réseau de recharge (semi)public.
    • Développer et soutenir l'échange de données vers et depuis les applications/outils EV et les systèmes ERP pertinents (externes).
    • Agir en tant que contributeur clé de l'équipe Solutions pour les solutions innovantes axées sur les données (par exemple, la recharge intelligente, la maintenance prédictive, etc.)
    • Agir en tant qu'expert de première ligne en matière d'analyse de données et d'outils pour l'équipe chargée de la recharge des véhicules électriques.
    • Collecte, agrégation, synthèse et intégration des données externes du marché des VE


    Responsable des rapports, du soutien au contrôle de gestion et de la fourniture de données à des tiers :

    • Fournisseur clé de données sur le réseau de recharge (performance et déploiement) à la direction pour la prise de décisions stratégiques.
    • Mise en place, suivi et enrichissement des données de performance clés.
    • Collaborer avec l'équipe des opérations pour identifier les problèmes opérationnels.
    • Collaborer avec l'équipe de contrôle de gestion pour structurer les résultats à partager avec la direction.
    • Collaborer avec l'équipe Solutions pour les développements matériels et logiciels.
    • Assurer la liaison avec les fournisseurs informatiques internes et externes et le département informatique de TotalEnergies sur les projets de données et signaler les déviations et les opportunités.
    • Suivre et étudier activement les tendances du marché des VE et partager les informations pertinentes avec l'organisation et la direction.


    Contexte et environnement

    TotalEnergies Charging Solutions Belgium est une filiale essentielle pour soutenir TotalEnergies dans son engagement pour une meilleure énergie. Ce jeune département se développe rapidement pour répondre à l'énorme transition en cours, et est donc en constante évolution. TSCB est donc la recherche d’un.e :

    EV Data Analyst Business Intelligence Specialist (H/F/X) +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3990232113,https://be.linkedin.com/jobs/view/data-analyst-at-innovex-recruitment-3990232113?position=21&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=uI%2BWFGfEFy3PHYLs1MvoaQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Innovex Recruitment,Brussels Metropolitan Area,"This is a remote position. + +Freelance job for a French / Duch speaking Data Analyst in Belgium. 12 month contract + +Job Overview: We are seeking a skilled Data Analyst with proficiency in SAS and Azure to join our dynamic team. The ideal candidate will have a strong analytical background, excellent problem-solving skills, and the ability to leverage data to inform business decisions. This role involves working with cross-functional teams to collect, process, and analyze data, ensuring accuracy and integrity, and developing insights that drive strategic initiatives. + +Key Responsibilities: + + +Extract, clean, and analyze large datasets using SAS. +Develop, implement, and maintain data models, reports, and dashboards in Azure. +Collaborate with business units to identify data needs and provide actionable insights. +Ensure data integrity and consistency across various data sources. +Perform statistical analysis and predictive modeling to support business objectives. +Create and maintain documentation for data processes, analysis methodologies, and reporting. +Support ad-hoc data requests and projects as needed. +Continuously improve data collection and analysis processes. + + +Qualifications: + + +Bachelor’s degree in Data Science, Statistics, Computer Science, Information Technology, or a related field. +Proven experience as a Data Analyst or similar role. +Strong proficiency in SAS for data manipulation, analysis, and reporting. +Experience with Azure data services (Azure Data Factory, Azure SQL Database, Azure Databricks, etc.). +Solid understanding of data modeling, data warehousing, and ETL processes. +Proficiency in SQL for querying databases. +Familiarity with data visualization tools (Power BI, Tableau, etc.). +Excellent problem-solving skills and attention to detail. +Strong communication skills, with the ability to present complex data findings in a clear and concise manner. +Ability to work independently and collaboratively in a fast-paced environment. + + +Preferred Qualifications: + + +Master’s degree in a related field. +Experience with additional programming languages such as Python or R. +Knowledge of machine learning algorithms and techniques. +Certification in SAS and/or Azure. +Show more ","
    + + + + + +
    +
    + This is a remote position.

    Freelance job for a French / Duch speaking Data Analyst in Belgium. 12 month contract

    Job Overview: We are seeking a skilled Data Analyst with proficiency in SAS and Azure to join our dynamic team. The ideal candidate will have a strong analytical background, excellent problem-solving skills, and the ability to leverage data to inform business decisions. This role involves working with cross-functional teams to collect, process, and analyze data, ensuring accuracy and integrity, and developing insights that drive strategic initiatives.

    Key Responsibilities:

    • Extract, clean, and analyze large datasets using SAS.
    • Develop, implement, and maintain data models, reports, and dashboards in Azure.
    • Collaborate with business units to identify data needs and provide actionable insights.
    • Ensure data integrity and consistency across various data sources.
    • Perform statistical analysis and predictive modeling to support business objectives.
    • Create and maintain documentation for data processes, analysis methodologies, and reporting.
    • Support ad-hoc data requests and projects as needed.
    • Continuously improve data collection and analysis processes.

    Qualifications:

    • Bachelor’s degree in Data Science, Statistics, Computer Science, Information Technology, or a related field.
    • Proven experience as a Data Analyst or similar role.
    • Strong proficiency in SAS for data manipulation, analysis, and reporting.
    • Experience with Azure data services (Azure Data Factory, Azure SQL Database, Azure Databricks, etc.).
    • Solid understanding of data modeling, data warehousing, and ETL processes.
    • Proficiency in SQL for querying databases.
    • Familiarity with data visualization tools (Power BI, Tableau, etc.).
    • Excellent problem-solving skills and attention to detail.
    • Strong communication skills, with the ability to present complex data findings in a clear and concise manner.
    • Ability to work independently and collaboratively in a fast-paced environment.

    Preferred Qualifications:

    • Master’s degree in a related field.
    • Experience with additional programming languages such as Python or R.
    • Knowledge of machine learning algorithms and techniques.
    • Certification in SAS and/or Azure.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +3976668141,https://be.linkedin.com/jobs/view/data-analyst-at-catcoon-3976668141?position=22&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=ZZHyNFUvhmzltzJIICbS0w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Catcoon,Antwerp Metropolitan Area,"De voorbije 2 jaar hebben we met Catcoon een indrukwekkende groei doorgemaakt en scherpte we onze dienstverlening aan, met een speciale focus op sectoren waar we écht het verschil maken: HR, Gezondheidszorg, de Publieke sector en Energie. + + + + +Onze ambitie is om te blijven groeien en daarom zoeken we een gedreven Data Analyst om samen met onze klanten datagestuurde besluitvorming te stimuleren en hen te helpen transformeren richting een data gedreven organisatie. Je werkt samen met verschillende rollen in het datadomein en het is aan jou om ervoor te zorgen dat data wordt omgezet in verstaanbare inzichten die de bedrijfsstrategie ondersteunen. + + + + +Heb je zin om een dosis empathie en rationeel gezond verstand te combineren met data gedreven inzichten en processen? Ben jij iemand die analytische vaardigheden combineert met zakelijk inzicht, de kracht van data begrijpt en kan zorgen voor de juiste governance? + + + + +Dan leren we je graag kennen. + + + + +Wat ga je doen? + +Je wordt ingezet als Data & Analytics consultant voor één van onze klanten binnen onze sector (HR, Gezondheidszorg, de Publieke sector of Energie) +Je analyseert complexe datasets om bruikbare inzichten te genereren die de strategische doelen van de klant ondersteunen. +Je helpt bij het opzetten van een Data & Analytics groeipad van reactieve analyses naar voorspellende analyses. +Je gebruikt geavanceerde analytische technieken en tools om patronen te identificeren, voorspellingen te doen en aanbevelingen te geven. +Je werkt nauw samen met klantteams om data-analyse initiatieven te leiden en de implementatie van data gestuurde besluitvormingsprocessen te ondersteunen. +Je presenteert en visualiseert gegevens op een manier die begrijpelijk en overtuigend is voor zowel technische als niet-technische stakeholders. +Je verzamelt, reinigt en organiseert data uit verschillende bronnen om inzichten te creëren voor de klanten. +Je implementeert het data governance beleid en procedures om datakwaliteit, data-integriteit en data-veiligheid te waarborgen bij de klant. Je kan hier ook kritisch naar kijken en advies over geven. +Je blijft op de hoogte van de nieuwste trends en ontwikkelingen in data science, machine learning, big data technologieën en data governance. + +  + +Wat verwachten we van je? + +Je hebt minstens 3 jaar ervaring in Data-analyse of Business Intelligence +Je hebt bij voorkeur minstens 1 jaar ervaring in 1 van onze sectoren (HR, Gezondheidszorg, de Publieke sector of Energie) +Je bent gepassioneerd door data en hebt diepgaande kennis van analytische methoden, statistische modellen en data governance principes. +Je hebt ervaring met SQL, Python, R of andere data-analyse tools en platforms. +Je hebt ervaring met het visualiseren van data met tools als Tableau, Power BI, Qklik of vergelijkbare software. +Je hebt sterke communicatieve vaardigheden en kunt complexe ideeën duidelijk en effectief communiceren aan een gevarieerd publiek. +Je bent kritisch en weet wanneer te luisteren, wanneer terug te duwen en wanneer te leiden. +Je bent nieuwsgierig, innovatief en hebt een sterk probleemoplossend vermogen. + + + + +Wat mag je van ons verwachten? + +Een competitief loon in functie van jouw ervaring +Een firmawagen +Alles wat je nodig hebt om jouw job uit te oefenen, zowel thuis als op kantoor +Vrijheid en ruimte voor eigen ideeën en initiatief +De optie om aan persoonlijke cases te werken met een focus op onderzoek en innovatie +Interne opleidingen en de mogelijkheid om te groeien in een ervaren team +Sfeervol hoofdkantoor in een oude opslagplaats nabij Park Spoor Noord te Antwerpen (www.hoi.be) +Leuke collega’s, teamsfeer en -events! +Extralegale voordelen zoals hospitalisatieverzekering, groepsverzekering, maaltijdvergoeding en ecocheques + + + + +Iets voor jou? + +Stuur ons je inspirerende motivatiebrief en CV naar info@catcoon.be en bouw mee aan een mooiere digitale wereld. + +Show more ","
    + + + + + +
    +
    +

    De voorbije 2 jaar hebben we met Catcoon een indrukwekkende groei doorgemaakt en scherpte we onze dienstverlening aan, met een speciale focus op sectoren waar we écht het verschil maken: HR, Gezondheidszorg, de Publieke sector en Energie.


    Onze ambitie is om te blijven groeien en daarom zoeken we een gedreven Data Analyst om samen met onze klanten datagestuurde besluitvorming te stimuleren en hen te helpen transformeren richting een data gedreven organisatie. Je werkt samen met verschillende rollen in het datadomein en het is aan jou om ervoor te zorgen dat data wordt omgezet in verstaanbare inzichten die de bedrijfsstrategie ondersteunen.


    Heb je zin om een dosis empathie en rationeel gezond verstand te combineren met data gedreven inzichten en processen? Ben jij iemand die analytische vaardigheden combineert met zakelijk inzicht, de kracht van data begrijpt en kan zorgen voor de juiste governance?


    Dan leren we je graag kennen.


    Wat ga je doen?

    • Je wordt ingezet als Data & Analytics consultant voor één van onze klanten binnen onze sector (HR, Gezondheidszorg, de Publieke sector of Energie)
    • Je analyseert complexe datasets om bruikbare inzichten te genereren die de strategische doelen van de klant ondersteunen.
    • Je helpt bij het opzetten van een Data & Analytics groeipad van reactieve analyses naar voorspellende analyses.
    • Je gebruikt geavanceerde analytische technieken en tools om patronen te identificeren, voorspellingen te doen en aanbevelingen te geven.
    • Je werkt nauw samen met klantteams om data-analyse initiatieven te leiden en de implementatie van data gestuurde besluitvormingsprocessen te ondersteunen.
    • Je presenteert en visualiseert gegevens op een manier die begrijpelijk en overtuigend is voor zowel technische als niet-technische stakeholders.
    • Je verzamelt, reinigt en organiseert data uit verschillende bronnen om inzichten te creëren voor de klanten.
    • Je implementeert het data governance beleid en procedures om datakwaliteit, data-integriteit en data-veiligheid te waarborgen bij de klant. Je kan hier ook kritisch naar kijken en advies over geven.
    • Je blijft op de hoogte van de nieuwste trends en ontwikkelingen in data science, machine learning, big data technologieën en data governance.

     

    Wat verwachten we van je?

    • Je hebt minstens 3 jaar ervaring in Data-analyse of Business Intelligence
    • Je hebt bij voorkeur minstens 1 jaar ervaring in 1 van onze sectoren (HR, Gezondheidszorg, de Publieke sector of Energie)
    • Je bent gepassioneerd door data en hebt diepgaande kennis van analytische methoden, statistische modellen en data governance principes.
    • Je hebt ervaring met SQL, Python, R of andere data-analyse tools en platforms.
    • Je hebt ervaring met het visualiseren van data met tools als Tableau, Power BI, Qklik of vergelijkbare software.
    • Je hebt sterke communicatieve vaardigheden en kunt complexe ideeën duidelijk en effectief communiceren aan een gevarieerd publiek.
    • Je bent kritisch en weet wanneer te luisteren, wanneer terug te duwen en wanneer te leiden.
    • Je bent nieuwsgierig, innovatief en hebt een sterk probleemoplossend vermogen.


    Wat mag je van ons verwachten?

    • Een competitief loon in functie van jouw ervaring
    • Een firmawagen
    • Alles wat je nodig hebt om jouw job uit te oefenen, zowel thuis als op kantoor
    • Vrijheid en ruimte voor eigen ideeën en initiatief
    • De optie om aan persoonlijke cases te werken met een focus op onderzoek en innovatie
    • Interne opleidingen en de mogelijkheid om te groeien in een ervaren team
    • Sfeervol hoofdkantoor in een oude opslagplaats nabij Park Spoor Noord te Antwerpen (www.hoi.be)
    • Leuke collega’s, teamsfeer en -events!
    • Extralegale voordelen zoals hospitalisatieverzekering, groepsverzekering, maaltijdvergoeding en ecocheques


    Iets voor jou?

    Stuur ons je inspirerende motivatiebrief en CV naar info@catcoon.be en bouw mee aan een mooiere digitale wereld.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +4002027485,https://be.linkedin.com/jobs/view/data-engineer-data-analyst-at-enzo-tech-group-4002027485?position=23&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=FvW0OLXSVc5xkQlbY5vnow%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineer/ Data Analyst,Enzo Tech Group,"Brussels, Brussels Region, Belgium","Data Engineer/ Data Analyst + + + + +Key Responsibilities + +Microsoft Azure +Azure Synapse +Data factory +Databricks +Data lake +Data Flow +Python + + + + + + + +Experience + +Microsoft Azure +Azure Synapse +Data factory +Databricks +Data lake +Data Flow +Python +Designing and implementing efficient ETL processes using Azure Data Factory, ensuring high performance and adherence to best practices. +Guiding junior data engineers through code reviews, fostering a collaborative learning environment. +Executing comprehensive testing to validate data solutions and ensure accuracy and reliability. + + + + +My client is a leading insurer, seeking a Senior Data Engineer to design and implement Azure-based ETL processes while mentoring junior engineers. + + + + +For more information, please apply directly. + +Show more ","
    + + + + + +
    +
    +

    Data Engineer/ Data Analyst


    Key Responsibilities

    • Microsoft Azure
    • Azure Synapse
    • Data factory
    • Databricks
    • Data lake
    • Data Flow
    • Python



    Experience

    • Microsoft Azure
    • Azure Synapse
    • Data factory
    • Databricks
    • Data lake
    • Data Flow
    • Python
    • Designing and implementing efficient ETL processes using Azure Data Factory, ensuring high performance and adherence to best practices.
    • Guiding junior data engineers through code reviews, fostering a collaborative learning environment.
    • Executing comprehensive testing to validate data solutions and ensure accuracy and reliability.


    My client is a leading insurer, seeking a Senior Data Engineer to design and implement Azure-based ETL processes while mentoring junior engineers.


    For more information, please apply directly.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +3998122332,https://www.linkedin.com/jobs/view/marketing-data-analyst-remote-at-leadtech-group-3998122332?position=24&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=OOPG9Fv98zL9Pe6aIDU2TA%3D%3D&trk=public_jobs_jserp-result_search-card,Marketing Data Analyst (Remote),Leadtech Group,European Union,"We're looking for a Marketing Data Analyst who is passionate about their work, adapts easily, and shares our company values! + + + + +A little bit about us + +Leadtech has been fostering and developing innovative digital businesses across several industries since 2009. It has since then expanded to a team of over 500 committed employees working all over Spain. We are thrilled to have more than 23 nationalities working together and very proud to see that our products and services are enjoyed by millions of users monthly around the globe. + + + + +How you will make a difference: + + + + +Measure the performance of marketing campaigns, build ad hoc custom reports, and analyze anomalies and trends. +Preparation of analytical reports and dashboards (including visualization) for the marketing team. +Creation of Google Sheets scripts to connect data from different reports and Google Sheets. +High experience and skill level in Microsoft Excel / Google Sheets. +Analysis of product & marketing metrics correlation and identification of their drivers. +Analysis and identification of user behavior patterns based on product & marketing analytics and forming hypotheses for the marketing team based on these insights +Develop the SKAN measurement approach for Google, Meta and Tiktok. +Deeply understand the process of acquisition of users in order to analyze/provide valuable proposals +Manage MMP Tools (Adjust), and provide technical support and troubleshooting for the marketing team, specifically related to app attribution, event tracking, and callback implementations. +Analyze performance impact of any product and marketing strategy changes. +Cooperate with Marketing and Product teams to actively increase project profitability +Collaborate with the BI department to create and maintain data visualization dashboards. + + + + +Requirements + + + + +Bachelor degree in STEM field or similar +Experience working as Analyst of at least 3 years +Strong knowledge of app attribution tools commonly used in the mobile advertising industry. +Strong knowledge of machine learning and statistics techniques. +Strong communication skills and the ability to translate technical findings into clear business recommendations. +In-depth understanding of digital marketing strategies including down funnel analysis, as well technical knowledge of iOS and Android marketing analysis to tailor strategies for both platforms. +Experience working with data visualization tools +Experience with setting up and managing event tracking in mobile apps. Especially with a focus on SKAN, Firebase, Meta etc. +Teamwork and collaboration skills to work closely with other data professionals and cross-functional teams. +Proactive attitude and results-oriented. + + + + +Perks of being one of us + + + + +Full-time, permanent contract +Flexible time off, no blackout dates, plus your birthday, Christmas' Eve and New Year's Eve off +Remote work +Flextime (7 - 9:30 a.m. / 3:30 - 7:30 p.m) +Free Friday afternoons (a 7-hour workday!) + 35-hour week in July and August (free afternoons here we come!) +Enhanced career path designed just for you +External training budget +We celebrate all company landmarks + + + + +Sounds good? Apply now! We're looking forward to getting to know you. + + + + +Equal Employment Opportunity Employer + +Leadtech is an Equal Employment Opportunity (EEO) Employer, which means we encourage applications from people with different backgrounds, interests, and personal circumstances. Our team welcomes applicants regardless of their race, gender, age, religion, nationality, sexual orientation, and/or disabilities. All we need is your high energy, skills, and willingness to be part of a great project! + +Location + +You'll have the flexibility to choose whether you'd like to come to the office every day, from time to time, or work fully remote. We want you to find the best combination for you. + +If you prefer to be surrounded with amazing people, our exceptional office is in Barcelona's Blue Building, located right on the city's seafront. Besides our stunning views, you'll enjoy our office perks such as free fruit, snacks, and coffee and you'll also be able to take part in our Mario Kart and table tennis competitions. + +Show more ","
    + + + + + +
    +
    +

    We're looking for a Marketing Data Analyst who is passionate about their work, adapts easily, and shares our company values!


    A little bit about us

    Leadtech has been fostering and developing innovative digital businesses across several industries since 2009. It has since then expanded to a team of over 500 committed employees working all over Spain. We are thrilled to have more than 23 nationalities working together and very proud to see that our products and services are enjoyed by millions of users monthly around the globe.


    How you will make a difference:


    • Measure the performance of marketing campaigns, build ad hoc custom reports, and analyze anomalies and trends.
    • Preparation of analytical reports and dashboards (including visualization) for the marketing team.
    • Creation of Google Sheets scripts to connect data from different reports and Google Sheets.
    • High experience and skill level in Microsoft Excel / Google Sheets.
    • Analysis of product & marketing metrics correlation and identification of their drivers.
    • Analysis and identification of user behavior patterns based on product & marketing analytics and forming hypotheses for the marketing team based on these insights
    • Develop the SKAN measurement approach for Google, Meta and Tiktok.
    • Deeply understand the process of acquisition of users in order to analyze/provide valuable proposals
    • Manage MMP Tools (Adjust), and provide technical support and troubleshooting for the marketing team, specifically related to app attribution, event tracking, and callback implementations.
    • Analyze performance impact of any product and marketing strategy changes.
    • Cooperate with Marketing and Product teams to actively increase project profitability
    • Collaborate with the BI department to create and maintain data visualization dashboards.


    Requirements


    • Bachelor degree in STEM field or similar
    • Experience working as Analyst of at least 3 years
    • Strong knowledge of app attribution tools commonly used in the mobile advertising industry.
    • Strong knowledge of machine learning and statistics techniques.
    • Strong communication skills and the ability to translate technical findings into clear business recommendations.
    • In-depth understanding of digital marketing strategies including down funnel analysis, as well technical knowledge of iOS and Android marketing analysis to tailor strategies for both platforms.
    • Experience working with data visualization tools
    • Experience with setting up and managing event tracking in mobile apps. Especially with a focus on SKAN, Firebase, Meta etc.
    • Teamwork and collaboration skills to work closely with other data professionals and cross-functional teams.
    • Proactive attitude and results-oriented.


    Perks of being one of us


    • Full-time, permanent contract
    • Flexible time off, no blackout dates, plus your birthday, Christmas' Eve and New Year's Eve off
    • Remote work
    • Flextime (7 - 9:30 a.m. / 3:30 - 7:30 p.m)
    • Free Friday afternoons (a 7-hour workday!) + 35-hour week in July and August (free afternoons here we come!)
    • Enhanced career path designed just for you
    • External training budget
    • We celebrate all company landmarks


    Sounds good? Apply now! We're looking forward to getting to know you.


    Equal Employment Opportunity Employer

    Leadtech is an Equal Employment Opportunity (EEO) Employer, which means we encourage applications from people with different backgrounds, interests, and personal circumstances. Our team welcomes applicants regardless of their race, gender, age, religion, nationality, sexual orientation, and/or disabilities. All we need is your high energy, skills, and willingness to be part of a great project!

    Location

    You'll have the flexibility to choose whether you'd like to come to the office every day, from time to time, or work fully remote. We want you to find the best combination for you.

    If you prefer to be surrounded with amazing people, our exceptional office is in Barcelona's Blue Building, located right on the city's seafront. Besides our stunning views, you'll enjoy our office perks such as free fruit, snacks, and coffee and you'll also be able to take part in our Mario Kart and table tennis competitions.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-10,[] +3846964577,https://be.linkedin.com/jobs/view/azure-data-analyst-at-devoteam-3846964577?position=27&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=wahg7TxnUkZSBpJQA4Eu4w%3D%3D&trk=public_jobs_jserp-result_search-card,Azure Data Analyst,Devoteam,"Machelen, Flemish Region, Belgium"," +Company Description + +Devoteam is a leading consulting firm focused on digital strategy, tech platforms and cybersecurity. By combining creativity, tech and data insights, we empower our customers to transform their business and unlock the future. + +With 25 years’ experience and 10,000 employees across Europe, the Middle East and Africa, Devoteam promotes responsible tech for people and works to create better change. + +Join our global community of exceptional talents at Devoteam, where you’ll collaborate with multidisciplinary teams of data specialists, business consultants, solution architects, security experts, cloud engineers, developers, and more across over 20 countries in the EMEA region. As a member of our team, you’ll have the opportunity to work with the world’s leading partners, including AWS, Google Cloud, Microsoft, and ServiceNow, driving innovation and advancing your career. + + +Job Description + +If you like these keywords, you’ll love this role: + +#data #azure #PowerBI #Reporting #Dashboarding #DataWarehouse #DataMart #StarSchema + +Dreaming about exploring the data understanding how the business works? Do you enjoy telling a story around data? Do you enjoy figuring out how to calculate the needed KPI? We are currently looking for an Azure Data Analyst who can support our customers by telling a story around data by creating reports and dashboards. + +Do you have experience with Power BI or with a similar reporting tool? Are you also interested in supporting our Azure Data Engineer team computing the right data set? Are you attracted by new technologies and new methodologies? You’re a good candidate to be our future colleague! + +As an Azure Data Analyst, you will be a crucial part of our key projects for our data solutions. You will be in front of the customer understanding their need, creating the correct report and guiding our Azure Data Engineer to prepare properly the needed data. + + +Qualifications + +For this position, we’re looking for all seniority levels.  + +[Must-have] Hands-on experience with Power BI, SQL Server Reporting Services or Tableau +[Must-have] Hands-on experience with MS SQL querying language (T-SQL) +[Must-have] Hands-on experience modeling a datawarehouse/datamart in Star Schema +[Must-have] Knowledge about modeling techniques like data vault, Merise/3NF +[Nice-to-have] Hands-on experience creating Azure resources for a data cloud solution. +[Nice-to-have] Hands-on experience building data pipeline with some Azure data tools (Azure Data Factory, Synapse, Azure Data Lake…) +[Nice-to-have] Hands-on experience with the DataBricks environment (Delta Live Table, Workflows, SQL Warehouse) +[Nice-to-have] Hands-on experience with MS SQL Server suite (SSIS, SSAS) +[Nice-to-have] Hands-on experience with Python and PySpark +[Nice-to-have] You’re ready to drive change and bring creative tech ideas to life. +[Nice-to-have] You’re either proficient in Dutch or French (or you want to learn) and fluent in English. +[Bonus-points] Azure certified (or willing to obtain). Certifications in scope: PL-300, DP-203 + + + +If you do not feel fully confident that you meet the requirements above, please don’t worry. Just apply. Together we’ll discover what you can bring to the table, in which role you would fit best and how you could potentially grow at Devoteam. + +Our promises to you + +As a digital native you will have a positive impact at top organizations in Belgium. +Direct access to the Microsoft organization and programs thanks to our global partnership. +Prepare to inspire and be inspired by other Devoteamers in tech communities. +We enable local and international collaboration and exchange with other tech leaders and specialists, knowledge sharing, peer-to-peer coaching. +A personalized career plan with training offers in soft- & hard skills and certifications aligned to your needs & expertise. +Our servant leadership supports opportunities to grow your personal brand through blogs, keynote sessions, and more. + + +Additional Information + +#techies in our minds, #creatives in our hearts, #change in our DNA. + +Why choose us? + +Cutting-edge Technology: Embrace the latest advancements in IT and digital technologies as we constantly innovate to stay ahead of the competition. Our commitment to adopting state-of-the-art tools and methodologies ensures that you'll work on projects at the forefront of the industry. +Entrepreneur mindset: We value our people over processes. You will develop and grow in an agile and ambitious company where it’s okay to take risks, make mistakes and change plans to find transformative solutions. At the same time, you will learn from the best, building relationships and skills that will last your entire career. +Endless Learning Opportunities: We value personal and professional growth. Through workshops, conferences, and certifications, we offer the resources needed to expand your skill set and reach new heights in your career. +Connect with amazing people: You will become part of a network of +10,000 Devoteamers spread over 20 countries. +Collaborative Culture: Teamwork is at the heart of our organisation. You'll be working side by side with a diverse group of IT experts who share your passion for excellence and will inspire you to think outside the box. +Impactful Projects: Tackle real-world challenges that matter! From revolutionising business processes to developing innovative solutions, you'll have the chance to make a genuine and positive impact on our clients and the community. +Work-Life Balance: We believe in a healthy work-life balance, ensuring that you have time to unwind, pursue your hobbies, and spend quality time with loved ones. +Inspiring and eco-friendly workplace: We just moved to an amazing new building. We believe an inspiring workspace fuels creativity and fosters a positive work culture, allowing our employees to reach their full potential. The Wings building is also designed with eco-friendly features and energy-efficient systems. By reducing our ecological footprint, we are contributing to a greener future and aligning our business practices with our environmental values. The building is also very easily accessible by public transportation.  +Competitive package: We offer a competitive salary package with additional benefits like a company car, smartphone, medical insurance, pension plan, net allowance, laptop, meal vouchers, etc. We review our salary grid twice a year to ensure we are in line with the market. + +At Devoteam, we combine strong values – respect, frankness, ambition, entrepreneurship & collaboration - with a fun environment that empowers you to innovate and succeed. + +>>> Does all this sound compelling to you? Go for it and click that apply button! + +Show more ","
    + + + + + +
    +
    +
    Company Description

    Devoteam is a leading consulting firm focused on digital strategy, tech platforms and cybersecurity. By combining creativity, tech and data insights, we empower our customers to transform their business and unlock the future.

    With 25 years’ experience and 10,000 employees across Europe, the Middle East and Africa, Devoteam promotes responsible tech for people and works to create better change.

    Join our global community of exceptional talents at Devoteam, where you’ll collaborate with multidisciplinary teams of data specialists, business consultants, solution architects, security experts, cloud engineers, developers, and more across over 20 countries in the EMEA region. As a member of our team, you’ll have the opportunity to work with the world’s leading partners, including AWS, Google Cloud, Microsoft, and ServiceNow, driving innovation and advancing your career.


    Job Description

    If you like these keywords, you’ll love this role:

    #data #azure #PowerBI #Reporting #Dashboarding #DataWarehouse #DataMart #StarSchema

    Dreaming about exploring the data understanding how the business works? Do you enjoy telling a story around data? Do you enjoy figuring out how to calculate the needed KPI? We are currently looking for an Azure Data Analyst who can support our customers by telling a story around data by creating reports and dashboards.

    Do you have experience with Power BI or with a similar reporting tool? Are you also interested in supporting our Azure Data Engineer team computing the right data set? Are you attracted by new technologies and new methodologies? You’re a good candidate to be our future colleague!

    As an Azure Data Analyst, you will be a crucial part of our key projects for our data solutions. You will be in front of the customer understanding their need, creating the correct report and guiding our Azure Data Engineer to prepare properly the needed data.


    Qualifications

    For this position, we’re looking for all seniority levels. 
    • [Must-have] Hands-on experience with Power BI, SQL Server Reporting Services or Tableau
    • [Must-have] Hands-on experience with MS SQL querying language (T-SQL)
    • [Must-have] Hands-on experience modeling a datawarehouse/datamart in Star Schema
    • [Must-have] Knowledge about modeling techniques like data vault, Merise/3NF
    • [Nice-to-have] Hands-on experience creating Azure resources for a data cloud solution.
    • [Nice-to-have] Hands-on experience building data pipeline with some Azure data tools (Azure Data Factory, Synapse, Azure Data Lake…)
    • [Nice-to-have] Hands-on experience with the DataBricks environment (Delta Live Table, Workflows, SQL Warehouse)
    • [Nice-to-have] Hands-on experience with MS SQL Server suite (SSIS, SSAS)
    • [Nice-to-have] Hands-on experience with Python and PySpark
    • [Nice-to-have] You’re ready to drive change and bring creative tech ideas to life.
    • [Nice-to-have] You’re either proficient in Dutch or French (or you want to learn) and fluent in English.
    • [Bonus-points] Azure certified (or willing to obtain). Certifications in scope: PL-300, DP-203


    If you do not feel fully confident that you meet the requirements above, please don’t worry. Just apply. Together we’ll discover what you can bring to the table, in which role you would fit best and how you could potentially grow at Devoteam.

    Our promises to you
    • As a digital native you will have a positive impact at top organizations in Belgium.
    • Direct access to the Microsoft organization and programs thanks to our global partnership.
    • Prepare to inspire and be inspired by other Devoteamers in tech communities.
    • We enable local and international collaboration and exchange with other tech leaders and specialists, knowledge sharing, peer-to-peer coaching.
    • A personalized career plan with training offers in soft- & hard skills and certifications aligned to your needs & expertise.
    • Our servant leadership supports opportunities to grow your personal brand through blogs, keynote sessions, and more.


    Additional Information

    #techies in our minds, #creatives in our hearts, #change in our DNA.

    Why choose us?
    1. Cutting-edge Technology: Embrace the latest advancements in IT and digital technologies as we constantly innovate to stay ahead of the competition. Our commitment to adopting state-of-the-art tools and methodologies ensures that you'll work on projects at the forefront of the industry.
    2. Entrepreneur mindset: We value our people over processes. You will develop and grow in an agile and ambitious company where it’s okay to take risks, make mistakes and change plans to find transformative solutions. At the same time, you will learn from the best, building relationships and skills that will last your entire career.
    3. Endless Learning Opportunities: We value personal and professional growth. Through workshops, conferences, and certifications, we offer the resources needed to expand your skill set and reach new heights in your career.
    4. Connect with amazing people: You will become part of a network of +10,000 Devoteamers spread over 20 countries.
    5. Collaborative Culture: Teamwork is at the heart of our organisation. You'll be working side by side with a diverse group of IT experts who share your passion for excellence and will inspire you to think outside the box.
    6. Impactful Projects: Tackle real-world challenges that matter! From revolutionising business processes to developing innovative solutions, you'll have the chance to make a genuine and positive impact on our clients and the community.
    7. Work-Life Balance: We believe in a healthy work-life balance, ensuring that you have time to unwind, pursue your hobbies, and spend quality time with loved ones.
    8. Inspiring and eco-friendly workplace: We just moved to an amazing new building. We believe an inspiring workspace fuels creativity and fosters a positive work culture, allowing our employees to reach their full potential. The Wings building is also designed with eco-friendly features and energy-efficient systems. By reducing our ecological footprint, we are contributing to a greener future and aligning our business practices with our environmental values. The building is also very easily accessible by public transportation. 
    9. Competitive package: We offer a competitive salary package with additional benefits like a company car, smartphone, medical insurance, pension plan, net allowance, laptop, meal vouchers, etc. We review our salary grid twice a year to ensure we are in line with the market.
    At Devoteam, we combine strong values – respect, frankness, ambition, entrepreneurship & collaboration - with a fun environment that empowers you to innovate and succeed.

    >>> Does all this sound compelling to you? Go for it and click that apply button!
     +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +4004166289,https://be.linkedin.com/jobs/view/business-intelligence-analyst-at-cream-consulting-4004166289?position=28&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=gsiiuzL3YAhzDA2b2qx9GQ%3D%3D&trk=public_jobs_jserp-result_search-card,Business Intelligence Analyst,Cream Consulting,"Brussels, Brussels Region, Belgium","Permanent position only + + + + +WHAT IS CREAM ALL ABOUT? + +We could be a Cream Factory, a cooking blog or even a detective agency…but in reality, we are a consulting company in Business & Technology active in large organizations and industry leaders in Banking, Insurance, Telecom, Energy, Pharmaceutical & Transport. + + + + +CREAM’S SPECIAL RECIPE: + +1/3 of Personal development +1/3 of Collective Intelligence +1/3 of Intrapreneurship + +Bonus ingredient: … Some passionate colleagues 😀 + + + + +WHAT IS A BUSINESS INTELLIGENCE ANALYST AT CREAM? + +As Jean, Business Analyst Business Intelligence, translate the BI needs of the business teams in specifications for the IT department, for both small demands or as part of larger projects (contributions or BI project). + + + + +YOUR TASKS : + +Act as person of contact between Business Engineering Teams and the Development Team +Define the business specifications for BI needs +Participation in (or management of) BI projects, or on the BI tracks of other projects for the engineering activities (requirement definition, impact analysis, process definition), while representing the BI vision (and BI target architecture) that has been defined +Collaboration with data delivery experts to deliver on projects +Understand business requirements and build a functional analysis which covers needs of the business according to our BI reference architecture +Collaborate with the development team + + + + +HOW DO WE IMAGINE OUR FUTURE CONSULTANT? + +You have a Master degree in Computer Sciences or equivalent by experience +You have good knowledge in BI techniques and tools (BO, SAS, Cognos...) +You have a cultural openness and adaptability, you are rigorous, customer oriented, and you have high communication skills and analytical skills +You are polyvalent and can adapt easily to quickly changing environment +You are capable to think out of the box and maintain in the meantime a pragmatic approach +You are able to work with autonomy while being also a great team player +You are fluent in French and English; a good knowledge of Dutch is also required +You are committed to travelling abroad occasionally upon the client’s request + +Bonus + +An experience in concepts: ETL, DWHSE, data & process mining, reporting… could be a real asset + + + + +WHY SHOULD YOU TASTE CREAM/THE LIME FLAVOUR? + +A broad diversity of career options: you’re not stuck in a box +You evolve in a learning environment where you can challenge your knowledge with your colleagues +You grow in a company that is at the leading edge of technology +You have the opportunity to bring new ideas to develop a thriving company +We have values we share, live with, experiment every day +We just hire great people and give them the playing field to become awesome! + + + + +""THE LITTLE THING THAT CAN MAKE THE DIFFERENCE, + +CREAM IS DEVELOPING A DIVERSITY PLAN AND WOULD LIKE THAT ALL ITS MEMBERS REFLECT THE SOCIETY IN ALL ITS DIVERSITY"" + +Show more ","
    + + + + + +
    +
    +

    Permanent position only


    WHAT IS CREAM ALL ABOUT?

    We could be a Cream Factory, a cooking blog or even a detective agency…but in reality, we are a consulting company in Business & Technology active in large organizations and industry leaders in Banking, Insurance, Telecom, Energy, Pharmaceutical & Transport.


    CREAM’S SPECIAL RECIPE:

    • 1/3 of Personal development
    • 1/3 of Collective Intelligence
    • 1/3 of Intrapreneurship

    Bonus ingredient: … Some passionate colleagues 😀


    WHAT IS A BUSINESS INTELLIGENCE ANALYST AT CREAM?

    As Jean, Business Analyst Business Intelligence, translate the BI needs of the business teams in specifications for the IT department, for both small demands or as part of larger projects (contributions or BI project).


    YOUR TASKS :

    • Act as person of contact between Business Engineering Teams and the Development Team
    • Define the business specifications for BI needs
    • Participation in (or management of) BI projects, or on the BI tracks of other projects for the engineering activities (requirement definition, impact analysis, process definition), while representing the BI vision (and BI target architecture) that has been defined
    • Collaboration with data delivery experts to deliver on projects
    • Understand business requirements and build a functional analysis which covers needs of the business according to our BI reference architecture
    • Collaborate with the development team


    HOW DO WE IMAGINE OUR FUTURE CONSULTANT?

    • You have a Master degree in Computer Sciences or equivalent by experience
    • You have good knowledge in BI techniques and tools (BO, SAS, Cognos...)
    • You have a cultural openness and adaptability, you are rigorous, customer oriented, and you have high communication skills and analytical skills
    • You are polyvalent and can adapt easily to quickly changing environment
    • You are capable to think out of the box and maintain in the meantime a pragmatic approach
    • You are able to work with autonomy while being also a great team player
    • You are fluent in French and English; a good knowledge of Dutch is also required
    • You are committed to travelling abroad occasionally upon the client’s request

    Bonus

    • An experience in concepts: ETL, DWHSE, data & process mining, reporting… could be a real asset


    WHY SHOULD YOU TASTE CREAM/THE LIME FLAVOUR?

    • A broad diversity of career options: you’re not stuck in a box
    • You evolve in a learning environment where you can challenge your knowledge with your colleagues
    • You grow in a company that is at the leading edge of technology
    • You have the opportunity to bring new ideas to develop a thriving company
    • We have values we share, live with, experiment every day
    • We just hire great people and give them the playing field to become awesome!


    ""THE LITTLE THING THAT CAN MAKE THE DIFFERENCE,

    CREAM IS DEVELOPING A DIVERSITY PLAN AND WOULD LIKE THAT ALL ITS MEMBERS REFLECT THE SOCIETY IN ALL ITS DIVERSITY""

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +4001467694,https://be.linkedin.com/jobs/view/data-analyst-%E2%80%93-data-management-analytics-at-capco-4001467694?position=29&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=aPnKRClqgyd8uY%2BTfXH3YA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst – Data Management & Analytics,Capco,"Brussels, Brussels Region, Belgium","Capco – The Future. Now. + +Capco is a distinctly and positively different place to work. Much more than consultants, we are active participants in the global financial services industry. Our passionate business and technology professionals enjoy a unique environment where they are actively encouraged to apply intellect, innovation, experience and teamwork. We are dedicated to fully supporting our clients as they respond to challenges and opportunities in: Banking, Capital Markets, Finance Risk & Compliance, Insurance, and Wealth and Investment Management. Experience Capco for yourself at capco.com + +Let’s Talk About You + +You want to Own Your Career. You’re serious about rising as far and as fast as your work and achievements can take you. And you’re ready to write the next chapter of your career story: a challenging and rewarding role as a Capco Data analyst Consultant. + +Let’s Get Down To Business + +We are looking for a data Consultant to join our Data team. + +Responsibilities + + +Leverage your existing analytical skills and expertise to help clients meet their challenges +Take part in strategic data transformation projects and value creation through use of data +Enable data-driven decisions through advanced analytics, visualisation, quality data and dedicated datasets +Engage data using analytical tools and languages to perform data manipulation and analysis +Be involved with managing, cleansing, abstracting and aggregating data +Support the importance of data processes, data integrity and cleanliness, and the strategic use of data +Work with or act as project manager to scope and analyse the area of analysis + + +Show Us What You’ve Got + +It will be very useful if you have some or all of the following skills and experience: + + +Professional experience of 2-8 years in a data related position, with a preference for roles within the financial industry or a consultancy firm +Bachelor or Master degree in a relevant field +Excellent analytical, reporting and presentation skills +Good knowledge of SQL, Python and preferably one visualisation tool (Tableau, PowerBI...) +Being able to work and liaise with various stakeholders, ranging from business to technical stakeholders +You are a creative problem solver with a hands-on approach +Fluency in French or Dutch and excellent knowledge of English + + +Professional experience is important. But it’s paramount you share our belief in disruptive innovation that puts clients ahead in a tough market. From Day One, your key skill will be to perceive new and better ways of doing things to give your clients an unfair advantage. + +Now Take the Next Step + +If this sounds like you, we would love to hear from you. + +What Do We Offer + + +An attractive remuneration package, reflecting your experience, including a company car or a green mobility budget, net allowances, end-of-year bonuses, health insurance, a mobile phone and subscription, laptop and meal vouchers +Organised individual learning tracks with access to leading online skills development platforms, to onsite and online teachers and to our global experts +A hybrid (on-site/remote) work environment +A shared objective to achieve a good work-life balance +A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients +A diverse, inclusive, meritocratic culture + + +Show more ","
    + + + + + +
    +
    + Capco – The Future. Now.

    Capco is a distinctly and positively different place to work. Much more than consultants, we are active participants in the global financial services industry. Our passionate business and technology professionals enjoy a unique environment where they are actively encouraged to apply intellect, innovation, experience and teamwork. We are dedicated to fully supporting our clients as they respond to challenges and opportunities in: Banking, Capital Markets, Finance Risk & Compliance, Insurance, and Wealth and Investment Management. Experience Capco for yourself at capco.com

    Let’s Talk About You

    You want to Own Your Career. You’re serious about rising as far and as fast as your work and achievements can take you. And you’re ready to write the next chapter of your career story: a challenging and rewarding role as a Capco Data analyst Consultant.

    Let’s Get Down To Business

    We are looking for a data Consultant to join our Data team.

    Responsibilities

    • Leverage your existing analytical skills and expertise to help clients meet their challenges
    • Take part in strategic data transformation projects and value creation through use of data
    • Enable data-driven decisions through advanced analytics, visualisation, quality data and dedicated datasets
    • Engage data using analytical tools and languages to perform data manipulation and analysis
    • Be involved with managing, cleansing, abstracting and aggregating data
    • Support the importance of data processes, data integrity and cleanliness, and the strategic use of data
    • Work with or act as project manager to scope and analyse the area of analysis

    Show Us What You’ve Got

    It will be very useful if you have some or all of the following skills and experience:

    • Professional experience of 2-8 years in a data related position, with a preference for roles within the financial industry or a consultancy firm
    • Bachelor or Master degree in a relevant field
    • Excellent analytical, reporting and presentation skills
    • Good knowledge of SQL, Python and preferably one visualisation tool (Tableau, PowerBI...)
    • Being able to work and liaise with various stakeholders, ranging from business to technical stakeholders
    • You are a creative problem solver with a hands-on approach
    • Fluency in French or Dutch and excellent knowledge of English

    Professional experience is important. But it’s paramount you share our belief in disruptive innovation that puts clients ahead in a tough market. From Day One, your key skill will be to perceive new and better ways of doing things to give your clients an unfair advantage.

    Now Take the Next Step

    If this sounds like you, we would love to hear from you.

    What Do We Offer

    • An attractive remuneration package, reflecting your experience, including a company car or a green mobility budget, net allowances, end-of-year bonuses, health insurance, a mobile phone and subscription, laptop and meal vouchers
    • Organised individual learning tracks with access to leading online skills development platforms, to onsite and online teachers and to our global experts
    • A hybrid (on-site/remote) work environment
    • A shared objective to achieve a good work-life balance
    • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
    • A diverse, inclusive, meritocratic culture

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +3818956442,https://be.linkedin.com/jobs/view/data-analyst-at-telenet-3818956442?position=30&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=YWoM%2B91S0twoCg8%2FEAjKwg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Telenet,"Mechelen, Flemish Region, Belgium","Job Description + +Je komt terecht in de marketing tribe bij Telenet Business, de dynamische en groeiende B2B-circle binnen de Telenet groep. Nu B2B steeds meer datagedreven wordt, speel jij een cruciale rol in het overnemen van deze mindset en het verschaffen van de juiste inzichten. Je maakt deel uit van een klein dynamisch team dat verantwoordelijk is voor marketing intelligence, marketing automation, digital marketing en performance. De data analist werkt zeer nauw samen met de marketing collega's, zijn data analist collega's, data scientists maar ook met sales, solutions experts, business analisten. + +Jouw rol als data analist + + +Als data analist ben je verantwoordelijk voor het beheersen van commerciële data, zorg je ervoor dat deze door jou of andere collega's wordt opgeschoond en ondersteun je stakeholders met interessante business inzichten. Als je houdt van een verscheidenheid aan dataprojecten, in een complex datalandschap en om samen te werken met een veelheid aan stakeholders, dan ben jij onze persoon! +Je verzamelt, cleaned en valideert de gegevens die je nodig hebt uit verschillende bronnen. +Stelt klantenlijsten op, combineert relevante klant- en productgegevens om leadgeneratieacties, migraties en marketingacties voor te bereiden. +Zorg ervoor dat we de meest optimale gegevenskwaliteit in onze contacten hebben +Bepaal gegevensverbeteringen om ervoor te zorgen dat we de gegevenskwaliteit op peil houden en het beste halen uit de gegevens die we verzamelen +Stuur het commerciële team aan door bedrijfsinzichten en meer specifieke segmentinzichten te bieden. Ondersteun de business door nieuwe kansen te definiëren op basis van diepgaande data-analyse, suggesties om de prestaties te verbeteren, etc. +Creëer in Qlik nieuwe rapporten ter ondersteuning van zakelijke inzichten voor commerciële sturing. +Zorg ervoor dat we voldoen aan het GDPR-beleid van Telenet met betrekking tot B2B-klantgegevens. + + +We zijn op zoek naar een Data Analist met de volgende vaardigheden + + +Data-driven mindset met het vermogen om de juiste inhoudelijke KPI's vast te stellen en deze op te volgen. +Strong analytical and data skills, met kennis van Excel, SQL, SPSS en/of rapportageplatform. Ervaring met QlikSense is een voordeel. +Op je gemak zijn in een complexe omgeving met meerdere te beheren tools/bronnen +Samenwerken met een veelheid aan stakeholders van verschillende afdelingen binnen B2B +Goede presentatie- en vertelvaardigheden, zeker naar niet-data gedreven collega's +Een probleemoplossende en resultaatgerichte mindset +Uitstekende communicatie- en samenwerkingsvaardigheden in Nederlands en Engels, Frans is een pré. +Ervaring van minimaal 3-5 jaar als data/business/CRM-analist of in een vergelijkbare rol. + + +Wat kun je van ons verwachten? + + +Je komt terecht bij een bedrijf en een team die veel in je investeren en je werkomgeving waar mogelijk aanpassen aan je behoeften. We willen dat je jezelf ontwikkelt en zorgen tegelijkertijd voor een goede balans tussen werk en privé. +Je krijgt alle kansen om je expertise verder te ontwikkelen. We stimuleren je persoonlijke groei met interne mobiliteitsmogelijkheden en uitgebreide leermogelijkheden, maar geven je ook de kans om desgewenst op de pauzeknop te drukken of een heel ander pad in te slaan. +Een afwisselende baan waarin je tastbare resultaten zult boeken en je stempel zult drukken. +Een competitief bruto maandsalaris dat we aanvullen met tal van extralegale voordelen zoals kortingen op Telenet producten, maaltijdcheques, ... . +Een geweldig team van collega's die net zo gepassioneerd zijn als jij. +Je komt te werken in een geweldige moderne werkplek op Telenet HQ in Mechelen met de mogelijkheid om tot drie dagen per week thuis te werken +Show more ","
    + + + + + +
    +
    + Job Description

    Je komt terecht in de marketing tribe bij Telenet Business, de dynamische en groeiende B2B-circle binnen de Telenet groep. Nu B2B steeds meer datagedreven wordt, speel jij een cruciale rol in het overnemen van deze mindset en het verschaffen van de juiste inzichten. Je maakt deel uit van een klein dynamisch team dat verantwoordelijk is voor marketing intelligence, marketing automation, digital marketing en performance. De data analist werkt zeer nauw samen met de marketing collega's, zijn data analist collega's, data scientists maar ook met sales, solutions experts, business analisten.

    Jouw rol als data analist

    • Als data analist ben je verantwoordelijk voor het beheersen van commerciële data, zorg je ervoor dat deze door jou of andere collega's wordt opgeschoond en ondersteun je stakeholders met interessante business inzichten. Als je houdt van een verscheidenheid aan dataprojecten, in een complex datalandschap en om samen te werken met een veelheid aan stakeholders, dan ben jij onze persoon!
    • Je verzamelt, cleaned en valideert de gegevens die je nodig hebt uit verschillende bronnen.
    • Stelt klantenlijsten op, combineert relevante klant- en productgegevens om leadgeneratieacties, migraties en marketingacties voor te bereiden.
    • Zorg ervoor dat we de meest optimale gegevenskwaliteit in onze contacten hebben
    • Bepaal gegevensverbeteringen om ervoor te zorgen dat we de gegevenskwaliteit op peil houden en het beste halen uit de gegevens die we verzamelen
    • Stuur het commerciële team aan door bedrijfsinzichten en meer specifieke segmentinzichten te bieden. Ondersteun de business door nieuwe kansen te definiëren op basis van diepgaande data-analyse, suggesties om de prestaties te verbeteren, etc.
    • Creëer in Qlik nieuwe rapporten ter ondersteuning van zakelijke inzichten voor commerciële sturing.
    • Zorg ervoor dat we voldoen aan het GDPR-beleid van Telenet met betrekking tot B2B-klantgegevens.

    We zijn op zoek naar een Data Analist met de volgende vaardigheden

    • Data-driven mindset met het vermogen om de juiste inhoudelijke KPI's vast te stellen en deze op te volgen.
    • Strong analytical and data skills, met kennis van Excel, SQL, SPSS en/of rapportageplatform. Ervaring met QlikSense is een voordeel.
    • Op je gemak zijn in een complexe omgeving met meerdere te beheren tools/bronnen
    • Samenwerken met een veelheid aan stakeholders van verschillende afdelingen binnen B2B
    • Goede presentatie- en vertelvaardigheden, zeker naar niet-data gedreven collega's
    • Een probleemoplossende en resultaatgerichte mindset
    • Uitstekende communicatie- en samenwerkingsvaardigheden in Nederlands en Engels, Frans is een pré.
    • Ervaring van minimaal 3-5 jaar als data/business/CRM-analist of in een vergelijkbare rol.

    Wat kun je van ons verwachten?

    • Je komt terecht bij een bedrijf en een team die veel in je investeren en je werkomgeving waar mogelijk aanpassen aan je behoeften. We willen dat je jezelf ontwikkelt en zorgen tegelijkertijd voor een goede balans tussen werk en privé.
    • Je krijgt alle kansen om je expertise verder te ontwikkelen. We stimuleren je persoonlijke groei met interne mobiliteitsmogelijkheden en uitgebreide leermogelijkheden, maar geven je ook de kans om desgewenst op de pauzeknop te drukken of een heel ander pad in te slaan.
    • Een afwisselende baan waarin je tastbare resultaten zult boeken en je stempel zult drukken.
    • Een competitief bruto maandsalaris dat we aanvullen met tal van extralegale voordelen zoals kortingen op Telenet producten, maaltijdcheques, ... .
    • Een geweldig team van collega's die net zo gepassioneerd zijn als jij.
    • Je komt te werken in een geweldige moderne werkplek op Telenet HQ in Mechelen met de mogelijkheid om tot drie dagen per week thuis te werken
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +3994731631,https://be.linkedin.com/jobs/view/reporting-data-analyst-at-colruyt-group-3994731631?position=33&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=CNIpefHDDFYL38580OHNlw%3D%3D&trk=public_jobs_jserp-result_search-card,Reporting & Data Analyst,Colruyt Group,"Halle, Flemish Region, Belgium","Als Reporting & Data Analyst maak je deel uit van een dynamisch team dat zich focust op analyse en rapportering voor Indirecte Aankopen binnen Colruyt Group Technics. Jouw bijdrage speelt een belangrijke rol bij besluitvormingsprocessen en het bevorderen van de groei van het bedrijf. Een job met veel impact! + + + + +Een greep uit jouw takenpakket: + +Als Reporting & Data Analyst binnen Colruyt Group Technics ben je verantwoordelijk voor het verzamelen, analyseren en rapporteren van gegevens die cruciaal zijn voor onze bedrijfsvoering. Hiervoor ontwikkel, onderhoud en optimaliseer je periodieke rapportages en dashboards met behulp van Power BI. +Je analyseert hierbij data om trends, patronen en inzichten te ontdekken, maar ook knelpunten en verbeterpunten te vinden. Vanuit jouw inzichten doe je voorstellen voor datagedreven verbeteringen en strategische initiatieven. +Je werkt samen met verschillende interne stakeholders om hun noden en rapportagebehoeften te begrijpen en te vervullen. +Je schrijft werkmethodes uit, stelt gedetailleerde opleidingsmappen op ifv. de opgestelde rapporteringen en geeft trainingen aan medewerkers om hen te ondersteunen bij het gebruik van rapportages en data-analysetools. +Je werkt nauw samen met jouw team om gegevensgestuurde oplossingen te ontwikkelen en te implementeren. +Je waakt over de datakwaliteit binnen de verschillende systemen aan de hand van rapporteringen en draagt op die manier actief bij aan de continue verbetering van dataverzamelings- en analyseprocessen. + +Je werkt in Halle en kunt tot 2 dagen per week thuiswerken of in een van onze regionale kantoren (Mechelen, Haasrode, Zwijnaarde, …). + + + + +Profiel + + + + +Ervaring – Je hebt minstens een bachelordiploma in een relevante studierichting zoals Data Science, Statistiek, Wiskunde, … en ervaring met het werken in complexe spreadsheets in Excel. Basiskennis van SAP is een pluspunt. +Analytisch vermogen – Je bent analytisch en kunt complexe informatie vertalen naar begrijpelijke inzichten zonder de details uit het oog te verliezen. +Teamplayer – Je werkt in een multidisciplinair team, je haalt energie uit samenwerken om de beste resultaten te halen. +Initiatief – Je bent gedreven en pakt je werk zelf vast om op een efficiënte manier je doel te bereiken. Zie je dat iets beter kan? Dan ga je daar mee aan de slag. +Communicatie - Je hebt sterke communicatieve vaardigheden en het vermogen om complexe gegevens eenvoudig uit te leggen. +Talenkennis – Je communiceert vlot in het Nederlands en Frans en kunt informatie vlot overbrengen aan je collega’s en stakeholders. + + + + +Wij bieden + + + + +Aantrekkelijk loonpakket – Je ontvangt een aantrekkelijk loonpakket, gecombineerd met extralegale voordelen zoals een bedrijfswagen, maaltijdcheques, winstdeelname en een hospitalisatieverzekering. +Opleidingen en leertrajecten – Wij voorzien opleidingen die aansluiten bij je ervaring en behoeften. Je krijgt alle mogelijkheden om jezelf te ontplooien, zowel op professioneel als persoonlijk vlak. +Eigen verantwoordelijkheden - We geven je de kans om je eigen verantwoordelijkheden op te nemen, maar ook om je eigen ideeën en initiatieven mee vorm te geven. +Werkzekerheid – Colruyt Group is een stabiel bedrijf in volle groei met ruim 32.000 medewerkers. Bij ons kan je dus rekenen op werkzekerheid én een mooie toekomst! +Plezant werken – Een hecht en dynamisch team staat te popelen om jou te leren kennen. Je staat er niet alleen voor, voor vragen kan je altijd bij hen terecht. + + + + +Je gaat aan de slag bij Colruyt Group Technics, onze interne technische dienst. We ontwerpen, (ver)bouwen en onderhouden alle winkels, distributiecentra, DATS 24-tankstations, voertuigen en installaties van Colruyt Group. Of je nu technieker, administratief medewerker of architect bent, je merkt meteen de impact van je werk. + +Show more ","
    + + + + + +
    +
    +

    Als Reporting & Data Analyst maak je deel uit van een dynamisch team dat zich focust op analyse en rapportering voor Indirecte Aankopen binnen Colruyt Group Technics. Jouw bijdrage speelt een belangrijke rol bij besluitvormingsprocessen en het bevorderen van de groei van het bedrijf. Een job met veel impact!


    Een greep uit jouw takenpakket:

    • Als Reporting & Data Analyst binnen Colruyt Group Technics ben je verantwoordelijk voor het verzamelen, analyseren en rapporteren van gegevens die cruciaal zijn voor onze bedrijfsvoering. Hiervoor ontwikkel, onderhoud en optimaliseer je periodieke rapportages en dashboards met behulp van Power BI.
    • Je analyseert hierbij data om trends, patronen en inzichten te ontdekken, maar ook knelpunten en verbeterpunten te vinden. Vanuit jouw inzichten doe je voorstellen voor datagedreven verbeteringen en strategische initiatieven.
    • Je werkt samen met verschillende interne stakeholders om hun noden en rapportagebehoeften te begrijpen en te vervullen.
    • Je schrijft werkmethodes uit, stelt gedetailleerde opleidingsmappen op ifv. de opgestelde rapporteringen en geeft trainingen aan medewerkers om hen te ondersteunen bij het gebruik van rapportages en data-analysetools.
    • Je werkt nauw samen met jouw team om gegevensgestuurde oplossingen te ontwikkelen en te implementeren.
    • Je waakt over de datakwaliteit binnen de verschillende systemen aan de hand van rapporteringen en draagt op die manier actief bij aan de continue verbetering van dataverzamelings- en analyseprocessen.

    Je werkt in Halle en kunt tot 2 dagen per week thuiswerken of in een van onze regionale kantoren (Mechelen, Haasrode, Zwijnaarde, …).


    Profiel


    • Ervaring – Je hebt minstens een bachelordiploma in een relevante studierichting zoals Data Science, Statistiek, Wiskunde, … en ervaring met het werken in complexe spreadsheets in Excel. Basiskennis van SAP is een pluspunt.
    • Analytisch vermogen – Je bent analytisch en kunt complexe informatie vertalen naar begrijpelijke inzichten zonder de details uit het oog te verliezen.
    • Teamplayer – Je werkt in een multidisciplinair team, je haalt energie uit samenwerken om de beste resultaten te halen.
    • Initiatief – Je bent gedreven en pakt je werk zelf vast om op een efficiënte manier je doel te bereiken. Zie je dat iets beter kan? Dan ga je daar mee aan de slag.
    • Communicatie - Je hebt sterke communicatieve vaardigheden en het vermogen om complexe gegevens eenvoudig uit te leggen.
    • Talenkennis – Je communiceert vlot in het Nederlands en Frans en kunt informatie vlot overbrengen aan je collega’s en stakeholders.


    Wij bieden


    • Aantrekkelijk loonpakket – Je ontvangt een aantrekkelijk loonpakket, gecombineerd met extralegale voordelen zoals een bedrijfswagen, maaltijdcheques, winstdeelname en een hospitalisatieverzekering.
    • Opleidingen en leertrajecten – Wij voorzien opleidingen die aansluiten bij je ervaring en behoeften. Je krijgt alle mogelijkheden om jezelf te ontplooien, zowel op professioneel als persoonlijk vlak.
    • Eigen verantwoordelijkheden - We geven je de kans om je eigen verantwoordelijkheden op te nemen, maar ook om je eigen ideeën en initiatieven mee vorm te geven.
    • Werkzekerheid – Colruyt Group is een stabiel bedrijf in volle groei met ruim 32.000 medewerkers. Bij ons kan je dus rekenen op werkzekerheid én een mooie toekomst!
    • Plezant werken – Een hecht en dynamisch team staat te popelen om jou te leren kennen. Je staat er niet alleen voor, voor vragen kan je altijd bij hen terecht.


  • Je gaat aan de slag bij Colruyt Group Technics, onze interne technische dienst. We ontwerpen, (ver)bouwen en onderhouden alle winkels, distributiecentra, DATS 24-tankstations, voertuigen en installaties van Colruyt Group. Of je nu technieker, administratief medewerker of architect bent, je merkt meteen de impact van je werk.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3984912191,https://be.linkedin.com/jobs/view/data-analyst-f-m-x-at-amaris-consulting-3984912191?position=34&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=geYoTVpYFvFbyKFDTGf%2BJQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst F/M/X,Amaris Consulting,"Brussels, Brussels Region, Belgium","Who are we? + +Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success. + +At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like: + +Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you! + +Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities! + +Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc. + +As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience. + +We look forward to meeting you! + +Job Description + +We are seeking an entry-level Data Analyst to join our team at Amaris Consulting in Brussels, Belgium. In this role, you will be responsible for interpreting data and turning it into information which can offer ways to improve a business, thus affecting business decisions. You will gather information from various sources and interpret patterns and trends. + +🔥Your Responsibilities: + + + +Analyze large datasets while managing and coordinating with different stakeholders. +Perform regular quality control checks on data, including resolving any discrepancies. +Create clear reports that identify consistent trends and propose actionable insights based on available data. +Work closely with management teams to understand their needs and provide appropriate solutions using statistical tools. +Maintain databases by acquiring new data from available sources, ensuring the integrity of the database is not compromised. +Develop protocols for handling, processing, and cleaning datasets. +Collaborate with IT teams to set up secure systems for protecting sensitive company information. + + + +🎯 Your Profile: + +You are an ambitious individual who has recently graduated or started your career journey in the field of Data Analysis or related fields. Your ability to analyze large volumes of complex data sets makes you stand out among others. You have excellent attention-to-detail skills along with strong communication abilities that help you explain technical concepts effectively across all levels within the organization. + + + +A degree in Mathematics, Computer Science or Statistics is required; master’s degree is mandatory for a VIE. +Possess knowledge: SQL Server/Oracle/MySQL etc. +Familiarity with statistical software (e.g, SAS) and data visualization tools (e.g, Tableau). +Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy. +Adept at queries, report writing and presenting findings. +Excellent verbal and written communication skills in English are essential for this role. Knowledge of Dutch or French would be an added advantage. +Minimum 1 to 3 years of experience. + + + + 🚀 Advantages: + + + +An international learning environment +Extensive training and certifications. +A R&D laboratory where you can develop your skills on innovative projects. +The opportunity to bring new ideas to develop a thriving business. +Individual coaching and mentoring, as well as the chance to learn from experts for your professional and personal growth. +An attractive, tailor-made, and evolving career path.   + + + +💡 We are an independent company that values: + + + +Agility: thrive in a flexible, dynamic, and stimulating environment. +International scope: enjoy daily international exchanges and numerous mobility opportunities in over 60 countries. +Intrapreneurship: engage in related topics or develop your own Business Unit. +Attentive management: with a limited number of consultants, your manager will adapt to your profile and support you throughout your professional journey. + + + +Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics. +Show more ","
    + + + + + +
    +
    + Who are we?

    Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

    At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:

    Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!

    Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!

    Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

    As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.

    We look forward to meeting you!

    Job Description

    We are seeking an entry-level Data Analyst to join our team at Amaris Consulting in Brussels, Belgium. In this role, you will be responsible for interpreting data and turning it into information which can offer ways to improve a business, thus affecting business decisions. You will gather information from various sources and interpret patterns and trends.

    🔥Your Responsibilities:


    • Analyze large datasets while managing and coordinating with different stakeholders.
    • Perform regular quality control checks on data, including resolving any discrepancies.
    • Create clear reports that identify consistent trends and propose actionable insights based on available data.
    • Work closely with management teams to understand their needs and provide appropriate solutions using statistical tools.
    • Maintain databases by acquiring new data from available sources, ensuring the integrity of the database is not compromised.
    • Develop protocols for handling, processing, and cleaning datasets.
    • Collaborate with IT teams to set up secure systems for protecting sensitive company information.


    🎯 Your Profile:

    You are an ambitious individual who has recently graduated or started your career journey in the field of Data Analysis or related fields. Your ability to analyze large volumes of complex data sets makes you stand out among others. You have excellent attention-to-detail skills along with strong communication abilities that help you explain technical concepts effectively across all levels within the organization.


    • A degree in Mathematics, Computer Science or Statistics is required; master’s degree is mandatory for a VIE.
    • Possess knowledge: SQL Server/Oracle/MySQL etc.
    • Familiarity with statistical software (e.g, SAS) and data visualization tools (e.g, Tableau).
    • Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy.
    • Adept at queries, report writing and presenting findings.
    • Excellent verbal and written communication skills in English are essential for this role. Knowledge of Dutch or French would be an added advantage.
    • Minimum 1 to 3 years of experience.


     🚀 Advantages:


    • An international learning environment
    • Extensive training and certifications.
    • A R&D laboratory where you can develop your skills on innovative projects.
    • The opportunity to bring new ideas to develop a thriving business.
    • Individual coaching and mentoring, as well as the chance to learn from experts for your professional and personal growth.
    • An attractive, tailor-made, and evolving career path.  


    💡 We are an independent company that values:


    • Agility: thrive in a flexible, dynamic, and stimulating environment.
    • International scope: enjoy daily international exchanges and numerous mobility opportunities in over 60 countries.
    • Intrapreneurship: engage in related topics or develop your own Business Unit.
    • Attentive management: with a limited number of consultants, your manager will adapt to your profile and support you throughout your professional journey.


    Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-26,[] +4004584994,https://be.linkedin.com/jobs/view/data-analyst-ethics-business-integrity-at-ucb-4004584994?position=35&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=lpKj36OiLHmFAsAs5i0Tfw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - Ethics & Business Integrity,UCB,"Anderlecht, Brussels Region, Belgium","Make your mark for patients + +We are looking for a Data Analyst - Ethics & Business Integrity who is analytical, communicative, and self-motivated to join us in our Ethics & Business Integrity (E&BI) team, based in our headquarters office in Brussels, Belgium or in our office in Atlanta, United States. + +About The Role + +You will be working in a team that designs the compliance monitoring program, including data analysis, research, data management, and reporting, with a goal of enabling the E&BI Team to make informed decisions based on empirical evidence, promoting ethics and business integrity within the organization. Your focus will be on designing data analytics approaches to improve the efficiency and effectiveness of monitoring approaches. + +Who You’ll Work With + +You will collaborate with various E&BI teams, IT teams, and external partners/vendors to deliver comprehensive data insights and analytics supporting ethical practices and business integrity. + +What You’ll Do + + +Identify opportunities for data-informed reporting and analytics within E&BI. +Assess relevant data sources availability across the organization. +Develop data analytics models to generate insights related to ethics and business integrity. +Deploy and evaluate data analytics solutions and communicate results effectively …. + + +Interested? For this role we’re looking for the following education, experience and skills + + +Excellent analytical skills for identifying trends and insights from data. +Experience with compliance monitoring approaches preferred. +Strong knowledge and interest in data (Data Visualization/BI Tools, Coding Languages & Tools). +Effective communication skills, including presentations and clear writing. +Ability to influence stakeholders to maximize the impact of ethics and integrity analytics. +Proven problem-solving skills and the ability to work independently. + + +Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you! + +About Us + +UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are around 8,500 people in all four corners of the globe, inspired by patients and driven by science. + +Why work with us? + +At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equitable opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential. + +UCB and its subsidiaries encourage diversity and inclusion in the workplace; we are an Equal Opportunity Employer. We do not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity. + +Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on EMEA-Reasonable_Accommodation@ucb.com . Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel. +Show more ","
    + + + + + +
    +
    + Make your mark for patients

    We are looking for a Data Analyst - Ethics & Business Integrity who is analytical, communicative, and self-motivated to join us in our Ethics & Business Integrity (E&BI) team, based in our headquarters office in Brussels, Belgium or in our office in Atlanta, United States.

    About The Role

    You will be working in a team that designs the compliance monitoring program, including data analysis, research, data management, and reporting, with a goal of enabling the E&BI Team to make informed decisions based on empirical evidence, promoting ethics and business integrity within the organization. Your focus will be on designing data analytics approaches to improve the efficiency and effectiveness of monitoring approaches.

    Who You’ll Work With

    You will collaborate with various E&BI teams, IT teams, and external partners/vendors to deliver comprehensive data insights and analytics supporting ethical practices and business integrity.

    What You’ll Do

    • Identify opportunities for data-informed reporting and analytics within E&BI.
    • Assess relevant data sources availability across the organization.
    • Develop data analytics models to generate insights related to ethics and business integrity.
    • Deploy and evaluate data analytics solutions and communicate results effectively ….

    Interested? For this role we’re looking for the following education, experience and skills

    • Excellent analytical skills for identifying trends and insights from data.
    • Experience with compliance monitoring approaches preferred.
    • Strong knowledge and interest in data (Data Visualization/BI Tools, Coding Languages & Tools).
    • Effective communication skills, including presentations and clear writing.
    • Ability to influence stakeholders to maximize the impact of ethics and integrity analytics.
    • Proven problem-solving skills and the ability to work independently.

    Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!

    About Us

    UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are around 8,500 people in all four corners of the globe, inspired by patients and driven by science.

    Why work with us?

    At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equitable opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential.

    UCB and its subsidiaries encourage diversity and inclusion in the workplace; we are an Equal Opportunity Employer. We do not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity.

    Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on EMEA-Reasonable_Accommodation@ucb.com . Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +4002687371,https://be.linkedin.com/jobs/view/marketing-data-analyst-at-harvey-nash-4002687371?position=36&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=WHzaLTdLGlD5OcGKvZgLHw%3D%3D&trk=public_jobs_jserp-result_search-card,Marketing Data Analyst,Harvey Nash,"Leuven, Flemish Region, Belgium","Description: + + + + +As a medior Data Analyst, you have at least 2-5 years of experience in analysing data (such as customer-centric data, reference data, transactional data, accounting data,...) to enable sound decision making : + +- You identify and collect data using specific tools or techniques; + +- You analyse and extract key data and information; + +- You describe functional mapping towards targets; + +- You model and define transformation rules to meet the organization's needs and requirements; + +- You assist and participate in data validation and cleaning to ensure the quality and integrity of data throughout the whole chain; + +- You provide reports that enable the 'business' in their decision making. + +Next to a proven experience in data management, you have the following core competences : Agile Methodologies, Analytical thinking, Collaborating, Customer orientation, Data driven. + + + + +As a marketing analyst you are responsible for providing data-driven insights into the behavior of our (potential) customers, in order to continuously monitor and optimize the customer journey where necessary + + + + +Technical skills: + +Adobe Analytics +Adobe Target +Google Analytics + + + + +Language skills: + +Dutch +English +Show more ","
    + + + + + +
    +
    +

    Description:


    As a medior Data Analyst, you have at least 2-5 years of experience in analysing data (such as customer-centric data, reference data, transactional data, accounting data,...) to enable sound decision making :

    - You identify and collect data using specific tools or techniques;

    - You analyse and extract key data and information;

    - You describe functional mapping towards targets;

    - You model and define transformation rules to meet the organization's needs and requirements;

    - You assist and participate in data validation and cleaning to ensure the quality and integrity of data throughout the whole chain;

    - You provide reports that enable the 'business' in their decision making.

    Next to a proven experience in data management, you have the following core competences : Agile Methodologies, Analytical thinking, Collaborating, Customer orientation, Data driven.


    As a marketing analyst you are responsible for providing data-driven insights into the behavior of our (potential) customers, in order to continuously monitor and optimize the customer journey where necessary


    Technical skills:

    • Adobe Analytics
    • Adobe Target
    • Google Analytics


    Language skills:

    • Dutch
    • English
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4004953191,https://be.linkedin.com/jobs/view/senior-data-analyst-%E2%80%93-fully-remote-at-epi-company-4004953191?position=39&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=5qmtTlFO8ifo%2F3xbmiDZTQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst – Fully Remote,EPI Company,"Brussels, Brussels Region, Belgium","🚀 Be part of a movement to change the way Europe pays + +You will be part of our mission at EPI to build and deliver a meaningful European payment solution. +Together, we want to enable a stronger European payment ecosystem by acting as both bridge and builder, delivering a payment solution for consumers across Europe. + +🔎 What's in it for you + +Are you passionate about data and eager to make a significant impact on the largest payment initiatives in Europe? We are seeking a talented Senior Data Analyst to join our dynamic team. In this role, you will leverage your analytical skills to drive insights and innovations across various departments and help shape the future of payment solutions across the continent. + +💥 Your impact + +Dashboard Development: + +Design and build interactive and visually compelling dashboards using Tableau. +Collaborate with stakeholders to understand their requirements and translate them into technical solutions. +Ensure data accuracy and integrity in all reporting outputs. + +Data modelling, analysis & Reporting: + +Analyze large sets of data from our events database and other sources. +Translate business knowledge to data models for reporting needs. +Develop, implement, and maintain robust data models. + +Data Mining & Insights: + +Perform deep-dive analyses to uncover insights and trends within the data. +Use data mining techniques to identify opportunities for improving business processes and decision-making. +Present findings and recommendations to senior management and other stakeholders. + +Collaboration & Communication: + +Work closely with cross-functional teams including marketing, product, finance, and operations to support their analytics needs. +Provide training and support to end-users on how to leverage dashboards and data insights. +Stay updated with the latest industry trends and best practices in data analytics and business intelligence. + +💻 Technology stack + +Primary: DBT, Databricks, Tableau, AWS Kinesis, Github +Secondary: Terraform, MongoDB, Event-sourcing + + +🕵🏻‍♀️ To succeed, you should meet at least 70% of these requirements + ++6 years of professional experience in data analysis and business intelligence. +Bachelor’s degree in Computer Science, Statistics, Quantitative Economics, Engineering, or a related STEM field; a Master’s degree is a plus. +Expert-level proficiency in Tableau for dashboard creation and data visualization. +Proficiency in data analysis tools and languages such as SQL and Python/R. +Excellent problem-solving skills with a strong attention to detail. +Knowledge of machine learning techniques and their applications in business analytics. +Experience in the payment processing industry. +Experience with collaborative CI/CD using GitHub. +Familiarity with event sourcing data models. + +🐝 About the team + +You’ll be part of a Pan-European Product and Engineering team that operates in an Agile environment. You’ll work closely — but fully remotely — with experts in Web Dev, Mobile Dev, Backend Dev, QA and DevOps from Germany, France, the Netherlands, Poland, and other European locations. + + +🪜 If this looks like you, the recruitment steps are: + +A first call with one of our recruiters +A Technical interview with our Data Project Lead +A final interview with our Head of Engineering +Hopefully, an offer you can’t refuse + + + +⛔ Turn back if … + +You don’t have advanced experience using Tableau for dashboard creation and data visualization. +You don’t have advanced experience in data analysis tools and languages such as SQL and Python/R. + +                                                                       Otherwise apply! + + +€ Who are we? + +The European Payments Initiative has a unique role in bringing together the various players in the payment industry. We are creating an innovative, future-proof payment solution designed to meet the needs of merchants, professionals, charities and other organisations that accept payments and to enhance the everyday lives of consumers in Europe. + +We believe that the whole is greater than the sum of its parts; EPI acts as a bridge, giving banks and other payment service providers the opportunity to combine innovation efforts and to address shared challenges together. EPI is a catalyst for change, enabling banks, payment service providers, payment gateways and merchants to contribute collectively to the continued strength and resilience of the European Union. + +We want to start and grow a new movement with the potential to change the way people across Europe pay in the future. + + + +🫶 Our commitment to equal employment opportunities + +EPI offers the same job opportunities to all, without distinction of gender, ethnicity, religion, sexual orientation, social status, disability or age. EPI promotes the development of an inclusive work environment that mirrors the diversity of the clients our product is serving. + +Show more ","
    + + + + + +
    +
    +

    🚀 Be part of a movement to change the way Europe pays

    You will be part of our mission at EPI to build and deliver a meaningful European payment solution.
    Together, we want to enable a stronger European payment ecosystem by acting as both bridge and builder, delivering a payment solution for consumers across Europe.

    🔎 What's in it for you

    Are you passionate about data and eager to make a significant impact on the largest payment initiatives in Europe? We are seeking a talented Senior Data Analyst to join our dynamic team. In this role, you will leverage your analytical skills to drive insights and innovations across various departments and help shape the future of payment solutions across the continent.

    💥 Your impact

    Dashboard Development:

    • Design and build interactive and visually compelling dashboards using Tableau.
    • Collaborate with stakeholders to understand their requirements and translate them into technical solutions.
    • Ensure data accuracy and integrity in all reporting outputs.

    Data modelling, analysis & Reporting:

    • Analyze large sets of data from our events database and other sources.
    • Translate business knowledge to data models for reporting needs.
    • Develop, implement, and maintain robust data models.

    Data Mining & Insights:

    • Perform deep-dive analyses to uncover insights and trends within the data.
    • Use data mining techniques to identify opportunities for improving business processes and decision-making.
    • Present findings and recommendations to senior management and other stakeholders.

    Collaboration & Communication:

    • Work closely with cross-functional teams including marketing, product, finance, and operations to support their analytics needs.
    • Provide training and support to end-users on how to leverage dashboards and data insights.
    • Stay updated with the latest industry trends and best practices in data analytics and business intelligence.

    💻 Technology stack

    • Primary: DBT, Databricks, Tableau, AWS Kinesis, Github
    • Secondary: Terraform, MongoDB, Event-sourcing

    🕵🏻‍♀️ To succeed, you should meet at least 70% of these requirements

    • +6 years of professional experience in data analysis and business intelligence.
    • Bachelor’s degree in Computer Science, Statistics, Quantitative Economics, Engineering, or a related STEM field; a Master’s degree is a plus.
    • Expert-level proficiency in Tableau for dashboard creation and data visualization.
    • Proficiency in data analysis tools and languages such as SQL and Python/R.
    • Excellent problem-solving skills with a strong attention to detail.
    • Knowledge of machine learning techniques and their applications in business analytics.
    • Experience in the payment processing industry.
    • Experience with collaborative CI/CD using GitHub.
    • Familiarity with event sourcing data models.

    🐝 About the team

    You’ll be part of a Pan-European Product and Engineering team that operates in an Agile environment. You’ll work closely — but fully remotely — with experts in Web Dev, Mobile Dev, Backend Dev, QA and DevOps from Germany, France, the Netherlands, Poland, and other European locations.

    🪜 If this looks like you, the recruitment steps are:

    1. A first call with one of our recruiters
    2. A Technical interview with our Data Project Lead
    3. A final interview with our Head of Engineering
    4. Hopefully, an offer you can’t refuse

    ⛔ Turn back if …

    • You don’t have advanced experience using Tableau for dashboard creation and data visualization.
    • You don’t have advanced experience in data analysis tools and languages such as SQL and Python/R.

                                                                           Otherwise apply!

    € Who are we?

    The European Payments Initiative has a unique role in bringing together the various players in the payment industry. We are creating an innovative, future-proof payment solution designed to meet the needs of merchants, professionals, charities and other organisations that accept payments and to enhance the everyday lives of consumers in Europe.

    We believe that the whole is greater than the sum of its parts; EPI acts as a bridge, giving banks and other payment service providers the opportunity to combine innovation efforts and to address shared challenges together. EPI is a catalyst for change, enabling banks, payment service providers, payment gateways and merchants to contribute collectively to the continued strength and resilience of the European Union.

    We want to start and grow a new movement with the potential to change the way people across Europe pay in the future.

    🫶 Our commitment to equal employment opportunities

    EPI offers the same job opportunities to all, without distinction of gender, ethnicity, religion, sexual orientation, social status, disability or age. EPI promotes the development of an inclusive work environment that mirrors the diversity of the clients our product is serving.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3994603810,https://be.linkedin.com/jobs/view/analyste-de-donn%C3%A9es-at-sii-group-belgium-3994603810?position=40&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=ltre%2B0vmwde7yPT4ATaNig%3D%3D&trk=public_jobs_jserp-result_search-card,Analyste de données,SII Group Belgium,Brussels Metropolitan Area,"SII Belgium is currently seeking a highly skilled and experienced Big Data to join our team. As a Big Data Analyst, you will be responsible for designing, developing, and implementing big data solutions to support business objectives. You will work with large, complex data sets and be responsible for analyzing and interpreting data to identify trends and insights. . You would join various teams working in the Energy, Retail, Banking or Telecom sectors. + + + + +SII is a European digital and engineering services company of 16,000 experts. SII Belgium supports large businesses in adopting new technologies and innovation management. SII values empowerment and entrepreneurship, providing a fulfilling work environment for employees. Our mission is to contribute to the design and development of future products and services for customers. SII is committed to a sustainable digital world and is recognized as a Great Workplace. + + + + +Key Responsibilities: + +Develop and maintain big data solutions to support business objectives +Analyze and interpret large, complex data sets to identify trends and insights +Collaborate with cross-functional teams to identify and implement data-driven solutions +Create and maintain data visualization and reporting tools to support decision-making +Integration between enterprise architecture and data collection. +Stay up to date with industry trends and technologies to identify new opportunities for data analysis + + + + +Qualifications: + +You hold a bachelor’s or master’s degree in IT. +Minimum of 3 years of experience working with data technologies such as Hadoop, Spark, Hive… +Strong analytical skills and experience using statistical techniques to interpret data +Experience with data visualization and reporting tools such as Tableau and Power BI +Excellent communication and collaboration skills +You are fluent in Dutch or French, and fluent in English. + + + + +We offer: + +A challenging and varied role in a growing company +Opportunity to work with the latest technologies +Competitive salary and benefits +Opportunity to improve your skills and knowledge through training and education +Warm and open company culture, supported by an international group + + + + +If you are passionate about Data and want to work in a dynamic and fast-paced environment, we encourage you to apply for this exciting opportunity at SII Belgium + +Show more ","
    + + + + + +
    +
    +

    SII Belgium is currently seeking a highly skilled and experienced Big Data to join our team. As a Big Data Analyst, you will be responsible for designing, developing, and implementing big data solutions to support business objectives. You will work with large, complex data sets and be responsible for analyzing and interpreting data to identify trends and insights. . You would join various teams working in the Energy, Retail, Banking or Telecom sectors.


    SII is a European digital and engineering services company of 16,000 experts. SII Belgium supports large businesses in adopting new technologies and innovation management. SII values empowerment and entrepreneurship, providing a fulfilling work environment for employees. Our mission is to contribute to the design and development of future products and services for customers. SII is committed to a sustainable digital world and is recognized as a Great Workplace.


    Key Responsibilities:

    • Develop and maintain big data solutions to support business objectives
    • Analyze and interpret large, complex data sets to identify trends and insights
    • Collaborate with cross-functional teams to identify and implement data-driven solutions
    • Create and maintain data visualization and reporting tools to support decision-making
    • Integration between enterprise architecture and data collection.
    • Stay up to date with industry trends and technologies to identify new opportunities for data analysis


    Qualifications:

    • You hold a bachelor’s or master’s degree in IT.
    • Minimum of 3 years of experience working with data technologies such as Hadoop, Spark, Hive…
    • Strong analytical skills and experience using statistical techniques to interpret data
    • Experience with data visualization and reporting tools such as Tableau and Power BI
    • Excellent communication and collaboration skills
    • You are fluent in Dutch or French, and fluent in English.


    We offer:

    • A challenging and varied role in a growing company
    • Opportunity to work with the latest technologies
    • Competitive salary and benefits
    • Opportunity to improve your skills and knowledge through training and education
    • Warm and open company culture, supported by an international group


    If you are passionate about Data and want to work in a dynamic and fast-paced environment, we encourage you to apply for this exciting opportunity at SII Belgium

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3988557031,https://be.linkedin.com/jobs/view/analyste-de-donn%C3%A9es-at-sii-group-belgium-3988557031?position=41&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=qF4PbkGnRoYG0xd40yZVNw%3D%3D&trk=public_jobs_jserp-result_search-card,Analyste de données,SII Group Belgium,Brussels Metropolitan Area,"SII Belgium is currently seeking a highly skilled and experienced Big Data to join our team. As a Big Data Analyst, you will be responsible for designing, developing, and implementing big data solutions to support business objectives. You will work with large, complex data sets and be responsible for analyzing and interpreting data to identify trends and insights. . You would join various teams working in the Energy, Retail, Banking or Telecom sectors. + + + + +SII is a European digital and engineering services company of 16,000 experts. SII Belgium supports large businesses in adopting new technologies and innovation management. SII values empowerment and entrepreneurship, providing a fulfilling work environment for employees. Our mission is to contribute to the design and development of future products and services for customers. SII is committed to a sustainable digital world and is recognized as a Great Workplace. + +Key Responsibilities: + +Develop and maintain big data solutions to support business objectives +Analyze and interpret large, complex data sets to identify trends and insights +Collaborate with cross-functional teams to identify and implement data-driven solutions +Create and maintain data visualization and reporting tools to support decision-making +Integration between enterprise architecture and data collection. +Stay up to date with industry trends and technologies to identify new opportunities for data analysis + + + + +Qualifications: + +You hold a bachelor’s or master’s degree in IT or any other relevant field. +Minimum of 2 years of experience working with data technologies such as Hadoop, Spark, Hive… +Strong analytical skills and experience using statistical techniques to interpret data +Experience with data visualization and reporting tools such as Tableau and Power BI +Excellent communication and collaboration skills +Strong problem-solving abilities and attention to detail +You are fluent in Dutch and/or French, and fluent in English. + + + + +We offer: + +A challenging and varied role in a growing company +Opportunity to work with the latest technologies +Competitive salary and benefits +Opportunity to improve your skills and knowledge through training and education +Warm and open company culture, supported by an international group + + + + +If you are passionate about Data and want to work in a dynamic and fast-paced environment, we encourage you to apply for this exciting opportunity at SII Belgium. + +Show more ","
    + + + + + +
    +
    +

    SII Belgium is currently seeking a highly skilled and experienced Big Data to join our team. As a Big Data Analyst, you will be responsible for designing, developing, and implementing big data solutions to support business objectives. You will work with large, complex data sets and be responsible for analyzing and interpreting data to identify trends and insights. . You would join various teams working in the Energy, Retail, Banking or Telecom sectors.


    SII is a European digital and engineering services company of 16,000 experts. SII Belgium supports large businesses in adopting new technologies and innovation management. SII values empowerment and entrepreneurship, providing a fulfilling work environment for employees. Our mission is to contribute to the design and development of future products and services for customers. SII is committed to a sustainable digital world and is recognized as a Great Workplace.

    Key Responsibilities:

    • Develop and maintain big data solutions to support business objectives
    • Analyze and interpret large, complex data sets to identify trends and insights
    • Collaborate with cross-functional teams to identify and implement data-driven solutions
    • Create and maintain data visualization and reporting tools to support decision-making
    • Integration between enterprise architecture and data collection.
    • Stay up to date with industry trends and technologies to identify new opportunities for data analysis


    Qualifications:

    • You hold a bachelor’s or master’s degree in IT or any other relevant field.
    • Minimum of 2 years of experience working with data technologies such as Hadoop, Spark, Hive…
    • Strong analytical skills and experience using statistical techniques to interpret data
    • Experience with data visualization and reporting tools such as Tableau and Power BI
    • Excellent communication and collaboration skills
    • Strong problem-solving abilities and attention to detail
    • You are fluent in Dutch and/or French, and fluent in English.


    We offer:

    • A challenging and varied role in a growing company
    • Opportunity to work with the latest technologies
    • Competitive salary and benefits
    • Opportunity to improve your skills and knowledge through training and education
    • Warm and open company culture, supported by an international group


    If you are passionate about Data and want to work in a dynamic and fast-paced environment, we encourage you to apply for this exciting opportunity at SII Belgium.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-31,[] +4004160951,https://be.linkedin.com/jobs/view/data-analyst-at-atcon-global-4004160951?position=42&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=wAgbQLe3zDIyIXw2YIs9pQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,ATCON GLOBAL,"Leuven, Flemish Region, Belgium","Location: Leuven, Belgium + +Languages: Dutch + +Start Date: ASAP + + + + +Context of Mission + +Our client is seeking a Medior Data Analyst with at least 2-5 years of experience in analysing data (such as customer-centric data, reference data, transactional data, accounting data,...) + +To enable sound decision making: + +- You identify and collect data using specific tools or techniques; + +- You analyse and extract key data and information; + +- You describe functional mapping towards targets; + +- You model and define transformation rules to meet the organization's needs and requirements; + +- You assist and participate in data validation and cleaning to ensure the quality and integrity of data throughout the whole chain; + +- You provide reports that enable the 'business' in their decision making. + + + + +Technical skills + +Knowledge and experience with Adobe Analytics +Knowledge and experience with Adobe Target +Knowledge and experience with Google Analytics + + + + +Next to a proven experience in data management, you have the following core competences: + +Agile Methodologies, Analytical thinking, Collaborating, Customer orientation, Data driven. + +Show more ","
    + + + + + +
    +
    +

    Location: Leuven, Belgium

    Languages: Dutch

    Start Date: ASAP


    Context of Mission

    Our client is seeking a Medior Data Analyst with at least 2-5 years of experience in analysing data (such as customer-centric data, reference data, transactional data, accounting data,...)

    To enable sound decision making:

    - You identify and collect data using specific tools or techniques;

    - You analyse and extract key data and information;

    - You describe functional mapping towards targets;

    - You model and define transformation rules to meet the organization's needs and requirements;

    - You assist and participate in data validation and cleaning to ensure the quality and integrity of data throughout the whole chain;

    - You provide reports that enable the 'business' in their decision making.


    Technical skills

    • Knowledge and experience with Adobe Analytics
    • Knowledge and experience with Adobe Target
    • Knowledge and experience with Google Analytics


    Next to a proven experience in data management, you have the following core competences:

    Agile Methodologies, Analytical thinking, Collaborating, Customer orientation, Data driven.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +4004929231,https://be.linkedin.com/jobs/view/data-visualization-specialist-at-capitole-4004929231?position=45&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=pVP1xHF8ko2eDQ5jK2T53Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Visualization Specialist,Capitole,Brussels Metropolitan Area,"🔵 Capitole is still growing and we want to do it with you! 🚀 + + + + +We are seeking a talented Data Visualization Specialist to join one of our client. In this role, you will play a crucial part in supporting our internal clients with cutting-edge data visualization and reporting solutions. As we continue to evolve in a landscape of sales performance transformation and digitalization, your expertise will be essential in delivering impactful Tableau dashboards that drive informed decision-making. + + + + +🤖 Responsabilities and Requirements: + +Collaborate with stakeholders to identify reporting and visualization needs, translating them into Tableau dashboards. +Present and refine dashboards based on stakeholder feedback. +Create, maintain, and optimize dashboards while ensuring alignment with data governance standards. +Focus on automation and work with Data Engineers to build sustainable data structures. +Perform light data prep and advocate for best practices in reporting and data visualization. +Act as a guardian and ambassador for data governance within the team. + + + + +🛠️ Technical Requirements: + +Strong experience in Tableau dashboard creation and maintenance. +Proficient in SQL for writing and understanding queries. +Familiarity with ETL tools (e.g., SAS Programming, SAS EGP) and DBMS systems (e.g., Oracle, Sybase). +Fluent in French or Dutch, with English fluency required. + + + + +🎉 Why Capitole? + +🤝 Our employees come first. We believe in a different, more human model, placing people at the center of our company. + + + + +📜 Permanent contract or Freelancing +🚗 Company car +🏥 Health Insurance with DKV +🍽️ Meal voucher +🏠💼 Hybrid working: 2 days per week at the office. Brussels + + + + +Don't know us yet? Discover us!! + + + + +Home - Capitole Consulting + + + + + + + +Don't hesitate to send us your profile, we are looking forward to meeting you! ☎📩 + +Show more ","
    + + + + + +
    +
    +

    🔵 Capitole is still growing and we want to do it with you! 🚀


    We are seeking a talented Data Visualization Specialist to join one of our client. In this role, you will play a crucial part in supporting our internal clients with cutting-edge data visualization and reporting solutions. As we continue to evolve in a landscape of sales performance transformation and digitalization, your expertise will be essential in delivering impactful Tableau dashboards that drive informed decision-making.


    🤖 Responsabilities and Requirements:

    • Collaborate with stakeholders to identify reporting and visualization needs, translating them into Tableau dashboards.
    • Present and refine dashboards based on stakeholder feedback.
    • Create, maintain, and optimize dashboards while ensuring alignment with data governance standards.
    • Focus on automation and work with Data Engineers to build sustainable data structures.
    • Perform light data prep and advocate for best practices in reporting and data visualization.
    • Act as a guardian and ambassador for data governance within the team.


    🛠️ Technical Requirements:

    • Strong experience in Tableau dashboard creation and maintenance.
    • Proficient in SQL for writing and understanding queries.
    • Familiarity with ETL tools (e.g., SAS Programming, SAS EGP) and DBMS systems (e.g., Oracle, Sybase).
    • Fluent in French or Dutch, with English fluency required.


    🎉 Why Capitole?

    🤝 Our employees come first. We believe in a different, more human model, placing people at the center of our company.


    • 📜 Permanent contract or Freelancing
    • 🚗 Company car
    • 🏥 Health Insurance with DKV
    • 🍽️ Meal voucher
    • 🏠💼 Hybrid working: 2 days per week at the office. Brussels


    Don't know us yet? Discover us!!


    Home - Capitole Consulting



    Don't hesitate to send us your profile, we are looking forward to meeting you! ☎📩

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +3982880883,https://be.linkedin.com/jobs/view/job-data-analyst-technology-bruxelles-at-belfius-3982880883?position=46&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=OhWuiKWjFpzkG41Sd8AROQ%3D%3D&trk=public_jobs_jserp-result_search-card,Job | Data Analyst Technology | Bruxelles,Belfius,"Brussels, Brussels Region, Belgium","Description + +Vous élevez le reporting stratégique au sein du Corporate Office du CTO à un niveau supérieur. + +Grâce à votre data modeling & analytics, votre contrôle strict, votre suivi des KPI et vos dashboards clairs, la direction peut évaluer efficacement les résultats et prendre les bonnes décisions. + +Votre job en deux mots + +En étroite collaboration avec les directeurs et les équipes du département Technology, vous assurez un flux correct de données, vous développez des rapports globaux, des KPI-dashboards et des analyses pour soutenir les opérations et la stratégie. + +De plus, vous pouvez vous développer et élargir vos connaissances en accompagnant les équipes qui utilisent les rapports et les dashboards et en réfléchissant activement à l'optimisation et à la maturité. + + +Vous discutez avec différentes équipes pour comprendre de quelles informations elles ont besoin et vous effectuez une analyse fonctionnelle. +Vous synthétisez les sources de données et les exigences de reporting dans un data model qui prend en charge les rapports requis. +Vous collectez et analysez des données. +Vous êtes responsable du traitement et du téléchargement des données. +Vous créez des rapports et dashboards BI personnalisés. + + + +Pas besoin d’être un oiseau rare + +Chez nous, vous pouvez vous distinguer et révéler le meilleur de vous-même si vous répondez aux critères suivants : + + +Êtes passionné par la technologie et vous avez envie de mettre en pratique vos connaissances dans le monde de la banque et de l'assurance. +Est titulaire d'un baccalauréat ou d'un master, de préférence en informatique, en ingénierie, en sciences ou dans une direction économique et/ou vous avez déjà une certaine expérience en informatique. +A une bonne dose de curiosité pour les analyses, les chiffres et l'optimisation des processus. +Utilise Excel comme verbe, mais continue toujours en expliquant comment nous pouvons travailler encore plus efficacement en utilisant data analystics/BI. +Possède une connaissance courante du néerlandais ou du français et de l'anglais. + + + +Vous marquez un supplément avec : + + +De l'expérience en analyse fonctionnelle ou business. +De l'expérience avec les outils BI (PowerBI, Qlik,...). +De l'expérience de la mise à niveau d'Excel vers PowerQuery et/ou PowerBI. + + + +Belfius prend soin de ses talents + +Outre la possibilité de faire votre chemin dans un job qui vous plaît, nous vous offrons un contrat à temps plein à durée indéterminée avec : + + +Un salaire attractif complété par une offre innovante vous octroyant un budget à utiliser selon vos préférences personnelles (p. ex. voiture, vélo, PC, smartphone, tablette, loyer ou crédit hypothécaire sous certaines conditions) et des avantages extralégaux, tels que des chèques-repas, des avantages sur les produits et services internes, une assurance hospitalisation et une assurance groupe. +Des possibilités de développement par le biais d'un large éventail de formations et des opportunités de carrière dans l’ensemble du groupe Belfius. +Un bon équilibre entre vie professionnelle et vie privée grâce à des horaires flexibles, à la combinaison du travail au bureau et à domicile et un nombre attractif de jours de congé. +Un lieu de travail moderne au cœur de Bruxelles, avec une salle de sport branchée, un délicieux restaurant sain et des espaces de réunion confortables, le tout à quelques pas de la rue commerciale, de la gare Bruxelles-Nord et de la station métro Rogier. +Show more ","
    + + + + + +
    +
    + Description

    Vous élevez le reporting stratégique au sein du Corporate Office du CTO à un niveau supérieur.

    Grâce à votre data modeling & analytics, votre contrôle strict, votre suivi des KPI et vos dashboards clairs, la direction peut évaluer efficacement les résultats et prendre les bonnes décisions.

    Votre job en deux mots

    En étroite collaboration avec les directeurs et les équipes du département Technology, vous assurez un flux correct de données, vous développez des rapports globaux, des KPI-dashboards et des analyses pour soutenir les opérations et la stratégie.

    De plus, vous pouvez vous développer et élargir vos connaissances en accompagnant les équipes qui utilisent les rapports et les dashboards et en réfléchissant activement à l'optimisation et à la maturité.

    • Vous discutez avec différentes équipes pour comprendre de quelles informations elles ont besoin et vous effectuez une analyse fonctionnelle.
    • Vous synthétisez les sources de données et les exigences de reporting dans un data model qui prend en charge les rapports requis.
    • Vous collectez et analysez des données.
    • Vous êtes responsable du traitement et du téléchargement des données.
    • Vous créez des rapports et dashboards BI personnalisés.


    Pas besoin d’être un oiseau rare

    Chez nous, vous pouvez vous distinguer et révéler le meilleur de vous-même si vous répondez aux critères suivants :

    • Êtes passionné par la technologie et vous avez envie de mettre en pratique vos connaissances dans le monde de la banque et de l'assurance.
    • Est titulaire d'un baccalauréat ou d'un master, de préférence en informatique, en ingénierie, en sciences ou dans une direction économique et/ou vous avez déjà une certaine expérience en informatique.
    • A une bonne dose de curiosité pour les analyses, les chiffres et l'optimisation des processus.
    • Utilise Excel comme verbe, mais continue toujours en expliquant comment nous pouvons travailler encore plus efficacement en utilisant data analystics/BI.
    • Possède une connaissance courante du néerlandais ou du français et de l'anglais.


    Vous marquez un supplément avec :

    • De l'expérience en analyse fonctionnelle ou business.
    • De l'expérience avec les outils BI (PowerBI, Qlik,...).
    • De l'expérience de la mise à niveau d'Excel vers PowerQuery et/ou PowerBI.


    Belfius prend soin de ses talents

    Outre la possibilité de faire votre chemin dans un job qui vous plaît, nous vous offrons un contrat à temps plein à durée indéterminée avec :

    • Un salaire attractif complété par une offre innovante vous octroyant un budget à utiliser selon vos préférences personnelles (p. ex. voiture, vélo, PC, smartphone, tablette, loyer ou crédit hypothécaire sous certaines conditions) et des avantages extralégaux, tels que des chèques-repas, des avantages sur les produits et services internes, une assurance hospitalisation et une assurance groupe.
    • Des possibilités de développement par le biais d'un large éventail de formations et des opportunités de carrière dans l’ensemble du groupe Belfius.
    • Un bon équilibre entre vie professionnelle et vie privée grâce à des horaires flexibles, à la combinaison du travail au bureau et à domicile et un nombre attractif de jours de congé.
    • Un lieu de travail moderne au cœur de Bruxelles, avec une salle de sport branchée, un délicieux restaurant sain et des espaces de réunion confortables, le tout à quelques pas de la rue commerciale, de la gare Bruxelles-Nord et de la station métro Rogier.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +3986503129,https://be.linkedin.com/jobs/view/business-intelligence-analyst-at-bnp-paribas-3986503129?position=47&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=y%2Fk2dGhZGB4xwcqRgwNwKw%3D%3D&trk=public_jobs_jserp-result_search-card,Business Intelligence Analyst,BNP Paribas,"Uccle, Brussels Region, Belgium","Leader du crédit à la consommation en Belgique et au Luxembourg, AlphaCredit fait partie du groupe BNP Paribas. De nos bureaux basés en face de la Gare Centrale de Bruxelles, nous proposons un éventail complet de solutions de crédit, par le biais de nos partenaires professionnels ou directement aux particuliers. AlphaCredit continue à se développer. C'est pourquoi nous sommes constamment à la recherche de nouveaux collègues dynamiques et désireux de grandir avec nous. + +Pour le service Operations Strategy & Projects, nous sommes à la recherche d’un(e) collègue (m/f) + +Business Intelligence Analyst + +Votre Fonction: + +Au sein de l’équipe ‘Operations Strategy & Projects’ nous sommes à la recherche d’un BI-Analyst passionné par les données et les chiffres. + + +Au sein des Operations, le BI Analyst s’assure que les différentes business units reçoivent une bonne vue sur le fonctionnement des services a travers la data, et ceci grâce à des Rapports, Dashboard et des analyses de datas +Le BI Analyst s’assure que le management dispose de la data nécessaire de façon à ce qu’ils peuvent prendre les bonnes décisions tactiques et stratégiques +Vous fournissez les rapports récurrents pour nos partenaires des Operations interne et externe +Analyser des données pour éclaircir la vue sur des procès business +Comme BI Analyst vous êtes le point de contact pour toutes les questions BI avec un rapport aux Operations et ceci aussi bien pour les différents départements au sein des Operations que pour la maison mère BNP PARIBAS + + + +Votre Profil : + + +Vous avez un esprit critique, analytique et logique +Vous avez de l’expérience avec la création des rapports et des Dashboards (via un outil BI comme BO, Cognos, …) +Vous disposez d’excellentes connaissances des applications Microsoft : Word, PowerPoint, Excel & Outlook +Vous parlez couramment le français ainsi que le néerlandais (à l'oral et à l'écrit) et disposez d'une bonne connaissance de l'anglais +Vous êtes précis(e) et organisé(e) dans votre travail +Vous faites preuve d'un réel esprit d'équipe, et travaillez de façon autonome et ciblée +Vous êtes résistant au stress + + + +Notre offre : + + +Nous vous offrons un emploi passionnant dans une entreprise en pleine expansion. +Nous vous offrons un contrat à durée indéterminée et un salaire compétitif, assorti d'un bonus lié aux performances et d'un large éventail d’avantages extralégaux (assurances, chèques-repas, jours de congé extralégaux,...). + + + +]]> +Show more ","
    + + + + + +
    +
    + Leader du crédit à la consommation en Belgique et au Luxembourg, AlphaCredit fait partie du groupe BNP Paribas. De nos bureaux basés en face de la Gare Centrale de Bruxelles, nous proposons un éventail complet de solutions de crédit, par le biais de nos partenaires professionnels ou directement aux particuliers. AlphaCredit continue à se développer. C'est pourquoi nous sommes constamment à la recherche de nouveaux collègues dynamiques et désireux de grandir avec nous.

    Pour le service Operations Strategy & Projects, nous sommes à la recherche d’un(e) collègue (m/f)

    Business Intelligence Analyst

    Votre Fonction:

    Au sein de l’équipe ‘Operations Strategy & Projects’ nous sommes à la recherche d’un BI-Analyst passionné par les données et les chiffres.

    • Au sein des Operations, le BI Analyst s’assure que les différentes business units reçoivent une bonne vue sur le fonctionnement des services a travers la data, et ceci grâce à des Rapports, Dashboard et des analyses de datas
    • Le BI Analyst s’assure que le management dispose de la data nécessaire de façon à ce qu’ils peuvent prendre les bonnes décisions tactiques et stratégiques
    • Vous fournissez les rapports récurrents pour nos partenaires des Operations interne et externe
    • Analyser des données pour éclaircir la vue sur des procès business
    • Comme BI Analyst vous êtes le point de contact pour toutes les questions BI avec un rapport aux Operations et ceci aussi bien pour les différents départements au sein des Operations que pour la maison mère BNP PARIBAS


    Votre Profil :

    • Vous avez un esprit critique, analytique et logique
    • Vous avez de l’expérience avec la création des rapports et des Dashboards (via un outil BI comme BO, Cognos, …)
    • Vous disposez d’excellentes connaissances des applications Microsoft : Word, PowerPoint, Excel & Outlook
    • Vous parlez couramment le français ainsi que le néerlandais (à l'oral et à l'écrit) et disposez d'une bonne connaissance de l'anglais
    • Vous êtes précis(e) et organisé(e) dans votre travail
    • Vous faites preuve d'un réel esprit d'équipe, et travaillez de façon autonome et ciblée
    • Vous êtes résistant au stress


    Notre offre :

    • Nous vous offrons un emploi passionnant dans une entreprise en pleine expansion.
    • Nous vous offrons un contrat à durée indéterminée et un salaire compétitif, assorti d'un bonus lié aux performances et d'un large éventail d’avantages extralégaux (assurances, chèques-repas, jours de congé extralégaux,...).


    ]]> +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +3989681642,https://be.linkedin.com/jobs/view/power-bi-expert-at-vallum-associates-3989681642?position=48&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=GbBGLeSFvvY%2B0fHLUNDDSg%3D%3D&trk=public_jobs_jserp-result_search-card,Power BI Expert,Vallum Associates,"Flemish Region, Belgium","My Belgian client is looking for a BI Expert for a freelance/contract role. + + + + +Requirements: + +Experience with Power BI +Database experience and Power BI +Experience with DAX and Power Query +Able to travel on site 2 days per week + + + + +If this position interests you, please send your CV to gsamuna@vallumassociates.com or contact me through this message. Additionally, let me know if you can recommend someone. + +Show more ","
    + + + + + +
    +
    +

    My Belgian client is looking for a BI Expert for a freelance/contract role.


    Requirements:

    • Experience with Power BI
    • Database experience and Power BI
    • Experience with DAX and Power Query
    • Able to travel on site 2 days per week


    If this position interests you, please send your CV to gsamuna@vallumassociates.com or contact me through this message. Additionally, let me know if you can recommend someone.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +3991566823,https://be.linkedin.com/jobs/view/graduate-marketing-data-analyst-at-canonical-3991566823?position=51&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=gJf6wdqvCJDBdL5lGAcn4Q%3D%3D&trk=public_jobs_jserp-result_search-card,Graduate Marketing Data Analyst,Canonical,"Brussels, Brussels Region, Belgium"," + +Bring your data analytics and data mining skills to a unique team seeking to understand and shape the future of marketing technology. We are interested in technology adoption patterns, the respect of visitors' data and the use of open source in marketing. We are also interested in those marketing data analysts who are curious enough to embrace new technologies and are ready to work with unfamiliar tools, if needed. + +The role of a Graduate Marketing Data Analyst at Canonical + +Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of innovation, for our customers and for our own martech stack. We're on the look out for a marketing data analyst to join our team and execute on our growth hacking strategy. + +The ideal candidate will be passionate about technology, technology marketing and the use of technology in marketing. You will prefer to work in an environment that has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier. + +The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships and community development. If these things are important to you and you're motivated by driving growth, delighting customers and filling the sales funnel, we want to talk with you. + +This role sits in the Marketing team reporting to the Growth Engineering Manager. + +Location: This role will be based remotely in the EMEA region. + +What your day will look like + + +Utilise advanced data analytics to grow Canonical's product adoption and market penetration +Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes +Design and conduct experiments with data, visualisation and insights into Canonical's target audiences +Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc) to improve the data and tool ecosystem +Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards + + +What we are looking for in you? + + +A recent graduate with background in data science, mathematics, actuarial science, or engineering +Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc) +Strength in data analytics and visualisation (Looker Studio, Tableau, Apache Superset, etc) +Ability to translate business questions to key research objectives +Ability to identify the best methodology to execute research, synthesise and analyse findings +Excellent writing and communication skills +Willingness to examine the status quo and resilient in the face of challenges + + +What we offer you + +Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. + +In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. + +🏠Fully remote working environment - we've been working remotely since 2004! + +📚Personal learning and development budget of 2,000 USD per annum + +💰Annual compensation review + +🏆Recognition rewards + +🏝 Annual holiday leave + +👶Parental Leave + +🧑‍💼Employee Assistance Programme + +🧳Opportunity to travel to new locations to meet colleagues at 'sprints' + +✈️Priority Pass for travel and travel upgrades for long haul company events + +About Canonical + +Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. + +Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. + +Canonical is an equal opportunity employer + +We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. + + +Show more ","
    + + + + + +
    +
    +

    Bring your data analytics and data mining skills to a unique team seeking to understand and shape the future of marketing technology. We are interested in technology adoption patterns, the respect of visitors' data and the use of open source in marketing. We are also interested in those marketing data analysts who are curious enough to embrace new technologies and are ready to work with unfamiliar tools, if needed.

    The role of a Graduate Marketing Data Analyst at Canonical

    Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of innovation, for our customers and for our own martech stack. We're on the look out for a marketing data analyst to join our team and execute on our growth hacking strategy.

    The ideal candidate will be passionate about technology, technology marketing and the use of technology in marketing. You will prefer to work in an environment that has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier.

    The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships and community development. If these things are important to you and you're motivated by driving growth, delighting customers and filling the sales funnel, we want to talk with you.

    This role sits in the Marketing team reporting to the Growth Engineering Manager.

    Location: This role will be based remotely in the EMEA region.

    What your day will look like

    • Utilise advanced data analytics to grow Canonical's product adoption and market penetration
    • Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
    • Design and conduct experiments with data, visualisation and insights into Canonical's target audiences
    • Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc) to improve the data and tool ecosystem
    • Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards

    What we are looking for in you?

    • A recent graduate with background in data science, mathematics, actuarial science, or engineering
    • Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
    • Strength in data analytics and visualisation (Looker Studio, Tableau, Apache Superset, etc)
    • Ability to translate business questions to key research objectives
    • Ability to identify the best methodology to execute research, synthesise and analyse findings
    • Excellent writing and communication skills
    • Willingness to examine the status quo and resilient in the face of challenges

    What we offer you

    Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

    In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.

    🏠Fully remote working environment - we've been working remotely since 2004!

    📚Personal learning and development budget of 2,000 USD per annum

    💰Annual compensation review

    🏆Recognition rewards

    🏝 Annual holiday leave

    👶Parental Leave

    🧑‍💼Employee Assistance Programme

    🧳Opportunity to travel to new locations to meet colleagues at 'sprints'

    ✈️Priority Pass for travel and travel upgrades for long haul company events

    About Canonical

    Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

    Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

    Canonical is an equal opportunity employer

    We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3999751977,https://be.linkedin.com/jobs/view/data-analytics-power-bi-at-carmeuse-3999751977?position=52&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=AaBr%2Fqvfxz0Rvy84D9d%2FCQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data & Analytics (Power BI),Carmeuse,"Ottignies-Louvain-la-Neuve, Walloon Region, Belgium","Job Description + +As our new Data & Analytics team member, you will drive the development of global consolidation and corporate performance management processes using Azure, MS-SQL, Tagetik, MDM, and Power BI Fabric technologies. + +You also will collaborate closely with business stakeholders, bridging requirements to data modeling. + +You will engage with Data Warehouse team throughout specifications, development, validation, and post-development support phases; design and create new datasets and reports in Power BI Online and Excel. + +You will finally provide coaching and training to business users across various domains (Sales, Finance, HR, etc.) on Power BI Desktop and internal applications, and support end users in adopting new systems and consolidation workflows. + +Responsibilities & Duties + +As the new Data & Analytics employee, your responsibilities will turn across different points: + +Projects: + + +You act as primary Power BI stakeholder for system development and enhancements +And collaborate with BI Manager and Business Owner(s) on corporate reporting functionalities +You also conduct technical and integration tests for new applications and programs. + + +System and Interfaces Support: + + +You have to manage Power BI Online and MDM for all users (installation, configuration) +Install and validate system updates +And also, document and update system procedures. + + +Application Support: + + +You enhance and maintain existing reports and processes +And analyze and implement new functionalities or reports. + + +Users Support: + + +You offer guidance, support, and coaching to users +Develop training documentation and conduct user training +And finally assist business owners in validating data and reports. + + +Your Profile + + +Bachelor’s Degree preferred, or equivalent combination of education, training, and experience +3+ years of MS-SQL and Power BI (or Equivalent Reporting) experience +Strong grasp of MS-SQL database management (Management Studio, Visual Studio) +Demonstrated experience in hands-on training for application/report users +Knowledge of Microsoft Azure and Data Warehouses environments +Familiarity with SAP (ECC, HCM, and BW) +Proficiency in understanding programming languages: SQL, DAX, and Python +Fluent in English +Limited International travel required +You are a person well organized, reliable, who likes to support the business and building the bridges. + + +Preferred Experience: + + +Experience with TimeXtender or equivalent data integration applications +Knowledge of Azure Data Factory and Microsoft Fabric +Knowledge of Standard API Integration workflows +Experience supporting or implementing a Master Data Management system, including data governance, business glossary, and metadata management tools. + + +The Data & Analytics Team: + +The Data & Analytics team has the mission to empower our organization through data driven insights and analytics. In order to do this the team is in the process of building a robust and scalable modern data platform. Besides the current role, the team is composed of BI analysts, data engineers, system architects and business analysts for data governance. Geographically the team is based in the US and Belgium, its responsibilities extend to all parts of the Carmeuse Group globally. Working within our team you will be responsible to further develop and manage our corporate performance management tool used for financial consolidation, budgeting and planning. + +You Future Manager + +Brian Culp, is the manager and has worked at Carmeuse since July 2020. He brings over a decade of experience in data management and reporting, along with 6+ years of expertise in Power BI. His deep understanding of commercial and industrial operations underscores the importance of consistent and accurate data consolidation. Brian’s leadership style is built on trust, integrity, and support. He is committed to creating a supportive and open atmosphere where individual contributions are valued, and professional growth is a priority. He actively encourages honest input from his team, fostering a collaborative environment that enhances efficiency and performance and ensures reliable and practical solutions for their internal customers. + +The Recruitment Process: + +As the recruitment process, what do you think of these steps: + + +Olivia Braszko, our Talent Acquisition Lead will analyze your Résumé and cover letter +A first ""Teams"" interview will be scheduled with Olivia. You will take 2 personality questionnaires. She will want to know more about you, as a person and as a professional. She will assess your motivations and answer to your questions +You will have a second interview with Brian Culp (our BI Manager) and Aurelie Mordant (our HRBP) +The last interview will take place with John Verkaik (our Group Data Analytics Director). + + +Why Carmeuse? + +We truly believe that where you work matters and, as a family business, we know what makes our employees happy! + + +Permanent +Flexible working hours +Home working policy +Competitive salary package and benefits +A lot of growing possibilities +A strong HR and training policy to develop your skills +Work life balance. + + +About Us + +READY TO JOIN A ROCK-SOLID FAMILY? + +Carmeuse started out as a small family-run business in Belgium. + +Today it’s a leading global producer of lime, high calcium limestone and dolomitic stone. Its products are essential to energy producers, environmental services, construction and manufacturing. + +With over 90 production facilities spread across almost every continent, and over 4,500 employees working at Carmeuse every day, the company’s most treasured resources are its people. + +Carmeuse is dedicated to maintaining a workplace that fosters equal opportunity and creates a diverse and inclusive work environment. All qualified applicants will be considered for employment regardless of race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation or gender identity. If you require particular assistance with any part of the application or hiring process due to a disability, you can submit your request by sending an email to hrsupport@carmeuse.com. This option is reserved for people requiring adaptation due to a disability. The information received will be processed by Carmeuse and then directed to a local recruiter who will provide assistance to ensure the proper consideration of the application or hiring process. +Show more ","
    + + + + + +
    +
    + Job Description

    As our new Data & Analytics team member, you will drive the development of global consolidation and corporate performance management processes using Azure, MS-SQL, Tagetik, MDM, and Power BI Fabric technologies.

    You also will collaborate closely with business stakeholders, bridging requirements to data modeling.

    You will engage with Data Warehouse team throughout specifications, development, validation, and post-development support phases; design and create new datasets and reports in Power BI Online and Excel.

    You will finally provide coaching and training to business users across various domains (Sales, Finance, HR, etc.) on Power BI Desktop and internal applications, and support end users in adopting new systems and consolidation workflows.

    Responsibilities & Duties

    As the new Data & Analytics employee, your responsibilities will turn across different points:

    Projects:

    • You act as primary Power BI stakeholder for system development and enhancements
    • And collaborate with BI Manager and Business Owner(s) on corporate reporting functionalities
    • You also conduct technical and integration tests for new applications and programs.

    System and Interfaces Support:

    • You have to manage Power BI Online and MDM for all users (installation, configuration)
    • Install and validate system updates
    • And also, document and update system procedures.

    Application Support:

    • You enhance and maintain existing reports and processes
    • And analyze and implement new functionalities or reports.

    Users Support:

    • You offer guidance, support, and coaching to users
    • Develop training documentation and conduct user training
    • And finally assist business owners in validating data and reports.

    Your Profile

    • Bachelor’s Degree preferred, or equivalent combination of education, training, and experience
    • 3+ years of MS-SQL and Power BI (or Equivalent Reporting) experience
    • Strong grasp of MS-SQL database management (Management Studio, Visual Studio)
    • Demonstrated experience in hands-on training for application/report users
    • Knowledge of Microsoft Azure and Data Warehouses environments
    • Familiarity with SAP (ECC, HCM, and BW)
    • Proficiency in understanding programming languages: SQL, DAX, and Python
    • Fluent in English
    • Limited International travel required
    • You are a person well organized, reliable, who likes to support the business and building the bridges.

    Preferred Experience:

    • Experience with TimeXtender or equivalent data integration applications
    • Knowledge of Azure Data Factory and Microsoft Fabric
    • Knowledge of Standard API Integration workflows
    • Experience supporting or implementing a Master Data Management system, including data governance, business glossary, and metadata management tools.

    The Data & Analytics Team:

    The Data & Analytics team has the mission to empower our organization through data driven insights and analytics. In order to do this the team is in the process of building a robust and scalable modern data platform. Besides the current role, the team is composed of BI analysts, data engineers, system architects and business analysts for data governance. Geographically the team is based in the US and Belgium, its responsibilities extend to all parts of the Carmeuse Group globally. Working within our team you will be responsible to further develop and manage our corporate performance management tool used for financial consolidation, budgeting and planning.

    You Future Manager

    Brian Culp, is the manager and has worked at Carmeuse since July 2020. He brings over a decade of experience in data management and reporting, along with 6+ years of expertise in Power BI. His deep understanding of commercial and industrial operations underscores the importance of consistent and accurate data consolidation. Brian’s leadership style is built on trust, integrity, and support. He is committed to creating a supportive and open atmosphere where individual contributions are valued, and professional growth is a priority. He actively encourages honest input from his team, fostering a collaborative environment that enhances efficiency and performance and ensures reliable and practical solutions for their internal customers.

    The Recruitment Process:

    As the recruitment process, what do you think of these steps:

    • Olivia Braszko, our Talent Acquisition Lead will analyze your Résumé and cover letter
    • A first ""Teams"" interview will be scheduled with Olivia. You will take 2 personality questionnaires. She will want to know more about you, as a person and as a professional. She will assess your motivations and answer to your questions
    • You will have a second interview with Brian Culp (our BI Manager) and Aurelie Mordant (our HRBP)
    • The last interview will take place with John Verkaik (our Group Data Analytics Director).

    Why Carmeuse?

    We truly believe that where you work matters and, as a family business, we know what makes our employees happy!

    • Permanent
    • Flexible working hours
    • Home working policy
    • Competitive salary package and benefits
    • A lot of growing possibilities
    • A strong HR and training policy to develop your skills
    • Work life balance.

    About Us

    READY TO JOIN A ROCK-SOLID FAMILY?

    Carmeuse started out as a small family-run business in Belgium.

    Today it’s a leading global producer of lime, high calcium limestone and dolomitic stone. Its products are essential to energy producers, environmental services, construction and manufacturing.

    With over 90 production facilities spread across almost every continent, and over 4,500 employees working at Carmeuse every day, the company’s most treasured resources are its people.

    Carmeuse is dedicated to maintaining a workplace that fosters equal opportunity and creates a diverse and inclusive work environment. All qualified applicants will be considered for employment regardless of race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation or gender identity. If you require particular assistance with any part of the application or hiring process due to a disability, you can submit your request by sending an email to hrsupport@carmeuse.com. This option is reserved for people requiring adaptation due to a disability. The information received will be processed by Carmeuse and then directed to a local recruiter who will provide assistance to ensure the proper consideration of the application or hiring process. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3997273878,https://be.linkedin.com/jobs/view/bi-analyst-reporting-sql-power-bi-at-ntt-data-europe-latam-3997273878?position=53&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=WLXbS7hRePIc6NHITj4t%2Fw%3D%3D&trk=public_jobs_jserp-result_search-card,BI analyst - Reporting/ SQL/ Power BI,NTT DATA Europe & Latam,"Brussels, Brussels Region, Belgium","NTT DATA is currently looking for BI analyst for a public company in Brussels. This role can be performed hybrid between the office and homeworking. + +Role + +This role involves curating and analysing data for the client departments of the Business Intelligence team. + + + +The main tasks will be : + +Conduct an in-depth analysis of inquiries posed by the business, discerning the core queries requiring attention. Delve into historical questions that could be interconnected with the fresh inquiry +Evaluate existing models to draft a preliminary version of requested models +Formulate queries essential for model construction and subsequently validate their efficacy in addressing the posed questions +Test new queries + +The candidate have + +A good knowledge in methodology and terminology of dimensional modelling (Kimball) +A good knowledge in PowerBI +Some knowledge in SQL (SQLServer and Oracle) +Some experience with the Microsoft BI suite (SSIS, SSAS, SSRS) + +Previous experience in the public sector and/or social security is an important asset. + +Language + +Dutch, French, English + +NTT DATA - a part of NTT Group - is a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, IT modernization and managed services. NTT DATA enables clients, as well as society, to move confidently into the digital future. We are committed to our clients' long-term success and combine global reach with local client attention to serve them in over 50 countries. NTT DATA has been awarded Top Employer 2024 regional certification in Asia Pacific, Europe, Latin America, and North America including 29 countries. Visit us at nttdata.com + +Show more ","
    + + + + + +
    +
    +

    NTT DATA is currently looking for BI analyst for a public company in Brussels. This role can be performed hybrid between the office and homeworking.

    Role

    This role involves curating and analysing data for the client departments of the Business Intelligence team.

    The main tasks will be :

    • Conduct an in-depth analysis of inquiries posed by the business, discerning the core queries requiring attention. Delve into historical questions that could be interconnected with the fresh inquiry
    • Evaluate existing models to draft a preliminary version of requested models
    • Formulate queries essential for model construction and subsequently validate their efficacy in addressing the posed questions
    • Test new queries

    The candidate have

    • A good knowledge in methodology and terminology of dimensional modelling (Kimball)
    • A good knowledge in PowerBI
    • Some knowledge in SQL (SQLServer and Oracle)
    • Some experience with the Microsoft BI suite (SSIS, SSAS, SSRS)

    Previous experience in the public sector and/or social security is an important asset.

    Language

    Dutch, French, English

    NTT DATA - a part of NTT Group - is a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, IT modernization and managed services. NTT DATA enables clients, as well as society, to move confidently into the digital future. We are committed to our clients' long-term success and combine global reach with local client attention to serve them in over 50 countries. NTT DATA has been awarded Top Employer 2024 regional certification in Asia Pacific, Europe, Latin America, and North America including 29 countries. Visit us at nttdata.com

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +4005557406,https://be.linkedin.com/jobs/view/data-analyst-at-robert-walters-4005557406?position=55&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=SZhVFXqd3XYvj3Q%2FpxA2yA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Robert Walters,"Temse, Flemish Region, Belgium","Voor een stabiele speler actief in de FMCG-sector gelegen in regio Temse zijn we op zoek naar een Data Analyst om het team wegens groei te versterken. Ben jij op zoek naar een gevarieerde functie waar er ruimte is voor eigen initiatief en groei? Lees dan zeker verder! + +Jouw takenpakket als Data Analyst: + +Je staat in voor periodieke rapporteringen +Je verzamelt en verwerkt diverse gegevens +Je werkt nauw samen met andere afdelingen voor de dataverwerking +Je staat in voor de voorbereiding van onderzoeken +Je staat in voor de ontwikkeling van datamodellen + +Het ideale profiel: + +Je hebt bij voorkeur een bachelor of masterdiploma of bent gelijkwaardig door ervaring +Je bent een schoolverlater of hebt een eerste ervaring achter de rug +Je bent analytisch heel sterk en kan goed prioriteiten leggen +Je spreekt vloeiend Nederlands en hebt minstens een goede basiskennis Frans +Excel kent geen geheimen voor jou, ervaring met PowerBI is een plus +Je bent flexibel en kan goed omgaan met een snel veranderende werkomgeving + +Het aanbod als Data Analyst: + +Een gevarieerde functie met mooie verantwoordelijkheden in een sterk en internationaal bedrijf +Veel aandacht voor het individu +Doorgroeimogelijkheden +Mogelijkheid tot thuiswerk +Een plekje in een jong en dynamisch team +Een mooi salarispakket naar ervaring aangevuld met maaltijdcheques, 12 adv-dagen, groeps-en hospitalisatieverzekering,.. +Een modern bedrijfsrestaurant waar je elke dag kan genieten van een verse en gezonde lunch + +Show more ","
    + + + + + +
    +
    +

    Voor een stabiele speler actief in de FMCG-sector gelegen in regio Temse zijn we op zoek naar een Data Analyst om het team wegens groei te versterken. Ben jij op zoek naar een gevarieerde functie waar er ruimte is voor eigen initiatief en groei? Lees dan zeker verder!

    Jouw takenpakket als Data Analyst:

    • Je staat in voor periodieke rapporteringen
    • Je verzamelt en verwerkt diverse gegevens
    • Je werkt nauw samen met andere afdelingen voor de dataverwerking
    • Je staat in voor de voorbereiding van onderzoeken
    • Je staat in voor de ontwikkeling van datamodellen

    Het ideale profiel:

    • Je hebt bij voorkeur een bachelor of masterdiploma of bent gelijkwaardig door ervaring
    • Je bent een schoolverlater of hebt een eerste ervaring achter de rug
    • Je bent analytisch heel sterk en kan goed prioriteiten leggen
    • Je spreekt vloeiend Nederlands en hebt minstens een goede basiskennis Frans
    • Excel kent geen geheimen voor jou, ervaring met PowerBI is een plus
    • Je bent flexibel en kan goed omgaan met een snel veranderende werkomgeving

    Het aanbod als Data Analyst:

    • Een gevarieerde functie met mooie verantwoordelijkheden in een sterk en internationaal bedrijf
    • Veel aandacht voor het individu
    • Doorgroeimogelijkheden
    • Mogelijkheid tot thuiswerk
    • Een plekje in een jong en dynamisch team
    • Een mooi salarispakket naar ervaring aangevuld met maaltijdcheques, 12 adv-dagen, groeps-en hospitalisatieverzekering,..
    • Een modern bedrijfsrestaurant waar je elke dag kan genieten van een verse en gezonde lunch

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4002112554,https://be.linkedin.com/jobs/view/data-analyst-at-atcon-global-4002112554?position=57&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=a9S%2BoIZzv6JijMTuYpyVvA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,ATCON GLOBAL,"Leuven, Flemish Region, Belgium","Our client is seeking a Medior Data Analyst with at least 2-5 years of experience in analysing data (such as customer-centric data, reference data, transactional data, accounting data,...) + +To enable sound decision making + + +You identify and collect data using specific tools or techniques +You analyse and extract key data and information +You describe functional mapping towards targets +You model and define transformation rules to meet the organization's needs and requirements +You assist and participate in data validation and cleaning to ensure the quality and integrity of data throughout the whole chain +You provide reports that enable the 'business' in their decision making + + +Technical skills + + +Knowledge and experience with Adobe Analytics +Knowledge and experience with Adobe Target +Knowledge and experience with Google Analytics +Next to a proven experience in data management, you have the following core competences: Agile Methodologies, Analytical thinking, Collaborating, Customer orientation, Data driven +Show more ","
    + + + + + +
    +
    + Our client is seeking a Medior Data Analyst with at least 2-5 years of experience in analysing data (such as customer-centric data, reference data, transactional data, accounting data,...)

    To enable sound decision making

    • You identify and collect data using specific tools or techniques
    • You analyse and extract key data and information
    • You describe functional mapping towards targets
    • You model and define transformation rules to meet the organization's needs and requirements
    • You assist and participate in data validation and cleaning to ensure the quality and integrity of data throughout the whole chain
    • You provide reports that enable the 'business' in their decision making

    Technical skills

    • Knowledge and experience with Adobe Analytics
    • Knowledge and experience with Adobe Target
    • Knowledge and experience with Google Analytics
    • Next to a proven experience in data management, you have the following core competences: Agile Methodologies, Analytical thinking, Collaborating, Customer orientation, Data driven
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +4005158377,https://be.linkedin.com/jobs/view/remote-data-entry-clerks-immediate-role-at-recyclednapkin-com-4005158377?position=58&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=mu0ueZqwMESlGYDP3r%2Fd6Q%3D%3D&trk=public_jobs_jserp-result_search-card,Remote Data Entry Clerks - Immediate Role,Recyclednapkin.com,Belgium,"About This Job + +Join us as an Online Data Analyst, where you will play a crucial role in managing data collection, analysis, and input for our online systems and social media platforms. This unique opportunity allows you to work full-time remotely and become an integral part of our team. + +Join us in making a difference through accurate data management and efficient workflow processes. We look forward to welcoming a dedicated Remote Data Entry Clerk to our team. + +Responsibilities + + +Enter data from source documents into prescribed computer databases, files, and forms accurately and efficiently. +Verify accuracy and completeness of data by reviewing, correcting, deleting, or re-entering data. +Maintain confidentiality regarding sensitive information. +Respond to inquiries regarding data and information. + + +Requirements + + +Proven experience as a data entry clerk or similar position. +Fast typing skills; knowledge of touch typing system is preferred. +Excellent knowledge of word processing tools and spreadsheets (MS Office Word, Excel, etc.). +Basic understanding of databases. +Great attention to detail. +High school diploma or equivalent. + + +Skills + + +Strong organizational and time-management skills. +Ability to work independently with minimal supervision. +Good communication skills. +Adaptability and willingness to learn new tasks. + + +Privileges + + +Competitive pay based on experience. +Flexible working hours. +Remote work opportunity. +Potential for growth and advancement within the company. +Show more ","
    + + + + + +
    +
    + About This Job

    Join us as an Online Data Analyst, where you will play a crucial role in managing data collection, analysis, and input for our online systems and social media platforms. This unique opportunity allows you to work full-time remotely and become an integral part of our team.

    Join us in making a difference through accurate data management and efficient workflow processes. We look forward to welcoming a dedicated Remote Data Entry Clerk to our team.

    Responsibilities

    • Enter data from source documents into prescribed computer databases, files, and forms accurately and efficiently.
    • Verify accuracy and completeness of data by reviewing, correcting, deleting, or re-entering data.
    • Maintain confidentiality regarding sensitive information.
    • Respond to inquiries regarding data and information.

    Requirements

    • Proven experience as a data entry clerk or similar position.
    • Fast typing skills; knowledge of touch typing system is preferred.
    • Excellent knowledge of word processing tools and spreadsheets (MS Office Word, Excel, etc.).
    • Basic understanding of databases.
    • Great attention to detail.
    • High school diploma or equivalent.

    Skills

    • Strong organizational and time-management skills.
    • Ability to work independently with minimal supervision.
    • Good communication skills.
    • Adaptability and willingness to learn new tasks.

    Privileges

    • Competitive pay based on experience.
    • Flexible working hours.
    • Remote work opportunity.
    • Potential for growth and advancement within the company.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3982872134,https://be.linkedin.com/jobs/view/internship-business-data-analyst-m-f-x-at-siemens-3982872134?position=60&pageNum=0&refId=j%2BjS14oDpzwCAqESB0FoBQ%3D%3D&trackingId=R9HaDto8%2BzJnyQui0dhdPQ%3D%3D&trk=public_jobs_jserp-result_search-card,Internship Business/Data Analyst (m/f/x),Siemens,"Beersel, Flemish Region, Belgium","Are you passionate about data and how to manage them? + +Are you looking for an internship in data analytics for 6 months? + +Are you curious and eager to learn the business side of data management and its impact on the organization?  + +At Siemens Belgium we are looking for a driven and creative intern to set up dashboards and small tools to optimize the efficiency of our business unit. + +Our division Smart Infrastructure intelligently connects energy systems, buildings, and industries, enhancing the way we live and work to significantly improve efficiency and sustainability.  Within our Digital Building and Infrastructure team, we focus on enhancing building performance of critical infrastructures through the power of data.  + +We offer an internship of min. 6 months in our Business Excellence business unit. Our purpose is to improve and innovate data management and processes through Digitalization. + +What’s in it for you? + + +Actively working in and understanding a professional environment. +Collaborating with multiple stakeholders in the company at different hierarchical levels. +Gaining experience in developing different dashboards to support the business and increase transparency and efficiency. +Working on your soft skills, learning to prioritize, and improving efficient communication. +This internship will also help you to develop your critical and constructive sense, your problem-solving ability, and your capacity to adapt and organize yourself. You will be able to put data into perspective to provide a relevant result for end users. +Developing your analytical skills and data management.   + + +At the end of this internship, you will have achieved: + + +Produce dashboards. +Co-produce an innovative and time-saving workflows via Power Automate. +Document management in SharePoint. +Co-produce an innovative and time-saving tool is a possibility. + + +Are you the intern we are looking for? + + +You are eager to learn Microsoft Office Business Data Analytics (Power Query, Power Pivot, Power BI). +You speak French or Dutch fluently, with a professional knowledge of English. +You are proficient with Excel (mandatory). +You have a first experience with dashboarding (Power BI, Tableau, Qlik Sense) is a strong asset, if not, the willingness to learn them must be present. +Willingness to learn Microsoft 365 power apps: Power Automate +Knowledge of programming languages Python, JavaScript, VBA...is an asset. +Motivation to solve problems, intellectual curiosity for understanding the business (mandatory). +Attention to detail and enjoy autonomy. + + +Please note that we are looking for someone who can start in October or November. You must also be in possession of a school internship agreement. + + +Show more ","
    + + + + + +
    +
    + Are you passionate about data and how to manage them?

    Are you looking for an internship in data analytics for 6 months?

    Are you curious and eager to learn the business side of data management and its impact on the organization? 

    At Siemens Belgium we are looking for a driven and creative intern to set up dashboards and small tools to optimize the efficiency of our business unit.

    Our division Smart Infrastructure intelligently connects energy systems, buildings, and industries, enhancing the way we live and work to significantly improve efficiency and sustainability.  Within our Digital Building and Infrastructure team, we focus on enhancing building performance of critical infrastructures through the power of data. 

    We offer an internship of min. 6 months in our Business Excellence business unit. Our purpose is to improve and innovate data management and processes through Digitalization.

    What’s in it for you?

    • Actively working in and understanding a professional environment.
    • Collaborating with multiple stakeholders in the company at different hierarchical levels.
    • Gaining experience in developing different dashboards to support the business and increase transparency and efficiency.
    • Working on your soft skills, learning to prioritize, and improving efficient communication.
    • This internship will also help you to develop your critical and constructive sense, your problem-solving ability, and your capacity to adapt and organize yourself. You will be able to put data into perspective to provide a relevant result for end users.
    • Developing your analytical skills and data management.  

    At the end of this internship, you will have achieved:

    • Produce dashboards.
    • Co-produce an innovative and time-saving workflows via Power Automate.
    • Document management in SharePoint.
    • Co-produce an innovative and time-saving tool is a possibility.

    Are you the intern we are looking for?

    • You are eager to learn Microsoft Office Business Data Analytics (Power Query, Power Pivot, Power BI).
    • You speak French or Dutch fluently, with a professional knowledge of English.
    • You are proficient with Excel (mandatory).
    • You have a first experience with dashboarding (Power BI, Tableau, Qlik Sense) is a strong asset, if not, the willingness to learn them must be present.
    • Willingness to learn Microsoft 365 power apps: Power Automate
    • Knowledge of programming languages Python, JavaScript, VBA...is an asset.
    • Motivation to solve problems, intellectual curiosity for understanding the business (mandatory).
    • Attention to detail and enjoy autonomy.

    Please note that we are looking for someone who can start in October or November. You must also be in possession of a school internship agreement.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +4004973107,https://be.linkedin.com/jobs/view/bi-data-analysis-expert-digi-at-digi-belgium-4004973107?position=1&pageNum=2&refId=s3dTgjCtqgY%2FKE603S%2BMsg%3D%3D&trackingId=tMPiKLAl9g3uavvIKNtwOw%3D%3D&trk=public_jobs_jserp-result_search-card,BI & Data Analysis Expert DIGI,DIGI Belgium,"Brussels, Brussels Region, Belgium","At the forefront of the telecom revolution, our mission is to innovate and lead with a customer-centric, data-driven approach. As we evolve from startup to scale-up, we're enhancing our team with a Data Analyst position to support all domains of our organization from our offices in Brussels (and in some occasions in Oostkamp). + +The BI & Data Analysis Expert will be crucial in supporting strategic decision-making & customer behavior through ad-hoc analysis and insights. This role is tailored for a professional skilled in translating complex business questions into data-driven solutions using a variety of internal and external data sources. + +Your Key Responsibilities as a BI & Data Analysis Expert will include: + + +Build a data pipeline to collect data from third party applications into SQL databases. +Utilize Python and SQL to conduct comprehensive data analyses, translating business needs into actionable insights. +Create meaningful visuals to illustrate insights. +Collaborate closely with cross-functional teams to understand and fulfill their data analysis needs. +Employ advanced analytical techniques to model and predict future trends (e.g. sales, finance & inventory forecasting). +Ensure data integrity and accuracy in all analyses. + + +Job requirements + +Must Haves Qualities & Talents + + +Ability to cope with uncertainty and to establish foundations in a context of scaling up, demonstrating flexibility and resilience. +Experience using Looker Data Platform (not Looker Studio) is a plus. +Expertise in Python and SQL, with a proven track record in data analysis and visualization. +Strong analytical skills, capable of capturing complex requirements and delivering meaningful insights. +Excellent consulting skills, including stakeholder management, effective communication, and the flexibility to adapt to a rapidly changing environment. +Bachelor's degree in Economics, Business engineering, Computer Science, Statistics, Data Science, or a related field; Master's degree is a plus. +At least 3 years of relevant experience, preferably in telecom, ecommerce, consulting or technology industries. +Proficient in English and in Dutch or French. +Demonstrated problem-solving abilities, critical thinking, and a commitment to providing actionable insights. +Ability to work collaboratively with multidisciplinary teams and articulate complex data concepts in a clear, understandable manner to non-technical stakeholders. +Experience leveraging digital, logistics, geo spatial, sales, marketing, customer care and/or infrastructure data. +Skills in building data driven automation processes (e.g. module processing inputs & outputting predictions/estimations) is a plus. +Data engineering skills is a plus but can be a differentiator. +Specific experience in building Marketing Campaign & customer behavior insights (linking campaign data, Google Analytics, sales & customer care data) is a huge plus. + + +What We Offer + +At Digi Belgium you will be part of an enthusiastic and ambitious team in which we greatly value your own input and believe in the growth of each of our employees. We offer you a great opportunity to work for a fast-growing and innovative employer that operates as a challenger in the Belgian telecom market. Next to this, we also offer a wide range of benefits, including: + + +Dynamic Work Environment: Dive into the bustling world of telecom at our startup! Expect a workplace that thrives on challenges and growth opportunities. +Competitive Compensation: Enjoy a rewarding package including competitive salary and different interesting benefits +Permanent Contract: Secure your future with us – enjoy the stability of a permanent contract. +Invest in Yourself: We provide ample resources for your personal and professional development. Use our generous budget to level up your skills and become even more awesome. +Contemporary Workspace: Immerse yourself in a cutting-edge office environment where innovation and collaboration reign supreme. Our central locations in Oostkamp and Brussels ensure easy accessibility. +Extra Time Off: Work hard and reap the rewards! Enjoy an extra 12 days off per year for full-time employees, making those 40-hour weeks fly by. + + +Application Process + +Candidates are invited to send their CV along with examples of projects they have worked on by the 6th of September 2024. Be part of our mission to revolutionize the telecom industry, leveraging innovation and data to drive success. The recruitment process will include hands-on business and analytics cases to assess your skills and fit for the role. +Show more ","
    + + + + + +
    +
    + At the forefront of the telecom revolution, our mission is to innovate and lead with a customer-centric, data-driven approach. As we evolve from startup to scale-up, we're enhancing our team with a Data Analyst position to support all domains of our organization from our offices in Brussels (and in some occasions in Oostkamp).

    The BI & Data Analysis Expert will be crucial in supporting strategic decision-making & customer behavior through ad-hoc analysis and insights. This role is tailored for a professional skilled in translating complex business questions into data-driven solutions using a variety of internal and external data sources.

    Your Key Responsibilities as a BI & Data Analysis Expert will include:

    • Build a data pipeline to collect data from third party applications into SQL databases.
    • Utilize Python and SQL to conduct comprehensive data analyses, translating business needs into actionable insights.
    • Create meaningful visuals to illustrate insights.
    • Collaborate closely with cross-functional teams to understand and fulfill their data analysis needs.
    • Employ advanced analytical techniques to model and predict future trends (e.g. sales, finance & inventory forecasting).
    • Ensure data integrity and accuracy in all analyses.

    Job requirements

    Must Haves Qualities & Talents

    • Ability to cope with uncertainty and to establish foundations in a context of scaling up, demonstrating flexibility and resilience.
    • Experience using Looker Data Platform (not Looker Studio) is a plus.
    • Expertise in Python and SQL, with a proven track record in data analysis and visualization.
    • Strong analytical skills, capable of capturing complex requirements and delivering meaningful insights.
    • Excellent consulting skills, including stakeholder management, effective communication, and the flexibility to adapt to a rapidly changing environment.
    • Bachelor's degree in Economics, Business engineering, Computer Science, Statistics, Data Science, or a related field; Master's degree is a plus.
    • At least 3 years of relevant experience, preferably in telecom, ecommerce, consulting or technology industries.
    • Proficient in English and in Dutch or French.
    • Demonstrated problem-solving abilities, critical thinking, and a commitment to providing actionable insights.
    • Ability to work collaboratively with multidisciplinary teams and articulate complex data concepts in a clear, understandable manner to non-technical stakeholders.
    • Experience leveraging digital, logistics, geo spatial, sales, marketing, customer care and/or infrastructure data.
    • Skills in building data driven automation processes (e.g. module processing inputs & outputting predictions/estimations) is a plus.
    • Data engineering skills is a plus but can be a differentiator.
    • Specific experience in building Marketing Campaign & customer behavior insights (linking campaign data, Google Analytics, sales & customer care data) is a huge plus.

    What We Offer

    At Digi Belgium you will be part of an enthusiastic and ambitious team in which we greatly value your own input and believe in the growth of each of our employees. We offer you a great opportunity to work for a fast-growing and innovative employer that operates as a challenger in the Belgian telecom market. Next to this, we also offer a wide range of benefits, including:

    • Dynamic Work Environment: Dive into the bustling world of telecom at our startup! Expect a workplace that thrives on challenges and growth opportunities.
    • Competitive Compensation: Enjoy a rewarding package including competitive salary and different interesting benefits
    • Permanent Contract: Secure your future with us – enjoy the stability of a permanent contract.
    • Invest in Yourself: We provide ample resources for your personal and professional development. Use our generous budget to level up your skills and become even more awesome.
    • Contemporary Workspace: Immerse yourself in a cutting-edge office environment where innovation and collaboration reign supreme. Our central locations in Oostkamp and Brussels ensure easy accessibility.
    • Extra Time Off: Work hard and reap the rewards! Enjoy an extra 12 days off per year for full-time employees, making those 40-hour weeks fly by.

    Application Process

    Candidates are invited to send their CV along with examples of projects they have worked on by the 6th of September 2024. Be part of our mission to revolutionize the telecom industry, leveraging innovation and data to drive success. The recruitment process will include hands-on business and analytics cases to assess your skills and fit for the role. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4003946104,https://be.linkedin.com/jobs/view/data-consultant-analyst-project-manager-financial-services-at-square-management-belgium-4003946104?position=3&pageNum=2&refId=s3dTgjCtqgY%2FKE603S%2BMsg%3D%3D&trackingId=JftzhUdRVwPFg434vQPxfg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Consultant (Analyst & Project Manager) - Financial Services,Square Management Belgium,"Brussels, Brussels Region, Belgium","Data Consultant (Analyst & Project Manager) - Financial Services (min 1 year of experience) + + + + +Square Management Belgium est à la recherche de consultants expérimentés (minimum 1 an) possédant une expérience significative et un intérêt dans le domaine de la data dans le secteur financier (banque et assurance). + + + + +🏢 Qui est Square Management Belgium ? + +Cabinet de référence dans le secteur financier, nous accompagnons nos clients dans leurs projets de transformation grâce à l’expertise de nos 100 consultants. + +Square Management Belgium fait partie du groupe Square Management, un cabinet de conseil européen en stratégie et organisation fondé en 2008, présent en France, en Belgique et au Luxembourg. + + + + +💡 Qu’attendons-nous de vous dans notre domaine d’expertise Data + +Identifier et hiérarchiser les actifs de données critiques +Élaborer et maintenir des procédures et des politiques de planification, de surveillance et de contrôle des données +Prendre des décisions basées sur les données grâce à des analyses, des visualisations, des quality checks et des data sets +Structurer et exploiter les données de nos clients pour améliorer et renforcer leur activité +Formuler des recommandations et des conclusions + +En interne, vous serez impliqué dans la production de contenus d’expertise (articles, publications, podcasts, …), ainsi que dans la participation aux réponses aux appels d’offres et aux initiatives autour de votre communauté. + + + + +🔝 Êtes-vous la personne idéale pour ce poste ? + +Vous êtes titulaire d'un Master d'une école de commerce, d'une école d'ingénieur ou d'une université +Vous disposez d'au minimum 1 an d'expérience dans un cabinet de conseil, un environnement projet ou dans les services financiers (banque/assurance) +Vous parlez français ou néerlandais (langue maternelle) et parlez couramment l'anglais +Vous possédez des connaissances et des compétences en data analyse et data management +Des expériences en tant que chef de projet, Business/ Functional Analyst et Process Analyst sont un atout majeur. +Vous êtes orientés client, vous comprenez les besoins et les attentes des parties prenantes +Rigoureux dans l'atteinte de vos objectifs, vous possédez de bonnes capacités d'analyse et de communication orale et écrite +Vous êtes proactif, impliqué et vous adaptez rapidement aux nouvelles situations + + + + +🎁 Qu’est-ce que Square Management Belgium peut vous offrir ? + +Un parcours professionnel en adéquation avec vos ambitions et votre expérience. Vos responsabilités varient selon votre grade (de consultant confirmé à Principal) +Un parcours de formations articulé autour de nos domaines d'excellence : plus de 150 formations certifiantes (méthodologie, métier, langues, développement personnel) +Une excellente opportunité d’évolution personnelle et professionnelle : des missions enrichissantes pour des clients majeurs dans de multiples secteurs (finance, assurance, banque, secteur public, énergie, etc.) ; partager vos connaissances avec vos collègues et impliquez-vous dans un rôle interne qui encourage l'intrapreneuriat et l'intelligence collective autour de la production de contenus (articles, publications, podcast) +Un environnement de travail où l'équilibre entre vie professionnelle et vie privée, l'ambiance bienveillante et la communication ouverte sont essentiels +Une offre attractive et compétitive : voiture et carte essence, ordinateur, téléphone portable, chèques repas, 13ème mois, programmes de formations, éco-chèques... + +Show more ","
    + + + + + +
    +
    +

    Data Consultant (Analyst & Project Manager) - Financial Services (min 1 year of experience)


    Square Management Belgium est à la recherche de consultants expérimentés (minimum 1 an) possédant une expérience significative et un intérêt dans le domaine de la data dans le secteur financier (banque et assurance).


    🏢 Qui est Square Management Belgium ?

    Cabinet de référence dans le secteur financier, nous accompagnons nos clients dans leurs projets de transformation grâce à l’expertise de nos 100 consultants.

    Square Management Belgium fait partie du groupe Square Management, un cabinet de conseil européen en stratégie et organisation fondé en 2008, présent en France, en Belgique et au Luxembourg.


    💡 Qu’attendons-nous de vous dans notre domaine d’expertise Data

    • Identifier et hiérarchiser les actifs de données critiques
    • Élaborer et maintenir des procédures et des politiques de planification, de surveillance et de contrôle des données
    • Prendre des décisions basées sur les données grâce à des analyses, des visualisations, des quality checks et des data sets
    • Structurer et exploiter les données de nos clients pour améliorer et renforcer leur activité
    • Formuler des recommandations et des conclusions

    En interne, vous serez impliqué dans la production de contenus d’expertise (articles, publications, podcasts, …), ainsi que dans la participation aux réponses aux appels d’offres et aux initiatives autour de votre communauté.


    🔝 Êtes-vous la personne idéale pour ce poste ?

    • Vous êtes titulaire d'un Master d'une école de commerce, d'une école d'ingénieur ou d'une université
    • Vous disposez d'au minimum 1 an d'expérience dans un cabinet de conseil, un environnement projet ou dans les services financiers (banque/assurance)
    • Vous parlez français ou néerlandais (langue maternelle) et parlez couramment l'anglais
    • Vous possédez des connaissances et des compétences en data analyse et data management
    • Des expériences en tant que chef de projet, Business/ Functional Analyst et Process Analyst sont un atout majeur.
    • Vous êtes orientés client, vous comprenez les besoins et les attentes des parties prenantes
    • Rigoureux dans l'atteinte de vos objectifs, vous possédez de bonnes capacités d'analyse et de communication orale et écrite
    • Vous êtes proactif, impliqué et vous adaptez rapidement aux nouvelles situations


    🎁 Qu’est-ce que Square Management Belgium peut vous offrir ?

    • Un parcours professionnel en adéquation avec vos ambitions et votre expérience. Vos responsabilités varient selon votre grade (de consultant confirmé à Principal)
    • Un parcours de formations articulé autour de nos domaines d'excellence : plus de 150 formations certifiantes (méthodologie, métier, langues, développement personnel)
    • Une excellente opportunité d’évolution personnelle et professionnelle : des missions enrichissantes pour des clients majeurs dans de multiples secteurs (finance, assurance, banque, secteur public, énergie, etc.) ; partager vos connaissances avec vos collègues et impliquez-vous dans un rôle interne qui encourage l'intrapreneuriat et l'intelligence collective autour de la production de contenus (articles, publications, podcast)
    • Un environnement de travail où l'équilibre entre vie professionnelle et vie privée, l'ambiance bienveillante et la communication ouverte sont essentiels
    • Une offre attractive et compétitive : voiture et carte essence, ordinateur, téléphone portable, chèques repas, 13ème mois, programmes de formations, éco-chèques...

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +3994539721,https://be.linkedin.com/jobs/view/business-system-analyst-at-fujitsu-3994539721?position=4&pageNum=2&refId=s3dTgjCtqgY%2FKE603S%2BMsg%3D%3D&trackingId=vUAjzWNnSTTnN3P%2BW%2FtYzQ%3D%3D&trk=public_jobs_jserp-result_search-card,Business System Analyst,Fujitsu,"Brussels Region, Belgium","Kickstart 2025 with a new career opportunity In Brussels! + + + + +Location: Brussels + + + + +Contract Type: Freelance/B2B or Employee - you decide! + + + + +Start Date: Q1 / Q2 2025 + + + + +Education: Secondary School + + + + +Profile: European Passport holder + + + + +Business/Systems Analyst (BSA) + +Analyses organisation requirements and specifies business, software and system requirements for new ICT solutions. + + + + +Nature of the tasks + +• Analyse existing systems and business models + +• Recommend resolutions and improvements + +• Provide integrated solutions + +• Provide consolidate findings on components or processes + +• Author technical performance requirements + +• Ensure security by design + +• Maps and documents interfaces between legacy and new systems + + + + +Knowledge and skills + +• Good knowledge of analysis/modelling tools and techniques (use case diagram, state diagram, entity relationship model, …). + +• UML, BPMN 2.0 (Business Modelling). + +• Strong capacity in preparing and writing (business) analysis. + +• Strong capacity to give high level and technical presentations + +Show more ","
    + + + + + +
    +
    +

    Kickstart 2025 with a new career opportunity In Brussels!


    Location: Brussels


    Contract Type: Freelance/B2B or Employee - you decide!


    Start Date: Q1 / Q2 2025


    Education: Secondary School


    Profile: European Passport holder


    Business/Systems Analyst (BSA)

    Analyses organisation requirements and specifies business, software and system requirements for new ICT solutions.


    Nature of the tasks

    • Analyse existing systems and business models

    • Recommend resolutions and improvements

    • Provide integrated solutions

    • Provide consolidate findings on components or processes

    • Author technical performance requirements

    • Ensure security by design

    • Maps and documents interfaces between legacy and new systems


    Knowledge and skills

    • Good knowledge of analysis/modelling tools and techniques (use case diagram, state diagram, entity relationship model, …).

    • UML, BPMN 2.0 (Business Modelling).

    • Strong capacity in preparing and writing (business) analysis.

    • Strong capacity to give high level and technical presentations

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3997919814,https://be.linkedin.com/jobs/view/data-analist-at-connect-consulting-3997919814?position=6&pageNum=2&refId=s3dTgjCtqgY%2FKE603S%2BMsg%3D%3D&trackingId=ParR9ucQODjNlhCsNBr%2Fsg%3D%3D&trk=public_jobs_jserp-result_search-card,Data analist,Connect Consulting,"Brussels, Brussels Region, Belgium","Data Advisor Service with an Agile Mindset + +Elia Group is moving towards Data-centricity, i.e. Data becomes a masterpiece in its strategy execution, and a Data-driven company. As Data Advisors, within the corporate Digital & Data department, we aim at facilitating and driving the entire organization to leverage data as an enabler to achieve its targets (strategic ambitions, innovation or transformation themes, objectives and regulatory compliance). Our mission consists in facilitating and driving the entire organization to leverage data as an enabler to achieve its targets: + + +Creating business value through Data +Think Data intuitively +Unlock transversal Data fit for purpose + + +One of the strategic pillars of the role of a Data Advisor is to close the gap between Business and Data . Together with subject matter experts, you define and design solid foundations for the Data in terms of Metadata, Responsibilities and Discoverability to leverage the Data Platform. The Data Platform. + +As part of a product team, the Data Advisor is moving rocks to improve Data Management practices and to ease them. The Data Advisor breathes respect, open-mind, dare, challenge, innovation, customer-oriented and team spirit. + +The Data Chapter is looking for a Data Advisor who will work on Data Initiatives at Elia and 50Hertz. It is an opportunity to mark your signature in the corporate Data Management. + +What you will be doing + + +You contribute to improving the Data Governance methodology by providing feedback from the field. +You work with a Business Purpose, while breathing Data, Organization & People, Processes, and Technology. +You understand and analyze the Business needs. +You are looking for solutions that can quickly bring benefits and keep an eye on more-long terms solutions to ensure sustainability on mid-terms. +You leverage advising and training (i.e. Data Owners, Data Stewards, Business and IT teams) by and on-the-job coaching. +You continuously review and ensure transversality of the Business Glossary that defines the common and universal language within Elia, by formalizing the Business definitions of data and their purpose . +You manage expectations from, and intensely collaborate and align with, multi-disciplinary stakeholders, departments and product teams. +You excel at bringing people with various backgrounds together to converge. +You are the ambassador of One Team for the Customer . +You always generate business value. + + +What You Will NOT Be Doing + + +You shall not act from an Ivory Tower. +You shall not define Data Governance methodology but will influence its evolution by providing retrospective feedback from the field. +You don’t make decisions for the Business but rather advise them with careful logic or showing your reasoning. +You don’t manage the data community, nor engineering, nor development teams. +You don’t define the details of the solutions architecture, nor the technical architecture, nor will you implement technical solutions. +You don’t develop systems. + + +Requirements: + +Technical Skills (required) + +As a candidate for this mission, you can demonstrate proven experience with similar projects, missions or employments, with skills that encompass: + + +Master knowledge about and have anexperience of min. 4 years with these Data Management activities: +Data Governance – Mandatory +Data Quality Management – Mandatory +Metadata Management – Mandatory +Master Data Management – Mandatory +Data Classification, Data Privacy, Data Security, CIA Measures– Optional +Business Intelligence & Analytics – Optional +Big data – Optional +Data Modeling – Optional +Data Integration & API – Optional +Rapidly understand the Business of Elia as a Transmission System Operator and its underlying concepts. Previous experience related to the Business of “Utilities” or “Energy” and its underlying concepts is an asset . + + +Soft Skills + + +Able to challenge your interlocutors by leveraging your rational thinking, and no non-sense philosophy. +Continuously look at data in a transversal way (no siloes), across the entire Enterprise, to prevent non-sense solution. +Track record of driving results through continuous improvement +Customer-oriented +Analytical approach to problem-solving and a track record of driving results through continuous improvement +You are curious, willing to learn and able to introduce creative and innovative solutions +Your communication skills allow you to facilitate workshops where you can act as a leader when necessary as well as coaching people on the job +Adapt your speech according to the maturity level of the other participants, accordingly you are a really good communicator and communicate effectively with team members from different backgrounds (business users, IT project leaders …) +Able to listen, decide, convince and create adoption. +Able to switch easily from a hands-on attitude to a supportive attitude and willing to coach and support Team Members and Data Stewards. +Team player breathing respect, open-mind, dare, challenge, innovation and one team for the Customer +Product-oriented mindset +Language skills: fluent in English AND fluent in at least one of the following languages: Dutch, French or German + + +Referentie: + +CV Uploaden* + + +verplicht + + +Δ +Show more ","
    + + + + + +
    +
    + Data Advisor Service with an Agile Mindset

    Elia Group is moving towards Data-centricity, i.e. Data becomes a masterpiece in its strategy execution, and a Data-driven company. As Data Advisors, within the corporate Digital & Data department, we aim at facilitating and driving the entire organization to leverage data as an enabler to achieve its targets (strategic ambitions, innovation or transformation themes, objectives and regulatory compliance). Our mission consists in facilitating and driving the entire organization to leverage data as an enabler to achieve its targets:

    • Creating business value through Data
    • Think Data intuitively
    • Unlock transversal Data fit for purpose

    One of the strategic pillars of the role of a Data Advisor is to close the gap between Business and Data . Together with subject matter experts, you define and design solid foundations for the Data in terms of Metadata, Responsibilities and Discoverability to leverage the Data Platform. The Data Platform.

    As part of a product team, the Data Advisor is moving rocks to improve Data Management practices and to ease them. The Data Advisor breathes respect, open-mind, dare, challenge, innovation, customer-oriented and team spirit.

    The Data Chapter is looking for a Data Advisor who will work on Data Initiatives at Elia and 50Hertz. It is an opportunity to mark your signature in the corporate Data Management.

    What you will be doing

    • You contribute to improving the Data Governance methodology by providing feedback from the field.
    • You work with a Business Purpose, while breathing Data, Organization & People, Processes, and Technology.
    • You understand and analyze the Business needs.
    • You are looking for solutions that can quickly bring benefits and keep an eye on more-long terms solutions to ensure sustainability on mid-terms.
    • You leverage advising and training (i.e. Data Owners, Data Stewards, Business and IT teams) by and on-the-job coaching.
    • You continuously review and ensure transversality of the Business Glossary that defines the common and universal language within Elia, by formalizing the Business definitions of data and their purpose .
    • You manage expectations from, and intensely collaborate and align with, multi-disciplinary stakeholders, departments and product teams.
    • You excel at bringing people with various backgrounds together to converge.
    • You are the ambassador of One Team for the Customer .
    • You always generate business value.

    What You Will NOT Be Doing

    • You shall not act from an Ivory Tower.
    • You shall not define Data Governance methodology but will influence its evolution by providing retrospective feedback from the field.
    • You don’t make decisions for the Business but rather advise them with careful logic or showing your reasoning.
    • You don’t manage the data community, nor engineering, nor development teams.
    • You don’t define the details of the solutions architecture, nor the technical architecture, nor will you implement technical solutions.
    • You don’t develop systems.

    Requirements:

    Technical Skills (required)

    As a candidate for this mission, you can demonstrate proven experience with similar projects, missions or employments, with skills that encompass:

    • Master knowledge about and have anexperience of min. 4 years with these Data Management activities:
    • Data Governance – Mandatory
    • Data Quality Management – Mandatory
    • Metadata Management – Mandatory
    • Master Data Management – Mandatory
    • Data Classification, Data Privacy, Data Security, CIA Measures– Optional
    • Business Intelligence & Analytics – Optional
    • Big data – Optional
    • Data Modeling – Optional
    • Data Integration & API – Optional
    • Rapidly understand the Business of Elia as a Transmission System Operator and its underlying concepts. Previous experience related to the Business of “Utilities” or “Energy” and its underlying concepts is an asset .

    Soft Skills

    • Able to challenge your interlocutors by leveraging your rational thinking, and no non-sense philosophy.
    • Continuously look at data in a transversal way (no siloes), across the entire Enterprise, to prevent non-sense solution.
    • Track record of driving results through continuous improvement
    • Customer-oriented
    • Analytical approach to problem-solving and a track record of driving results through continuous improvement
    • You are curious, willing to learn and able to introduce creative and innovative solutions
    • Your communication skills allow you to facilitate workshops where you can act as a leader when necessary as well as coaching people on the job
    • Adapt your speech according to the maturity level of the other participants, accordingly you are a really good communicator and communicate effectively with team members from different backgrounds (business users, IT project leaders …)
    • Able to listen, decide, convince and create adoption.
    • Able to switch easily from a hands-on attitude to a supportive attitude and willing to coach and support Team Members and Data Stewards.
    • Team player breathing respect, open-mind, dare, challenge, innovation and one team for the Customer
    • Product-oriented mindset
    • Language skills: fluent in English AND fluent in at least one of the following languages: Dutch, French or German

    Referentie:

    CV Uploaden*

    • verplicht

    Δ +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3987885271,https://be.linkedin.com/jobs/view/data-analist-at-dark-light-data-bi-consultancy-3987885271?position=7&pageNum=2&refId=s3dTgjCtqgY%2FKE603S%2BMsg%3D%3D&trackingId=TIuQsyF%2FUA1%2FZetJi14F6g%3D%3D&trk=public_jobs_jserp-result_search-card,DATA ANALIST,Dark Light - data & BI consultancy,"Brussels, Brussels Region, Belgium","Dark Light, een gespecialiseerd staffing agency, is op zoek naar een getalenteerde Data Analist. Met een focus op data engineering, data analytics, data science, master data en data governance, zijn we toegewijd aan het vertalen van data naar bruikbare business inzichten. Onze missie is om bedrijven te helpen groeien door ze in contact te brengen met het beste talent voor hun specifieke behoeften. + +Taken + + +Je bent verantwoordelijk voor het functioneel ontwerpen, structureren en organiseren van de ETL-processen in een datawarehouse. +Je zorgt voor de planning, implementatie en correcte uitvoering van de ETL-flows. +Je ontwerpt, implementeert en onderhoudt on-premise databases om efficiënte opslag, extractie en beheer van ziekenhuisdata te waarborgen. +Je helpt mee om de datakwaliteit te waarborgen en zo de nauwkeurigheid en betrouwbaarheid van de informatie in onze databases te garanderen. +Je werkt nauw samen met het team om onder andere grote datasets te analyseren en modelleren, en zo trends, patronen en inzichten te identificeren die het beleid en de besluitvorming binnen het ziekenhuis ondersteunen. +Je visualiseert complexe scenario's op een duidelijke manier en rapporteert deze aan diverse stakeholders binnen alle lagen van het ziekenhuis. +Je denkt mee over de juiste tools en strategieën die leiden tot efficiënte data-opvraging, rapportage en visualisatie in geavanceerde dashboards. +Je optimaliseert queries om de databaseprestaties te verbeteren en tijdige informatieverzameling te garanderen voor rapportage en analyses. + + + +Vereisten + + +Je beschikt over relevante werkervaring in databasebeheer, data management en/of data-analyse. +Ervaring in de zorgsector is een pluspunt. +Je kunt data modelleren met tools zoals SQL, Python en R. +Je hebt ervaring met data visualisatietools zoals Tableau, PowerBI, ... +Je bent in staat om mensen te enthousiasmeren, informeren en ondersteunen; je kunt je goed inleven in de behoeften van andere afdelingen en je hebt een sterke drang om samen te werken, wat zeer gewaardeerd wordt. + + + +Benefits + + +Marktconforme salarispakket +Zeer sterke focus op work-life balance +Talloze trainingsmogelijkheden + +Show more ","
    + + + + + +
    +
    + Dark Light, een gespecialiseerd staffing agency, is op zoek naar een getalenteerde Data Analist. Met een focus op data engineering, data analytics, data science, master data en data governance, zijn we toegewijd aan het vertalen van data naar bruikbare business inzichten. Onze missie is om bedrijven te helpen groeien door ze in contact te brengen met het beste talent voor hun specifieke behoeften.

    Taken

    • Je bent verantwoordelijk voor het functioneel ontwerpen, structureren en organiseren van de ETL-processen in een datawarehouse.
    • Je zorgt voor de planning, implementatie en correcte uitvoering van de ETL-flows.
    • Je ontwerpt, implementeert en onderhoudt on-premise databases om efficiënte opslag, extractie en beheer van ziekenhuisdata te waarborgen.
    • Je helpt mee om de datakwaliteit te waarborgen en zo de nauwkeurigheid en betrouwbaarheid van de informatie in onze databases te garanderen.
    • Je werkt nauw samen met het team om onder andere grote datasets te analyseren en modelleren, en zo trends, patronen en inzichten te identificeren die het beleid en de besluitvorming binnen het ziekenhuis ondersteunen.
    • Je visualiseert complexe scenario's op een duidelijke manier en rapporteert deze aan diverse stakeholders binnen alle lagen van het ziekenhuis.
    • Je denkt mee over de juiste tools en strategieën die leiden tot efficiënte data-opvraging, rapportage en visualisatie in geavanceerde dashboards.
    • Je optimaliseert queries om de databaseprestaties te verbeteren en tijdige informatieverzameling te garanderen voor rapportage en analyses.


    Vereisten

    • Je beschikt over relevante werkervaring in databasebeheer, data management en/of data-analyse.
    • Ervaring in de zorgsector is een pluspunt.
    • Je kunt data modelleren met tools zoals SQL, Python en R.
    • Je hebt ervaring met data visualisatietools zoals Tableau, PowerBI, ...
    • Je bent in staat om mensen te enthousiasmeren, informeren en ondersteunen; je kunt je goed inleven in de behoeften van andere afdelingen en je hebt een sterke drang om samen te werken, wat zeer gewaardeerd wordt.


    Benefits

    • Marktconforme salarispakket
    • Zeer sterke focus op work-life balance
    • Talloze trainingsmogelijkheden
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-30,[] +3995918991,https://be.linkedin.com/jobs/view/data-engineer-at-tmc-3995918991?position=9&pageNum=2&refId=s3dTgjCtqgY%2FKE603S%2BMsg%3D%3D&trackingId=%2BoMoBQZgr7VOjzTCndXPAA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineer,TMC,"Brussels Region, Belgium","| Company Overview + + + + +TMC is an international high-tech consulting firm that provides expertise to its clients to help them tackle their challenges. For 24 years, with a global presence in 14 countries, we have built a reputation for excellence and reliability through Employeneurship in various fields: Technology & Engineering, Energy & Renewables, Life Sciences & Pharma, and Digital & IT + + + + +| Requirements: + + + + +Create robust data pipelines using Hadoop, Spark, and NiFi to collect, process, and transform large datasets from various sources. +Implement and manage real-time data streaming solutions using Apache Kafka, ensuring data is processed and available for immediate use. +Write efficient and scalable code in Python, Scala, and Java to support data processing and automation tasks. +Develop and optimize data models, storage solutions, and ETL processes to ensure high performance and scalability. +Work in an Agile environment, collaborating closely with data scientists, analysts, and other engineers to deliver high-quality solutions. + + + + +| Why choose the Employeneurship? + + + + +Our Employeneurship model is unique, it is a real innovation in the high-tech consulting sector. It is the 21st century working relationship for highly qualified technical professionals. It is built around 5 main pillars: + +You will have a permanent employment contract offering stability and security, +You will learn about your market value and have a share of the benefits generated by your work through individual profit sharing, +We will support you with personalized coaching and a training plan designed to help you develop your entrepreneurial skills, +Our structure of technical competence cells will provide you with a strong, meaningful and relevant network of experts, +The Entrepreneurial Lab will provide you with a playground to explore new ideas and possibly help launch start-ups. + +Show more ","
    + + + + + +
    +
    +

    | Company Overview


    TMC is an international high-tech consulting firm that provides expertise to its clients to help them tackle their challenges. For 24 years, with a global presence in 14 countries, we have built a reputation for excellence and reliability through Employeneurship in various fields: Technology & Engineering, Energy & Renewables, Life Sciences & Pharma, and Digital & IT


    | Requirements:


    • Create robust data pipelines using Hadoop, Spark, and NiFi to collect, process, and transform large datasets from various sources.
    • Implement and manage real-time data streaming solutions using Apache Kafka, ensuring data is processed and available for immediate use.
    • Write efficient and scalable code in Python, Scala, and Java to support data processing and automation tasks.
    • Develop and optimize data models, storage solutions, and ETL processes to ensure high performance and scalability.
    • Work in an Agile environment, collaborating closely with data scientists, analysts, and other engineers to deliver high-quality solutions.


    | Why choose the Employeneurship?


    Our Employeneurship model is unique, it is a real innovation in the high-tech consulting sector. It is the 21st century working relationship for highly qualified technical professionals. It is built around 5 main pillars:

    • You will have a permanent employment contract offering stability and security,
    • You will learn about your market value and have a share of the benefits generated by your work through individual profit sharing,
    • We will support you with personalized coaching and a training plan designed to help you develop your entrepreneurial skills,
    • Our structure of technical competence cells will provide you with a strong, meaningful and relevant network of experts,
    • The Entrepreneurial Lab will provide you with a playground to explore new ideas and possibly help launch start-ups.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +3982423521,https://be.linkedin.com/jobs/view/data-engineer-at-i-care-belgium-3982423521?position=10&pageNum=2&refId=s3dTgjCtqgY%2FKE603S%2BMsg%3D%3D&trackingId=ZzGevsfA0mi9r%2BhecoWqEA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineer,I-care Belgium,"Brussels, Brussels Region, Belgium","Are you passionate about harnessing the power of data to drive innovation? Do you thrive in a dynamic environment where you can utilize your IT expertise alongside your data engineering skills? + +We are seeking a talented and experienced Data Engineer to join our I-care Augmented Intelligence research and development team in Brussels, Belgium. As a key member of our R&D Augmented Intelligence team, you will be responsible for designing, developing, and maintaining robust data pipelines while leveraging cutting-edge technologies for the Industry, namely in the predictive maintenance and reliability sector. + +Responsibilities and Activities + +Develop and maintain Gitlab CI/CD pipelines to ensure seamless deployment and integration of data pipelines. +Utilize Docker Swarm for containerization, ensuring scalability and efficiency in our data infrastructure. +Implement and manage Airflow workflows for scheduling and monitoring data pipelines. +Utilize MongoDB and SQL for efficient data storage, retrieval, and manipulation. +Harness the power of Google BigQuery for high-performance analytics and data warehousing. +Develop APIs using FastAPI for seamless integration and interaction with various applications. +Collaborate closely with cross-functional teams to understand data requirements and deliver tailored solutions. +Demonstrate strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. + + +Requirements + +Relevant IT background education, with at least 3 years of experience in Data Engineering. +Proficiency in Gitlab CI/CD pipelines, Docker Swarm, Airflow, MongoDB, SQL, Google BigQuery, and FastAPI. +Experience in MLOps platforms and Kubernetes, Kubeflow, or Celeri is a plus. +Strong problem-solving abilities and a proactive mindset towards overcoming technical challenges. +Excellent communication skills with the ability to work collaboratively in a team environment. +Adaptability to learn and implement new technologies as per project requirements. + +What I-care offers you? + +An open and honest environment, where employees are actually valued for their interests, passion, and commitment. +A chance to join the global leader in Predictive and Prescriptive Maintenance. +A dynamic and ever-growing organization where the sky actually is the limit. +An attractive and complete remuneration package according to your competencies and experience, with challenging bonus perspectives. +Your best day at work ever! + +Become part of our success story! + +I-care, a global leader in predictive and prescriptive maintenance since 2004. With over 800 dedicated technicians and engineers worldwide, we provide quality services and solutions that result in double-digit annual growth. At I-care, we value diversity and believe that everyone can make unique and valuable contributions. Join I-care and make a difference! + +Show more ","
    + + + + + +
    +
    +

    Are you passionate about harnessing the power of data to drive innovation? Do you thrive in a dynamic environment where you can utilize your IT expertise alongside your data engineering skills?

    We are seeking a talented and experienced Data Engineer to join our I-care Augmented Intelligence research and development team in Brussels, Belgium. As a key member of our R&D Augmented Intelligence team, you will be responsible for designing, developing, and maintaining robust data pipelines while leveraging cutting-edge technologies for the Industry, namely in the predictive maintenance and reliability sector.

    Responsibilities and Activities

    • Develop and maintain Gitlab CI/CD pipelines to ensure seamless deployment and integration of data pipelines.
    • Utilize Docker Swarm for containerization, ensuring scalability and efficiency in our data infrastructure.
    • Implement and manage Airflow workflows for scheduling and monitoring data pipelines.
    • Utilize MongoDB and SQL for efficient data storage, retrieval, and manipulation.
    • Harness the power of Google BigQuery for high-performance analytics and data warehousing.
    • Develop APIs using FastAPI for seamless integration and interaction with various applications.
    • Collaborate closely with cross-functional teams to understand data requirements and deliver tailored solutions.
    • Demonstrate strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.


    Requirements

    • Relevant IT background education, with at least 3 years of experience in Data Engineering.
    • Proficiency in Gitlab CI/CD pipelines, Docker Swarm, Airflow, MongoDB, SQL, Google BigQuery, and FastAPI.
    • Experience in MLOps platforms and Kubernetes, Kubeflow, or Celeri is a plus.
    • Strong problem-solving abilities and a proactive mindset towards overcoming technical challenges.
    • Excellent communication skills with the ability to work collaboratively in a team environment.
    • Adaptability to learn and implement new technologies as per project requirements.

    What I-care offers you?

    • An open and honest environment, where employees are actually valued for their interests, passion, and commitment.
    • A chance to join the global leader in Predictive and Prescriptive Maintenance.
    • A dynamic and ever-growing organization where the sky actually is the limit.
    • An attractive and complete remuneration package according to your competencies and experience, with challenging bonus perspectives.
    • Your best day at work ever!

    Become part of our success story!

    I-care, a global leader in predictive and prescriptive maintenance since 2004. With over 800 dedicated technicians and engineers worldwide, we provide quality services and solutions that result in double-digit annual growth. At I-care, we value diversity and believe that everyone can make unique and valuable contributions. Join I-care and make a difference!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-24,[] +3982786371,https://be.linkedin.com/jobs/view/business-intelligence-and-data-analytics-engineer-at-netcompany-intrasoft-3982786371?position=2&pageNum=5&refId=yEmUn2yYEIBp2DdiXGNr9w%3D%3D&trackingId=OPgOXr%2BhMe7%2BrCNhVYDVTA%3D%3D&trk=public_jobs_jserp-result_search-card,Business Intelligence and Data Analytics Engineer,Netcompany-Intrasoft,"Brussels, Brussels Region, Belgium","Company Description + +We are Netcompany-Intrasoft, a member of Netcompany Group A/S, and a leading European IT Solutions and Services company with strong international presence and expertise, dedicated to responsible digitalisation. We offer innovative and added-value solutions of the highest quality to a wide range of public and private organizations, while being a key-player in the EU Institutions for the past 30 years. We hold an outstanding record of 500+ organizations in 70+ countries, that have chosen our solutions and services, to fulfil their business needs. Our team of 3500+ professionals is our driving force and our most valuable asset. + +Job Description + +Are you ready to join the forefront of technology as a Business Intelligence and Data Analytics Engineer in Netcompany-Intrasoft? + +As a Business Intelligence and Data Analytics Engineer, you will do: + + +Gathering and analysis of the business requirements; +Technical analysis and specifications of BI and DA solutions; +Exploratory data analysis to identify, analyze, and interpret patterns and trends in complex data sets for diagnosis and prediction; +Definition and drafting of training and support procedures; +Architecture, design, deployment, and management of Data Platforms; +Design, modelling, development, management and review of end-to-end BI and DA products based on on-prem and cloud data platforms; +Including: ETL, Data Lakes, Data Warehouse, visualizations for non-specialist (eg: reports, charts, and dashboards), export mechanism (eg: APIs); +Set-up CI/CD pipelines including automatic testing and quality assurance; +Maintenance of BI and DA products, including troubleshooting, bug fixing, performance analysis, technical migrations; +Integration and reusability of COTS, SaaS, PaaS and SaaS; +Conception and implementation of data protection measures, data security measures and disclosure control; +Definition of test strategies, design, and testing; +Definition of best practices and standards; +Technology watch, technology evaluation and contribution to platform definition and strategy documents; + + + +Qualifications + +What would make you a fit for the role: + + +In depth knowledge of modern data platforms architecture, including integration of different products/technologies to deliver data-driven solutions; +In dept knowledge of data modelling for data lakes and data warehouses (eg: Medallion Architecture, Star Schema and Kimball); +In depth knowledge of SQL (eg: Oracle, SQL Server,…); +In depth knowledge of orchestration (eg: Airflow) and ETL tools (eg: DBT, SSIS,); +In depth knowledge of visualization tools (eg: PowerBI); +In depth knowledge of CI/CD tools, testing and quality assurance; +Excellent analytical thinking, by using logic and reasoning to identify patterns and gaps while analyzing and exploring data; +In depth knowledge of programming languages for data analytics (eg: python, R, …); +Experience in setting up a Centre of Competence to provide advice, support and training for Business Intelligence and Data Analytics related activities for technical and non-technical users; +Technical guidance including solution finding for highly complicated issues; +Validation of technological orientations; +Validation of business cases and/or maturity assessment studies; +Ability to cope with fast changing technologies; + + + +It would also be a plus if you match some of the following: + + +Experience in real time reporting would be an asset; +Experience in linked open data and semantic technologies, ontologies, metadata standards, reference databases, multilingual thesauri and taxonomies would be an asset; +Experience in big data, geospatial data, unstructured information, automated document classification and reference databases would be an asset; +Experience in cloud environments and containerization would be an asset. + + + +Additional Information + +Being a part of the Netcompany-Ιntrasoft team, you will be provided with: + + +The opportunity to work in a modern environment. +A competitive compensation & benefits package +Hospitalization plan +Hybrid working model +Meal and commuting allowance +Well-being activities (on premises) +Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings) +A personalized development plan for targeted career growth + + + +If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be! + +By joining Netcompany - Intrasoft Belgium, you will be an integral part of a distinguished team of 600+ tech enthusiasts working for international projects, primarily within the European Institutions market. Whether you're collaborating with clients on their premises or harnessing the power of cutting-edge technologies at our own facilities, you'll have the opportunity to shape the future of digital services in an environment that values your ideas and fosters your growth. + +Our culture + +Our people are the most important element of our success. Our work life is well defined by our set of fundamental Values: https://bit.ly/3SSbBzU + +#BePartOfSomethingGreat! + + +Please submit your CV in English + + + +All applications will be treated as strictly confidential. + + +Show more ","
    + + + + + +
    +
    + Company Description

    We are Netcompany-Intrasoft, a member of Netcompany Group A/S, and a leading European IT Solutions and Services company with strong international presence and expertise, dedicated to responsible digitalisation. We offer innovative and added-value solutions of the highest quality to a wide range of public and private organizations, while being a key-player in the EU Institutions for the past 30 years. We hold an outstanding record of 500+ organizations in 70+ countries, that have chosen our solutions and services, to fulfil their business needs. Our team of 3500+ professionals is our driving force and our most valuable asset.

    Job Description

    Are you ready to join the forefront of technology as a Business Intelligence and Data Analytics Engineer in Netcompany-Intrasoft?

    As a Business Intelligence and Data Analytics Engineer, you will do:

    • Gathering and analysis of the business requirements;
    • Technical analysis and specifications of BI and DA solutions;
    • Exploratory data analysis to identify, analyze, and interpret patterns and trends in complex data sets for diagnosis and prediction;
    • Definition and drafting of training and support procedures;
    • Architecture, design, deployment, and management of Data Platforms;
    • Design, modelling, development, management and review of end-to-end BI and DA products based on on-prem and cloud data platforms;
    • Including: ETL, Data Lakes, Data Warehouse, visualizations for non-specialist (eg: reports, charts, and dashboards), export mechanism (eg: APIs);
    • Set-up CI/CD pipelines including automatic testing and quality assurance;
    • Maintenance of BI and DA products, including troubleshooting, bug fixing, performance analysis, technical migrations;
    • Integration and reusability of COTS, SaaS, PaaS and SaaS;
    • Conception and implementation of data protection measures, data security measures and disclosure control;
    • Definition of test strategies, design, and testing;
    • Definition of best practices and standards;
    • Technology watch, technology evaluation and contribution to platform definition and strategy documents;


    Qualifications

    What would make you a fit for the role:

    • In depth knowledge of modern data platforms architecture, including integration of different products/technologies to deliver data-driven solutions;
    • In dept knowledge of data modelling for data lakes and data warehouses (eg: Medallion Architecture, Star Schema and Kimball);
    • In depth knowledge of SQL (eg: Oracle, SQL Server,…);
    • In depth knowledge of orchestration (eg: Airflow) and ETL tools (eg: DBT, SSIS,);
    • In depth knowledge of visualization tools (eg: PowerBI);
    • In depth knowledge of CI/CD tools, testing and quality assurance;
    • Excellent analytical thinking, by using logic and reasoning to identify patterns and gaps while analyzing and exploring data;
    • In depth knowledge of programming languages for data analytics (eg: python, R, …);
    • Experience in setting up a Centre of Competence to provide advice, support and training for Business Intelligence and Data Analytics related activities for technical and non-technical users;
    • Technical guidance including solution finding for highly complicated issues;
    • Validation of technological orientations;
    • Validation of business cases and/or maturity assessment studies;
    • Ability to cope with fast changing technologies;


    It would also be a plus if you match some of the following:

    • Experience in real time reporting would be an asset;
    • Experience in linked open data and semantic technologies, ontologies, metadata standards, reference databases, multilingual thesauri and taxonomies would be an asset;
    • Experience in big data, geospatial data, unstructured information, automated document classification and reference databases would be an asset;
    • Experience in cloud environments and containerization would be an asset.


    Additional Information

    Being a part of the Netcompany-Ιntrasoft team, you will be provided with:

    • The opportunity to work in a modern environment.
    • A competitive compensation & benefits package
    • Hospitalization plan
    • Hybrid working model
    • Meal and commuting allowance
    • Well-being activities (on premises)
    • Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings)
    • A personalized development plan for targeted career growth


    If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!

    By joining Netcompany - Intrasoft Belgium, you will be an integral part of a distinguished team of 600+ tech enthusiasts working for international projects, primarily within the European Institutions market. Whether you're collaborating with clients on their premises or harnessing the power of cutting-edge technologies at our own facilities, you'll have the opportunity to shape the future of digital services in an environment that values your ideas and fosters your growth.

    Our culture

    Our people are the most important element of our success. Our work life is well defined by our set of fundamental Values: https://bit.ly/3SSbBzU

    #BePartOfSomethingGreat!

    • Please submit your CV in English


    All applications will be treated as strictly confidential.

     +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-17,[] +4004172982,https://be.linkedin.com/jobs/view/data-engineer-at-cream-consulting-4004172982?position=5&pageNum=5&refId=yEmUn2yYEIBp2DdiXGNr9w%3D%3D&trackingId=Oen%2FpHprHKd0R3Pgtact5w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineer,Cream Consulting,"Brussels Region, Belgium","Permanent position only + + + + +What is Cream all about? + +We could be a Cream Factory, a cooking blog or even a detective agency…but in reality, we are a consulting company specialized in IT development and Business improvement. We are active in large organizations and industry leaders in Banking, Insurance, Telecom, Energy, Pharmaceutical & Transport. + + + + +Cream’s special recipe: + +- 1/3 of Personal development + +- 1/3 of Collective Intelligence + +- 1/3 of Intrapreneurship + + + + +And Bonus ingredient: … Some passionate colleagues 😀 + + + + +What is a Data Engineer at Cream? + +As a Data Engineer at Cream, you can be in charge of the implementation of BI Business Projects or potentially coaching junior data engineers. As well, be responsible for the development of data ingestion and analytics solutions (data warehouses, data marts, etc.) + + + + +Your tasks : + +Architecting Data Systems: Designing robust and scalable data models to meet business needs. +ETL Development: Creating or improving efficient Extract, Transform, Load processes to integrate and process data. +Performance Optimization: Monitoring and fine-tuning data pipelines and databases foR optimal speed and efficiency. +Data Security Implementation: Establishing data security measures to protect sensitive information and ensure compliance. +Cross-functional Collaboration: Working closely with data scientists, analysts, and other teams to understand data requirements and provide technical solutions. + + + + +How do we imagine our future consultant? + +You have at least 2 years experience in data engineering +You have a Master’s degree, preferably in IT (Computer or industrial engineering) or in Business Administration or equivalent by experience (more than 5 years). +You are used to working with different data tools such as SSAS, SSIS, SSRS, AWS, Azure data factory, Apache Spark, SQL, Python, Tableau +You have a good database knowledge (SQL and NoSQL) +You are fluent in French or Dutch and have full professional capacity in English +You know what it means to work in an Agile mode +You are passionate about data, pay attention to details and you bring out concrete analysis to help the business + + + + +Why should you taste the lime flavor? + +· A broad diversity of career options: you’re not stuck in a box + +· You evolve in a learning environment where you can challenge your knowledge with your colleagues + +· You grow in a company that is at the leading edge of technology + +· You have the opportunity to bring new ideas to develop a thriving company + +· We have values we share, live with, experiment every day + + + + +We just hire great people and give them the playing field to become awesome! + + + + +""THE LITTLE THING THAT CAN MAKE THE DIFFERENCE, CREAM IS DEVELOPING A DIVERSITY PLAN AND WOULD LIKE THAT ALL ITS MEMBERS REFLECT THE SOCIETY IN ALL ITS DIVERSITY"" + +Show more ","
    + + + + + +
    +
    +

    Permanent position only


    What is Cream all about?

    We could be a Cream Factory, a cooking blog or even a detective agency…but in reality, we are a consulting company specialized in IT development and Business improvement. We are active in large organizations and industry leaders in Banking, Insurance, Telecom, Energy, Pharmaceutical & Transport.


    Cream’s special recipe:

    - 1/3 of Personal development

    - 1/3 of Collective Intelligence

    - 1/3 of Intrapreneurship


    And Bonus ingredient: … Some passionate colleagues 😀


    What is a Data Engineer at Cream?

    As a Data Engineer at Cream, you can be in charge of the implementation of BI Business Projects or potentially coaching junior data engineers. As well, be responsible for the development of data ingestion and analytics solutions (data warehouses, data marts, etc.)


    Your tasks :

    • Architecting Data Systems: Designing robust and scalable data models to meet business needs.
    • ETL Development: Creating or improving efficient Extract, Transform, Load processes to integrate and process data.
    • Performance Optimization: Monitoring and fine-tuning data pipelines and databases foR optimal speed and efficiency.
    • Data Security Implementation: Establishing data security measures to protect sensitive information and ensure compliance.
    • Cross-functional Collaboration: Working closely with data scientists, analysts, and other teams to understand data requirements and provide technical solutions.


    How do we imagine our future consultant?

    • You have at least 2 years experience in data engineering
    • You have a Master’s degree, preferably in IT (Computer or industrial engineering) or in Business Administration or equivalent by experience (more than 5 years).
    • You are used to working with different data tools such as SSAS, SSIS, SSRS, AWS, Azure data factory, Apache Spark, SQL, Python, Tableau
    • You have a good database knowledge (SQL and NoSQL)
    • You are fluent in French or Dutch and have full professional capacity in English
    • You know what it means to work in an Agile mode
    • You are passionate about data, pay attention to details and you bring out concrete analysis to help the business


    Why should you taste the lime flavor?

    · A broad diversity of career options: you’re not stuck in a box

    · You evolve in a learning environment where you can challenge your knowledge with your colleagues

    · You grow in a company that is at the leading edge of technology

    · You have the opportunity to bring new ideas to develop a thriving company

    · We have values we share, live with, experiment every day


    We just hire great people and give them the playing field to become awesome!


    ""THE LITTLE THING THAT CAN MAKE THE DIFFERENCE, CREAM IS DEVELOPING A DIVERSITY PLAN AND WOULD LIKE THAT ALL ITS MEMBERS REFLECT THE SOCIETY IN ALL ITS DIVERSITY""

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3703119698,https://be.linkedin.com/jobs/view/data-analytics-consultant-at-inetum-realdolmen-3703119698?position=6&pageNum=5&refId=yEmUn2yYEIBp2DdiXGNr9w%3D%3D&trackingId=bMACQiZZCpv0r1ayrkWUhg%3D%3D&trk=public_jobs_jserp-result_search-card,Data & Analytics Consultant,Inetum-Realdolmen,"Brussels, Brussels Region, Belgium","Mission + +Within the Digital Connected Company & Innovation we focus on helping our clients unlock the value within data. In order to support our unit, we are looking for Big Data / Analytics/ AI consultants who are able to implement an End-2-End data platform. + +A data platform designed and driven by business value, is able to ingest data in a proper way, can manage the data quality, can store data securely and offers possibilities for integration with client-specific platforms. + +As a Data & Analytics Consultant you have experience with multiple aspects of data: from (master)data management, over big data, data lakes, data visualization to data science and machine learning. You can use data in both a traditional data context (dashboard and reports), but also use it within the modern era of big data solutions, artificial intelligence and advanced analytics. + +You have experience in one or more of these domains: + + +You are able to listen to business people, understand their challenge and shape a data solution that brings value. +Set up data platforms and the data management (the data model, integration, authorization), with all the components needed to support the data strategy of the customer (AI capabilities, Visualization, MDM,..) +Build data science or machine learning solutions that will bring business value. Build and optimize the best possible algorithm but also a webservice or application that can be used in an operational environment +Visualize the data on the best possible way: from a cooperate dashboards, an interactive report to a full self-service environment +Set up processes and governance that will be enabler for a data-driven culture (data stewardship, golden record, data lineage,..) + + +Profile + + +You obtained a master’s degree in applied statistics, computer science, engineering or similar by experience +You are passionate about data and analytics technology and trends +Have at least 3 years’ experience in implementing data solution and analytics +You are fluent in Python or R +Have knowledge about data architecture, data integration, big data, data lakes, data visualization, computer vision, natural language processing, machine learning +You have experience with different data consumption techniques from traditional to more advanced analytics and AI perspective. (Power BI, Tableau, PyTorch, TensorFlow…) +Or you have hands-on experience with data platforms (e.g Azure, AWS, Google, Databricks, Boomi, Collibra, snowflake…) and are not afraid to dive into something you don’t know. +Have at least 1 year experience with Relational database technology +Have at least 1 year experience with NoSQL database technology +You have a good understanding of clustering, predictive modeling techniques and recommender systems +You have a pro-active, can-do mindset +You communicate clearly in Dutch and/or French and English (both written and spoken). + + +You get bonus points if: + + +You can present and defend your solutions in front of clients +You are able to organize, facilitate and lead workshops + + +Discover Your Future with Inetum Belgium + + +Make a Difference with a Meaningful Career: step into a role where your work truly matters. At Inetum Belgium, you’ll have the chance to impact lives and drive meaningful change every day. +Grow and Evolve Professionally: embrace a culture of continuous learning and development. We offer a range of training opportunities designed to help you expand your skills and advance your career. +Unlock Relevant Career Opportunities: pursue the career path you’ve always dreamed of with tailored opportunities and the IT expertise you need to succeed. +Achieve Work-Life Balance: we value your well-being. Enjoy flexible working hours, the convenience of satellite offices, the comfort of home working, and an informal, no-nonsense environment. +Enjoy Generous Annual Leave: life is more than just work. Take advantage of 32 days of annual leave to relax and recharge. +Travel in Comfort: forget the hassle of commuting. We provide a company car and a national fuel/charging card to keep you on the move. Prefer a different option? You can choose a mobility allowance instead. +Comprehensive Insurance Coverage: your health and security are our priorities. Benefit from group insurance and hospitalization insurance that show we care. +Attractive Compensation Package: we offer a competitive gross salary to recognize and appreciate your hard work. + + +Organization + +Inetum is a European leader in digital services. Every day, the Group's 28,000 consultants and specialists aim to make a digital impact for businesses, public sector bodies and society as a whole: solutions that contribute to performance, innovation and the common good. + +Present in 19 countries, close to the regions, and with its major software publisher partners, Inetum meets the challenges of digital transformation with proximity and flexibility. + +Driven by its ambition to grow and industrialize, Inetum generated sales of €2.5 billion in 2023. + +In response to a market that has been growing steadily for over 30 years, Inetum has made the deliberate choice to refocus on 4 core businesses in order to gain strength and offer customized solutions tailored to the specific needs of its customers: consulting (Inetum Consulting), infrastructure and application management (Inetum Technologies), software implementation (Inetum Solutions) and its own software publishing business (Inetum Software). Inetum has forged strategic partnerships with 4 of the world's leading software publishers - Salesforce, ServiceNow, Microsoft and SAP - and is pursuing a dedicated acquisition strategy to become one of Europe's top 5 in these technologies, and offer the best expertise to its customers. + +At Inetum Belgium, we offer more than just a job; we provide an inspiring environment and opportunities for growth and development. We strive to create a workplace where you can harness your talents, contribute to challenging projects, and be part of a leading IT consultancy group. +Show more ","
    + + + + + +
    +
    + Mission

    Within the Digital Connected Company & Innovation we focus on helping our clients unlock the value within data. In order to support our unit, we are looking for Big Data / Analytics/ AI consultants who are able to implement an End-2-End data platform.

    A data platform designed and driven by business value, is able to ingest data in a proper way, can manage the data quality, can store data securely and offers possibilities for integration with client-specific platforms.

    As a Data & Analytics Consultant you have experience with multiple aspects of data: from (master)data management, over big data, data lakes, data visualization to data science and machine learning. You can use data in both a traditional data context (dashboard and reports), but also use it within the modern era of big data solutions, artificial intelligence and advanced analytics.

    You have experience in one or more of these domains:

    • You are able to listen to business people, understand their challenge and shape a data solution that brings value.
    • Set up data platforms and the data management (the data model, integration, authorization), with all the components needed to support the data strategy of the customer (AI capabilities, Visualization, MDM,..)
    • Build data science or machine learning solutions that will bring business value. Build and optimize the best possible algorithm but also a webservice or application that can be used in an operational environment
    • Visualize the data on the best possible way: from a cooperate dashboards, an interactive report to a full self-service environment
    • Set up processes and governance that will be enabler for a data-driven culture (data stewardship, golden record, data lineage,..)

    Profile

    • You obtained a master’s degree in applied statistics, computer science, engineering or similar by experience
    • You are passionate about data and analytics technology and trends
    • Have at least 3 years’ experience in implementing data solution and analytics
    • You are fluent in Python or R
    • Have knowledge about data architecture, data integration, big data, data lakes, data visualization, computer vision, natural language processing, machine learning
    • You have experience with different data consumption techniques from traditional to more advanced analytics and AI perspective. (Power BI, Tableau, PyTorch, TensorFlow…)
    • Or you have hands-on experience with data platforms (e.g Azure, AWS, Google, Databricks, Boomi, Collibra, snowflake…) and are not afraid to dive into something you don’t know.
    • Have at least 1 year experience with Relational database technology
    • Have at least 1 year experience with NoSQL database technology
    • You have a good understanding of clustering, predictive modeling techniques and recommender systems
    • You have a pro-active, can-do mindset
    • You communicate clearly in Dutch and/or French and English (both written and spoken).

    You get bonus points if:

    • You can present and defend your solutions in front of clients
    • You are able to organize, facilitate and lead workshops

    Discover Your Future with Inetum Belgium

    • Make a Difference with a Meaningful Career: step into a role where your work truly matters. At Inetum Belgium, you’ll have the chance to impact lives and drive meaningful change every day.
    • Grow and Evolve Professionally: embrace a culture of continuous learning and development. We offer a range of training opportunities designed to help you expand your skills and advance your career.
    • Unlock Relevant Career Opportunities: pursue the career path you’ve always dreamed of with tailored opportunities and the IT expertise you need to succeed.
    • Achieve Work-Life Balance: we value your well-being. Enjoy flexible working hours, the convenience of satellite offices, the comfort of home working, and an informal, no-nonsense environment.
    • Enjoy Generous Annual Leave: life is more than just work. Take advantage of 32 days of annual leave to relax and recharge.
    • Travel in Comfort: forget the hassle of commuting. We provide a company car and a national fuel/charging card to keep you on the move. Prefer a different option? You can choose a mobility allowance instead.
    • Comprehensive Insurance Coverage: your health and security are our priorities. Benefit from group insurance and hospitalization insurance that show we care.
    • Attractive Compensation Package: we offer a competitive gross salary to recognize and appreciate your hard work.

    Organization

    Inetum is a European leader in digital services. Every day, the Group's 28,000 consultants and specialists aim to make a digital impact for businesses, public sector bodies and society as a whole: solutions that contribute to performance, innovation and the common good.

    Present in 19 countries, close to the regions, and with its major software publisher partners, Inetum meets the challenges of digital transformation with proximity and flexibility.

    Driven by its ambition to grow and industrialize, Inetum generated sales of €2.5 billion in 2023.

    In response to a market that has been growing steadily for over 30 years, Inetum has made the deliberate choice to refocus on 4 core businesses in order to gain strength and offer customized solutions tailored to the specific needs of its customers: consulting (Inetum Consulting), infrastructure and application management (Inetum Technologies), software implementation (Inetum Solutions) and its own software publishing business (Inetum Software). Inetum has forged strategic partnerships with 4 of the world's leading software publishers - Salesforce, ServiceNow, Microsoft and SAP - and is pursuing a dedicated acquisition strategy to become one of Europe's top 5 in these technologies, and offer the best expertise to its customers.

    At Inetum Belgium, we offer more than just a job; we provide an inspiring environment and opportunities for growth and development. We strive to create a workplace where you can harness your talents, contribute to challenging projects, and be part of a leading IT consultancy group. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-04,[] +4005334280,https://be.linkedin.com/jobs/view/young-graduate-business-analyst-data-analytics-team-at-bearingpoint-4005334280?position=7&pageNum=5&refId=yEmUn2yYEIBp2DdiXGNr9w%3D%3D&trackingId=xk8PHxnWN6vIzXlRPikDbA%3D%3D&trk=public_jobs_jserp-result_search-card,Young Graduate Business Analyst - Data & Analytics Team,BearingPoint,"Brussels Region, Belgium","Working on innovative solutions to address emerging business challenges, you will have the opportunity to make a difference in genuine partnership with market-leading clients, impacting the way people work and live in the future. + + + + +We are offering you an interesting and challenging position as + + + + +A Young Graduate Business Analyst + + + + +Main responsibilities: + + + + +Collaborate on the design and implementation of effective data management frameworks. +Work closely with market-leading clients to understand their unique data governance needs. +Assist in developing and executing comprehensive data governance solutions. +Contribute to the development and optimization of data models, structures, and workflows. +Implement and operate data governance tools, ensuring their efficiency. +Collaborate with cross-functional teams to deliver customer-focused outcomes. +Demonstrate strong analytical and programming skills when needed. + + + + +Ideal profile: + + + + +Recent MSc or MA graduate in Computer Science, Information Management, Business Engineering, or a related field. +Proficient in English, with a good command in French and/or Dutch. +Keen interest and basic knowledge in data management and data governance. +Familiarity with data models, structures, and workflows. +Exposure to at least one data governance tool is advantageous. +Proactive mindset and entrepreneurial spirit. +Effective communication and presentation skills. +Team player with a customer-success-oriented approach. +Programming skills are considered a plus. + +BearingPoint offers you: + + + + +An enriching career within a leading European Business Consulting firm with a people-centric approach. +The possibility to work on several international projects within an easy-going team. +Cross-level collaborations with our data experts, eager to share their knowledge. +Excellent growth opportunities while having access to high-quality trainings and tailor-made coaching. +An individual support from a Development Manager. +An attractive salary package (mobile phone and laptop, company car with international energy card or a mobility budget allowance, meal vouchers, hospitalization coverage and group insurance, performance-related bonus). + +Apply and become part of a quality-driven practice excelling in Data Governance! + +Show more ","
    + + + + + +
    +
    +

    Working on innovative solutions to address emerging business challenges, you will have the opportunity to make a difference in genuine partnership with market-leading clients, impacting the way people work and live in the future.


    We are offering you an interesting and challenging position as


    A Young Graduate Business Analyst


    Main responsibilities:


    • Collaborate on the design and implementation of effective data management frameworks.
    • Work closely with market-leading clients to understand their unique data governance needs.
    • Assist in developing and executing comprehensive data governance solutions.
    • Contribute to the development and optimization of data models, structures, and workflows.
    • Implement and operate data governance tools, ensuring their efficiency.
    • Collaborate with cross-functional teams to deliver customer-focused outcomes.
    • Demonstrate strong analytical and programming skills when needed.


    Ideal profile:


    • Recent MSc or MA graduate in Computer Science, Information Management, Business Engineering, or a related field.
    • Proficient in English, with a good command in French and/or Dutch.
    • Keen interest and basic knowledge in data management and data governance.
    • Familiarity with data models, structures, and workflows.
    • Exposure to at least one data governance tool is advantageous.
    • Proactive mindset and entrepreneurial spirit.
    • Effective communication and presentation skills.
    • Team player with a customer-success-oriented approach.
    • Programming skills are considered a plus.

    BearingPoint offers you:


    • An enriching career within a leading European Business Consulting firm with a people-centric approach.
    • The possibility to work on several international projects within an easy-going team.
    • Cross-level collaborations with our data experts, eager to share their knowledge.
    • Excellent growth opportunities while having access to high-quality trainings and tailor-made coaching.
    • An individual support from a Development Manager.
    • An attractive salary package (mobile phone and laptop, company car with international energy card or a mobility budget allowance, meal vouchers, hospitalization coverage and group insurance, performance-related bonus).

    Apply and become part of a quality-driven practice excelling in Data Governance!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3989671517,https://be.linkedin.com/jobs/view/electro-optical-data-analyst-measurement-campaign-coordinator-at-royal-military-academy-belgium-3989671517?position=8&pageNum=5&refId=yEmUn2yYEIBp2DdiXGNr9w%3D%3D&trackingId=Q3mhB09biQJR3GX38TLtdA%3D%3D&trk=public_jobs_jserp-result_search-card,Electro-optical data analyst/Measurement campaign coordinator,"Royal Military Academy, Belgium","Brussels, Brussels Region, Belgium","APPLICATION BY EMAIL according to the application rules hereunder (not via LinkedIn). Please attach all the documents asked. + + + + +In the framework of the study “Hyperspectral Imaging Platform for the European Defence” (ref: HYPER-IP), we are looking for a full-time researcher with : + +a Master degree (or PhD) in Science or a Master degree (or PhD) in Engineering Science, +a background in (infrared) image processing or imaging spectroscopy +experience in setting up field measurements with electro-optical sensors. + +The Royal Military Academy values diversity and equal opportunities. We enthusiastically welcome applications from all individuals, regardless of gender, origin, or other personal characteristics. Whether you are a man, a woman or X, or come from any background, we firmly believe that diversity enriches our community, and we encourage all qualified candidates to apply. + + + + +Context + +The Royal Military Academy of Belgium (RMA) is a military institution responsible for the basic academic, military and physical training of future officers, and for the continuing advanced training of officers during their active career in the Belgian Defense department (www.rma.ac.be). It is fully recognized as a university, fulfilling the same criteria as civilian universities. + +The RMA is also conducting scientific research at university level for projects funded by the Belgian Defense department or external sources. + + + + +Study + +For this project you will work within the Department of Mathematics (MWMW) of the Faculty of Applied Sciences. + +You conduct scientific research at university level on a project titled ‘Hyperspectral Imaging Platform for the European Defence’. You work within a research team and in close collaboration with the different components of the Belgian Armed Forces, as well as national and international industrial and military partners, with the aim of defining operational requirements, setting up measurement campaigns and processing of the data acquired during these measurement campaigns. A high level of autonomy is required. + +The project aims to overcome some of the current technological gaps of hyperspectral technologies in the defence sector by developing a technological demonstrator for space and airborne remote sensing applications. Hyperspectral sensors in SWIR bands show a significant added value in applications like (camouflaged) target detection, surface contaminants identification and target signatures characterization with respect to VIS bands. Moreover, the SWIR band is of interest for its operational capability in a degraded visual environment. + +Recently, SWIR hyperspectral imaging systems have made significant progress in terms of weight, size, cost, and performance, thanks to progress in third-generation intrinsic detectors, cryogenic cooling, and cost-effective fabrication techniques. The HYPER-IP project will progress the state of the art by developing an advanced miniaturized and militarized SWaP-C (Small Size, Weight, Power and Cost) demonstrator to achieve high performance in terms of signal to noise ratio and frame rate. The demonstrator will be integrated with a processing tool to enable real time understanding of the data. The final goal is to develop a hyperspectral system (imager and real time processor) to be used on small spaceborne platforms. + + + + +Main Tasks + +Perform research activities in the frame of the study project: + +Analyze the operational needs in selected scenarios +Meet with national and international partners to discuss requirements and outcomes. (Regular travel is part of the job.) +Organize measurement campaigns/field trials to validate the results. +Capture and process hyperspectral data for further exploitation by other researchers. + +Secondary Tasks + +Assist with the administrative aspects of purchases +Assist with the dissemination of the results of this study during PR events, at international conferences and in scientific journals +Assist other researchers with your knowledge, including writing of new proposals in the field of Hyperspectral Imaging. + + + + +Required skills + +Technical skills + +The applicant shall have a Master’s degree (or PhD) in Science or in Engineering Sciences. + +Your publications in peer reviewed journals in one of these domains should be added to your application. + +“MUST HAVE” skills: + +Experience with capturing electro-optical data during laboratory or field trials +Experience with processing electro-optical data +Proficiency in writing scientific and technical documents in English + +“HIGHLY RECOMMENDED” skills: + +Training or experience in hyperspectral and spectroscopy techniques and their applications +Training or experience in sensor modeling. + +Other skills + +The applicant shall have very good knowledge of English (oral / written). +The applicant shall preferably have knowledge of either French or Dutch and a minimum knowledge of the other language in order to allow collaboration with peers. This will be tested during the selection process. + +Specific requirement + +The researcher will be exposed to classified information and will therefore have to obtain the required security clearance. The candidate must consent with the background check required to obtain this clearance, which will be executed by the Belgian Defence. +Only applicants with a nationality of a country that is both part of NATO and the EU will be eligible. +A driver’s license valid in Belgium is an added value. +Working for the Patrimony requires living in Belgium for the duration of the study. + + + + +Application + +You will be working in a military environment. That is why everyone is expected to undergo a security verification. A passport issued by a country that is both member of the EU and NATO is required. Please add to your application the filled-out document. The form can be downloaded from: + +http://www.rma.ac.be/nl/aanvraag-veiligheidsverificatie (Dutch) or + +https://rma.ac.be/sites/default/files/2021-03/Demande%20d%27Avis%20de%20S%C3%A9curit%C3%A9_F.pdf (French). + +There is unfortunately no English version of this document. + +Please send your complete application by e-mail. Incomplete applications will not be considered. We do not accept applications via LinkedIn. Send ALL of the following elements to Prof Dr ir Rob HAELTERMAN (rob.haelterman@mil.be), and Dr ir Helena BRUYNINCKX (erm-deao-rswo@mil.be): + +A CV and a motivational letter +a scan of your ID card (both sides); +the filled-out security document (Please do not forget to sign & add the denomination “GELEZEN EN GOEDGEKEURD” (Dutch) or “LU ET APPROUVE” (French)) +your relevant publications (a link to an online open access repository is acceptable) + +Please mention clearly the reference of the project in the subject line of your mail: “HYPER-IP”. + +(Mails received without this reference or applications sent other than by email to all the above addresses will not be considered. Applications that do not contain all the above elements will also not be considered.) + +Application deadline: August 31st 2024 + +The interviews will take place at the Royal Military Academy, Hobbemastraat 8, 1000 Brussels. In specific cases, on-line interviews can take place. The date and time of the interview will be communicated to the preselected candidates. + + + + +Contract + +Date of selection: September 26th 2024 +Start of contract: December 2nd 2024. +This contract depends on the signature of the contract with EDA. This is currently ongoing, but should be finalized before the end of August 2024. This means that the job offer is currently provisional until that date. +Status: Full-time employment (38 hours / week) based on an open-ended contract with the Patrimony of the Royal Military Academy (you will not be a civil servant). +To be very clear: your contract will be open-ended, but the financing of the contract will be tied to a project that ends on April 1st 2027. The financing of your contract beyond that period is therefore not 100% guaranteed. However, the chance that we will be able to offer a follow-up project beyond that date is high. +Wage scale: class A1 (holder of a Master's Degree in Science); class A2 (holder of an Ir degree or equivalent Master's degree in Engineering Sciences, doctor’s degree in the same area of expertise). RMA-Patrimony applies a merit-based research career track, allowing researchers to advance in wage scale based upon annual evaluations. +Holiday pay. + +Extra-legal benefits + +Possibility to benefit from a bilingualism allowance (Dutch/French) following a SELOR test; +End-of-year bonus; +Free DKV hospitalization insurance. Possibility of additional affiliation for one or more persons living under the same roof: spouse, child(ren) (50% of the price per additional member); +Bike allowance / Free public transport (home-work commute); +Free access to campus sports facilities outside working hours; +On-campus restaurant and cafeteria with democratic prices (discount on the daily menu); +Meal vouchers (6€/day) +Flexible working hours within the 38-hour week + Teleworking possible with allowance; +Holidays o 29 days holiday / year from the 1st year of contract (then from 45 years: +1 day holiday every 5 years) o + 1 week OFF every year between Christmas and New year’s Eve +Advantages and interesting offers thanks to the Benefits@work card (discounts, vouchers...); +Entitlement to services offered by the ‘Office Central d'Action Sociale et Culturelle de la Défense’ (OCASC): among others holiday centres, discount on travel organised by the tour operator...; +Possibility of benefiting from the nursery funded by Belgian Defence (subject to availability). + + + + +Workplace + +Royal Military Academy, Avenue de la Renaissance 30, 1000 Brussels; +Occasional travels abroad for scientific conferences, etc. + +Points of contact + +Concerning the research project: to Prof Dr ir Rob HAELTERMAN (rob.haelterman@mil.be ) +Concerning the recruitment modalities: Dr ir Helena Bruyninckx (erm-deao-rswo@mil.be) +For more information about the Royal Military Academy, see http://www.rma.ac.be +Show more ","
    + + + + + +
    +
    +

    APPLICATION BY EMAIL according to the application rules hereunder (not via LinkedIn). Please attach all the documents asked.


    In the framework of the study “Hyperspectral Imaging Platform for the European Defence” (ref: HYPER-IP), we are looking for a full-time researcher with :

    • a Master degree (or PhD) in Science or a Master degree (or PhD) in Engineering Science,
    • a background in (infrared) image processing or imaging spectroscopy
    • experience in setting up field measurements with electro-optical sensors.

    The Royal Military Academy values diversity and equal opportunities. We enthusiastically welcome applications from all individuals, regardless of gender, origin, or other personal characteristics. Whether you are a man, a woman or X, or come from any background, we firmly believe that diversity enriches our community, and we encourage all qualified candidates to apply.


    Context

    The Royal Military Academy of Belgium (RMA) is a military institution responsible for the basic academic, military and physical training of future officers, and for the continuing advanced training of officers during their active career in the Belgian Defense department (www.rma.ac.be). It is fully recognized as a university, fulfilling the same criteria as civilian universities.

    The RMA is also conducting scientific research at university level for projects funded by the Belgian Defense department or external sources.


    Study

    For this project you will work within the Department of Mathematics (MWMW) of the Faculty of Applied Sciences.

    You conduct scientific research at university level on a project titled ‘Hyperspectral Imaging Platform for the European Defence’. You work within a research team and in close collaboration with the different components of the Belgian Armed Forces, as well as national and international industrial and military partners, with the aim of defining operational requirements, setting up measurement campaigns and processing of the data acquired during these measurement campaigns. A high level of autonomy is required.

    The project aims to overcome some of the current technological gaps of hyperspectral technologies in the defence sector by developing a technological demonstrator for space and airborne remote sensing applications. Hyperspectral sensors in SWIR bands show a significant added value in applications like (camouflaged) target detection, surface contaminants identification and target signatures characterization with respect to VIS bands. Moreover, the SWIR band is of interest for its operational capability in a degraded visual environment.

    Recently, SWIR hyperspectral imaging systems have made significant progress in terms of weight, size, cost, and performance, thanks to progress in third-generation intrinsic detectors, cryogenic cooling, and cost-effective fabrication techniques. The HYPER-IP project will progress the state of the art by developing an advanced miniaturized and militarized SWaP-C (Small Size, Weight, Power and Cost) demonstrator to achieve high performance in terms of signal to noise ratio and frame rate. The demonstrator will be integrated with a processing tool to enable real time understanding of the data. The final goal is to develop a hyperspectral system (imager and real time processor) to be used on small spaceborne platforms.


    Main Tasks

    Perform research activities in the frame of the study project:

    • Analyze the operational needs in selected scenarios
    • Meet with national and international partners to discuss requirements and outcomes. (Regular travel is part of the job.)
    • Organize measurement campaigns/field trials to validate the results.
    • Capture and process hyperspectral data for further exploitation by other researchers.

    Secondary Tasks

    • Assist with the administrative aspects of purchases
    • Assist with the dissemination of the results of this study during PR events, at international conferences and in scientific journals
    • Assist other researchers with your knowledge, including writing of new proposals in the field of Hyperspectral Imaging.


    Required skills

    Technical skills

    The applicant shall have a Master’s degree (or PhD) in Science or in Engineering Sciences.

    Your publications in peer reviewed journals in one of these domains should be added to your application.

    “MUST HAVE” skills:

    • Experience with capturing electro-optical data during laboratory or field trials
    • Experience with processing electro-optical data
    • Proficiency in writing scientific and technical documents in English

    “HIGHLY RECOMMENDED” skills:

    • Training or experience in hyperspectral and spectroscopy techniques and their applications
    • Training or experience in sensor modeling.

    Other skills

    • The applicant shall have very good knowledge of English (oral / written).
    • The applicant shall preferably have knowledge of either French or Dutch and a minimum knowledge of the other language in order to allow collaboration with peers. This will be tested during the selection process.

    Specific requirement

    • The researcher will be exposed to classified information and will therefore have to obtain the required security clearance. The candidate must consent with the background check required to obtain this clearance, which will be executed by the Belgian Defence.
    • Only applicants with a nationality of a country that is both part of NATO and the EU will be eligible.
    • A driver’s license valid in Belgium is an added value.
    • Working for the Patrimony requires living in Belgium for the duration of the study.


    Application

    You will be working in a military environment. That is why everyone is expected to undergo a security verification. A passport issued by a country that is both member of the EU and NATO is required. Please add to your application the filled-out document. The form can be downloaded from:

    http://www.rma.ac.be/nl/aanvraag-veiligheidsverificatie (Dutch) or

    https://rma.ac.be/sites/default/files/2021-03/Demande%20d%27Avis%20de%20S%C3%A9curit%C3%A9_F.pdf (French).

    There is unfortunately no English version of this document.

    Please send your complete application by e-mail. Incomplete applications will not be considered. We do not accept applications via LinkedIn. Send ALL of the following elements to Prof Dr ir Rob HAELTERMAN (rob.haelterman@mil.be), and Dr ir Helena BRUYNINCKX (erm-deao-rswo@mil.be):

    • A CV and a motivational letter
    • a scan of your ID card (both sides);
    • the filled-out security document (Please do not forget to sign & add the denomination “GELEZEN EN GOEDGEKEURD” (Dutch) or “LU ET APPROUVE” (French))
    • your relevant publications (a link to an online open access repository is acceptable)

    Please mention clearly the reference of the project in the subject line of your mail: “HYPER-IP”.

    (Mails received without this reference or applications sent other than by email to all the above addresses will not be considered. Applications that do not contain all the above elements will also not be considered.)

    Application deadline: August 31st 2024

    The interviews will take place at the Royal Military Academy, Hobbemastraat 8, 1000 Brussels. In specific cases, on-line interviews can take place. The date and time of the interview will be communicated to the preselected candidates.


    Contract

    • Date of selection: September 26th 2024
    • Start of contract: December 2nd 2024.
    • This contract depends on the signature of the contract with EDA. This is currently ongoing, but should be finalized before the end of August 2024. This means that the job offer is currently provisional until that date.
    • Status: Full-time employment (38 hours / week) based on an open-ended contract with the Patrimony of the Royal Military Academy (you will not be a civil servant).
    • To be very clear: your contract will be open-ended, but the financing of the contract will be tied to a project that ends on April 1st 2027. The financing of your contract beyond that period is therefore not 100% guaranteed. However, the chance that we will be able to offer a follow-up project beyond that date is high.
    • Wage scale: class A1 (holder of a Master's Degree in Science); class A2 (holder of an Ir degree or equivalent Master's degree in Engineering Sciences, doctor’s degree in the same area of expertise). RMA-Patrimony applies a merit-based research career track, allowing researchers to advance in wage scale based upon annual evaluations.
    • Holiday pay.

    Extra-legal benefits

    • Possibility to benefit from a bilingualism allowance (Dutch/French) following a SELOR test;
    • End-of-year bonus;
    • Free DKV hospitalization insurance. Possibility of additional affiliation for one or more persons living under the same roof: spouse, child(ren) (50% of the price per additional member);
    • Bike allowance / Free public transport (home-work commute);
    • Free access to campus sports facilities outside working hours;
    • On-campus restaurant and cafeteria with democratic prices (discount on the daily menu);
    • Meal vouchers (6€/day)
    • Flexible working hours within the 38-hour week + Teleworking possible with allowance;
    • Holidays o 29 days holiday / year from the 1st year of contract (then from 45 years: +1 day holiday every 5 years) o + 1 week OFF every year between Christmas and New year’s Eve
    • Advantages and interesting offers thanks to the Benefits@work card (discounts, vouchers...);
    • Entitlement to services offered by the ‘Office Central d'Action Sociale et Culturelle de la Défense’ (OCASC): among others holiday centres, discount on travel organised by the tour operator...;
    • Possibility of benefiting from the nursery funded by Belgian Defence (subject to availability).


    Workplace

    • Royal Military Academy, Avenue de la Renaissance 30, 1000 Brussels;
    • Occasional travels abroad for scientific conferences, etc.

    Points of contact

    • Concerning the research project: to Prof Dr ir Rob HAELTERMAN (rob.haelterman@mil.be )
    • Concerning the recruitment modalities: Dr ir Helena Bruyninckx (erm-deao-rswo@mil.be)
    • For more information about the Royal Military Academy, see http://www.rma.ac.be
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +3926966626,https://be.linkedin.com/jobs/view/online-data-analyst-at-telus-international-3926966626?position=2&pageNum=7&refId=GO6MLpnaHgj5APkXewDCvA%3D%3D&trackingId=jq4YNntnuhMlLhrrP8IOXg%3D%3D&trk=public_jobs_jserp-result_search-card,Online Data Analyst,TELUS International,"Brussels, Brussels Region, Belgium","We are hiring freelance English and Dutch speaking Online Data Analysts for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. The job would suit someone who is detail-oriented, likes doing research and has a good knowledge of national and local geography. + + + + +This is a freelance position on a flexible schedule - you can work in your own time whenever work is available. You will be completing research and evaluation tasks in a web-based environment, e.g., verifying and comparing data, determining the relevance and accuracy of information. You will be provided with guidelines for each task, which need to be followed. The project offers a variety of tasks, and work is paid per task. + + + + +Requirements + +Full Professional Proficiency in English & Dutch +You must be living in Belgium the last 2 consecutive years +Ability to follow guidelines and do research online using search engines, online maps and website information +You must have familiarity with current and historical business, media, sport, news, social media and cultural affairs in Belgium +Being open to work across a diverse set of Task Types (e.g. Maps, News, Audio tasks, Relevance) +Applicants must be 18 years or over. + + + + +Working on this project will require you to go through a standard recruitment process (including passing an open book assessment). This is a long-term project and your work will occasionally be subject to quality assurance checks. + + + + +Why Join the TELUS International AI Community? + +Earn additional income with flexible hours to fit your lifestyle +Better work-life balance +Be your own boss +Complimentary Well-Being package encompassing a wealth of well-being resources. +Be part of an online community + + + + +TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities for people with passion for languages. The jobs are part-time, and there is no fixed schedule. Whoever you are, wherever you come from, come join our global AI community. www.telusinternational.com + + + + +If you have any questions, do not hesitate to contact us at sourcingteam14@telusinternational.ai + +Show more ","
    + + + + + +
    +
    +

    We are hiring freelance English and Dutch speaking Online Data Analysts for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. The job would suit someone who is detail-oriented, likes doing research and has a good knowledge of national and local geography.


    This is a freelance position on a flexible schedule - you can work in your own time whenever work is available. You will be completing research and evaluation tasks in a web-based environment, e.g., verifying and comparing data, determining the relevance and accuracy of information. You will be provided with guidelines for each task, which need to be followed. The project offers a variety of tasks, and work is paid per task.


    Requirements

    • Full Professional Proficiency in English & Dutch
    • You must be living in Belgium the last 2 consecutive years
    • Ability to follow guidelines and do research online using search engines, online maps and website information
    • You must have familiarity with current and historical business, media, sport, news, social media and cultural affairs in Belgium
    • Being open to work across a diverse set of Task Types (e.g. Maps, News, Audio tasks, Relevance)
    • Applicants must be 18 years or over.


    Working on this project will require you to go through a standard recruitment process (including passing an open book assessment). This is a long-term project and your work will occasionally be subject to quality assurance checks.


    Why Join the TELUS International AI Community?

    • Earn additional income with flexible hours to fit your lifestyle
    • Better work-life balance
    • Be your own boss
    • Complimentary Well-Being package encompassing a wealth of well-being resources.
    • Be part of an online community


    TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities for people with passion for languages. The jobs are part-time, and there is no fixed schedule. Whoever you are, wherever you come from, come join our global AI community. www.telusinternational.com


    If you have any questions, do not hesitate to contact us at sourcingteam14@telusinternational.ai

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +4001717057,https://be.linkedin.com/jobs/view/data-analyst-banking-insurance-at-trifinance-belgium-4001717057?position=3&pageNum=7&refId=GO6MLpnaHgj5APkXewDCvA%3D%3D&trackingId=ub40UWjvqa7Wo%2F7VE8uinw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - Banking/Insurance,TriFinance Belgium,"Brussels, Brussels Region, Belgium","Quelles que soient vos ambitions, TriFinance vous donnera les outils pour les concrétiser. Chez TriFinance, vous travaillerez chaque jour à des projets qui sont en phase avec vos ambitions, dans un environnement placé sous le signe du partage de connaissances, du coaching et du mentoring. Nous avons toutes les opportunités qui peuvent vous faire grandir, il ne vous restera plus qu’à les saisir. Vous voulez donner vie à vos ambitions ? Alors, vous êtes peut-être la perle rare que nous recherchons ! + + + + +Votre défi + +En tant que Data Analyst, vous facilitez la prise de décision basée sur des données chez nos clients et traduisez les objectifs du business en solutions pratiques fondées sur des données. Pour ce faire, vous travaillerez dans les domaines suivants de l'analyse de données : + +Identifier et saisir les données: vous collaborez étroitement avec les équipes chargées des finances, des risques et des opérations des institutions financières afin de comprendre leurs besoins et leurs exigences. +Transformer et Analyser les données: vous collectez, transformez, enrichissez et analysez les données pour en extraire des informations précieuses. Vous utilisez des outils, des langages et des méthodes d'analyse de données pour repérer les tendances, les corrélations, les anomalies et travailler sur des modèles prédictifs. +Interpréter et visualiser les données: vous tirez des conclusions clés qui bénéficient à l'entreprise. Vous préparez des rapports et des présentations visuelles pour partager vos conclusions. +Faire le storytelling: vous livrez des récits convaincants aux parties prenantes +Langues: Etre francophone ou néerlandophone, avec une bonne connaissance de l’autre langue, et parler couramment l’anglais. + + + + + + + +Notre offre + +Nos équipes vous le confirmeront : chez TriFinance, tout tourne autour de la croissance de nos collaborateurs. Nous examinerons donc avec vous la direction que vous voulez donner à votre carrière. Notre approche comprend également des formations inspirantes, un coaching actif et de chouettes moments entre collègues, le tout dans une culture d’ouverture au sein de laquelle les collaborateurs TriFinance partagent leurs connaissances et s’aident les uns les autres. Vous pourrez également compter sur un package salarial varié, comprenant un salaire compétitif, mais aussi : + +Une voiture de société (Mini/BMW) avec carte carburant +Un smartphone avec abonnement +Un remboursement net de vos frais +Des chèques-repas et écochèques +Une assurance groupe et hospitalisation +Un horaire de travail flexible +32 jours de congé par an +Un plan cafétéria avantageux. + +Show more ","
    + + + + + +
    +
    +

    Quelles que soient vos ambitions, TriFinance vous donnera les outils pour les concrétiser. Chez TriFinance, vous travaillerez chaque jour à des projets qui sont en phase avec vos ambitions, dans un environnement placé sous le signe du partage de connaissances, du coaching et du mentoring. Nous avons toutes les opportunités qui peuvent vous faire grandir, il ne vous restera plus qu’à les saisir. Vous voulez donner vie à vos ambitions ? Alors, vous êtes peut-être la perle rare que nous recherchons !


    Votre défi

    En tant que Data Analyst, vous facilitez la prise de décision basée sur des données chez nos clients et traduisez les objectifs du business en solutions pratiques fondées sur des données. Pour ce faire, vous travaillerez dans les domaines suivants de l'analyse de données :

    • Identifier et saisir les données: vous collaborez étroitement avec les équipes chargées des finances, des risques et des opérations des institutions financières afin de comprendre leurs besoins et leurs exigences.
    • Transformer et Analyser les données: vous collectez, transformez, enrichissez et analysez les données pour en extraire des informations précieuses. Vous utilisez des outils, des langages et des méthodes d'analyse de données pour repérer les tendances, les corrélations, les anomalies et travailler sur des modèles prédictifs.
    • Interpréter et visualiser les données: vous tirez des conclusions clés qui bénéficient à l'entreprise. Vous préparez des rapports et des présentations visuelles pour partager vos conclusions.
    • Faire le storytelling: vous livrez des récits convaincants aux parties prenantes
    • Langues: Etre francophone ou néerlandophone, avec une bonne connaissance de l’autre langue, et parler couramment l’anglais.



    Notre offre

    Nos équipes vous le confirmeront : chez TriFinance, tout tourne autour de la croissance de nos collaborateurs. Nous examinerons donc avec vous la direction que vous voulez donner à votre carrière. Notre approche comprend également des formations inspirantes, un coaching actif et de chouettes moments entre collègues, le tout dans une culture d’ouverture au sein de laquelle les collaborateurs TriFinance partagent leurs connaissances et s’aident les uns les autres. Vous pourrez également compter sur un package salarial varié, comprenant un salaire compétitif, mais aussi :

    • Une voiture de société (Mini/BMW) avec carte carburant
    • Un smartphone avec abonnement
    • Un remboursement net de vos frais
    • Des chèques-repas et écochèques
    • Une assurance groupe et hospitalisation
    • Un horaire de travail flexible
    • 32 jours de congé par an
    • Un plan cafétéria avantageux.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +3926968864,https://be.linkedin.com/jobs/view/online-data-analyst-at-telus-international-3926968864?position=4&pageNum=7&refId=GO6MLpnaHgj5APkXewDCvA%3D%3D&trackingId=pheEnu20izRCeQRhsLJqbA%3D%3D&trk=public_jobs_jserp-result_search-card,Online Data Analyst,TELUS International,"Ukkel, Brussels Region, Belgium","We are hiring freelance English and Dutch speaking Online Data Analysts for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. The job would suit someone who is detail-oriented, likes doing research and has a good knowledge of national and local geography. + + + + +This is a freelance position on a flexible schedule - you can work in your own time whenever work is available. You will be completing research and evaluation tasks in a web-based environment, e.g., verifying and comparing data, determining the relevance and accuracy of information. You will be provided with guidelines for each task, which need to be followed. The project offers a variety of tasks, and work is paid per task. + + + + +Requirements + +Full Professional Proficiency in English & Dutch +You must be living in Belgium the last 2 consecutive years +Ability to follow guidelines and do research online using search engines, online maps and website information +You must have familiarity with current and historical business, media, sport, news, social media and cultural affairs in Belgium +Being open to work across a diverse set of Task Types (e.g. Maps, News, Audio tasks, Relevance) +Applicants must be 18 years or over. + + + + +Working on this project will require you to go through a standard recruitment process (including passing an open book assessment). This is a long-term project and your work will occasionally be subject to quality assurance checks. + + + + +Why Join the TELUS International AI Community? + +Earn additional income with flexible hours to fit your lifestyle +Better work-life balance +Be your own boss +Complimentary Well-Being package encompassing a wealth of well-being resources. +Be part of an online community + + + + +TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities for people with passion for languages. The jobs are part-time, and there is no fixed schedule. Whoever you are, wherever you come from, come join our global AI community. www.telusinternational.com + + + + +If you have any questions, do not hesitate to contact us at sourcingteam14@telusinternational.ai + +Show more ","
    + + + + + +
    +
    +

    We are hiring freelance English and Dutch speaking Online Data Analysts for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. The job would suit someone who is detail-oriented, likes doing research and has a good knowledge of national and local geography.


    This is a freelance position on a flexible schedule - you can work in your own time whenever work is available. You will be completing research and evaluation tasks in a web-based environment, e.g., verifying and comparing data, determining the relevance and accuracy of information. You will be provided with guidelines for each task, which need to be followed. The project offers a variety of tasks, and work is paid per task.


    Requirements

    • Full Professional Proficiency in English & Dutch
    • You must be living in Belgium the last 2 consecutive years
    • Ability to follow guidelines and do research online using search engines, online maps and website information
    • You must have familiarity with current and historical business, media, sport, news, social media and cultural affairs in Belgium
    • Being open to work across a diverse set of Task Types (e.g. Maps, News, Audio tasks, Relevance)
    • Applicants must be 18 years or over.


    Working on this project will require you to go through a standard recruitment process (including passing an open book assessment). This is a long-term project and your work will occasionally be subject to quality assurance checks.


    Why Join the TELUS International AI Community?

    • Earn additional income with flexible hours to fit your lifestyle
    • Better work-life balance
    • Be your own boss
    • Complimentary Well-Being package encompassing a wealth of well-being resources.
    • Be part of an online community


    TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities for people with passion for languages. The jobs are part-time, and there is no fixed schedule. Whoever you are, wherever you come from, come join our global AI community. www.telusinternational.com


    If you have any questions, do not hesitate to contact us at sourcingteam14@telusinternational.ai

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +3926967871,https://be.linkedin.com/jobs/view/online-data-analyst-at-telus-international-3926967871?position=5&pageNum=7&refId=GO6MLpnaHgj5APkXewDCvA%3D%3D&trackingId=N3b3qLq%2Fc1W%2FB6Be1QSE6w%3D%3D&trk=public_jobs_jserp-result_search-card,Online Data Analyst,TELUS International,"Ixelles, Brussels Region, Belgium","We are hiring freelance English and Dutch speaking Online Data Analysts for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. The job would suit someone who is detail-oriented, likes doing research and has a good knowledge of national and local geography. + + + + +This is a freelance position on a flexible schedule - you can work in your own time whenever work is available. You will be completing research and evaluation tasks in a web-based environment, e.g., verifying and comparing data, determining the relevance and accuracy of information. You will be provided with guidelines for each task, which need to be followed. The project offers a variety of tasks, and work is paid per task. + + + + +Requirements + +Full Professional Proficiency in English & Dutch +You must be living in Belgium the last 2 consecutive years +Ability to follow guidelines and do research online using search engines, online maps and website information +You must have familiarity with current and historical business, media, sport, news, social media and cultural affairs in Belgium +Being open to work across a diverse set of Task Types (e.g. Maps, News, Audio tasks, Relevance) +Applicants must be 18 years or over. + + + + +Working on this project will require you to go through a standard recruitment process (including passing an open book assessment). This is a long-term project and your work will occasionally be subject to quality assurance checks. + + + + +Why Join the TELUS International AI Community? + +Earn additional income with flexible hours to fit your lifestyle +Better work-life balance +Be your own boss +Complimentary Well-Being package encompassing a wealth of well-being resources. +Be part of an online community + + + + +TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities for people with passion for languages. The jobs are part-time, and there is no fixed schedule. Whoever you are, wherever you come from, come join our global AI community. www.telusinternational.com + + + + +If you have any questions, do not hesitate to contact us at sourcingteam14@telusinternational.ai + +Show more ","
    + + + + + +
    +
    +

    We are hiring freelance English and Dutch speaking Online Data Analysts for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. The job would suit someone who is detail-oriented, likes doing research and has a good knowledge of national and local geography.


    This is a freelance position on a flexible schedule - you can work in your own time whenever work is available. You will be completing research and evaluation tasks in a web-based environment, e.g., verifying and comparing data, determining the relevance and accuracy of information. You will be provided with guidelines for each task, which need to be followed. The project offers a variety of tasks, and work is paid per task.


    Requirements

    • Full Professional Proficiency in English & Dutch
    • You must be living in Belgium the last 2 consecutive years
    • Ability to follow guidelines and do research online using search engines, online maps and website information
    • You must have familiarity with current and historical business, media, sport, news, social media and cultural affairs in Belgium
    • Being open to work across a diverse set of Task Types (e.g. Maps, News, Audio tasks, Relevance)
    • Applicants must be 18 years or over.


    Working on this project will require you to go through a standard recruitment process (including passing an open book assessment). This is a long-term project and your work will occasionally be subject to quality assurance checks.


    Why Join the TELUS International AI Community?

    • Earn additional income with flexible hours to fit your lifestyle
    • Better work-life balance
    • Be your own boss
    • Complimentary Well-Being package encompassing a wealth of well-being resources.
    • Be part of an online community


    TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities for people with passion for languages. The jobs are part-time, and there is no fixed schedule. Whoever you are, wherever you come from, come join our global AI community. www.telusinternational.com


    If you have any questions, do not hesitate to contact us at sourcingteam14@telusinternational.ai

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +3952207203,https://be.linkedin.com/jobs/view/data-engineer-at-beobank-nv-sa-3952207203?position=8&pageNum=7&refId=GO6MLpnaHgj5APkXewDCvA%3D%3D&trackingId=KEsmSIsdAQLsxVm8oQR1BA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineer,Beobank NV/SA,"Brussels, Brussels Region, Belgium","Mission du département : + +Rattachée à la direction Direction Data, Digital & Growth Marketing, l’équipe Data Governance Architecture & Model joue un rôle crucial dans la gestion des données au sein de l'entreprise en garantissant la qualité, la sécurité et l'accessibilité des données, ainsi qu'en fournissant des outils de suivi pour permettre aux parties prenantes de prendre des décisions éclairées basées sur les données. + + + + +Rôle et responsabilités : + +En tant que Data Engineer, vous participez à la gestion des données de l'entreprise, depuis leur collecte jusqu'à leur mise à disposition pour les différents départements et les autres experts de la data tels que les concepteurs Business Intelligence, les analystes et Data Scientists. +Vous veillez à l'exhaustivité des données internes et externes pour alimenter les bases de données de l'entreprise. +Vous travaillez en étroite collaboration avec les prestataires informatiques au sein de Beobank et du groupe pour piloter les évolutions et participez aux différents groupes de travail. +Vous êtes impliqué(e) dans l'évaluation des besoins des différents départements et proposez des évolutions ou participez à la création de nouveaux datamarts. +Vous participez aux projets de reporting ou d'analyse en apportant votre expertise sur le patrimoine de données de l'entreprise et identifiez les évolutions nécessaires. + + + + +Activités principales : + +Analyse de l’activité et des besoins des utilisateurs (métiers, concepteurs BI…) +Modélisation du Système d’Information Décisionnel privative à Beobank +Diagnostic et gestion des dysfonctionnements rencontrés +Automatisation des processus et mise en place de contrôles +Maintenances correctives et évolutives +Rédaction et partage de documentation liée aux développements effectués +Pilotage de projets de petite taille en autonomie + + + + +Profil idéal : + +Compétences : + +Vous êtes doté(e) d’une efficacité opérationnelle et avez une approche constructive des situations. +Vous êtes rigoureux(se), curieux(se). +Vous savez analyser les besoins des clients et proposer des solutions que vous exposez clairement. +Vous faites preuve d’autonomie et d’initiative. +Vous avez un esprit d’analyse et de synthèse. +Vous adaptez votre façon de communiquer en fonction du public. Vous êtes capable de faire le lien entre les équipes techniques et les équipes métier. +Vous avez de bonnes capacités de communication + + + + +Connaissances : + +Vous avez une notion du fonctionnement global d’une banque, ses processus, intervenants et flux d'informations. +Vous avez une bonne maîtrise du traitement et de conception des bases de données ; +Vous êtes à l’aise avec les outils informatiques de manière générale ; +Vous maîtrisez des outils et des langages informatiques (ex. Web Focus, SQL, Excel, Outil de dataviz, SAS, Python, autres…) +Vous maitrisez le français et l’anglais. Une connaissance du néerlandais est également nécessaire. + + + + +Expérience : + +Vous possédez un diplôme de l’enseignent supérieur (universitaire ou haute école) à orientation informatique, mathématique, ingénierie, … Ou équivalent par expérience. +Vous avez une première expérience réussie dans l’exploitation des bases de données et le pilotage de projets. + + + + +Ce que nous vous offrons : + +Un contrat à durée indéterminée immédiat +Une formation associée à un programme de formation complet au siège. +En plus d’un salaire compétitif, vous bénéficiez de conditions de rémunération intéressantes assorties d’avantages extralégaux : chèques-repas, éco-chèques, 13e mois (avec possibilité de choisir des avantages alternatifs dans le cadre de notre plan cafétéria, le Flex Income Plan), assurance hospitalisation, assurance groupe, indemnité légale de déplacement, avantages pour un certain nombre de produits bancaires et d’assurances, gratification commerciale en fonction de la réalisation des objectifs fixés... et bien plus encore ! +Un travail qui évolue vite et où on apprend beaucoup. +Une équipe dynamique qui encourage l’esprit d’initiative. +Une organisation qui investit dans ses collaborateurs au travers de formations de qualité et de réelles opportunités de carrière. +Un environnement favorisant l’équilibre entre vie privée et vie professionnelle. +Un emploi au sein d’un groupe solide et non coté en bourse (Crédit Mutuel Alliance Fédérale) qui privilégie une relation à long terme avec ses collaborateurs et ses clients. + + + + +Bref, chez Beobank, vous intégrez une culture d’entreprise ouverte avec une atmosphère de travail agréable où le talent prime sur la filière ou le type d’études. Nous croyons en une approche humaine et voulons que chacun se sente bien, chez lui comme au travail. + +Vous participez à une culture basée sur l’action et bénéficiez d’une grande flexibilité : vous pouvez évoluer. + +Curieux(se) d’en savoir plus ? Envoyez-nous votre candidature dès aujourd’hui ! Place au vrai vous ! + +Show more ","
    + + + + + +
    +
    +

    Mission du département :

    Rattachée à la direction Direction Data, Digital & Growth Marketing, l’équipe Data Governance Architecture & Model joue un rôle crucial dans la gestion des données au sein de l'entreprise en garantissant la qualité, la sécurité et l'accessibilité des données, ainsi qu'en fournissant des outils de suivi pour permettre aux parties prenantes de prendre des décisions éclairées basées sur les données.


    Rôle et responsabilités :

    • En tant que Data Engineer, vous participez à la gestion des données de l'entreprise, depuis leur collecte jusqu'à leur mise à disposition pour les différents départements et les autres experts de la data tels que les concepteurs Business Intelligence, les analystes et Data Scientists.
    • Vous veillez à l'exhaustivité des données internes et externes pour alimenter les bases de données de l'entreprise.
    • Vous travaillez en étroite collaboration avec les prestataires informatiques au sein de Beobank et du groupe pour piloter les évolutions et participez aux différents groupes de travail.
    • Vous êtes impliqué(e) dans l'évaluation des besoins des différents départements et proposez des évolutions ou participez à la création de nouveaux datamarts.
    • Vous participez aux projets de reporting ou d'analyse en apportant votre expertise sur le patrimoine de données de l'entreprise et identifiez les évolutions nécessaires.


    Activités principales :

    • Analyse de l’activité et des besoins des utilisateurs (métiers, concepteurs BI…)
    • Modélisation du Système d’Information Décisionnel privative à Beobank
    • Diagnostic et gestion des dysfonctionnements rencontrés
    • Automatisation des processus et mise en place de contrôles
    • Maintenances correctives et évolutives
    • Rédaction et partage de documentation liée aux développements effectués
    • Pilotage de projets de petite taille en autonomie


    Profil idéal :

    Compétences :

    • Vous êtes doté(e) d’une efficacité opérationnelle et avez une approche constructive des situations.
    • Vous êtes rigoureux(se), curieux(se).
    • Vous savez analyser les besoins des clients et proposer des solutions que vous exposez clairement.
    • Vous faites preuve d’autonomie et d’initiative.
    • Vous avez un esprit d’analyse et de synthèse.
    • Vous adaptez votre façon de communiquer en fonction du public. Vous êtes capable de faire le lien entre les équipes techniques et les équipes métier.
    • Vous avez de bonnes capacités de communication


    Connaissances :

    • Vous avez une notion du fonctionnement global d’une banque, ses processus, intervenants et flux d'informations.
    • Vous avez une bonne maîtrise du traitement et de conception des bases de données ;
    • Vous êtes à l’aise avec les outils informatiques de manière générale ;
    • Vous maîtrisez des outils et des langages informatiques (ex. Web Focus, SQL, Excel, Outil de dataviz, SAS, Python, autres…)
    • Vous maitrisez le français et l’anglais. Une connaissance du néerlandais est également nécessaire.


    Expérience :

    • Vous possédez un diplôme de l’enseignent supérieur (universitaire ou haute école) à orientation informatique, mathématique, ingénierie, … Ou équivalent par expérience.
    • Vous avez une première expérience réussie dans l’exploitation des bases de données et le pilotage de projets.


    Ce que nous vous offrons :

    • Un contrat à durée indéterminée immédiat
    • Une formation associée à un programme de formation complet au siège.
    • En plus d’un salaire compétitif, vous bénéficiez de conditions de rémunération intéressantes assorties d’avantages extralégaux : chèques-repas, éco-chèques, 13e mois (avec possibilité de choisir des avantages alternatifs dans le cadre de notre plan cafétéria, le Flex Income Plan), assurance hospitalisation, assurance groupe, indemnité légale de déplacement, avantages pour un certain nombre de produits bancaires et d’assurances, gratification commerciale en fonction de la réalisation des objectifs fixés... et bien plus encore !
    • Un travail qui évolue vite et où on apprend beaucoup.
    • Une équipe dynamique qui encourage l’esprit d’initiative.
    • Une organisation qui investit dans ses collaborateurs au travers de formations de qualité et de réelles opportunités de carrière.
    • Un environnement favorisant l’équilibre entre vie privée et vie professionnelle.
    • Un emploi au sein d’un groupe solide et non coté en bourse (Crédit Mutuel Alliance Fédérale) qui privilégie une relation à long terme avec ses collaborateurs et ses clients.


    Bref, chez Beobank, vous intégrez une culture d’entreprise ouverte avec une atmosphère de travail agréable où le talent prime sur la filière ou le type d’études. Nous croyons en une approche humaine et voulons que chacun se sente bien, chez lui comme au travail.

    Vous participez à une culture basée sur l’action et bénéficiez d’une grande flexibilité : vous pouvez évoluer.

    Curieux(se) d’en savoir plus ? Envoyez-nous votre candidature dès aujourd’hui ! Place au vrai vous !

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3926966719,https://be.linkedin.com/jobs/view/online-data-analyst-at-telus-international-3926966719?position=9&pageNum=7&refId=GO6MLpnaHgj5APkXewDCvA%3D%3D&trackingId=g5bFZxJ3PhEH3tJF6PKZPA%3D%3D&trk=public_jobs_jserp-result_search-card,Online Data Analyst,TELUS International,"Anderlecht, Brussels Region, Belgium","We are hiring freelance English and Dutch speaking Online Data Analysts for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. The job would suit someone who is detail-oriented, likes doing research and has a good knowledge of national and local geography. + + + + +This is a freelance position on a flexible schedule - you can work in your own time whenever work is available. You will be completing research and evaluation tasks in a web-based environment, e.g., verifying and comparing data, determining the relevance and accuracy of information. You will be provided with guidelines for each task, which need to be followed. The project offers a variety of tasks, and work is paid per task. + + + + +Requirements + +Full Professional Proficiency in English & Dutch +You must be living in Belgium the last 2 consecutive years +Ability to follow guidelines and do research online using search engines, online maps and website information +You must have familiarity with current and historical business, media, sport, news, social media and cultural affairs in Belgium +Being open to work across a diverse set of Task Types (e.g. Maps, News, Audio tasks, Relevance) +Applicants must be 18 years or over. + + + + +Working on this project will require you to go through a standard recruitment process (including passing an open book assessment). This is a long-term project and your work will occasionally be subject to quality assurance checks. + + + + +Why Join the TELUS International AI Community? + +Earn additional income with flexible hours to fit your lifestyle +Better work-life balance +Be your own boss +Complimentary Well-Being package encompassing a wealth of well-being resources. +Be part of an online community + + + + +TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities for people with passion for languages. The jobs are part-time, and there is no fixed schedule. Whoever you are, wherever you come from, come join our global AI community. www.telusinternational.com + + + + +If you have any questions, do not hesitate to contact us at sourcingteam14@telusinternational.ai + +Show more ","
    + + + + + +
    +
    +

    We are hiring freelance English and Dutch speaking Online Data Analysts for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. The job would suit someone who is detail-oriented, likes doing research and has a good knowledge of national and local geography.


    This is a freelance position on a flexible schedule - you can work in your own time whenever work is available. You will be completing research and evaluation tasks in a web-based environment, e.g., verifying and comparing data, determining the relevance and accuracy of information. You will be provided with guidelines for each task, which need to be followed. The project offers a variety of tasks, and work is paid per task.


    Requirements

    • Full Professional Proficiency in English & Dutch
    • You must be living in Belgium the last 2 consecutive years
    • Ability to follow guidelines and do research online using search engines, online maps and website information
    • You must have familiarity with current and historical business, media, sport, news, social media and cultural affairs in Belgium
    • Being open to work across a diverse set of Task Types (e.g. Maps, News, Audio tasks, Relevance)
    • Applicants must be 18 years or over.


    Working on this project will require you to go through a standard recruitment process (including passing an open book assessment). This is a long-term project and your work will occasionally be subject to quality assurance checks.


    Why Join the TELUS International AI Community?

    • Earn additional income with flexible hours to fit your lifestyle
    • Better work-life balance
    • Be your own boss
    • Complimentary Well-Being package encompassing a wealth of well-being resources.
    • Be part of an online community


    TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities for people with passion for languages. The jobs are part-time, and there is no fixed schedule. Whoever you are, wherever you come from, come join our global AI community. www.telusinternational.com


    If you have any questions, do not hesitate to contact us at sourcingteam14@telusinternational.ai

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +3996029075,https://be.linkedin.com/jobs/view/quantitative-analyst-at-oil-and-gas-job-search-ltd-3996029075?position=10&pageNum=7&refId=GO6MLpnaHgj5APkXewDCvA%3D%3D&trackingId=9qzDB4qy%2BqHUuW3aOSY3hw%3D%3D&trk=public_jobs_jserp-result_search-card,Quantitative Analyst,Oil and Gas Job Search Ltd,"Brussels, Brussels Region, Belgium","Quantitative analyst + +About US (GEMS) + +ENGIE Global Energy Management & Sales (GEMS) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE's assets and contributing to value creation. + +ENGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its entity ""Global Energy Management & Sales"" who built its savoir-faire managing the Group's large and diverse asset portfolio over 20+ years. + +3,600 employees around the world develop our solutions, through +20 international business platforms. We cover the full energy mix: renewable and thermal power, natural gas & LNG, biomass, environmental products. Our experts provide tailor made solutions based on a wide range of savoir-faire in energy management with a strong focus on decarbonation and decentralization. + +Our 190,000 clients span the entire value chain: producers, asset developers, financial players, utilities, distributors and industrials. Our global reach and strong local presence enable us to offer these diverse clients tailor-made services and respond to rapid changes in mature or emerging markets alike. + +Our 4 Expertises + + +Asset management +Energy transition services +Energy supply & global commodities +Risk management & market access + + + +At GEMS we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you. + +More info on GEMS Hub (https://gems.engie.com) or LinkedIn (https://www.linkedin.com/company/engie-global-energy-management-solutions). + +Context + +The Expertise Center (EC) Quantitative Research and Modeling (QRM) within GEMS is a team of around 40 quantitative analysts. It's mission is to provide advanced quantitative expertise to all Business Platforms (BP) of GEMS. + +The quantitative analyst will be part of the ""Power & Emissions"" quant team (approximately 10 people) and will be fully dedicated to the Business Platform Power Trading, Origination and Structuring. + +Role + +The quantitative analyst should design and provide robust quantitative tools that have a concrete impact on the power business: + + +Work very closely with the BP Power Trading, Structuring and Origination, and mainly with the Renewable and Batteries Trading team and the Asset Backed Power Trading team. He / She needs to understand their business needs, and needs to provide them with high-quality quantitative support in their day to day activities. +Participate in enhancing the existing pricing and managing framework. +Deliver ad hoc tactical solutions as well as develop new pricers in the official pricing library. +Play a key role for developing new products, linked for example to the renewable and battery business (pricing, managing strategies, various risk indicators, ...). +Promote best coding practices that comply with general rules and standards. +Document and share knowledge across GEMS on the different models used within GEMS. + + + +Hard Skills + + +Must have: +Strong Financial Mathematical background (probability, stochastic calculus, various numerical methods such as Monte Carlo, finite differences, ...) +Experience on different optimization methods +Strong coding experience (preferably C# and python), object oriented programming skills +Experience in a trading environment +Familiar with Git + + +Good to have: +Experience on the power markets + +Soft Skills + + +Must have: +Practical and conceptual thinking +Ability to explain and convey messages about complex issues +Ability to deliver concrete solutions +Autonomy +Working together + +Education And Professional Background + + +Engineering or university degree (Master of PhD) in Computer Sciences, Applied Mathematics, Statistics, Physics, Financial Engineering. +Any seniority will be examined. + + + +Languages + + +English + + + +Travels + +Occasional travels (for example conferences) are possible, but limited. + +If you meet these requirements, then you are the talent we are looking for. Do not waste time! + +Apply by attaching your updated CV, regardless your gender. + +ENGIE Global Energy Management & Sales is committed to create a gender-neutral environment that unlocks the potential of everyone and provides equal employment opportunities for all individuals. + +All our positions are open to people with disabilities, please let your recruiter know if you need reasonable accommodations to be able to participate in the recruitment process, they will be happy to assist you. + +About ENGIE + +Our group is a global reference in low-carbon energy and services. Our purpose (""raison d'être"") is to act to accelerate the transition towards a carbon-neutral world, through reduced energy consumption and more environmentally-friendly solutions, reconciling economic performance with a positive impact on people and the planet. We rely on our key businesses (gas, power, renewable energy, services) to offer competitive solutions to our customers. With our 96,000 employees, our customers, partners and stakeholders, we are a community of Imaginative Builders, committed every day to more harmonious progress. +Show more ","
    + + + + + +
    +
    + Quantitative analyst

    About US (GEMS)

    ENGIE Global Energy Management & Sales (GEMS) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE's assets and contributing to value creation.

    ENGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its entity ""Global Energy Management & Sales"" who built its savoir-faire managing the Group's large and diverse asset portfolio over 20+ years.

    3,600 employees around the world develop our solutions, through +20 international business platforms. We cover the full energy mix: renewable and thermal power, natural gas & LNG, biomass, environmental products. Our experts provide tailor made solutions based on a wide range of savoir-faire in energy management with a strong focus on decarbonation and decentralization.

    Our 190,000 clients span the entire value chain: producers, asset developers, financial players, utilities, distributors and industrials. Our global reach and strong local presence enable us to offer these diverse clients tailor-made services and respond to rapid changes in mature or emerging markets alike.

    Our 4 Expertises

    • Asset management
    • Energy transition services
    • Energy supply & global commodities
    • Risk management & market access


    At GEMS we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you.

    More info on GEMS Hub (https://gems.engie.com) or LinkedIn (https://www.linkedin.com/company/engie-global-energy-management-solutions).

    Context

    The Expertise Center (EC) Quantitative Research and Modeling (QRM) within GEMS is a team of around 40 quantitative analysts. It's mission is to provide advanced quantitative expertise to all Business Platforms (BP) of GEMS.

    The quantitative analyst will be part of the ""Power & Emissions"" quant team (approximately 10 people) and will be fully dedicated to the Business Platform Power Trading, Origination and Structuring.

    Role

    The quantitative analyst should design and provide robust quantitative tools that have a concrete impact on the power business:

    • Work very closely with the BP Power Trading, Structuring and Origination, and mainly with the Renewable and Batteries Trading team and the Asset Backed Power Trading team. He / She needs to understand their business needs, and needs to provide them with high-quality quantitative support in their day to day activities.
    • Participate in enhancing the existing pricing and managing framework.
    • Deliver ad hoc tactical solutions as well as develop new pricers in the official pricing library.
    • Play a key role for developing new products, linked for example to the renewable and battery business (pricing, managing strategies, various risk indicators, ...).
    • Promote best coding practices that comply with general rules and standards.
    • Document and share knowledge across GEMS on the different models used within GEMS.


    Hard Skills

    • Must have:
      • Strong Financial Mathematical background (probability, stochastic calculus, various numerical methods such as Monte Carlo, finite differences, ...)
      • Experience on different optimization methods
      • Strong coding experience (preferably C# and python), object oriented programming skills
      • Experience in a trading environment
      • Familiar with Git

    • Good to have:
      • Experience on the power markets
    Soft Skills

    • Must have:
      • Practical and conceptual thinking
      • Ability to explain and convey messages about complex issues
      • Ability to deliver concrete solutions
      • Autonomy
      • Working together
    Education And Professional Background

    • Engineering or university degree (Master of PhD) in Computer Sciences, Applied Mathematics, Statistics, Physics, Financial Engineering.
    • Any seniority will be examined.


    Languages

    • English


    Travels

    Occasional travels (for example conferences) are possible, but limited.

    If you meet these requirements, then you are the talent we are looking for. Do not waste time!

    Apply by attaching your updated CV, regardless your gender.

    ENGIE Global Energy Management & Sales is committed to create a gender-neutral environment that unlocks the potential of everyone and provides equal employment opportunities for all individuals.

    All our positions are open to people with disabilities, please let your recruiter know if you need reasonable accommodations to be able to participate in the recruitment process, they will be happy to assist you.

    About ENGIE

    Our group is a global reference in low-carbon energy and services. Our purpose (""raison d'être"") is to act to accelerate the transition towards a carbon-neutral world, through reduced energy consumption and more environmentally-friendly solutions, reconciling economic performance with a positive impact on people and the planet. We rely on our key businesses (gas, power, renewable energy, services) to offer competitive solutions to our customers. With our 96,000 employees, our customers, partners and stakeholders, we are a community of Imaginative Builders, committed every day to more harmonious progress. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +3984311407,https://be.linkedin.com/jobs/view/data-engineer-at-ntt-data-europe-latam-3984311407?position=1&pageNum=10&refId=WSW0Vk7UBBNY8HuzZbdIRg%3D%3D&trackingId=y0sUvdiiLktiTRdiSQASLA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineer,NTT DATA Europe & Latam,"Brussels, Brussels Region, Belgium","About us + + + + +NTT DATA – a part of NTT Group - is a Top 10 global IT services provider, headquartered in Tokyo, with over 150,000 employees. + + + + +We deliver consulting solutions by combining specialized sectorial knowledge, our transformation management skills, and our large technology expertise (data, RPA, AI, low code, cloud, IoT, virtual reality), to keep our clients, as well as society, a step ahead in this digitally dynamic world. + + + + +Everything we do is underpinned by our core values of 'Teamwork', 'Foresight' and 'Clients First'. Our shared leadership principles of Collaboration, Engagement and Curiosity help us build a community where our people are equipped with the best resources to face new challenges. + + + + +We are looking for a Data Engineer to join our Data & Analytics team in Brussels. + + + + +Please only apply if you have a fluent level in French or Dutch. + + + + +Your role: + +ETL Development and Data Management. + +Develop, manage, and optimize ETL processes. Utilize Cloud Data Integration Services such as Azure Data Factory or AWS Glue with PySpark and Spark SQL to create and maintain robust ETL pipelines. + +Cloud Development and Data Analytics + +Implement cloud-based solutions using AWS or Azure, with focus on big data and data analytics specialties. +Leverage Python libraries such as NumPy, Pandas, and SciPy for data manipulation and analysis. + +Infrastructure and CI/CD Pipelines + +Develop and manage CI/CD pipelines using Bamboo and AWS CodePipeline. +Implement infrastructure-as-code (IaC) solutions with AWS CloudFormation. + + + + +Your profile: + +University degree in information technology, computer science, or a related field. +At least 7 years of experience in ETL development. +At least 5 years of cloud development (Azure/AWS/GCP). +AWS or Azure hands-on experience with Big Data or Data Analytics Specialty. +Fluent level of French or Dutch + English. + +Nice to have: + +Hands-on experience writing code for AWS Glue with PySpark and Spark SQL. +Practical knowledge of Python libraries: NumPy, Pandas, SciPy. +Familiarity with CI/CD pipelines, particularly Bamboo and AWS CodePipeline. +Understanding of the infrastructure-as-code concepts and experience with AWS CloudFormation. + + + + +Why NTT DATA ? + +🤝 We value a collaborative and supportive environment, celebrating curiosity and engagement + +🚀Career development. Training path and access to learning opportunities such, yearly performance reviews and a mentorship program + +💻 We believe in work-life balance and flexibility. Wear casual clothing, decide your working hours and enjoy our hybrid working model + +✨ We are a certified ‘Top Employer’ in Belgium and Europe. + +🌿 Health & well-being. Focus on your mental health with access to a platform with certified psychologists & mental health workshops. Take a break with one of our online fitness and well-being sessions + +🌈 Diversity & inclusion. We are committed to equal employment opportunities regardless of gender, gender expression and identity, sexual orientation, religion, culture, origin, disability, age, or other personal and social characteristics. #WeAreAllUnique #YouMakeUsUnique + +🗣 Internal Referral program Talent Friends. Refer a friend and receive a bonus when they join. + + + + +On top of this, your benefits will include: + +Company car + fuel card or flexible Mobility Budget + +Bike to work reimbursement scheme + +Medical insurance for you and your family + +Life insurance + +Certification bonus scheme + +Representation allowance + +Access to OpenUp wellbeing service + +Language courses + +Udemy account + +Discount in online shops + +Teleworking equipment allowance + +Meal vouchers + +Eco vouchers + +Internet allowance + +13th month + holiday allowance + +32 days paid annual leave + + + + +Upon receiving an interview, you may request accommodation for any accessibility needs. + +Sounds interesting? Apply now or share it with a friend 🔹 + + + + +Show more ","
    + + + + + +
    +
    +

    About us


    NTT DATA – a part of NTT Group - is a Top 10 global IT services provider, headquartered in Tokyo, with over 150,000 employees.


    We deliver consulting solutions by combining specialized sectorial knowledge, our transformation management skills, and our large technology expertise (data, RPA, AI, low code, cloud, IoT, virtual reality), to keep our clients, as well as society, a step ahead in this digitally dynamic world.


    Everything we do is underpinned by our core values of 'Teamwork', 'Foresight' and 'Clients First'. Our shared leadership principles of Collaboration, Engagement and Curiosity help us build a community where our people are equipped with the best resources to face new challenges.


    We are looking for a Data Engineer to join our Data & Analytics team in Brussels.


    Please only apply if you have a fluent level in French or Dutch.


    Your role:

    ETL Development and Data Management.

    • Develop, manage, and optimize ETL processes. Utilize Cloud Data Integration Services such as Azure Data Factory or AWS Glue with PySpark and Spark SQL to create and maintain robust ETL pipelines.

    Cloud Development and Data Analytics

    • Implement cloud-based solutions using AWS or Azure, with focus on big data and data analytics specialties.
    • Leverage Python libraries such as NumPy, Pandas, and SciPy for data manipulation and analysis.

    Infrastructure and CI/CD Pipelines

    • Develop and manage CI/CD pipelines using Bamboo and AWS CodePipeline.
    • Implement infrastructure-as-code (IaC) solutions with AWS CloudFormation.


    Your profile:

    • University degree in information technology, computer science, or a related field.
    • At least 7 years of experience in ETL development.
    • At least 5 years of cloud development (Azure/AWS/GCP).
    • AWS or Azure hands-on experience with Big Data or Data Analytics Specialty.
    • Fluent level of French or Dutch + English.

    Nice to have:

    • Hands-on experience writing code for AWS Glue with PySpark and Spark SQL.
    • Practical knowledge of Python libraries: NumPy, Pandas, SciPy.
    • Familiarity with CI/CD pipelines, particularly Bamboo and AWS CodePipeline.
    • Understanding of the infrastructure-as-code concepts and experience with AWS CloudFormation.


    Why NTT DATA ?

    🤝 We value a collaborative and supportive environment, celebrating curiosity and engagement

    🚀Career development. Training path and access to learning opportunities such, yearly performance reviews and a mentorship program

    💻 We believe in work-life balance and flexibility. Wear casual clothing, decide your working hours and enjoy our hybrid working model

    ✨ We are a certified ‘Top Employer’ in Belgium and Europe.

    🌿 Health & well-being. Focus on your mental health with access to a platform with certified psychologists & mental health workshops. Take a break with one of our online fitness and well-being sessions

    🌈 Diversity & inclusion. We are committed to equal employment opportunities regardless of gender, gender expression and identity, sexual orientation, religion, culture, origin, disability, age, or other personal and social characteristics. #WeAreAllUnique #YouMakeUsUnique

    🗣 Internal Referral program Talent Friends. Refer a friend and receive a bonus when they join.


    On top of this, your benefits will include:

    Company car + fuel card or flexible Mobility Budget

    Bike to work reimbursement scheme

    Medical insurance for you and your family

    Life insurance

    Certification bonus scheme

    Representation allowance

    Access to OpenUp wellbeing service

    Language courses

    Udemy account

    Discount in online shops

    Teleworking equipment allowance

    Meal vouchers

    Eco vouchers

    Internet allowance

    13th month + holiday allowance

    32 days paid annual leave


    Upon receiving an interview, you may request accommodation for any accessibility needs.

    Sounds interesting? Apply now or share it with a friend 🔹


    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] diff --git a/data/data_scientist_20240822.csv b/data/data_scientist_20240822.csv new file mode 100644 index 0000000..463172c --- /dev/null +++ b/data/data_scientist_20240822.csv @@ -0,0 +1,33928 @@ +Job_ID,Link,Title,Company,Place,Description,HTML,Date,Skills +3994672451,https://it.linkedin.com/jobs/view/data-scientist-at-sky-italia-3994672451?position=1&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=2%2BmmDeojQpAULMtA6OKzIw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Sky Italia,"Milan, Lombardy, Italy","We’re looking for a passionate and talented Data Scientist to join our team. In this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to real-world business situations across a variety of topics + + + + + + + +Activities + +Apply data workflow tasks as extraction, mining, preparation, quality control, KPI optimization, modelling, validation and business insight consideration. +Apply advanced analytics techniques in a big data paradigm considering multiple data sources +Develop and deploy machine/deep learning models applied to cross-functional use cases to increase customer value or operational efficiency + + + + +. + +Preferred Qualifications + +A Master’s Degree in a highly quantitative field (Statistics, Computer Science, Machine Learning, Data Science, etc.) or equivalent experience +2+ years of industry experience in predictive modeling, data science and analysis +Fluent in data wrangling and preparation: exploratory analysis, profiling & cleansing, feature selection, feature engineering, segmentation, clustering and PCA +Strong working knowledge on programming languages as Python, SQL, R, data science libraries (Pandas, Scikit-learn, XGBoost) and MLOps tools (Git, Airflow, Kubernetes) +Experience using ML/DP libraries, such as scikit-learn, caret, mlr, mllib, Keras, TensorFlow, PyTor +chExperience with cloud resources, usage of IDE (PyCharm, visualbasic) and version control systems (git) are highly valued +Experience working with GPUs to develop models +Preferred experience with Natural Language and Cognitive applications +Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment +Strong written and verbal communication skills +Fluent in Italian and English +Familiarity with digital marketing or advertising is a plus +Show more ","
    + + + + + +
    +
    +

    We’re looking for a passionate and talented Data Scientist to join our team. In this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to real-world business situations across a variety of topics



    Activities

    • Apply data workflow tasks as extraction, mining, preparation, quality control, KPI optimization, modelling, validation and business insight consideration.
    • Apply advanced analytics techniques in a big data paradigm considering multiple data sources
    • Develop and deploy machine/deep learning models applied to cross-functional use cases to increase customer value or operational efficiency


    .

    Preferred Qualifications

    • A Master’s Degree in a highly quantitative field (Statistics, Computer Science, Machine Learning, Data Science, etc.) or equivalent experience
    • 2+ years of industry experience in predictive modeling, data science and analysis
    • Fluent in data wrangling and preparation: exploratory analysis, profiling & cleansing, feature selection, feature engineering, segmentation, clustering and PCA
    • Strong working knowledge on programming languages as Python, SQL, R, data science libraries (Pandas, Scikit-learn, XGBoost) and MLOps tools (Git, Airflow, Kubernetes)
    • Experience using ML/DP libraries, such as scikit-learn, caret, mlr, mllib, Keras, TensorFlow, PyTor
    • chExperience with cloud resources, usage of IDE (PyCharm, visualbasic) and version control systems (git) are highly valued
    • Experience working with GPUs to develop models
    • Preferred experience with Natural Language and Cognitive applications
    • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
    • Strong written and verbal communication skills
    • Fluent in Italian and English
    • Familiarity with digital marketing or advertising is a plus
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3996374518,https://it.linkedin.com/jobs/view/data-scientist-at-bdo-3996374518?position=2&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=XymsXFXXVwynkgS4AFfI1Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,BDO,"Milan, Lombardy, Italy","WHAT WILL YOU DO? + + + + +Nel nostro team AI & Data Analytics sarai il fulcro di un sistema mirato a guidare le principali realtà enterprise italiane e non verso la Trasformazione Digitale tramite l’Intelligenza Artificiale e la Data Analytics. + +Sarai in una posizione privilegiata per poter cogliere esigenze nascenti e offrire risposte professionali, occupandoti di: + + + + +Sviluppo e implementazione di modelli di machine learning e intelligenza artificiale su piattaforme cloud Azure +Analisi e interpretazione di grandi set di dati per generare insights utili per il business +Collaborare con i team di sviluppo e gli stakeholder aziendali per comprendere le esigenze del business e tradurle in soluzioni tecniche. +Partecipare alla progettazione e all’ottimizzazione delle pipeline ETL +Sviluppare e mantenere script e applicazioni in Python per l’analisi dei dati e l’automazione dei processi. +Monitoraggio delle performance dei modelli di AI e miglioramento continuo delle soluzioni implementate. + + + + +YOU ARE THE RIGHT TALENT IF YOU BRING US: + + + + +Il/la candidato/a ideale sarà un/una Data Scientist con una combinazione vincente di background tecnico e spiccato Business Sense. + + + + +Laurea in Informatica, Ingegneria, Fisica, Matematica, Statistica o altre discipline affini; +Esperienza nel settore: junior/intermediate (dai neolaureati a profili con almeno 2 anni di esperienza) middle-senior (dai 3 ai 6 anni di esperienza). +Conoscenza delle tecniche ed algoritmi dei principali ambiti del mondo Data Science (Machine Learning, Deep Learning, Ottimizzazione e Inferenza Causale, Time Series Analysis); +Conoscenza di uno o più linguaggi di programmazione, preferibilmente Python con librerie principali in ambito Data Science e IDE di sviluppo; +Conoscenza avanzata del linguaggio SQL; +Conoscenza delle best practice da seguire nello sviluppo di una soluzione di Intelligenza Artificiale; +Esperienza con i servizi Azure per la gestione e l'elaborazione dei dati; +Mentalità analitica che ti consente di approcciarti ai dati e alle situazioni in modo critico, identificando soluzioni e prendendo decisioni rapide e consapevoli; +Eccellente comprensione del business e capacità di tradurre i requisiti aziendali in soluzioni tecniche; +Esperienza lavorativa in società di consulenza direzionale o informatica sarà considerata un forte plus. + +YOU FEEL WELCOMED EVERY DAY BECAUSE: + +ti sentirai da subito parte della squadra, supportato nel proporre le tue idee e visioni +respirerai un dinamismo che dà energia, un concetto di collaborazione che fa crescere la professionalità di ognuno e la qualità del team +scoprirai una forma di ambizione che sposta sempre in avanti il punto di arrivo e rende appassionante il percorso per raggiungerlo +apprezzerai il supporto di un People coach, che ti aiuterà a sviluppare il tuo potenziale e le tue competenze +troverai percorsi di carriera disegnati sulle tue ambizioni e capacità +sperimenterai i benefici della flessibilità e dello smart working + +WE ARE QUALITY SEEKERS, CLIENT SUPPORTERS, TEAM BELIEVERS & PASSION PROMOTERS + +Ci impegniamo per offrire al paese un modello di crescita sostenibile. Siamo appassionati di consulenza e di revisione ed è proprio la passione che ci ha resi una delle più importanti società mondiali in questo campo. Ci guida una motivazione forte, che si diffonde in ognuna delle nostre sedi in 164 Paesi e che troverai nei nostri 14 uffici in Italia. Amiamo il talento e le idee nuove e cresciamo grazie all’attenzione che riserviamo alla competenza delle persone e alla qualità delle relazioni: quelle all'interno della nostra società e quelle con i clienti e i fornitori. + +MAKE YOUR CAREER DEEPLY SIGNIFICANT, JOIN US AND SHARE OUR PURPOSE. + +Show more ","
    + + + + + +
    +
    +

    WHAT WILL YOU DO?


    Nel nostro team AI & Data Analytics sarai il fulcro di un sistema mirato a guidare le principali realtà enterprise italiane e non verso la Trasformazione Digitale tramite l’Intelligenza Artificiale e la Data Analytics.

    Sarai in una posizione privilegiata per poter cogliere esigenze nascenti e offrire risposte professionali, occupandoti di:


    • Sviluppo e implementazione di modelli di machine learning e intelligenza artificiale su piattaforme cloud Azure
    • Analisi e interpretazione di grandi set di dati per generare insights utili per il business
    • Collaborare con i team di sviluppo e gli stakeholder aziendali per comprendere le esigenze del business e tradurle in soluzioni tecniche.
    • Partecipare alla progettazione e all’ottimizzazione delle pipeline ETL
    • Sviluppare e mantenere script e applicazioni in Python per l’analisi dei dati e l’automazione dei processi.
    • Monitoraggio delle performance dei modelli di AI e miglioramento continuo delle soluzioni implementate.


    YOU ARE THE RIGHT TALENT IF YOU BRING US:


    Il/la candidato/a ideale sarà un/una Data Scientist con una combinazione vincente di background tecnico e spiccato Business Sense.


    • Laurea in Informatica, Ingegneria, Fisica, Matematica, Statistica o altre discipline affini;
    • Esperienza nel settore: junior/intermediate (dai neolaureati a profili con almeno 2 anni di esperienza) middle-senior (dai 3 ai 6 anni di esperienza).
    • Conoscenza delle tecniche ed algoritmi dei principali ambiti del mondo Data Science (Machine Learning, Deep Learning, Ottimizzazione e Inferenza Causale, Time Series Analysis);
    • Conoscenza di uno o più linguaggi di programmazione, preferibilmente Python con librerie principali in ambito Data Science e IDE di sviluppo;
    • Conoscenza avanzata del linguaggio SQL;
    • Conoscenza delle best practice da seguire nello sviluppo di una soluzione di Intelligenza Artificiale;
    • Esperienza con i servizi Azure per la gestione e l'elaborazione dei dati;
    • Mentalità analitica che ti consente di approcciarti ai dati e alle situazioni in modo critico, identificando soluzioni e prendendo decisioni rapide e consapevoli;
    • Eccellente comprensione del business e capacità di tradurre i requisiti aziendali in soluzioni tecniche;
    • Esperienza lavorativa in società di consulenza direzionale o informatica sarà considerata un forte plus.

    YOU FEEL WELCOMED EVERY DAY BECAUSE:

    • ti sentirai da subito parte della squadra, supportato nel proporre le tue idee e visioni
    • respirerai un dinamismo che dà energia, un concetto di collaborazione che fa crescere la professionalità di ognuno e la qualità del team
    • scoprirai una forma di ambizione che sposta sempre in avanti il punto di arrivo e rende appassionante il percorso per raggiungerlo
    • apprezzerai il supporto di un People coach, che ti aiuterà a sviluppare il tuo potenziale e le tue competenze
    • troverai percorsi di carriera disegnati sulle tue ambizioni e capacità
    • sperimenterai i benefici della flessibilità e dello smart working

    WE ARE QUALITY SEEKERS, CLIENT SUPPORTERS, TEAM BELIEVERS & PASSION PROMOTERS

    Ci impegniamo per offrire al paese un modello di crescita sostenibile. Siamo appassionati di consulenza e di revisione ed è proprio la passione che ci ha resi una delle più importanti società mondiali in questo campo. Ci guida una motivazione forte, che si diffonde in ognuna delle nostre sedi in 164 Paesi e che troverai nei nostri 14 uffici in Italia. Amiamo il talento e le idee nuove e cresciamo grazie all’attenzione che riserviamo alla competenza delle persone e alla qualità delle relazioni: quelle all'interno della nostra società e quelle con i clienti e i fornitori.

    MAKE YOUR CAREER DEEPLY SIGNIFICANT, JOIN US AND SHARE OUR PURPOSE.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3996398827,https://it.linkedin.com/jobs/view/data-scientist-formazione-%2B-assunzione-at-umana-spa-3996398827?position=3&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=JY1KYmjPOLYEh%2B8CIP1qsw%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST - FORMAZIONE + ASSUNZIONE,UMANA SPA,"Milan, Lombardy, Italy","Umana Spa organizza un’Academy gratuita con assunzione al termine, per formare la figura professionale di: + + + + + + + +DATA SCIENTIST + + + + +L’Academy è organizzata in partnership con un importante Cliente operante nel settore bancario. + + + + + + + +Inserimento lavorativo + +· Firma contratto in somministrazione al livello AREA 3 Livello 1 del CCNL Credito (€ 2599.29/ lordi mensili) a tempo determinato per 6 mesi, con scopo assunzione a tempo indeterminato + ticket da 7€. + +· Il lavoro si svolgerà presso la sede di Milano + + + + + + + +Argomenti del percorso formativo + +· Cenni Sviluppo front-end + +· Linguaggio Python + +· Intelligenza Artificiale /Machine Learning + +· SQL. + + + + + + + +Dettagli corso + +· Modalità corso in presenza a Milano presso gli uffici di formazione situati in zona Goia + +· Inizio 23 settembre + +· Durata 248 ore. Orario corso 9-18 dal lunedì al venerdì; + +· Posti disponibili: 10. + + + + + + + +Requisiti + +· Laurea STEM o ambito informatico + +· Conoscenza base Python e SQL + +· Conoscenza teorica e pratica di Analisi Statistica, Machine Learning e Intelligenza Artificiale + + + + + + + + + + +Il presente annuncio è rivolto a candidati di entrambi i sessi, i quali possono consultare l'informativa sul trattamento dei dati personali (art. 13 del Reg. UE 2016/679) su www.umana.it/privacy. Umana S.p.A. è un'Agenzia per il Lavoro - Aut. Min. Lav. Prot. n. 1181 - SG del 13/12/2004 + +Show more ","
    + + + + + +
    +
    +

    Umana Spa organizza un’Academy gratuita con assunzione al termine, per formare la figura professionale di:



    DATA SCIENTIST


    L’Academy è organizzata in partnership con un importante Cliente operante nel settore bancario.



    Inserimento lavorativo

    · Firma contratto in somministrazione al livello AREA 3 Livello 1 del CCNL Credito (€ 2599.29/ lordi mensili) a tempo determinato per 6 mesi, con scopo assunzione a tempo indeterminato + ticket da 7€.

    · Il lavoro si svolgerà presso la sede di Milano



    Argomenti del percorso formativo

    · Cenni Sviluppo front-end

    · Linguaggio Python

    · Intelligenza Artificiale /Machine Learning

    · SQL.



    Dettagli corso

    · Modalità corso in presenza a Milano presso gli uffici di formazione situati in zona Goia

    · Inizio 23 settembre

    · Durata 248 ore. Orario corso 9-18 dal lunedì al venerdì;

    · Posti disponibili: 10.



    Requisiti

    · Laurea STEM o ambito informatico

    · Conoscenza base Python e SQL

    · Conoscenza teorica e pratica di Analisi Statistica, Machine Learning e Intelligenza Artificiale




    Il presente annuncio è rivolto a candidati di entrambi i sessi, i quali possono consultare l'informativa sul trattamento dei dati personali (art. 13 del Reg. UE 2016/679) su www.umana.it/privacy. Umana S.p.A. è un'Agenzia per il Lavoro - Aut. Min. Lav. Prot. n. 1181 - SG del 13/12/2004

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +4000725873,https://it.linkedin.com/jobs/view/data-scientist-at-mollie-4000725873?position=5&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=UmCtG63MMuh6rQMRoSMfng%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Mollie,"Milan, Lombardy, Italy","Your Opportunity + +We are looking for an experienced Data Scientist to join our growing Machine Learning Craft at Mollie. Our Craft is set up as a central entity that provides ML and GenAI capabilities across Mollie. We primarily develop predictive ML models that provide decision intelligence to our colleagues in various Domains such as Monitoring, Payments, Financial Services, and Customer Experience. We also maintain a cloud-based ML Platform, which we use for both model development and production. + +In this role, you will be focused on developing ML models for the Monitoring Domain, to tackle challenges in integrity risk, credit risk, fraud detection, transaction monitoring, and more. This is a hands-on role, where you will spend most of your time developing in Python together with our team of DSs and MLEs. You will also be interfacing directly with subject matter experts & stakeholders, e.g. to evaluate the feasibility of potential DS use cases or to explain how your model works during a Team Review. + +The Monitoring Domain at Mollie consists of three teams: Credit & Fraud Monitoring, Customer Monitoring, and Transaction Monitoring. As a Data Scientist, you will belong to the Machine Learning Craft, linking you with 10 other Data Scientists & Machine Learning Engineers across Mollie, while working closely with the 3 other Data Scientists dedicated to the Monitoring Domain. + +This role is based at Mollie’s new Milan Hub. You will be part of a geographically-distributed team (Amsterdam/Lisbon/Milan) that is comfortable collaborating virtually & hybrid. + +What You'll Be Doing + + +Develop and maintain ML models for a range of use cases in the Monitoring Domain at Mollie. Ensure these models smoothly reach production and bring measurable value to our stakeholders. +Perform efficient exploratory data analysis (EDA) and present key insights to colleagues & stakeholders. +Adopt best practices and standards for the development of robust ML models. +Collaborate closely with MLEs to prepare your code & model for production using our ML Platform. +Contribute regularly to our bi-weekly DS Community of Practice (knowledge sharing sessions). +Help evaluate the feasibility of new use cases for ML in the Monitoring Domain. + + +What You'll Bring + + +1-3 years experience in data science and machine learning, including the development of models that successfully went to production. +You are an expert in using applied ML on structured data, in particular regression and classification problems using boosted decision tree (BDT) algorithms. +You have basic experience with Generative AI, both large language models (LLMs) and embedding models, especially leveraging GenAI in non-chat applications. +You approach complex problems in a structured way, always looking for the simplest, pragmatic solutions. +You understand the technical and non-technical constraints of a business problem. +You are detail-oriented but can also quickly shift priorities if required. +You enjoy working collaboratively in a cross-functional & distributed team environment. +You have great presentation skills and can communicate to a wide variety of audiences. +You have a strong foundation in statistics. +You have solid software engineering skills and love coding in Python. +You know your way around a linux shell and are comfortable with Git for version control. +You know the scikit-learn API inside and out. +You are comfortable in an agile Way of Working, with Scrum or similar frameworks. + + +Nice to have + + +Experience with Google Cloud Platform Vertex AI or similar (e.g. SageMaker). +Experience in the financial services industry (banking or fintech). +Experience with anomaly detection algorithms. +Experience with (Py)Spark to handle large datasets. +Familiarity with DevOps & MLOps principles. +M.Sc. or Ph.D. in Machine Learning, the natural sciences, or similar. +Show more ","
    + + + + + +
    +
    + Your Opportunity

    We are looking for an experienced Data Scientist to join our growing Machine Learning Craft at Mollie. Our Craft is set up as a central entity that provides ML and GenAI capabilities across Mollie. We primarily develop predictive ML models that provide decision intelligence to our colleagues in various Domains such as Monitoring, Payments, Financial Services, and Customer Experience. We also maintain a cloud-based ML Platform, which we use for both model development and production.

    In this role, you will be focused on developing ML models for the Monitoring Domain, to tackle challenges in integrity risk, credit risk, fraud detection, transaction monitoring, and more. This is a hands-on role, where you will spend most of your time developing in Python together with our team of DSs and MLEs. You will also be interfacing directly with subject matter experts & stakeholders, e.g. to evaluate the feasibility of potential DS use cases or to explain how your model works during a Team Review.

    The Monitoring Domain at Mollie consists of three teams: Credit & Fraud Monitoring, Customer Monitoring, and Transaction Monitoring. As a Data Scientist, you will belong to the Machine Learning Craft, linking you with 10 other Data Scientists & Machine Learning Engineers across Mollie, while working closely with the 3 other Data Scientists dedicated to the Monitoring Domain.

    This role is based at Mollie’s new Milan Hub. You will be part of a geographically-distributed team (Amsterdam/Lisbon/Milan) that is comfortable collaborating virtually & hybrid.

    What You'll Be Doing

    • Develop and maintain ML models for a range of use cases in the Monitoring Domain at Mollie. Ensure these models smoothly reach production and bring measurable value to our stakeholders.
    • Perform efficient exploratory data analysis (EDA) and present key insights to colleagues & stakeholders.
    • Adopt best practices and standards for the development of robust ML models.
    • Collaborate closely with MLEs to prepare your code & model for production using our ML Platform.
    • Contribute regularly to our bi-weekly DS Community of Practice (knowledge sharing sessions).
    • Help evaluate the feasibility of new use cases for ML in the Monitoring Domain.

    What You'll Bring

    • 1-3 years experience in data science and machine learning, including the development of models that successfully went to production.
    • You are an expert in using applied ML on structured data, in particular regression and classification problems using boosted decision tree (BDT) algorithms.
    • You have basic experience with Generative AI, both large language models (LLMs) and embedding models, especially leveraging GenAI in non-chat applications.
    • You approach complex problems in a structured way, always looking for the simplest, pragmatic solutions.
    • You understand the technical and non-technical constraints of a business problem.
    • You are detail-oriented but can also quickly shift priorities if required.
    • You enjoy working collaboratively in a cross-functional & distributed team environment.
    • You have great presentation skills and can communicate to a wide variety of audiences.
    • You have a strong foundation in statistics.
    • You have solid software engineering skills and love coding in Python.
    • You know your way around a linux shell and are comfortable with Git for version control.
    • You know the scikit-learn API inside and out.
    • You are comfortable in an agile Way of Working, with Scrum or similar frameworks.

    Nice to have

    • Experience with Google Cloud Platform Vertex AI or similar (e.g. SageMaker).
    • Experience in the financial services industry (banking or fintech).
    • Experience with anomaly detection algorithms.
    • Experience with (Py)Spark to handle large datasets.
    • Familiarity with DevOps & MLOps principles.
    • M.Sc. or Ph.D. in Machine Learning, the natural sciences, or similar.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +3991541668,https://it.linkedin.com/jobs/view/data-scientist-at-alkemy-enabling-evolution-3991541668?position=6&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=knxfyjI0Gu4JSvq%2BtQ0f1w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Alkemy enabling evolution,Greater Milan Metropolitan Area,"Alkemy è una società internazionale specializzata nell’evoluzione del modello di business di grandi e medie aziende e una public company quotata sul mercato MTA STAR di Borsa Italiana. + +La nostra mission è di migliorare la posizione di mercato e la competitività delle grandi e medie aziende stimolando l’evoluzione del modello di business in coerenza con l’innovazione tecnologica e i comportamenti dei consumatori. Grazie a un team di oltre 1000 persone, integriamo competenze nelle aree di Strategy, Communication, Design, Performance, Technology, Insights & Analytics con un’offerta, pensata per il contesto post-digital, che copre l’intera catena del valore dalla strategia all’implementazione. + + + + +IL RUOLO + + + + +Per il potenziamento dell’area di Data & Analytics (former Nunatac SpA), Alkemy è alla ricerca di un Data Scientist con comprovata esperienza nel ruolo. + +Una delle verticali di Alkemy è l’area Data & Analytics (precedentemente Nunatac Srl). La Mission di questa area è di accompagnare le aziende nel loro percorso di crescita, aiutandole a fondare la propria strategia sui dati e sulla conoscenza che da essi deriva. È composta da Data Scientist e Data Engineer che formano un team dinamico, informale e rigoroso al lavoro su applicazioni di Advanced Analytics innovative e di valore. + +Lavorare nell’area Data & Analytics significa affrontare tutte le sfide legate all'uso di metodi quantitativi, dalle tecniche statistiche consolidate agli approcci pionieristici di Machine Learning e Deep Learning applicati ai Big Data, per ottenere un impatto reale sul business dei nostri clienti. Siamo in continua crescita e cerchiamo nuove persone che sappiano combinare le competenze tecniche con la visione, l'intraprendenza e la passione per i dati. + + + + +Sede di lavoro: Milano + +Esperienza: Esperienza professionale di 3-6 anni in ambito Advanced Analytics + +Area: Data & Analytics + + + + +RESPONSABILITA' PRINCIPALI + + + + +Gestione della relazione con i referenti di business cliente (livello operativo, middle-management) +Sintesi e interpretazione delle esigenze di business in chiave analitica, avendo la responsabilità di trasporre le i business requirement in attività analitiche mirate a rispondere efficacemente alla richiesta di supporto +Leadership operativa verso le risorse più junior del team, supervisionando e indirizzando i talenti giovani sia da un punto di vista tecnico che sulla gestione delle attività prese in carico +Collaborazione e comunicazione con le figure senior del team Alkemy responsabili della delivery di Industry e del’area Data&Analytics + + + + +FUNZIONI PRINCIPALI + + + + +Design e sviluppo delle soluzioni analitiche a partire dall’estrazione di dati grezzi fino all’output finale, curando con metodo e creatività tutte le fasi si manipolazione, elaborazione e analisi degli stessi +Miglioramento continuo della comprensione del business del cliente, trasformando gli insight derivanti da dati e analisi in utili raccomandazioni per il processo di decision-making +Presentazione risultati e insight con i referenti di progetto e loro stakeholder interni + + + + +REQUISITI + + + + +Laurea in ambito scientifico (Statistica, Matematica, Fisica, Economia, Informatica) +Forte interesse e passione nella progettazione di soluzioni analitiche in ambito gestione e analisi dei dati, data visualization, advanced analytics e machine learning +Conoscenza e padronanza di linguaggi di interrogazione basi dati (ottima conoscenza di SQL, Python nice to have) +Ottima conoscenza di MS Excel +Capacità di sintesi e datastorytelling di risultati analitici in insight utili per il business (comprensibili e fruibili a tutti i livelli, soprattutto dirigenziali) +Attitudine al dialogo e al teamworking +Buona conoscenza lingua inglese scritta e orale + + + + +COSA OFFRIAMO + + + + +In Alkemy ci impegniamo costantemente nel creare le migliori condizioni affinché tutte le nostre persone sentano di poter esprimere al meglio il proprio valore ed il proprio talento - e possano sentire Alkemy come casa propria - indipendentemente da genere, età, nazionalità, orientamento sessuale e religioso. + +Siamo da sempre profondamente convinti che un ambiente di lavoro inclusivo che valorizzi tutte le diversità sia non solo un imperativo valoriale, ma un fattore critico di successo per il nostro business. Aggreghiamo sotto lo stesso tetto persone con professionalità e background molto diversi e da sempre promuoviamo una cultura di condivisione e crescita continua. + +Eccellenza, Passione, Integrità e Concretezza sono i valori fondanti di Alkemy, che tutti noi condividiamo e che ci guidano nel realizzare la nostra mission. I valori Alkemy definiscono la nostra identità e sono alla base della nostra cultura organizzativa, indirizzano i nostri comportamenti nei confronti di tutte le nostre persone e dei nostri clienti, costruendo evolutivamente il nostro approccio al business. + + + + +I profili ritenuti in linea verranno contattati entro 20 giorni. Non saranno valutate candidature sprovviste di cv completo allegato. I dati dei candidati verranno trattati ai sensi dell’Informativa Privacy sempre consultabile sul nostro sito.alkemy.com + +Show more ","
    + + + + + +
    +
    +

    Alkemy è una società internazionale specializzata nell’evoluzione del modello di business di grandi e medie aziende e una public company quotata sul mercato MTA STAR di Borsa Italiana.

    La nostra mission è di migliorare la posizione di mercato e la competitività delle grandi e medie aziende stimolando l’evoluzione del modello di business in coerenza con l’innovazione tecnologica e i comportamenti dei consumatori. Grazie a un team di oltre 1000 persone, integriamo competenze nelle aree di Strategy, Communication, Design, Performance, Technology, Insights & Analytics con un’offerta, pensata per il contesto post-digital, che copre l’intera catena del valore dalla strategia all’implementazione.


    IL RUOLO


    Per il potenziamento dell’area di Data & Analytics (former Nunatac SpA), Alkemy è alla ricerca di un Data Scientist con comprovata esperienza nel ruolo.

    Una delle verticali di Alkemy è l’area Data & Analytics (precedentemente Nunatac Srl). La Mission di questa area è di accompagnare le aziende nel loro percorso di crescita, aiutandole a fondare la propria strategia sui dati e sulla conoscenza che da essi deriva. È composta da Data Scientist e Data Engineer che formano un team dinamico, informale e rigoroso al lavoro su applicazioni di Advanced Analytics innovative e di valore.

    Lavorare nell’area Data & Analytics significa affrontare tutte le sfide legate all'uso di metodi quantitativi, dalle tecniche statistiche consolidate agli approcci pionieristici di Machine Learning e Deep Learning applicati ai Big Data, per ottenere un impatto reale sul business dei nostri clienti. Siamo in continua crescita e cerchiamo nuove persone che sappiano combinare le competenze tecniche con la visione, l'intraprendenza e la passione per i dati.


    Sede di lavoro: Milano

    Esperienza: Esperienza professionale di 3-6 anni in ambito Advanced Analytics

    Area: Data & Analytics


    RESPONSABILITA' PRINCIPALI


    • Gestione della relazione con i referenti di business cliente (livello operativo, middle-management)
    • Sintesi e interpretazione delle esigenze di business in chiave analitica, avendo la responsabilità di trasporre le i business requirement in attività analitiche mirate a rispondere efficacemente alla richiesta di supporto
    • Leadership operativa verso le risorse più junior del team, supervisionando e indirizzando i talenti giovani sia da un punto di vista tecnico che sulla gestione delle attività prese in carico
    • Collaborazione e comunicazione con le figure senior del team Alkemy responsabili della delivery di Industry e del’area Data&Analytics


    FUNZIONI PRINCIPALI


    • Design e sviluppo delle soluzioni analitiche a partire dall’estrazione di dati grezzi fino all’output finale, curando con metodo e creatività tutte le fasi si manipolazione, elaborazione e analisi degli stessi
    • Miglioramento continuo della comprensione del business del cliente, trasformando gli insight derivanti da dati e analisi in utili raccomandazioni per il processo di decision-making
    • Presentazione risultati e insight con i referenti di progetto e loro stakeholder interni


    REQUISITI


    • Laurea in ambito scientifico (Statistica, Matematica, Fisica, Economia, Informatica)
    • Forte interesse e passione nella progettazione di soluzioni analitiche in ambito gestione e analisi dei dati, data visualization, advanced analytics e machine learning
    • Conoscenza e padronanza di linguaggi di interrogazione basi dati (ottima conoscenza di SQL, Python nice to have)
    • Ottima conoscenza di MS Excel
    • Capacità di sintesi e datastorytelling di risultati analitici in insight utili per il business (comprensibili e fruibili a tutti i livelli, soprattutto dirigenziali)
    • Attitudine al dialogo e al teamworking
    • Buona conoscenza lingua inglese scritta e orale


    COSA OFFRIAMO


    In Alkemy ci impegniamo costantemente nel creare le migliori condizioni affinché tutte le nostre persone sentano di poter esprimere al meglio il proprio valore ed il proprio talento - e possano sentire Alkemy come casa propria - indipendentemente da genere, età, nazionalità, orientamento sessuale e religioso.

    Siamo da sempre profondamente convinti che un ambiente di lavoro inclusivo che valorizzi tutte le diversità sia non solo un imperativo valoriale, ma un fattore critico di successo per il nostro business. Aggreghiamo sotto lo stesso tetto persone con professionalità e background molto diversi e da sempre promuoviamo una cultura di condivisione e crescita continua.

    Eccellenza, Passione, Integrità e Concretezza sono i valori fondanti di Alkemy, che tutti noi condividiamo e che ci guidano nel realizzare la nostra mission. I valori Alkemy definiscono la nostra identità e sono alla base della nostra cultura organizzativa, indirizzano i nostri comportamenti nei confronti di tutte le nostre persone e dei nostri clienti, costruendo evolutivamente il nostro approccio al business.


    I profili ritenuti in linea verranno contattati entro 20 giorni. Non saranno valutate candidature sprovviste di cv completo allegato. I dati dei candidati verranno trattati ai sensi dell’Informativa Privacy sempre consultabile sul nostro sito.alkemy.com

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3930437766,https://it.linkedin.com/jobs/view/data-scientist-at-prima-3930437766?position=7&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=Yb1EyCoP0Uk254WXv4%2BLmA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Prima,"Milan, Lombardy, Italy","Got the drive to shape the future of insurance? + +At Prima, you could take on a whole new challenge. As part of our global community, you’d be in the driving seat of your career; learning and growing with a top-tier team around you. Prima is a place where no matter who you are or what your role is — your voice is valued. + +Back in 2015, we embarked on a mission: to provide great value car insurance that is designed for everyone. And we’ve come a long way, we’ve created a culture where we can fuel each other’s success. But we need your expertise, as we steer things in a new and exciting direction. + +You’re probably thinking… ‘That sounds pretty good’. We agree. + +As well as great colleagues and engaging projects, there are loads of ways we can help you do the best work of your life. We’ve shaped our offering to place a focus on wellbeing, autonomy and development. We see benefits as the fuel that will empower you to succeed, if you decide to embark on this journey with us. + +Step into the spotlight at Prima in the Pricing team and play a pivotal role in making Prima the most successful insurance company in the world. With the power of creativity, data and machine learning, you'll be at the forefront of our competitive advantage: predict the future and set prices accordingly. + +🤸🏽‍♂️ Working in a way that works for you + +We believe in work-life balance and flexibility. Whether you like working from the office, home or a mixture of both. We’ll help you find a balance that works best for you. We even have a policy that means you can work from any location for 30 days a year. We trust you to steer us forward. + +🏁 The freedom to explore the possibilities + +We may move fast at Prima, but we move together. We’re invested in your growth; so we’ll give you access to a teaching and learning marketplace. And you’ll have regular sessions with your manager to establish a personal growth plan. + +🌈 Our winning formula: happy and high-performing + +From private medical insurance to discounted gym memberships and wellbeing initiatives: we’re here to support you. We know how important your health and well-being is, so we’ll go the extra mile to help you when we can. + +If it sounds like we’ve got something that’s up your street, let’s see if you’ve got the skills we’re looking for! + +Step into the spotlight at Prima as a Data Scientist of the Pricing team and play a pivotal role in making Prima the most successful insurance company in the world. With the power of creativity, data and machine learning, you'll be at the forefront of our competitive advantage: predict the future and set prices accordingly. + +As a Data Scientist at Prima, your role is crucial in leveraging the power of artificial intelligence and advanced data analytics to decode the risks and opportunities presented by each new client. Your work directly influences our company's growth and long-term success, contributing to the achievement of our strategic goals. + +Are you the ideal candidate for this exciting role? Here's what we're looking for: + + +Academic Excellence : Impressive academic achievements in Mathematics, Physics, Engineering Mathematics, Engineering Physics, or Statistics are a plus. +Experience Not Required : No prior work experience? No problem! We're eager to invest in your talent and education. +Analytical Prowess : Strong quantitative, logical, and analytical skills are essential. At Prima, you'll tackle diverse and stimulating challenges that will put your skills to the test. +Curiosity and Innovation : We value curiosity, proactivity, and pragmatism. You'll be encouraged to pursue common goals in original and innovative ways, shaping the future with your ideas. + + +We're Also Interested In Candidates Who + + +Have international experience and are fluent in English and Italian. +Possess a solid foundation in programming and machine learning. +Know how to create and manipulate datasets using data mining languages like MySQL or Redshift. + + +Research shows that some people are less likely to apply to jobs unless they meet every single criteria. At Prima we are committed to building diverse teams so please apply even if your past experience doesn’t align perfectly with the requirements. You might still be a great fit! + +If you're curious about experiencing a day in the life of a Data Scientist, take a look at this video from our Head of Pricing & Underwriting Italy. + +Prima is a community made up of talented and ambitious individuals. We offer equal employment opportunities and are oriented towards diversity and inclusion in the workplace. We prohibit discrimination of any kind based on race, colour, gender, religion, sexual orientation, nationality, disability, genetic information, pregnancy or other protected personal characteristics, as defined by national laws. +Show more ","
    + + + + + +
    +
    + Got the drive to shape the future of insurance?

    At Prima, you could take on a whole new challenge. As part of our global community, you’d be in the driving seat of your career; learning and growing with a top-tier team around you. Prima is a place where no matter who you are or what your role is — your voice is valued.

    Back in 2015, we embarked on a mission: to provide great value car insurance that is designed for everyone. And we’ve come a long way, we’ve created a culture where we can fuel each other’s success. But we need your expertise, as we steer things in a new and exciting direction.

    You’re probably thinking… ‘That sounds pretty good’. We agree.

    As well as great colleagues and engaging projects, there are loads of ways we can help you do the best work of your life. We’ve shaped our offering to place a focus on wellbeing, autonomy and development. We see benefits as the fuel that will empower you to succeed, if you decide to embark on this journey with us.

    Step into the spotlight at Prima in the Pricing team and play a pivotal role in making Prima the most successful insurance company in the world. With the power of creativity, data and machine learning, you'll be at the forefront of our competitive advantage: predict the future and set prices accordingly.

    🤸🏽‍♂️ Working in a way that works for you

    We believe in work-life balance and flexibility. Whether you like working from the office, home or a mixture of both. We’ll help you find a balance that works best for you. We even have a policy that means you can work from any location for 30 days a year. We trust you to steer us forward.

    🏁 The freedom to explore the possibilities

    We may move fast at Prima, but we move together. We’re invested in your growth; so we’ll give you access to a teaching and learning marketplace. And you’ll have regular sessions with your manager to establish a personal growth plan.

    🌈 Our winning formula: happy and high-performing

    From private medical insurance to discounted gym memberships and wellbeing initiatives: we’re here to support you. We know how important your health and well-being is, so we’ll go the extra mile to help you when we can.

    If it sounds like we’ve got something that’s up your street, let’s see if you’ve got the skills we’re looking for!

    Step into the spotlight at Prima as a Data Scientist of the Pricing team and play a pivotal role in making Prima the most successful insurance company in the world. With the power of creativity, data and machine learning, you'll be at the forefront of our competitive advantage: predict the future and set prices accordingly.

    As a Data Scientist at Prima, your role is crucial in leveraging the power of artificial intelligence and advanced data analytics to decode the risks and opportunities presented by each new client. Your work directly influences our company's growth and long-term success, contributing to the achievement of our strategic goals.

    Are you the ideal candidate for this exciting role? Here's what we're looking for:

    • Academic Excellence : Impressive academic achievements in Mathematics, Physics, Engineering Mathematics, Engineering Physics, or Statistics are a plus.
    • Experience Not Required : No prior work experience? No problem! We're eager to invest in your talent and education.
    • Analytical Prowess : Strong quantitative, logical, and analytical skills are essential. At Prima, you'll tackle diverse and stimulating challenges that will put your skills to the test.
    • Curiosity and Innovation : We value curiosity, proactivity, and pragmatism. You'll be encouraged to pursue common goals in original and innovative ways, shaping the future with your ideas.

    We're Also Interested In Candidates Who

    • Have international experience and are fluent in English and Italian.
    • Possess a solid foundation in programming and machine learning.
    • Know how to create and manipulate datasets using data mining languages like MySQL or Redshift.

    Research shows that some people are less likely to apply to jobs unless they meet every single criteria. At Prima we are committed to building diverse teams so please apply even if your past experience doesn’t align perfectly with the requirements. You might still be a great fit!

    If you're curious about experiencing a day in the life of a Data Scientist, take a look at this video from our Head of Pricing & Underwriting Italy.

    Prima is a community made up of talented and ambitious individuals. We offer equal employment opportunities and are oriented towards diversity and inclusion in the workplace. We prohibit discrimination of any kind based on race, colour, gender, religion, sexual orientation, nationality, disability, genetic information, pregnancy or other protected personal characteristics, as defined by national laws. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3974247129,https://it.linkedin.com/jobs/view/data-scientist-at-selecta-s-p-a-3974247129?position=8&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=5w6kXDIgrLInHaZnNrZlkw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Selecta S.p.A.,"Milan, Lombardy, Italy","Chi Siamo + +Datlas Group è un'azienda in cui innovazione e trasformazione digitale si fondono per creare soluzioni all'avanguardia. Il nostro obiettivo è supportare imprese, istituti finanziari ed enti pubblici attraverso tecnologie digitali avanzate. Dallo sviluppo di processi informatizzati, siamo passati a sfruttare l'intelligenza artificiale e l'analisi avanzata per valorizzare i dati aziendali. La nostra missione è chiara: trasformare i dati in risorse strategiche, integrando Digital Platforms, Customer Operation e Physical Operation. Crediamo nel valore delle persone, siamo certificati SA8000 e promuoviamo un equilibrio tra lavoro e vita privata con orari flessibili e il nostro modello di Lavoro Agile, che permette ai dipendenti di adottare lo smart working. Investiamo costantemente nella formazione del nostro personale. + + + + +🧠 Il Nostro Impegno per l'Innovazione: + +Siamo focalizzati sull'evoluzione digitale delle informazioni, sia in inbound sia in outbound; + +Investiamo in modo significativo in Intelligenza Artificiale (AI) per ottimizzare la gestione e valutazione dei dati; + +Siamo leader nell'outsourcing di processi di dati e comunicazione multicanale + + + + +🚀Cosa Aspettarsi da Questa Posizione + +In questa posizione, avrai un ruolo attivo in tutte le fasi di creazione e mantenimento di set di dati. Potrai lavorare in un ambiente stimolante e in costante evoluzione, dove avrai l'opportunità di crescere professionalmente. Lavorerai a stretto contatto con il Responsabile Planning & Control, il CFO e il team di Controllo di gestione e Dati. Inoltre, avrai l’opportunità di collaborare con colleghi esperti provenienti da diverse aree, come sviluppatori, DevOps, visual engineer e business developer. Per progetti specifici, potrai anche contare sull'assistenza di consulenti esterni, che ti aiuteranno a raggiungere gli obiettivi prefissati. + + + + +✔️Responsabilità Principali + +Supporto nell'implementazione di un nuovo ERP, dalla migrazione dei dati alla definizione delle nuove logiche di approvvigionamento, mantenimento dei dati e creazione di un nuovo datalake/DBWH, fino all'analisi e restituzione dei dati. +Elaborazione dei dati per predisporre e mantenere serie di analisi per diverse funzioni aziendali (finance, operations, HR). +Supporto al team di controllo di gestione per analisi dei costi e delle marginalità. +Redazione e gestione della reportistica. +Calcolo e analisi dei principali indicatori finanziari e KPI per le relative Business + + + + +🖥️ Qualifiche e Competenze Richieste + +Laurea in Matematica, Statistica, Data Analysis, o discipline STEM. +Esperienza di 2-3 anni nel ruolo. +Buona padronanza della lingua inglese. + + + + +🎯Nice to have + +Conoscenza di Python. +Esperienza in migrazione di sistemi ERP e lavoro su piattaforme moderne per la gestione dei dati (Synapse/Fabric). + + + + +🌟Le Soft Skills che riteniamo importanti + +Precisione e affidabilità. +Pensiero critico e passione per l’analisi finanziaria. +Orientamento al lavoro di squadra. +Proattività, flessibilità e capacità di risoluzione dei problemi. + + + + +📍 Sede di lavoro: Milano (MI), ibrido. + +Invia la tua candidatura e inizia il tuo viaggio con noi! + +Show more ","
    + + + + + +
    +
    +

    Chi Siamo

    Datlas Group è un'azienda in cui innovazione e trasformazione digitale si fondono per creare soluzioni all'avanguardia. Il nostro obiettivo è supportare imprese, istituti finanziari ed enti pubblici attraverso tecnologie digitali avanzate. Dallo sviluppo di processi informatizzati, siamo passati a sfruttare l'intelligenza artificiale e l'analisi avanzata per valorizzare i dati aziendali. La nostra missione è chiara: trasformare i dati in risorse strategiche, integrando Digital Platforms, Customer Operation e Physical Operation. Crediamo nel valore delle persone, siamo certificati SA8000 e promuoviamo un equilibrio tra lavoro e vita privata con orari flessibili e il nostro modello di Lavoro Agile, che permette ai dipendenti di adottare lo smart working. Investiamo costantemente nella formazione del nostro personale.


    🧠 Il Nostro Impegno per l'Innovazione:

    Siamo focalizzati sull'evoluzione digitale delle informazioni, sia in inbound sia in outbound;

    Investiamo in modo significativo in Intelligenza Artificiale (AI) per ottimizzare la gestione e valutazione dei dati;

    Siamo leader nell'outsourcing di processi di dati e comunicazione multicanale


    🚀Cosa Aspettarsi da Questa Posizione

    In questa posizione, avrai un ruolo attivo in tutte le fasi di creazione e mantenimento di set di dati. Potrai lavorare in un ambiente stimolante e in costante evoluzione, dove avrai l'opportunità di crescere professionalmente. Lavorerai a stretto contatto con il Responsabile Planning & Control, il CFO e il team di Controllo di gestione e Dati. Inoltre, avrai l’opportunità di collaborare con colleghi esperti provenienti da diverse aree, come sviluppatori, DevOps, visual engineer e business developer. Per progetti specifici, potrai anche contare sull'assistenza di consulenti esterni, che ti aiuteranno a raggiungere gli obiettivi prefissati.


    ✔️Responsabilità Principali

    • Supporto nell'implementazione di un nuovo ERP, dalla migrazione dei dati alla definizione delle nuove logiche di approvvigionamento, mantenimento dei dati e creazione di un nuovo datalake/DBWH, fino all'analisi e restituzione dei dati.
    • Elaborazione dei dati per predisporre e mantenere serie di analisi per diverse funzioni aziendali (finance, operations, HR).
    • Supporto al team di controllo di gestione per analisi dei costi e delle marginalità.
    • Redazione e gestione della reportistica.
    • Calcolo e analisi dei principali indicatori finanziari e KPI per le relative Business


    🖥️ Qualifiche e Competenze Richieste

    • Laurea in Matematica, Statistica, Data Analysis, o discipline STEM.
    • Esperienza di 2-3 anni nel ruolo.
    • Buona padronanza della lingua inglese.


    🎯Nice to have

    • Conoscenza di Python.
    • Esperienza in migrazione di sistemi ERP e lavoro su piattaforme moderne per la gestione dei dati (Synapse/Fabric).


    🌟Le Soft Skills che riteniamo importanti

    • Precisione e affidabilità.
    • Pensiero critico e passione per l’analisi finanziaria.
    • Orientamento al lavoro di squadra.
    • Proattività, flessibilità e capacità di risoluzione dei problemi.


    📍 Sede di lavoro: Milano (MI), ibrido.

    Invia la tua candidatura e inizia il tuo viaggio con noi!

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    ",2024-08-08,[] +3958782882,https://it.linkedin.com/jobs/view/machine-learning-engineer-at-p4i-partners4innovation-a-digital360-company-3958782882?position=9&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=bjEu2D0vhOR0pF9PyMxzsA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,P4I - Partners4Innovation - A DIGITAL360 Company,"Milan, Lombardy, Italy","Partners4Innovation s.r.l. (“P4I”), è una realtà imprenditoriale innovativa che affonda le proprie radici nella ricerca universitaria e che oggi è una delle società di consulenza del Gruppo DIGITAL360, nato nel 2012 e pioniere in due innovativi ambiti di business in fortissima crescita a livello mondiale: ConsulTech - la rivoluzione tecnologica della consulenza, MarTech - la trasformazione digitale del marketing e delle vendite. + + + + +P4I accompagna le organizzazioni pubbliche e private nella comprensione e nell’attuazione dell’Innovazione Digitale, supportando le organizzazioni in tutte le fasi del percorso di trasformazione digitale. P4I adotta un approccio innovativo e multidisciplinare, basato sull’ascolto ed in grado di arricchire visione e competenze dei suoi interlocutori. + + + + +All'interno della nostra società di consulenza, il ruolo prevede guidare e implementare soluzioni innovative nel campo dell'elaborazione del linguaggio naturale e dell'intelligenza artificiale generativa. La figura sarà responsabile dello sviluppo e della manutenzione di infrastrutture di machine learning e AI per una varietà di clienti e progetti, garantendo prestazioni, scalabilità e affidabilità. + + + + +Principali responsabilità: + +Sviluppo di algoritmi di Machine Learning e Deep Learning per risolvere problemi di business, in diverse industry +Progettare e implementare pipeline di machine learning robuste e scalabili, con un focus su NLP e AI generativa. +Gestire l'integrazione continua e il deployment continuo (CI/CD) dei modelli AI. +Contribuire allo sviluppo di nuovi prodotti e servizi nel campo dell'NLP e dell'AI generativa. +Produzione di report e/o presentazioni +Fornire consulenza tecnica e supporto ai clienti nella definizione di Data strategy +Collaborare con i team di data science e sviluppo software per integrare efficacemente i modelli di AI in soluzioni di prodotto. + + + + +Competenze e capacità richieste: + +Ottime capacità di sviluppo software. Python is a must. +Esperienza con strumenti e framework di machine learning come TensorFlow, PyTorch o simili. +Esperienza con Docker e piattaforme cloud (AWS, Azure, GCP). +Abilità nella gestione di progetti e capacità di lavorare efficacemente in team multi-funzionali. +Forte interesse e conoscenza delle tendenze correnti nell'AI generativa. +Capacità di comunicare complessi concetti tecnici a stakeholder non tecnici. +Esperienza in ambienti di consulenza o cliente-facing. +Capacità di adattamento e apprendimento rapido in tecnologie emergenti + + + + +Requisiti: + +Laurea in Informatica, Ingegneria, o ambito correlato +Tra 1 e 3 anni di esperienza in ruoli di ML engineering, preferibilmente in ambito NLP e AI generativa. + + + + + + + +Perché lavorare con noi: + +Cerchiamo persone “smart & unconventional” che sappiano fare la differenza in azienda e fuori, mettendo sempre tanta energia e passione in tutto ciò che fanno +Lavoriamo per obiettivi e abbiamo adottato da diverso tempo una modalità di lavoro agile basata sullo Smart Working e Hybrid Working di cui siamo degli assoluti precursori. Crediamo fortemente nella flessibilità lavorativa e siamo proattivi nel diffondere la cultura del work-life balance. +Offriamo dei piani di formazione continua erogati attraverso corsi in presenza, piattaforme internazionali, certificazioni, training-on-the-job, webinar, favorita dal forte legame che ci unisce al mondo Universitario +Promuoviamo una cultura che rispetti e valorizzi ciascuna diversità in un’ottica di crescita sostenibile e inclusiva + + + + +La ricerca rispetta il d.lgs. 198/2006 ed è aperta a persone con disabilità, di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. + + + + + + + +DIGITAL360 S.p.A invita a leggere l'informativa sulla privacy alla pagina: https://access.networkdigital360.it/informativa-candidatura-unica + +Show more ","
    + + + + + +
    +
    +

    Partners4Innovation s.r.l. (“P4I”), è una realtà imprenditoriale innovativa che affonda le proprie radici nella ricerca universitaria e che oggi è una delle società di consulenza del Gruppo DIGITAL360, nato nel 2012 e pioniere in due innovativi ambiti di business in fortissima crescita a livello mondiale: ConsulTech - la rivoluzione tecnologica della consulenza, MarTech - la trasformazione digitale del marketing e delle vendite.


    P4I accompagna le organizzazioni pubbliche e private nella comprensione e nell’attuazione dell’Innovazione Digitale, supportando le organizzazioni in tutte le fasi del percorso di trasformazione digitale. P4I adotta un approccio innovativo e multidisciplinare, basato sull’ascolto ed in grado di arricchire visione e competenze dei suoi interlocutori.


    All'interno della nostra società di consulenza, il ruolo prevede guidare e implementare soluzioni innovative nel campo dell'elaborazione del linguaggio naturale e dell'intelligenza artificiale generativa. La figura sarà responsabile dello sviluppo e della manutenzione di infrastrutture di machine learning e AI per una varietà di clienti e progetti, garantendo prestazioni, scalabilità e affidabilità.


    Principali responsabilità:

    • Sviluppo di algoritmi di Machine Learning e Deep Learning per risolvere problemi di business, in diverse industry
    • Progettare e implementare pipeline di machine learning robuste e scalabili, con un focus su NLP e AI generativa.
    • Gestire l'integrazione continua e il deployment continuo (CI/CD) dei modelli AI.
    • Contribuire allo sviluppo di nuovi prodotti e servizi nel campo dell'NLP e dell'AI generativa.
    • Produzione di report e/o presentazioni
    • Fornire consulenza tecnica e supporto ai clienti nella definizione di Data strategy
    • Collaborare con i team di data science e sviluppo software per integrare efficacemente i modelli di AI in soluzioni di prodotto.


    Competenze e capacità richieste:

    • Ottime capacità di sviluppo software. Python is a must.
    • Esperienza con strumenti e framework di machine learning come TensorFlow, PyTorch o simili.
    • Esperienza con Docker e piattaforme cloud (AWS, Azure, GCP).
    • Abilità nella gestione di progetti e capacità di lavorare efficacemente in team multi-funzionali.
    • Forte interesse e conoscenza delle tendenze correnti nell'AI generativa.
    • Capacità di comunicare complessi concetti tecnici a stakeholder non tecnici.
    • Esperienza in ambienti di consulenza o cliente-facing.
    • Capacità di adattamento e apprendimento rapido in tecnologie emergenti


    Requisiti:

    • Laurea in Informatica, Ingegneria, o ambito correlato
    • Tra 1 e 3 anni di esperienza in ruoli di ML engineering, preferibilmente in ambito NLP e AI generativa.



    Perché lavorare con noi:

    • Cerchiamo persone “smart & unconventional” che sappiano fare la differenza in azienda e fuori, mettendo sempre tanta energia e passione in tutto ciò che fanno
    • Lavoriamo per obiettivi e abbiamo adottato da diverso tempo una modalità di lavoro agile basata sullo Smart Working e Hybrid Working di cui siamo degli assoluti precursori. Crediamo fortemente nella flessibilità lavorativa e siamo proattivi nel diffondere la cultura del work-life balance.
    • Offriamo dei piani di formazione continua erogati attraverso corsi in presenza, piattaforme internazionali, certificazioni, training-on-the-job, webinar, favorita dal forte legame che ci unisce al mondo Universitario
    • Promuoviamo una cultura che rispetti e valorizzi ciascuna diversità in un’ottica di crescita sostenibile e inclusiva


    La ricerca rispetta il d.lgs. 198/2006 ed è aperta a persone con disabilità, di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività.



    DIGITAL360 S.p.A invita a leggere l'informativa sulla privacy alla pagina: https://access.networkdigital360.it/informativa-candidatura-unica

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4002686313,https://it.linkedin.com/jobs/view/data-scientist-internship-hybrid-milan-at-motork-4002686313?position=12&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=mB1YbE4rR3dR7CnEva51xw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Internship (Hybrid - Milan),MotorK,"Milan, Lombardy, Italy","MotorK is the leading sales and marketing technology company in Europe, specialising in the automotive sector. At MotorK, we aim to empower manufacturers and dealerships to sell more with innovative, cloud-based products and services to offer the best digital customer experience. + +We are on a fast and ambitious trajectory, serving 90% of the automotive manufacturers. To continue our growth, we are hiring new talents. If you want to spark the future of the automotive world, join us. + +We're headquartered in Milan, Italy, where you'll find most of our employees but the teams you'll work with areas across Europe and the UK. + +About the Role + +We are looking for a motivated and dynamic person to assist in the data extraction, wrangling and analysis for the automation of internal functionalities & systems in MotorK. + + + + + +Requirements + + + +Medium Python programming skills +Basic of Structured Query Language(SQL) knowledge +Basic understanding of cloud environments, along data analysis and statistics knowledge +Ability to assist in data summarisation, visualization and pre-processing +Willingness to learn and adapt in a dynamic data environment +Team player with a collaborative and critical mindset + + +Good to have + +Bachelor's degree in Computer Science or a related field +Some prior practical experience in a data-related role or real-time project + + + + + +Benefits + + +Paid internship +Meal Vouchers (€7 per working day) +Individual training paths +Opportunity to develop and move within the company +National and international mobility options  +Yearly team building activities +Food canteen at the office + + + + + +MotorK is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any kind. Our company is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at MotorK are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, age, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. + +Show more ","
    + + + + + +
    +
    +

    MotorK is the leading sales and marketing technology company in Europe, specialising in the automotive sector. At MotorK, we aim to empower manufacturers and dealerships to sell more with innovative, cloud-based products and services to offer the best digital customer experience.

    We are on a fast and ambitious trajectory, serving 90% of the automotive manufacturers. To continue our growth, we are hiring new talents. If you want to spark the future of the automotive world, join us.

    We're headquartered in Milan, Italy, where you'll find most of our employees but the teams you'll work with areas across Europe and the UK.

    About the Role

    We are looking for a motivated and dynamic person to assist in the data extraction, wrangling and analysis for the automation of internal functionalities & systems in MotorK.



    Requirements

    • Medium Python programming skills
    • Basic of Structured Query Language(SQL) knowledge
    • Basic understanding of cloud environments, along data analysis and statistics knowledge
    • Ability to assist in data summarisation, visualization and pre-processing
    • Willingness to learn and adapt in a dynamic data environment
    • Team player with a collaborative and critical mindset


    Good to have

    • Bachelor's degree in Computer Science or a related field
    • Some prior practical experience in a data-related role or real-time project



    Benefits

    • Paid internship
    • Meal Vouchers (€7 per working day)
    • Individual training paths
    • Opportunity to develop and move within the company
    • National and international mobility options 
    • Yearly team building activities
    • Food canteen at the office



    MotorK is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any kind. Our company is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at MotorK are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, age, family or parental status, or any other status protected by the laws or regulations in the locations where we operate.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3996357725,https://it.linkedin.com/jobs/view/machine-learning-engineer-at-reply-3996357725?position=13&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=Jc6g6UETDFD2N4fP239R6Q%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Reply,"Milan, Lombardy, Italy","Are you a brilliant new graduate, passionate about Big Data and Machine Learning? Do you think Artificial Intelligence is changing the world with groundbreaking innovation? Dive into Deep Learning algorithms and cutting-edge techniques to develop human-machine interaction. + +Join Reply! + + + + +WHAT WE OFFER + +A technological nirvana. At Reply, true innovation runs in our blood. We have a nerdy heart and we are proud of it. Cool tech stack, guaranteed hands-on experience, challenges, hackathons, table footballs and free coffee are already waiting for you. +A continuous learning experience. In Reply, what you know is never enough. Choose from internal webinars, learn from other Replyers and teach others what keeps you awake at night. +A structured career. The perfect path to your achievements. Now with a brand new Graduate Programme. + + + + +WHAT WE NEED + +Academic background. With a brilliant Bachelor's or Master's degree in Computer Engineering, Computer Science or technical equivalent. +Teamwork mindset. In Reply, we believe in teamwork. Once here, your team will be your family and will guide you everywhere. We hope you will love it. +Curiosity and drive. We ask you to love what you do. And to always aim for excellence. + + + + +WHO WE ARE + +Reply is a company that specialises in Consulting, Systems Integration and Digital Services with a focus on the conception, design and implementation of solutions based on the new communication channels and digital media. Reply partners with key industrial groups in defining and developing business models made possible by the new technological and communication paradigms such as Artificial Intelligence, Big Data, Cloud Computing, Digital Communication, the Internet of Things and Mobile and Social Networking. + +Feel interested? + +Show more ","
    + + + + + +
    +
    +

    Are you a brilliant new graduate, passionate about Big Data and Machine Learning? Do you think Artificial Intelligence is changing the world with groundbreaking innovation? Dive into Deep Learning algorithms and cutting-edge techniques to develop human-machine interaction.

    Join Reply!


    WHAT WE OFFER

    • A technological nirvana. At Reply, true innovation runs in our blood. We have a nerdy heart and we are proud of it. Cool tech stack, guaranteed hands-on experience, challenges, hackathons, table footballs and free coffee are already waiting for you.
    • A continuous learning experience. In Reply, what you know is never enough. Choose from internal webinars, learn from other Replyers and teach others what keeps you awake at night.
    • A structured career. The perfect path to your achievements. Now with a brand new Graduate Programme.


    WHAT WE NEED

    • Academic background. With a brilliant Bachelor's or Master's degree in Computer Engineering, Computer Science or technical equivalent.
    • Teamwork mindset. In Reply, we believe in teamwork. Once here, your team will be your family and will guide you everywhere. We hope you will love it.
    • Curiosity and drive. We ask you to love what you do. And to always aim for excellence.


    WHO WE ARE

    Reply is a company that specialises in Consulting, Systems Integration and Digital Services with a focus on the conception, design and implementation of solutions based on the new communication channels and digital media. Reply partners with key industrial groups in defining and developing business models made possible by the new technological and communication paradigms such as Artificial Intelligence, Big Data, Cloud Computing, Digital Communication, the Internet of Things and Mobile and Social Networking.

    Feel interested?

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3825899217,https://it.linkedin.com/jobs/view/junior-data-scientist-milano-cns-at-pwc-italy-3825899217?position=14&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=8pLDqTKDAoWnEyYCgrHexQ%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Scientist - Milano [CNS],PwC Italy,"Milan, Lombardy, Italy","Vuoi essere al centro di prospettive di crescita uniche? Entra nella practice Technology Consulting di PwC e diventa: + +Junior Data & Analytics Consultant + +YOUR PERSPECTIVE + +Prenderai parte a diversi progetti di trasformazione del business dei principali players in ambito Automotive & Industrial Manufacturing, Consumer Markets, Energy & Utilities, Financial Services, Telco & Media attraverso l’efficientamento e la reingegnerizzazione dei processi interni. + +Grazie all’accesso alle vaste competenze del nostro network internazionale, potrai dare spazio alle tue idee e fornire il contributo innovativo che hai sempre desiderato. + +Sarai coinvolto in progetti di consulenza e maturerai esperienza in ambito Data Science, all’interno del team Data & Analytics. + +Aiuterai i nostri clienti ad esplorare nuove opportunità di business sviluppando abilità quali: + + +Utilizzare in modo consapevole e bilanciato competenze analitiche, capacità decisionali e comprensione delle dinamiche di business nell'elaborazione di potenziali soluzioni alle criticità dei nostri clienti +Supportare i clienti a comprendere il valore aggiunto dell’adozione di Data Science, Machine Learning o Intelligenza Artificiale nelle loro realtà e a trarne il massimo beneficio +Sviluppare solide relazioni a tutti i livelli gerarchici, basate sulla reciproca fiducia in una realtà Worldwide +Essere proattivo nell'acquisire nuove conoscenze ed expertise +Comunicare ai clienti in modo chiaro ed efficace il valore aggiunto che PwC + + +YOUR UNIQUE STRENGHTS + + +Hai conseguito o stai conseguendo una laurea magistrale in Data Science, Statistica, Ingegneria Matematica, Fisica, Matematica o altre discipline scientifiche (area STEM). +Parli e scrivi in inglese fluentemente. +Costituisce titolo preferenziale la conoscenza delle principali tecniche di Machine Learning, Deep Learning e Advanced Analytics. +Costituisce titolo preferenziale la conoscenza di linguaggi di programmazione e software per l'analisi dei dati come Python, R e SAS. +Hai una forte propensione/interesse per le nuove tecnologie e per l’informatica. +Hai ottime capacità di analisi e di problem solving. +Sai lavorare per obiettivi e metterti in gioco con passione +Sei un team worker e hai buone capacità relazionali e comunicative. +Hai sempre la valigia pronta per un viaggio di lavoro e sei motivato all’attività di consulenza +Show more ","
    + + + + + +
    +
    + Vuoi essere al centro di prospettive di crescita uniche? Entra nella practice Technology Consulting di PwC e diventa:

    Junior Data & Analytics Consultant

    YOUR PERSPECTIVE

    Prenderai parte a diversi progetti di trasformazione del business dei principali players in ambito Automotive & Industrial Manufacturing, Consumer Markets, Energy & Utilities, Financial Services, Telco & Media attraverso l’efficientamento e la reingegnerizzazione dei processi interni.

    Grazie all’accesso alle vaste competenze del nostro network internazionale, potrai dare spazio alle tue idee e fornire il contributo innovativo che hai sempre desiderato.

    Sarai coinvolto in progetti di consulenza e maturerai esperienza in ambito Data Science, all’interno del team Data & Analytics.

    Aiuterai i nostri clienti ad esplorare nuove opportunità di business sviluppando abilità quali:

    • Utilizzare in modo consapevole e bilanciato competenze analitiche, capacità decisionali e comprensione delle dinamiche di business nell'elaborazione di potenziali soluzioni alle criticità dei nostri clienti
    • Supportare i clienti a comprendere il valore aggiunto dell’adozione di Data Science, Machine Learning o Intelligenza Artificiale nelle loro realtà e a trarne il massimo beneficio
    • Sviluppare solide relazioni a tutti i livelli gerarchici, basate sulla reciproca fiducia in una realtà Worldwide
    • Essere proattivo nell'acquisire nuove conoscenze ed expertise
    • Comunicare ai clienti in modo chiaro ed efficace il valore aggiunto che PwC

    YOUR UNIQUE STRENGHTS

    • Hai conseguito o stai conseguendo una laurea magistrale in Data Science, Statistica, Ingegneria Matematica, Fisica, Matematica o altre discipline scientifiche (area STEM).
    • Parli e scrivi in inglese fluentemente.
    • Costituisce titolo preferenziale la conoscenza delle principali tecniche di Machine Learning, Deep Learning e Advanced Analytics.
    • Costituisce titolo preferenziale la conoscenza di linguaggi di programmazione e software per l'analisi dei dati come Python, R e SAS.
    • Hai una forte propensione/interesse per le nuove tecnologie e per l’informatica.
    • Hai ottime capacità di analisi e di problem solving.
    • Sai lavorare per obiettivi e metterti in gioco con passione
    • Sei un team worker e hai buone capacità relazionali e comunicative.
    • Hai sempre la valigia pronta per un viaggio di lavoro e sei motivato all’attività di consulenza
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +3985516021,https://it.linkedin.com/jobs/view/junior-%E2%80%93-artificial-intelligence-and-data-%E2%80%93-roma-milano-napoli-consulting-at-deloitte-3985516021?position=15&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=sWYQwtowhoNGRsfDS8aDEg%3D%3D&trk=public_jobs_jserp-result_search-card,"Junior – Artificial Intelligence and Data – Roma, Milano, Napoli - Consulting",Deloitte,"Milan, Lombardy, Italy","Stiamo cercando una figura junior da inserire nel team di Artificial Intelligence and Data di Deloitte Consulting nelle sedi di Roma/Milano/Napoli, che lavorerà in modalità Hybrid. + +Nel Team di Artificial Intelligence & Data avrai l’occasione di aiutare, in ambito Analytics, le aziende a valorizzare i dati provenienti da fonti eterogenee trasformandoli in informazioni accurate e immediatamente utilizzabili, elementi indispensabili per quelle aziende che vogliono fare decision-making fact-driven. La Offering Artificial Intelligence & Data è pertanto l’opzione best in class nell’individuazione, progettazione e implementazione di soluzioni di Advanced Analytics, Machine Learning, Data Visualization, Big Data Management, con un approccio agnostico dal punto di vista tecnologico. + +Your Role + +La risorsa Junior sarà inserita in un team di lavoro, affiancando colleghi senior e occupandosi di: + + +Interpretare proattivamente i bisogni del cliente, individuando metodologie e approcci coerenti +Sviluppare iniziative e soluzioni in modo indipendente, raccogliendo ed analizzando dati a supporto dell’elaborazione di soluzioni per i clienti +Elaborare teaser e presentazioni per supportare il top management +Individuare potenziali rischi e criticità e condividerli tempestivamente con il resto del team +Collaborare efficacemente in team eterogenei ed internazionali + + +Winning Requirements + + +Brillante percorso accademico con laurea specialistica in materie STEM +Familiarità con la modellazione e linguaggio di interrogazione dei data base; conoscenza di uno o più linguaggi di accesso al dato e programmazione (Python, R, Java, SQL); ottima conoscenza degli applicativi MS Word, MS Excel e MS Power Point; nozioni accademiche di modelli statistici per l’analisi dei dati +Forte propensione/interesse per le nuove tecnologie e per l’informatica +Elevata attitudine a lavorare sia autonomamente che in team, capacità analitiche e di problem solving, gestione dello stress, flessibilità, precisione e uno spiccato orientamento al raggiungimento dei risultati +Ottima conoscenza della lingua inglese; disponibilità a lavorare in trasferta, anche all’estero + + +Make An Impact That Matters + +Deloitte è un network leader nei servizi professionali alle imprese, presente in oltre 150 Paesi con 457 mila professionisti. Offriamo soluzioni innovative e sostenibili in Audit & Assurance, Consulting, Financial Advisory, Risk Advisory, Tax e Legal. Il nostro obiettivo è supportare le aziende nello sviluppo e nell'implementazione di strategie al passo con il mercato. + +In Deloitte la sostenibilità è un tema centrale. Per questo, attraverso le strategie e le progettualità legate alle tematiche Environmental, Social e Governance (ESG), ci impegniamo a promuovere una crescita responsabile, sostenibile e inclusiva per il Pianeta, le nostre persone e la società. Scopri di più sulle nostre strategie di Corporate Sustainability, tra cui Well-being, la strategia volta a migliorare il benessere fisico, mentale e sociale delle nostre persone, affinché siano felici e piene di energia in tutti gli ambiti della loro vita e WorldClimate, la strategia globale di Deloitte per diventare un’organizzazione Net Zero e per guidare scelte responsabili all’interno e all’esterno dell’organizzazione. + +Sei pront* a #MakeAnImpactThatMatter insieme? Candidati ora! + +Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del dlgs. 196/2003. La ricerca rispetta il d.lgs. 198/2006, il D.lgs. 215/03 e il D.lgs. 216/03 ed è aperta a candidat* di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. +Show more ","
    + + + + + +
    +
    + Stiamo cercando una figura junior da inserire nel team di Artificial Intelligence and Data di Deloitte Consulting nelle sedi di Roma/Milano/Napoli, che lavorerà in modalità Hybrid.

    Nel Team di Artificial Intelligence & Data avrai l’occasione di aiutare, in ambito Analytics, le aziende a valorizzare i dati provenienti da fonti eterogenee trasformandoli in informazioni accurate e immediatamente utilizzabili, elementi indispensabili per quelle aziende che vogliono fare decision-making fact-driven. La Offering Artificial Intelligence & Data è pertanto l’opzione best in class nell’individuazione, progettazione e implementazione di soluzioni di Advanced Analytics, Machine Learning, Data Visualization, Big Data Management, con un approccio agnostico dal punto di vista tecnologico.

    Your Role

    La risorsa Junior sarà inserita in un team di lavoro, affiancando colleghi senior e occupandosi di:

    • Interpretare proattivamente i bisogni del cliente, individuando metodologie e approcci coerenti
    • Sviluppare iniziative e soluzioni in modo indipendente, raccogliendo ed analizzando dati a supporto dell’elaborazione di soluzioni per i clienti
    • Elaborare teaser e presentazioni per supportare il top management
    • Individuare potenziali rischi e criticità e condividerli tempestivamente con il resto del team
    • Collaborare efficacemente in team eterogenei ed internazionali

    Winning Requirements

    • Brillante percorso accademico con laurea specialistica in materie STEM
    • Familiarità con la modellazione e linguaggio di interrogazione dei data base; conoscenza di uno o più linguaggi di accesso al dato e programmazione (Python, R, Java, SQL); ottima conoscenza degli applicativi MS Word, MS Excel e MS Power Point; nozioni accademiche di modelli statistici per l’analisi dei dati
    • Forte propensione/interesse per le nuove tecnologie e per l’informatica
    • Elevata attitudine a lavorare sia autonomamente che in team, capacità analitiche e di problem solving, gestione dello stress, flessibilità, precisione e uno spiccato orientamento al raggiungimento dei risultati
    • Ottima conoscenza della lingua inglese; disponibilità a lavorare in trasferta, anche all’estero

    Make An Impact That Matters

    Deloitte è un network leader nei servizi professionali alle imprese, presente in oltre 150 Paesi con 457 mila professionisti. Offriamo soluzioni innovative e sostenibili in Audit & Assurance, Consulting, Financial Advisory, Risk Advisory, Tax e Legal. Il nostro obiettivo è supportare le aziende nello sviluppo e nell'implementazione di strategie al passo con il mercato.

    In Deloitte la sostenibilità è un tema centrale. Per questo, attraverso le strategie e le progettualità legate alle tematiche Environmental, Social e Governance (ESG), ci impegniamo a promuovere una crescita responsabile, sostenibile e inclusiva per il Pianeta, le nostre persone e la società. Scopri di più sulle nostre strategie di Corporate Sustainability, tra cui Well-being, la strategia volta a migliorare il benessere fisico, mentale e sociale delle nostre persone, affinché siano felici e piene di energia in tutti gli ambiti della loro vita e WorldClimate, la strategia globale di Deloitte per diventare un’organizzazione Net Zero e per guidare scelte responsabili all’interno e all’esterno dell’organizzazione.

    Sei pront* a #MakeAnImpactThatMatter insieme? Candidati ora!

    Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del dlgs. 196/2003. La ricerca rispetta il d.lgs. 198/2006, il D.lgs. 215/03 e il D.lgs. 216/03 ed è aperta a candidat* di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-26,[] +3989061570,https://it.linkedin.com/jobs/view/junior-data-scientist-at-prometeia-3989061570?position=18&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=jmiKL77Tpq5ZyqtJVTUR5g%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Scientist,Prometeia,"Milan, Lombardy, Italy","Junior Data Scientist + + + + +Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills? + +Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world. + +We are looking for candidates interested in enriching our Data Science team, and the development of new technologies/tools related to it. + + + + +PROFILE: + + + + +The ideal candidate is a student / new graduate in machine learning / big data engineering subjects. He/she is interested in using large amounts of data to develop models and applications in the financial / insurance domain. He/she is also interested in software engineering and is willing to gain experience in the scientific computing domain. + + + + +RESPONSIBILITIES: + + + + +Critical analysis of large volumes of banking/insurance data. +Participation in the development of behavioral models using Artificial Intelligence in the areas of Risk, Wealth & Asset Management +Participation in analysis sharing, problem solving, implementation, testing and documentation activities as part of projects assigned to the team +Development and review of simple prototypes/analytic components within more complex pipelines + +REQUIREMENTS: + + + + +Knowledge of statistics, Machine Learning and major clustering, classification and regression algorithms +Experience in data wrangling, cleaning, exploration, and feature extraction. +Familiarity with Python libraries and tools for Machine Learning (numpy/pandas) and scientific computing. +Attention to detail, excellent communication and teamwork skills. +Critical/experimental approach to data analysis. + +NICE TO HAVE: + + + + +Ability to rapidly define ideas and solutions, develop critical analyses, and use creative approaches to solve complex problems. +Experience with code versioning systems (git). +Experience in Pyspark development. +Experience in processing and modeling with unstructured data (Text Analytics, Computer Vision) + +EDUCATION & EXPERIENCE: + +Bachelor's/Master's degree with excellent grades in Data Science, Statistics, Physics, Mathematics, Computer Science, or related fields (PhD in the same fields is nice to have) +Experience in a corporate environment (including internships), preferably in finance or insurance. + + + + +LOCATION: + +Milan Brera + + + + +WHAT WE OFFER: + + + + +COMPENSATION, WELFARE & BENEFIT + +Our history, as well as the future, is based on the value of our people. The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life. We call it 'Total Compensation' and is made up of Compensation - consisting of a fixed and a variable component -, an important Welfare Plan, active since 2015 – we have been among the first to introduce it in Italy - and Benefits, which include all the initiatives undertaken for the well-being of our people. + + + + +REMOTE WORKING + +Flexibility is an intrinsic value of the way we work. At Prometeia, smart working is an organizational method based on trust, which results in benefits in terms of work/life balance, impact on the environment and optimization of company results, through autonomy and empowerment of people. + + + + +PEOPLE PROGRAM + +Our evaluation system is based on the full enhancement of people and their continuous dialogue as a stimulus for regular, mutual professional and personal growth. Transparent discussions between managers and team members are set up within the projects, where reciprocal and timely feedback is exchanged. The process is fully digitalized and aimed at continuously improving the development trajectory of the individual and the company. + + + + +TRAINING + +Prometeia means ongoing training. We provide an average of 11 days of training per year to our people, in person and online. Particular attention is paid to younger colleagues, who are the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important, through immediate and direct confrontation with the market. + + + + +WIN/WIN POLICY + +If you are one of our employees, and you recommend a person who is later recruited, you are entitled to a financial bonus! This is an important opportunity to contribute to the growth of Prometeia as a whole, by attracting acknowledged market professionals and new tech talents. + + + + +PHYGITAL MANAGEMENT + +Through the dedicated app Pr(Home)teia, we have completely digitalized and integrated the management of our physical and virtual environments. Access to the office, smart working, workstations, meeting rooms, car pooling... everything is just a click away. + + + + +COMMUNITY + +Our Community is extremely diverse, as are the skills of the people who are part of it and who share its values, and the individuals and organizations that are directly or indirectly involved in our activities. Clients, People of the Group, Alumni, Institutions, Academia, non-profit entities with which we actively collaborate, are stakeholders representing a great value for us, in terms of trust and collaboration. + + + + +DIVERSITY + +We promote and respect equal opportunities and consider differences as a value. Diversity & Inclusion are fundamental values: from the selection phase to everyday life, also through dedicated training moments to develop individual sensitivities and unicities. + + + + +IMPACT + +We responsibly take an active role towards the environment, the territories and the communities in which we operate. Our Headquarter in Bologna has obtained the Leed Gold Certification, one of the highest awards that recognizes the performance of the building in terms of energy and water savings, reduction of CO2 emissions, improvement of the ecological quality of the interior, materials and resources used. In the Sustainability Report we report the results achieved within the 17 Sustainable Development Goals (SDGs) of the 2030 Agenda that, drafted by the United Nations in 2016, we have been supporting since 2020. + +Show more ","
    + + + + + +
    +
    +

    Junior Data Scientist


    Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills?

    Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.

    We are looking for candidates interested in enriching our Data Science team, and the development of new technologies/tools related to it.


    PROFILE:


    The ideal candidate is a student / new graduate in machine learning / big data engineering subjects. He/she is interested in using large amounts of data to develop models and applications in the financial / insurance domain. He/she is also interested in software engineering and is willing to gain experience in the scientific computing domain.


    RESPONSIBILITIES:


    • Critical analysis of large volumes of banking/insurance data.
    • Participation in the development of behavioral models using Artificial Intelligence in the areas of Risk, Wealth & Asset Management
    • Participation in analysis sharing, problem solving, implementation, testing and documentation activities as part of projects assigned to the team
    • Development and review of simple prototypes/analytic components within more complex pipelines

    REQUIREMENTS:


    • Knowledge of statistics, Machine Learning and major clustering, classification and regression algorithms
    • Experience in data wrangling, cleaning, exploration, and feature extraction.
    • Familiarity with Python libraries and tools for Machine Learning (numpy/pandas) and scientific computing.
    • Attention to detail, excellent communication and teamwork skills.
    • Critical/experimental approach to data analysis.

    NICE TO HAVE:


    • Ability to rapidly define ideas and solutions, develop critical analyses, and use creative approaches to solve complex problems.
    • Experience with code versioning systems (git).
    • Experience in Pyspark development.
    • Experience in processing and modeling with unstructured data (Text Analytics, Computer Vision)

  • EDUCATION & EXPERIENCE:

    • Bachelor's/Master's degree with excellent grades in Data Science, Statistics, Physics, Mathematics, Computer Science, or related fields (PhD in the same fields is nice to have)
    • Experience in a corporate environment (including internships), preferably in finance or insurance.


    LOCATION:

    Milan Brera


    WHAT WE OFFER:


    COMPENSATION, WELFARE & BENEFIT

    Our history, as well as the future, is based on the value of our people. The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life. We call it 'Total Compensation' and is made up of Compensation - consisting of a fixed and a variable component -, an important Welfare Plan, active since 2015 – we have been among the first to introduce it in Italy - and Benefits, which include all the initiatives undertaken for the well-being of our people.


    REMOTE WORKING

    Flexibility is an intrinsic value of the way we work. At Prometeia, smart working is an organizational method based on trust, which results in benefits in terms of work/life balance, impact on the environment and optimization of company results, through autonomy and empowerment of people.


    PEOPLE PROGRAM

    Our evaluation system is based on the full enhancement of people and their continuous dialogue as a stimulus for regular, mutual professional and personal growth. Transparent discussions between managers and team members are set up within the projects, where reciprocal and timely feedback is exchanged. The process is fully digitalized and aimed at continuously improving the development trajectory of the individual and the company.


    TRAINING

    Prometeia means ongoing training. We provide an average of 11 days of training per year to our people, in person and online. Particular attention is paid to younger colleagues, who are the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important, through immediate and direct confrontation with the market.


    WIN/WIN POLICY

    If you are one of our employees, and you recommend a person who is later recruited, you are entitled to a financial bonus! This is an important opportunity to contribute to the growth of Prometeia as a whole, by attracting acknowledged market professionals and new tech talents.


    PHYGITAL MANAGEMENT

    Through the dedicated app Pr(Home)teia, we have completely digitalized and integrated the management of our physical and virtual environments. Access to the office, smart working, workstations, meeting rooms, car pooling... everything is just a click away.


    COMMUNITY

    Our Community is extremely diverse, as are the skills of the people who are part of it and who share its values, and the individuals and organizations that are directly or indirectly involved in our activities. Clients, People of the Group, Alumni, Institutions, Academia, non-profit entities with which we actively collaborate, are stakeholders representing a great value for us, in terms of trust and collaboration.


    DIVERSITY

    We promote and respect equal opportunities and consider differences as a value. Diversity & Inclusion are fundamental values: from the selection phase to everyday life, also through dedicated training moments to develop individual sensitivities and unicities.


    IMPACT

    We responsibly take an active role towards the environment, the territories and the communities in which we operate. Our Headquarter in Bologna has obtained the Leed Gold Certification, one of the highest awards that recognizes the performance of the building in terms of energy and water savings, reduction of CO2 emissions, improvement of the ecological quality of the interior, materials and resources used. In the Sustainability Report we report the results achieved within the 17 Sustainable Development Goals (SDGs) of the 2030 Agenda that, drafted by the United Nations in 2016, we have been supporting since 2020.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-31,[] +3981360778,https://it.linkedin.com/jobs/view/data-scientist-stage-at-datrix-embrace-the-ai-challenge-3981360778?position=19&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=Hey%2BbJMOQyJ1QSEWRNfgCQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Stage,Datrix | Embrace the AI Challenge,"Milan, Lombardy, Italy","Aramix è un'azienda italiana innovativa specializzata nella progettazione e implementazione di soluzioni di Intelligenza Artificiale su misura. I nostri clienti appartengono a molteplici settori tra cui vendita al dettaglio, telecomunicazioni, alimenti e bevande, petrolio e gas, finanza, ecc. Li supportiamo con tecniche di analisi dei dati all'avanguardia per raggiungere i loro obiettivi di business. + +Aramix fa parte del gruppo Datrix, un Gruppo italiano composto da 5 tech companies specializzate nella progettazione e implementazione di soluzioni B2B di Intelligenza Artificiale sostenibili, per la crescita delle imprese. + +Il gruppo Datrix è anche partner tecnologico di oltre 20 università e centri di ricerca internazionali per importanti progetti di ricerca e sviluppo. L’ambiente di lavoro è dinamico, flessibile ma soprattutto giovane: da noi le tue idee, esperienze e volontà di trovare soluzioni creative ed innovative fanno realmente la differenza. + +Aramix è alla ricerca di un motivato ed entusiasta Data Scientist, con una laurea STEM, AI e/o ML. Il candidato scelto lavorerà con diverse tipologie di dati come serie temporali, immagini e testo e avrà l'opportunità di contribuire allo sviluppo di soluzioni innovative a problemi industriali reali in contesti chiave dell'Industria 4.0. con un focus di interesse per il mondo tech, digital ed AI. + +Le responsabilità della figura saranno: + + +Presentare, discutere, progettare e documentare il proprio lavoro; +Condurre analisi esplorative sui dati e presentare le evidenze emerse; +Contribuire allo sviluppo di soluzioni di AI; +Contribuire alla manutenzione ed aggiornamento di pipeline di continuous integration and deploy; +Partecipare a riunioni tecniche e operative. + + +Requisiti + +Le competenze essenziali per un inserimento ottimale in azienda sono: + + +Laurea magistrale in ambito scientifico, preferibilmente Matematica, Fisica e Informatica; +Buon background tecnico nelle tecniche di machine learning e analisi dei dati; +Buona conoscenza in ambito statistico e di machine-learning; +Capacità di sviluppare codice Python in maniera autonoma; +Buona conoscenza delle librerie Python per il machine learning e l’intelligenza artificiale (pandas, scikit-learn, pytorch, tensorflow, langchain, ecc…); +Familiarità con l’utilizzo di database; +Inglese fluente parlato e scritto. + + +Le competenze nice to have invece sono: + + +Conoscenza della pratica di analisi del rischio; +Conoscenza del linguaggio SQL (l'esperienza NoSQL è un vantaggio); +Esperienza su ambiente Cloud; +Conoscenza delle pratiche di sviluppo software; +Esperienza pregressa nell'utilizzo dei sistemi operativi Linux; +Dottorato di ricerca ed esperienza di ricerca. + + +Benefit + +Per la posizione in stage è previsto un rimborso pari a 700 € per i primi 6 mesi, da rivalutare in caso di rinnovo fino ai 12 mesi. + +E’ previsto il PC aziendale per un miglior svolgimento delle attività richieste ed è consentita una modalità di lavoro agile, ovvero l’azienda applica una “100% smart working policy”: sarai tu a scegliere quando lavorare presso i nostri uffici a Milano, compatibilmente alle esigenze formative, e quando a lavorare da casa. + + +Show more ","
    + + + + + +
    +
    + Aramix è un'azienda italiana innovativa specializzata nella progettazione e implementazione di soluzioni di Intelligenza Artificiale su misura. I nostri clienti appartengono a molteplici settori tra cui vendita al dettaglio, telecomunicazioni, alimenti e bevande, petrolio e gas, finanza, ecc. Li supportiamo con tecniche di analisi dei dati all'avanguardia per raggiungere i loro obiettivi di business.

    Aramix fa parte del gruppo Datrix, un Gruppo italiano composto da 5 tech companies specializzate nella progettazione e implementazione di soluzioni B2B di Intelligenza Artificiale sostenibili, per la crescita delle imprese.

    Il gruppo Datrix è anche partner tecnologico di oltre 20 università e centri di ricerca internazionali per importanti progetti di ricerca e sviluppo. L’ambiente di lavoro è dinamico, flessibile ma soprattutto giovane: da noi le tue idee, esperienze e volontà di trovare soluzioni creative ed innovative fanno realmente la differenza.

    Aramix è alla ricerca di un motivato ed entusiasta Data Scientist, con una laurea STEM, AI e/o ML. Il candidato scelto lavorerà con diverse tipologie di dati come serie temporali, immagini e testo e avrà l'opportunità di contribuire allo sviluppo di soluzioni innovative a problemi industriali reali in contesti chiave dell'Industria 4.0. con un focus di interesse per il mondo tech, digital ed AI.

    Le responsabilità della figura saranno:

    • Presentare, discutere, progettare e documentare il proprio lavoro;
    • Condurre analisi esplorative sui dati e presentare le evidenze emerse;
    • Contribuire allo sviluppo di soluzioni di AI;
    • Contribuire alla manutenzione ed aggiornamento di pipeline di continuous integration and deploy;
    • Partecipare a riunioni tecniche e operative.

    Requisiti

    Le competenze essenziali per un inserimento ottimale in azienda sono:

    • Laurea magistrale in ambito scientifico, preferibilmente Matematica, Fisica e Informatica;
    • Buon background tecnico nelle tecniche di machine learning e analisi dei dati;
    • Buona conoscenza in ambito statistico e di machine-learning;
    • Capacità di sviluppare codice Python in maniera autonoma;
    • Buona conoscenza delle librerie Python per il machine learning e l’intelligenza artificiale (pandas, scikit-learn, pytorch, tensorflow, langchain, ecc…);
    • Familiarità con l’utilizzo di database;
    • Inglese fluente parlato e scritto.

    Le competenze nice to have invece sono:

    • Conoscenza della pratica di analisi del rischio;
    • Conoscenza del linguaggio SQL (l'esperienza NoSQL è un vantaggio);
    • Esperienza su ambiente Cloud;
    • Conoscenza delle pratiche di sviluppo software;
    • Esperienza pregressa nell'utilizzo dei sistemi operativi Linux;
    • Dottorato di ricerca ed esperienza di ricerca.

    Benefit

    Per la posizione in stage è previsto un rimborso pari a 700 € per i primi 6 mesi, da rivalutare in caso di rinnovo fino ai 12 mesi.

    E’ previsto il PC aziendale per un miglior svolgimento delle attività richieste ed è consentita una modalità di lavoro agile, ovvero l’azienda applica una “100% smart working policy”: sarai tu a scegliere quando lavorare presso i nostri uffici a Milano, compatibilmente alle esigenze formative, e quando a lavorare da casa.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-23,[] +3930440282,https://it.linkedin.com/jobs/view/data-scientist-international-analytics-team-at-prima-3930440282?position=20&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=p3NsBCWGfiY1aAf%2BAIs9NQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - International Analytics Team,Prima,"Milan, Lombardy, Italy","Got the drive to shape the future of insurance? + +At Prima, you could take on a whole new challenge. As part of our global community, you’d be in the driving seat of your career; learning and growing with a top-tier team around you. Prima is a place where no matter who you are or what your role is — your voice is valued. + +Back in 2015, we embarked on a mission: to provide great value car insurance that is designed for everyone. And we’ve come a long way, we’ve created a culture where we can fuel each other’s success. But we need your expertise, as we steer things in a new and exciting direction. + +You’re probably thinking… “That sounds pretty good”. We agree. + +Meet the orchestrators of our global symphony. This team doesn't just manage complexity; they turn it into an efficient, proactive system. Empowering every country to swiftly spot improvement opportunities, they play a vital role in crafting and executing the Pricing and Underwriting strategy. Step into the heartbeat of our global enterprise! + +As well as great colleagues and engaging projects, there are loads of ways we can help you do the best work of your life. We’ve shaped our offering to place a focus on wellbeing, autonomy and development. We see benefits as the fuel that will empower you to succeed, if you decide to embark on this journey with us. + +🤸🏽‍♂️ Working in a way that works for you + +We believe in work-life balance and flexibility. Whether you like working from the office, home or a mixture of both. We’ll help you find a balance that works best for you. We even have a policy that means you can work from any location for 30 days a year. We trust you to steer us forward. + +🏁 The freedom to explore the possibilities + +We may move fast at Prima, but we move together. We’re invested in your growth; so we’ll give you access to a teaching and learning marketplace. And you’ll have regular sessions with your manager to establish a personal growth plan. + +🌈 Our winning formula: happy and high-performing + +From private medical insurance to discounted gym memberships and wellbeing initiatives: we’re here to support you. We know how important your health and well-being is, so we’ll go the extra mile to help you when we can. + +If it sounds like we’ve got something that’s up your street, let’s see if you’ve got the skills we’re looking for! + +As Data Scientist , some of your activities will be: + + +Design, build and evolve Prima’s proprietary predictive technology, in topics such as the prediction of future claims, renewal probability, customer lifetime value…; +Develop a strong critical spirit and creativity that can act as an engine for Prima's growth; +Learn avidly with the support of experienced colleagues and grow quickly, assuming more responsibilities within the team. + + +Are you the ideal candidate for this exciting role? Here's what we're looking for: + + +Impressive academic achievements in Mathematics, Computer science, Physics, Statistics, Mathematical Engineering, Physical Engineering or Aerospace Engineering; +You have a solid foundation in programming and implementation of algorithms; +Strong Python programming skills and fluent use of GIT; +Excellent English and Italian level, oral & written; +You have a sincere and life-guiding cooperative mindset. + + +In addition to the basic requirements, we will carefully evaluate these characteristics as a plus : + + +You have previous work experience in similar roles, including consulting experience and /or programming experience at the corporate level within production frameworks and standards; +Knowledge of Spark, SQL or any other data-oriented programming language and proficiency with standard data wrangling and modelling libraries (Pandas, Sklearn. Keras, XGBboost, LightGBM, etc.); +Experience/fluency with MIP optimization tools (CPLEX, Guroby, etc.). + + +Research shows that some people are less likely to apply to jobs unless they meet every single criteria. At Prima we are committed to building diverse teams so please apply even if your past experience doesn’t align perfectly with the requirements. You might still be a great fit! + +Prima is a community made up of talented and ambitious individuals. We offer equal employment opportunities and are oriented towards diversity and inclusion in the workplace. We prohibit discrimination of any kind based on race, colour, gender, religion, sexual orientation, nationality, disability, genetic information, pregnancy or other protected personal characteristics, as defined by national laws. + +If it sounds like we’d be a good fit for each other, apply and join us in the fast lane. +Show more ","
    + + + + + +
    +
    + Got the drive to shape the future of insurance?

    At Prima, you could take on a whole new challenge. As part of our global community, you’d be in the driving seat of your career; learning and growing with a top-tier team around you. Prima is a place where no matter who you are or what your role is — your voice is valued.

    Back in 2015, we embarked on a mission: to provide great value car insurance that is designed for everyone. And we’ve come a long way, we’ve created a culture where we can fuel each other’s success. But we need your expertise, as we steer things in a new and exciting direction.

    You’re probably thinking… “That sounds pretty good”. We agree.

    Meet the orchestrators of our global symphony. This team doesn't just manage complexity; they turn it into an efficient, proactive system. Empowering every country to swiftly spot improvement opportunities, they play a vital role in crafting and executing the Pricing and Underwriting strategy. Step into the heartbeat of our global enterprise!

    As well as great colleagues and engaging projects, there are loads of ways we can help you do the best work of your life. We’ve shaped our offering to place a focus on wellbeing, autonomy and development. We see benefits as the fuel that will empower you to succeed, if you decide to embark on this journey with us.

    🤸🏽‍♂️ Working in a way that works for you

    We believe in work-life balance and flexibility. Whether you like working from the office, home or a mixture of both. We’ll help you find a balance that works best for you. We even have a policy that means you can work from any location for 30 days a year. We trust you to steer us forward.

    🏁 The freedom to explore the possibilities

    We may move fast at Prima, but we move together. We’re invested in your growth; so we’ll give you access to a teaching and learning marketplace. And you’ll have regular sessions with your manager to establish a personal growth plan.

    🌈 Our winning formula: happy and high-performing

    From private medical insurance to discounted gym memberships and wellbeing initiatives: we’re here to support you. We know how important your health and well-being is, so we’ll go the extra mile to help you when we can.

    If it sounds like we’ve got something that’s up your street, let’s see if you’ve got the skills we’re looking for!

    As Data Scientist , some of your activities will be:

    • Design, build and evolve Prima’s proprietary predictive technology, in topics such as the prediction of future claims, renewal probability, customer lifetime value…;
    • Develop a strong critical spirit and creativity that can act as an engine for Prima's growth;
    • Learn avidly with the support of experienced colleagues and grow quickly, assuming more responsibilities within the team.

    Are you the ideal candidate for this exciting role? Here's what we're looking for:

    • Impressive academic achievements in Mathematics, Computer science, Physics, Statistics, Mathematical Engineering, Physical Engineering or Aerospace Engineering;
    • You have a solid foundation in programming and implementation of algorithms;
    • Strong Python programming skills and fluent use of GIT;
    • Excellent English and Italian level, oral & written;
    • You have a sincere and life-guiding cooperative mindset.

    In addition to the basic requirements, we will carefully evaluate these characteristics as a plus :

    • You have previous work experience in similar roles, including consulting experience and /or programming experience at the corporate level within production frameworks and standards;
    • Knowledge of Spark, SQL or any other data-oriented programming language and proficiency with standard data wrangling and modelling libraries (Pandas, Sklearn. Keras, XGBboost, LightGBM, etc.);
    • Experience/fluency with MIP optimization tools (CPLEX, Guroby, etc.).

    Research shows that some people are less likely to apply to jobs unless they meet every single criteria. At Prima we are committed to building diverse teams so please apply even if your past experience doesn’t align perfectly with the requirements. You might still be a great fit!

    Prima is a community made up of talented and ambitious individuals. We offer equal employment opportunities and are oriented towards diversity and inclusion in the workplace. We prohibit discrimination of any kind based on race, colour, gender, religion, sexual orientation, nationality, disability, genetic information, pregnancy or other protected personal characteristics, as defined by national laws.

    If it sounds like we’d be a good fit for each other, apply and join us in the fast lane. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +4001488579,https://it.linkedin.com/jobs/view/data-scientist-at-response-informatics-4001488579?position=21&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=W8dJGc2jFizamsRWS4F0OA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Response Informatics,Greater Milan Metropolitan Area,"Responsible for identifying synergies between infrastructure technology and development of software and analytics capabilities to model and manage Sky’s network and to produce automation tooling to aid strategic planning and operational readiness. + + + + +Network Technology: + +Strong analytical skills and a consultative, proactive and join-the-dots approach. + +Explore, evaluate and capitalise on risks and opportunities related to Internet Service Provider infrastructure technologies + + + + +Network Modelling: + +Knowledge of web frameworks and APIs, Cloud environments (Google Cloud and/or Amazon AWS), DevOps (Docker/Kubernetes, CI/CD) and Agile principles + +Translate into code (software models) infrastructure designs and capacity management process leveraging your expertise in networks and your understanding of business challenges + +Knowledge of data analytics, modelling and statistical analysis + +Develop software-based network traffic forecasts, capacity and cost models + +Software Development: + +Develop automation scripts to enable systems integration and process improvement + +Develop software systems and tools using industry standard frameworks to achieve network analytics and modelling objectives. + +Network Analytics: + +Develop and support the ingestion, processing and analysis of data (pipelines) for modelling, reporting, visualisation and business intelligence purposes + +Carry on analysis answering key business questions by applying an analytical mind-set. Quickly and efficiently process information from multiple sources. + + + + +Solid understanding of telecommunication networks. Telecommunications industry experience (or similar, e.g. academia). Strong programming skills (ideally in Python). SQL knowledge. + +2 + +Desirable + +Actively participate in the development of engineering roadmaps bringing together network technology evolution, network economics, network performance, and business and customer KPIs. + +A PhD/MSc in networks, computer science or similar. + +Show more ","
    + + + + + +
    +
    +

    Responsible for identifying synergies between infrastructure technology and development of software and analytics capabilities to model and manage Sky’s network and to produce automation tooling to aid strategic planning and operational readiness.


    Network Technology:

    Strong analytical skills and a consultative, proactive and join-the-dots approach.

    Explore, evaluate and capitalise on risks and opportunities related to Internet Service Provider infrastructure technologies


    Network Modelling:

    Knowledge of web frameworks and APIs, Cloud environments (Google Cloud and/or Amazon AWS), DevOps (Docker/Kubernetes, CI/CD) and Agile principles

    Translate into code (software models) infrastructure designs and capacity management process leveraging your expertise in networks and your understanding of business challenges

    Knowledge of data analytics, modelling and statistical analysis

    Develop software-based network traffic forecasts, capacity and cost models

    Software Development:

    Develop automation scripts to enable systems integration and process improvement

    Develop software systems and tools using industry standard frameworks to achieve network analytics and modelling objectives.

    Network Analytics:

    Develop and support the ingestion, processing and analysis of data (pipelines) for modelling, reporting, visualisation and business intelligence purposes

    Carry on analysis answering key business questions by applying an analytical mind-set. Quickly and efficiently process information from multiple sources.


    Solid understanding of telecommunication networks. Telecommunications industry experience (or similar, e.g. academia). Strong programming skills (ideally in Python). SQL knowledge.

    2

    Desirable

    Actively participate in the development of engineering roadmaps bringing together network technology evolution, network economics, network performance, and business and customer KPIs.

    A PhD/MSc in networks, computer science or similar.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +3998580832,https://it.linkedin.com/jobs/view/software-engineer-frontend-at-sky-italia-3998580832?position=24&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=H94xQNLyBKUQeYgSgmLw2g%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer - Frontend,Sky Italia,"Milan, Lombardy, Italy","Within the Customer Digital Channels Software Centre, Sky Italia, the first Italian media company and the European leader in entertainment, is seeking for a Frontend Software Engineer who can translate passion for great software into concrete value for our customers. + +We believe that day by day improvements, delivering the best customer experience, proactively solving customer problems is made possible by great people. + +As a member of a Sky Software Centre, the candidate will work in a complex, challenging and exciting enterprise level environment with a strong commitment towards results and collaboration. + +The Frontend Software Engineer will be responsible of developing, enhancing and maintaining Digital Products in order to fulfill all the business needs with the continuous support of our Software Engineers. + + + + +Key Responsibilities: + +Contribute to the architectural definition and its implementation, understanding requirements and issues to be solved, translating these into software solutions. +Develop, enhance and maintain software programs that compose the Digital Product landscape of Sky Italia. +Work within a team to continuously improve the software quality, following the best practices of SDLC. +Interact with the business stakeholders to understand the business needs and translate them in technical stories. +Help the innovation process, by exploring and evaluating new solutions though fast prototyping and proof of concepts that show the values of innovation. + + + + +Core competencies and qualifications: + +Good problem-solving skill, creative and proactive. +Good software engineering skills and experience with one of the following programming languages: Javascript, Typescript. +Experience with Angular and/or React. +Experience in unit and integration tests frameworks (Jest, Cypress). +Experience in developing real world, scalable and performant Single Page Applications. +Good awareness of best modern practices on software development lifecycle (git, code review, CI/CD, pipeline). + + + + +Bonus points: + +Ability to adapt to changing contexts (e.g. new programming languages). +Experience with SEO & performance friendly templates. +Experience with Storybook and Design System. +Good knowledge of Agile methodologies. + + + + +Soft Skills: + +Good relationship building, teamwork and collaboration skills. +Committed to develop a ""can-do"" culture. +Able to work in a fast-paced environment. +Good communication skills, both written and verbal (Italian and English). +Show more ","
    + + + + + +
    +
    +

    Within the Customer Digital Channels Software Centre, Sky Italia, the first Italian media company and the European leader in entertainment, is seeking for a Frontend Software Engineer who can translate passion for great software into concrete value for our customers.

    We believe that day by day improvements, delivering the best customer experience, proactively solving customer problems is made possible by great people.

    As a member of a Sky Software Centre, the candidate will work in a complex, challenging and exciting enterprise level environment with a strong commitment towards results and collaboration.

    The Frontend Software Engineer will be responsible of developing, enhancing and maintaining Digital Products in order to fulfill all the business needs with the continuous support of our Software Engineers.


    Key Responsibilities:

    • Contribute to the architectural definition and its implementation, understanding requirements and issues to be solved, translating these into software solutions.
    • Develop, enhance and maintain software programs that compose the Digital Product landscape of Sky Italia.
    • Work within a team to continuously improve the software quality, following the best practices of SDLC.
    • Interact with the business stakeholders to understand the business needs and translate them in technical stories.
    • Help the innovation process, by exploring and evaluating new solutions though fast prototyping and proof of concepts that show the values of innovation.


    Core competencies and qualifications:

    • Good problem-solving skill, creative and proactive.
    • Good software engineering skills and experience with one of the following programming languages: Javascript, Typescript.
    • Experience with Angular and/or React.
    • Experience in unit and integration tests frameworks (Jest, Cypress).
    • Experience in developing real world, scalable and performant Single Page Applications.
    • Good awareness of best modern practices on software development lifecycle (git, code review, CI/CD, pipeline).


    Bonus points:

    • Ability to adapt to changing contexts (e.g. new programming languages).
    • Experience with SEO & performance friendly templates.
    • Experience with Storybook and Design System.
    • Good knowledge of Agile methodologies.


    Soft Skills:

    • Good relationship building, teamwork and collaboration skills.
    • Committed to develop a ""can-do"" culture.
    • Able to work in a fast-paced environment.
    • Good communication skills, both written and verbal (Italian and English).
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-13,[] +3983702692,https://it.linkedin.com/jobs/view/data-scientist-at-hrm-group-3983702692?position=25&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=sldBGO1okSkwG4DMWxn86w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,HRM Group,"Milan, Lombardy, Italy","Il Data Scientist in HRM + +si occuperà di attività di data engineering, data exploration e data preparation, oltre allo sviluppo di modelli di Machine Learning. Il ruolo prevede il deployment e il monitoring delle soluzioni, personalizzate secondo le esigenze specifiche. Sarà, inoltre, coinvolto nella realizzazione di modelli predittivi, e nella creazione di use cases di GenAI con LLM. Un altro compito fondamentale sarà lo sviluppo di API e script per rendere operativi i modelli in maniera continuativa. + +🌟Sei tu? + +Il nostro collega ideale, con almeno 5 anni di esperienza pregressa in ruolo analogo, dovrà possedere le seguenti caratteristiche: + + +Laurea magistrale in materie STEM +Conoscenza di Python +Conoscenza di SQL e delle principali tecniche di Machine Learning / Data Mining +Buona conoscenza della lingua inglese (livello B2) + + +Nice to have: + + +Preferibile esperienza su attività di sviluppo di modelli predittivi e/o utilizzo di LLM +Conoscenza dei moduli Python standard in ambito analytics (scikit-learn, pandas, numpy, ecc) +Conoscenza Reti Neurali e framework per loro implementazione +Conoscenza di framework BigData (Hadoop / Kafka / Spark / ecc) +Esperienza con tools di MLOps +Esperienza con strumenti di Business Intelligence (PowerBI, Board, ecc) +Conoscenza di unix, networking, docker, cloud + + +Competenze e capacità apprezzate: + + +Mentalità analitica +Capacità di problem solving +Propensione al lavoro in team + + +🌟Cosa offriamo? + + +🌐 Remote Working: Lavorare da casa con flessibilità e comfort. +🔄 Diversità dei Progetti: Opportunità di lavorare su progetti brevi, mantenendo sempre fresche e stimolanti le tue attività lavorative. +🏢 Welfare Contrattuale: Un budget di benefici contrattuali su misura. +🍽️ Buoni Pasto: Pasti garantiti ogni giorno di lavoro con i ticket elettronici. +💉 Fondo Sanitario Contrattuale: Protezione sanitaria completa per te e i tuoi famigliari a carico. +👥 Referral Program: Un programma di segnalazione senza limiti e per ogni nuovo collega che ci presenterai riceverai un premio. +📚 Training Personalizzato: Formazione su misura in base alle esigenze specifiche dei progetti su cui lavorerai. +🌴 Ferie e Permessi: 30 giorni complessivi tra ferie e permessi per goderti il tuo tempo libero. +💳 Convenzioni Esclusive: Sconti esclusivi per una vasta gamma di servizi, prodotti, viaggi, abbigliamento e tecnologia. + + +🌟Sei ancora interessato? + +Il nostro processo di selezione è rapido e coinvolgente, composto da: + + +Colloquio conoscitivo HR 🤝 +Un’opportunità per conoscerci meglio e scoprire più su di te. +Colloquio Tecnico 💻 +Un incontro con i responsabili di progetto per esplorare le tue competenze e i tuoi interessi. + +Se possiedi le caratteristiche giuste, il nostro responsabile HR sarà lieto di darti il benvenuto presentandoti la nostra offerta di collaborazione. + +🔍Vuoi saperne di più? + +Inviaci il tuo CV aggiornato e dettagliato con autorizzazione al trattamento dei dati personali ai sensi della Legge 196/03 e art.13 GDPR 679/13. 📄 + +Al resto ci pensiamo noi! 🚀 +Show more ","
    + + + + + +
    +
    + Il Data Scientist in HRM

    si occuperà di attività di data engineering, data exploration e data preparation, oltre allo sviluppo di modelli di Machine Learning. Il ruolo prevede il deployment e il monitoring delle soluzioni, personalizzate secondo le esigenze specifiche. Sarà, inoltre, coinvolto nella realizzazione di modelli predittivi, e nella creazione di use cases di GenAI con LLM. Un altro compito fondamentale sarà lo sviluppo di API e script per rendere operativi i modelli in maniera continuativa.

    🌟Sei tu?

    Il nostro collega ideale, con almeno 5 anni di esperienza pregressa in ruolo analogo, dovrà possedere le seguenti caratteristiche:

    • Laurea magistrale in materie STEM
    • Conoscenza di Python
    • Conoscenza di SQL e delle principali tecniche di Machine Learning / Data Mining
    • Buona conoscenza della lingua inglese (livello B2)

    Nice to have:

    • Preferibile esperienza su attività di sviluppo di modelli predittivi e/o utilizzo di LLM
    • Conoscenza dei moduli Python standard in ambito analytics (scikit-learn, pandas, numpy, ecc)
    • Conoscenza Reti Neurali e framework per loro implementazione
    • Conoscenza di framework BigData (Hadoop / Kafka / Spark / ecc)
    • Esperienza con tools di MLOps
    • Esperienza con strumenti di Business Intelligence (PowerBI, Board, ecc)
    • Conoscenza di unix, networking, docker, cloud

    Competenze e capacità apprezzate:

    • Mentalità analitica
    • Capacità di problem solving
    • Propensione al lavoro in team

    🌟Cosa offriamo?

    • 🌐 Remote Working: Lavorare da casa con flessibilità e comfort.
    • 🔄 Diversità dei Progetti: Opportunità di lavorare su progetti brevi, mantenendo sempre fresche e stimolanti le tue attività lavorative.
    • 🏢 Welfare Contrattuale: Un budget di benefici contrattuali su misura.
    • 🍽️ Buoni Pasto: Pasti garantiti ogni giorno di lavoro con i ticket elettronici.
    • 💉 Fondo Sanitario Contrattuale: Protezione sanitaria completa per te e i tuoi famigliari a carico.
    • 👥 Referral Program: Un programma di segnalazione senza limiti e per ogni nuovo collega che ci presenterai riceverai un premio.
    • 📚 Training Personalizzato: Formazione su misura in base alle esigenze specifiche dei progetti su cui lavorerai.
    • 🌴 Ferie e Permessi: 30 giorni complessivi tra ferie e permessi per goderti il tuo tempo libero.
    • 💳 Convenzioni Esclusive: Sconti esclusivi per una vasta gamma di servizi, prodotti, viaggi, abbigliamento e tecnologia.

    🌟Sei ancora interessato?

    Il nostro processo di selezione è rapido e coinvolgente, composto da:

    • Colloquio conoscitivo HR 🤝
      • Un’opportunità per conoscerci meglio e scoprire più su di te.
    • Colloquio Tecnico 💻
      • Un incontro con i responsabili di progetto per esplorare le tue competenze e i tuoi interessi.
    Se possiedi le caratteristiche giuste, il nostro responsabile HR sarà lieto di darti il benvenuto presentandoti la nostra offerta di collaborazione.

    🔍Vuoi saperne di più?

    Inviaci il tuo CV aggiornato e dettagliato con autorizzazione al trattamento dei dati personali ai sensi della Legge 196/03 e art.13 GDPR 679/13. 📄

    Al resto ci pensiamo noi! 🚀 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-24,[] +3991665563,https://it.linkedin.com/jobs/view/machine-learning-engineer-at-huware-3991665563?position=26&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=DpkhchidBhHm9b1bRLxi1Q%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Huware,"Milan, Lombardy, Italy","Chi siamo? + +Huware è una cloud consulting company da 20 anni in prima linea nella trasformazione digitale + +delle aziende. I suoi progetti si basano sulle migliori tecnologie, è premier partner di Google Cloud, + +Google Workspace, Salesforce, LumApps, AODocs e monday.com. Grazie alla sua esperienza in + +ambito cloud, data, digital transformation e artificial intelligence accompagna le aziende in + +un’evoluzione che mette persone e sostenibilità al centro. + + + + +Le caratteristiche di uno Huro: + +Ci chiamiamo Huroes perché, come ogni eroe che si rispetti, abbiamo una mission: aiutare persone, team e aziende a trasformare le sfide tecnologiche in opportunità. + +Trasparenza, inclusione, responsabilità, curiosità, collaborazione, coerenza e solidarietà sono i nostri valori, che applichiamo in azienda e con clienti e partner. + +Infine, sostenibilità: ogni Huro è attivamente coinvolto nei progetti di Corporate Social Responsibility di Huware, che ci caratterizzano e definiscono in quanto Società Benefit. + + + + +Chi cerchiamo? + +Per la nostra Unit Data, non vediamo l’ora di conoscere nuovi profili con esperienza che andranno a ricoprire il ruolo di: + +Machine Learning Engineer + + + + +La figura ricercata andrà a rafforzare l’attuale team dedicato a progetti di intelligenza artificiale per la progettazione e creazione di modelli di apprendimento automatico. Questo ruolo implica la valutazione e l'organizzazione dei dati, l'esecuzione di test ed esperimenti e, in generale, il monitoraggio e l'ottimizzazione dei processi di apprendimento automatico per aiutare a sviluppare sistemi ad alte prestazioni, tramite gli strumenti messi a disposizione della Google Cloud Platform per clienti in Italia e all'estero. + + + + +Di cosa ti occuperai: + +Progettare, costruire e ottimizzare modelli di ML usando le tecnologie Google Cloud e la conoscenza di modelli e tecniche solide e collaudate; +Manipolare dataset complessi di big data; +Implementare algoritmi AI o ML; +Collaborare con gli AI Consultant per assicurare il successo dei progetti che adottano modelli Google completi di AI, orientando l’eventuale sviluppo o adozione di modelli di ML differenti; +Eseguire analisi statistiche e utilizzo dei risultati per migliorare i modelli; +Supportare il team di Data Engineering laddove richiesto per esigenze progettuali compatibili con le competenze del Machine Learning Engineer; +Lavorare a stretto contatto con gli stakeholders inclusi Executive, Product, Data e Design teams per fornire assistenza su temi legati ai dati per risolvere problematiche tecniche e disegnare soluzioni infrastrutturali necessarie. + + + + +A quali competenze aspiriamo: + +Capacità di adottare i modelli del Modern Garden di Google personalizzandoli secondo le esigenze di progetto con i dati a disposizione ed eseguire il deployment nelle applicazioni con operazioni ML end-to-end integrate; +Esperienza nella raccolta e modellazione dei dati; +Sono apprezzate competenze di Data Engineering quali: conoscenze di big data tools (Spark, Kafka, etc.), piattaforme di Google Cloud Platform, Airflow e Python; +Conoscenza di SQL ed esperienza su database relazionali, gestione dei permessi di accesso ai dati maturate in precedenti esperienze lavorative; +Esperienza nella creazione e ottimizzazione di ‘big data’ data pipelines, architetture e datasets; +Esperienza nella gestione di root cause analysis sui processi riguardanti i dati per correggere o migliorare le pipelines esistenti; +Conoscenza di message queuing, stream processing, highly scalable ‘big data’ data stores; +Ottima conoscenza della lingua inglese sia scritta che parlata; +Buone capacità di project management; +Costituisce titolo preferenziale essere in possesso della certificazione Google Professional Machine Learning Engineer. + + + + +Cosa offriamo ai nostri Huroes: + +Strumentazioni aziendali per il lavoro quotidiano; +Hybrid work (Smart working ma non solo!); +Learning & Development: percorsi di apprendimento per migliorare le proprie competenze; +Sede lavorativa nel quartiere Isola a Milano +Un casale nelle Marche in cui lavorare, riunirsi e invitare familiari e amici +Give Back: Progetti di sostenibilità ambientale e sociale +Team giovane e affiatato +Rimborso spese KM e prenotazione macchina aziendale per eventuali trasferte; +Contratto a tempo indeterminato e definizione di RAL e MBO. + + + + +Scopri la nostra filosofia e l’attitudine da huroes sull’account Instagram di Huware e se sei interessato candidati alla nostra o + +fferta!Huware è orgoglioso di essere un luogo di lavoro per le pari opportunità. Ci impegniamo a garantire pari opportunità di lavoro indipendentemente da sesso, religione, etnia, colore, orientamento sessuale, età, cittadinanza, stato civile, disabilità, identità di + + + + +genere. + +Show more ","
    + + + + + +
    +
    +

    Chi siamo?

    Huware è una cloud consulting company da 20 anni in prima linea nella trasformazione digitale

    delle aziende. I suoi progetti si basano sulle migliori tecnologie, è premier partner di Google Cloud,

    Google Workspace, Salesforce, LumApps, AODocs e monday.com. Grazie alla sua esperienza in

    ambito cloud, data, digital transformation e artificial intelligence accompagna le aziende in

    un’evoluzione che mette persone e sostenibilità al centro.


    Le caratteristiche di uno Huro:

    Ci chiamiamo Huroes perché, come ogni eroe che si rispetti, abbiamo una mission: aiutare persone, team e aziende a trasformare le sfide tecnologiche in opportunità.

    Trasparenza, inclusione, responsabilità, curiosità, collaborazione, coerenza e solidarietà sono i nostri valori, che applichiamo in azienda e con clienti e partner.

    Infine, sostenibilità: ogni Huro è attivamente coinvolto nei progetti di Corporate Social Responsibility di Huware, che ci caratterizzano e definiscono in quanto Società Benefit.


    Chi cerchiamo?

    Per la nostra Unit Data, non vediamo l’ora di conoscere nuovi profili con esperienza che andranno a ricoprire il ruolo di:

    Machine Learning Engineer


    La figura ricercata andrà a rafforzare l’attuale team dedicato a progetti di intelligenza artificiale per la progettazione e creazione di modelli di apprendimento automatico. Questo ruolo implica la valutazione e l'organizzazione dei dati, l'esecuzione di test ed esperimenti e, in generale, il monitoraggio e l'ottimizzazione dei processi di apprendimento automatico per aiutare a sviluppare sistemi ad alte prestazioni, tramite gli strumenti messi a disposizione della Google Cloud Platform per clienti in Italia e all'estero.


    Di cosa ti occuperai:

    • Progettare, costruire e ottimizzare modelli di ML usando le tecnologie Google Cloud e la conoscenza di modelli e tecniche solide e collaudate;
    • Manipolare dataset complessi di big data;
    • Implementare algoritmi AI o ML;
    • Collaborare con gli AI Consultant per assicurare il successo dei progetti che adottano modelli Google completi di AI, orientando l’eventuale sviluppo o adozione di modelli di ML differenti;
    • Eseguire analisi statistiche e utilizzo dei risultati per migliorare i modelli;
    • Supportare il team di Data Engineering laddove richiesto per esigenze progettuali compatibili con le competenze del Machine Learning Engineer;
    • Lavorare a stretto contatto con gli stakeholders inclusi Executive, Product, Data e Design teams per fornire assistenza su temi legati ai dati per risolvere problematiche tecniche e disegnare soluzioni infrastrutturali necessarie.


    A quali competenze aspiriamo:

    • Capacità di adottare i modelli del Modern Garden di Google personalizzandoli secondo le esigenze di progetto con i dati a disposizione ed eseguire il deployment nelle applicazioni con operazioni ML end-to-end integrate;
    • Esperienza nella raccolta e modellazione dei dati;
    • Sono apprezzate competenze di Data Engineering quali: conoscenze di big data tools (Spark, Kafka, etc.), piattaforme di Google Cloud Platform, Airflow e Python;
    • Conoscenza di SQL ed esperienza su database relazionali, gestione dei permessi di accesso ai dati maturate in precedenti esperienze lavorative;
    • Esperienza nella creazione e ottimizzazione di ‘big data’ data pipelines, architetture e datasets;
    • Esperienza nella gestione di root cause analysis sui processi riguardanti i dati per correggere o migliorare le pipelines esistenti;
    • Conoscenza di message queuing, stream processing, highly scalable ‘big data’ data stores;
    • Ottima conoscenza della lingua inglese sia scritta che parlata;
    • Buone capacità di project management;
    • Costituisce titolo preferenziale essere in possesso della certificazione Google Professional Machine Learning Engineer.


    Cosa offriamo ai nostri Huroes:

    • Strumentazioni aziendali per il lavoro quotidiano;
    • Hybrid work (Smart working ma non solo!);
    • Learning & Development: percorsi di apprendimento per migliorare le proprie competenze;
    • Sede lavorativa nel quartiere Isola a Milano
    • Un casale nelle Marche in cui lavorare, riunirsi e invitare familiari e amici
    • Give Back: Progetti di sostenibilità ambientale e sociale
    • Team giovane e affiatato
    • Rimborso spese KM e prenotazione macchina aziendale per eventuali trasferte;
    • Contratto a tempo indeterminato e definizione di RAL e MBO.


    Scopri la nostra filosofia e l’attitudine da huroes sull’account Instagram di Huware e se sei interessato candidati alla nostra o

    fferta!Huware è orgoglioso di essere un luogo di lavoro per le pari opportunità. Ci impegniamo a garantire pari opportunità di lavoro indipendentemente da sesso, religione, etnia, colore, orientamento sessuale, età, cittadinanza, stato civile, disabilità, identità di


    genere.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +3825896733,https://it.linkedin.com/jobs/view/customer-data-scientist-at-pwc-italy-3825896733?position=27&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=zxrR1dtjvlUmttgFoRjtEw%3D%3D&trk=public_jobs_jserp-result_search-card,Customer Data Scientist,PwC Italy,"Milan, Lombardy, Italy","Vuoi essere al centro di prospettive di crescita uniche? Entra nella practice Customer Transformation di PwC e diventa: + +Customer Data Scientist + +Your Perspectives + +Ti unirai al gruppo di Customer Transformation di PwC su sfidanti progetti di Customer Advance Analytics e Data Science in ambito Consumer Markets, Financial Services, Energy&Utilities e Telco&Media, per supportare le organizzazioni nel valorizzare il patrimonio informativo sui propri Clienti e Consumatori finali, utilizzando i dati a disposizione per sviluppare soluzioni innovative basate su Machine Learning. + +Grazie all’accesso alle vaste competenze del nostro network internazionale, potrai dare spazio alle tue idee e fornire il contributo innovativo che hai sempre desiderato. + +Sarai Coinvolto Con Crescenti Responsabilità Nelle Seguenti Attività + + +Disegno, sviluppo, test e misurazione delle performance di modelli di Machine Learning e di modelli statistici in ambito Marketing: segmentazioni, Customer scoring, modelli di classificazione, modelli predittivi, modelli di propensione/raccomandazione; +Analisi dati avanzate sul comportamento dei Clienti sia su canale fisico che digitale attraverso esplorazione di dati strutturati e destrutturati, al fine di derivare insight di business; +Sviluppo di analisi quantitative e modelli di Machine Learning a supporto di progettualità di data-driven Strategy & Decision Making; +Attività di targeting evoluto e valutazione quantitativo-statistica delle campagne di Marketing; +Raccolta dei requisiti progettuali a diretto contatto con il cliente per il disegno e l’elaborazione di soluzioni data-driven; + + +Your unique strengths + + +Stai concludendo o hai concluso il percorso di studi o possiedi una laurea magistrale preferibilmente ad indirizzo scientifico (es. Data Science, Informatica, Statistica, Matematica, Fisica); +Hai un’ottima conoscenza di almeno uno tra i linguaggi Python ed R; +Possiedi una buona conoscenza dei database relazionali e del linguaggio SQL; +Hai forti competenze analitiche e ti interessa usare i dati per trovare soluzioni funzionali, creative ed innovative a problemi complessi; +Parli e scrivi in inglese fluentemente; +Ti interessa lavorare in team e crescere in un ambiente di lavoro stimolante e positivo; +Sei flessibile e hai forte motivazione ad intraprendere una carriera professionale in consulenza; + + +Saranno considerate un plus, le conoscenze, anche a livello base di: + + +Framework Spark e piattaforme Cloud come Amazon Web Services, Azure e Google Cloud Platform; +Artificial Intelligence in ambito Speech Analytics, Natural Language Processing o Computer Vision; +Show more ","
    + + + + + +
    +
    + Vuoi essere al centro di prospettive di crescita uniche? Entra nella practice Customer Transformation di PwC e diventa:

    Customer Data Scientist

    Your Perspectives

    Ti unirai al gruppo di Customer Transformation di PwC su sfidanti progetti di Customer Advance Analytics e Data Science in ambito Consumer Markets, Financial Services, Energy&Utilities e Telco&Media, per supportare le organizzazioni nel valorizzare il patrimonio informativo sui propri Clienti e Consumatori finali, utilizzando i dati a disposizione per sviluppare soluzioni innovative basate su Machine Learning.

    Grazie all’accesso alle vaste competenze del nostro network internazionale, potrai dare spazio alle tue idee e fornire il contributo innovativo che hai sempre desiderato.

    Sarai Coinvolto Con Crescenti Responsabilità Nelle Seguenti Attività

    • Disegno, sviluppo, test e misurazione delle performance di modelli di Machine Learning e di modelli statistici in ambito Marketing: segmentazioni, Customer scoring, modelli di classificazione, modelli predittivi, modelli di propensione/raccomandazione;
    • Analisi dati avanzate sul comportamento dei Clienti sia su canale fisico che digitale attraverso esplorazione di dati strutturati e destrutturati, al fine di derivare insight di business;
    • Sviluppo di analisi quantitative e modelli di Machine Learning a supporto di progettualità di data-driven Strategy & Decision Making;
    • Attività di targeting evoluto e valutazione quantitativo-statistica delle campagne di Marketing;
    • Raccolta dei requisiti progettuali a diretto contatto con il cliente per il disegno e l’elaborazione di soluzioni data-driven;

    Your unique strengths

    • Stai concludendo o hai concluso il percorso di studi o possiedi una laurea magistrale preferibilmente ad indirizzo scientifico (es. Data Science, Informatica, Statistica, Matematica, Fisica);
    • Hai un’ottima conoscenza di almeno uno tra i linguaggi Python ed R;
    • Possiedi una buona conoscenza dei database relazionali e del linguaggio SQL;
    • Hai forti competenze analitiche e ti interessa usare i dati per trovare soluzioni funzionali, creative ed innovative a problemi complessi;
    • Parli e scrivi in inglese fluentemente;
    • Ti interessa lavorare in team e crescere in un ambiente di lavoro stimolante e positivo;
    • Sei flessibile e hai forte motivazione ad intraprendere una carriera professionale in consulenza;

    Saranno considerate un plus, le conoscenze, anche a livello base di:

    • Framework Spark e piattaforme Cloud come Amazon Web Services, Azure e Google Cloud Platform;
    • Artificial Intelligence in ambito Speech Analytics, Natural Language Processing o Computer Vision;
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-04,[] +4004157350,https://it.linkedin.com/jobs/view/data-scientist-at-skill-farm-4004157350?position=30&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=MgBBRaGXpOVi6iPZL46DXA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Skill Farm,"Milan, Lombardy, Italy","Skill Farm Members are invited to apply for the following role: + +Responsibilities: + + +Accountable for proof-of-concept product testing, product portfolio development, deployment and lifecycle management, interacting and coordinating a team of data scientist, data engineer, solution architect, data quality assurance and delivery manager. The scope includes project management responsibilities with focus on prioritization and time management, product performance management, innovation and rationalisation; +Create and own market requirements specifications and business cases for the product (s). Responsible for taking services through the Group and Italian Gating process; +Work in close relationship with key stakeholders in Italy (Big Data, Privacy & Legal, other Product Marketing squads, IT Technology and Network), Vodafone Group and external parties including suppliers and Business Partners; + + +Skills & Qualifications: + + +minimum 3-5 years experience in developing, implementing and maintaining Machine Learning /AI models and Optimization Algorithms. Previous experience in performing analytics on cloud platforms is required; +Technical Expert, with hands-on experience in cloud environments, Big Data Analytics landscape and architectures, ETL processes and statistics. Experience and knowledge of Spark, Python, GIS and Tableau is required; +Knowledge of process design and re-design methodologies, approaches and tools; +Past project management experiences with autonomy in delivering the project and proven ability to guide dev team members in improving their skill sets, motivate them and build the Analytics' Platform foundation for future growth with. Adoption of agile methodology is a plus; +Excellent communication skills, with the ability to present technical results to non-technical audiences. +Show more ","
    + + + + + +
    +
    + Skill Farm Members are invited to apply for the following role:

    Responsibilities:

    • Accountable for proof-of-concept product testing, product portfolio development, deployment and lifecycle management, interacting and coordinating a team of data scientist, data engineer, solution architect, data quality assurance and delivery manager. The scope includes project management responsibilities with focus on prioritization and time management, product performance management, innovation and rationalisation;
    • Create and own market requirements specifications and business cases for the product (s). Responsible for taking services through the Group and Italian Gating process;
    • Work in close relationship with key stakeholders in Italy (Big Data, Privacy & Legal, other Product Marketing squads, IT Technology and Network), Vodafone Group and external parties including suppliers and Business Partners;

    Skills & Qualifications:

    • minimum 3-5 years experience in developing, implementing and maintaining Machine Learning /AI models and Optimization Algorithms. Previous experience in performing analytics on cloud platforms is required;
    • Technical Expert, with hands-on experience in cloud environments, Big Data Analytics landscape and architectures, ETL processes and statistics. Experience and knowledge of Spark, Python, GIS and Tableau is required;
    • Knowledge of process design and re-design methodologies, approaches and tools;
    • Past project management experiences with autonomy in delivering the project and proven ability to guide dev team members in improving their skill sets, motivate them and build the Analytics' Platform foundation for future growth with. Adoption of agile methodology is a plus;
    • Excellent communication skills, with the ability to present technical results to non-technical audiences.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +4003521510,https://it.linkedin.com/jobs/view/antifraud-advanced-analytics-data-scientist-at-intesa-sanpaolo-4003521510?position=31&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=9kR1zSKAG1329NvL0FKajA%3D%3D&trk=public_jobs_jserp-result_search-card,Antifraud Advanced Analytics Data Scientist,Intesa Sanpaolo,"Milan, Lombardy, Italy","Intesa Sanpaolo è un gruppo bancario internazionale, leader in Italia e fra i primi 5 gruppi dell'area euro con oltre 20 milioni di clienti in Italia e all’estero. Estremamente innovativo è anche motore di crescita sostenibile e inclusiva, con impatto concreto sulla società e con un forte impegno per l’ambiente. + + + + +Scopo e Attività + + + + +Stiamo cercando una persona che sia in grado di sviluppare soluzioni a problemi analitici predittivi complessi utilizzando le diverse fonti di dati disponibili, in grado di individuare soluzioni efficaci in logica di priorità, garantendo un approccio challenging alle sfide e riuscendo a sviluppare sinergie e senso di inclusione. + +In questo ruolo, verrà inserita all’interno dell’ufficio Antifraud & Customer Protection e si occuperà di sviluppare nuovi casi d'uso, identificare automaticamente eventi potenzialmente malevoli o pattern di interesse mediante l’analisi statistica, l’elaborazione di grandi quantità di dati e la creazione di modelli di Machine, a valore sia per la Capogruppo sia per le Legal Entity del Gruppo Intesa Sanpaolo. + +Lavorerà a stretto contatto con differenti professionalità e culture aziendali in un contesto internazionale, dinamico e in forte crescita. + + + + +La persona individuata si occuperà delle seguenti attività: + + + + +evoluzione delle attività di prevention & detection verso un modello data driven; +identificazione di trend anomali derivanti dall’operatività sui canali digitali; +organizzazione dei dati in formati idonei per l’analisi e l’interpretazione; +identificazione di nuovi pattern di attacco e codificare algoritmi per l’individuazione di attività potenzialmente anomale; +supporto alle analisi durante le attività di monitoraggio e progettazione; +comunicazione e rendicontazione dei principali risultati ottenuti. + + + + +Esperienza Richiesta + + + + +3-5 anni di esperienza in ambito Cybersecurity e/o Business Continuity. + + + + +Qualifiche Richieste, Skills e Competenze + + + + +Capacità di organizzare, analizzare e valutare grandi quantità di dati (ad es. Big Data) +Ottime competenze in tecniche e metodi di statistica, data mining e modelli matematici +Ottime competenze nell'utilizzo di tecniche machine learning (natural language processing, classification, clustering, ensemble methods, deep learning) +Ottime competenze nell’utilizzo di linguaggi di programmazione statistica (Python) e linguaggi per database (ad es. SQL) +Buon competenze di applicazioni di algoritmi di Machine learning e comportamentali in ambito Cyber con particolare focus sull’applicazione in ambito Antifrode +Conoscenza delle best practices e degli strumenti di Data Analytics rivolti alla prevenzione delle principali tecniche di attacco in ambito Cybersecurity +Buona conoscenza della lingua inglese. + + + + +Costituiscono titolo preferenziale eventuali competenze in ambito cybersecurity, in particolare Antifrode, e IT. + + + + +Entra a far parte di una realtà internazionale e innovativa. Il futuro non si aspetta, si sceglie! + +#sharingfuture + +Show more ","
    + + + + + +
    +
    +

    Intesa Sanpaolo è un gruppo bancario internazionale, leader in Italia e fra i primi 5 gruppi dell'area euro con oltre 20 milioni di clienti in Italia e all’estero. Estremamente innovativo è anche motore di crescita sostenibile e inclusiva, con impatto concreto sulla società e con un forte impegno per l’ambiente.


    Scopo e Attività


    Stiamo cercando una persona che sia in grado di sviluppare soluzioni a problemi analitici predittivi complessi utilizzando le diverse fonti di dati disponibili, in grado di individuare soluzioni efficaci in logica di priorità, garantendo un approccio challenging alle sfide e riuscendo a sviluppare sinergie e senso di inclusione.

    In questo ruolo, verrà inserita all’interno dell’ufficio Antifraud & Customer Protection e si occuperà di sviluppare nuovi casi d'uso, identificare automaticamente eventi potenzialmente malevoli o pattern di interesse mediante l’analisi statistica, l’elaborazione di grandi quantità di dati e la creazione di modelli di Machine, a valore sia per la Capogruppo sia per le Legal Entity del Gruppo Intesa Sanpaolo.

    Lavorerà a stretto contatto con differenti professionalità e culture aziendali in un contesto internazionale, dinamico e in forte crescita.


    La persona individuata si occuperà delle seguenti attività:


    • evoluzione delle attività di prevention & detection verso un modello data driven;
    • identificazione di trend anomali derivanti dall’operatività sui canali digitali;
    • organizzazione dei dati in formati idonei per l’analisi e l’interpretazione;
    • identificazione di nuovi pattern di attacco e codificare algoritmi per l’individuazione di attività potenzialmente anomale;
    • supporto alle analisi durante le attività di monitoraggio e progettazione;
    • comunicazione e rendicontazione dei principali risultati ottenuti.


    Esperienza Richiesta


    3-5 anni di esperienza in ambito Cybersecurity e/o Business Continuity.


    Qualifiche Richieste, Skills e Competenze


    • Capacità di organizzare, analizzare e valutare grandi quantità di dati (ad es. Big Data)
    • Ottime competenze in tecniche e metodi di statistica, data mining e modelli matematici
    • Ottime competenze nell'utilizzo di tecniche machine learning (natural language processing, classification, clustering, ensemble methods, deep learning)
    • Ottime competenze nell’utilizzo di linguaggi di programmazione statistica (Python) e linguaggi per database (ad es. SQL)
    • Buon competenze di applicazioni di algoritmi di Machine learning e comportamentali in ambito Cyber con particolare focus sull’applicazione in ambito Antifrode
    • Conoscenza delle best practices e degli strumenti di Data Analytics rivolti alla prevenzione delle principali tecniche di attacco in ambito Cybersecurity
    • Buona conoscenza della lingua inglese.


    Costituiscono titolo preferenziale eventuali competenze in ambito cybersecurity, in particolare Antifrode, e IT.


    Entra a far parte di una realtà internazionale e innovativa. Il futuro non si aspetta, si sceglie!

    #sharingfuture

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +4007351370,https://it.linkedin.com/jobs/view/python-developer-ai-at-docebo-4007351370?position=32&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=UsnHyHsH2JZ8TDStlLIgZw%3D%3D&trk=public_jobs_jserp-result_search-card,Python Developer - AI,Docebo,"Biassono, Lombardy, Italy","Hey you! 👋  Want to work for one of the fastest growing SaaS companies in the world? 📈 + +We’re building the next generation of learning software that companies like AWS, Netflix, Opentable and L’Oreal rely on to deliver training 💻 We believe learning is for everyone, and that we all have something we can learn from each other. We rely on one another to continuously innovate our products and processes to create an exceptional experience for our employees, customers and partners. + +Still not sure? We are a culture where values are at the center of everything we do. We also embody what we call the Docebo Heart. We trust our teammates, assume the best of one another, and also hold space for all the differences that make us better. 💙 + +So what are you waiting for? Apply today! Join 800+ global Docebians and change the way people learn.  + +Are you ready to be a part of the learning revolution? 🚀 + +About This Opportunity: + + + + +This role is responsible for evolving Docebo AI services within the deadline and following AI department guidelines. Reporting on progress and developments directly to the relevant Software Development Manager. + +Reports to: Software Development Manager + +Location: Biassono or Milan, Italy (Hybrid) + + + + +Responsibilities: +Develop the main Docebo AI services +Follow project development and manage practical activities and tasks related to the project's implementation +Be a part of an Agile, Scrum international team with other backend and frontend development + + + + + +Requirements: +Minimum of 3/5 years of experience as a SW developer +Good problem-solving/debugging skills +Understanding of software development lifecycle +Experience working in an agile development environment +Experience with TDD / BDD, unit testing, integration testing +Experience with AWS or similar cloud service providers +Practical knowledge of Python or Node (Typescript + Javascript) +Good knowledge of written and spoken English + + + + + +Nice to have: +Knowledge of component-based frontend frameworks (e.g. React, Angular 2+). Experience building responsive websites for different device types/screen sizes +Experience working with LangChain and Pydantic libraries in Python +Experience working with Terraform (Infrastructure as Code) +Excellent communication and interpersonal skills  +Passion for creating a great user experience +Self-driven, results-oriented with a positive outlook, and a clear focus on high quality +Good organizational skills and an ability to prioritize tasks effectively + + + + + + + + +Benefits & Perks 😍 + +-Generous Vacation Policy, plus 2 extra floating holidays to use for religious or cultural events that matter to you + +-Employee Share Purchase Plan + +-Career progression/internal mobility opportunities + +-Four employee resource groups to get involved with (the Docebo Women's Alliance, PRIDE, BIDOC, and Green Ambassadors) + +-WeWork partnership and “Work from Anywhere” program + +Hybrid Office Model 🏢 + +We believe when people are together, they develop deeper relationships and accelerate innovation. Because of this, all Docebo employees worldwide are “hybrid.” We encourage in-person collaboration while supporting work-from-home when employees need dedicated focus time, allowing Docebians to do their best every day. Each team leader is able to decide how often their teams come into the office, considering the needs of the team and the employee’s needs. Our Talent Acquisition team will let you know about the role you are applying for and the hybrid details during the first interview. + +About Docebo 💙 + +Here at Docebo, we power learning experiences for over 3000 customers around the world with our easy-to-use, AI-powered Suite designed to close the enterprise learning loop. We have successfully achieved 2 IPOs (TSX: DCBO & NASDAQ: DCBO), been recognized as a Top SaaS e-learning Solution, and are growing exponentially in the process. + +Docebo is a global company with offices in North America, EMEA, APAC and more. Our people believe in six core values, simply defined and manifested in everything we do - Innovation, Simplicity, Accountability, Togetherness, Curiosity, and Impact. If this sounds like you, now is your time to join one of the fastest-growing learning technology companies on the market. Apply today! + +Docebo is an Equal Employment Opportunity employer. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. + +Any individuals requiring a reasonable accommodation to assist with their job search or application for employment should send an e-mail to recruiting_accommodations + +(at) docebo.com. The e-mail should include a description of the requested accommodation and the position you’re applying for or interested in. + +Show more ","
    + + + + + +
    +
    +

    Hey you! 👋  Want to work for one of the fastest growing SaaS companies in the world? 📈

    We’re building the next generation of learning software that companies like AWS, Netflix, Opentable and L’Oreal rely on to deliver training 💻 We believe learning is for everyone, and that we all have something we can learn from each other. We rely on one another to continuously innovate our products and processes to create an exceptional experience for our employees, customers and partners.

    Still not sure? We are a culture where values are at the center of everything we do. We also embody what we call the Docebo Heart. We trust our teammates, assume the best of one another, and also hold space for all the differences that make us better. 💙

    So what are you waiting for? Apply today! Join 800+ global Docebians and change the way people learn. 

    Are you ready to be a part of the learning revolution? 🚀

    About This Opportunity:


    This role is responsible for evolving Docebo AI services within the deadline and following AI department guidelines. Reporting on progress and developments directly to the relevant Software Development Manager.

    Reports to: Software Development Manager

    Location: Biassono or Milan, Italy (Hybrid)


    Responsibilities:
    • Develop the main Docebo AI services
    • Follow project development and manage practical activities and tasks related to the project's implementation
    • Be a part of an Agile, Scrum international team with other backend and frontend development


    Requirements:
    • Minimum of 3/5 years of experience as a SW developer
    • Good problem-solving/debugging skills
    • Understanding of software development lifecycle
    • Experience working in an agile development environment
    • Experience with TDD / BDD, unit testing, integration testing
    • Experience with AWS or similar cloud service providers
    • Practical knowledge of Python or Node (Typescript + Javascript)
    • Good knowledge of written and spoken English


    Nice to have:
    • Knowledge of component-based frontend frameworks (e.g. React, Angular 2+). Experience building responsive websites for different device types/screen sizes
    • Experience working with LangChain and Pydantic libraries in Python
    • Experience working with Terraform (Infrastructure as Code)
    • Excellent communication and interpersonal skills 
    • Passion for creating a great user experience
    • Self-driven, results-oriented with a positive outlook, and a clear focus on high quality
    • Good organizational skills and an ability to prioritize tasks effectively



    Benefits & Perks 😍

    -Generous Vacation Policy, plus 2 extra floating holidays to use for religious or cultural events that matter to you

    -Employee Share Purchase Plan

    -Career progression/internal mobility opportunities

    -Four employee resource groups to get involved with (the Docebo Women's Alliance, PRIDE, BIDOC, and Green Ambassadors)

    -WeWork partnership and “Work from Anywhere” program

    Hybrid Office Model 🏢

    We believe when people are together, they develop deeper relationships and accelerate innovation. Because of this, all Docebo employees worldwide are “hybrid.” We encourage in-person collaboration while supporting work-from-home when employees need dedicated focus time, allowing Docebians to do their best every day. Each team leader is able to decide how often their teams come into the office, considering the needs of the team and the employee’s needs. Our Talent Acquisition team will let you know about the role you are applying for and the hybrid details during the first interview.

    About Docebo 💙

    Here at Docebo, we power learning experiences for over 3000 customers around the world with our easy-to-use, AI-powered Suite designed to close the enterprise learning loop. We have successfully achieved 2 IPOs (TSX: DCBO & NASDAQ: DCBO), been recognized as a Top SaaS e-learning Solution, and are growing exponentially in the process.

    Docebo is a global company with offices in North America, EMEA, APAC and more. Our people believe in six core values, simply defined and manifested in everything we do - Innovation, Simplicity, Accountability, Togetherness, Curiosity, and Impact. If this sounds like you, now is your time to join one of the fastest-growing learning technology companies on the market. Apply today!

    Docebo is an Equal Employment Opportunity employer. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.

    Any individuals requiring a reasonable accommodation to assist with their job search or application for employment should send an e-mail to recruiting_accommodations

    (at) docebo.com. The e-mail should include a description of the requested accommodation and the position you’re applying for or interested in.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3987844752,https://it.linkedin.com/jobs/view/data-science-internship-at-technogym-3987844752?position=33&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=Bkh96cDaHMSHO4POsGWtcw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Science Internship,Technogym,"Milan, Lombardy, Italy","Our Company + +Technogym inspires 55 million daily users to train using our innovative & engaging solutions for fitness, sport and health. By promoting the wellness lifestyle of exercise, a balanced diet, and a positive mental approach, Technogym has rapidly grown into a success story of over 2,500 employees at 15 branches, expanding to more than 100 countries and has been selected as Official Supplier to 9 editions of the Olympic Games - from Sydney 2000 to Paris 2024. + +If you are a team player with strong relationship skills and an international approach, eager to invest your energy in building dreams, you have the right spirit to join Technogym! You will naturally fit with our culture if you work out and live a healthy lifestyle, are pro-active, determined and digital savvy. Move with us for a better world! + +Your Role + +At Technogym, we put data at the forefront of all decisions. As a Junior Data Scientist, you will be part of a team working on data analysis and data modeling of both internal data and customer data, across all products of the Technogym Ecosystem. + +In this role, you will work with a team of Data Scientists and Data Engineers and collaborate cross-functionally with Marketing, Product Marketing, and other departments working on Technogym Products. You will contribute insights to Technogym’s product strategy and direction through quantitative analysis and research. + +Your Impact + + +Collaborate with teams in Product Marketing, Marketing, Sales, and Finance to understand business context, ideate, and deliver insights and prototypes. +Assist Data Analyst and Engineers in improving data extraction, transformation, and modeling through the design of appropriate metrics. +Provide analyses through advanced analytics/statistical methods that tell a “story” focused on business insights. +Develop reusable and robust analytic frameworks to ensure consistent results across business areas. + + + +About You + + +Bachelor’s degree in Statistics, Economics, Mathematics, or a related quantitative discipline, or equivalent practical experience. +Up to 3/4 years of experience in a Data Analyst or Data Science role, analyzing data sets to solve business problems through statistical methods and predictive analytics. +Experience with statistical software (e.g., Python), database languages (e.g., SQL), and data visualization tools (e.g., Tableau). + + + +Preferred Qualifications + + +Experience in data analysis, especially for time series data, to solve business problems in complex, fast-moving, and ambiguous business environments with strong data intuition and business acumen. +Experience in stakeholder-facing or client-facing roles (e.g., previous internship or consulting role). + + + +Technogym is an Equal Opportunities Employer + +Technogym is an equal opportunities employer. We welcome applications from all members of society irrespective of age, sex, sexual orientation, race, religion or belief. + +Discover your potential with a career at Technogym, where work means loving what you do, taking on challenges, learning from others, sharing a vision and making it come true! +Show more ","
    + + + + + +
    +
    + Our Company

    Technogym inspires 55 million daily users to train using our innovative & engaging solutions for fitness, sport and health. By promoting the wellness lifestyle of exercise, a balanced diet, and a positive mental approach, Technogym has rapidly grown into a success story of over 2,500 employees at 15 branches, expanding to more than 100 countries and has been selected as Official Supplier to 9 editions of the Olympic Games - from Sydney 2000 to Paris 2024.

    If you are a team player with strong relationship skills and an international approach, eager to invest your energy in building dreams, you have the right spirit to join Technogym! You will naturally fit with our culture if you work out and live a healthy lifestyle, are pro-active, determined and digital savvy. Move with us for a better world!

    Your Role

    At Technogym, we put data at the forefront of all decisions. As a Junior Data Scientist, you will be part of a team working on data analysis and data modeling of both internal data and customer data, across all products of the Technogym Ecosystem.

    In this role, you will work with a team of Data Scientists and Data Engineers and collaborate cross-functionally with Marketing, Product Marketing, and other departments working on Technogym Products. You will contribute insights to Technogym’s product strategy and direction through quantitative analysis and research.

    Your Impact

    • Collaborate with teams in Product Marketing, Marketing, Sales, and Finance to understand business context, ideate, and deliver insights and prototypes.
    • Assist Data Analyst and Engineers in improving data extraction, transformation, and modeling through the design of appropriate metrics.
    • Provide analyses through advanced analytics/statistical methods that tell a “story” focused on business insights.
    • Develop reusable and robust analytic frameworks to ensure consistent results across business areas.


    About You

    • Bachelor’s degree in Statistics, Economics, Mathematics, or a related quantitative discipline, or equivalent practical experience.
    • Up to 3/4 years of experience in a Data Analyst or Data Science role, analyzing data sets to solve business problems through statistical methods and predictive analytics.
    • Experience with statistical software (e.g., Python), database languages (e.g., SQL), and data visualization tools (e.g., Tableau).


    Preferred Qualifications

    • Experience in data analysis, especially for time series data, to solve business problems in complex, fast-moving, and ambiguous business environments with strong data intuition and business acumen.
    • Experience in stakeholder-facing or client-facing roles (e.g., previous internship or consulting role).


    Technogym is an Equal Opportunities Employer

    Technogym is an equal opportunities employer. We welcome applications from all members of society irrespective of age, sex, sexual orientation, race, religion or belief.

    Discover your potential with a career at Technogym, where work means loving what you do, taking on challenges, learning from others, sharing a vision and making it come true! +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +4001588344,https://it.linkedin.com/jobs/view/artificial-intelligence-engineer-at-iriscube-reply-4001588344?position=36&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=W0OrCj3dIdfSjumKf6YGTg%3D%3D&trk=public_jobs_jserp-result_search-card,Artificial Intelligence Engineer,Iriscube Reply,Greater Milan Metropolitan Area,"Iriscube Reply è una società appartenente al gruppo Reply S.p.A., specializzata nella consulenza IT e nello sviluppo di soluzioni complesse e innovative per il settore finanziario, con un particolare focus sulla multi/omnicanalità e l'integrazione di tecnologie avanzate, inclusa l'Intelligenza Artificiale (AI). Il nostro approccio si basa sulla collaborazione all'interno di team strutturati, creando solide relazioni con i clienti e seguendo i progetti dalla concezione al rilascio, assumendo spesso una responsabilità ""End To End"". Lavoriamo con importanti attori del settore bancario, assicurativo e delle startup italiani e internazionali, realizzando soluzioni avanzate quali portali informativi, servizi di internet e mobile banking (sia soluzioni native che ibride), customer journey, social digital wallet, sistemi intelligenti per contact center, piattaforme di wealth management, sistemi di biometria digitale, machine learning e molto altro ancora. Siamo alla ricerca di individui ambiziosi che desiderano svilupparsi professionalmente in un team giovane e dinamico, dedicandosi a progetti innovativi, inclusi quelli basati sull'Intelligenza Artificiale. + + + + +Stiamo cercando un Artificial Intelligence Engineer per unirsi al nostro team. Se sei appassionato/a di intelligenza artificiale, in particolare delle tecnologie di Generative AI, e desideri contribuire a progetti all’avanguardia, questa è l’opportunità che fa per te. + + + + +REQUISITI PER LA CANDIDATURA: + +Laurea triennale o magistrale in Informatica o Ingegneria Informatica. +Conoscenza dei design pattern, degli algoritmi e delle strutture dati. +Conoscenza dei principali concetti di Data Science, Deep Learning e Machine Learning, compresi pre-elaborazione, feature engineering, valutazione dei modelli +Abilità di risolvere problemi in modo creativo e adattarsi rapidamente ai cambiamenti +Disponibilità a lavorare in presenza presso i nostri uffici di Milano, Torino o Roma. + + + + +REQUISITI OPZIONALI E PREFERENZIALI: + +Esperienza nell’implementazione di soluzioni basate su AI in ambiente enterprise +Esperienza nell’uso di modelli LLM sia open-source che dei principali provider (OpenAI, Google..) sia in prompting che in fine-tuning +Conoscenza di un framework per lo sviluppo backend (Java Spring Boot, Python Django / Flask) +Conoscenza di un framework per lo sviluppo front-end (Angular, React) + + + + + + + +PRINCIPALI ATTIVITÀ LAVORATIVE: + +• Progettazione e implementazione di soluzioni AI applicabili a una serie di casi d'uso, concentrandosi su componenti e framework riutilizzabili. + +• Adozione di un approccio sistematico nello sviluppo del software, seguendo le migliori pratiche e prestando particolare attenzione all'automazione dei test + +• Rimanere aggiornato sulle ultime novità nell'ambito dell'Intelligenza Artificiale Generativa, delle tecniche di AI/ML e delle migliori pratiche del settore, e applicare questa conoscenza per la realizzazione di prototipi e miglioramenti + +• Coinvolgimento e collaborazione con team cross-funzionali per sviluppare soluzioni AI avanzate. + + + + + + + +LAVORARE IN IRISCUBE REPLY SIGNIFICA: + +• Partecipare a progetti innovativi basati sull'Intelligenza Artificiale. + +• Scoprire nuove tecnologie e metterle in pratica in un contesto Enterprise. + +• Affrontare ruoli di responsabilità sempre crescenti, in linea con i risultati ottenuti nel settore AI. + +• Siamo entusiasti, amiamo coltivare le relazioni per conoscere i nostri colleghi e condividere esperienze tra team organizzando eventi e momenti ricreativi per confrontarci e celebrare i nostri successi insieme. + + + + +Unisciti a noi per fare la differenza insieme, sfruttando le potenzialità dell'Intelligenza Artificiale. Per ulteriori informazioni, visita il nostro sito web all'indirizzo: https://www.reply.com/iriscube-reply/it/ + +Show more ","
    + + + + + +
    +
    +

    Iriscube Reply è una società appartenente al gruppo Reply S.p.A., specializzata nella consulenza IT e nello sviluppo di soluzioni complesse e innovative per il settore finanziario, con un particolare focus sulla multi/omnicanalità e l'integrazione di tecnologie avanzate, inclusa l'Intelligenza Artificiale (AI). Il nostro approccio si basa sulla collaborazione all'interno di team strutturati, creando solide relazioni con i clienti e seguendo i progetti dalla concezione al rilascio, assumendo spesso una responsabilità ""End To End"". Lavoriamo con importanti attori del settore bancario, assicurativo e delle startup italiani e internazionali, realizzando soluzioni avanzate quali portali informativi, servizi di internet e mobile banking (sia soluzioni native che ibride), customer journey, social digital wallet, sistemi intelligenti per contact center, piattaforme di wealth management, sistemi di biometria digitale, machine learning e molto altro ancora. Siamo alla ricerca di individui ambiziosi che desiderano svilupparsi professionalmente in un team giovane e dinamico, dedicandosi a progetti innovativi, inclusi quelli basati sull'Intelligenza Artificiale.


    Stiamo cercando un Artificial Intelligence Engineer per unirsi al nostro team. Se sei appassionato/a di intelligenza artificiale, in particolare delle tecnologie di Generative AI, e desideri contribuire a progetti all’avanguardia, questa è l’opportunità che fa per te.


    REQUISITI PER LA CANDIDATURA:

    • Laurea triennale o magistrale in Informatica o Ingegneria Informatica.
    • Conoscenza dei design pattern, degli algoritmi e delle strutture dati.
    • Conoscenza dei principali concetti di Data Science, Deep Learning e Machine Learning, compresi pre-elaborazione, feature engineering, valutazione dei modelli
    • Abilità di risolvere problemi in modo creativo e adattarsi rapidamente ai cambiamenti
    • Disponibilità a lavorare in presenza presso i nostri uffici di Milano, Torino o Roma.


    REQUISITI OPZIONALI E PREFERENZIALI:

    • Esperienza nell’implementazione di soluzioni basate su AI in ambiente enterprise
    • Esperienza nell’uso di modelli LLM sia open-source che dei principali provider (OpenAI, Google..) sia in prompting che in fine-tuning
    • Conoscenza di un framework per lo sviluppo backend (Java Spring Boot, Python Django / Flask)
    • Conoscenza di un framework per lo sviluppo front-end (Angular, React)



    PRINCIPALI ATTIVITÀ LAVORATIVE:

    • Progettazione e implementazione di soluzioni AI applicabili a una serie di casi d'uso, concentrandosi su componenti e framework riutilizzabili.

    • Adozione di un approccio sistematico nello sviluppo del software, seguendo le migliori pratiche e prestando particolare attenzione all'automazione dei test

    • Rimanere aggiornato sulle ultime novità nell'ambito dell'Intelligenza Artificiale Generativa, delle tecniche di AI/ML e delle migliori pratiche del settore, e applicare questa conoscenza per la realizzazione di prototipi e miglioramenti

    • Coinvolgimento e collaborazione con team cross-funzionali per sviluppare soluzioni AI avanzate.



    LAVORARE IN IRISCUBE REPLY SIGNIFICA:

    • Partecipare a progetti innovativi basati sull'Intelligenza Artificiale.

    • Scoprire nuove tecnologie e metterle in pratica in un contesto Enterprise.

    • Affrontare ruoli di responsabilità sempre crescenti, in linea con i risultati ottenuti nel settore AI.

    • Siamo entusiasti, amiamo coltivare le relazioni per conoscere i nostri colleghi e condividere esperienze tra team organizzando eventi e momenti ricreativi per confrontarci e celebrare i nostri successi insieme.


    Unisciti a noi per fare la differenza insieme, sfruttando le potenzialità dell'Intelligenza Artificiale. Per ulteriori informazioni, visita il nostro sito web all'indirizzo: https://www.reply.com/iriscube-reply/it/

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3963166499,https://it.linkedin.com/jobs/view/machine-learning-engineer-at-open-search-network-3963166499?position=37&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=zR6O9N3J8EByK8hyRfqGHA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Open Search Network,"Milan, Lombardy, Italy","Our client, a prestigious company that offers advisory services to support digital innovation to companies and public administrations, is looking to hire a: + + + + +Machine Learning Engineer + +(Milan/Italy) + + + + +Company: Consulting + +Experience: Between 3 and 5 years of working experience + +Skills: ML, Deep learning, NLP, Python + + + + +Tasks + + + + +Developing Machine Learning and Deep Learning algorithms to solve business problems in various industries +Designing and implementing robust and scalable machine learning pipelines, with a focus on NLP and generative AI +Managing continuous integration and continuous deployment (CI/CD) of AI models +Contributing to the development of new products and services in the field of NLP and generative AI +Producing reports and/or presentations +Providing technical consultancy and support to clients in defining Data strategy +Collaborating with data science and software development teams to effectively integrate AI models into product solutions. + + + + +Skills + + + + +Excellent software development skills +Excellent knowledge of Python +Experience with machine learning tools and frameworks like TensorFlow, PyTorch, or similar +Experience with Docker and cloud platforms (AWS, Azure, GCP) +Project management skills and ability to work effectively in cross-functional teams +Strong interest and knowledge of current trends in generative AI +Ability to communicate complex technical concepts to non-technical stakeholders +Experience in consulting or client-facing environments +Adaptability and quick learning in emerging technologies + + + + +Requirements + + + + +Bachelor's degree in Computer Science, Engineering, or related field +Between 3 and 5 years of experience in ML engineering roles, preferably in NLP and generative AI + +Show more ","
    + + + + + +
    +
    +

    Our client, a prestigious company that offers advisory services to support digital innovation to companies and public administrations, is looking to hire a:


    Machine Learning Engineer

    (Milan/Italy)


    Company: Consulting

    Experience: Between 3 and 5 years of working experience

    Skills: ML, Deep learning, NLP, Python


    Tasks


    • Developing Machine Learning and Deep Learning algorithms to solve business problems in various industries
    • Designing and implementing robust and scalable machine learning pipelines, with a focus on NLP and generative AI
    • Managing continuous integration and continuous deployment (CI/CD) of AI models
    • Contributing to the development of new products and services in the field of NLP and generative AI
    • Producing reports and/or presentations
    • Providing technical consultancy and support to clients in defining Data strategy
    • Collaborating with data science and software development teams to effectively integrate AI models into product solutions.


    Skills


    • Excellent software development skills
    • Excellent knowledge of Python
    • Experience with machine learning tools and frameworks like TensorFlow, PyTorch, or similar
    • Experience with Docker and cloud platforms (AWS, Azure, GCP)
    • Project management skills and ability to work effectively in cross-functional teams
    • Strong interest and knowledge of current trends in generative AI
    • Ability to communicate complex technical concepts to non-technical stakeholders
    • Experience in consulting or client-facing environments
    • Adaptability and quick learning in emerging technologies


    Requirements


    • Bachelor's degree in Computer Science, Engineering, or related field
    • Between 3 and 5 years of experience in ML engineering roles, preferably in NLP and generative AI

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3922744378,https://it.linkedin.com/jobs/view/ml-engineer-senior-at-ntt-data-italia-3922744378?position=38&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=%2FcZght2nWMocWHBrQJHeeg%3D%3D&trk=public_jobs_jserp-result_search-card,ML Engineer Senior,NTT DATA Italia,"Milan, Lombardy, Italy","NTT DATA, Trusted Global Innovator, è tra i principali player a livello mondiale in ambito IT services. Con più di 140.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura. Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine. Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze. + +Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento! + +www.nttdata.com/it + +Responsibilities + +The ideal candidate as Senior Machine Learning Engineer in NTT DATA will have a solid Generative AI hands-on capability (preferably on Azure/GCP and on-premise GenAI architecture and MLops), mathematical background, experience working on a range of classification, informational retrieval, clustering, and optimization problems, establishing scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation. + +The Senior Machine Learning Engineer will work alongside experienced Data Scientists, Data and ML Engineers to identify business opportunities, design and create new data pipelines from scratch, from experiments to deploying them in production. + +He/She will be responsible for multiple projects, leading the ML Engineers and connecting with the stakeholders. + +Required Skills + + +At least 5 years of production experience working in Data Science or Software Engineering; +Deep knowledge of math, probability, statistics and algorithms; +At least 6/12 months of experience in Generative AI deployment and underlying architecture handling; +Vector Database knowledge is well appreciated; +Understanding of data structures, data modeling and software architecture; +Fluent in a at least two mainstream programming language (Python, Scala, Java, C++); +Experience in building an infrastructure for technical users, such as Data Scientist, ML practitioners or data consumers/producers; +Strong knowledge of Spark, Databricks is a strong plus; +Experience developing/deploying ML solutions in one of the public cloud platforms and on a Cross-cloud base, Snowflake knowledge is a plus; +Deep knowledge with machine learning frameworks (such as Keras or PyTorch); +Ability to design and implement machine learning pipelines in a production environment; +Experience with deployment including knowledge of CI/CD, containerization, and related concepts with a focus over MLops/Re-Training/Drift Management; +Ability to train more junior team members in multiple Machine Learning and Deep Learning concepts; +Establish and maintain strong relationships with internal team members and external clients + + + +Location: Milano, Bari, Bologna, Cosenza, Napoli, Pisa, Roma, Torino +Show more ","
    + + + + + +
    +
    + NTT DATA, Trusted Global Innovator, è tra i principali player a livello mondiale in ambito IT services. Con più di 140.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura. Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine. Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze.

    Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento!

    www.nttdata.com/it

    Responsibilities

    The ideal candidate as Senior Machine Learning Engineer in NTT DATA will have a solid Generative AI hands-on capability (preferably on Azure/GCP and on-premise GenAI architecture and MLops), mathematical background, experience working on a range of classification, informational retrieval, clustering, and optimization problems, establishing scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation.

    The Senior Machine Learning Engineer will work alongside experienced Data Scientists, Data and ML Engineers to identify business opportunities, design and create new data pipelines from scratch, from experiments to deploying them in production.

    He/She will be responsible for multiple projects, leading the ML Engineers and connecting with the stakeholders.

    Required Skills

    • At least 5 years of production experience working in Data Science or Software Engineering;
    • Deep knowledge of math, probability, statistics and algorithms;
    • At least 6/12 months of experience in Generative AI deployment and underlying architecture handling;
    • Vector Database knowledge is well appreciated;
    • Understanding of data structures, data modeling and software architecture;
    • Fluent in a at least two mainstream programming language (Python, Scala, Java, C++);
    • Experience in building an infrastructure for technical users, such as Data Scientist, ML practitioners or data consumers/producers;
    • Strong knowledge of Spark, Databricks is a strong plus;
    • Experience developing/deploying ML solutions in one of the public cloud platforms and on a Cross-cloud base, Snowflake knowledge is a plus;
    • Deep knowledge with machine learning frameworks (such as Keras or PyTorch);
    • Ability to design and implement machine learning pipelines in a production environment;
    • Experience with deployment including knowledge of CI/CD, containerization, and related concepts with a focus over MLops/Re-Training/Drift Management;
    • Ability to train more junior team members in multiple Machine Learning and Deep Learning concepts;
    • Establish and maintain strong relationships with internal team members and external clients


    Location: Milano, Bari, Bologna, Cosenza, Napoli, Pisa, Roma, Torino +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3922739984,https://it.linkedin.com/jobs/view/data-scientist-senior-at-ntt-data-italia-3922739984?position=39&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=ket5ATioMEoaZoWmJOLi8w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist Senior,NTT DATA Italia,"Milan, Lombardy, Italy","NTT DATA, Trusted Global Innovator, è tra i principali player a livello mondiale in ambito IT services. Con più di 140.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura. Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine. Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze. + +Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento! + +www.nttdata.com/it + +Responsibilities + +The ideal candidate as Senior Data Scientist in NTT DATA will have a mix of skills including Generative AI hands-on capability (preferably on Azure/GCP and on-premise) engineering best practices, statistical expertise, Machine and Deep Learning skills and a strong business sense. + +The Senior Data Scientist will work with fellow data scientists, data engineers, ML Engineers, product managers, business analysts, and stakeholders from other internal groups and from external clients. + +He/She will be responsible for multiple projects, leading the Data Scientists and connecting with the stakeholders on client?s side, to ensure that tasks are on time and well executed. + +Required Skills + + +Experience of at least 3-5 years as data scientist; +Strong Python (mandatory) and SQL coding; +Knowledge of Java/Scala or C++/R is a plus; +Tensorflow and Pytorch knowledge with a focus over Computer Vision solutions; +Knowledge of ML solutions architecture and Generative AI pipelines; +Cloud and hybrid ML implementations; +Incorporate new, cutting edge business intelligence, machine learning, and alternative data practices into wider organization to drive efficiencies and generate revenue; +Own the full stack execution of data science projects from data wrangling, model development, presentation, measurement to deployment; +Work with data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering and model training/prediction; +Conduct research and analysis into reinsurance and advisory products to augment industry-standard models and develop new market offerings; +Establish and maintain strong relationships with internal team members and external clients + + + +Location: Milano, Bari, Bologna, Cosenza, Napoli, Roma, Salerno, Torino +Show more ","
    + + + + + +
    +
    + NTT DATA, Trusted Global Innovator, è tra i principali player a livello mondiale in ambito IT services. Con più di 140.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura. Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine. Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze.

    Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento!

    www.nttdata.com/it

    Responsibilities

    The ideal candidate as Senior Data Scientist in NTT DATA will have a mix of skills including Generative AI hands-on capability (preferably on Azure/GCP and on-premise) engineering best practices, statistical expertise, Machine and Deep Learning skills and a strong business sense.

    The Senior Data Scientist will work with fellow data scientists, data engineers, ML Engineers, product managers, business analysts, and stakeholders from other internal groups and from external clients.

    He/She will be responsible for multiple projects, leading the Data Scientists and connecting with the stakeholders on client?s side, to ensure that tasks are on time and well executed.

    Required Skills

    • Experience of at least 3-5 years as data scientist;
    • Strong Python (mandatory) and SQL coding;
    • Knowledge of Java/Scala or C++/R is a plus;
    • Tensorflow and Pytorch knowledge with a focus over Computer Vision solutions;
    • Knowledge of ML solutions architecture and Generative AI pipelines;
    • Cloud and hybrid ML implementations;
    • Incorporate new, cutting edge business intelligence, machine learning, and alternative data practices into wider organization to drive efficiencies and generate revenue;
    • Own the full stack execution of data science projects from data wrangling, model development, presentation, measurement to deployment;
    • Work with data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering and model training/prediction;
    • Conduct research and analysis into reinsurance and advisory products to augment industry-standard models and develop new market offerings;
    • Establish and maintain strong relationships with internal team members and external clients


    Location: Milano, Bari, Bologna, Cosenza, Napoli, Roma, Salerno, Torino +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +3997235208,https://it.linkedin.com/jobs/view/senior-data-scientist-at-matchguru-3997235208?position=42&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=TsysDP5iotUtFfFd2hf6dA%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,MatchGuru,"Milan, Lombardy, Italy","Ciao, talento del tech! 🌟 + +Siamo MatchGuru, piacere di conoscerti! + + + + +Ci presentiamo, come è giusto che sia 🤝 + +MatchGuru è più di una piattaforma: è l'epicentro dove talenti e aziende si scoprono, capiscono e incontrano. Un mix (già leggendario) di tecnologia e competenza, progettato per match che vanno oltre l'eccellenza. Con le nostre soluzioni tecnologiche proprietarie, acceleriamo ed efficientiamo il processo di selezione, liberandolo da rallentamenti ed errori. Questo ci rende anche una vera e propria guida per talenti, che accompagniamo verso le opportunità più affini alle proprie caratteristiche e aspettative. + + + + +Cosa ci facciamo qui 👀 + +Oltre a garantire match perfetti a te, aiutiamo in tutti i modi le aziende a scovare i talenti più affini al proprio DNA, assicurando una perfetta compatibilità di skill, aspettative, aspirazioni e valori. Vogliamo assicurare soddisfazione e gratificazione sia ai talenti, che alle aziende. + + + + +⭐ L’opportunità + +Posizione: Senior Data Scientist +Seniority: 5+ anni nel ruolo +Dove: Milano, in sede. Previsto 1 giorno di smartworking +Azienda di prodotto ambito robotica per settore industriale e healtcare + + + + +💼 Le tue responsabilità includeranno… + +Sviluppare, prototipare e distribuire algoritmi e modelli di intelligenza artificiale e apprendimento automatico per visione artificiale, PNL, previsione di serie temporali, rilevamento di anomalie e molti problemi personalizzati. +Eseguire analisi avanzate dei dati e generare informazioni utili che informano e migliorano soluzioni e applicazioni robotiche. +Lavorare a stretto contatto con team interfunzionali, tra cui ingegneria, sviluppo prodotto e gestione dei progetti, per allineare le iniziative di data science con gli obiettivi aziendali. +Rimani aggiornato con gli ultimi sviluppi nell'intelligenza artificiale e nell'apprendimento automatico, applicando tecniche innovative ai progetti attuali. +Perfezionare e ottimizzare i modelli per migliorare prestazioni, robustezza e scalabilità in contesti reali. + + + + +💡 Potresti fare match con questa posizione se… + +Laurea magistrale o dottorato di ricerca in Matematica, Ingegneria Matematica, Statistica, Fisica, Scienza dei Dati o un campo correlato. +Oltre 5 anni di esperienza pratica con algoritmi di intelligenza artificiale e apprendimento automatico (ad esempio LLM, reti neurali convoluzionali, reti neurali ricorrenti, XGBoost, ecc.) +Competenza in Python con una conoscenza approfondita dei framework e delle librerie di machine learning (ad esempio, Scikit-Learn, TensorFlow, PyTorch) +Esperienza con strumenti e piattaforme per big data (ad esempio Spark) +Avanzate capacità di analisi statistica e problem solving. +Eccellente capacità di spiegare concetti tecnici complessi sia a un pubblico tecnico che a un pubblico non tecnico +Eccellenti capacità comunicative e relazionali +Conoscenza della lingua inglese + + + + +💶 Ma andiamo al sodo: ecco cosa ti offrono + +Contratto a Tempo Indeterminato, assunzione diretta +Range RAL 40-50K + + + + +Se pensi di essere il match perfetto per questa opportunità o conosci qualcuno che potrebbe esserlo, candidati subito oppure contattaci! 📩 + +Proviamo a matchare? 🚀 + + + + + + + +N.B. Ricorda di esplicitare nel CV il tuo consenso al trattamento dei dati personali, ai sensi del D.LGS. 196/03. La ricerca è egualmente rivolta a donne e uomini, in accordo con la normativa vigente (L.903/77). + +Show more ","
    + + + + + +
    +
    +

    Ciao, talento del tech! 🌟

    Siamo MatchGuru, piacere di conoscerti!


    Ci presentiamo, come è giusto che sia 🤝

    MatchGuru è più di una piattaforma: è l'epicentro dove talenti e aziende si scoprono, capiscono e incontrano. Un mix (già leggendario) di tecnologia e competenza, progettato per match che vanno oltre l'eccellenza. Con le nostre soluzioni tecnologiche proprietarie, acceleriamo ed efficientiamo il processo di selezione, liberandolo da rallentamenti ed errori. Questo ci rende anche una vera e propria guida per talenti, che accompagniamo verso le opportunità più affini alle proprie caratteristiche e aspettative.


    Cosa ci facciamo qui 👀

    Oltre a garantire match perfetti a te, aiutiamo in tutti i modi le aziende a scovare i talenti più affini al proprio DNA, assicurando una perfetta compatibilità di skill, aspettative, aspirazioni e valori. Vogliamo assicurare soddisfazione e gratificazione sia ai talenti, che alle aziende.


    ⭐ L’opportunità

    • Posizione: Senior Data Scientist
    • Seniority: 5+ anni nel ruolo
    • Dove: Milano, in sede. Previsto 1 giorno di smartworking
    • Azienda di prodotto ambito robotica per settore industriale e healtcare


    💼 Le tue responsabilità includeranno…

    • Sviluppare, prototipare e distribuire algoritmi e modelli di intelligenza artificiale e apprendimento automatico per visione artificiale, PNL, previsione di serie temporali, rilevamento di anomalie e molti problemi personalizzati.
    • Eseguire analisi avanzate dei dati e generare informazioni utili che informano e migliorano soluzioni e applicazioni robotiche.
    • Lavorare a stretto contatto con team interfunzionali, tra cui ingegneria, sviluppo prodotto e gestione dei progetti, per allineare le iniziative di data science con gli obiettivi aziendali.
    • Rimani aggiornato con gli ultimi sviluppi nell'intelligenza artificiale e nell'apprendimento automatico, applicando tecniche innovative ai progetti attuali.
    • Perfezionare e ottimizzare i modelli per migliorare prestazioni, robustezza e scalabilità in contesti reali.


    💡 Potresti fare match con questa posizione se…

    • Laurea magistrale o dottorato di ricerca in Matematica, Ingegneria Matematica, Statistica, Fisica, Scienza dei Dati o un campo correlato.
    • Oltre 5 anni di esperienza pratica con algoritmi di intelligenza artificiale e apprendimento automatico (ad esempio LLM, reti neurali convoluzionali, reti neurali ricorrenti, XGBoost, ecc.)
    • Competenza in Python con una conoscenza approfondita dei framework e delle librerie di machine learning (ad esempio, Scikit-Learn, TensorFlow, PyTorch)
    • Esperienza con strumenti e piattaforme per big data (ad esempio Spark)
    • Avanzate capacità di analisi statistica e problem solving.
    • Eccellente capacità di spiegare concetti tecnici complessi sia a un pubblico tecnico che a un pubblico non tecnico
    • Eccellenti capacità comunicative e relazionali
    • Conoscenza della lingua inglese


    💶 Ma andiamo al sodo: ecco cosa ti offrono

    • Contratto a Tempo Indeterminato, assunzione diretta
    • Range RAL 40-50K


    Se pensi di essere il match perfetto per questa opportunità o conosci qualcuno che potrebbe esserlo, candidati subito oppure contattaci! 📩

    Proviamo a matchare? 🚀



    N.B. Ricorda di esplicitare nel CV il tuo consenso al trattamento dei dati personali, ai sensi del D.LGS. 196/03. La ricerca è egualmente rivolta a donne e uomini, in accordo con la normativa vigente (L.903/77).

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3997219882,https://it.linkedin.com/jobs/view/junior-data-analyst-scientist-at-skill-farm-3997219882?position=44&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=bKydUx3B3FucFDcMHkLYlQ%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Analyst/Scientist,Skill Farm,"Milan, Lombardy, Italy","Skill Farm Members Are Invited to Apply for the Following Role: + +Scopo e Attivitˆ + +Nell'ambito del perimetro della Direzione Data & Artificial Intelligence Office struttura all'interno dell'area di Governo Chief Data, A.I, and Technology Officer , siamo alla ricerca di un Junior Data Scientist che si occupi di sviluppo di soluzioni di Data Science e Artificial Intelligence in collaborazione con diverse aree aziendali al fine di migliroare le prestazioni commerciali e operative. + +Nel ruolo di Data Scientist, svilupperai nuovi modelli predittivi, monitorerai e migliorerai le prestazioni di quelli esistenti. + +Ti occuperai di: + +Collaborare con colleghi di diverse business unit. + +Ricercare ed esplorare diverse fonti dato per identificare quelle pi� adatte. + +Analizzare i dati, valutare la loro qualitˆ e scoprire i pattern nascosti. + +Eseguire un'appropriata feature engineering + +Ricercare e sperimentare vari modelli addestrandoli sui dati disponibili. + +Lavorare in team eterogenei composti da analtOyst, scientist, engineer e esperti di business. + +Gestire simultaneamente differenti attivitˆ. + +Collaborare con il team di Data Engineer per portare in produzione soluzioni prototipali. + +Esperienza Richiesta + +Fino a 2 anni di esperienza in ruoli analoghi. +Show more ","
    + + + + + +
    +
    + Skill Farm Members Are Invited to Apply for the Following Role:

    Scopo e Attivitˆ

    Nell'ambito del perimetro della Direzione Data & Artificial Intelligence Office struttura all'interno dell'area di Governo Chief Data, A.I, and Technology Officer , siamo alla ricerca di un Junior Data Scientist che si occupi di sviluppo di soluzioni di Data Science e Artificial Intelligence in collaborazione con diverse aree aziendali al fine di migliroare le prestazioni commerciali e operative.

    Nel ruolo di Data Scientist, svilupperai nuovi modelli predittivi, monitorerai e migliorerai le prestazioni di quelli esistenti.

    Ti occuperai di:

    Collaborare con colleghi di diverse business unit.

    Ricercare ed esplorare diverse fonti dato per identificare quelle pi� adatte.

    Analizzare i dati, valutare la loro qualitˆ e scoprire i pattern nascosti.

    Eseguire un'appropriata feature engineering

    Ricercare e sperimentare vari modelli addestrandoli sui dati disponibili.

    Lavorare in team eterogenei composti da analtOyst, scientist, engineer e esperti di business.

    Gestire simultaneamente differenti attivitˆ.

    Collaborare con il team di Data Engineer per portare in produzione soluzioni prototipali.

    Esperienza Richiesta

    Fino a 2 anni di esperienza in ruoli analoghi. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3993451631,https://it.linkedin.com/jobs/view/ai-engineer-at-bip-3993451631?position=45&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=pFSDjmcItm6JQae3tyn8pw%3D%3D&trk=public_jobs_jserp-result_search-card,AI Engineer,BIP,"Milan, Lombardy, Italy"," + +Entra nel nostro mondo. + +Trasforma insieme a noi. + +AI ENGINEER + +Quale sarà la tua sfida? + +Il nostro team di Artificial Intelligence Engineering si impegna a supportare i clienti nel percorso di adozione dell’intelligenza artificiale attraverso la realizzazione di factory di soluzioni di AI, azionabili e integrate nell'architettura e nei processi aziendali. + +La figura dell’AI Engineer progetta soluzioni software di Machine Learning (ML) scalabili per i casi d'uso dei clienti e le industrializza per l’esecuzione in produzione garantendo i livelli richiesti di performance, sicurezza e governabilità. + +L’AI Engineer lavora a stretto contatto con altre figure di Bip xTech, come Cloud Data Architects, Data Scientists e Data Engineer, per realizzare soluzioni ML di alta qualità sotto ogni aspetto: disegnando e implementando per il team strumenti di lavoro come le piattaforme di MLOps, fornendo linee guida e best practice sulle architetture dati e di AI, supportando l’implementazione del software e funzionalità di osservabilità dell’AI, e altro ancora. + +L’AI Engineer inoltre contribuirà alla Bip xTech Data Community con attività di ricerca, scouting tecnologico, concept di nuove soluzioni e sviluppo del business sui clienti di BIP. + +Le posizioni aperte riguardano profili sia junior che senior. + +Sarai tu a entrare nel nostro team? + + Requisiti fondamentali + + +Laurea specialistica in Ingegneria Informatica, Data Science, Informatica o discipline affini (STEM). +Esperienza nello sviluppo di software in almeno un linguaggio, come per esempio: Python, Scala, Java, e/o simili; +Esperienza nel disegno di soluzioni software e nell’implementazione di strutture dati, algoritmi; +Esperienza nell’utilizzo degli strumenti di Code Repository, come per esempio: GitHub, GitLab, Azure DevOps e/o simili. +Conoscenza dei concetti, algoritmi e metodologie di Machine Learning. +Esperienza con linguaggi SQL per il design, query e gestione dei database; esperienza nell’utilizzo di linguaggi SQL per le attività di ETL. +Indispensabile la conoscenza fluente di Italiano e Inglese professionali. + + +Plus + + +Esperienza nell’utilizzo delle principali piattaforme cloud (Google, AWS, Azure); +Conoscenza dei concetti e tecnologie di Big Data e Data Warehousing (esempio: Hadoop, Spark, Hive, Kafka); +Esperienza con framework e metodologie di Deep Learning (esempio: Tensorflow, PyTorch, HuggingFace Transformers, LangChain). +Conoscenza di framework di versionamento di dati e/o modelli (esempio: MLFlow, DVC, WanDB…). +Esperienza con framework di lavoro AGILE (esempio: Scrum, Kanban).  + + +Perchè Bip? + +People at the center of our culture + +Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone. + +Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti.  + +Challenge yourself + +Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco. + +Unlocking your potential + +Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti. + +Work-life Integration + +Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration. + +Diversity, Equity & Inclusion + +Valorizziamo l’unicità e ci impegniamo a garantire che tutti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro. + +Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi. + +Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –. + +Next Steps + +Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente. + +Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca. + +L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner. + +L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting. + +In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future. + +Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente. + +Su di Noi + +Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione. + +Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato. + +Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia. + +Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse. + + +Show more ","
    + + + + + +
    +
    +

    Entra nel nostro mondo.

    Trasforma insieme a noi.

    AI ENGINEER

    Quale sarà la tua sfida?

    Il nostro team di Artificial Intelligence Engineering si impegna a supportare i clienti nel percorso di adozione dell’intelligenza artificiale attraverso la realizzazione di factory di soluzioni di AI, azionabili e integrate nell'architettura e nei processi aziendali.

    La figura dell’AI Engineer progetta soluzioni software di Machine Learning (ML) scalabili per i casi d'uso dei clienti e le industrializza per l’esecuzione in produzione garantendo i livelli richiesti di performance, sicurezza e governabilità.

    L’AI Engineer lavora a stretto contatto con altre figure di Bip xTech, come Cloud Data Architects, Data Scientists e Data Engineer, per realizzare soluzioni ML di alta qualità sotto ogni aspetto: disegnando e implementando per il team strumenti di lavoro come le piattaforme di MLOps, fornendo linee guida e best practice sulle architetture dati e di AI, supportando l’implementazione del software e funzionalità di osservabilità dell’AI, e altro ancora.

    L’AI Engineer inoltre contribuirà alla Bip xTech Data Community con attività di ricerca, scouting tecnologico, concept di nuove soluzioni e sviluppo del business sui clienti di BIP.

    Le posizioni aperte riguardano profili sia junior che senior.

    Sarai tu a entrare nel nostro team?

     Requisiti fondamentali
    • Laurea specialistica in Ingegneria Informatica, Data Science, Informatica o discipline affini (STEM).
    • Esperienza nello sviluppo di software in almeno un linguaggio, come per esempio: Python, Scala, Java, e/o simili;
    • Esperienza nel disegno di soluzioni software e nell’implementazione di strutture dati, algoritmi;
    • Esperienza nell’utilizzo degli strumenti di Code Repository, come per esempio: GitHub, GitLab, Azure DevOps e/o simili.
    • Conoscenza dei concetti, algoritmi e metodologie di Machine Learning.
    • Esperienza con linguaggi SQL per il design, query e gestione dei database; esperienza nell’utilizzo di linguaggi SQL per le attività di ETL.
    • Indispensabile la conoscenza fluente di Italiano e Inglese professionali.


    Plus
    • Esperienza nell’utilizzo delle principali piattaforme cloud (Google, AWS, Azure);
    • Conoscenza dei concetti e tecnologie di Big Data e Data Warehousing (esempio: Hadoop, Spark, Hive, Kafka);
    • Esperienza con framework e metodologie di Deep Learning (esempio: Tensorflow, PyTorch, HuggingFace Transformers, LangChain).
    • Conoscenza di framework di versionamento di dati e/o modelli (esempio: MLFlow, DVC, WanDB…).
    • Esperienza con framework di lavoro AGILE (esempio: Scrum, Kanban). 


    Perchè Bip?

    People at the center of our culture

    Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone.

    Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti. 

    Challenge yourself

    Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco.

    Unlocking your potential

    Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti.

    Work-life Integration

    Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration.

    Diversity, Equity & Inclusion

    Valorizziamo l’unicità e ci impegniamo a garantire che tutti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro.

    Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi.

    Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –.

    Next Steps

    Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente.

    Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca.

    L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner.

    L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting.

    In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future.

    Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente.

    Su di Noi

    Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione.

    Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato.

    Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia.

    Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3986064198,https://it.linkedin.com/jobs/view/fluent-english-junior-python-developer-at-outstaff-your-team-3986064198?position=46&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=WGqQFYbgaNRpBJkuKMHs6w%3D%3D&trk=public_jobs_jserp-result_search-card,(Fluent English) Junior Python Developer,Outstaff Your Team,"Milan, Lombardy, Italy","Our team keeps expanding! We are looking for a fast-learning Junior Python Developer who loves Python and code quality to unlock the raw potential of Big Web Data. + +Product: + +SaaS products to transform the vast pool of web data from the open and dark web into structured web data feeds, ready for machines to consume. + +Progressive team: + +60+ qualified specialists, including developers, analysts, product managers, sales and customer support professionals. Your mentor is a Team Lead with solid experience in this area. + +Together We Will: + + +Develop efficient web scraping scripts for E-Commerce data extraction using Python; +Ensure high-quality data output through the identification and resolution of issues; +Troubleshoot and provide support for client-reported bugs and system problems; +Collaborate with team members, maintaining regular communication and escalating unresolved issues to the appropriate personnel; +Implement testing procedures for Python-based web scraping scripts + + + +Requirements + +What We Will Need: + + +Fluent written and spoken English; +1-2 years of commercial experience with Python coding and scripting; +Experience in code development with JavaScript, HTML & CSS; +Strong web scraping experience; +HTML structure knowledge (how to extract entities); +Hands-on experience with Linux; +Strong familiarity with GitHub; +Experience working with Relational Databases; +Ability to prioritize tasks; +Good documentation skills. + + + +Would Be a Plus: + + +Experience in Web crawling; +Network traffic understanding or experience; +Experience working with Non-relational Databases; +Understanding or experience with data collection, big data; +Experience in the field of E-commerce / News, blogs; +Ability to work for a common result; +Great sense of humor 🙂 + + + +Benefits + +We Offer: + + +Lots of interesting work with a Big Web Data solutions; +Compensation in USD; +International team; +Progressive product company with 7+ years in the IT market; +Schedule: Sunday to Thursday; +Fully remote +Show more ","
    + + + + + +
    +
    + Our team keeps expanding! We are looking for a fast-learning Junior Python Developer who loves Python and code quality to unlock the raw potential of Big Web Data.

    Product:

    SaaS products to transform the vast pool of web data from the open and dark web into structured web data feeds, ready for machines to consume.

    Progressive team:

    60+ qualified specialists, including developers, analysts, product managers, sales and customer support professionals. Your mentor is a Team Lead with solid experience in this area.

    Together We Will:

    • Develop efficient web scraping scripts for E-Commerce data extraction using Python;
    • Ensure high-quality data output through the identification and resolution of issues;
    • Troubleshoot and provide support for client-reported bugs and system problems;
    • Collaborate with team members, maintaining regular communication and escalating unresolved issues to the appropriate personnel;
    • Implement testing procedures for Python-based web scraping scripts


    Requirements

    What We Will Need:

    • Fluent written and spoken English;
    • 1-2 years of commercial experience with Python coding and scripting;
    • Experience in code development with JavaScript, HTML & CSS;
    • Strong web scraping experience;
    • HTML structure knowledge (how to extract entities);
    • Hands-on experience with Linux;
    • Strong familiarity with GitHub;
    • Experience working with Relational Databases;
    • Ability to prioritize tasks;
    • Good documentation skills.


    Would Be a Plus:

    • Experience in Web crawling;
    • Network traffic understanding or experience;
    • Experience working with Non-relational Databases;
    • Understanding or experience with data collection, big data;
    • Experience in the field of E-commerce / News, blogs;
    • Ability to work for a common result;
    • Great sense of humor 🙂


    Benefits

    We Offer:

    • Lots of interesting work with a Big Web Data solutions;
    • Compensation in USD;
    • International team;
    • Progressive product company with 7+ years in the IT market;
    • Schedule: Sunday to Thursday;
    • Fully remote
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-28,[] +3981363620,https://it.linkedin.com/jobs/view/python-developer-%E2%80%93-l-68-1999-at-datrix-embrace-the-ai-challenge-3981363620?position=48&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=Eyk4KK26nylzluP9X9yaMw%3D%3D&trk=public_jobs_jserp-result_search-card,Python Developer – L. 68/1999,Datrix | Embrace the AI Challenge,"Milan, Lombardy, Italy","Aramix è un'azienda italiana innovativa specializzata nella progettazione e implementazione di soluzioni di Intelligenza Artificiale su misura. I nostri clienti appartengono a molteplici settori tra cui vendita al dettaglio, telecomunicazioni, alimenti e bevande, petrolio e gas, finanza, ecc. Li supportiamo con tecniche di analisi dei dati all'avanguardia per raggiungere i loro obiettivi di business. + +Aramix fa parte del gruppo Datrix, un Gruppo italiano composto da 5 tech companies specializzate nella progettazione e implementazione di soluzioni B2B di Intelligenza Artificiale sostenibili, per la crescita delle imprese. + +Il gruppo Datrix è anche partner tecnologico di oltre 20 università e centri di ricerca internazionali per importanti progetti di ricerca e sviluppo. L’ambiente di lavoro è dinamico, flessibile ma soprattutto giovane: da noi le tue idee, esperienze e volontà di trovare soluzioni creative ed innovative fanno realmente la differenza. + +Aramix è alla ricerca di un motivato ed entusiasta Python Developer con esperienza in sviluppo di applicazioni python. + +Il candidato deve essere in grado di contribuire attivamente al pieno ciclo di sviluppo e consegna del progetto, inclusi raccolta dei requisiti, pianificazione del progetto, sviluppo del prototipo, implementazione, test e documentazione. + +La ricerca è focalizzata su un profilo rientrante nelle categorie protette ovvero iscritte nelle liste della L. 68/1999. + +Le responsabilità della figura saranno: + + +Progettare, sviluppare e mantenere soluzioni innovative; +Sviluppare il codice secondo una metodologia di sviluppo test-driven; +Partecipazione a riunioni tecniche e operative; +Utilizzare e contribuire a manutenzione ed aggiornamento di pipeline di continuous integration and deploy. + + +Requisiti + +Le competenze essenziali per un inserimento ottimale in azienda sono: + + +Conoscenza del linguaggio Python e della programmazione a oggetti; +Conoscenza dei database SQL e NoSQL, inclusi MySQL, Google BigQuery e MongoDB; +Conoscenza di almeno uno dei framework Fastapi (preferito), Flask o Django; +Esperienza pregressa nell'utilizzo dei sistemi operativi Linux; +Esperienza nell’utilizzo di Docker; +Conoscenza fluente della lingua inglese (scritta e parlata); +E’ un plus la conoscenza delle librerie per il machine learning e l’intelligenza artificiale (pandas, scikit-learn, pytorch, tensorflow, langchain, ecc…). + + +Benefit + +Per la posizione prevediamo un contratto di assunzione a tempo indeterminato con un inquadramento al livello 5^ del CCNL terziario e servizi, con una Retribuzione Annua Lorda fino a € 30.000, in base alle caratteristiche riscontrate nel candidato. Inoltre, nell’ottica dei principi di lavoro agile, viene stabilita in aggiunta alla RAL una parte di retribuzione variabile pari al 10% della RAL che dipende da obiettivi aziendali e personali, assegnati dal proprio manager all’inizio dell’anno o del rapporto di lavoro. + +Il pacchetto aziendale prevede: + + +PC aziendale per un miglior svolgimento delle attività richieste; +“100% smart working policy”: avrai la possibilità di scegliere, senza giorni minimi di presenza, quando lavorare presso i nostri uffici a Milano, compatibilmente alle esigenze organizzative, e quando a lavorare da casa; +Ticket Restaurant nominativi per ogni giornata lavorata, del valore ciascuno di €8,00. +Show more ","
    + + + + + +
    +
    + Aramix è un'azienda italiana innovativa specializzata nella progettazione e implementazione di soluzioni di Intelligenza Artificiale su misura. I nostri clienti appartengono a molteplici settori tra cui vendita al dettaglio, telecomunicazioni, alimenti e bevande, petrolio e gas, finanza, ecc. Li supportiamo con tecniche di analisi dei dati all'avanguardia per raggiungere i loro obiettivi di business.

    Aramix fa parte del gruppo Datrix, un Gruppo italiano composto da 5 tech companies specializzate nella progettazione e implementazione di soluzioni B2B di Intelligenza Artificiale sostenibili, per la crescita delle imprese.

    Il gruppo Datrix è anche partner tecnologico di oltre 20 università e centri di ricerca internazionali per importanti progetti di ricerca e sviluppo. L’ambiente di lavoro è dinamico, flessibile ma soprattutto giovane: da noi le tue idee, esperienze e volontà di trovare soluzioni creative ed innovative fanno realmente la differenza.

    Aramix è alla ricerca di un motivato ed entusiasta Python Developer con esperienza in sviluppo di applicazioni python.

    Il candidato deve essere in grado di contribuire attivamente al pieno ciclo di sviluppo e consegna del progetto, inclusi raccolta dei requisiti, pianificazione del progetto, sviluppo del prototipo, implementazione, test e documentazione.

    La ricerca è focalizzata su un profilo rientrante nelle categorie protette ovvero iscritte nelle liste della L. 68/1999.

    Le responsabilità della figura saranno:

    • Progettare, sviluppare e mantenere soluzioni innovative;
    • Sviluppare il codice secondo una metodologia di sviluppo test-driven;
    • Partecipazione a riunioni tecniche e operative;
    • Utilizzare e contribuire a manutenzione ed aggiornamento di pipeline di continuous integration and deploy.

    Requisiti

    Le competenze essenziali per un inserimento ottimale in azienda sono:

    • Conoscenza del linguaggio Python e della programmazione a oggetti;
    • Conoscenza dei database SQL e NoSQL, inclusi MySQL, Google BigQuery e MongoDB;
    • Conoscenza di almeno uno dei framework Fastapi (preferito), Flask o Django;
    • Esperienza pregressa nell'utilizzo dei sistemi operativi Linux;
    • Esperienza nell’utilizzo di Docker;
    • Conoscenza fluente della lingua inglese (scritta e parlata);
    • E’ un plus la conoscenza delle librerie per il machine learning e l’intelligenza artificiale (pandas, scikit-learn, pytorch, tensorflow, langchain, ecc…).

    Benefit

    Per la posizione prevediamo un contratto di assunzione a tempo indeterminato con un inquadramento al livello 5^ del CCNL terziario e servizi, con una Retribuzione Annua Lorda fino a € 30.000, in base alle caratteristiche riscontrate nel candidato. Inoltre, nell’ottica dei principi di lavoro agile, viene stabilita in aggiunta alla RAL una parte di retribuzione variabile pari al 10% della RAL che dipende da obiettivi aziendali e personali, assegnati dal proprio manager all’inizio dell’anno o del rapporto di lavoro.

    Il pacchetto aziendale prevede:

    • PC aziendale per un miglior svolgimento delle attività richieste;
    • “100% smart working policy”: avrai la possibilità di scegliere, senza giorni minimi di presenza, quando lavorare presso i nostri uffici a Milano, compatibilmente alle esigenze organizzative, e quando a lavorare da casa;
    • Ticket Restaurant nominativi per ogni giornata lavorata, del valore ciascuno di €8,00.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-23,[] +3967686023,https://it.linkedin.com/jobs/view/junior-%E2%80%93-ml-rpa-developer-%E2%80%93-risk-advisory-at-deloitte-3967686023?position=51&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=rv80oEb5jpWcD0t9hAxJgA%3D%3D&trk=public_jobs_jserp-result_search-card,Junior – ML & RPA Developer – Risk Advisory,Deloitte,"Milan, Lombardy, Italy","Stiamo cercando una figura Junior da inserire nel team Digital Controls CPP di Deloitte Risk Advisory per la sede di Milano e Roma che lavorerà in modalità Hybrid. + +Il business Digital Controls CPP si occupa di fornire servizi di Digital Transformation, che hanno l’obiettivo di supportare la digitalizzazione dei processi di business, mettendo in atto attività che prevedono l’utilizzo di strumenti di Robotic Process Automation, Data Analytics, Machine Learning e AI sfruttando i principali servizi messi a disposizione dai più importanti player del settore dell’automazione di processo e cloud. + +Your Role + +La risorsa Junior verrà inserita in un team di lavoro e si occuperà di: + + +Aiutare nella progettazione e design di soluzioni IT sia di tipo applicativo che di integrazione; +Porterà avanti attività di troubleshooting e reverse engineering su soluzioni già implementate; +Implementazione di nuovi processi di automazione a partire dall’analisi di requisiti di Business fino al rilascio in produzione dopo opportuni Unit e User Acceptance Test. + + +Winning Requirements + + +Laurea triennale in informatica o in un campo STEM correlato; +Esperienza su progettualità di trasformazione digitale e/o automazione di processo; +Forte predisposizione al problem solving e mentalità analitica; +Buona conoscenza della lingua inglese (scritta e parlata); +Conoscenza dei linguaggi C#, SQL, .Net’; +Ottime abilità comunicative nei confronti degli stakeholder di progetto (colleghi, cliente, etc.); +Voglia di imparare, propositività e capacità di teamworking. + + +Make An Impact That Matters + +Deloitte è un network leader nei servizi professionali alle imprese, presente in oltre 150 Paesi con 457 mila professionisti. Offriamo soluzioni innovative e sostenibili in Audit & Assurance, Consulting, Financial Advisory, Risk Advisory, Tax e Legal. Il nostro obiettivo è supportare le aziende nello sviluppo e nell'implementazione di strategie al passo con il mercato. + +In Deloitte la sostenibilità è un tema centrale. Per questo, attraverso le strategie e le progettualità legate alle tematiche Environmental, Social e Governance (ESG), ci impegniamo a promuovere una crescita responsabile, sostenibile e inclusiva per il Pianeta, le nostre persone e la società. Scopri di più sulle nostre strategie di Corporate Sustainability, tra cui Well-being, la strategia volta a migliorare il benessere fisico, mentale e sociale delle nostre persone, affinché siano felici e piene di energia in tutti gli ambiti della loro vita e WorldClimate, la strategia globale di Deloitte per diventare un’organizzazione Net Zero e per guidare scelte responsabili all’interno e all’esterno dell’organizzazione. + +Sei pront* a #MakeAnImpactThatMatter insieme? Candidati ora! + +Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del dlgs. 196/2003. La ricerca rispetta il d.lgs. 198/2006, il D.lgs. 215/03 e il D.lgs. 216/03 ed è aperta a candidat* di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. +Show more ","
    + + + + + +
    +
    + Stiamo cercando una figura Junior da inserire nel team Digital Controls CPP di Deloitte Risk Advisory per la sede di Milano e Roma che lavorerà in modalità Hybrid.

    Il business Digital Controls CPP si occupa di fornire servizi di Digital Transformation, che hanno l’obiettivo di supportare la digitalizzazione dei processi di business, mettendo in atto attività che prevedono l’utilizzo di strumenti di Robotic Process Automation, Data Analytics, Machine Learning e AI sfruttando i principali servizi messi a disposizione dai più importanti player del settore dell’automazione di processo e cloud.

    Your Role

    La risorsa Junior verrà inserita in un team di lavoro e si occuperà di:

    • Aiutare nella progettazione e design di soluzioni IT sia di tipo applicativo che di integrazione;
    • Porterà avanti attività di troubleshooting e reverse engineering su soluzioni già implementate;
    • Implementazione di nuovi processi di automazione a partire dall’analisi di requisiti di Business fino al rilascio in produzione dopo opportuni Unit e User Acceptance Test.

    Winning Requirements

    • Laurea triennale in informatica o in un campo STEM correlato;
    • Esperienza su progettualità di trasformazione digitale e/o automazione di processo;
    • Forte predisposizione al problem solving e mentalità analitica;
    • Buona conoscenza della lingua inglese (scritta e parlata);
    • Conoscenza dei linguaggi C#, SQL, .Net’;
    • Ottime abilità comunicative nei confronti degli stakeholder di progetto (colleghi, cliente, etc.);
    • Voglia di imparare, propositività e capacità di teamworking.

    Make An Impact That Matters

    Deloitte è un network leader nei servizi professionali alle imprese, presente in oltre 150 Paesi con 457 mila professionisti. Offriamo soluzioni innovative e sostenibili in Audit & Assurance, Consulting, Financial Advisory, Risk Advisory, Tax e Legal. Il nostro obiettivo è supportare le aziende nello sviluppo e nell'implementazione di strategie al passo con il mercato.

    In Deloitte la sostenibilità è un tema centrale. Per questo, attraverso le strategie e le progettualità legate alle tematiche Environmental, Social e Governance (ESG), ci impegniamo a promuovere una crescita responsabile, sostenibile e inclusiva per il Pianeta, le nostre persone e la società. Scopri di più sulle nostre strategie di Corporate Sustainability, tra cui Well-being, la strategia volta a migliorare il benessere fisico, mentale e sociale delle nostre persone, affinché siano felici e piene di energia in tutti gli ambiti della loro vita e WorldClimate, la strategia globale di Deloitte per diventare un’organizzazione Net Zero e per guidare scelte responsabili all’interno e all’esterno dell’organizzazione.

    Sei pront* a #MakeAnImpactThatMatter insieme? Candidati ora!

    Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del dlgs. 196/2003. La ricerca rispetta il d.lgs. 198/2006, il D.lgs. 215/03 e il D.lgs. 216/03 ed è aperta a candidat* di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3969042661,https://it.linkedin.com/jobs/view/data-science-consultant-italy-at-management-solutions-3969042661?position=52&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=4E52ogZmhtnTexT5QZbWwQ%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENCE CONSULTANT ITALY,Management Solutions,"Milan, Lombardy, Italy","Management Solutions is an international consulting firm whose core mission is to deliver business, risk, financial, organisational and process-related advisory services, targeting both functional aspects and the implementation of related technologies. We currently have a multidisciplinary team (functional, mathematical, technical and systems integration) of around 4,000 professionals. + + + + +We operate through 47 offices (21 in Europe, 22 in the Americas, 2 in Asia, 1 in Africa and 1 in Oceania) from where we regularly serve clients that operate in more than 50 countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania). + + + + +Role + +· Statistical data processing (data mining) + +· Predictive modeling using machine learning and data science techniques + +· Trend modeling (time series, ARIMA models) + +· Development of simulation models (Monte Carlo) + +· Review and validation of rating and scoring, RAROC and risk- parameter models + +· Mathematical support to the business: developing algorithms, statistics and probability models + +· R&D projects + + + + +We look for candidates like you + +- Recent graduates or final year + +- Postgraduate studies students from disciplines relating to Mathematics, Statistics, are an asset especially in Econometrics, Data Science, Big Data Science, Quantitative Data, Mathematical Finance, Finance or similar. Quantitative Methods, Financial + +- Knowledge of other Mathematics, Physics… languages desirable. + +- Should desirably have + +- Get-up-and-go attitude, knowledge of maturity, responsibility modeling techniques (logit, GLM, and strong work ethic. time trees, random forests, + +- Strong ability to learn clustering) statistical programming quickly.languages (SAS, R, Python, Matlab) + +- Able to integrate easily and big data tools (Hadoop, Hive, into multidisciplinary etc). teams. + +- Solid academic record. + +- Strong computer skills. + + + + +What we offer + +We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: + + + + +- Working in the highest-profile consulting projects in the industry, + +- for the largest companies, leaders of their respective markets, + +- alongside top industry management as they face challenges at the national and global level, + +- as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry. + + + + +Training + +- Ongoing training plan, with approximately 10% of business turnover spent on training. + +- Specialist knowledge courses, external expert courses, professional skills + +courses and language courses. + +- Last year our staff as a whole received over 330,000 hours of training + +spanning more than 750 courses. + + + + +Career plan + +- Clearly defined career plan. + +- Internal promotion based solely on merit. + +- Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners. + + + + +Complementary activities + +- University: we maintain a close relationship with the world’s most prestigious universities. + +- Social Action: we organize more than 30 community support activities. + +- Sports Club: internal and external tournaments. + + + + +________________________________________________________________________________________ + + + + +Il tuo ruolo + +• Elaborazione statistica dei dati (data mining). + +• Costruzione di modelli predittivi utilizzando tecniche di machine learning e data science. + +• Modellazione dei Trend (serie temporali, modelli ARIMA). + +• Sviluppo di modelli di simulazione (Monte Carlo). + +• Revisione e convalida di modelli di rating e scoring, RAROC e parametri di rischio. + +• Supporto matematico al business: sviluppo di algoritmi, analisi statistiche e modelli probabilistici. + +• Progetti di R&S. + + + + +Cerchiamo candidati come te + +- Neolaureato o studente all’ultimo anno in discipline relative a Matematica, Statistica, Econometria, Data Science, Big Data, Matematica Finanziaria e Fisica. + +- La conoscenza di tecniche di modellazione (logit, GLM, serie temporali, random forests, clustering), linguaggi di programmazione statistica (SAS, R, Python, Matlab) e strumenti di big data (Hadoop, Hive, etc.) è auspicabile. + +- Solido percorso accademico. + +- Corsi Post Laurea e/o corsi di specializzazione sono un plus, specialmente in Data Science, Finanza Quantitativa o simili. + +- La conoscenza di altre lingue è auspicabile. + +- Attitudine proattiva, maturità e responsabilità oltre a una forte etica del lavoro. + +- Forte propensione all’apprendimento rapido. + +- Abilità di integrarsi facilmente in team multi-disciplinari. + +- Solide computer skills. + + + + +Cosa offriamo + +Ti offriamo la possibilità di entrare a far parte di un'azienda che fornisce tutto il necessario per sviluppare al massimo il tuo talento: + +- Lavorare nei progetti di consulenza di più alto profilo del settore, + +- per le più grandi aziende, leader dei loro rispettivi mercati, + +- al fianco dei top manager del settore mentre affrontano le sfide a livello nazionale e globale, + +- come parte di uno straordinario team di professionisti, i cui valori e la cui cultura aziendale sono un punto di riferimento per il settore. + + + + +Formazione + +- Piano di formazione continua, con circa il 10% del fatturato aziendale speso in attività di formazione. + +- Corsi di conoscenza specialistica, corsi esterni specialisti, corsi per l’acquisizione di abilità professionali e corsi di lingua. + +- Lo scorso anno tutto il nostro personale ha ricevuto oltre 330.000 ore di formazione per un totale di +750 corsi. + + + + +Piani di carriera + +- Piano di carriera ben definito. + +- Promozione interna basata esclusivamente sul merito. + +- Il modello di gestione basato sulla partnership offre a tutti i professionisti l'opportunità di entrare a far parte del gruppo dei partner della società. + + + + +Attività complementari + +- Università: manteniamo un rapporto stretto con le università più prestigiose del mondo. + +- Azione Sociale: organizziamo +30 attività di sostegno alla comunità. + +- Sports Club: organizziamo tornei interni ed esterni. + +Show more ","
    + + + + + +
    +
    +

    Management Solutions is an international consulting firm whose core mission is to deliver business, risk, financial, organisational and process-related advisory services, targeting both functional aspects and the implementation of related technologies. We currently have a multidisciplinary team (functional, mathematical, technical and systems integration) of around 4,000 professionals.


    We operate through 47 offices (21 in Europe, 22 in the Americas, 2 in Asia, 1 in Africa and 1 in Oceania) from where we regularly serve clients that operate in more than 50 countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania).


    Role

    · Statistical data processing (data mining)

    · Predictive modeling using machine learning and data science techniques

    · Trend modeling (time series, ARIMA models)

    · Development of simulation models (Monte Carlo)

    · Review and validation of rating and scoring, RAROC and risk- parameter models

    · Mathematical support to the business: developing algorithms, statistics and probability models

    · R&D projects


    We look for candidates like you

    - Recent graduates or final year

    - Postgraduate studies students from disciplines relating to Mathematics, Statistics, are an asset especially in Econometrics, Data Science, Big Data Science, Quantitative Data, Mathematical Finance, Finance or similar. Quantitative Methods, Financial

    - Knowledge of other Mathematics, Physics… languages desirable.

    - Should desirably have

    - Get-up-and-go attitude, knowledge of maturity, responsibility modeling techniques (logit, GLM, and strong work ethic. time trees, random forests,

    - Strong ability to learn clustering) statistical programming quickly.languages (SAS, R, Python, Matlab)

    - Able to integrate easily and big data tools (Hadoop, Hive, into multidisciplinary etc). teams.

    - Solid academic record.

    - Strong computer skills.


    What we offer

    We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest:


    - Working in the highest-profile consulting projects in the industry,

    - for the largest companies, leaders of their respective markets,

    - alongside top industry management as they face challenges at the national and global level,

    - as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry.


    Training

    - Ongoing training plan, with approximately 10% of business turnover spent on training.

    - Specialist knowledge courses, external expert courses, professional skills

    courses and language courses.

    - Last year our staff as a whole received over 330,000 hours of training

    spanning more than 750 courses.


    Career plan

    - Clearly defined career plan.

    - Internal promotion based solely on merit.

    - Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners.


    Complementary activities

    - University: we maintain a close relationship with the world’s most prestigious universities.

    - Social Action: we organize more than 30 community support activities.

    - Sports Club: internal and external tournaments.


    ________________________________________________________________________________________


    Il tuo ruolo

    • Elaborazione statistica dei dati (data mining).

    • Costruzione di modelli predittivi utilizzando tecniche di machine learning e data science.

    • Modellazione dei Trend (serie temporali, modelli ARIMA).

    • Sviluppo di modelli di simulazione (Monte Carlo).

    • Revisione e convalida di modelli di rating e scoring, RAROC e parametri di rischio.

    • Supporto matematico al business: sviluppo di algoritmi, analisi statistiche e modelli probabilistici.

    • Progetti di R&S.


    Cerchiamo candidati come te

    - Neolaureato o studente all’ultimo anno in discipline relative a Matematica, Statistica, Econometria, Data Science, Big Data, Matematica Finanziaria e Fisica.

    - La conoscenza di tecniche di modellazione (logit, GLM, serie temporali, random forests, clustering), linguaggi di programmazione statistica (SAS, R, Python, Matlab) e strumenti di big data (Hadoop, Hive, etc.) è auspicabile.

    - Solido percorso accademico.

    - Corsi Post Laurea e/o corsi di specializzazione sono un plus, specialmente in Data Science, Finanza Quantitativa o simili.

    - La conoscenza di altre lingue è auspicabile.

    - Attitudine proattiva, maturità e responsabilità oltre a una forte etica del lavoro.

    - Forte propensione all’apprendimento rapido.

    - Abilità di integrarsi facilmente in team multi-disciplinari.

    - Solide computer skills.


    Cosa offriamo

    Ti offriamo la possibilità di entrare a far parte di un'azienda che fornisce tutto il necessario per sviluppare al massimo il tuo talento:

    - Lavorare nei progetti di consulenza di più alto profilo del settore,

    - per le più grandi aziende, leader dei loro rispettivi mercati,

    - al fianco dei top manager del settore mentre affrontano le sfide a livello nazionale e globale,

    - come parte di uno straordinario team di professionisti, i cui valori e la cui cultura aziendale sono un punto di riferimento per il settore.


    Formazione

    - Piano di formazione continua, con circa il 10% del fatturato aziendale speso in attività di formazione.

    - Corsi di conoscenza specialistica, corsi esterni specialisti, corsi per l’acquisizione di abilità professionali e corsi di lingua.

    - Lo scorso anno tutto il nostro personale ha ricevuto oltre 330.000 ore di formazione per un totale di +750 corsi.


    Piani di carriera

    - Piano di carriera ben definito.

    - Promozione interna basata esclusivamente sul merito.

    - Il modello di gestione basato sulla partnership offre a tutti i professionisti l'opportunità di entrare a far parte del gruppo dei partner della società.


    Attività complementari

    - Università: manteniamo un rapporto stretto con le università più prestigiose del mondo.

    - Azione Sociale: organizziamo +30 attività di sostegno alla comunità.

    - Sports Club: organizziamo tornei interni ed esterni.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3989583338,https://it.linkedin.com/jobs/view/data-scientist-generative-ai-consultant-at-bid-company-3989583338?position=53&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=8bI81fSvfbbmfAoXnFTTlA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Generative AI Consultant,BID Company,"Milan, Lombardy, Italy","Siamo alla ricerca di un* Data Scientist Junior con un forte background informatico per unirsi al nostro team come Generative AI Consultant. Se sei appassionat* di intelligenza artificiale e desideri lavorare con le tecnologie più avanzate, questa potrebbe essere l'opportunità che fa per te! + + + + +🟢Chi siamo? + +Siamo BID Company, una società di consulenza giovane e innovativa in ambito Advanced Analytics e Intelligenza Artificiale. Abilitiamo decisioni trasformando i dati in informazioni di valore attraverso il talento delle persone e l’utilizzo dell’AI. Grazie alle competenze tecnologiche e statistiche, all'esperienza e alla conoscenza del mercato, mettiamo a disposizione soluzioni innovative per aiutare i nostri clienti a vincere le sfide di business. + + + + +🕵🏻Chi stiamo cercando? + +Laurea in Informatica, Ingegneria Informatica o campi affini. +Esperienza con Python e framework di Machine Learning (TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy, Matplotlib). +Conoscenza di AI Generativa, inclusi Large Language Models (LLM), meccanismi di Attenzione, Transformer, principali foundation model sul mercato, ChatGPT, prompting e tecniche di prompting. + + + + +🚀 Nice to have + +Familiarità con un ambiente cloud, preferibilmente AWS. +Conoscenza di Docker e sviluppo di applicazioni containerizzate. +Esperienza con LangChain e API di OpenAI. + + + + +☑️ Responsabilità + +Sviluppare e implementare soluzioni di intelligenza artificiale generativa. +Collaborare con team multidisciplinari per integrare modelli AI in progetti esistenti. +Monitorare e ottimizzare le performance dei modelli AI. +Condurre ricerche e sperimentazioni per migliorare le tecniche di prompting e l'efficacia dei modelli AI. + + + + +✨Che cosa aspettarti? + +Opportunità di lavorare su progetti innovativi e all'avanguardia. +Ambiente di lavoro dinamico e collaborativo +.Crescita professionale e formazione continua. + +La sede di lavoro è Milano. + +Siamo un'azienda meritocratica, diamo pari opportunità e apprezziamo la diversità. Non discriminiamo in base a etnia, colore, nazionalità di provenienza, sesso, orientamento sessuale, età, stato civile, o disabilità. + +BID Company tratta i dati nel rispetto della normativa GDPR. Candidandoti all’offerta di lavoro dichiari di aver preso visione all’informativa sulla privacy qui. + +Show more ","
    + + + + + +
    +
    +

    Siamo alla ricerca di un* Data Scientist Junior con un forte background informatico per unirsi al nostro team come Generative AI Consultant. Se sei appassionat* di intelligenza artificiale e desideri lavorare con le tecnologie più avanzate, questa potrebbe essere l'opportunità che fa per te!


    🟢Chi siamo?

    Siamo BID Company, una società di consulenza giovane e innovativa in ambito Advanced Analytics e Intelligenza Artificiale. Abilitiamo decisioni trasformando i dati in informazioni di valore attraverso il talento delle persone e l’utilizzo dell’AI. Grazie alle competenze tecnologiche e statistiche, all'esperienza e alla conoscenza del mercato, mettiamo a disposizione soluzioni innovative per aiutare i nostri clienti a vincere le sfide di business.


    🕵🏻Chi stiamo cercando?

    • Laurea in Informatica, Ingegneria Informatica o campi affini.
    • Esperienza con Python e framework di Machine Learning (TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy, Matplotlib).
    • Conoscenza di AI Generativa, inclusi Large Language Models (LLM), meccanismi di Attenzione, Transformer, principali foundation model sul mercato, ChatGPT, prompting e tecniche di prompting.


    🚀 Nice to have

    • Familiarità con un ambiente cloud, preferibilmente AWS.
    • Conoscenza di Docker e sviluppo di applicazioni containerizzate.
    • Esperienza con LangChain e API di OpenAI.


    ☑️ Responsabilità

    • Sviluppare e implementare soluzioni di intelligenza artificiale generativa.
    • Collaborare con team multidisciplinari per integrare modelli AI in progetti esistenti.
    • Monitorare e ottimizzare le performance dei modelli AI.
    • Condurre ricerche e sperimentazioni per migliorare le tecniche di prompting e l'efficacia dei modelli AI.


    ✨Che cosa aspettarti?

    • Opportunità di lavorare su progetti innovativi e all'avanguardia.
    • Ambiente di lavoro dinamico e collaborativo
    • .Crescita professionale e formazione continua.

    La sede di lavoro è Milano.

    Siamo un'azienda meritocratica, diamo pari opportunità e apprezziamo la diversità. Non discriminiamo in base a etnia, colore, nazionalità di provenienza, sesso, orientamento sessuale, età, stato civile, o disabilità.

    BID Company tratta i dati nel rispetto della normativa GDPR. Candidandoti all’offerta di lavoro dichiari di aver preso visione all’informativa sulla privacy qui.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +4002919177,https://it.linkedin.com/jobs/view/mr-clinical-research-scientist-southern-europe-at-ge-healthcare-4002919177?position=55&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=L4Yx2k2uLiiF2RH6apNMlQ%3D%3D&trk=public_jobs_jserp-result_search-card,MR Clinical Research Scientist - Southern Europe,GE HealthCare,"Milan, Lombardy, Italy","Job Description Summary + +As an MR Clinical Research Scientist, you will distinguish yourself through MR research collaboration. In close partnership with Southern European clinical and academic research partners - as well as GE Healthcare colleagues - you will be responsible for exploring, developing, and validating advanced MR imaging applications - ultimately driving their translation into product solutions. + +Job Description + +Essential Responsibilities + + +Leverage educational qualifications to develop and deliver new or improved MR applications. +Support MR research partners, with emphasis on key academic and clinical sites in Southern Europe. +Advise colleagues in Product Marketing and Applications on new technical and clinical innovations which can be developed into new products. Leverage expertise to move project initiatives forward +Assist in writing research proposals, journal publications, and technical documents. +Participate in customer presentations and scanner demonstrations. + + +Qualifications/Requirements + + +Ph.D. in Physics, Chemistry, Life Sciences, Computer Science, Biomedical/Electrical/Software Engineering, or related field +Demonstrated record of innovation and development +Strong regional (Spanish/Italian) language, oral and written communication skills. English fluency also required. +Can-do attitude. Flexible, intellectually curious, and able to work with cross-functional, global teams. +Quality, Compliance, and Continuous Improvement focus +Willingness to travel 30% of time. + + +Desired Characteristics + + +3+ years of experience in MR imaging research or closely related field +Experience in a clinical environment (e.g. radiology or cardiology department) +Experience in pulse sequence modification and/or recon programming +Programming experience in C/C++ +Experience with academic and/or clinical research collaborations +Candidates with MR experience in a specific application area (neuro, body, cardiac, vascular, msk) are especially welcome + + +Inclusion and Diversity + +GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. + +Behaviors + +We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity. + +Total Rewards + +Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. + +Additional Information + +Relocation Assistance Provided: No + + +Show more ","
    + + + + + +
    +
    + Job Description Summary

    As an MR Clinical Research Scientist, you will distinguish yourself through MR research collaboration. In close partnership with Southern European clinical and academic research partners - as well as GE Healthcare colleagues - you will be responsible for exploring, developing, and validating advanced MR imaging applications - ultimately driving their translation into product solutions.

    Job Description

    Essential Responsibilities

    • Leverage educational qualifications to develop and deliver new or improved MR applications.
    • Support MR research partners, with emphasis on key academic and clinical sites in Southern Europe.
    • Advise colleagues in Product Marketing and Applications on new technical and clinical innovations which can be developed into new products. Leverage expertise to move project initiatives forward
    • Assist in writing research proposals, journal publications, and technical documents.
    • Participate in customer presentations and scanner demonstrations.

    Qualifications/Requirements

    • Ph.D. in Physics, Chemistry, Life Sciences, Computer Science, Biomedical/Electrical/Software Engineering, or related field
    • Demonstrated record of innovation and development
    • Strong regional (Spanish/Italian) language, oral and written communication skills. English fluency also required.
    • Can-do attitude. Flexible, intellectually curious, and able to work with cross-functional, global teams.
    • Quality, Compliance, and Continuous Improvement focus
    • Willingness to travel 30% of time.

    Desired Characteristics

    • 3+ years of experience in MR imaging research or closely related field
    • Experience in a clinical environment (e.g. radiology or cardiology department)
    • Experience in pulse sequence modification and/or recon programming
    • Programming experience in C/C++
    • Experience with academic and/or clinical research collaborations
    • Candidates with MR experience in a specific application area (neuro, body, cardiac, vascular, msk) are especially welcome

    Inclusion and Diversity

    GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

    Behaviors

    We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

    Total Rewards

    Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

    Additional Information

    Relocation Assistance Provided: No

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3993450836,https://it.linkedin.com/jobs/view/data-scientist-generative-ai-specialist-at-bip-3993450836?position=56&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=aZouylgIordwa3ZbyISLlg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Generative AI Specialist,BIP,"Milan, Lombardy, Italy"," + +DATA SCIENTIST – GENERATIVE AI SPECIALIST + +Entra nel nostro mondo. + +Trasforma insieme a noi. + +Quale sarà la tua sfida? + +Bip ha creato all’interno del proprio Competence Centre “xTech” il più nutrito gruppo di Data Scientist in Italia (fonte: statistiche LinkedIn), e dall’Italia coordina anche i propri gruppi di Data Scientist locali presso le proprie sedi estere. + +Nell’ambito della continua crescita ed evoluzione di questo effervescente gruppo, che opera sui nostri clienti in tutti i settori, e ci ha consentito di introdurre l’Intelligenza Artificiale presso le realtà enterprise più importanti d’Italia, siamo alla ricerca sia di profili junior/intermediate (dai neolaureati a profili con almeno 2 anni di esperienza), sia profili middle-senior (dai 3 ai 6 anni di esperienza). La provenienza da società di consulenza direzionale o informatica sarà considerata un forte plus. + +Il/La Generative AI Specialist in Bip evolve non solo le proprie competenze nei modelli di Generative AI, ma anche la comprensione dei fenomeni legati al Business dei nostri Clienti e le proprie capacità di tradurli in soluzioni e poi di comunicare e utilizzare i risultati degli stessi per migliorare ed efficientare i processi. + +I/Le nostri/e Generative AI Specialists verranno introdotti in contesti progettuali dove per la maggior parte i dati sono non strutturati (testi, immagini, video, suoni) e il cui focus diventa la comprensione, il processamento e la generazione partendo da tali basi documentali altrimenti non processabili con le classiche tecniche di Data Science. + +I contesti progettuali spaziano dall’utilizzo di modelli pre-addestrati (es. LLM) fino all’addestramento di nuovi modelli di Generative AI passando dal fine-tuning e absorption learning da modelli commerciali. + +Oltre alle progettualità, ai/alle Generative AI Specialist sarà richiesto un contributo attivo per alimentare la Community con attività di ricerca, scouting, concept di nuove soluzioni e business development. + +Sarai tu ad entrare nel nostro team? + +Requisiti indispensabili: + + +Laurea Specialistica in Ingegneria Informatica, Ingegneria Matematica, Informatica, Statistica o discipline affini (STEM); +Forte approccio quantitativo e brillanti doti analitiche; +Passione e competenza in ambito data exploration, analisi dati e creazione di modelli: il nostro team disegna e sviluppa sistemi a supporto di decisioni strategiche per il business; +Competenze statistiche, di Data Mining, Machine Learning, Deep Learning; +Solida conoscenza e comprovata esperienza in programmazione e scripting Python +Esperienza con strumenti di version control (es. Git); +Conoscenza approfondita di database relazionali e di costrutti SQL e SQL Programming; +Conoscenza di database non relazionali (es. elasticsearch, mongodb, redis); +Conoscenza di database vettoriali (es. ChromaDB, QDrant, Pinecone, ...) +Conoscenza e l’utilizzo di API Cloud di Intelligenza Artificiale di almeno uno tra i principali cloud provider (Google, Microsoft, AWS) +Conoscenza tecniche di processamento dati non strutturati; +Conoscenza approfondita di Natural Language Processing (NLP), Computer Vision e relative tecniche (Text Categorization, Entity Extraction, Generation, Object Detection, Object Segmentation) +Esperienza su Reti Neurali, Convolutional Neural Network, Transformers; +Conoscenza di tecniche di Generative AI e dei principali Large Language Models (LLM) +Esperienza con tecniche di allenamento e fine-tuning di reti neurali (esempio: superconvergenza, PEFT, LORA, …) +Conoscenza delle principali librerie di processamento dati non strutturati (tensorflow, torch, pytorch) e repository di modelli (huggingface) +Conoscenza delle principali tecniche di prompting (es. one/few-shot, chain-of-thought) +Indispensabile la conoscenza fluente di italiano e inglese professionali + + +Plus: + + +Conoscenza di strumenti di containerizzazione (Docker, Kubernetes, etc) +Esperienza nello sviluppo e applicazione di modelli di Generative AI in contesti industriali +Esperienza nello sviluppo software e conoscenza approfondita del ciclo di vita del software +Conoscenza di framework di versionamento di dati e/o modelli (es.,  MLFlow, DVC) +Utilizzo di reti generative per la produzione controllata di contenuto (testo, immagini, video) +Sviluppo di Motori di Ricerca, Entity Extraction, Anomaly Detection su immagini +Conoscenza principali modelli di Explainable AI (SHAP, Lime, Anchors) +Esperienza con framework di lavoro AGILE (esempio: Scrum, Kanban). + + +Soft Skills: + + +Standing consulenziale +Ottime doti relazionali e comunicative +Orientamento al cliente e al raggiungimento degli obiettivi +Buona attitudine a lavorare in team +Precisione e stress tolerance nel rispetto delle scadenze + + +Perchè Bip? + +People at the center of our culture + +Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone. + +Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti.  + +Challenge yourself + +Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco. + +Unlocking your potential + +Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti. + +Work-life Integration + +Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration. + +Diversity, Equity & Inclusion + +Valorizziamo l’unicità e ci impegniamo a garantire che tutti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro. + +Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi. + +Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –. + +Next Steps + +Una volta ricevuto il tuo cv ci prendere +mo del tempo per valutarlo attentamente. + +Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca. + +L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner. + +L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting. + +In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future. + +Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente. + +Su di Noi + +Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione. + +Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato. + +Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia. + +Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse. + + +Show more ","
    + + + + + +
    +
    +

    DATA SCIENTIST – GENERATIVE AI SPECIALIST

    Entra nel nostro mondo.

    Trasforma insieme a noi.

    Quale sarà la tua sfida?

    Bip ha creato all’interno del proprio Competence Centre “xTech” il più nutrito gruppo di Data Scientist in Italia (fonte: statistiche LinkedIn), e dall’Italia coordina anche i propri gruppi di Data Scientist locali presso le proprie sedi estere.

    Nell’ambito della continua crescita ed evoluzione di questo effervescente gruppo, che opera sui nostri clienti in tutti i settori, e ci ha consentito di introdurre l’Intelligenza Artificiale presso le realtà enterprise più importanti d’Italia, siamo alla ricerca sia di profili junior/intermediate (dai neolaureati a profili con almeno 2 anni di esperienza), sia profili middle-senior (dai 3 ai 6 anni di esperienza). La provenienza da società di consulenza direzionale o informatica sarà considerata un forte plus.

    Il/La Generative AI Specialist in Bip evolve non solo le proprie competenze nei modelli di Generative AI, ma anche la comprensione dei fenomeni legati al Business dei nostri Clienti e le proprie capacità di tradurli in soluzioni e poi di comunicare e utilizzare i risultati degli stessi per migliorare ed efficientare i processi.

    I/Le nostri/e Generative AI Specialists verranno introdotti in contesti progettuali dove per la maggior parte i dati sono non strutturati (testi, immagini, video, suoni) e il cui focus diventa la comprensione, il processamento e la generazione partendo da tali basi documentali altrimenti non processabili con le classiche tecniche di Data Science.

    I contesti progettuali spaziano dall’utilizzo di modelli pre-addestrati (es. LLM) fino all’addestramento di nuovi modelli di Generative AI passando dal fine-tuning e absorption learning da modelli commerciali.

    Oltre alle progettualità, ai/alle Generative AI Specialist sarà richiesto un contributo attivo per alimentare la Community con attività di ricerca, scouting, concept di nuove soluzioni e business development.

    Sarai tu ad entrare nel nostro team?

    Requisiti indispensabili:
    • Laurea Specialistica in Ingegneria Informatica, Ingegneria Matematica, Informatica, Statistica o discipline affini (STEM);
    • Forte approccio quantitativo e brillanti doti analitiche;
    • Passione e competenza in ambito data exploration, analisi dati e creazione di modelli: il nostro team disegna e sviluppa sistemi a supporto di decisioni strategiche per il business;
    • Competenze statistiche, di Data Mining, Machine Learning, Deep Learning;
    • Solida conoscenza e comprovata esperienza in programmazione e scripting Python
    • Esperienza con strumenti di version control (es. Git);
    • Conoscenza approfondita di database relazionali e di costrutti SQL e SQL Programming;
    • Conoscenza di database non relazionali (es. elasticsearch, mongodb, redis);
    • Conoscenza di database vettoriali (es. ChromaDB, QDrant, Pinecone, ...)
    • Conoscenza e l’utilizzo di API Cloud di Intelligenza Artificiale di almeno uno tra i principali cloud provider (Google, Microsoft, AWS)
    • Conoscenza tecniche di processamento dati non strutturati;
    • Conoscenza approfondita di Natural Language Processing (NLP), Computer Vision e relative tecniche (Text Categorization, Entity Extraction, Generation, Object Detection, Object Segmentation)
    • Esperienza su Reti Neurali, Convolutional Neural Network, Transformers;
    • Conoscenza di tecniche di Generative AI e dei principali Large Language Models (LLM)
    • Esperienza con tecniche di allenamento e fine-tuning di reti neurali (esempio: superconvergenza, PEFT, LORA, …)
    • Conoscenza delle principali librerie di processamento dati non strutturati (tensorflow, torch, pytorch) e repository di modelli (huggingface)
    • Conoscenza delle principali tecniche di prompting (es. one/few-shot, chain-of-thought)
    • Indispensabile la conoscenza fluente di italiano e inglese professionali


    Plus:
    • Conoscenza di strumenti di containerizzazione (Docker, Kubernetes, etc)
    • Esperienza nello sviluppo e applicazione di modelli di Generative AI in contesti industriali
    • Esperienza nello sviluppo software e conoscenza approfondita del ciclo di vita del software
    • Conoscenza di framework di versionamento di dati e/o modelli (es.,  MLFlow, DVC)
    • Utilizzo di reti generative per la produzione controllata di contenuto (testo, immagini, video)
    • Sviluppo di Motori di Ricerca, Entity Extraction, Anomaly Detection su immagini
    • Conoscenza principali modelli di Explainable AI (SHAP, Lime, Anchors)
    • Esperienza con framework di lavoro AGILE (esempio: Scrum, Kanban).


    Soft Skills:
    • Standing consulenziale
    • Ottime doti relazionali e comunicative
    • Orientamento al cliente e al raggiungimento degli obiettivi
    • Buona attitudine a lavorare in team
    • Precisione e stress tolerance nel rispetto delle scadenze


    Perchè Bip?

    People at the center of our culture

    Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone.

    Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti. 

    Challenge yourself

    Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco.

    Unlocking your potential

    Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti.

    Work-life Integration

    Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration.

    Diversity, Equity & Inclusion

    Valorizziamo l’unicità e ci impegniamo a garantire che tutti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro.

    Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi.

    Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –.

    Next Steps

    Una volta ricevuto il tuo cv ci prendere
    mo del tempo per valutarlo attentamente.

    Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca.

    L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner.

    L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting.

    In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future.

    Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente.

    Su di Noi

    Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione.

    Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato.

    Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia.

    Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3993449841,https://it.linkedin.com/jobs/view/ai-engineer-google-at-bip-3993449841?position=58&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=%2F3aWLHerGOp792i5sqpRRg%3D%3D&trk=public_jobs_jserp-result_search-card,AI Engineer - Google,BIP,"Milan, Lombardy, Italy"," + +AI ENGINEER – GOOGLE   + +Quale sarà la tua sfida? + +Il nostro team di Artificial Intelligence Engineering, che lavora verticalmente su piattaforme Google Cloud (GCP), si impegna a supportare i clienti nel percorso di adozione dell’intelligenza artificiale attraverso la realizzazione di factory di soluzioni di AI, azionabili e integrate nell'architettura e nei processi aziendali. + +La figura dell’AI Engineer progetta soluzioni software di Machine Learning (ML) scalabili per i casi d'uso dei clienti e le industrializza per l’esecuzione in produzione garantendo i livelli richiesti di performance, sicurezza e governabilità. + +L’AI Engineer lavora a stretto contatto con altre figure di Bip xTech, come Cloud Data Architects, Data Scientists e Data Engineer, per realizzare soluzioni ML di alta qualità sotto ogni aspetto: disegnando e implementando per il team strumenti di lavoro come le piattaforme di MLOps, fornendo linee guida e best practise sulle architetture dati e di AI, supportando l’implementazione del software e funzionalità di osservabilità dell’AI, e altro ancora. + +Sarai tu a entrare nel nostro team? + + Requisiti fondamentali + + +Laurea specialistica in Ingegneria Informatica, Data Science, Informatica o discipline affini (STEM); +Esperienza nell’utilizzo della piattaforma Google Cloud; +Esperienza nello sviluppo di software in almeno un linguaggio, come per esempio: Python, Scala, Java, e/o simili; +Esperienza nel disegno di soluzioni software e nell’implementazione di strutture dati, algoritmi; +Esperienza nell’utilizzo degli strumenti di Code Repository, come per esempio: GitHub, GitLab, Azure DevOps e/o simili. +Conoscenza dei concetti, algoritmi e metodologie di Machine Learning. +Esperienza con linguaggi SQL per il design, query e gestione dei database; esperienza nell’utilizzo di linguaggi SQL per le attività di ETL. +Indispensabile la conoscenza fluente di Italiano e Inglese professionali. + + +Plus + + +Esperienza nell’utilizzo delle piattaforme cloud (esempio: Google, AWS, Azure); +Conoscenza dei concetti e tecnologie di Big Data e Data Warehousing (esempio: Hadoop, Spark, Hive, Kafka); +Esperienza con framework e metodologie di Deep Learning (esempio: Tensorflow, Torch, Caffe, Theano). + + +  + +Perchè Bip? + +People at the center of our culture + +Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone. + +Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti.  + +Challenge yourself + +Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco. + +Unlocking your potential + +Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti. + +Work-life Integration + +Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration. + +Diversity, Equity & Inclusion + +Valorizziamo l’unicità e ci impegniamo a garantire che tutti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro. + +Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi. + +Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –. + +Next Steps + +Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente. + +Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca. + +L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner. + +L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting. + +In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future. + +Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente. + +Su di Noi + +Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione. + +Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato. + +Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia. + +Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse. + + +Show more ","
    + + + + + +
    +
    +

    AI ENGINEER – GOOGLE  

    Quale sarà la tua sfida?

    Il nostro team di Artificial Intelligence Engineering, che lavora verticalmente su piattaforme Google Cloud (GCP), si impegna a supportare i clienti nel percorso di adozione dell’intelligenza artificiale attraverso la realizzazione di factory di soluzioni di AI, azionabili e integrate nell'architettura e nei processi aziendali.

    La figura dell’AI Engineer progetta soluzioni software di Machine Learning (ML) scalabili per i casi d'uso dei clienti e le industrializza per l’esecuzione in produzione garantendo i livelli richiesti di performance, sicurezza e governabilità.

    L’AI Engineer lavora a stretto contatto con altre figure di Bip xTech, come Cloud Data Architects, Data Scientists e Data Engineer, per realizzare soluzioni ML di alta qualità sotto ogni aspetto: disegnando e implementando per il team strumenti di lavoro come le piattaforme di MLOps, fornendo linee guida e best practise sulle architetture dati e di AI, supportando l’implementazione del software e funzionalità di osservabilità dell’AI, e altro ancora.

    Sarai tu a entrare nel nostro team?

     Requisiti fondamentali
    • Laurea specialistica in Ingegneria Informatica, Data Science, Informatica o discipline affini (STEM);
    • Esperienza nell’utilizzo della piattaforma Google Cloud;
    • Esperienza nello sviluppo di software in almeno un linguaggio, come per esempio: Python, Scala, Java, e/o simili;
    • Esperienza nel disegno di soluzioni software e nell’implementazione di strutture dati, algoritmi;
    • Esperienza nell’utilizzo degli strumenti di Code Repository, come per esempio: GitHub, GitLab, Azure DevOps e/o simili.
    • Conoscenza dei concetti, algoritmi e metodologie di Machine Learning.
    • Esperienza con linguaggi SQL per il design, query e gestione dei database; esperienza nell’utilizzo di linguaggi SQL per le attività di ETL.
    • Indispensabile la conoscenza fluente di Italiano e Inglese professionali.


    Plus
    • Esperienza nell’utilizzo delle piattaforme cloud (esempio: Google, AWS, Azure);
    • Conoscenza dei concetti e tecnologie di Big Data e Data Warehousing (esempio: Hadoop, Spark, Hive, Kafka);
    • Esperienza con framework e metodologie di Deep Learning (esempio: Tensorflow, Torch, Caffe, Theano).


     

    Perchè Bip?

    People at the center of our culture

    Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone.

    Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti. 

    Challenge yourself

    Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco.

    Unlocking your potential

    Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti.

    Work-life Integration

    Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration.

    Diversity, Equity & Inclusion

    Valorizziamo l’unicità e ci impegniamo a garantire che tutti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro.

    Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi.

    Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –.

    Next Steps

    Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente.

    Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca.

    L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner.

    L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting.

    In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future.

    Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente.

    Su di Noi

    Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione.

    Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato.

    Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia.

    Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3989389765,https://it.linkedin.com/jobs/view/data-scientist-bidding-dispatching-at-a2a-3989389765?position=59&pageNum=0&refId=AJTTYaazsn09RPXpsFGrLg%3D%3D&trackingId=5wt25ZVEABZaoTnPsJEtIQ%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST - BIDDING & DISPATCHING,A2A,"Milan, Lombardy, Italy","Chi cerchiamo + +Per la nostra sede di Milano siamo alla ricerca di una persona da inserire come Data Scientist - Bidding & Dispatching all’interno della struttura Modelli e Algoritmi di Programmazione e Dispacciamento struttura che ha lo scopo di implementare e presidiare l'evoluzione dei modelli e degli algoritmi a supporto della programmazione di breve e medio termine e del dispacciamento degli impianti idroelettrici, termoelettrici e rinnovabili. + +Per quale Business Unit + +L’inserimento è previsto all’interno della Business Unit Generazione & Trading, la cui attività è relativa alla gestione del portafoglio impianti di generazione del Gruppo con il duplice scopo di massimizzare la disponibilità e l’efficienza degli impianti, minimizzando i costi di esercizio e manutenzione (O&M) e di massimizzare il profitto derivante dalla gestione del portafoglio energetico attraverso l’attività di compravendita di energia elettrica, di combustibili (gassosi e non gassosi) e di titoli ambientali sui mercati all’ingrosso nazionali ed esteri. + +Rientra nell’ambito della Business Unit anche l’attività di trading sui mercati nazionali ed esteri di tutte le commodity energetiche (gas, energia elettrica, titoli ambientali). + +Ti occuperai di + +Partecipazione attivamente nell’implementazione di modelli software di rappresentazione degli impianti idroelettrici, termoelettrici e a fonti rinnovabili del parco centrali della BU. +Sviluppare algoritmi finalizzati al supporto delle attività di bidding e alla realizzazione delle strategie di posizionamento sul mercato. +Analisi, elaborazione, sintesi e condivisione dei dati raccolti. +Raccogliere ed organizzare i dati storici di impianti e mercati. +Studiare e analizzare le evoluzioni normative dei mercati elettrici (ARERA, Terna, GME). +Modellistica e supporto per migliorare il dispacciamento degli impianti. + + + + +Sei la persona giusta se ti riconosci in questo profilo + +Laurea in Matematica, Fisica o Ingegneria matematica. +Preferibile esperienza pregressa di 1 o 2 anni come Business Analyst o Data Analyst. +Interesse per il mondo energy/ambiente/sostenibilità. +Ottima conoscenza del pacchetto Office (Excel e VBA) +Costituisce titolo preferenziale la conoscenza di linguaggi di programmazione (es. Matlab, Python). +Buona conoscenza della lingua inglese. +Completano il profilo: capacità di analisi e attitudine al problem solving + + + + +Saranno valutate esclusivamente le candidature inviate tramite il Sito Carriere aziendale. + +Ci impegniamo ogni giorno per creare un ambiente di lavoro inclusivo e innovativo, fondato sul rispetto, sull’etica e sulle pari opportunità garantendo la valorizzazione delle diversità. + +La selezione è rivolta a candidati e candidate in linea con le competenze richieste. I dati personali raccolti verranno trattati nel rispetto del Regolamento Ue 2016/679 (GDPR). + +Scopri di più sul Gruppo a2a: + +https://www.gruppoa2a.it/it/carriere/nostre-persone + +https://www.gruppoa2a.it/it/carriere/formazione + +https://www.gruppoa2a.it/it/carriere/benefit-welfare + +https://www.gruppoa2a.it/it/carriere/nostre-career-areas + +https://www.gruppoa2a.it/it/carriere/diversity + +Per conoscere il nostro processo di selezione e prepararti al meglio al colloquio: + +https://www.gruppoa2a.it/it/carriere/processo-selezione + +https://content.gruppoa2a.it/sites/default/files/2023-03/consigli-iter-selezione.pdf + +Show more ","
    + + + + + +
    +
    +

    Chi cerchiamo

    Per la nostra sede di Milano siamo alla ricerca di una persona da inserire come Data Scientist - Bidding & Dispatching all’interno della struttura Modelli e Algoritmi di Programmazione e Dispacciamento struttura che ha lo scopo di implementare e presidiare l'evoluzione dei modelli e degli algoritmi a supporto della programmazione di breve e medio termine e del dispacciamento degli impianti idroelettrici, termoelettrici e rinnovabili.

    Per quale Business Unit

    L’inserimento è previsto all’interno della Business Unit Generazione & Trading, la cui attività è relativa alla gestione del portafoglio impianti di generazione del Gruppo con il duplice scopo di massimizzare la disponibilità e l’efficienza degli impianti, minimizzando i costi di esercizio e manutenzione (O&M) e di massimizzare il profitto derivante dalla gestione del portafoglio energetico attraverso l’attività di compravendita di energia elettrica, di combustibili (gassosi e non gassosi) e di titoli ambientali sui mercati all’ingrosso nazionali ed esteri.

    Rientra nell’ambito della Business Unit anche l’attività di trading sui mercati nazionali ed esteri di tutte le commodity energetiche (gas, energia elettrica, titoli ambientali).

    Ti occuperai di

    • Partecipazione attivamente nell’implementazione di modelli software di rappresentazione degli impianti idroelettrici, termoelettrici e a fonti rinnovabili del parco centrali della BU.
    • Sviluppare algoritmi finalizzati al supporto delle attività di bidding e alla realizzazione delle strategie di posizionamento sul mercato.
    • Analisi, elaborazione, sintesi e condivisione dei dati raccolti.
    • Raccogliere ed organizzare i dati storici di impianti e mercati.
    • Studiare e analizzare le evoluzioni normative dei mercati elettrici (ARERA, Terna, GME).
    • Modellistica e supporto per migliorare il dispacciamento degli impianti.


    Sei la persona giusta se ti riconosci in questo profilo

    • Laurea in Matematica, Fisica o Ingegneria matematica.
    • Preferibile esperienza pregressa di 1 o 2 anni come Business Analyst o Data Analyst.
    • Interesse per il mondo energy/ambiente/sostenibilità.
    • Ottima conoscenza del pacchetto Office (Excel e VBA)
    • Costituisce titolo preferenziale la conoscenza di linguaggi di programmazione (es. Matlab, Python).
    • Buona conoscenza della lingua inglese.
    • Completano il profilo: capacità di analisi e attitudine al problem solving


    Saranno valutate esclusivamente le candidature inviate tramite il Sito Carriere aziendale.

    Ci impegniamo ogni giorno per creare un ambiente di lavoro inclusivo e innovativo, fondato sul rispetto, sull’etica e sulle pari opportunità garantendo la valorizzazione delle diversità.

    La selezione è rivolta a candidati e candidate in linea con le competenze richieste. I dati personali raccolti verranno trattati nel rispetto del Regolamento Ue 2016/679 (GDPR).

    Scopri di più sul Gruppo a2a:

    https://www.gruppoa2a.it/it/carriere/nostre-persone

    https://www.gruppoa2a.it/it/carriere/formazione

    https://www.gruppoa2a.it/it/carriere/benefit-welfare

    https://www.gruppoa2a.it/it/carriere/nostre-career-areas

    https://www.gruppoa2a.it/it/carriere/diversity

    Per conoscere il nostro processo di selezione e prepararti al meglio al colloquio:

    https://www.gruppoa2a.it/it/carriere/processo-selezione

    https://content.gruppoa2a.it/sites/default/files/2023-03/consigli-iter-selezione.pdf

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +3955326241,https://it.linkedin.com/jobs/view/data-scientist-at-iliad-3955326241?position=1&pageNum=2&refId=a4Q5gfcvUJzQ3IRGw7N50A%3D%3D&trackingId=aaHGsgRnJBofdRT2Jm8dbA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,iliad,"Milan, Lombardy, Italy","In qualità di Data Scientist farai parte del team di Business Intelligence, e sarai responsabile di tradurre i dati in insight utili per supportare le strategie di business e l'analisi delle performance aziendali. + +Nello specifico ti occuperai delle seguenti attività: + +Comprendere le sfide di business per supportare i vari team nelle loro esigenze sui dati. +Utilizzare differenti tecniche di analisi dei dati e machine learning per la generazione di insight sul comportamento degli utenti, rispondere alle principali domande del business e la creazione di modelli predittivi. +Tradurre le domande di business in approcci analitici con l’obiettivo di produrre risultati affidabili e solidi per supportare il processo decisionale. +Trasferire gli insight, sintetizzando i risultati in azioni concrete (next best action) + + + + +Requisiti + +Must have: + +Laurea in Ingegneria, Matematica, Statistica o affini. +Esperienza di 3-5 anni nell'analisi dei dati/data science. +Conoscenza delle tecniche di data mining, data cleaning, data wrangling e di machine learning (classification, clustering, deep learning). +Buona conoscenza di Python, dei database relazionali e della manipolazione di dati SQL . +Capacità di presentazione dei metodi e risultati dell'analisi. +Orientamento al business e al raggiungimento degli obiettivi. +Precisione e rispetto delle scadenze. +Buona conoscenza della lingua inglese. + +Nice to have: + +Conoscenza di strumenti e tecniche di business intelligence (Tableau, Tableau Prep) e data warehouse (Clickhouse). +Padronanza di Excel, VBA e del pacchetto Office in generale. +Precedente esperienza con ruoli analoghi nel settore Telco e/o nell’analisi del ciclo di vita del cliente. +Conoscenza della lingua francese. + + + + + + + +Altre informazioni + +Che cosa aspettarti da noi: + +Curiosità, ascolto, coraggio e spirito di iniziativa. Noi riassumiamo tutto questo in una parola: iliadness. +Lavoro flessibile, per davvero. Coordinandoti con il tuo manager, potrai sfruttare fino a 8 giorni al mese di lavoro da remoto. +Bello lavorare da remoto, ma ti innamorerai anche degli uffici iliad. Sono il nostro punto di riferimento per incontrarci e trovare sempre l’ispirazione giusta (oltre che tutto il caffè di cui hai bisogno). E nelle pause, calcetto e ping-pong come se piovesse. +Fare la Rivoluzione è un lavoro di squadra e per farlo bene, non ci stanchiamo mai di pensare a occasioni di incontro anche fuori dall’ufficio. +Percorsi di formazione pensati su misura per te +Bonus mobilità per ridurre ogni giorno l’impatto dei tuoi spostamenti casa-lavoro +Ticket giornalieri per pranzare fuori e fare la spesa, anche quando lavori da remoto +Contributo biennale per l’acquisto del tuo smartphone a tua scelta +Assicurazione sanitaria (per te e per il tuo nucleo familiare) e un network di convenzioni sempre più ricco + +Show more ","
    + + + + + +
    +
    +

    In qualità di Data Scientist farai parte del team di Business Intelligence, e sarai responsabile di tradurre i dati in insight utili per supportare le strategie di business e l'analisi delle performance aziendali.

    Nello specifico ti occuperai delle seguenti attività:

    • Comprendere le sfide di business per supportare i vari team nelle loro esigenze sui dati.
    • Utilizzare differenti tecniche di analisi dei dati e machine learning per la generazione di insight sul comportamento degli utenti, rispondere alle principali domande del business e la creazione di modelli predittivi.
    • Tradurre le domande di business in approcci analitici con l’obiettivo di produrre risultati affidabili e solidi per supportare il processo decisionale.
    • Trasferire gli insight, sintetizzando i risultati in azioni concrete (next best action)


    Requisiti

    Must have:

    • Laurea in Ingegneria, Matematica, Statistica o affini.
    • Esperienza di 3-5 anni nell'analisi dei dati/data science.
    • Conoscenza delle tecniche di data mining, data cleaning, data wrangling e di machine learning (classification, clustering, deep learning).
    • Buona conoscenza di Python, dei database relazionali e della manipolazione di dati SQL .
    • Capacità di presentazione dei metodi e risultati dell'analisi.
    • Orientamento al business e al raggiungimento degli obiettivi.
    • Precisione e rispetto delle scadenze.
    • Buona conoscenza della lingua inglese.

    Nice to have:

    • Conoscenza di strumenti e tecniche di business intelligence (Tableau, Tableau Prep) e data warehouse (Clickhouse).
    • Padronanza di Excel, VBA e del pacchetto Office in generale.
    • Precedente esperienza con ruoli analoghi nel settore Telco e/o nell’analisi del ciclo di vita del cliente.
    • Conoscenza della lingua francese.



    Altre informazioni

    Che cosa aspettarti da noi:

    • Curiosità, ascolto, coraggio e spirito di iniziativa. Noi riassumiamo tutto questo in una parola: iliadness.
    • Lavoro flessibile, per davvero. Coordinandoti con il tuo manager, potrai sfruttare fino a 8 giorni al mese di lavoro da remoto.
    • Bello lavorare da remoto, ma ti innamorerai anche degli uffici iliad. Sono il nostro punto di riferimento per incontrarci e trovare sempre l’ispirazione giusta (oltre che tutto il caffè di cui hai bisogno). E nelle pause, calcetto e ping-pong come se piovesse.
    • Fare la Rivoluzione è un lavoro di squadra e per farlo bene, non ci stanchiamo mai di pensare a occasioni di incontro anche fuori dall’ufficio.
    • Percorsi di formazione pensati su misura per te
    • Bonus mobilità per ridurre ogni giorno l’impatto dei tuoi spostamenti casa-lavoro
    • Ticket giornalieri per pranzare fuori e fare la spesa, anche quando lavori da remoto
    • Contributo biennale per l’acquisto del tuo smartphone a tua scelta
    • Assicurazione sanitaria (per te e per il tuo nucleo familiare) e un network di convenzioni sempre più ricco

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-13,[] +3998580832,https://it.linkedin.com/jobs/view/software-engineer-frontend-at-sky-italia-3998580832?position=2&pageNum=2&refId=a4Q5gfcvUJzQ3IRGw7N50A%3D%3D&trackingId=xzCEANcVkuxsG%2BDoJNEGIQ%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer - Frontend,Sky Italia,"Milan, Lombardy, Italy","Within the Customer Digital Channels Software Centre, Sky Italia, the first Italian media company and the European leader in entertainment, is seeking for a Frontend Software Engineer who can translate passion for great software into concrete value for our customers. + +We believe that day by day improvements, delivering the best customer experience, proactively solving customer problems is made possible by great people. + +As a member of a Sky Software Centre, the candidate will work in a complex, challenging and exciting enterprise level environment with a strong commitment towards results and collaboration. + +The Frontend Software Engineer will be responsible of developing, enhancing and maintaining Digital Products in order to fulfill all the business needs with the continuous support of our Software Engineers. + + + + +Key Responsibilities: + +Contribute to the architectural definition and its implementation, understanding requirements and issues to be solved, translating these into software solutions. +Develop, enhance and maintain software programs that compose the Digital Product landscape of Sky Italia. +Work within a team to continuously improve the software quality, following the best practices of SDLC. +Interact with the business stakeholders to understand the business needs and translate them in technical stories. +Help the innovation process, by exploring and evaluating new solutions though fast prototyping and proof of concepts that show the values of innovation. + + + + +Core competencies and qualifications: + +Good problem-solving skill, creative and proactive. +Good software engineering skills and experience with one of the following programming languages: Javascript, Typescript. +Experience with Angular and/or React. +Experience in unit and integration tests frameworks (Jest, Cypress). +Experience in developing real world, scalable and performant Single Page Applications. +Good awareness of best modern practices on software development lifecycle (git, code review, CI/CD, pipeline). + + + + +Bonus points: + +Ability to adapt to changing contexts (e.g. new programming languages). +Experience with SEO & performance friendly templates. +Experience with Storybook and Design System. +Good knowledge of Agile methodologies. + + + + +Soft Skills: + +Good relationship building, teamwork and collaboration skills. +Committed to develop a ""can-do"" culture. +Able to work in a fast-paced environment. +Good communication skills, both written and verbal (Italian and English). +Show more ","
    + + + + + +
    +
    +

    Within the Customer Digital Channels Software Centre, Sky Italia, the first Italian media company and the European leader in entertainment, is seeking for a Frontend Software Engineer who can translate passion for great software into concrete value for our customers.

    We believe that day by day improvements, delivering the best customer experience, proactively solving customer problems is made possible by great people.

    As a member of a Sky Software Centre, the candidate will work in a complex, challenging and exciting enterprise level environment with a strong commitment towards results and collaboration.

    The Frontend Software Engineer will be responsible of developing, enhancing and maintaining Digital Products in order to fulfill all the business needs with the continuous support of our Software Engineers.


    Key Responsibilities:

    • Contribute to the architectural definition and its implementation, understanding requirements and issues to be solved, translating these into software solutions.
    • Develop, enhance and maintain software programs that compose the Digital Product landscape of Sky Italia.
    • Work within a team to continuously improve the software quality, following the best practices of SDLC.
    • Interact with the business stakeholders to understand the business needs and translate them in technical stories.
    • Help the innovation process, by exploring and evaluating new solutions though fast prototyping and proof of concepts that show the values of innovation.


    Core competencies and qualifications:

    • Good problem-solving skill, creative and proactive.
    • Good software engineering skills and experience with one of the following programming languages: Javascript, Typescript.
    • Experience with Angular and/or React.
    • Experience in unit and integration tests frameworks (Jest, Cypress).
    • Experience in developing real world, scalable and performant Single Page Applications.
    • Good awareness of best modern practices on software development lifecycle (git, code review, CI/CD, pipeline).


    Bonus points:

    • Ability to adapt to changing contexts (e.g. new programming languages).
    • Experience with SEO & performance friendly templates.
    • Experience with Storybook and Design System.
    • Good knowledge of Agile methodologies.


    Soft Skills:

    • Good relationship building, teamwork and collaboration skills.
    • Committed to develop a ""can-do"" culture.
    • Able to work in a fast-paced environment.
    • Good communication skills, both written and verbal (Italian and English).
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-13,[] +4004157350,https://it.linkedin.com/jobs/view/data-scientist-at-skill-farm-4004157350?position=3&pageNum=2&refId=a4Q5gfcvUJzQ3IRGw7N50A%3D%3D&trackingId=16nXpRDTp8SHNb3rpJ60Bg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Skill Farm,"Milan, Lombardy, Italy","Skill Farm Members are invited to apply for the following role: + +Responsibilities: + + +Accountable for proof-of-concept product testing, product portfolio development, deployment and lifecycle management, interacting and coordinating a team of data scientist, data engineer, solution architect, data quality assurance and delivery manager. The scope includes project management responsibilities with focus on prioritization and time management, product performance management, innovation and rationalisation; +Create and own market requirements specifications and business cases for the product (s). Responsible for taking services through the Group and Italian Gating process; +Work in close relationship with key stakeholders in Italy (Big Data, Privacy & Legal, other Product Marketing squads, IT Technology and Network), Vodafone Group and external parties including suppliers and Business Partners; + + +Skills & Qualifications: + + +minimum 3-5 years experience in developing, implementing and maintaining Machine Learning /AI models and Optimization Algorithms. Previous experience in performing analytics on cloud platforms is required; +Technical Expert, with hands-on experience in cloud environments, Big Data Analytics landscape and architectures, ETL processes and statistics. Experience and knowledge of Spark, Python, GIS and Tableau is required; +Knowledge of process design and re-design methodologies, approaches and tools; +Past project management experiences with autonomy in delivering the project and proven ability to guide dev team members in improving their skill sets, motivate them and build the Analytics' Platform foundation for future growth with. Adoption of agile methodology is a plus; +Excellent communication skills, with the ability to present technical results to non-technical audiences. +Show more ","
    + + + + + +
    +
    + Skill Farm Members are invited to apply for the following role:

    Responsibilities:

    • Accountable for proof-of-concept product testing, product portfolio development, deployment and lifecycle management, interacting and coordinating a team of data scientist, data engineer, solution architect, data quality assurance and delivery manager. The scope includes project management responsibilities with focus on prioritization and time management, product performance management, innovation and rationalisation;
    • Create and own market requirements specifications and business cases for the product (s). Responsible for taking services through the Group and Italian Gating process;
    • Work in close relationship with key stakeholders in Italy (Big Data, Privacy & Legal, other Product Marketing squads, IT Technology and Network), Vodafone Group and external parties including suppliers and Business Partners;

    Skills & Qualifications:

    • minimum 3-5 years experience in developing, implementing and maintaining Machine Learning /AI models and Optimization Algorithms. Previous experience in performing analytics on cloud platforms is required;
    • Technical Expert, with hands-on experience in cloud environments, Big Data Analytics landscape and architectures, ETL processes and statistics. Experience and knowledge of Spark, Python, GIS and Tableau is required;
    • Knowledge of process design and re-design methodologies, approaches and tools;
    • Past project management experiences with autonomy in delivering the project and proven ability to guide dev team members in improving their skill sets, motivate them and build the Analytics' Platform foundation for future growth with. Adoption of agile methodology is a plus;
    • Excellent communication skills, with the ability to present technical results to non-technical audiences.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3983702692,https://it.linkedin.com/jobs/view/data-scientist-at-hrm-group-3983702692?position=4&pageNum=2&refId=a4Q5gfcvUJzQ3IRGw7N50A%3D%3D&trackingId=uV4fdli%2F20AYEg5Nk15q2Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,HRM Group,"Milan, Lombardy, Italy","Il Data Scientist in HRM + +si occuperà di attività di data engineering, data exploration e data preparation, oltre allo sviluppo di modelli di Machine Learning. Il ruolo prevede il deployment e il monitoring delle soluzioni, personalizzate secondo le esigenze specifiche. Sarà, inoltre, coinvolto nella realizzazione di modelli predittivi, e nella creazione di use cases di GenAI con LLM. Un altro compito fondamentale sarà lo sviluppo di API e script per rendere operativi i modelli in maniera continuativa. + +🌟Sei tu? + +Il nostro collega ideale, con almeno 5 anni di esperienza pregressa in ruolo analogo, dovrà possedere le seguenti caratteristiche: + + +Laurea magistrale in materie STEM +Conoscenza di Python +Conoscenza di SQL e delle principali tecniche di Machine Learning / Data Mining +Buona conoscenza della lingua inglese (livello B2) + + +Nice to have: + + +Preferibile esperienza su attività di sviluppo di modelli predittivi e/o utilizzo di LLM +Conoscenza dei moduli Python standard in ambito analytics (scikit-learn, pandas, numpy, ecc) +Conoscenza Reti Neurali e framework per loro implementazione +Conoscenza di framework BigData (Hadoop / Kafka / Spark / ecc) +Esperienza con tools di MLOps +Esperienza con strumenti di Business Intelligence (PowerBI, Board, ecc) +Conoscenza di unix, networking, docker, cloud + + +Competenze e capacità apprezzate: + + +Mentalità analitica +Capacità di problem solving +Propensione al lavoro in team + + +🌟Cosa offriamo? + + +🌐 Remote Working: Lavorare da casa con flessibilità e comfort. +🔄 Diversità dei Progetti: Opportunità di lavorare su progetti brevi, mantenendo sempre fresche e stimolanti le tue attività lavorative. +🏢 Welfare Contrattuale: Un budget di benefici contrattuali su misura. +🍽️ Buoni Pasto: Pasti garantiti ogni giorno di lavoro con i ticket elettronici. +💉 Fondo Sanitario Contrattuale: Protezione sanitaria completa per te e i tuoi famigliari a carico. +👥 Referral Program: Un programma di segnalazione senza limiti e per ogni nuovo collega che ci presenterai riceverai un premio. +📚 Training Personalizzato: Formazione su misura in base alle esigenze specifiche dei progetti su cui lavorerai. +🌴 Ferie e Permessi: 30 giorni complessivi tra ferie e permessi per goderti il tuo tempo libero. +💳 Convenzioni Esclusive: Sconti esclusivi per una vasta gamma di servizi, prodotti, viaggi, abbigliamento e tecnologia. + + +🌟Sei ancora interessato? + +Il nostro processo di selezione è rapido e coinvolgente, composto da: + + +Colloquio conoscitivo HR 🤝 +Un’opportunità per conoscerci meglio e scoprire più su di te. +Colloquio Tecnico 💻 +Un incontro con i responsabili di progetto per esplorare le tue competenze e i tuoi interessi. + +Se possiedi le caratteristiche giuste, il nostro responsabile HR sarà lieto di darti il benvenuto presentandoti la nostra offerta di collaborazione. + +🔍Vuoi saperne di più? + +Inviaci il tuo CV aggiornato e dettagliato con autorizzazione al trattamento dei dati personali ai sensi della Legge 196/03 e art.13 GDPR 679/13. 📄 + +Al resto ci pensiamo noi! 🚀 +Show more ","
    + + + + + +
    +
    + Il Data Scientist in HRM

    si occuperà di attività di data engineering, data exploration e data preparation, oltre allo sviluppo di modelli di Machine Learning. Il ruolo prevede il deployment e il monitoring delle soluzioni, personalizzate secondo le esigenze specifiche. Sarà, inoltre, coinvolto nella realizzazione di modelli predittivi, e nella creazione di use cases di GenAI con LLM. Un altro compito fondamentale sarà lo sviluppo di API e script per rendere operativi i modelli in maniera continuativa.

    🌟Sei tu?

    Il nostro collega ideale, con almeno 5 anni di esperienza pregressa in ruolo analogo, dovrà possedere le seguenti caratteristiche:

    • Laurea magistrale in materie STEM
    • Conoscenza di Python
    • Conoscenza di SQL e delle principali tecniche di Machine Learning / Data Mining
    • Buona conoscenza della lingua inglese (livello B2)

    Nice to have:

    • Preferibile esperienza su attività di sviluppo di modelli predittivi e/o utilizzo di LLM
    • Conoscenza dei moduli Python standard in ambito analytics (scikit-learn, pandas, numpy, ecc)
    • Conoscenza Reti Neurali e framework per loro implementazione
    • Conoscenza di framework BigData (Hadoop / Kafka / Spark / ecc)
    • Esperienza con tools di MLOps
    • Esperienza con strumenti di Business Intelligence (PowerBI, Board, ecc)
    • Conoscenza di unix, networking, docker, cloud

    Competenze e capacità apprezzate:

    • Mentalità analitica
    • Capacità di problem solving
    • Propensione al lavoro in team

    🌟Cosa offriamo?

    • 🌐 Remote Working: Lavorare da casa con flessibilità e comfort.
    • 🔄 Diversità dei Progetti: Opportunità di lavorare su progetti brevi, mantenendo sempre fresche e stimolanti le tue attività lavorative.
    • 🏢 Welfare Contrattuale: Un budget di benefici contrattuali su misura.
    • 🍽️ Buoni Pasto: Pasti garantiti ogni giorno di lavoro con i ticket elettronici.
    • 💉 Fondo Sanitario Contrattuale: Protezione sanitaria completa per te e i tuoi famigliari a carico.
    • 👥 Referral Program: Un programma di segnalazione senza limiti e per ogni nuovo collega che ci presenterai riceverai un premio.
    • 📚 Training Personalizzato: Formazione su misura in base alle esigenze specifiche dei progetti su cui lavorerai.
    • 🌴 Ferie e Permessi: 30 giorni complessivi tra ferie e permessi per goderti il tuo tempo libero.
    • 💳 Convenzioni Esclusive: Sconti esclusivi per una vasta gamma di servizi, prodotti, viaggi, abbigliamento e tecnologia.

    🌟Sei ancora interessato?

    Il nostro processo di selezione è rapido e coinvolgente, composto da:

    • Colloquio conoscitivo HR 🤝
      • Un’opportunità per conoscerci meglio e scoprire più su di te.
    • Colloquio Tecnico 💻
      • Un incontro con i responsabili di progetto per esplorare le tue competenze e i tuoi interessi.
    Se possiedi le caratteristiche giuste, il nostro responsabile HR sarà lieto di darti il benvenuto presentandoti la nostra offerta di collaborazione.

    🔍Vuoi saperne di più?

    Inviaci il tuo CV aggiornato e dettagliato con autorizzazione al trattamento dei dati personali ai sensi della Legge 196/03 e art.13 GDPR 679/13. 📄

    Al resto ci pensiamo noi! 🚀 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-24,[] +3825896733,https://it.linkedin.com/jobs/view/customer-data-scientist-at-pwc-italy-3825896733?position=5&pageNum=2&refId=a4Q5gfcvUJzQ3IRGw7N50A%3D%3D&trackingId=tat3BJo%2BVCcVVREfAq0n5g%3D%3D&trk=public_jobs_jserp-result_search-card,Customer Data Scientist,PwC Italy,"Milan, Lombardy, Italy","Vuoi essere al centro di prospettive di crescita uniche? Entra nella practice Customer Transformation di PwC e diventa: + +Customer Data Scientist + +Your Perspectives + +Ti unirai al gruppo di Customer Transformation di PwC su sfidanti progetti di Customer Advance Analytics e Data Science in ambito Consumer Markets, Financial Services, Energy&Utilities e Telco&Media, per supportare le organizzazioni nel valorizzare il patrimonio informativo sui propri Clienti e Consumatori finali, utilizzando i dati a disposizione per sviluppare soluzioni innovative basate su Machine Learning. + +Grazie all’accesso alle vaste competenze del nostro network internazionale, potrai dare spazio alle tue idee e fornire il contributo innovativo che hai sempre desiderato. + +Sarai Coinvolto Con Crescenti Responsabilità Nelle Seguenti Attività + + +Disegno, sviluppo, test e misurazione delle performance di modelli di Machine Learning e di modelli statistici in ambito Marketing: segmentazioni, Customer scoring, modelli di classificazione, modelli predittivi, modelli di propensione/raccomandazione; +Analisi dati avanzate sul comportamento dei Clienti sia su canale fisico che digitale attraverso esplorazione di dati strutturati e destrutturati, al fine di derivare insight di business; +Sviluppo di analisi quantitative e modelli di Machine Learning a supporto di progettualità di data-driven Strategy & Decision Making; +Attività di targeting evoluto e valutazione quantitativo-statistica delle campagne di Marketing; +Raccolta dei requisiti progettuali a diretto contatto con il cliente per il disegno e l’elaborazione di soluzioni data-driven; + + +Your unique strengths + + +Stai concludendo o hai concluso il percorso di studi o possiedi una laurea magistrale preferibilmente ad indirizzo scientifico (es. Data Science, Informatica, Statistica, Matematica, Fisica); +Hai un’ottima conoscenza di almeno uno tra i linguaggi Python ed R; +Possiedi una buona conoscenza dei database relazionali e del linguaggio SQL; +Hai forti competenze analitiche e ti interessa usare i dati per trovare soluzioni funzionali, creative ed innovative a problemi complessi; +Parli e scrivi in inglese fluentemente; +Ti interessa lavorare in team e crescere in un ambiente di lavoro stimolante e positivo; +Sei flessibile e hai forte motivazione ad intraprendere una carriera professionale in consulenza; + + +Saranno considerate un plus, le conoscenze, anche a livello base di: + + +Framework Spark e piattaforme Cloud come Amazon Web Services, Azure e Google Cloud Platform; +Artificial Intelligence in ambito Speech Analytics, Natural Language Processing o Computer Vision; +Show more ","
    + + + + + +
    +
    + Vuoi essere al centro di prospettive di crescita uniche? Entra nella practice Customer Transformation di PwC e diventa:

    Customer Data Scientist

    Your Perspectives

    Ti unirai al gruppo di Customer Transformation di PwC su sfidanti progetti di Customer Advance Analytics e Data Science in ambito Consumer Markets, Financial Services, Energy&Utilities e Telco&Media, per supportare le organizzazioni nel valorizzare il patrimonio informativo sui propri Clienti e Consumatori finali, utilizzando i dati a disposizione per sviluppare soluzioni innovative basate su Machine Learning.

    Grazie all’accesso alle vaste competenze del nostro network internazionale, potrai dare spazio alle tue idee e fornire il contributo innovativo che hai sempre desiderato.

    Sarai Coinvolto Con Crescenti Responsabilità Nelle Seguenti Attività

    • Disegno, sviluppo, test e misurazione delle performance di modelli di Machine Learning e di modelli statistici in ambito Marketing: segmentazioni, Customer scoring, modelli di classificazione, modelli predittivi, modelli di propensione/raccomandazione;
    • Analisi dati avanzate sul comportamento dei Clienti sia su canale fisico che digitale attraverso esplorazione di dati strutturati e destrutturati, al fine di derivare insight di business;
    • Sviluppo di analisi quantitative e modelli di Machine Learning a supporto di progettualità di data-driven Strategy & Decision Making;
    • Attività di targeting evoluto e valutazione quantitativo-statistica delle campagne di Marketing;
    • Raccolta dei requisiti progettuali a diretto contatto con il cliente per il disegno e l’elaborazione di soluzioni data-driven;

    Your unique strengths

    • Stai concludendo o hai concluso il percorso di studi o possiedi una laurea magistrale preferibilmente ad indirizzo scientifico (es. Data Science, Informatica, Statistica, Matematica, Fisica);
    • Hai un’ottima conoscenza di almeno uno tra i linguaggi Python ed R;
    • Possiedi una buona conoscenza dei database relazionali e del linguaggio SQL;
    • Hai forti competenze analitiche e ti interessa usare i dati per trovare soluzioni funzionali, creative ed innovative a problemi complessi;
    • Parli e scrivi in inglese fluentemente;
    • Ti interessa lavorare in team e crescere in un ambiente di lavoro stimolante e positivo;
    • Sei flessibile e hai forte motivazione ad intraprendere una carriera professionale in consulenza;

    Saranno considerate un plus, le conoscenze, anche a livello base di:

    • Framework Spark e piattaforme Cloud come Amazon Web Services, Azure e Google Cloud Platform;
    • Artificial Intelligence in ambito Speech Analytics, Natural Language Processing o Computer Vision;
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-04,[] +3997235208,https://it.linkedin.com/jobs/view/senior-data-scientist-at-matchguru-3997235208?position=6&pageNum=2&refId=a4Q5gfcvUJzQ3IRGw7N50A%3D%3D&trackingId=CcUV7QEgUKauoxltvlq4Gw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,MatchGuru,"Milan, Lombardy, Italy","Ciao, talento del tech! 🌟 + +Siamo MatchGuru, piacere di conoscerti! + + + + +Ci presentiamo, come è giusto che sia 🤝 + +MatchGuru è più di una piattaforma: è l'epicentro dove talenti e aziende si scoprono, capiscono e incontrano. Un mix (già leggendario) di tecnologia e competenza, progettato per match che vanno oltre l'eccellenza. Con le nostre soluzioni tecnologiche proprietarie, acceleriamo ed efficientiamo il processo di selezione, liberandolo da rallentamenti ed errori. Questo ci rende anche una vera e propria guida per talenti, che accompagniamo verso le opportunità più affini alle proprie caratteristiche e aspettative. + + + + +Cosa ci facciamo qui 👀 + +Oltre a garantire match perfetti a te, aiutiamo in tutti i modi le aziende a scovare i talenti più affini al proprio DNA, assicurando una perfetta compatibilità di skill, aspettative, aspirazioni e valori. Vogliamo assicurare soddisfazione e gratificazione sia ai talenti, che alle aziende. + + + + +⭐ L’opportunità + +Posizione: Senior Data Scientist +Seniority: 5+ anni nel ruolo +Dove: Milano, in sede. Previsto 1 giorno di smartworking +Azienda di prodotto ambito robotica per settore industriale e healtcare + + + + +💼 Le tue responsabilità includeranno… + +Sviluppare, prototipare e distribuire algoritmi e modelli di intelligenza artificiale e apprendimento automatico per visione artificiale, PNL, previsione di serie temporali, rilevamento di anomalie e molti problemi personalizzati. +Eseguire analisi avanzate dei dati e generare informazioni utili che informano e migliorano soluzioni e applicazioni robotiche. +Lavorare a stretto contatto con team interfunzionali, tra cui ingegneria, sviluppo prodotto e gestione dei progetti, per allineare le iniziative di data science con gli obiettivi aziendali. +Rimani aggiornato con gli ultimi sviluppi nell'intelligenza artificiale e nell'apprendimento automatico, applicando tecniche innovative ai progetti attuali. +Perfezionare e ottimizzare i modelli per migliorare prestazioni, robustezza e scalabilità in contesti reali. + + + + +💡 Potresti fare match con questa posizione se… + +Laurea magistrale o dottorato di ricerca in Matematica, Ingegneria Matematica, Statistica, Fisica, Scienza dei Dati o un campo correlato. +Oltre 5 anni di esperienza pratica con algoritmi di intelligenza artificiale e apprendimento automatico (ad esempio LLM, reti neurali convoluzionali, reti neurali ricorrenti, XGBoost, ecc.) +Competenza in Python con una conoscenza approfondita dei framework e delle librerie di machine learning (ad esempio, Scikit-Learn, TensorFlow, PyTorch) +Esperienza con strumenti e piattaforme per big data (ad esempio Spark) +Avanzate capacità di analisi statistica e problem solving. +Eccellente capacità di spiegare concetti tecnici complessi sia a un pubblico tecnico che a un pubblico non tecnico +Eccellenti capacità comunicative e relazionali +Conoscenza della lingua inglese + + + + +💶 Ma andiamo al sodo: ecco cosa ti offrono + +Contratto a Tempo Indeterminato, assunzione diretta +Range RAL 40-50K + + + + +Se pensi di essere il match perfetto per questa opportunità o conosci qualcuno che potrebbe esserlo, candidati subito oppure contattaci! 📩 + +Proviamo a matchare? 🚀 + + + + + + + +N.B. Ricorda di esplicitare nel CV il tuo consenso al trattamento dei dati personali, ai sensi del D.LGS. 196/03. La ricerca è egualmente rivolta a donne e uomini, in accordo con la normativa vigente (L.903/77). + +Show more ","
    + + + + + +
    +
    +

    Ciao, talento del tech! 🌟

    Siamo MatchGuru, piacere di conoscerti!


    Ci presentiamo, come è giusto che sia 🤝

    MatchGuru è più di una piattaforma: è l'epicentro dove talenti e aziende si scoprono, capiscono e incontrano. Un mix (già leggendario) di tecnologia e competenza, progettato per match che vanno oltre l'eccellenza. Con le nostre soluzioni tecnologiche proprietarie, acceleriamo ed efficientiamo il processo di selezione, liberandolo da rallentamenti ed errori. Questo ci rende anche una vera e propria guida per talenti, che accompagniamo verso le opportunità più affini alle proprie caratteristiche e aspettative.


    Cosa ci facciamo qui 👀

    Oltre a garantire match perfetti a te, aiutiamo in tutti i modi le aziende a scovare i talenti più affini al proprio DNA, assicurando una perfetta compatibilità di skill, aspettative, aspirazioni e valori. Vogliamo assicurare soddisfazione e gratificazione sia ai talenti, che alle aziende.


    ⭐ L’opportunità

    • Posizione: Senior Data Scientist
    • Seniority: 5+ anni nel ruolo
    • Dove: Milano, in sede. Previsto 1 giorno di smartworking
    • Azienda di prodotto ambito robotica per settore industriale e healtcare


    💼 Le tue responsabilità includeranno…

    • Sviluppare, prototipare e distribuire algoritmi e modelli di intelligenza artificiale e apprendimento automatico per visione artificiale, PNL, previsione di serie temporali, rilevamento di anomalie e molti problemi personalizzati.
    • Eseguire analisi avanzate dei dati e generare informazioni utili che informano e migliorano soluzioni e applicazioni robotiche.
    • Lavorare a stretto contatto con team interfunzionali, tra cui ingegneria, sviluppo prodotto e gestione dei progetti, per allineare le iniziative di data science con gli obiettivi aziendali.
    • Rimani aggiornato con gli ultimi sviluppi nell'intelligenza artificiale e nell'apprendimento automatico, applicando tecniche innovative ai progetti attuali.
    • Perfezionare e ottimizzare i modelli per migliorare prestazioni, robustezza e scalabilità in contesti reali.


    💡 Potresti fare match con questa posizione se…

    • Laurea magistrale o dottorato di ricerca in Matematica, Ingegneria Matematica, Statistica, Fisica, Scienza dei Dati o un campo correlato.
    • Oltre 5 anni di esperienza pratica con algoritmi di intelligenza artificiale e apprendimento automatico (ad esempio LLM, reti neurali convoluzionali, reti neurali ricorrenti, XGBoost, ecc.)
    • Competenza in Python con una conoscenza approfondita dei framework e delle librerie di machine learning (ad esempio, Scikit-Learn, TensorFlow, PyTorch)
    • Esperienza con strumenti e piattaforme per big data (ad esempio Spark)
    • Avanzate capacità di analisi statistica e problem solving.
    • Eccellente capacità di spiegare concetti tecnici complessi sia a un pubblico tecnico che a un pubblico non tecnico
    • Eccellenti capacità comunicative e relazionali
    • Conoscenza della lingua inglese


    💶 Ma andiamo al sodo: ecco cosa ti offrono

    • Contratto a Tempo Indeterminato, assunzione diretta
    • Range RAL 40-50K


    Se pensi di essere il match perfetto per questa opportunità o conosci qualcuno che potrebbe esserlo, candidati subito oppure contattaci! 📩

    Proviamo a matchare? 🚀



    N.B. Ricorda di esplicitare nel CV il tuo consenso al trattamento dei dati personali, ai sensi del D.LGS. 196/03. La ricerca è egualmente rivolta a donne e uomini, in accordo con la normativa vigente (L.903/77).

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3987844752,https://it.linkedin.com/jobs/view/data-science-internship-at-technogym-3987844752?position=7&pageNum=2&refId=a4Q5gfcvUJzQ3IRGw7N50A%3D%3D&trackingId=hfSs8E1Z%2FdkKVONemCDoLA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Science Internship,Technogym,"Milan, Lombardy, Italy","Our Company + +Technogym inspires 55 million daily users to train using our innovative & engaging solutions for fitness, sport and health. By promoting the wellness lifestyle of exercise, a balanced diet, and a positive mental approach, Technogym has rapidly grown into a success story of over 2,500 employees at 15 branches, expanding to more than 100 countries and has been selected as Official Supplier to 9 editions of the Olympic Games - from Sydney 2000 to Paris 2024. + +If you are a team player with strong relationship skills and an international approach, eager to invest your energy in building dreams, you have the right spirit to join Technogym! You will naturally fit with our culture if you work out and live a healthy lifestyle, are pro-active, determined and digital savvy. Move with us for a better world! + +Your Role + +At Technogym, we put data at the forefront of all decisions. As a Junior Data Scientist, you will be part of a team working on data analysis and data modeling of both internal data and customer data, across all products of the Technogym Ecosystem. + +In this role, you will work with a team of Data Scientists and Data Engineers and collaborate cross-functionally with Marketing, Product Marketing, and other departments working on Technogym Products. You will contribute insights to Technogym’s product strategy and direction through quantitative analysis and research. + +Your Impact + + +Collaborate with teams in Product Marketing, Marketing, Sales, and Finance to understand business context, ideate, and deliver insights and prototypes. +Assist Data Analyst and Engineers in improving data extraction, transformation, and modeling through the design of appropriate metrics. +Provide analyses through advanced analytics/statistical methods that tell a “story” focused on business insights. +Develop reusable and robust analytic frameworks to ensure consistent results across business areas. + + + +About You + + +Bachelor’s degree in Statistics, Economics, Mathematics, or a related quantitative discipline, or equivalent practical experience. +Up to 3/4 years of experience in a Data Analyst or Data Science role, analyzing data sets to solve business problems through statistical methods and predictive analytics. +Experience with statistical software (e.g., Python), database languages (e.g., SQL), and data visualization tools (e.g., Tableau). + + + +Preferred Qualifications + + +Experience in data analysis, especially for time series data, to solve business problems in complex, fast-moving, and ambiguous business environments with strong data intuition and business acumen. +Experience in stakeholder-facing or client-facing roles (e.g., previous internship or consulting role). + + + +Technogym is an Equal Opportunities Employer + +Technogym is an equal opportunities employer. We welcome applications from all members of society irrespective of age, sex, sexual orientation, race, religion or belief. + +Discover your potential with a career at Technogym, where work means loving what you do, taking on challenges, learning from others, sharing a vision and making it come true! +Show more ","
    + + + + + +
    +
    + Our Company

    Technogym inspires 55 million daily users to train using our innovative & engaging solutions for fitness, sport and health. By promoting the wellness lifestyle of exercise, a balanced diet, and a positive mental approach, Technogym has rapidly grown into a success story of over 2,500 employees at 15 branches, expanding to more than 100 countries and has been selected as Official Supplier to 9 editions of the Olympic Games - from Sydney 2000 to Paris 2024.

    If you are a team player with strong relationship skills and an international approach, eager to invest your energy in building dreams, you have the right spirit to join Technogym! You will naturally fit with our culture if you work out and live a healthy lifestyle, are pro-active, determined and digital savvy. Move with us for a better world!

    Your Role

    At Technogym, we put data at the forefront of all decisions. As a Junior Data Scientist, you will be part of a team working on data analysis and data modeling of both internal data and customer data, across all products of the Technogym Ecosystem.

    In this role, you will work with a team of Data Scientists and Data Engineers and collaborate cross-functionally with Marketing, Product Marketing, and other departments working on Technogym Products. You will contribute insights to Technogym’s product strategy and direction through quantitative analysis and research.

    Your Impact

    • Collaborate with teams in Product Marketing, Marketing, Sales, and Finance to understand business context, ideate, and deliver insights and prototypes.
    • Assist Data Analyst and Engineers in improving data extraction, transformation, and modeling through the design of appropriate metrics.
    • Provide analyses through advanced analytics/statistical methods that tell a “story” focused on business insights.
    • Develop reusable and robust analytic frameworks to ensure consistent results across business areas.


    About You

    • Bachelor’s degree in Statistics, Economics, Mathematics, or a related quantitative discipline, or equivalent practical experience.
    • Up to 3/4 years of experience in a Data Analyst or Data Science role, analyzing data sets to solve business problems through statistical methods and predictive analytics.
    • Experience with statistical software (e.g., Python), database languages (e.g., SQL), and data visualization tools (e.g., Tableau).


    Preferred Qualifications

    • Experience in data analysis, especially for time series data, to solve business problems in complex, fast-moving, and ambiguous business environments with strong data intuition and business acumen.
    • Experience in stakeholder-facing or client-facing roles (e.g., previous internship or consulting role).


    Technogym is an Equal Opportunities Employer

    Technogym is an equal opportunities employer. We welcome applications from all members of society irrespective of age, sex, sexual orientation, race, religion or belief.

    Discover your potential with a career at Technogym, where work means loving what you do, taking on challenges, learning from others, sharing a vision and making it come true! +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +4003521510,https://it.linkedin.com/jobs/view/antifraud-advanced-analytics-data-scientist-at-intesa-sanpaolo-4003521510?position=8&pageNum=2&refId=a4Q5gfcvUJzQ3IRGw7N50A%3D%3D&trackingId=VIBV3GHb6VqxjddY6zxUnw%3D%3D&trk=public_jobs_jserp-result_search-card,Antifraud Advanced Analytics Data Scientist,Intesa Sanpaolo,"Milan, Lombardy, Italy","Intesa Sanpaolo è un gruppo bancario internazionale, leader in Italia e fra i primi 5 gruppi dell'area euro con oltre 20 milioni di clienti in Italia e all’estero. Estremamente innovativo è anche motore di crescita sostenibile e inclusiva, con impatto concreto sulla società e con un forte impegno per l’ambiente. + + + + +Scopo e Attività + + + + +Stiamo cercando una persona che sia in grado di sviluppare soluzioni a problemi analitici predittivi complessi utilizzando le diverse fonti di dati disponibili, in grado di individuare soluzioni efficaci in logica di priorità, garantendo un approccio challenging alle sfide e riuscendo a sviluppare sinergie e senso di inclusione. + +In questo ruolo, verrà inserita all’interno dell’ufficio Antifraud & Customer Protection e si occuperà di sviluppare nuovi casi d'uso, identificare automaticamente eventi potenzialmente malevoli o pattern di interesse mediante l’analisi statistica, l’elaborazione di grandi quantità di dati e la creazione di modelli di Machine, a valore sia per la Capogruppo sia per le Legal Entity del Gruppo Intesa Sanpaolo. + +Lavorerà a stretto contatto con differenti professionalità e culture aziendali in un contesto internazionale, dinamico e in forte crescita. + + + + +La persona individuata si occuperà delle seguenti attività: + + + + +evoluzione delle attività di prevention & detection verso un modello data driven; +identificazione di trend anomali derivanti dall’operatività sui canali digitali; +organizzazione dei dati in formati idonei per l’analisi e l’interpretazione; +identificazione di nuovi pattern di attacco e codificare algoritmi per l’individuazione di attività potenzialmente anomale; +supporto alle analisi durante le attività di monitoraggio e progettazione; +comunicazione e rendicontazione dei principali risultati ottenuti. + + + + +Esperienza Richiesta + + + + +3-5 anni di esperienza in ambito Cybersecurity e/o Business Continuity. + + + + +Qualifiche Richieste, Skills e Competenze + + + + +Capacità di organizzare, analizzare e valutare grandi quantità di dati (ad es. Big Data) +Ottime competenze in tecniche e metodi di statistica, data mining e modelli matematici +Ottime competenze nell'utilizzo di tecniche machine learning (natural language processing, classification, clustering, ensemble methods, deep learning) +Ottime competenze nell’utilizzo di linguaggi di programmazione statistica (Python) e linguaggi per database (ad es. SQL) +Buon competenze di applicazioni di algoritmi di Machine learning e comportamentali in ambito Cyber con particolare focus sull’applicazione in ambito Antifrode +Conoscenza delle best practices e degli strumenti di Data Analytics rivolti alla prevenzione delle principali tecniche di attacco in ambito Cybersecurity +Buona conoscenza della lingua inglese. + + + + +Costituiscono titolo preferenziale eventuali competenze in ambito cybersecurity, in particolare Antifrode, e IT. + + + + +Entra a far parte di una realtà internazionale e innovativa. Il futuro non si aspetta, si sceglie! + +#sharingfuture + +Show more ","
    + + + + + +
    +
    +

    Intesa Sanpaolo è un gruppo bancario internazionale, leader in Italia e fra i primi 5 gruppi dell'area euro con oltre 20 milioni di clienti in Italia e all’estero. Estremamente innovativo è anche motore di crescita sostenibile e inclusiva, con impatto concreto sulla società e con un forte impegno per l’ambiente.


    Scopo e Attività


    Stiamo cercando una persona che sia in grado di sviluppare soluzioni a problemi analitici predittivi complessi utilizzando le diverse fonti di dati disponibili, in grado di individuare soluzioni efficaci in logica di priorità, garantendo un approccio challenging alle sfide e riuscendo a sviluppare sinergie e senso di inclusione.

    In questo ruolo, verrà inserita all’interno dell’ufficio Antifraud & Customer Protection e si occuperà di sviluppare nuovi casi d'uso, identificare automaticamente eventi potenzialmente malevoli o pattern di interesse mediante l’analisi statistica, l’elaborazione di grandi quantità di dati e la creazione di modelli di Machine, a valore sia per la Capogruppo sia per le Legal Entity del Gruppo Intesa Sanpaolo.

    Lavorerà a stretto contatto con differenti professionalità e culture aziendali in un contesto internazionale, dinamico e in forte crescita.


    La persona individuata si occuperà delle seguenti attività:


    • evoluzione delle attività di prevention & detection verso un modello data driven;
    • identificazione di trend anomali derivanti dall’operatività sui canali digitali;
    • organizzazione dei dati in formati idonei per l’analisi e l’interpretazione;
    • identificazione di nuovi pattern di attacco e codificare algoritmi per l’individuazione di attività potenzialmente anomale;
    • supporto alle analisi durante le attività di monitoraggio e progettazione;
    • comunicazione e rendicontazione dei principali risultati ottenuti.


    Esperienza Richiesta


    3-5 anni di esperienza in ambito Cybersecurity e/o Business Continuity.


    Qualifiche Richieste, Skills e Competenze


    • Capacità di organizzare, analizzare e valutare grandi quantità di dati (ad es. Big Data)
    • Ottime competenze in tecniche e metodi di statistica, data mining e modelli matematici
    • Ottime competenze nell'utilizzo di tecniche machine learning (natural language processing, classification, clustering, ensemble methods, deep learning)
    • Ottime competenze nell’utilizzo di linguaggi di programmazione statistica (Python) e linguaggi per database (ad es. SQL)
    • Buon competenze di applicazioni di algoritmi di Machine learning e comportamentali in ambito Cyber con particolare focus sull’applicazione in ambito Antifrode
    • Conoscenza delle best practices e degli strumenti di Data Analytics rivolti alla prevenzione delle principali tecniche di attacco in ambito Cybersecurity
    • Buona conoscenza della lingua inglese.


    Costituiscono titolo preferenziale eventuali competenze in ambito cybersecurity, in particolare Antifrode, e IT.


    Entra a far parte di una realtà internazionale e innovativa. Il futuro non si aspetta, si sceglie!

    #sharingfuture

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3986064198,https://it.linkedin.com/jobs/view/fluent-english-junior-python-developer-at-outstaff-your-team-3986064198?position=9&pageNum=2&refId=a4Q5gfcvUJzQ3IRGw7N50A%3D%3D&trackingId=6xyjx2srhDQ%2FJTGNwdkVQQ%3D%3D&trk=public_jobs_jserp-result_search-card,(Fluent English) Junior Python Developer,Outstaff Your Team,"Milan, Lombardy, Italy","Our team keeps expanding! We are looking for a fast-learning Junior Python Developer who loves Python and code quality to unlock the raw potential of Big Web Data. + +Product: + +SaaS products to transform the vast pool of web data from the open and dark web into structured web data feeds, ready for machines to consume. + +Progressive team: + +60+ qualified specialists, including developers, analysts, product managers, sales and customer support professionals. Your mentor is a Team Lead with solid experience in this area. + +Together We Will: + + +Develop efficient web scraping scripts for E-Commerce data extraction using Python; +Ensure high-quality data output through the identification and resolution of issues; +Troubleshoot and provide support for client-reported bugs and system problems; +Collaborate with team members, maintaining regular communication and escalating unresolved issues to the appropriate personnel; +Implement testing procedures for Python-based web scraping scripts + + + +Requirements + +What We Will Need: + + +Fluent written and spoken English; +1-2 years of commercial experience with Python coding and scripting; +Experience in code development with JavaScript, HTML & CSS; +Strong web scraping experience; +HTML structure knowledge (how to extract entities); +Hands-on experience with Linux; +Strong familiarity with GitHub; +Experience working with Relational Databases; +Ability to prioritize tasks; +Good documentation skills. + + + +Would Be a Plus: + + +Experience in Web crawling; +Network traffic understanding or experience; +Experience working with Non-relational Databases; +Understanding or experience with data collection, big data; +Experience in the field of E-commerce / News, blogs; +Ability to work for a common result; +Great sense of humor 🙂 + + + +Benefits + +We Offer: + + +Lots of interesting work with a Big Web Data solutions; +Compensation in USD; +International team; +Progressive product company with 7+ years in the IT market; +Schedule: Sunday to Thursday; +Fully remote +Show more ","
    + + + + + +
    +
    + Our team keeps expanding! We are looking for a fast-learning Junior Python Developer who loves Python and code quality to unlock the raw potential of Big Web Data.

    Product:

    SaaS products to transform the vast pool of web data from the open and dark web into structured web data feeds, ready for machines to consume.

    Progressive team:

    60+ qualified specialists, including developers, analysts, product managers, sales and customer support professionals. Your mentor is a Team Lead with solid experience in this area.

    Together We Will:

    • Develop efficient web scraping scripts for E-Commerce data extraction using Python;
    • Ensure high-quality data output through the identification and resolution of issues;
    • Troubleshoot and provide support for client-reported bugs and system problems;
    • Collaborate with team members, maintaining regular communication and escalating unresolved issues to the appropriate personnel;
    • Implement testing procedures for Python-based web scraping scripts


    Requirements

    What We Will Need:

    • Fluent written and spoken English;
    • 1-2 years of commercial experience with Python coding and scripting;
    • Experience in code development with JavaScript, HTML & CSS;
    • Strong web scraping experience;
    • HTML structure knowledge (how to extract entities);
    • Hands-on experience with Linux;
    • Strong familiarity with GitHub;
    • Experience working with Relational Databases;
    • Ability to prioritize tasks;
    • Good documentation skills.


    Would Be a Plus:

    • Experience in Web crawling;
    • Network traffic understanding or experience;
    • Experience working with Non-relational Databases;
    • Understanding or experience with data collection, big data;
    • Experience in the field of E-commerce / News, blogs;
    • Ability to work for a common result;
    • Great sense of humor 🙂


    Benefits

    We Offer:

    • Lots of interesting work with a Big Web Data solutions;
    • Compensation in USD;
    • International team;
    • Progressive product company with 7+ years in the IT market;
    • Schedule: Sunday to Thursday;
    • Fully remote
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-28,[] +3948533846,https://it.linkedin.com/jobs/view/digital-media-data-scientist-at-jakala-3948533846?position=10&pageNum=2&refId=a4Q5gfcvUJzQ3IRGw7N50A%3D%3D&trackingId=vTs5gAgTg69i5bn5XHQ05A%3D%3D&trk=public_jobs_jserp-result_search-card,Digital & Media - Data Scientist,JAKALA,"Milan, Lombardy, Italy","Descrizione azienda + + + + +JAKALA è un'azienda che lavora su dati, intelligenza artificiale e sviluppo di esperienze per generare un impatto significativo e duraturo a livello globale. + + + + +Presenti in oltre 30 città in 21 paesi, i nostri team uniscono competenze su strategia, tecnologia, creatività e operations per offrire esperienze personalizzate e soluzioni trasformative ai nostri clienti, grazie al supporto di dati e intelligenza artificiale. I Jakalers sono un gruppo eterogeneo di oltre 3.000 persone, animate da passione, ambizione e idee brillanti. Proprio questa combinazione unica di talenti è il fattore distintivo che ha ispirato il nostro purpose: Together to get there. + + + + +Creare un mondo migliore è il nostro obiettivo ultimo: la nostra ambizione è generare valore per tutti i nostri stakeholder in modo sostenibile, con particolare attenzione a etica, clima e qualità. Nel 2021, abbiamo scelto di diventare una Società Benefit, dimostrando il nostro impegno di lungo periodo e la volontà di proteggere i principi e i valori che ogni giorno guidano le nostre azioni. + +Crediamo che la diversità sia la chiave del nostro successo e, per questo, siamo impegnati a creare un ambiente di lavoro inclusivo, dove ciascuno possa sentirsi valorizzato per la propria unicità. Tutte le nostre opportunità di lavoro sono aperte ai candidati appartenenti alle categorie protette L.68/99. + + + + +Posizione + + + + +Per il potenziamento della Service Line Digital & Media ricerchiamo un Data Scientist con ottime capacità di lavoro in squadra, di apprendimento e di problem solving. Come Data Scientist verrai inserito nel Team Data, ti occuperai della progettazione, implementazione, gestione di processi big data e machine learning pipelines lavorando a stretto contatto con Data Engineers e Data Viz specialists. + + + + +Ecco un esempio delle attività che seguirai: + +Applicazione di modelli di Marketing Mix Model per valutare l'impatto dei canali media sulle vendite; +Applicazione di modelli di Attribuzione per il marketing; +Analisi dei Big Data per i nostri clienti su Data warehouse in Cloud come Google BigQuery o similare; +Applicazione di modelli di segmentazione, clustering, churn della customer base; +Utilizzo di modelli di Generative AI (OpenAI, Google, Open Source) applicati ad use-cases di marketing come creazione e generazione di contenuti, traduzione, generazione di immagini, valorizzazione di know how aziendale; + + + + +Requisiti + +Il/la candidato/a ideale possiede: + + + + +Laurea in Informatica, Matematica, Statistica, Ingegneria o altre discipline scientifiche +Almeno 2-5 anni di esperienza nella progettazione di soluzioni analitiche in ambito gestione e analisi dei dati, data visualization, advanced analytics e machine learning +Conoscenza dei principali linguaggi di programmazione per la Data Science: Python, SQL, R. +Passione/Interesse per il digital marketing +Familiarità con le principali soluzioni cloud (GCP, AWS, Azure) o precedenti esperienze nel digital marketing costituiranno elemento preferenziale. +Capacità di lavorare in team +Buona conoscenza lingua inglese scritta e orale + + + + +Nice to have: + + + + +Conoscenza di base del framework di elaborazione di Big Data Spark +Precedenti esperienze lavorative nel marketing digitale, inclusa esperienza di consulenza +Esperienza / progetti con librerie di Bayesian Modeling. + + + + +Altre informazioni + +Cosa offriamo: + +Ambiente di lavoro stimolante che favorisce l’autonomia e la crescita professionale +Confronto con colleghi con diverse esperienze formative e professionali +Contratto e retribuzione commisurati all’esperienza maturata + + + + +Se investi tempo nel nostro percorso di Recruiting, avrai tutto il nostro impegno. E oltre. + +La tua candidatura verrà presa in carico da un Recruiter del nostro Team Talent Acquisition, che si prenderà cura di visionare il tuo CV e le informazioni fornite. Sarà poi il tuo Recruiter di riferimento a ricontattarti per condividere il nostro feedback per te, indipendentemente dall’esito. Riceverai in ogni caso suggerimenti di sviluppo legati all’ottimizzazione del tuo CV, spunti per consolidare il tuo percorso di carriera e insight sull’arena competitiva in cui sei inserit*. Niente AI: lo facciamo a mano, col cuore, per te. +Ogni ora che vorrai investire nel conoscere JAKALA te la restituiamo per conoscerti meglio: grazie all’iniziativa “Your Time Back” e la nostra partnership strategica con Unobravo, hai diritto ad un percorso di empowerment di sessioni equivalenti al numero di interviste che hai sostenuto e che potrai spendere come vorrai. Sappiamo che cercare lavoro può essere sfidante: insieme a Unobravo vogliamo esserti vicini, anche se ancora non ci conosciamo. +Show more ","
    + + + + + +
    +
    +

    Descrizione azienda


    JAKALA è un'azienda che lavora su dati, intelligenza artificiale e sviluppo di esperienze per generare un impatto significativo e duraturo a livello globale.


    Presenti in oltre 30 città in 21 paesi, i nostri team uniscono competenze su strategia, tecnologia, creatività e operations per offrire esperienze personalizzate e soluzioni trasformative ai nostri clienti, grazie al supporto di dati e intelligenza artificiale. I Jakalers sono un gruppo eterogeneo di oltre 3.000 persone, animate da passione, ambizione e idee brillanti. Proprio questa combinazione unica di talenti è il fattore distintivo che ha ispirato il nostro purpose: Together to get there.


    Creare un mondo migliore è il nostro obiettivo ultimo: la nostra ambizione è generare valore per tutti i nostri stakeholder in modo sostenibile, con particolare attenzione a etica, clima e qualità. Nel 2021, abbiamo scelto di diventare una Società Benefit, dimostrando il nostro impegno di lungo periodo e la volontà di proteggere i principi e i valori che ogni giorno guidano le nostre azioni.

    Crediamo che la diversità sia la chiave del nostro successo e, per questo, siamo impegnati a creare un ambiente di lavoro inclusivo, dove ciascuno possa sentirsi valorizzato per la propria unicità. Tutte le nostre opportunità di lavoro sono aperte ai candidati appartenenti alle categorie protette L.68/99.


    Posizione


    Per il potenziamento della Service Line Digital & Media ricerchiamo un Data Scientist con ottime capacità di lavoro in squadra, di apprendimento e di problem solving. Come Data Scientist verrai inserito nel Team Data, ti occuperai della progettazione, implementazione, gestione di processi big data e machine learning pipelines lavorando a stretto contatto con Data Engineers e Data Viz specialists.


    Ecco un esempio delle attività che seguirai:

    • Applicazione di modelli di Marketing Mix Model per valutare l'impatto dei canali media sulle vendite;
    • Applicazione di modelli di Attribuzione per il marketing;
    • Analisi dei Big Data per i nostri clienti su Data warehouse in Cloud come Google BigQuery o similare;
    • Applicazione di modelli di segmentazione, clustering, churn della customer base;
    • Utilizzo di modelli di Generative AI (OpenAI, Google, Open Source) applicati ad use-cases di marketing come creazione e generazione di contenuti, traduzione, generazione di immagini, valorizzazione di know how aziendale;


    Requisiti

    Il/la candidato/a ideale possiede:


    • Laurea in Informatica, Matematica, Statistica, Ingegneria o altre discipline scientifiche
    • Almeno 2-5 anni di esperienza nella progettazione di soluzioni analitiche in ambito gestione e analisi dei dati, data visualization, advanced analytics e machine learning
    • Conoscenza dei principali linguaggi di programmazione per la Data Science: Python, SQL, R.
    • Passione/Interesse per il digital marketing
    • Familiarità con le principali soluzioni cloud (GCP, AWS, Azure) o precedenti esperienze nel digital marketing costituiranno elemento preferenziale.
    • Capacità di lavorare in team
    • Buona conoscenza lingua inglese scritta e orale


    Nice to have:


    • Conoscenza di base del framework di elaborazione di Big Data Spark
    • Precedenti esperienze lavorative nel marketing digitale, inclusa esperienza di consulenza
    • Esperienza / progetti con librerie di Bayesian Modeling.


    Altre informazioni

    Cosa offriamo:

    • Ambiente di lavoro stimolante che favorisce l’autonomia e la crescita professionale
    • Confronto con colleghi con diverse esperienze formative e professionali
    • Contratto e retribuzione commisurati all’esperienza maturata


    Se investi tempo nel nostro percorso di Recruiting, avrai tutto il nostro impegno. E oltre.

    • La tua candidatura verrà presa in carico da un Recruiter del nostro Team Talent Acquisition, che si prenderà cura di visionare il tuo CV e le informazioni fornite. Sarà poi il tuo Recruiter di riferimento a ricontattarti per condividere il nostro feedback per te, indipendentemente dall’esito. Riceverai in ogni caso suggerimenti di sviluppo legati all’ottimizzazione del tuo CV, spunti per consolidare il tuo percorso di carriera e insight sull’arena competitiva in cui sei inserit*. Niente AI: lo facciamo a mano, col cuore, per te.
    • Ogni ora che vorrai investire nel conoscere JAKALA te la restituiamo per conoscerti meglio: grazie all’iniziativa “Your Time Back” e la nostra partnership strategica con Unobravo, hai diritto ad un percorso di empowerment di sessioni equivalenti al numero di interviste che hai sostenuto e che potrai spendere come vorrai. Sappiamo che cercare lavoro può essere sfidante: insieme a Unobravo vogliamo esserti vicini, anche se ancora non ci conosciamo.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3993451631,https://it.linkedin.com/jobs/view/ai-engineer-at-bip-3993451631?position=1&pageNum=5&refId=fV3QjZLt1VDwU5Y0ZpEnVw%3D%3D&trackingId=Lf9LYE2%2FFeGlNV9%2Bgyfxmw%3D%3D&trk=public_jobs_jserp-result_search-card,AI Engineer,BIP,"Milan, Lombardy, Italy"," + +Entra nel nostro mondo. + +Trasforma insieme a noi. + +AI ENGINEER + +Quale sarà la tua sfida? + +Il nostro team di Artificial Intelligence Engineering si impegna a supportare i clienti nel percorso di adozione dell’intelligenza artificiale attraverso la realizzazione di factory di soluzioni di AI, azionabili e integrate nell'architettura e nei processi aziendali. + +La figura dell’AI Engineer progetta soluzioni software di Machine Learning (ML) scalabili per i casi d'uso dei clienti e le industrializza per l’esecuzione in produzione garantendo i livelli richiesti di performance, sicurezza e governabilità. + +L’AI Engineer lavora a stretto contatto con altre figure di Bip xTech, come Cloud Data Architects, Data Scientists e Data Engineer, per realizzare soluzioni ML di alta qualità sotto ogni aspetto: disegnando e implementando per il team strumenti di lavoro come le piattaforme di MLOps, fornendo linee guida e best practice sulle architetture dati e di AI, supportando l’implementazione del software e funzionalità di osservabilità dell’AI, e altro ancora. + +L’AI Engineer inoltre contribuirà alla Bip xTech Data Community con attività di ricerca, scouting tecnologico, concept di nuove soluzioni e sviluppo del business sui clienti di BIP. + +Le posizioni aperte riguardano profili sia junior che senior. + +Sarai tu a entrare nel nostro team? + + Requisiti fondamentali + + +Laurea specialistica in Ingegneria Informatica, Data Science, Informatica o discipline affini (STEM). +Esperienza nello sviluppo di software in almeno un linguaggio, come per esempio: Python, Scala, Java, e/o simili; +Esperienza nel disegno di soluzioni software e nell’implementazione di strutture dati, algoritmi; +Esperienza nell’utilizzo degli strumenti di Code Repository, come per esempio: GitHub, GitLab, Azure DevOps e/o simili. +Conoscenza dei concetti, algoritmi e metodologie di Machine Learning. +Esperienza con linguaggi SQL per il design, query e gestione dei database; esperienza nell’utilizzo di linguaggi SQL per le attività di ETL. +Indispensabile la conoscenza fluente di Italiano e Inglese professionali. + + +Plus + + +Esperienza nell’utilizzo delle principali piattaforme cloud (Google, AWS, Azure); +Conoscenza dei concetti e tecnologie di Big Data e Data Warehousing (esempio: Hadoop, Spark, Hive, Kafka); +Esperienza con framework e metodologie di Deep Learning (esempio: Tensorflow, PyTorch, HuggingFace Transformers, LangChain). +Conoscenza di framework di versionamento di dati e/o modelli (esempio: MLFlow, DVC, WanDB…). +Esperienza con framework di lavoro AGILE (esempio: Scrum, Kanban).  + + +Perchè Bip? + +People at the center of our culture + +Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone. + +Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti.  + +Challenge yourself + +Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco. + +Unlocking your potential + +Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti. + +Work-life Integration + +Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration. + +Diversity, Equity & Inclusion + +Valorizziamo l’unicità e ci impegniamo a garantire che tutti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro. + +Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi. + +Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –. + +Next Steps + +Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente. + +Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca. + +L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner. + +L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting. + +In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future. + +Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente. + +Su di Noi + +Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione. + +Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato. + +Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia. + +Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse. + + +Show more ","
    + + + + + +
    +
    +

    Entra nel nostro mondo.

    Trasforma insieme a noi.

    AI ENGINEER

    Quale sarà la tua sfida?

    Il nostro team di Artificial Intelligence Engineering si impegna a supportare i clienti nel percorso di adozione dell’intelligenza artificiale attraverso la realizzazione di factory di soluzioni di AI, azionabili e integrate nell'architettura e nei processi aziendali.

    La figura dell’AI Engineer progetta soluzioni software di Machine Learning (ML) scalabili per i casi d'uso dei clienti e le industrializza per l’esecuzione in produzione garantendo i livelli richiesti di performance, sicurezza e governabilità.

    L’AI Engineer lavora a stretto contatto con altre figure di Bip xTech, come Cloud Data Architects, Data Scientists e Data Engineer, per realizzare soluzioni ML di alta qualità sotto ogni aspetto: disegnando e implementando per il team strumenti di lavoro come le piattaforme di MLOps, fornendo linee guida e best practice sulle architetture dati e di AI, supportando l’implementazione del software e funzionalità di osservabilità dell’AI, e altro ancora.

    L’AI Engineer inoltre contribuirà alla Bip xTech Data Community con attività di ricerca, scouting tecnologico, concept di nuove soluzioni e sviluppo del business sui clienti di BIP.

    Le posizioni aperte riguardano profili sia junior che senior.

    Sarai tu a entrare nel nostro team?

     Requisiti fondamentali
    • Laurea specialistica in Ingegneria Informatica, Data Science, Informatica o discipline affini (STEM).
    • Esperienza nello sviluppo di software in almeno un linguaggio, come per esempio: Python, Scala, Java, e/o simili;
    • Esperienza nel disegno di soluzioni software e nell’implementazione di strutture dati, algoritmi;
    • Esperienza nell’utilizzo degli strumenti di Code Repository, come per esempio: GitHub, GitLab, Azure DevOps e/o simili.
    • Conoscenza dei concetti, algoritmi e metodologie di Machine Learning.
    • Esperienza con linguaggi SQL per il design, query e gestione dei database; esperienza nell’utilizzo di linguaggi SQL per le attività di ETL.
    • Indispensabile la conoscenza fluente di Italiano e Inglese professionali.


    Plus
    • Esperienza nell’utilizzo delle principali piattaforme cloud (Google, AWS, Azure);
    • Conoscenza dei concetti e tecnologie di Big Data e Data Warehousing (esempio: Hadoop, Spark, Hive, Kafka);
    • Esperienza con framework e metodologie di Deep Learning (esempio: Tensorflow, PyTorch, HuggingFace Transformers, LangChain).
    • Conoscenza di framework di versionamento di dati e/o modelli (esempio: MLFlow, DVC, WanDB…).
    • Esperienza con framework di lavoro AGILE (esempio: Scrum, Kanban). 


    Perchè Bip?

    People at the center of our culture

    Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone.

    Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti. 

    Challenge yourself

    Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco.

    Unlocking your potential

    Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti.

    Work-life Integration

    Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration.

    Diversity, Equity & Inclusion

    Valorizziamo l’unicità e ci impegniamo a garantire che tutti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro.

    Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi.

    Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –.

    Next Steps

    Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente.

    Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca.

    L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner.

    L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting.

    In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future.

    Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente.

    Su di Noi

    Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione.

    Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato.

    Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia.

    Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3967686023,https://it.linkedin.com/jobs/view/junior-%E2%80%93-ml-rpa-developer-%E2%80%93-risk-advisory-at-deloitte-3967686023?position=2&pageNum=5&refId=fV3QjZLt1VDwU5Y0ZpEnVw%3D%3D&trackingId=SbcW9zG8RjnIz3sCQbx9aw%3D%3D&trk=public_jobs_jserp-result_search-card,Junior – ML & RPA Developer – Risk Advisory,Deloitte,"Milan, Lombardy, Italy","Stiamo cercando una figura Junior da inserire nel team Digital Controls CPP di Deloitte Risk Advisory per la sede di Milano e Roma che lavorerà in modalità Hybrid. + +Il business Digital Controls CPP si occupa di fornire servizi di Digital Transformation, che hanno l’obiettivo di supportare la digitalizzazione dei processi di business, mettendo in atto attività che prevedono l’utilizzo di strumenti di Robotic Process Automation, Data Analytics, Machine Learning e AI sfruttando i principali servizi messi a disposizione dai più importanti player del settore dell’automazione di processo e cloud. + +Your Role + +La risorsa Junior verrà inserita in un team di lavoro e si occuperà di: + + +Aiutare nella progettazione e design di soluzioni IT sia di tipo applicativo che di integrazione; +Porterà avanti attività di troubleshooting e reverse engineering su soluzioni già implementate; +Implementazione di nuovi processi di automazione a partire dall’analisi di requisiti di Business fino al rilascio in produzione dopo opportuni Unit e User Acceptance Test. + + +Winning Requirements + + +Laurea triennale in informatica o in un campo STEM correlato; +Esperienza su progettualità di trasformazione digitale e/o automazione di processo; +Forte predisposizione al problem solving e mentalità analitica; +Buona conoscenza della lingua inglese (scritta e parlata); +Conoscenza dei linguaggi C#, SQL, .Net’; +Ottime abilità comunicative nei confronti degli stakeholder di progetto (colleghi, cliente, etc.); +Voglia di imparare, propositività e capacità di teamworking. + + +Make An Impact That Matters + +Deloitte è un network leader nei servizi professionali alle imprese, presente in oltre 150 Paesi con 457 mila professionisti. Offriamo soluzioni innovative e sostenibili in Audit & Assurance, Consulting, Financial Advisory, Risk Advisory, Tax e Legal. Il nostro obiettivo è supportare le aziende nello sviluppo e nell'implementazione di strategie al passo con il mercato. + +In Deloitte la sostenibilità è un tema centrale. Per questo, attraverso le strategie e le progettualità legate alle tematiche Environmental, Social e Governance (ESG), ci impegniamo a promuovere una crescita responsabile, sostenibile e inclusiva per il Pianeta, le nostre persone e la società. Scopri di più sulle nostre strategie di Corporate Sustainability, tra cui Well-being, la strategia volta a migliorare il benessere fisico, mentale e sociale delle nostre persone, affinché siano felici e piene di energia in tutti gli ambiti della loro vita e WorldClimate, la strategia globale di Deloitte per diventare un’organizzazione Net Zero e per guidare scelte responsabili all’interno e all’esterno dell’organizzazione. + +Sei pront* a #MakeAnImpactThatMatter insieme? Candidati ora! + +Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del dlgs. 196/2003. La ricerca rispetta il d.lgs. 198/2006, il D.lgs. 215/03 e il D.lgs. 216/03 ed è aperta a candidat* di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. +Show more ","
    + + + + + +
    +
    + Stiamo cercando una figura Junior da inserire nel team Digital Controls CPP di Deloitte Risk Advisory per la sede di Milano e Roma che lavorerà in modalità Hybrid.

    Il business Digital Controls CPP si occupa di fornire servizi di Digital Transformation, che hanno l’obiettivo di supportare la digitalizzazione dei processi di business, mettendo in atto attività che prevedono l’utilizzo di strumenti di Robotic Process Automation, Data Analytics, Machine Learning e AI sfruttando i principali servizi messi a disposizione dai più importanti player del settore dell’automazione di processo e cloud.

    Your Role

    La risorsa Junior verrà inserita in un team di lavoro e si occuperà di:

    • Aiutare nella progettazione e design di soluzioni IT sia di tipo applicativo che di integrazione;
    • Porterà avanti attività di troubleshooting e reverse engineering su soluzioni già implementate;
    • Implementazione di nuovi processi di automazione a partire dall’analisi di requisiti di Business fino al rilascio in produzione dopo opportuni Unit e User Acceptance Test.

    Winning Requirements

    • Laurea triennale in informatica o in un campo STEM correlato;
    • Esperienza su progettualità di trasformazione digitale e/o automazione di processo;
    • Forte predisposizione al problem solving e mentalità analitica;
    • Buona conoscenza della lingua inglese (scritta e parlata);
    • Conoscenza dei linguaggi C#, SQL, .Net’;
    • Ottime abilità comunicative nei confronti degli stakeholder di progetto (colleghi, cliente, etc.);
    • Voglia di imparare, propositività e capacità di teamworking.

    Make An Impact That Matters

    Deloitte è un network leader nei servizi professionali alle imprese, presente in oltre 150 Paesi con 457 mila professionisti. Offriamo soluzioni innovative e sostenibili in Audit & Assurance, Consulting, Financial Advisory, Risk Advisory, Tax e Legal. Il nostro obiettivo è supportare le aziende nello sviluppo e nell'implementazione di strategie al passo con il mercato.

    In Deloitte la sostenibilità è un tema centrale. Per questo, attraverso le strategie e le progettualità legate alle tematiche Environmental, Social e Governance (ESG), ci impegniamo a promuovere una crescita responsabile, sostenibile e inclusiva per il Pianeta, le nostre persone e la società. Scopri di più sulle nostre strategie di Corporate Sustainability, tra cui Well-being, la strategia volta a migliorare il benessere fisico, mentale e sociale delle nostre persone, affinché siano felici e piene di energia in tutti gli ambiti della loro vita e WorldClimate, la strategia globale di Deloitte per diventare un’organizzazione Net Zero e per guidare scelte responsabili all’interno e all’esterno dell’organizzazione.

    Sei pront* a #MakeAnImpactThatMatter insieme? Candidati ora!

    Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del dlgs. 196/2003. La ricerca rispetta il d.lgs. 198/2006, il D.lgs. 215/03 e il D.lgs. 216/03 ed è aperta a candidat* di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3975419818,https://it.linkedin.com/jobs/view/machine-learning-artificial-intelligence-engineer-milano-cns-at-pwc-italy-3975419818?position=3&pageNum=5&refId=fV3QjZLt1VDwU5Y0ZpEnVw%3D%3D&trackingId=IwjMPEu8CvkaYr1S%2Fg20sg%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning & Artificial Intelligence Engineer - Milano [CNS],PwC Italy,"Milan, Lombardy, Italy","Vuoi essere al centro di prospettive di crescita uniche? Entra nella practice Technology Consulting di PwC e diventa: + +Machine Learning & Artificial Intelligence Engineer + +YOUR PERSPECTIVE + +Farai parte del nostro ML & AI Ops team, focalizzato nella gestione di sfidanti progetti di Digital Transformation per i principali players in ambito Automotive & Industrial Manufacturing, consumer Markets, Energy & Utilities , Financial Services, Telco & Media attraverso lo sviluppo, l’efficientamento e la reingegnerizzazione del ciclo di vita del software e dei modelli/algoritmi. + +Le Tue Attività Saranno + + +supportare il cliente nella definizione del design del software e nelle attività di application performance management; +raccogliere i requisiti di integrazione sia dal punto di vista tecnico che funzionale interfacciandosi anche con gli altri team di PwC; +realizzare le data pipeline attraverso le principali tecnologie Python/PySpark/Spark/Scala/R e sulle principali data platform (GCP/Azure/AWS/Palantir); +presidiare e garantire i processi di CI/CD/CT e di software life cycle management; + + +YOUR UNIQUE STRENGHT + + +Sei laureato/a in una disciplina STEM o in particolare in uno dei seguenti corsi di laurea: Informatica, Ingegneria Informatica, Ingegneria Elettronica o dell'Automazione; +Hai conoscenza specifica di una delle principali tecnologie/piattaforme tra Python/PySpark/Spark/Scala/R e Google/Azure/Aws/Palantir; +Hai esperienze con strumenti come MLFlow, KubeFlow, AirFlow o simili; +Il possesso di certificazioni in una delle piattaforme tra quelle sopra indicate costituisce un plus; +Hai una buona conoscenza dei più comuni RDBMS; +Hai una comprensione generale dei fondamenti del ciclo di vita delle API; +Hai una comprensione generale degli argomenti relativi alle infrastrutture/architetture; +Hai una buona conoscenza degli strumenti di gestione del ciclo di vita del software/modello (Git, CI/CD /CT). +Show more ","
    + + + + + +
    +
    + Vuoi essere al centro di prospettive di crescita uniche? Entra nella practice Technology Consulting di PwC e diventa:

    Machine Learning & Artificial Intelligence Engineer

    YOUR PERSPECTIVE

    Farai parte del nostro ML & AI Ops team, focalizzato nella gestione di sfidanti progetti di Digital Transformation per i principali players in ambito Automotive & Industrial Manufacturing, consumer Markets, Energy & Utilities , Financial Services, Telco & Media attraverso lo sviluppo, l’efficientamento e la reingegnerizzazione del ciclo di vita del software e dei modelli/algoritmi.

    Le Tue Attività Saranno

    • supportare il cliente nella definizione del design del software e nelle attività di application performance management;
    • raccogliere i requisiti di integrazione sia dal punto di vista tecnico che funzionale interfacciandosi anche con gli altri team di PwC;
    • realizzare le data pipeline attraverso le principali tecnologie Python/PySpark/Spark/Scala/R e sulle principali data platform (GCP/Azure/AWS/Palantir);
    • presidiare e garantire i processi di CI/CD/CT e di software life cycle management;

    YOUR UNIQUE STRENGHT

    • Sei laureato/a in una disciplina STEM o in particolare in uno dei seguenti corsi di laurea: Informatica, Ingegneria Informatica, Ingegneria Elettronica o dell'Automazione;
    • Hai conoscenza specifica di una delle principali tecnologie/piattaforme tra Python/PySpark/Spark/Scala/R e Google/Azure/Aws/Palantir;
    • Hai esperienze con strumenti come MLFlow, KubeFlow, AirFlow o simili;
    • Il possesso di certificazioni in una delle piattaforme tra quelle sopra indicate costituisce un plus;
    • Hai una buona conoscenza dei più comuni RDBMS;
    • Hai una comprensione generale dei fondamenti del ciclo di vita delle API;
    • Hai una comprensione generale degli argomenti relativi alle infrastrutture/architetture;
    • Hai una buona conoscenza degli strumenti di gestione del ciclo di vita del software/modello (Git, CI/CD /CT).
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-03,[] +3989389765,https://it.linkedin.com/jobs/view/data-scientist-bidding-dispatching-at-a2a-3989389765?position=4&pageNum=5&refId=fV3QjZLt1VDwU5Y0ZpEnVw%3D%3D&trackingId=aomGCutfTzA02YKyD2lh4Q%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST - BIDDING & DISPATCHING,A2A,"Milan, Lombardy, Italy","Chi cerchiamo + +Per la nostra sede di Milano siamo alla ricerca di una persona da inserire come Data Scientist - Bidding & Dispatching all’interno della struttura Modelli e Algoritmi di Programmazione e Dispacciamento struttura che ha lo scopo di implementare e presidiare l'evoluzione dei modelli e degli algoritmi a supporto della programmazione di breve e medio termine e del dispacciamento degli impianti idroelettrici, termoelettrici e rinnovabili. + +Per quale Business Unit + +L’inserimento è previsto all’interno della Business Unit Generazione & Trading, la cui attività è relativa alla gestione del portafoglio impianti di generazione del Gruppo con il duplice scopo di massimizzare la disponibilità e l’efficienza degli impianti, minimizzando i costi di esercizio e manutenzione (O&M) e di massimizzare il profitto derivante dalla gestione del portafoglio energetico attraverso l’attività di compravendita di energia elettrica, di combustibili (gassosi e non gassosi) e di titoli ambientali sui mercati all’ingrosso nazionali ed esteri. + +Rientra nell’ambito della Business Unit anche l’attività di trading sui mercati nazionali ed esteri di tutte le commodity energetiche (gas, energia elettrica, titoli ambientali). + +Ti occuperai di + +Partecipazione attivamente nell’implementazione di modelli software di rappresentazione degli impianti idroelettrici, termoelettrici e a fonti rinnovabili del parco centrali della BU. +Sviluppare algoritmi finalizzati al supporto delle attività di bidding e alla realizzazione delle strategie di posizionamento sul mercato. +Analisi, elaborazione, sintesi e condivisione dei dati raccolti. +Raccogliere ed organizzare i dati storici di impianti e mercati. +Studiare e analizzare le evoluzioni normative dei mercati elettrici (ARERA, Terna, GME). +Modellistica e supporto per migliorare il dispacciamento degli impianti. + + + + +Sei la persona giusta se ti riconosci in questo profilo + +Laurea in Matematica, Fisica o Ingegneria matematica. +Preferibile esperienza pregressa di 1 o 2 anni come Business Analyst o Data Analyst. +Interesse per il mondo energy/ambiente/sostenibilità. +Ottima conoscenza del pacchetto Office (Excel e VBA) +Costituisce titolo preferenziale la conoscenza di linguaggi di programmazione (es. Matlab, Python). +Buona conoscenza della lingua inglese. +Completano il profilo: capacità di analisi e attitudine al problem solving + + + + +Saranno valutate esclusivamente le candidature inviate tramite il Sito Carriere aziendale. + +Ci impegniamo ogni giorno per creare un ambiente di lavoro inclusivo e innovativo, fondato sul rispetto, sull’etica e sulle pari opportunità garantendo la valorizzazione delle diversità. + +La selezione è rivolta a candidati e candidate in linea con le competenze richieste. I dati personali raccolti verranno trattati nel rispetto del Regolamento Ue 2016/679 (GDPR). + +Scopri di più sul Gruppo a2a: + +https://www.gruppoa2a.it/it/carriere/nostre-persone + +https://www.gruppoa2a.it/it/carriere/formazione + +https://www.gruppoa2a.it/it/carriere/benefit-welfare + +https://www.gruppoa2a.it/it/carriere/nostre-career-areas + +https://www.gruppoa2a.it/it/carriere/diversity + +Per conoscere il nostro processo di selezione e prepararti al meglio al colloquio: + +https://www.gruppoa2a.it/it/carriere/processo-selezione + +https://content.gruppoa2a.it/sites/default/files/2023-03/consigli-iter-selezione.pdf + +Show more ","
    + + + + + +
    +
    +

    Chi cerchiamo

    Per la nostra sede di Milano siamo alla ricerca di una persona da inserire come Data Scientist - Bidding & Dispatching all’interno della struttura Modelli e Algoritmi di Programmazione e Dispacciamento struttura che ha lo scopo di implementare e presidiare l'evoluzione dei modelli e degli algoritmi a supporto della programmazione di breve e medio termine e del dispacciamento degli impianti idroelettrici, termoelettrici e rinnovabili.

    Per quale Business Unit

    L’inserimento è previsto all’interno della Business Unit Generazione & Trading, la cui attività è relativa alla gestione del portafoglio impianti di generazione del Gruppo con il duplice scopo di massimizzare la disponibilità e l’efficienza degli impianti, minimizzando i costi di esercizio e manutenzione (O&M) e di massimizzare il profitto derivante dalla gestione del portafoglio energetico attraverso l’attività di compravendita di energia elettrica, di combustibili (gassosi e non gassosi) e di titoli ambientali sui mercati all’ingrosso nazionali ed esteri.

    Rientra nell’ambito della Business Unit anche l’attività di trading sui mercati nazionali ed esteri di tutte le commodity energetiche (gas, energia elettrica, titoli ambientali).

    Ti occuperai di

    • Partecipazione attivamente nell’implementazione di modelli software di rappresentazione degli impianti idroelettrici, termoelettrici e a fonti rinnovabili del parco centrali della BU.
    • Sviluppare algoritmi finalizzati al supporto delle attività di bidding e alla realizzazione delle strategie di posizionamento sul mercato.
    • Analisi, elaborazione, sintesi e condivisione dei dati raccolti.
    • Raccogliere ed organizzare i dati storici di impianti e mercati.
    • Studiare e analizzare le evoluzioni normative dei mercati elettrici (ARERA, Terna, GME).
    • Modellistica e supporto per migliorare il dispacciamento degli impianti.


    Sei la persona giusta se ti riconosci in questo profilo

    • Laurea in Matematica, Fisica o Ingegneria matematica.
    • Preferibile esperienza pregressa di 1 o 2 anni come Business Analyst o Data Analyst.
    • Interesse per il mondo energy/ambiente/sostenibilità.
    • Ottima conoscenza del pacchetto Office (Excel e VBA)
    • Costituisce titolo preferenziale la conoscenza di linguaggi di programmazione (es. Matlab, Python).
    • Buona conoscenza della lingua inglese.
    • Completano il profilo: capacità di analisi e attitudine al problem solving


    Saranno valutate esclusivamente le candidature inviate tramite il Sito Carriere aziendale.

    Ci impegniamo ogni giorno per creare un ambiente di lavoro inclusivo e innovativo, fondato sul rispetto, sull’etica e sulle pari opportunità garantendo la valorizzazione delle diversità.

    La selezione è rivolta a candidati e candidate in linea con le competenze richieste. I dati personali raccolti verranno trattati nel rispetto del Regolamento Ue 2016/679 (GDPR).

    Scopri di più sul Gruppo a2a:

    https://www.gruppoa2a.it/it/carriere/nostre-persone

    https://www.gruppoa2a.it/it/carriere/formazione

    https://www.gruppoa2a.it/it/carriere/benefit-welfare

    https://www.gruppoa2a.it/it/carriere/nostre-career-areas

    https://www.gruppoa2a.it/it/carriere/diversity

    Per conoscere il nostro processo di selezione e prepararti al meglio al colloquio:

    https://www.gruppoa2a.it/it/carriere/processo-selezione

    https://content.gruppoa2a.it/sites/default/files/2023-03/consigli-iter-selezione.pdf

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +4002919177,https://it.linkedin.com/jobs/view/mr-clinical-research-scientist-southern-europe-at-ge-healthcare-4002919177?position=6&pageNum=5&refId=fV3QjZLt1VDwU5Y0ZpEnVw%3D%3D&trackingId=rWBaYog1qSCWl2cADQjkzg%3D%3D&trk=public_jobs_jserp-result_search-card,MR Clinical Research Scientist - Southern Europe,GE HealthCare,"Milan, Lombardy, Italy","Job Description Summary + +As an MR Clinical Research Scientist, you will distinguish yourself through MR research collaboration. In close partnership with Southern European clinical and academic research partners - as well as GE Healthcare colleagues - you will be responsible for exploring, developing, and validating advanced MR imaging applications - ultimately driving their translation into product solutions. + +Job Description + +Essential Responsibilities + + +Leverage educational qualifications to develop and deliver new or improved MR applications. +Support MR research partners, with emphasis on key academic and clinical sites in Southern Europe. +Advise colleagues in Product Marketing and Applications on new technical and clinical innovations which can be developed into new products. Leverage expertise to move project initiatives forward +Assist in writing research proposals, journal publications, and technical documents. +Participate in customer presentations and scanner demonstrations. + + +Qualifications/Requirements + + +Ph.D. in Physics, Chemistry, Life Sciences, Computer Science, Biomedical/Electrical/Software Engineering, or related field +Demonstrated record of innovation and development +Strong regional (Spanish/Italian) language, oral and written communication skills. English fluency also required. +Can-do attitude. Flexible, intellectually curious, and able to work with cross-functional, global teams. +Quality, Compliance, and Continuous Improvement focus +Willingness to travel 30% of time. + + +Desired Characteristics + + +3+ years of experience in MR imaging research or closely related field +Experience in a clinical environment (e.g. radiology or cardiology department) +Experience in pulse sequence modification and/or recon programming +Programming experience in C/C++ +Experience with academic and/or clinical research collaborations +Candidates with MR experience in a specific application area (neuro, body, cardiac, vascular, msk) are especially welcome + + +Inclusion and Diversity + +GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. + +Behaviors + +We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity. + +Total Rewards + +Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. + +Additional Information + +Relocation Assistance Provided: No + + +Show more ","
    + + + + + +
    +
    + Job Description Summary

    As an MR Clinical Research Scientist, you will distinguish yourself through MR research collaboration. In close partnership with Southern European clinical and academic research partners - as well as GE Healthcare colleagues - you will be responsible for exploring, developing, and validating advanced MR imaging applications - ultimately driving their translation into product solutions.

    Job Description

    Essential Responsibilities

    • Leverage educational qualifications to develop and deliver new or improved MR applications.
    • Support MR research partners, with emphasis on key academic and clinical sites in Southern Europe.
    • Advise colleagues in Product Marketing and Applications on new technical and clinical innovations which can be developed into new products. Leverage expertise to move project initiatives forward
    • Assist in writing research proposals, journal publications, and technical documents.
    • Participate in customer presentations and scanner demonstrations.

    Qualifications/Requirements

    • Ph.D. in Physics, Chemistry, Life Sciences, Computer Science, Biomedical/Electrical/Software Engineering, or related field
    • Demonstrated record of innovation and development
    • Strong regional (Spanish/Italian) language, oral and written communication skills. English fluency also required.
    • Can-do attitude. Flexible, intellectually curious, and able to work with cross-functional, global teams.
    • Quality, Compliance, and Continuous Improvement focus
    • Willingness to travel 30% of time.

    Desired Characteristics

    • 3+ years of experience in MR imaging research or closely related field
    • Experience in a clinical environment (e.g. radiology or cardiology department)
    • Experience in pulse sequence modification and/or recon programming
    • Programming experience in C/C++
    • Experience with academic and/or clinical research collaborations
    • Candidates with MR experience in a specific application area (neuro, body, cardiac, vascular, msk) are especially welcome

    Inclusion and Diversity

    GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

    Behaviors

    We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

    Total Rewards

    Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

    Additional Information

    Relocation Assistance Provided: No

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3984109768,https://it.linkedin.com/jobs/view/software-engineer-for-ai-training-data-python-at-g2i-inc-3984109768?position=7&pageNum=5&refId=fV3QjZLt1VDwU5Y0ZpEnVw%3D%3D&trackingId=jj45vYbPyyyrDpp05zm5wA%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer for AI Training Data (Python),G2i Inc.,"Milan, Lombardy, Italy","Accepted Locations + +We are accepting applicants from the US, Canada, and most countries in LATAM and Europe. We are accepting some countries in Africa and Asia. For the full list of accepted locations, click here. This work is 100% remote. + +Loom Video + +Our Founder/CEO, Gabe Greenberg, created a more in depth Loom video that we highly recommend you watch! Check it out here: https://www.loom.com/share/5a8972c7fbbf46aaa3f389b2b6391c40 + +Job Overview + +We are currently seeking Developers for project-specific roles focused on RLHF. This role will play a key part in our reinforcement learning from human feedback (RLHF) initiatives, contributing to cutting-edge projects. + +You’ll join an expert annotation team to create training data for for the worlds most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the biggest players in the AI/LLM space today. We are seeking software engineers with 4+ years of experience to train AI large language models, helping cutting-edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! + +What Will I Be Doing? + + +Evaluating the quality of AI-generated code, including human-readable summaries of your rationale +Solve coding problems, writing functional and efficient code +Writing robust test cases to confirm code works efficiently and effectively +We asked the technical project manager to go into even more detail and this is how he answered: It is solving coding challenges, creating instructions to help others, reviewing the code before it goes into the model, and there's a ton of variety in the projects. We have everything from ""which piece of Python code is better?"" to ""make a full mobile application using this chatbot, and improve the chatbot's responses afterwards to make it faster"" + + +Contract Length + + +This project is expected to last until the end of September and you'll be able to continue to work on other projects (though likely not in Swift). +You can end the contract at any time. + + +Flexible Schedules + + +Developers can set their own hours - ideal candidates will be interested in spending 15+ hours a week. They will be with teams, so strong performers will adapt to the urgency of projects and stay engaged, but incredibly flexible on working hours. +Take a 3 hour lunch, no problem. You are paid according to time spent on the platform, which is calculated in the coding exercises, as opposed to tracking your own hours. + + +Compensation + + +US: $50 /hr +Brazil: $28.70/hr +Egypt: $22.05/hr +Phillipines: $25.55/hr +All other countries: $35/hr +Expectations are 15+ hours per week however there is no upper limit. We have engineers working 20-40 hrs per week and some that are working 40+ hours per week. You can work as much as you want to. You'll get paid on a weekly basis. You get paid per hour of work done on the platform. + + +Interview Process + +We've created a 3.5 hour screening and onboarding process to join as a Software Engineer for AI Training Data which can be accomplished in 1 week or less. We purposely perform most of these steps asynchronously because most of the RLHF work is async and self guided. After you apply, if you look like a good fit we'll provide you access to the G2i dashboard to go through this simple screening process. + +Step 1: Learn in depth about the role (35 min) + +Step 2: Perform a simple RLHF code review (35 min) + +Step 3: Receive platform credentials, pass ID verification (5 min), and choose your project (30 min). + +Step 4: Perform a production level RLHF task (75 min) ""aka the final interview"" + +Join us: Based on your final interview, you'll will put you on the right difficulty RLHF project + + +Show more ","
    + + + + + +
    +
    + Accepted Locations

    We are accepting applicants from the US, Canada, and most countries in LATAM and Europe. We are accepting some countries in Africa and Asia. For the full list of accepted locations, click here. This work is 100% remote.

    Loom Video

    Our Founder/CEO, Gabe Greenberg, created a more in depth Loom video that we highly recommend you watch! Check it out here: https://www.loom.com/share/5a8972c7fbbf46aaa3f389b2b6391c40

    Job Overview

    We are currently seeking Developers for project-specific roles focused on RLHF. This role will play a key part in our reinforcement learning from human feedback (RLHF) initiatives, contributing to cutting-edge projects.

    You’ll join an expert annotation team to create training data for for the worlds most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the biggest players in the AI/LLM space today. We are seeking software engineers with 4+ years of experience to train AI large language models, helping cutting-edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open!

    What Will I Be Doing?

    • Evaluating the quality of AI-generated code, including human-readable summaries of your rationale
    • Solve coding problems, writing functional and efficient code
    • Writing robust test cases to confirm code works efficiently and effectively
    • We asked the technical project manager to go into even more detail and this is how he answered: It is solving coding challenges, creating instructions to help others, reviewing the code before it goes into the model, and there's a ton of variety in the projects. We have everything from ""which piece of Python code is better?"" to ""make a full mobile application using this chatbot, and improve the chatbot's responses afterwards to make it faster""

    Contract Length

    • This project is expected to last until the end of September and you'll be able to continue to work on other projects (though likely not in Swift).
    • You can end the contract at any time.

    Flexible Schedules

    • Developers can set their own hours - ideal candidates will be interested in spending 15+ hours a week. They will be with teams, so strong performers will adapt to the urgency of projects and stay engaged, but incredibly flexible on working hours.
    • Take a 3 hour lunch, no problem. You are paid according to time spent on the platform, which is calculated in the coding exercises, as opposed to tracking your own hours.

    Compensation

    • US: $50 /hr
    • Brazil: $28.70/hr
    • Egypt: $22.05/hr
    • Phillipines: $25.55/hr
    • All other countries: $35/hr
    • Expectations are 15+ hours per week however there is no upper limit. We have engineers working 20-40 hrs per week and some that are working 40+ hours per week. You can work as much as you want to. You'll get paid on a weekly basis. You get paid per hour of work done on the platform.

    Interview Process

    We've created a 3.5 hour screening and onboarding process to join as a Software Engineer for AI Training Data which can be accomplished in 1 week or less. We purposely perform most of these steps asynchronously because most of the RLHF work is async and self guided. After you apply, if you look like a good fit we'll provide you access to the G2i dashboard to go through this simple screening process.

    Step 1: Learn in depth about the role (35 min)

    Step 2: Perform a simple RLHF code review (35 min)

    Step 3: Receive platform credentials, pass ID verification (5 min), and choose your project (30 min).

    Step 4: Perform a production level RLHF task (75 min) ""aka the final interview""

    Join us: Based on your final interview, you'll will put you on the right difficulty RLHF project

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-24,[] +3967654420,https://it.linkedin.com/jobs/view/experienced-%E2%80%93-data-scientist-ai-%E2%80%93-roma-milano-%E2%80%93-risk-advisory-at-deloitte-3967654420?position=8&pageNum=5&refId=fV3QjZLt1VDwU5Y0ZpEnVw%3D%3D&trackingId=BYfjmdGzDnJGF1KSOgWNcA%3D%3D&trk=public_jobs_jserp-result_search-card,Experienced – Data Scientist AI – Roma/Milano – Risk Advisory,Deloitte,"Milan, Lombardy, Italy","Stiamo cercando una figura Consultant/Senior Consultant da inserire nel team Digital Controls CPP di Deloitte Risk Advisory per le sedi di Roma e Milano che lavorerà in modalità Hybrid. + +Il business Digital Controls CPP si occupa di fornire servizi di Digital Transformation, che hanno l’obiettivo di supportare la digitalizzazione dei processi interni di business, mettendo in atto attività che prevedono l’utilizzo di strumenti di Data Analytics, Machine Learning, IoT e AI sfruttando i principali servizi messi a disposizione dai più importanti player del settore Cloud. + +Your Role + +La risorsa Experienced verrà inserita in un team di lavoro e si occuperà di: + + +Supervisionare, coordinare e gestire, come Team Leader, un team di sviluppo o consulenti junior; +Progettare ed analizzare soluzioni IT complesse sia di tipo applicativo che di integrazione; +Gestire autonomamente troubleshooting articolati e sotto pressione; +Lavorare in team numerosi dislocati anche su scala internazionale. + + +Winning Requirements + + +Laurea in materie STEM; +Esperienza nella gestione end-to-end di progetti di Data Science: disegno, sviluppo e test di soluzioni AI +Ottima conoscenza di Python e delle librerie per manipolazione dati e sviluppo modelli (Pandas, TensorFlow, Scikit-learn, PyTorch, ecc.); +Esperienza con tecnologie di Generative AI e modelli LLM; +Esperienza con strumenti di containerizzazione (e.g. docker) +Conoscenza di strumenti e linguaggi per la manipolazione dei dati: SQL, MongoDB, Neo4j, Spark, ecc. +Ottima conoscenza della lingua inglese; +Flessibilità, disponibilità a viaggiare. + + +Make An Impact That Matters + +Deloitte è un network leader nei servizi professionali alle imprese, presente in oltre 150 Paesi con 457 mila professionisti. Offriamo soluzioni innovative e sostenibili in Audit & Assurance, Consulting, Financial Advisory, Risk Advisory, Tax e Legal. Il nostro obiettivo è supportare le aziende nello sviluppo e nell'implementazione di strategie al passo con il mercato. + +In Deloitte la sostenibilità è un tema centrale. Per questo, attraverso le strategie e le progettualità legate alle tematiche Environmental, Social e Governance (ESG), ci impegniamo a promuovere una crescita responsabile, sostenibile e inclusiva per il Pianeta, le nostre persone e la società. Scopri di più sulle nostre strategie di Corporate Sustainability, tra cui Well-being, la strategia volta a migliorare il benessere fisico, mentale e sociale delle nostre persone, affinché siano felici e piene di energia in tutti gli ambiti della loro vita e WorldClimate, la strategia globale di Deloitte per diventare un’organizzazione Net Zero e per guidare scelte responsabili all’interno e all’esterno dell’organizzazione. + +Sei pront* a #MakeAnImpactThatMatter insieme? Candidati ora! + +Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del dlgs. 196/2003. La ricerca rispetta il d.lgs. 198/2006, il D.lgs. 215/03 e il D.lgs. 216/03 ed è aperta a candidat* di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. +Show more ","
    + + + + + +
    +
    + Stiamo cercando una figura Consultant/Senior Consultant da inserire nel team Digital Controls CPP di Deloitte Risk Advisory per le sedi di Roma e Milano che lavorerà in modalità Hybrid.

    Il business Digital Controls CPP si occupa di fornire servizi di Digital Transformation, che hanno l’obiettivo di supportare la digitalizzazione dei processi interni di business, mettendo in atto attività che prevedono l’utilizzo di strumenti di Data Analytics, Machine Learning, IoT e AI sfruttando i principali servizi messi a disposizione dai più importanti player del settore Cloud.

    Your Role

    La risorsa Experienced verrà inserita in un team di lavoro e si occuperà di:

    • Supervisionare, coordinare e gestire, come Team Leader, un team di sviluppo o consulenti junior;
    • Progettare ed analizzare soluzioni IT complesse sia di tipo applicativo che di integrazione;
    • Gestire autonomamente troubleshooting articolati e sotto pressione;
    • Lavorare in team numerosi dislocati anche su scala internazionale.

    Winning Requirements

    • Laurea in materie STEM;
    • Esperienza nella gestione end-to-end di progetti di Data Science: disegno, sviluppo e test di soluzioni AI
    • Ottima conoscenza di Python e delle librerie per manipolazione dati e sviluppo modelli (Pandas, TensorFlow, Scikit-learn, PyTorch, ecc.);
    • Esperienza con tecnologie di Generative AI e modelli LLM;
    • Esperienza con strumenti di containerizzazione (e.g. docker)
    • Conoscenza di strumenti e linguaggi per la manipolazione dei dati: SQL, MongoDB, Neo4j, Spark, ecc.
    • Ottima conoscenza della lingua inglese;
    • Flessibilità, disponibilità a viaggiare.

    Make An Impact That Matters

    Deloitte è un network leader nei servizi professionali alle imprese, presente in oltre 150 Paesi con 457 mila professionisti. Offriamo soluzioni innovative e sostenibili in Audit & Assurance, Consulting, Financial Advisory, Risk Advisory, Tax e Legal. Il nostro obiettivo è supportare le aziende nello sviluppo e nell'implementazione di strategie al passo con il mercato.

    In Deloitte la sostenibilità è un tema centrale. Per questo, attraverso le strategie e le progettualità legate alle tematiche Environmental, Social e Governance (ESG), ci impegniamo a promuovere una crescita responsabile, sostenibile e inclusiva per il Pianeta, le nostre persone e la società. Scopri di più sulle nostre strategie di Corporate Sustainability, tra cui Well-being, la strategia volta a migliorare il benessere fisico, mentale e sociale delle nostre persone, affinché siano felici e piene di energia in tutti gli ambiti della loro vita e WorldClimate, la strategia globale di Deloitte per diventare un’organizzazione Net Zero e per guidare scelte responsabili all’interno e all’esterno dell’organizzazione.

    Sei pront* a #MakeAnImpactThatMatter insieme? Candidati ora!

    Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del dlgs. 196/2003. La ricerca rispetta il d.lgs. 198/2006, il D.lgs. 215/03 e il D.lgs. 216/03 ed è aperta a candidat* di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +4003038711,https://it.linkedin.com/jobs/view/senior-machine-learning-engineer-at-smartfab-4003038711?position=9&pageNum=5&refId=fV3QjZLt1VDwU5Y0ZpEnVw%3D%3D&trackingId=Tp%2BI3LLiC%2BX9LGRg5IjNhw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Machine Learning Engineer,smartFAB,"Milan, Lombardy, Italy","Il settore manifatturiero è il cuore pulsante dell’economia mondiale con 33M di professionisti in Europa, creando i beni di uso quotidiano. Grazie all'analisi dei dati e all'IA, le opportunità di ottimizzare qualità ed efficienza sono innumerevoli. Qui entra in gioco smartFAB: la nostra piattaforma guida decisioni strategiche, supportando aziende di ogni calibro nella loro evoluzione. + + + + +Posizione: Milano, con opzioni flessibili di lavoro remoto. + + + + +Il Tuo Ruolo: + +Stiamo cercando un Machine Learning Engineer talentuoso e appassionato, dotato di ottime capacità di programmazione, di analisi critica e con esperienza sul Cloud. La figura sarà coinvolta in tutte le fasi del ciclo di vita del prodotto, dallo sviluppo alla consegna al cliente, avendo un ruolo centrale nello svolgimento delle seguenti attività: + +Sviluppare, gestire e scalare pipeline di analytics e data. +Migliorare la scalabilità, stabilità, velocità ed efficienza della piattaforma esistente. +Ideare, sviluppare, testare ed implementare estensioni, modelli, librerie, framework o interi sistemi per il nostro sistema principale. +Collaborare con ingegneri e product owner esperti per creare strumenti avanzati per automatizzare la gestione dei dati, le analisi, e la visualizzazione dei risultati. +Interfacciarsi con clienti di diverso livello di esperienza e conoscenza. + + + + +Requisiti necessari: + +5+ anni di esperienza come Machine Learning Engineer (Python e SQL indispensabile) +5+ anni di esperienza lavorativa nella progettazione, realizzazione e manutenzione di pipeline di dati end-to-end, specificatamente nella gestione di flussi di dati asincroni e orientati agli eventi (eg: Apache Kafka, Celery o SQS). +Esperienza nella creazione di modelli teorici di ottimizzazione. +Familiarità con AWS, Azure, GCP, Docker e Kubernetes. +Ottime conoscenze in data modelling, data preparation, e tecniche di automazione. +Laurea magistrale STEM. +Ottime abilità comunicative e fluente in inglese. + + + + +smartFAB offre un ambiente di lavoro dinamico e orientato alla crescita, con un team di persone entusiaste e motivate a raggiungere gli obiettivi e la visione dell'azienda. Se sei appassionato di analisi dati e vuoi unirti a una start-up innovativa che sta cambiando il modo in cui le aziende manifatturiere operano e competono, inviaci il tuo curriculum vitae e una lettera motivazionale. + + + + +Unisciti a noi! + +Show more ","
    + + + + + +
    +
    +

    Il settore manifatturiero è il cuore pulsante dell’economia mondiale con 33M di professionisti in Europa, creando i beni di uso quotidiano. Grazie all'analisi dei dati e all'IA, le opportunità di ottimizzare qualità ed efficienza sono innumerevoli. Qui entra in gioco smartFAB: la nostra piattaforma guida decisioni strategiche, supportando aziende di ogni calibro nella loro evoluzione.


    Posizione: Milano, con opzioni flessibili di lavoro remoto.


    Il Tuo Ruolo:

    Stiamo cercando un Machine Learning Engineer talentuoso e appassionato, dotato di ottime capacità di programmazione, di analisi critica e con esperienza sul Cloud. La figura sarà coinvolta in tutte le fasi del ciclo di vita del prodotto, dallo sviluppo alla consegna al cliente, avendo un ruolo centrale nello svolgimento delle seguenti attività:

    • Sviluppare, gestire e scalare pipeline di analytics e data.
    • Migliorare la scalabilità, stabilità, velocità ed efficienza della piattaforma esistente.
    • Ideare, sviluppare, testare ed implementare estensioni, modelli, librerie, framework o interi sistemi per il nostro sistema principale.
    • Collaborare con ingegneri e product owner esperti per creare strumenti avanzati per automatizzare la gestione dei dati, le analisi, e la visualizzazione dei risultati.
    • Interfacciarsi con clienti di diverso livello di esperienza e conoscenza.


    Requisiti necessari:

    • 5+ anni di esperienza come Machine Learning Engineer (Python e SQL indispensabile)
    • 5+ anni di esperienza lavorativa nella progettazione, realizzazione e manutenzione di pipeline di dati end-to-end, specificatamente nella gestione di flussi di dati asincroni e orientati agli eventi (eg: Apache Kafka, Celery o SQS).
    • Esperienza nella creazione di modelli teorici di ottimizzazione.
    • Familiarità con AWS, Azure, GCP, Docker e Kubernetes.
    • Ottime conoscenze in data modelling, data preparation, e tecniche di automazione.
    • Laurea magistrale STEM.
    • Ottime abilità comunicative e fluente in inglese.


    smartFAB offre un ambiente di lavoro dinamico e orientato alla crescita, con un team di persone entusiaste e motivate a raggiungere gli obiettivi e la visione dell'azienda. Se sei appassionato di analisi dati e vuoi unirti a una start-up innovativa che sta cambiando il modo in cui le aziende manifatturiere operano e competono, inviaci il tuo curriculum vitae e una lettera motivazionale.


    Unisciti a noi!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-18,[] +3993449841,https://it.linkedin.com/jobs/view/ai-engineer-google-at-bip-3993449841?position=10&pageNum=5&refId=fV3QjZLt1VDwU5Y0ZpEnVw%3D%3D&trackingId=P6n2gZ1SQOTJZCXKRO3x8g%3D%3D&trk=public_jobs_jserp-result_search-card,AI Engineer - Google,BIP,"Milan, Lombardy, Italy"," + +AI ENGINEER – GOOGLE   + +Quale sarà la tua sfida? + +Il nostro team di Artificial Intelligence Engineering, che lavora verticalmente su piattaforme Google Cloud (GCP), si impegna a supportare i clienti nel percorso di adozione dell’intelligenza artificiale attraverso la realizzazione di factory di soluzioni di AI, azionabili e integrate nell'architettura e nei processi aziendali. + +La figura dell’AI Engineer progetta soluzioni software di Machine Learning (ML) scalabili per i casi d'uso dei clienti e le industrializza per l’esecuzione in produzione garantendo i livelli richiesti di performance, sicurezza e governabilità. + +L’AI Engineer lavora a stretto contatto con altre figure di Bip xTech, come Cloud Data Architects, Data Scientists e Data Engineer, per realizzare soluzioni ML di alta qualità sotto ogni aspetto: disegnando e implementando per il team strumenti di lavoro come le piattaforme di MLOps, fornendo linee guida e best practise sulle architetture dati e di AI, supportando l’implementazione del software e funzionalità di osservabilità dell’AI, e altro ancora. + +Sarai tu a entrare nel nostro team? + + Requisiti fondamentali + + +Laurea specialistica in Ingegneria Informatica, Data Science, Informatica o discipline affini (STEM); +Esperienza nell’utilizzo della piattaforma Google Cloud; +Esperienza nello sviluppo di software in almeno un linguaggio, come per esempio: Python, Scala, Java, e/o simili; +Esperienza nel disegno di soluzioni software e nell’implementazione di strutture dati, algoritmi; +Esperienza nell’utilizzo degli strumenti di Code Repository, come per esempio: GitHub, GitLab, Azure DevOps e/o simili. +Conoscenza dei concetti, algoritmi e metodologie di Machine Learning. +Esperienza con linguaggi SQL per il design, query e gestione dei database; esperienza nell’utilizzo di linguaggi SQL per le attività di ETL. +Indispensabile la conoscenza fluente di Italiano e Inglese professionali. + + +Plus + + +Esperienza nell’utilizzo delle piattaforme cloud (esempio: Google, AWS, Azure); +Conoscenza dei concetti e tecnologie di Big Data e Data Warehousing (esempio: Hadoop, Spark, Hive, Kafka); +Esperienza con framework e metodologie di Deep Learning (esempio: Tensorflow, Torch, Caffe, Theano). + + +  + +Perchè Bip? + +People at the center of our culture + +Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone. + +Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti.  + +Challenge yourself + +Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco. + +Unlocking your potential + +Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti. + +Work-life Integration + +Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration. + +Diversity, Equity & Inclusion + +Valorizziamo l’unicità e ci impegniamo a garantire che tutti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro. + +Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi. + +Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –. + +Next Steps + +Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente. + +Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca. + +L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner. + +L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting. + +In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future. + +Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente. + +Su di Noi + +Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione. + +Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato. + +Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia. + +Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse. + + +Show more ","
    + + + + + +
    +
    +

    AI ENGINEER – GOOGLE  

    Quale sarà la tua sfida?

    Il nostro team di Artificial Intelligence Engineering, che lavora verticalmente su piattaforme Google Cloud (GCP), si impegna a supportare i clienti nel percorso di adozione dell’intelligenza artificiale attraverso la realizzazione di factory di soluzioni di AI, azionabili e integrate nell'architettura e nei processi aziendali.

    La figura dell’AI Engineer progetta soluzioni software di Machine Learning (ML) scalabili per i casi d'uso dei clienti e le industrializza per l’esecuzione in produzione garantendo i livelli richiesti di performance, sicurezza e governabilità.

    L’AI Engineer lavora a stretto contatto con altre figure di Bip xTech, come Cloud Data Architects, Data Scientists e Data Engineer, per realizzare soluzioni ML di alta qualità sotto ogni aspetto: disegnando e implementando per il team strumenti di lavoro come le piattaforme di MLOps, fornendo linee guida e best practise sulle architetture dati e di AI, supportando l’implementazione del software e funzionalità di osservabilità dell’AI, e altro ancora.

    Sarai tu a entrare nel nostro team?

     Requisiti fondamentali
    • Laurea specialistica in Ingegneria Informatica, Data Science, Informatica o discipline affini (STEM);
    • Esperienza nell’utilizzo della piattaforma Google Cloud;
    • Esperienza nello sviluppo di software in almeno un linguaggio, come per esempio: Python, Scala, Java, e/o simili;
    • Esperienza nel disegno di soluzioni software e nell’implementazione di strutture dati, algoritmi;
    • Esperienza nell’utilizzo degli strumenti di Code Repository, come per esempio: GitHub, GitLab, Azure DevOps e/o simili.
    • Conoscenza dei concetti, algoritmi e metodologie di Machine Learning.
    • Esperienza con linguaggi SQL per il design, query e gestione dei database; esperienza nell’utilizzo di linguaggi SQL per le attività di ETL.
    • Indispensabile la conoscenza fluente di Italiano e Inglese professionali.


    Plus
    • Esperienza nell’utilizzo delle piattaforme cloud (esempio: Google, AWS, Azure);
    • Conoscenza dei concetti e tecnologie di Big Data e Data Warehousing (esempio: Hadoop, Spark, Hive, Kafka);
    • Esperienza con framework e metodologie di Deep Learning (esempio: Tensorflow, Torch, Caffe, Theano).


     

    Perchè Bip?

    People at the center of our culture

    Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone.

    Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti. 

    Challenge yourself

    Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco.

    Unlocking your potential

    Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti.

    Work-life Integration

    Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration.

    Diversity, Equity & Inclusion

    Valorizziamo l’unicità e ci impegniamo a garantire che tutti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro.

    Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi.

    Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –.

    Next Steps

    Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente.

    Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca.

    L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner.

    L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting.

    In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future.

    Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente.

    Su di Noi

    Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione.

    Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato.

    Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia.

    Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3989959623,https://it.linkedin.com/jobs/view/junior-game-programmer-at-milestone-s-r-l-3989959623?position=1&pageNum=7&refId=Mlwh6ZbqdONOuOgLIl513g%3D%3D&trackingId=bj0JZViFAXoWBoPLG%2BaQeA%3D%3D&trk=public_jobs_jserp-result_search-card,JUNIOR GAME PROGRAMMER,Milestone s.r.l.,"Milan, Lombardy, Italy","Milestone è un’azienda fondata nel 1996 che sviluppa e pubblica worldwide videogiochi multipiattaforma. Nella sua line-up sono presenti sia titoli basati su licenze prestigiose come MotoGP e Supercross che IP proprietarie. + +Grazie al nostro knowhow tecnologico e creativo abbiamo saputo imporci sul mercato a livello internazionale nel segmento dei videogiochi racing, per cui siamo riconosciuti ed apprezzati in tutto il mondo. La nostra è la storia di una realtà solida, dinamica, in continua crescita e alla costante ricerca di nuove sfide tecnologiche e creative. I nostri team di sviluppo sono giovani, propositivi e uniti dalla grande passione per i videogiochi e da un forte entusiasmo per il proprio lavoro. + +Posizione: + +Il Junior game programmer verrà inserito all’interno di uno dei team di sviluppo Milestone e verrà affiancato da uno sviluppatore senior che lo accompagnerà in un percorso formativo finalizzato ad acquisire competenze che gli permettano di sviluppare in autonomia parti del prodotto quali funzionalità di gioco e interfacce utente unitamente alla gestione del back-end e allo scripting. + +Requisiti: + + +Conoscenza del C++ +Familiarità con la programmazione basata su componenti +Conoscenza dell'OOP +Capacità di creare codice robusto e riutilizzabile +Buona conoscenza dell’algebra lineare +Buona conoscenza della lingua inglese + + +REQUISITI PREFERENZIALI + + +Conoscenza dei linguaggi C/C#/phyton/Java +Conoscenza di Unreal Engine +Conoscenze matematiche e fisiche +Esperienze dimostrabili anche amatoriali nell’ambito dello sviluppo di videogiochi + + +CARATTERISTICHE PERSONALI + + +Capacità di lavorare in team e di gestione del tempo e delle priorità +Forte motivazione al raggiungimento di alti standard qualitativi nel rispetto delle scadenze +Ottime capacità relazionali, spirito di appartenenza e tensione verso obiettivi condivisi +Passione per i videogiochi + + +Altre informazioni: + +COSA PROPONIAMO + + +Crescita e formazione continua +Ambiente stimolante, giovane e dinamico +Modalità di lavoro ibrida + + +""Il presente annuncio è rivolto a candidati ambosessi (l.903/77 - D.Lgs. n.198/2006) anche appartenenti alle Categorie Protette (l.68/99)"" +Show more ","
    + + + + + +
    +
    + Milestone è un’azienda fondata nel 1996 che sviluppa e pubblica worldwide videogiochi multipiattaforma. Nella sua line-up sono presenti sia titoli basati su licenze prestigiose come MotoGP e Supercross che IP proprietarie.

    Grazie al nostro knowhow tecnologico e creativo abbiamo saputo imporci sul mercato a livello internazionale nel segmento dei videogiochi racing, per cui siamo riconosciuti ed apprezzati in tutto il mondo. La nostra è la storia di una realtà solida, dinamica, in continua crescita e alla costante ricerca di nuove sfide tecnologiche e creative. I nostri team di sviluppo sono giovani, propositivi e uniti dalla grande passione per i videogiochi e da un forte entusiasmo per il proprio lavoro.

    Posizione:

    Il Junior game programmer verrà inserito all’interno di uno dei team di sviluppo Milestone e verrà affiancato da uno sviluppatore senior che lo accompagnerà in un percorso formativo finalizzato ad acquisire competenze che gli permettano di sviluppare in autonomia parti del prodotto quali funzionalità di gioco e interfacce utente unitamente alla gestione del back-end e allo scripting.

    Requisiti:

    • Conoscenza del C++
    • Familiarità con la programmazione basata su componenti
    • Conoscenza dell'OOP
    • Capacità di creare codice robusto e riutilizzabile
    • Buona conoscenza dell’algebra lineare
    • Buona conoscenza della lingua inglese

    REQUISITI PREFERENZIALI

    • Conoscenza dei linguaggi C/C#/phyton/Java
    • Conoscenza di Unreal Engine
    • Conoscenze matematiche e fisiche
    • Esperienze dimostrabili anche amatoriali nell’ambito dello sviluppo di videogiochi

    CARATTERISTICHE PERSONALI

    • Capacità di lavorare in team e di gestione del tempo e delle priorità
    • Forte motivazione al raggiungimento di alti standard qualitativi nel rispetto delle scadenze
    • Ottime capacità relazionali, spirito di appartenenza e tensione verso obiettivi condivisi
    • Passione per i videogiochi

    Altre informazioni:

    COSA PROPONIAMO

    • Crescita e formazione continua
    • Ambiente stimolante, giovane e dinamico
    • Modalità di lavoro ibrida

    ""Il presente annuncio è rivolto a candidati ambosessi (l.903/77 - D.Lgs. n.198/2006) anche appartenenti alle Categorie Protette (l.68/99)"" +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +4002779131,https://be.linkedin.com/jobs/view/applied-data-scientist-at-microsoft-4002779131?position=1&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=EjuSyWqndp1yvdx62qoKxw%3D%3D&trk=public_jobs_jserp-result_search-card,Applied Data Scientist,Microsoft,"Brussels, Brussels Region, Belgium","Microsoft’s Health and Life Sciences team is dedicated to empowering healthcare organizations ton achieve their goals and improve patient care. We aim to create an efficient and connected healthcare ecosystem by bringing the healthcare ecosystem together which empowers everyone across the healthcare journey to collaborate, communicate, and innovate together to provide better experiences for their workforces and patients or members alike. + +Our team has an exciting opportunity for an Applied Data Scientist to expand our Dragon Ambient eXperience (DAX) product to international markets. DAX listens to doctor/patient conversations and + +writes highly accurate clinical summaries of the encounter for review by the physician. DAX is an industry leading solution in the US healthcare market, and we are expanding our languages and market to include Germany and France. + +#hlsp #dax-intl + +Responsibilities + +Responsibilities include: + + +Demonstrate broad understanding of state-of-the-art in machine learning concepts and applications. +Collaborate directly with product leaders, researchers, and engineers within Microsoft Health and Life Sciences division. +Develop state-of-the-art clinical summarization technology using advanced LLM capabilities in multiple languages. +Identifies approaches, and applies, improves, or creates a research-backed solution (e.g., novel, data driven, scalable, extendable) to positively impact DAX international summarization. +Applies language expertise and knowledge of clinical documentation to create high-quality clinical summaries for European markets. +Performs data analysis by reviewing criteria that reflect quality and technical constraints. Reviews data for inclusion in model training, taking actions to address data quality problems. + + +Qualifications + +Required/Minimum Qualifications + + +Doctorate in relevant field OR equivalent experience +Demonstrated research or applied science experience in Natural Language Processing +Proven experience with LLM technologies and generative AI +Language fluency in English AND French or German, or Dutch + + +Other Requirements + +Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: + + +This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. + + +Preferred/Additional Qualifications + + +Experience in medical text analytics and/or clinical information retrieval +Experience with text summarization and/or text generation + + +Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. +Show more ","
    + + + + + +
    +
    + Microsoft’s Health and Life Sciences team is dedicated to empowering healthcare organizations ton achieve their goals and improve patient care. We aim to create an efficient and connected healthcare ecosystem by bringing the healthcare ecosystem together which empowers everyone across the healthcare journey to collaborate, communicate, and innovate together to provide better experiences for their workforces and patients or members alike.

    Our team has an exciting opportunity for an Applied Data Scientist to expand our Dragon Ambient eXperience (DAX) product to international markets. DAX listens to doctor/patient conversations and

    writes highly accurate clinical summaries of the encounter for review by the physician. DAX is an industry leading solution in the US healthcare market, and we are expanding our languages and market to include Germany and France.

    #hlsp #dax-intl

    Responsibilities

    Responsibilities include:

    • Demonstrate broad understanding of state-of-the-art in machine learning concepts and applications.
    • Collaborate directly with product leaders, researchers, and engineers within Microsoft Health and Life Sciences division.
    • Develop state-of-the-art clinical summarization technology using advanced LLM capabilities in multiple languages.
    • Identifies approaches, and applies, improves, or creates a research-backed solution (e.g., novel, data driven, scalable, extendable) to positively impact DAX international summarization.
    • Applies language expertise and knowledge of clinical documentation to create high-quality clinical summaries for European markets.
    • Performs data analysis by reviewing criteria that reflect quality and technical constraints. Reviews data for inclusion in model training, taking actions to address data quality problems.

    Qualifications

    Required/Minimum Qualifications

    • Doctorate in relevant field OR equivalent experience
    • Demonstrated research or applied science experience in Natural Language Processing
    • Proven experience with LLM technologies and generative AI
    • Language fluency in English AND French or German, or Dutch

    Other Requirements

    Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

    • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

    Preferred/Additional Qualifications

    • Experience in medical text analytics and/or clinical information retrieval
    • Experience with text summarization and/or text generation

    Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3993802826,https://be.linkedin.com/jobs/view/data-scientist-at-exsolv%C3%A6-3993802826?position=2&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=w0P6vZQ4z4pUi1PXzRkWvA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Exsolvæ,"Brussels, Brussels Region, Belgium","The Company: + + + + +Exsolvæ is a data consultancy based in Brussels, Belgium. We are dedicated to fostering a culture of knowledge sharing among data professionals. + +Our goal is not only to excel in one discipline, but also to gain a comprehensive understanding of the challenges spread across the four pillars of our expertise: + + + + +Data Foundations: Data Engineering to Design, develop, and maintain data architecture and infrastructure, build data pipelines, etc. +BI, Data Analytics & Visualization: Design and implement data visualization solutions that enable to gain insights from the data. +Data Science & Artificial Intelligence: Implement & Develop algorithms in Deep Learning, Machine Learning & Artificial Intelligence. +Data Governance & Strategy: Strategic consultancy for acquisition and valorization of Data. + + + + +We provide a collaborative ecosystem for a new generation of pluri-disciplinary engineers who are eager to broaden their understanding of challenges across the data flow. + + + + +As a Solver in Data Science at Exsolvæ, you will be responsible for providing data-driven solutions to our clients' challenges in industries such as banking, insurance, and pharmaceutical manufacturing, ... + + + + +Job Responsibilities: + + + + +Analyzing complex data sets and extracting insights to inform decision making using software such as Python, R, and SQL. +Designing and implementing data-driven solutions using statistical and machine learning techniques. +Collaborating with clients to understand their needs and challenges, and providing recommendations. +Communicating findings and recommendations to clients in a clear and concise manner. +Continuously learning and staying up-to-date with the latest developments in the field of Data Science. +Mentoring junior team members and contributing to the development of the Data Science team. + + + + + + + +Key Requirements: + + + + +A Master's or PhD in Data Science, Computer Science, or a related field. +Strong experience in data analysis and machine learning techniques. +Excellent communication and interpersonal skills. +Proactive and able to work independently as well as part of a team. +A strong desire to learn and stay up-to-date with the latest developments in Data Science. +Fluent in English (Mandatory). +Fluency in Flemish and/or French (Mandatory). + + + + + + + +Additional Preferred Qualifications: + + + + +Programming languages such as Python, R, and SQL. +Data visualization tools such as Tableau and Matplotlib. +Hands on experience with Large Language Models and associated frameworks (OpenAI, Llamas, Langchain, ...) +Machine learning libraries and frameworks such as scikit-learn, TensorFlow, and PyTorch. +Cloud computing platforms such as AWS, Google Cloud, and Azure. +Data storage and management systems such as Hadoop, Spark, and NoSQL databases. +Collaboration and project management tools such as Jupyter and GitHub. + + + + + + + +Advantages of the Position: + + + + +Long Term Contract (CDI) +The opportunity to work on a wide range of challenging and diverse projects in industries such as banking, insurance, and pharmaceutical manufacturing. +A collaborative and supportive work environment. +Continuous learning and professional development opportunities. +Attractive salary and benefits package. +The chance to be part of a meaningful project from the start. +Show more ","
    + + + + + +
    +
    +

    The Company:


    Exsolvæ is a data consultancy based in Brussels, Belgium. We are dedicated to fostering a culture of knowledge sharing among data professionals.

    Our goal is not only to excel in one discipline, but also to gain a comprehensive understanding of the challenges spread across the four pillars of our expertise:


    1. Data Foundations: Data Engineering to Design, develop, and maintain data architecture and infrastructure, build data pipelines, etc.
    2. BI, Data Analytics & Visualization: Design and implement data visualization solutions that enable to gain insights from the data.
    3. Data Science & Artificial Intelligence: Implement & Develop algorithms in Deep Learning, Machine Learning & Artificial Intelligence.
    4. Data Governance & Strategy: Strategic consultancy for acquisition and valorization of Data.


    We provide a collaborative ecosystem for a new generation of pluri-disciplinary engineers who are eager to broaden their understanding of challenges across the data flow.


    As a Solver in Data Science at Exsolvæ, you will be responsible for providing data-driven solutions to our clients' challenges in industries such as banking, insurance, and pharmaceutical manufacturing, ...


    Job Responsibilities:


    • Analyzing complex data sets and extracting insights to inform decision making using software such as Python, R, and SQL.
    • Designing and implementing data-driven solutions using statistical and machine learning techniques.
    • Collaborating with clients to understand their needs and challenges, and providing recommendations.
    • Communicating findings and recommendations to clients in a clear and concise manner.
    • Continuously learning and staying up-to-date with the latest developments in the field of Data Science.
    • Mentoring junior team members and contributing to the development of the Data Science team.



    Key Requirements:


    • A Master's or PhD in Data Science, Computer Science, or a related field.
    • Strong experience in data analysis and machine learning techniques.
    • Excellent communication and interpersonal skills.
    • Proactive and able to work independently as well as part of a team.
    • A strong desire to learn and stay up-to-date with the latest developments in Data Science.
    • Fluent in English (Mandatory).
    • Fluency in Flemish and/or French (Mandatory).



    Additional Preferred Qualifications:


    • Programming languages such as Python, R, and SQL.
    • Data visualization tools such as Tableau and Matplotlib.
    • Hands on experience with Large Language Models and associated frameworks (OpenAI, Llamas, Langchain, ...)
    • Machine learning libraries and frameworks such as scikit-learn, TensorFlow, and PyTorch.
    • Cloud computing platforms such as AWS, Google Cloud, and Azure.
    • Data storage and management systems such as Hadoop, Spark, and NoSQL databases.
    • Collaboration and project management tools such as Jupyter and GitHub.



    Advantages of the Position:


    • Long Term Contract (CDI)
    • The opportunity to work on a wide range of challenging and diverse projects in industries such as banking, insurance, and pharmaceutical manufacturing.
    • A collaborative and supportive work environment.
    • Continuous learning and professional development opportunities.
    • Attractive salary and benefits package.
    • The chance to be part of a meaningful project from the start.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +4002778116,https://be.linkedin.com/jobs/view/applied-data-scientist-at-microsoft-4002778116?position=3&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=fmN0s2%2FL%2B%2BSEPdilOie%2Fmw%3D%3D&trk=public_jobs_jserp-result_search-card,Applied Data Scientist,Microsoft,"Flemish Region, Belgium","Microsoft’s Health and Life Sciences team is dedicated to empowering healthcare organizations ton achieve their goals and improve patient care. We aim to create an efficient and connected healthcare ecosystem by bringing the healthcare ecosystem together which empowers everyone across the healthcare journey to collaborate, communicate, and innovate together to provide better experiences for their workforces and patients or members alike. + +Our team has an exciting opportunity for an Applied Data Scientist to expand our Dragon Ambient eXperience (DAX) product to international markets. DAX listens to doctor/patient conversations and + +writes highly accurate clinical summaries of the encounter for review by the physician. DAX is an industry leading solution in the US healthcare market, and we are expanding our languages and market to include Germany and France. + +#hlsp #dax-intl + +Responsibilities + +Responsibilities include: + + +Demonstrate broad understanding of state-of-the-art in machine learning concepts and applications. +Collaborate directly with product leaders, researchers, and engineers within Microsoft Health and Life Sciences division. +Develop state-of-the-art clinical summarization technology using advanced LLM capabilities in multiple languages. +Identifies approaches, and applies, improves, or creates a research-backed solution (e.g., novel, data driven, scalable, extendable) to positively impact DAX international summarization. +Applies language expertise and knowledge of clinical documentation to create high-quality clinical summaries for European markets. +Performs data analysis by reviewing criteria that reflect quality and technical constraints. Reviews data for inclusion in model training, taking actions to address data quality problems. + + +Qualifications + +Required/Minimum Qualifications + + +Doctorate in relevant field OR equivalent experience +Demonstrated research or applied science experience in Natural Language Processing +Proven experience with LLM technologies and generative AI +Language fluency in English AND French or German, or Dutch + + +Other Requirements + +Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: + + +This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. + + +Preferred/Additional Qualifications + + +Experience in medical text analytics and/or clinical information retrieval +Experience with text summarization and/or text generation + + +Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. +Show more ","
    + + + + + +
    +
    + Microsoft’s Health and Life Sciences team is dedicated to empowering healthcare organizations ton achieve their goals and improve patient care. We aim to create an efficient and connected healthcare ecosystem by bringing the healthcare ecosystem together which empowers everyone across the healthcare journey to collaborate, communicate, and innovate together to provide better experiences for their workforces and patients or members alike.

    Our team has an exciting opportunity for an Applied Data Scientist to expand our Dragon Ambient eXperience (DAX) product to international markets. DAX listens to doctor/patient conversations and

    writes highly accurate clinical summaries of the encounter for review by the physician. DAX is an industry leading solution in the US healthcare market, and we are expanding our languages and market to include Germany and France.

    #hlsp #dax-intl

    Responsibilities

    Responsibilities include:

    • Demonstrate broad understanding of state-of-the-art in machine learning concepts and applications.
    • Collaborate directly with product leaders, researchers, and engineers within Microsoft Health and Life Sciences division.
    • Develop state-of-the-art clinical summarization technology using advanced LLM capabilities in multiple languages.
    • Identifies approaches, and applies, improves, or creates a research-backed solution (e.g., novel, data driven, scalable, extendable) to positively impact DAX international summarization.
    • Applies language expertise and knowledge of clinical documentation to create high-quality clinical summaries for European markets.
    • Performs data analysis by reviewing criteria that reflect quality and technical constraints. Reviews data for inclusion in model training, taking actions to address data quality problems.

    Qualifications

    Required/Minimum Qualifications

    • Doctorate in relevant field OR equivalent experience
    • Demonstrated research or applied science experience in Natural Language Processing
    • Proven experience with LLM technologies and generative AI
    • Language fluency in English AND French or German, or Dutch

    Other Requirements

    Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

    • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

    Preferred/Additional Qualifications

    • Experience in medical text analytics and/or clinical information retrieval
    • Experience with text summarization and/or text generation

    Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3984784374,https://be.linkedin.com/jobs/view/data-scientist-machine-learning-engineer-at-royal-military-academy-belgium-3984784374?position=5&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=tlttzxDisukU%2BMt9aI4igQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist/Machine Learning Engineer,"Royal Military Academy, Belgium","Brussels, Brussels Region, Belgium","APPLICATION BY EMAIL according to the application rules hereunder (not via LinkedIn). Please attach all the documents asked. + + + + +About the project + +On the battlefield, injured soldiers can face significant delays in medical treatment or evacuation due to ongoing hostilities and treacherous terrain. Traditional methods of casualty care rely on limited information and may put medics at unnecessary risk: medics often lack a comprehensive picture of the battlefield, hindering their ability to locate and prioritise casualties while minimising exposure to threats. The TaMaCare project emerges from this critical observation, aiming to revolutionise battlefield casualty care by creating a real-time digital twin of the frontline. More precisely, we aim to improve response times and decision-making in critical situations. The proposed digital twin aims to provide medics with a clear view of the battlefield, encompassing the location of injured soldiers, their vital signs, and any structures or potential dangers present in the vicinity. + + + + +Expected results + +The impact of TaMaCare on battlefield casualty care is multifaceted and far-reaching: + +Faster and better decision making: TaMaCare will create a digital twin of the battlefield for use by the rear echelon and decision makers, allowing faster response times and improved decision-making. The digital twin will provide real-time information of the environment, casualty location and their health status, allowing medics to make informed decisions about treatment priorities and evacuation routes, considering factors like urgency, (environmental) hazards, and resource availability. The detailed 3D map, including casualties and threats, can also be used to plan optimal evacuation routes, taking into account terrain, obstacles, and the physical condition of casualties. +Reduced risk for soldiers and medics: The digital twin will be created using unmanned systems, i.e. without putting soldiers in harm’s way. By providing a clear picture of potential threats, TaMaCare allows medics to navigate the battlefield with greater awareness and minimise their exposure to danger. +Post-action analysis: The digital twin allows for an after action analysis of the decision and actions that were made, allowing to draw lessons for future interventions. + +The benefits of TaMaCare extend beyond immediate casualty care and contribute to a broader strengthening of defence capabilities. In fact, the project fosters advancements in 3D mapping, threat detection/assessment through image processing, and Ultra-Wide Band (UWB) localization networks. These advancements have broader applications for military and civilian operations and for intelligence gathering: planning for offensive/defensive operations, re-assessment of the geometrical environment after man-made or natural calamities, improved navigation of unmanned vehicles, removal of UXO/IED (Unexploded Ordnance/Improvised Explosive Devices), etc. + + + + +Your role + +The research in TaMaCare will be performed by a Belgian consortium. The role of the researcher hired for this job offer will focus on the development of AI models and ML techniques to facilitate, automate and simplify detection of threats on the battlefield using electromagnetic (panchromatic, multispectral or hyperspectral) sensors in the visible and infrared spectrum based on their spatial or spatio-spectral signature. This knowledge will also be applied to other projects within RMA with similar needs. + + + + +Required skills + +Technical skills + +The applicant shall have a Master Degree in Engineering Science, Applied Sciences, Civil Engineering, Physics, Computer Science or Mathematics. + +Training or experience in Artificial Intelligence, Machine Learning and/or Deep Learning is essential; +Experience in programming with C++ or Python is essential; +Experience with OpenCV, PyTorch or Tensorflow is highly recommended; +Experience with Computer Vision is highly recommended; +Experience with the Robotic Operating System (ROS) or Linux is recommended; +Training or experience in multi- or hyperspectral imaging or other EO technologies is an added value; +Training or experience in processing of large scale data is an added value; +Training or experience in agile workflow methodologies is an added value; +Training or experience in applied, collaborative research is an added value; + +Other skills + +The applicant shall have very good knowledge of English (oral / written). +The applicant shall preferably have knowledge of either French or Dutch and a minimum knowledge of the other language in order to allow collaboration with peers. This will be tested during the selection process. + +Specific requirements + +Interest in starting a PhD is an added value. +The researcher may be exposed to classified information and will therefore have to obtain the required security clearance. The candidate must consent with the background check required to obtain this clearance, which will be executed by the Belgian Defence. +A driver’s licence valid in Belgium is an added value. +Working for the Patrimony requires living in Belgium for the duration of the study. + + + + +Application + +You will be working in a military environment. That is why everyone is expected to undergo a security verification. A passport issued by a country that is both member of the EU and NATO is required. Please add to your application the filled-out document. The form can be downloaded from: + +http://www.rma.ac.be/nl/aanvraag-veiligheidsverificatie (Dutch) or + +https://rma.ac.be/sites/default/files/2021-03/Demande%20d%27Avis%20de%20S%C3%A9curit%C3%A9_F.pdf (French). + +There is unfortunately no English version of this document. + +Please send your complete application by e-mail. Incomplete applications will not be considered. We do not accept applications via LinkedIn. Send ALL of the following elements to Prof Dr ir Rob HAELTERMAN (rob.haelterman@mil.be), ir Charles HAMESSE (charles.hamesse@mil.be) and Dr ir Helena BRUYNINCKX (erm-deao-rswo@mil.be): + +a CV and a motivational letter +a scan of your ID card (both sides); +the filled-out security document (Please do not forget to sign & add the denomination “GELEZEN EN GOEDGEKEURD” (Dutch) or “LU ET APPROUVE” (French)) +your relevant publications (a link to an online open access repository is acceptable) + +Please mention clearly the reference of the project in the subject line of your mail: “TaMaCare”. + +(Mails received without this reference or applications sent other than by email to all the above addresses will not be considered. Applications that do not contain all the above elements will also not be considered.) + +Application deadline: 16th of August 2024 + +The interviews will take place at the Royal Military Academy, Hobbemastraat 8, 1000 Brussels. In specific cases, on-line interviews can take place. The date and time of the interview will be communicated to the preselected candidates. + + + + +Contract + +Date of selection: September 26th 2024 +Start of contract: December 1st 2024. +This contract depends on the acceptance of a study proposal. Acceptance will only be known on September 25th. This means that the job offer is currently provisional until that date. +Status: Full-time employment (38 hours / week) based on an open-ended contract with the Patrimony of the Royal Military Academy (you will not be a civil servant). +To be very clear: your contract will be open-ended, but the financing of the contract will be tied to a project that ends on November 30th 2027. The financing of your contract beyond that period is therefore not 100% guaranteed. However, the chance that we will be able to offer a follow-up project beyond that date is high. +Wage scale: class A1 (holder of a Master's Degree in Science, doctor’s degree in the same area of expertise); class A2 (holder of an Ir degree or equivalent Master's degree in Engineering Sciences, doctor’s degree in the same area of expertise). RMA-Patrimony applies a merit-based research career track, allowing researchers to advance in wage scale based upon annual evaluations. +Holiday pay. + +Extra-legal benefits + +Possibility to benefit from a bilingualism allowance (Dutch/French) following a SELOR test; +End-of-year bonus; +Free DKV hospitalization insurance. Possibility of additional affiliation for one or more persons living under the same roof: spouse, child(ren) (50% of the price per additional member); +Bike allowance / Free public transport (home-work commute); +Free access to campus sports facilities outside working hours; +On-campus restaurant and cafeteria with democratic prices (discount on the daily menu); +Meal vouchers (6€/day) +Flexible working hours within the 38-hour week + Teleworking possible with allowance; +Holidays o 29 days holiday / year from the 1st year of contract (then from 45 years: +1 day holiday every 5 years) o + 1 week OFF every year between Christmas and New year’s Eve +Advantages and interesting offers thanks to the Benefits@work card (discounts, vouchers...); +Entitlement to services offered by the ‘Office Central d'Action Sociale et Culturelle de la Défense’ (OCASC): among others holiday centres, discount on travel organised by the tour operator...; +Possibility of benefiting from the nursery funded by Belgian Defence (subject to availability). + + + + +Workplace + +Royal Military Academy, Avenue de la Renaissance 30, 1000 Brussels; +Occasional travels abroad for scientific conferences, etc. + +Points of contact + +Concerning the research project: to Prof Dr ir Rob HAELTERMAN (rob.haelterman@mil.be ) +Concerning the recruitment modalities: Dr ir Helena Bruyninckx (erm-deao-rswo@mil.be) +For more information about the Royal Military Academy, see http://www.rma.ac.be +Show more ","
    + + + + + +
    +
    +

    APPLICATION BY EMAIL according to the application rules hereunder (not via LinkedIn). Please attach all the documents asked.


    About the project

    On the battlefield, injured soldiers can face significant delays in medical treatment or evacuation due to ongoing hostilities and treacherous terrain. Traditional methods of casualty care rely on limited information and may put medics at unnecessary risk: medics often lack a comprehensive picture of the battlefield, hindering their ability to locate and prioritise casualties while minimising exposure to threats. The TaMaCare project emerges from this critical observation, aiming to revolutionise battlefield casualty care by creating a real-time digital twin of the frontline. More precisely, we aim to improve response times and decision-making in critical situations. The proposed digital twin aims to provide medics with a clear view of the battlefield, encompassing the location of injured soldiers, their vital signs, and any structures or potential dangers present in the vicinity.


    Expected results

    The impact of TaMaCare on battlefield casualty care is multifaceted and far-reaching:

    • Faster and better decision making: TaMaCare will create a digital twin of the battlefield for use by the rear echelon and decision makers, allowing faster response times and improved decision-making. The digital twin will provide real-time information of the environment, casualty location and their health status, allowing medics to make informed decisions about treatment priorities and evacuation routes, considering factors like urgency, (environmental) hazards, and resource availability. The detailed 3D map, including casualties and threats, can also be used to plan optimal evacuation routes, taking into account terrain, obstacles, and the physical condition of casualties.
    • Reduced risk for soldiers and medics: The digital twin will be created using unmanned systems, i.e. without putting soldiers in harm’s way. By providing a clear picture of potential threats, TaMaCare allows medics to navigate the battlefield with greater awareness and minimise their exposure to danger.
    • Post-action analysis: The digital twin allows for an after action analysis of the decision and actions that were made, allowing to draw lessons for future interventions.

    The benefits of TaMaCare extend beyond immediate casualty care and contribute to a broader strengthening of defence capabilities. In fact, the project fosters advancements in 3D mapping, threat detection/assessment through image processing, and Ultra-Wide Band (UWB) localization networks. These advancements have broader applications for military and civilian operations and for intelligence gathering: planning for offensive/defensive operations, re-assessment of the geometrical environment after man-made or natural calamities, improved navigation of unmanned vehicles, removal of UXO/IED (Unexploded Ordnance/Improvised Explosive Devices), etc.


    Your role

    The research in TaMaCare will be performed by a Belgian consortium. The role of the researcher hired for this job offer will focus on the development of AI models and ML techniques to facilitate, automate and simplify detection of threats on the battlefield using electromagnetic (panchromatic, multispectral or hyperspectral) sensors in the visible and infrared spectrum based on their spatial or spatio-spectral signature. This knowledge will also be applied to other projects within RMA with similar needs.


    Required skills

    Technical skills

    The applicant shall have a Master Degree in Engineering Science, Applied Sciences, Civil Engineering, Physics, Computer Science or Mathematics.

    • Training or experience in Artificial Intelligence, Machine Learning and/or Deep Learning is essential;
    • Experience in programming with C++ or Python is essential;
    • Experience with OpenCV, PyTorch or Tensorflow is highly recommended;
    • Experience with Computer Vision is highly recommended;
    • Experience with the Robotic Operating System (ROS) or Linux is recommended;
    • Training or experience in multi- or hyperspectral imaging or other EO technologies is an added value;
    • Training or experience in processing of large scale data is an added value;
    • Training or experience in agile workflow methodologies is an added value;
    • Training or experience in applied, collaborative research is an added value;

    Other skills

    • The applicant shall have very good knowledge of English (oral / written).
    • The applicant shall preferably have knowledge of either French or Dutch and a minimum knowledge of the other language in order to allow collaboration with peers. This will be tested during the selection process.

    Specific requirements

    • Interest in starting a PhD is an added value.
    • The researcher may be exposed to classified information and will therefore have to obtain the required security clearance. The candidate must consent with the background check required to obtain this clearance, which will be executed by the Belgian Defence.
    • A driver’s licence valid in Belgium is an added value.
    • Working for the Patrimony requires living in Belgium for the duration of the study.


    Application

    You will be working in a military environment. That is why everyone is expected to undergo a security verification. A passport issued by a country that is both member of the EU and NATO is required. Please add to your application the filled-out document. The form can be downloaded from:

    http://www.rma.ac.be/nl/aanvraag-veiligheidsverificatie (Dutch) or

    https://rma.ac.be/sites/default/files/2021-03/Demande%20d%27Avis%20de%20S%C3%A9curit%C3%A9_F.pdf (French).

    There is unfortunately no English version of this document.

    Please send your complete application by e-mail. Incomplete applications will not be considered. We do not accept applications via LinkedIn. Send ALL of the following elements to Prof Dr ir Rob HAELTERMAN (rob.haelterman@mil.be), ir Charles HAMESSE (charles.hamesse@mil.be) and Dr ir Helena BRUYNINCKX (erm-deao-rswo@mil.be):

    • a CV and a motivational letter
    • a scan of your ID card (both sides);
    • the filled-out security document (Please do not forget to sign & add the denomination “GELEZEN EN GOEDGEKEURD” (Dutch) or “LU ET APPROUVE” (French))
    • your relevant publications (a link to an online open access repository is acceptable)

    Please mention clearly the reference of the project in the subject line of your mail: “TaMaCare”.

    (Mails received without this reference or applications sent other than by email to all the above addresses will not be considered. Applications that do not contain all the above elements will also not be considered.)

    Application deadline: 16th of August 2024

    The interviews will take place at the Royal Military Academy, Hobbemastraat 8, 1000 Brussels. In specific cases, on-line interviews can take place. The date and time of the interview will be communicated to the preselected candidates.


    Contract

    • Date of selection: September 26th 2024
    • Start of contract: December 1st 2024.
    • This contract depends on the acceptance of a study proposal. Acceptance will only be known on September 25th. This means that the job offer is currently provisional until that date.
    • Status: Full-time employment (38 hours / week) based on an open-ended contract with the Patrimony of the Royal Military Academy (you will not be a civil servant).
    • To be very clear: your contract will be open-ended, but the financing of the contract will be tied to a project that ends on November 30th 2027. The financing of your contract beyond that period is therefore not 100% guaranteed. However, the chance that we will be able to offer a follow-up project beyond that date is high.
    • Wage scale: class A1 (holder of a Master's Degree in Science, doctor’s degree in the same area of expertise); class A2 (holder of an Ir degree or equivalent Master's degree in Engineering Sciences, doctor’s degree in the same area of expertise). RMA-Patrimony applies a merit-based research career track, allowing researchers to advance in wage scale based upon annual evaluations.
    • Holiday pay.

    Extra-legal benefits

    • Possibility to benefit from a bilingualism allowance (Dutch/French) following a SELOR test;
    • End-of-year bonus;
    • Free DKV hospitalization insurance. Possibility of additional affiliation for one or more persons living under the same roof: spouse, child(ren) (50% of the price per additional member);
    • Bike allowance / Free public transport (home-work commute);
    • Free access to campus sports facilities outside working hours;
    • On-campus restaurant and cafeteria with democratic prices (discount on the daily menu);
    • Meal vouchers (6€/day)
    • Flexible working hours within the 38-hour week + Teleworking possible with allowance;
    • Holidays o 29 days holiday / year from the 1st year of contract (then from 45 years: +1 day holiday every 5 years) o + 1 week OFF every year between Christmas and New year’s Eve
    • Advantages and interesting offers thanks to the Benefits@work card (discounts, vouchers...);
    • Entitlement to services offered by the ‘Office Central d'Action Sociale et Culturelle de la Défense’ (OCASC): among others holiday centres, discount on travel organised by the tour operator...;
    • Possibility of benefiting from the nursery funded by Belgian Defence (subject to availability).


    Workplace

    • Royal Military Academy, Avenue de la Renaissance 30, 1000 Brussels;
    • Occasional travels abroad for scientific conferences, etc.

    Points of contact

    • Concerning the research project: to Prof Dr ir Rob HAELTERMAN (rob.haelterman@mil.be )
    • Concerning the recruitment modalities: Dr ir Helena Bruyninckx (erm-deao-rswo@mil.be)
    • For more information about the Royal Military Academy, see http://www.rma.ac.be
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-26,[] +4001557485,https://be.linkedin.com/jobs/view/data-science-internship-at-euroconsumers-4001557485?position=6&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=JGYn3wBViF3jrzDvHTHNig%3D%3D&trk=public_jobs_jserp-result_search-card,Data Science Internship,euroconsumers,"Brussels, Brussels Region, Belgium","What is Euroconsumers? + +As a leader in the consumer organization, Euroconsumers has been dedicated to promoting consumers’ rights for over 60 years. They provide various services to their members, including researching, testing, and evaluating products and services to help consumers make informed decisions. Their goal is to empower consumers to protect themselves from unfair practices and promote transparency in the marketplace. + + + + +Euroconsumers also advocates for consumer rights at a national and European level through lobbying and policy work. With their headquarters in Brussels, they represent over 1 million consumers in 4 countries across Europe. Their network of independent organizations has made them a leading voice for consumers in Europe. In conclusion, Euroconsumers is an organization committed to protecting consumers’ rights and promoting transparency in the marketplace. + + + + +What will you be working on? + +Euroconsumers collects and analyses data about food products to inform consumers about the quality of these products. Next to testing these food products in laboratories Euroconsumers also collects information from the labels on these food products by taking pictures of the packaging. These pictures are subsequently read by OCR tools and extracted to internal databases. This process currently contains inefficiencies (such as requiring manual interventions to verify and correct the scanned data). + + + + +Your mission as an intern is to assess alternative approaches to extract information from the pictures using machine learning techniques and assess the impact of these techniques on the performance of the collection process (i.e. quality of the extraction and amount of post processing required). + + + + +What do we offer to you? + +Hands-on experience in a dynamic and challenging environment. +Exposure to an internal R&D project with a focus on a practical application. +Mentorship and guidance from experienced professionals. +Warm and open company culture. +Hybrid working environment with 2-3 days per week at our office in Brussels (near Midi Station). + + + + +What do we expect from you? + +Positive attitude with an excellent work ethic and strong attention to detail. +Good command of English, both written and spoken. +Strong programming background in Python. +Experience with the Data Science ecosystem of libraries in Python (Pandas, Scikit-learn, PyTorch, Keras) +Experience in computer vision, specifically in Optical Character Recognition (OCR), using either traditional or Deep Learning based approaches. + + + + +How to apply? + +To apply for the Internship position, please send your resume and cover letter to job@test-aankoop.be or apply via LinkedIn. + +Be sure to mention “Euroconsumers – Data Science Internship” in the subject line of your email. + + + + +We look forward to meeting you! + +Show more ","
    + + + + + +
    +
    +

    What is Euroconsumers?

    As a leader in the consumer organization, Euroconsumers has been dedicated to promoting consumers’ rights for over 60 years. They provide various services to their members, including researching, testing, and evaluating products and services to help consumers make informed decisions. Their goal is to empower consumers to protect themselves from unfair practices and promote transparency in the marketplace.


    Euroconsumers also advocates for consumer rights at a national and European level through lobbying and policy work. With their headquarters in Brussels, they represent over 1 million consumers in 4 countries across Europe. Their network of independent organizations has made them a leading voice for consumers in Europe. In conclusion, Euroconsumers is an organization committed to protecting consumers’ rights and promoting transparency in the marketplace.


    What will you be working on?

    Euroconsumers collects and analyses data about food products to inform consumers about the quality of these products. Next to testing these food products in laboratories Euroconsumers also collects information from the labels on these food products by taking pictures of the packaging. These pictures are subsequently read by OCR tools and extracted to internal databases. This process currently contains inefficiencies (such as requiring manual interventions to verify and correct the scanned data).


    Your mission as an intern is to assess alternative approaches to extract information from the pictures using machine learning techniques and assess the impact of these techniques on the performance of the collection process (i.e. quality of the extraction and amount of post processing required).


    What do we offer to you?

    • Hands-on experience in a dynamic and challenging environment.
    • Exposure to an internal R&D project with a focus on a practical application.
    • Mentorship and guidance from experienced professionals.
    • Warm and open company culture.
    • Hybrid working environment with 2-3 days per week at our office in Brussels (near Midi Station).


    What do we expect from you?

    • Positive attitude with an excellent work ethic and strong attention to detail.
    • Good command of English, both written and spoken.
    • Strong programming background in Python.
    • Experience with the Data Science ecosystem of libraries in Python (Pandas, Scikit-learn, PyTorch, Keras)
    • Experience in computer vision, specifically in Optical Character Recognition (OCR), using either traditional or Deep Learning based approaches.


    How to apply?

    To apply for the Internship position, please send your resume and cover letter to job@test-aankoop.be or apply via LinkedIn.

    Be sure to mention “Euroconsumers – Data Science Internship” in the subject line of your email.


    We look forward to meeting you!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3999429501,https://be.linkedin.com/jobs/view/data-scientist-at-european-dynamics-3999429501?position=7&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=9ybuQpFPmKng3BHo4XTnIQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,EUROPEAN DYNAMICS,"Brussels, Brussels Region, Belgium","We currently have a vacancy for a Data Scientist fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company's premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client's IT team on site. + +Your tasks + + +Collect business requirement and develop advanced data mining solutions; +Identify, assess and deploy relevant existing data mining, machine learning and business intelligence solution; +Specification and design of presentation interfaces with optimal usability/user experience; +Identify, collect, convert and update different data types/sets in several locations (e.g. ETL); +Produce data models according to specific problems statements; +Scripting and programming; +Contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc...); +Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies + + + +Requirements + + +University degree in IT or relevant discipline, combined with minimum 17 years of relevant working experience in IT; +Experience in Azure; +Experience in using the suite of PowerApps; +Experience with languages like R, Python, PERL; +Experience in data visualization using power BI; +Excellent knowledge of Power app developer, low code and no code development; +Excellent knowledge of Data Analytics techniques and tools; +Excellent knowledge of continuous code delivery and unit testing; +Excellent knowledge of SharePoint Online; +Good knowledge of business intelligence tools (Tableau, SAS, SAP, GoodData...); +Good knowledge of ETL processes and tools (i.e. Talend Open Studio...); +Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL); +Knowledge of architectural design and implementation of scalable modern data stores; +Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection in datasets, recommendation systems; +Certifications in Microsoft Azure would be considered an asset; +Excellent command of the English language. + + + +Benefits + +If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (91559/08/24). + +We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. + +You may also consider all our other open vacancies by visiting the career section of our web site (www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. + +EUROPEAN DYNAMICS (www.eurodyn.com)is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 250 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. + +As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. + +EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy. + +Furthermore, when providing your data, it is up to you to explicitly consent that your data can be assessed for future job openings, for as long as you do not withdraw such consent. If you do not consent, we will not be able to consider the data you provide to us for future job openings. +Show more ","
    + + + + + +
    +
    + We currently have a vacancy for a Data Scientist fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company's premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client's IT team on site.

    Your tasks

    • Collect business requirement and develop advanced data mining solutions;
    • Identify, assess and deploy relevant existing data mining, machine learning and business intelligence solution;
    • Specification and design of presentation interfaces with optimal usability/user experience;
    • Identify, collect, convert and update different data types/sets in several locations (e.g. ETL);
    • Produce data models according to specific problems statements;
    • Scripting and programming;
    • Contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc...);
    • Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies


    Requirements

    • University degree in IT or relevant discipline, combined with minimum 17 years of relevant working experience in IT;
    • Experience in Azure;
    • Experience in using the suite of PowerApps;
    • Experience with languages like R, Python, PERL;
    • Experience in data visualization using power BI;
    • Excellent knowledge of Power app developer, low code and no code development;
    • Excellent knowledge of Data Analytics techniques and tools;
    • Excellent knowledge of continuous code delivery and unit testing;
    • Excellent knowledge of SharePoint Online;
    • Good knowledge of business intelligence tools (Tableau, SAS, SAP, GoodData...);
    • Good knowledge of ETL processes and tools (i.e. Talend Open Studio...);
    • Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL);
    • Knowledge of architectural design and implementation of scalable modern data stores;
    • Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection in datasets, recommendation systems;
    • Certifications in Microsoft Azure would be considered an asset;
    • Excellent command of the English language.


    Benefits

    If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (91559/08/24).

    We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.

    You may also consider all our other open vacancies by visiting the career section of our web site (www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.

    EUROPEAN DYNAMICS (www.eurodyn.com)is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 250 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes.

    As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.

    EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

    Furthermore, when providing your data, it is up to you to explicitly consent that your data can be assessed for future job openings, for as long as you do not withdraw such consent. If you do not consent, we will not be able to consider the data you provide to us for future job openings. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +4004161880,https://be.linkedin.com/jobs/view/data-scientist-at-cream-consulting-4004161880?position=8&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=%2FdbEWqNcCya6HiW5J%2BSivg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Cream Consulting,"Brussels, Brussels Region, Belgium","Permanent position only + + + + +WHAT IS CREAM ALL ABOUT? + +We could be a Cream Factory, a cooking blog or even a detective agency…but in reality, we are a consulting company in Business & Technology active in large organizations and industry leaders in Banking, Insurance, Telecom, Energy, Pharmaceutical & Transport. + + + + +CREAM’S SPECIAL RECIPE: + +1/3 of Personal development +1/3 of Collective Intelligence +1/3 of Intrapreneurship + +Bonus ingredient: … Some passionate colleagues 😀 + + + + +WHAT IS A DATA SCIENTIST AT CREAM? + +As Robin, Data Scientist, you will have a key role in the implementation of innovative data models to solve specific business issues. You will be part of a challenging and multidisciplinary team. You will discover various industries. + + + + +YOUR TASKS: + +You gather business requirements to better understand your client’s needs +You dive in a large amount of data to discover is hidden +You provide data-driven recommendations to the client +Based on your client’s needs, you apply predictive analysis and machine learning +You bring out concrete and predictive models +At the end, you help the business to better optimize the use of their data +data + + + + +HOW DO WE IMAGINE OUR FUTURE CONSULTANT? + +You have at least 2 years of experience in Data Science +You want to learn more about Machine Learning, Robotics Process Automation (RPA)… +You are used to work with one of the following technologies : MATLAB, R, SAS, Python, Java … +You have good communication and synthesis skills +You are fluent in French and English; a good knowledge of Dutch is an asset + + + + +WHY SHOULD YOU TASTE CREAM/THE LIME FLAVOUR? + +A broad diversity of career options: you’re not stuck in a box +You evolve in a learning environment where you can challenge your knowledge with your colleagues +You grow in a company that is at the leading edge of technology +You have the opportunity to bring new ideas to develop a thriving company +We have values we share, live with, experiment every day + +We just hire great people and give them the playing field to become awesome! + + + + +""THE LITTLE THING THAT CAN MAKE THE DIFFERENCE, + +CREAM IS DEVELOPING A DIVERSITY PLAN AND WOULD LIKE THAT ALL ITS MEMBERS REFLECT THE SOCIETY IN ALL ITS DIVERSITY"" + +Show more ","
    + + + + + +
    +
    +

    Permanent position only


    WHAT IS CREAM ALL ABOUT?

    We could be a Cream Factory, a cooking blog or even a detective agency…but in reality, we are a consulting company in Business & Technology active in large organizations and industry leaders in Banking, Insurance, Telecom, Energy, Pharmaceutical & Transport.


    CREAM’S SPECIAL RECIPE:

    • 1/3 of Personal development
    • 1/3 of Collective Intelligence
    • 1/3 of Intrapreneurship

    Bonus ingredient: … Some passionate colleagues 😀


    WHAT IS A DATA SCIENTIST AT CREAM?

    As Robin, Data Scientist, you will have a key role in the implementation of innovative data models to solve specific business issues. You will be part of a challenging and multidisciplinary team. You will discover various industries.


    YOUR TASKS:

    • You gather business requirements to better understand your client’s needs
    • You dive in a large amount of data to discover is hidden
    • You provide data-driven recommendations to the client
    • Based on your client’s needs, you apply predictive analysis and machine learning
    • You bring out concrete and predictive models
    • At the end, you help the business to better optimize the use of their data
    • data


    HOW DO WE IMAGINE OUR FUTURE CONSULTANT?

    • You have at least 2 years of experience in Data Science
    • You want to learn more about Machine Learning, Robotics Process Automation (RPA)…
    • You are used to work with one of the following technologies : MATLAB, R, SAS, Python, Java …
    • You have good communication and synthesis skills
    • You are fluent in French and English; a good knowledge of Dutch is an asset


    WHY SHOULD YOU TASTE CREAM/THE LIME FLAVOUR?

    • A broad diversity of career options: you’re not stuck in a box
    • You evolve in a learning environment where you can challenge your knowledge with your colleagues
    • You grow in a company that is at the leading edge of technology
    • You have the opportunity to bring new ideas to develop a thriving company
    • We have values we share, live with, experiment every day

    We just hire great people and give them the playing field to become awesome!


    ""THE LITTLE THING THAT CAN MAKE THE DIFFERENCE,

    CREAM IS DEVELOPING A DIVERSITY PLAN AND WOULD LIKE THAT ALL ITS MEMBERS REFLECT THE SOCIETY IN ALL ITS DIVERSITY""

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3994454518,https://www.linkedin.com/jobs/view/data-scientist-at-further-3994454518?position=9&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=fH52yY4%2F5lJpkkqoO8kFMA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,FURTHER,European Union,"About FURTHER + +FURTHER is the leading AI-powered customer acquisition platform for senior care and healthcare organizations. Our digital experience platform and sales automation solutions make it easier for consumers to buy and easier for sales teams to sell, increasing conversion rates and driving incremental revenue for our clients. FURTHER is the only data platform in the industry that connects first-party marketing and sales data, making it easier for client marketing teams to be data-driven. FURTHER works with over 4,500 care communities and delivered $1.5B of revenue to our customers in 2023. + +The Role + +At Further, we transform data into actionable insights to drive our systems and solutions. We seek a creative and curious LLM engineer to join our team. If you have a Natural Language Processing and Software Engineering background, you’ll thrive in this role by developing and improving robust conversational agents that take their users to the next level. You'll collaborate with specialists to ""slice and dice"" data, develop conversational agents, identify enhancements, and deliver innovative solutions. + + +Collaborate with product design and engineering teams to understand business and data needs. +Develop, test, and deploy robust conversational agents that meet user needs and project requirements. +Continuously improve the natural language understanding (NLU) and overall performance of conversational agents through customization and optimization techniques. +Implement context-aware conversations and design conversation flows that handle complex user queries effectively. +Develop and execute test plans to assess agent performance, identifying areas for improvement and iterating on data, prompts, and workflows. +Communicate findings to stakeholders effectively. +Stay current with industry developments and technical advancements. + + +What You’ll Own + + +Collect, clean, and preprocess data to ensure quality and reliability. +Explore and visualize data to identify patterns, trends, and relationships +Train, evaluate, and deploy customized LLMs. +Test and refine models to ensure their effectiveness. +Monitor model performance and make necessary adjustments. +Present results and suggestions through clear visuals and concise reports. + + +What You’ll Bring + + +At least 5 years of professional experience as a Data Scientist or Engineer +Business level English verbal and writing. +A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. +A minimum of two years experience as an ML engineer. +Proficiency in data manipulation and analysis tools like SQL and Pandas. +Familiarity with Data Warehousing. +Experience in developing, evaluating, deploying, running, and maintaining ML models. +A strong understanding of AI agents, natural language processing, and machine learning concepts. +At least 5 years of experience using LLMs and LLM-enabled programs in a professional, academic, or personal context, including exploring how they work and how to use them effectively. +Experience with LangChain or other AI agent frameworks. +Experience with LLM observability. +Familiarity with the optimal use of LLMs, the tradeoff between fine-tuning and RAG, etc. +Familiarity with prompt engineering best practices. +Familiarity with data structures for ML and AI programs, including RAG and vector databases. +Experience with building systems and infrastructure is preferred. +Strong problem-solving and critical-thinking skills. +Excellent communication and presentation skills. + + +Equal Opportunity Employer + +We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you. + +FURTHER is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. FURTHER considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. FURTHER is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. + + +Show more ","
    + + + + + +
    +
    + About FURTHER

    FURTHER is the leading AI-powered customer acquisition platform for senior care and healthcare organizations. Our digital experience platform and sales automation solutions make it easier for consumers to buy and easier for sales teams to sell, increasing conversion rates and driving incremental revenue for our clients. FURTHER is the only data platform in the industry that connects first-party marketing and sales data, making it easier for client marketing teams to be data-driven. FURTHER works with over 4,500 care communities and delivered $1.5B of revenue to our customers in 2023.

    The Role

    At Further, we transform data into actionable insights to drive our systems and solutions. We seek a creative and curious LLM engineer to join our team. If you have a Natural Language Processing and Software Engineering background, you’ll thrive in this role by developing and improving robust conversational agents that take their users to the next level. You'll collaborate with specialists to ""slice and dice"" data, develop conversational agents, identify enhancements, and deliver innovative solutions.

    • Collaborate with product design and engineering teams to understand business and data needs.
    • Develop, test, and deploy robust conversational agents that meet user needs and project requirements.
    • Continuously improve the natural language understanding (NLU) and overall performance of conversational agents through customization and optimization techniques.
    • Implement context-aware conversations and design conversation flows that handle complex user queries effectively.
    • Develop and execute test plans to assess agent performance, identifying areas for improvement and iterating on data, prompts, and workflows.
    • Communicate findings to stakeholders effectively.
    • Stay current with industry developments and technical advancements.

    What You’ll Own

    • Collect, clean, and preprocess data to ensure quality and reliability.
    • Explore and visualize data to identify patterns, trends, and relationships
    • Train, evaluate, and deploy customized LLMs.
    • Test and refine models to ensure their effectiveness.
    • Monitor model performance and make necessary adjustments.
    • Present results and suggestions through clear visuals and concise reports.

    What You’ll Bring

    • At least 5 years of professional experience as a Data Scientist or Engineer
    • Business level English verbal and writing.
    • A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
    • A minimum of two years experience as an ML engineer.
    • Proficiency in data manipulation and analysis tools like SQL and Pandas.
    • Familiarity with Data Warehousing.
    • Experience in developing, evaluating, deploying, running, and maintaining ML models.
    • A strong understanding of AI agents, natural language processing, and machine learning concepts.
    • At least 5 years of experience using LLMs and LLM-enabled programs in a professional, academic, or personal context, including exploring how they work and how to use them effectively.
    • Experience with LangChain or other AI agent frameworks.
    • Experience with LLM observability.
    • Familiarity with the optimal use of LLMs, the tradeoff between fine-tuning and RAG, etc.
    • Familiarity with prompt engineering best practices.
    • Familiarity with data structures for ML and AI programs, including RAG and vector databases.
    • Experience with building systems and infrastructure is preferred.
    • Strong problem-solving and critical-thinking skills.
    • Excellent communication and presentation skills.

    Equal Opportunity Employer

    We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.

    FURTHER is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. FURTHER considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. FURTHER is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +4006581408,https://be.linkedin.com/jobs/view/machine-learning-engineer-at-quantum-world-technologies-inc-4006581408?position=12&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=3BroUYoED2IeNrxxk24GOw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Quantum World Technologies Inc.,"Brussels Region, Belgium","Job Role - Machine Learning Ops Engineer + + + + +Location – Brussels Belgium + + + + +Job Description: + + + + +o Candidate Must have 5+ years of work experience with Python, and AI/ML standard libraries such as pandas, scikit-learn, xgboost. + + + + +Nice-to-haves: + + + + + Data processing libraries and frameworks (pydantic, pandera) + + Web frameworks (such as FastAPI, Flask) + + CLI frameworks (Typer, Click) + + General MLOps tools and frameworks (MLFlow, Azure ML Studio) + + Version control tools for ML datasets and models (DVC, Azure ML Dataset) + + Monitoring libraries and solutions (such as NannyML, Evidently AI) + + Distributed processing libraries and frameworks (such as Ray, Dask, PySpark) + + Pipeline-building and orchestration libraries (such as Metaflow, ZenML, Kedro, Airflow, Dagster) + + General Python development tool (pytest, coverage, tox, mypy, black, ruff, uv, pip-compile) + + + + +o You can write both object-oriented and functional code, and understand concepts such as (de)coupling, coherence, inheritance, and composition. + +o You make sure the code that you and your colleagues write is thoroughly tested (unit, integration, end-to-end, stress/performance). + +o You love and regularly use data validation and type hints. + +o You know how to turn a messy jupyter notebook into a production-grade piece of code. + + Although we'll apply all possible preventive measure to prevent this from ever happening. + +o You know how to package a Python application or library for distribution + +o You are a proficient GIT user, able to collaborate with multiple developers on multiple repositories while following best practices related to branching, merging, and code reviews. + +• You have a good understanding of Machine Learning algorithms and their applications in NLP. + +• You have work experience with at least one Cloud Provider, preferably Azure Cloud. + +• You have experience with Unix/Linux command line tools and scripting (shell, bash): + +o VIP club membership if you have at least once ran `rm -rf` on production data. + +• You possess the foundational Data Engineering skills, allowing you to interact with the Data Engineering team, and analyze and troubleshoot data pipelines if needed: + +o You could handle using SQL to extract, transform, and load data (ETL/ELT). + +o Experience with the Hadoop ecosystem (Spark, Kafka, Hive, Impala…) is a plus. + + Experience with the Cloudera distribution is an additional plus + +• You understand the modern MLOps framework and the complexities it adds to DevOps. + +o You are able to identify the MLOps maturity gaps and provide inputs for modernization efforts. + +Non-technical + +• You have strong verbal and written communication skills as well as good customer relationship skills to present complex concepts and/or the results of a use case to different audiences (from end users up to division management). + +• You have experience of working in large, complex enterprises and have stoically accepted it as your fate. + +• You are not allergic to legacy technology, yet are always on the lookout for modernization opportunities. + +• You stay up-to-date with new tools, technologies, and approaches within the domain. + +• You are a well-integrated team player. + +• You are able to estimate your short-term effort with reasonable accuracy and get the work done in the time frame you commit to. + +• You successfully swim in the waters of Agile project management techniques (scrum boards, standups, demos, reviews). + +• You stand to promote MLOps and advocate for its usage and necessity across the organization. + +• Must love mentoring and sharing knowledge. + + + + +• University degree in software engineering OR Data Science/Machine Learning/Data Engineering OR a related quantitative field, combined with strong IT skills. + + + + +• 5+ years of experience with Python + +• 2+ years of experience in using DevOps/CI/CD practices. + +• 2+ years of experience in deploying AI solutions to production + +Show more ","
    + + + + + +
    +
    +

    Job Role - Machine Learning Ops Engineer


    Location – Brussels Belgium


    Job Description:


    o Candidate Must have 5+ years of work experience with Python, and AI/ML standard libraries such as pandas, scikit-learn, xgboost.


    Nice-to-haves:


     Data processing libraries and frameworks (pydantic, pandera)

     Web frameworks (such as FastAPI, Flask)

     CLI frameworks (Typer, Click)

     General MLOps tools and frameworks (MLFlow, Azure ML Studio)

     Version control tools for ML datasets and models (DVC, Azure ML Dataset)

     Monitoring libraries and solutions (such as NannyML, Evidently AI)

     Distributed processing libraries and frameworks (such as Ray, Dask, PySpark)

     Pipeline-building and orchestration libraries (such as Metaflow, ZenML, Kedro, Airflow, Dagster)

     General Python development tool (pytest, coverage, tox, mypy, black, ruff, uv, pip-compile)


    o You can write both object-oriented and functional code, and understand concepts such as (de)coupling, coherence, inheritance, and composition.

    o You make sure the code that you and your colleagues write is thoroughly tested (unit, integration, end-to-end, stress/performance).

    o You love and regularly use data validation and type hints.

    o You know how to turn a messy jupyter notebook into a production-grade piece of code.

     Although we'll apply all possible preventive measure to prevent this from ever happening.

    o You know how to package a Python application or library for distribution

    o You are a proficient GIT user, able to collaborate with multiple developers on multiple repositories while following best practices related to branching, merging, and code reviews.

    • You have a good understanding of Machine Learning algorithms and their applications in NLP.

    • You have work experience with at least one Cloud Provider, preferably Azure Cloud.

    • You have experience with Unix/Linux command line tools and scripting (shell, bash):

    o VIP club membership if you have at least once ran `rm -rf` on production data.

    • You possess the foundational Data Engineering skills, allowing you to interact with the Data Engineering team, and analyze and troubleshoot data pipelines if needed:

    o You could handle using SQL to extract, transform, and load data (ETL/ELT).

    o Experience with the Hadoop ecosystem (Spark, Kafka, Hive, Impala…) is a plus.

     Experience with the Cloudera distribution is an additional plus

    • You understand the modern MLOps framework and the complexities it adds to DevOps.

    o You are able to identify the MLOps maturity gaps and provide inputs for modernization efforts.

    Non-technical

    • You have strong verbal and written communication skills as well as good customer relationship skills to present complex concepts and/or the results of a use case to different audiences (from end users up to division management).

    • You have experience of working in large, complex enterprises and have stoically accepted it as your fate.

    • You are not allergic to legacy technology, yet are always on the lookout for modernization opportunities.

    • You stay up-to-date with new tools, technologies, and approaches within the domain.

    • You are a well-integrated team player.

    • You are able to estimate your short-term effort with reasonable accuracy and get the work done in the time frame you commit to.

    • You successfully swim in the waters of Agile project management techniques (scrum boards, standups, demos, reviews).

    • You stand to promote MLOps and advocate for its usage and necessity across the organization.

    • Must love mentoring and sharing knowledge.


    • University degree in software engineering OR Data Science/Machine Learning/Data Engineering OR a related quantitative field, combined with strong IT skills.


    • 5+ years of experience with Python

    • 2+ years of experience in using DevOps/CI/CD practices.

    • 2+ years of experience in deploying AI solutions to production

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4006592276,https://be.linkedin.com/jobs/view/data-scientist-at-jss-associates-4006592276?position=13&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=7L0mlOhBrMWraydACuy9%2Fw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,JSS ASSOCIATES,"Brussels, Brussels Region, Belgium","Job Description: + +o You have 5+ years of work experience with Python, and AI/ML standard libraries such as pandas, scikit-learn, xgboost + + Nice-to-haves: + + Data processing libraries and frameworks (pydantic, pandera) + + Web frameworks (such as FastAPI, Flask, ...) + + CLI frameworks (Typer, Click, ...) + + General MLOps tools and frameworks (MLFlow, Azure ML Studio, ...) + + Version control tools for ML datasets and models (DVC, Azure ML Dataset, ...) + + Monitoring libraries and solutions (such as NannyML, Evidently AI, ...) + + Distributed processing libraries and frameworks (such as Ray, Dask, PySpark, ...) + + Pipeline-building and orchestration libraries (such as Metaflow, ZenML, Kedro, Airflow, Dagster, ...) + + General Python development tool (pytest, coverage, tox, mypy, black, ruff, uv, pip-compile, ...) + +o You can write both object-oriented and functional code, and understand concepts such as (de)coupling, coherence, inheritance, composition. + +o You make sure the code that you and your colleagues write is thoroughly tested (unit, integration, end-to-end, stress/performance). + +o You love and regularly use data validation and type hints. + +o You know how to turn a messy jupyter notebook into a production-grade piece of code. + + Although we'll apply all possible preventive measure to prevent this from ever happening. + +o You know how to package a python application or library for distribution + +o You are a proficient GIT user, able to collaborate with multiple developers on multiple repositories, while following best practices related to branching, merging and code reviews. + +• You have a good understanding of Machine Learning algorithms and their applications in NLP. + +• You have work experience with at least one Cloud Provider, preferably Azure Cloud. + +• You have experience with Unix/Linux command line tools and scripting (shell, bash): + +o VIP club membership if you have at least once ran `rm -rf` on production data. + +• You possess the foundational Data Engineering skills, allowing you to interact with the Data Engineering team, and analyze and troubleshoot data pipelines if needed: + +o You could handle using SQL to extract, transform and load data (ETL/ELT). + +o Experience with the Hadoop ecosystem (Spark, Kafka, Hive, Impala…) is a plus. + + Experience with the Cloudera distribution is an additional plus + +• You understand the modern MLOps framework and complexities it adds to DevOps. + +o You are able to identify the MLOps maturity gaps and provide inputs for modernization efforts. + +Non-technical + +• You have strong verbal and written communication skills as well as good customer relationship skills to present complex concepts and/or the results of a use case to different audiences (from end users up to division management). + +• You have experience of working in large, complex enterprises and have stoically accepted it as your fate. + +• You are not allergic to legacy technology, yet are always on the lookout for modernization opportunities. + +• You stay up-to-date with new tools, technologies and approaches within the domain. + +• You are a well-integrated team player. + +• You are able to estimate your short-term effort with reasonable accuracy and get the work done in the time frame you commit to. + +• You successfully swim in the waters of Agile project management techniques (scrum boards, standups, demos, reviews). + +• You stand to promote MLOps and advocate for its usage and necessity across the organization. + +• Must love mentoring and sharing knowledge. + +• University degree in software engineering OR Data Science/Machine Learning/Data Engineering OR a related quantitative field, combined with strong IT skills. + +• 5+ years of experience with Python + +• 2+ years of experience of using DevOps/CI/CD practices. + +• 2+ years of experience in deploying AI solutions to production + +Show more ","
    + + + + + +
    +
    +

    Job Description:

    o You have 5+ years of work experience with Python, and AI/ML standard libraries such as pandas, scikit-learn, xgboost

     Nice-to-haves:

     Data processing libraries and frameworks (pydantic, pandera)

     Web frameworks (such as FastAPI, Flask, ...)

     CLI frameworks (Typer, Click, ...)

     General MLOps tools and frameworks (MLFlow, Azure ML Studio, ...)

     Version control tools for ML datasets and models (DVC, Azure ML Dataset, ...)

     Monitoring libraries and solutions (such as NannyML, Evidently AI, ...)

     Distributed processing libraries and frameworks (such as Ray, Dask, PySpark, ...)

     Pipeline-building and orchestration libraries (such as Metaflow, ZenML, Kedro, Airflow, Dagster, ...)

     General Python development tool (pytest, coverage, tox, mypy, black, ruff, uv, pip-compile, ...)

    o You can write both object-oriented and functional code, and understand concepts such as (de)coupling, coherence, inheritance, composition.

    o You make sure the code that you and your colleagues write is thoroughly tested (unit, integration, end-to-end, stress/performance).

    o You love and regularly use data validation and type hints.

    o You know how to turn a messy jupyter notebook into a production-grade piece of code.

     Although we'll apply all possible preventive measure to prevent this from ever happening.

    o You know how to package a python application or library for distribution

    o You are a proficient GIT user, able to collaborate with multiple developers on multiple repositories, while following best practices related to branching, merging and code reviews.

    • You have a good understanding of Machine Learning algorithms and their applications in NLP.

    • You have work experience with at least one Cloud Provider, preferably Azure Cloud.

    • You have experience with Unix/Linux command line tools and scripting (shell, bash):

    o VIP club membership if you have at least once ran `rm -rf` on production data.

    • You possess the foundational Data Engineering skills, allowing you to interact with the Data Engineering team, and analyze and troubleshoot data pipelines if needed:

    o You could handle using SQL to extract, transform and load data (ETL/ELT).

    o Experience with the Hadoop ecosystem (Spark, Kafka, Hive, Impala…) is a plus.

     Experience with the Cloudera distribution is an additional plus

    • You understand the modern MLOps framework and complexities it adds to DevOps.

    o You are able to identify the MLOps maturity gaps and provide inputs for modernization efforts.

    Non-technical

    • You have strong verbal and written communication skills as well as good customer relationship skills to present complex concepts and/or the results of a use case to different audiences (from end users up to division management).

    • You have experience of working in large, complex enterprises and have stoically accepted it as your fate.

    • You are not allergic to legacy technology, yet are always on the lookout for modernization opportunities.

    • You stay up-to-date with new tools, technologies and approaches within the domain.

    • You are a well-integrated team player.

    • You are able to estimate your short-term effort with reasonable accuracy and get the work done in the time frame you commit to.

    • You successfully swim in the waters of Agile project management techniques (scrum boards, standups, demos, reviews).

    • You stand to promote MLOps and advocate for its usage and necessity across the organization.

    • Must love mentoring and sharing knowledge.

    • University degree in software engineering OR Data Science/Machine Learning/Data Engineering OR a related quantitative field, combined with strong IT skills.

    • 5+ years of experience with Python

    • 2+ years of experience of using DevOps/CI/CD practices.

    • 2+ years of experience in deploying AI solutions to production

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +3994600154,https://www.linkedin.com/jobs/view/data-scientist-at-hays-3994600154?position=14&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=DVAEaiZrKW3kwWNL0lI0Iw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Hays,European Union,"We are looking for a Data Scientist specialising in Cloud Platforms (m/f/d) for our German client. + + + + +Start: beginning / middle of September 2024 + +before. End: 31.12.2024 + +Scope: approx. 4 days per week + +Location: completely remote possible + + + + +Tasks: + +* Develop and deploy Natural Language Processing (NLP) models in production environments. + +* Work extensively with Large Language Models (LLMs) APIs. + +* Engage in prompt-engineering, fine-tuning, and evaluation of LLMs to ensure high performance and relevance. + +* Collaborate with cross-functional agile software development teams to integrate LLM solutions into healthcare products. + +* Implement MLOps practices to streamline the deployment and maintenance of machine learning models. + +* Continuously monitor and improve model performance and adapt to new challenges and datasets. + +* Document processes, model architectures, and performance metrics for internal and external stakeholders. + +* Stay up to date with advancements in Gen AI + + + + +Skills: + +* Strong programming skills in languages such as Python and familiarity with NLP libraries and frameworks like PyTorch, Hugging Face, etc. + +* Experience with cloud platforms like AWS, GCP, or Azure + +* Successful projects / background in Biotech or Pharma companies + +* Experience in prompt-engineering, fine-tuning and evaluation of LLMs. + +Show more ","
    + + + + + +
    +
    +

    We are looking for a Data Scientist specialising in Cloud Platforms (m/f/d) for our German client.


    Start: beginning / middle of September 2024

    before. End: 31.12.2024

    Scope: approx. 4 days per week

    Location: completely remote possible


    Tasks:

    * Develop and deploy Natural Language Processing (NLP) models in production environments.

    * Work extensively with Large Language Models (LLMs) APIs.

    * Engage in prompt-engineering, fine-tuning, and evaluation of LLMs to ensure high performance and relevance.

    * Collaborate with cross-functional agile software development teams to integrate LLM solutions into healthcare products.

    * Implement MLOps practices to streamline the deployment and maintenance of machine learning models.

    * Continuously monitor and improve model performance and adapt to new challenges and datasets.

    * Document processes, model architectures, and performance metrics for internal and external stakeholders.

    * Stay up to date with advancements in Gen AI


    Skills:

    * Strong programming skills in languages such as Python and familiarity with NLP libraries and frameworks like PyTorch, Hugging Face, etc.

    * Experience with cloud platforms like AWS, GCP, or Azure

    * Successful projects / background in Biotech or Pharma companies

    * Experience in prompt-engineering, fine-tuning and evaluation of LLMs.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3958140383,https://be.linkedin.com/jobs/view/machine-learning-engineer-at-proximus-group-3958140383?position=15&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=IdHEtGQu2u4%2BKIWf3if9Xw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Proximus Group,"Brussels, Brussels Region, Belgium","As an Machine Learning Engineer, you will play a key role in developing end-to-end solutions for AI use cases. By taking up a use case right from the start you will help business define and scope the problem, pick the right ML solution and technology as well as ensure implementation, integration and deployment of your solution to production. You will do so while ensuring that our internal governance processes and best practices are respected. You will also collaborate with other team members in knowledge sharing as well as continuously improving our way of working. + +Responsibilities + + +Develop AI applications using state-of-the-art (Gen)AI technology; +Translate business requests into AI applications; +Identify high-value use cases through data exploration and visualization; +Pilot prototypes in production processes to demonstrate their value; +Deploy prototypes to production, with support of IT, to obtain reliable, scalable systems; +Present your results in a clear manner and discuss them with multi-functional project teams; +Work in close collaboration with business experts (e.g. for requirement gathering, data source identification, data and process understanding, feature engineering, result validation, etc.), with IT (e.g. for ETL, deployment to production, etc.) and with other AI engineers in the team (e.g. for knowledge sharing). + + + +Profile + + +PhD or Master's degree in a quantitative field (Artificial Intelligence, Computer Science, Engineering, Mathematics, etc.) +3+ years of relevant work experience in a business environment + + + +Technical Skills + + +Hands-on experience with Python and its AI ecosystem; +Strong knowledge of state-of-the-art AI and statistical methods; +Experience with cloud technology (Azure); +Experience using LLM’s and commonly used libraries to interact with LLM’s (Langchain, Llamaindex, ...); +Proven proficiency in the end-to-end AI project life cycle, including: +Translating business requests into data requirements. +Identifying high-value use cases through data exploration and visualization. +Developing AI solutions (incl. feature engineering, model fitting, etc.). +Deploying scalable AI applications to production. +Any experience with following elements is a big plus: +MLOps practices, e.g. orchestration with Airflow, Gitlab CI/CD, etc. +Containerized deployment of ML products – e.g. docker, podman, Kubernetes + + + +Attitudes/Behavior + + +Passionate about AI and a constant learner; +Result-oriented and highly proficient in transforming data into actionable insights that create business value; +Team player with strong communication and presentation skills; +Able to manage AI projects in an autonomous way and drive collaboration with domain experts, data engineers and other AI engineers; +Knowledge in the field of telecommunications is a plus. + + + +Languages + + +Fluent in Dutch and/or French (mandatory) + Fluent in English. + + + +Show more ","
    + + + + + +
    +
    + As an Machine Learning Engineer, you will play a key role in developing end-to-end solutions for AI use cases. By taking up a use case right from the start you will help business define and scope the problem, pick the right ML solution and technology as well as ensure implementation, integration and deployment of your solution to production. You will do so while ensuring that our internal governance processes and best practices are respected. You will also collaborate with other team members in knowledge sharing as well as continuously improving our way of working.

    Responsibilities

    • Develop AI applications using state-of-the-art (Gen)AI technology;
    • Translate business requests into AI applications;
    • Identify high-value use cases through data exploration and visualization;
    • Pilot prototypes in production processes to demonstrate their value;
    • Deploy prototypes to production, with support of IT, to obtain reliable, scalable systems;
    • Present your results in a clear manner and discuss them with multi-functional project teams;
    • Work in close collaboration with business experts (e.g. for requirement gathering, data source identification, data and process understanding, feature engineering, result validation, etc.), with IT (e.g. for ETL, deployment to production, etc.) and with other AI engineers in the team (e.g. for knowledge sharing).


    Profile

    • PhD or Master's degree in a quantitative field (Artificial Intelligence, Computer Science, Engineering, Mathematics, etc.)
    • 3+ years of relevant work experience in a business environment


    Technical Skills

    • Hands-on experience with Python and its AI ecosystem;
    • Strong knowledge of state-of-the-art AI and statistical methods;
    • Experience with cloud technology (Azure);
    • Experience using LLM’s and commonly used libraries to interact with LLM’s (Langchain, Llamaindex, ...);
    • Proven proficiency in the end-to-end AI project life cycle, including:
    • Translating business requests into data requirements.
    • Identifying high-value use cases through data exploration and visualization.
    • Developing AI solutions (incl. feature engineering, model fitting, etc.).
    • Deploying scalable AI applications to production.
    • Any experience with following elements is a big plus:
    • MLOps practices, e.g. orchestration with Airflow, Gitlab CI/CD, etc.
    • Containerized deployment of ML products – e.g. docker, podman, Kubernetes


    Attitudes/Behavior

    • Passionate about AI and a constant learner;
    • Result-oriented and highly proficient in transforming data into actionable insights that create business value;
    • Team player with strong communication and presentation skills;
    • Able to manage AI projects in an autonomous way and drive collaboration with domain experts, data engineers and other AI engineers;
    • Knowledge in the field of telecommunications is a plus.


    Languages

    • Fluent in Dutch and/or French (mandatory) + Fluent in English.


    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3865266644,https://be.linkedin.com/jobs/view/data-scientist-at-tobania-a-sopra-steria-company-3865266644?position=18&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=sEFCdUhFwO1AbQvzZ3m%2F2A%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Tobania a Sopra Steria Company,"Brussels, Brussels Region, Belgium","What can you expect? + +Python Predictions is currently looking for a Data Scientist. As we are growing fast, we are looking for people to support and participate in this growth. We are looking for a person with a passion for data science, interested in leading concrete business projects in a wide variety of domains and applications. + +In this role, you will work closely with other Data Profiles from Python Predictions but also from our clients’ internal teams. You will lead the way and participate in multiple advanced analytics projects from the ideation phase to the value delivery. Every step of the way, you will ensure the quality of the analytical solution as well as the actionability towards the business stakeholders. + +Does this sound like your ideal day-to-day drill? Then don’t wait any longer and let’s meet. + + + + +Who are we looking for? + +You have multiple years of experience in a variety of data science applications (not all, but not limited to one either). +You understand that organizations today should make the most of the available information, in order to turn this information into value. You have acquired relevant skills through your past experiences. +You are as proficient in Python as you are in English, Dutch or French (all other (programming) languages are a plus). +You are motivated by obtaining concrete deliverables and results. You want to make a difference for the organizations you work for, and you like to be recognized for your input. +You can work independently, but you also appreciate collaboration. You are open-minded and have no fear of expressing your opinion in a constructive way. +You have experience in project management and people management. + + + + +What do we have to offer? + +Python Predictions is a Brussels-based service provider specialized in data projects with business impact. +In January 2020, Python Predictions joined Tobania – a leading Belgian business & technology consulting firm. And in turn, in March 2023, Tobania joined Sopra Steria – a major Tech player in Europe recognized for its consulting, digital services and software development. +Great variation in job content due to short and long term missions in different industries, different domains and different environments. +A competitive salary, with plenty of fringe benefits. +A diverse team of supportive colleagues with different backgrounds, skills and interests but shared values who’ll make you feel right at home. +The opportunity to turn these new colleagues into friends during our legendary afterwork drinks and other exciting events. +In-company training adapted to your personal needs. +Continuous learning in monthly team meetings and personal development time. +A chance to exploit your talents in our Tobania.Academy and on-the-job coaching. +A workstation at one of our customers’ offices, at Python’s Brussels office but also at any Tobania’s location! + +Discover our Tobania galaxy + +Show more ","
    + + + + + +
    +
    +

    What can you expect?

    Python Predictions is currently looking for a Data Scientist. As we are growing fast, we are looking for people to support and participate in this growth. We are looking for a person with a passion for data science, interested in leading concrete business projects in a wide variety of domains and applications.

    In this role, you will work closely with other Data Profiles from Python Predictions but also from our clients’ internal teams. You will lead the way and participate in multiple advanced analytics projects from the ideation phase to the value delivery. Every step of the way, you will ensure the quality of the analytical solution as well as the actionability towards the business stakeholders.

    Does this sound like your ideal day-to-day drill? Then don’t wait any longer and let’s meet.


    Who are we looking for?

    • You have multiple years of experience in a variety of data science applications (not all, but not limited to one either).
    • You understand that organizations today should make the most of the available information, in order to turn this information into value. You have acquired relevant skills through your past experiences.
    • You are as proficient in Python as you are in English, Dutch or French (all other (programming) languages are a plus).
    • You are motivated by obtaining concrete deliverables and results. You want to make a difference for the organizations you work for, and you like to be recognized for your input.
    • You can work independently, but you also appreciate collaboration. You are open-minded and have no fear of expressing your opinion in a constructive way.
    • You have experience in project management and people management.


    What do we have to offer?

    • Python Predictions is a Brussels-based service provider specialized in data projects with business impact.
    • In January 2020, Python Predictions joined Tobania – a leading Belgian business & technology consulting firm. And in turn, in March 2023, Tobania joined Sopra Steria – a major Tech player in Europe recognized for its consulting, digital services and software development.
    • Great variation in job content due to short and long term missions in different industries, different domains and different environments.
    • A competitive salary, with plenty of fringe benefits.
    • A diverse team of supportive colleagues with different backgrounds, skills and interests but shared values who’ll make you feel right at home.
    • The opportunity to turn these new colleagues into friends during our legendary afterwork drinks and other exciting events.
    • In-company training adapted to your personal needs.
    • Continuous learning in monthly team meetings and personal development time.
    • A chance to exploit your talents in our Tobania.Academy and on-the-job coaching.
    • A workstation at one of our customers’ offices, at Python’s Brussels office but also at any Tobania’s location!

    Discover our Tobania galaxy

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3983313464,https://be.linkedin.com/jobs/view/data-scientist-engineer-at-devoteam-3983313464?position=19&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=q1lVlk642%2FON7jj99EEySA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist Engineer,Devoteam,"Machelen, Flemish Region, Belgium"," +Company Description + +Devoteam is a leading consulting firm focused on digital strategy, tech platforms and cybersecurity. By combining creativity, tech and data insights, we empower our customers to transform their business and unlock the future. With 25 years’ experience and 10,000 employees across Europe, the Middle East and Africa, Devoteam promotes responsible tech for people and works to create better change. + +Join our global community of exceptional talents at Devoteam, where you’ll collaborate with multidisciplinary teams of data specialists, product designers, business consultants, security experts, cloud engineers, developers, and more across over 20 countries in the EMEA region. As a member of our team, you’ll have the opportunity to work with the world’s leading partners, including AWS, Google Cloud, Microsoft, and ServiceNow, driving innovation and advancing your career. + + +Job Description + +Are you passionate about data-driven platforms, machine learning models, and innovative applications? As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. Each mission we undertake has clear deliverables and deadlines, ensuring you gain diverse experience. For example, one month you might develop a predictive maintenance model, and the next, a customer segmentation model for a retail client. + +Key Responsibilities: + +Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks. +Data Management: Gather, prepare, and manage data for analysis. +Model Research: Investigate and select appropriate machine learning models. +ML Modeling: Develop and refine machine learning models. +Client Collaboration: Spend approximately 50% of your time working directly with clients, either independently or as part of a team. + + + +Your Role: + +Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python. +Develop predictive and machine learning models tailored to client needs. +Advise clients on translating their business requirements into technical solutions using machine learning techniques. +Stay updated on the latest trends in machine learning and AI, sharing insights with clients. +Act as a strategic partner to client Data Science teams, helping them navigate their challenges and aspirations. +Inspire clients with new data-driven opportunities. +Bring best practices in Git, DevOps, and CICD to enhance client data platforms. +Collaborate with Data Scientists, Data Engineers, and Business Stakeholders. +Represent Devoteam both online and offline, showcasing our expertise. + + +Qualifications + +About You: + +Reside in Belgium. +Hold a university degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI. +Have a solid understanding of various machine learning models (e.g., SVM, RNN, Deep Learning) and their applications. +Possess foundational knowledge of Data Science, including sampling techniques and evaluation metrics. +Proficient in SQL and Python. +Experience with Spark and/or cloud ecosystems is a must. +Eager to learn and passionate about data and machine learning technologies. +Excited to join a dynamic and growing team. +Fluent in English; proficiency in Dutch or French is mandatory  + + + +  + + +Additional Information + +Why choose us? + +Cutting-edge Technology: Embrace the latest advancements in IT and digital technologies as we constantly innovate to stay ahead of the competition. Our commitment to adopting state-of-the-art tools and methodologies ensures that you'll work on projects at the forefront of the industry. +Entrepreneur mindset: We value our people over processes. You will develop and grow in an agile and ambitious company where it’s okay to take risks, make mistakes and change plans to find transformative solutions. At the same time, you will learn from the best, building relationships and skills that will last your entire career. +Endless Learning Opportunities: We value personal and professional growth. Through workshops, conferences, and certifications, we offer the resources needed to expand your skill set and reach new heights in your career. +Connect with amazing people: You will become part of a network of +10,000 Devoteamers spread over 20 countries. +Collaborative Culture: Teamwork is at the heart of our organisation. You'll be working side by side with a diverse group of IT experts who share your passion for excellence and will inspire you to think outside the box. +Impactful Projects: Tackle real-world challenges that matter! From revolutionising business processes to developing innovative solutions, you'll have the chance to make a genuine and positive impact on our clients and the community. +Work-Life Balance: We believe in a healthy work-life balance, ensuring that you have time to unwind, pursue your hobbies, and spend quality time with loved ones. +Inspiring and eco-friendly workplace: We just moved to an amazing new building. We believe an inspiring workspace fuels creativity and fosters a positive work culture, allowing our employees to reach their full potential. The Wings building is also designed with eco-friendly features and energy-efficient systems. By reducing our ecological footprint, we are contributing to a greener future and aligning our business practices with our environmental values. The building is also very easily accessible by public transportation.  +Competitive package: We offer a competitive salary package with additional benefits like a company car, smartphone, medical insurance, pension plan, net allowance, laptop, meal vouchers, etc. We review our salary grid twice a year to ensure we are in line with the market. + +At Devoteam, we combine strong values – respect, frankness, ambition, entrepreneurship & collaboration - with a fun environment that empowers you to innovate and succeed. + +>>> Does all this sound compelling to you? Go for it and click that apply button! + +Show more ","
    + + + + + +
    +
    +
    Company Description

    Devoteam is a leading consulting firm focused on digital strategy, tech platforms and cybersecurity. By combining creativity, tech and data insights, we empower our customers to transform their business and unlock the future. With 25 years’ experience and 10,000 employees across Europe, the Middle East and Africa, Devoteam promotes responsible tech for people and works to create better change.

    Join our global community of exceptional talents at Devoteam, where you’ll collaborate with multidisciplinary teams of data specialists, product designers, business consultants, security experts, cloud engineers, developers, and more across over 20 countries in the EMEA region. As a member of our team, you’ll have the opportunity to work with the world’s leading partners, including AWS, Google Cloud, Microsoft, and ServiceNow, driving innovation and advancing your career.


    Job Description

    Are you passionate about data-driven platforms, machine learning models, and innovative applications? As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. Each mission we undertake has clear deliverables and deadlines, ensuring you gain diverse experience. For example, one month you might develop a predictive maintenance model, and the next, a customer segmentation model for a retail client.

    Key Responsibilities:
    • Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks.
    • Data Management: Gather, prepare, and manage data for analysis.
    • Model Research: Investigate and select appropriate machine learning models.
    • ML Modeling: Develop and refine machine learning models.
    • Client Collaboration: Spend approximately 50% of your time working directly with clients, either independently or as part of a team.


    Your Role:
    • Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python.
    • Develop predictive and machine learning models tailored to client needs.
    • Advise clients on translating their business requirements into technical solutions using machine learning techniques.
    • Stay updated on the latest trends in machine learning and AI, sharing insights with clients.
    • Act as a strategic partner to client Data Science teams, helping them navigate their challenges and aspirations.
    • Inspire clients with new data-driven opportunities.
    • Bring best practices in Git, DevOps, and CICD to enhance client data platforms.
    • Collaborate with Data Scientists, Data Engineers, and Business Stakeholders.
    • Represent Devoteam both online and offline, showcasing our expertise.


    Qualifications

    About You:
    • Reside in Belgium.
    • Hold a university degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI.
    • Have a solid understanding of various machine learning models (e.g., SVM, RNN, Deep Learning) and their applications.
    • Possess foundational knowledge of Data Science, including sampling techniques and evaluation metrics.
    • Proficient in SQL and Python.
    • Experience with Spark and/or cloud ecosystems is a must.
    • Eager to learn and passionate about data and machine learning technologies.
    • Excited to join a dynamic and growing team.
    • Fluent in English; proficiency in Dutch or French is mandatory 


     


    Additional Information

    Why choose us?
    1. Cutting-edge Technology: Embrace the latest advancements in IT and digital technologies as we constantly innovate to stay ahead of the competition. Our commitment to adopting state-of-the-art tools and methodologies ensures that you'll work on projects at the forefront of the industry.
    2. Entrepreneur mindset: We value our people over processes. You will develop and grow in an agile and ambitious company where it’s okay to take risks, make mistakes and change plans to find transformative solutions. At the same time, you will learn from the best, building relationships and skills that will last your entire career.
    3. Endless Learning Opportunities: We value personal and professional growth. Through workshops, conferences, and certifications, we offer the resources needed to expand your skill set and reach new heights in your career.
    4. Connect with amazing people: You will become part of a network of +10,000 Devoteamers spread over 20 countries.
    5. Collaborative Culture: Teamwork is at the heart of our organisation. You'll be working side by side with a diverse group of IT experts who share your passion for excellence and will inspire you to think outside the box.
    6. Impactful Projects: Tackle real-world challenges that matter! From revolutionising business processes to developing innovative solutions, you'll have the chance to make a genuine and positive impact on our clients and the community.
    7. Work-Life Balance: We believe in a healthy work-life balance, ensuring that you have time to unwind, pursue your hobbies, and spend quality time with loved ones.
    8. Inspiring and eco-friendly workplace: We just moved to an amazing new building. We believe an inspiring workspace fuels creativity and fosters a positive work culture, allowing our employees to reach their full potential. The Wings building is also designed with eco-friendly features and energy-efficient systems. By reducing our ecological footprint, we are contributing to a greener future and aligning our business practices with our environmental values. The building is also very easily accessible by public transportation. 
    9. Competitive package: We offer a competitive salary package with additional benefits like a company car, smartphone, medical insurance, pension plan, net allowance, laptop, meal vouchers, etc. We review our salary grid twice a year to ensure we are in line with the market.
    At Devoteam, we combine strong values – respect, frankness, ambition, entrepreneurship & collaboration - with a fun environment that empowers you to innovate and succeed.

    >>> Does all this sound compelling to you? Go for it and click that apply button!
     +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-17,[] +3958575382,https://be.linkedin.com/jobs/view/machine-learning-engineer-at-proximus-ada-3958575382?position=20&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=xqgj7rUbmZ0QRvkdTeAMtw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Proximus Ada,"Brussels, Brussels Region, Belgium","As an Machine Learning Engineer, you will play a key role in developing end-to-end solutions for AI use cases. By taking up a use case right from the start you will help business define and scope the problem, pick the right ML solution and technology as well as ensure implementation, integration and deployment of your solution to production. You will do so while ensuring that our internal governance processes and best practices are respected. You will also collaborate with other team members in knowledge sharing as well as continuously improving our way of working. + + + + +Responsibilities + +Develop AI applications using state-of-the-art (Gen)AI technology; +Translate business requests into AI applications; +Identify high-value use cases through data exploration and visualization; +Pilot prototypes in production processes to demonstrate their value; +Deploy prototypes to production, with support of IT, to obtain reliable, scalable systems; +Present your results in a clear manner and discuss them with multi-functional project teams; +Work in close collaboration with business experts (e.g. for requirement gathering, data source identification, data and process understanding, feature engineering, result validation, etc.), with IT (e.g. for ETL, deployment to production, etc.) and with other AI engineers in the team (e.g. for knowledge sharing). + + + + +Profile + +PhD or Master's degree in a quantitative field (Artificial Intelligence, Computer Science, Engineering, Mathematics, etc.) +3+ years of relevant work experience in a business environment + + + + +Technical skills + +Hands-on experience with Python and its AI ecosystem; +Strong knowledge of state-of-the-art AI and statistical methods; +Experience with cloud technology (Azure); +Experience using LLM’s and commonly used libraries to interact with LLM’s (Langchain, Llamaindex, ...); +Proven proficiency in the end-to-end AI project life cycle, including: + +-Translating business requests into data requirements. + +- Identifying high-value use cases through data exploration and visualization. + +- Developing AI solutions (incl. feature engineering, model fitting, etc.). + +- Deploying scalable AI applications to production. + +Any experience with following elements is a big plus: + +- MLOps practices, e.g. orchestration with Airflow, Gitlab CI/CD, etc. + +- Containerized deployment of ML products – e.g. docker, podman, Kubernetes + + + + +Attitudes/Behavior + +Passionate about AI and a constant learner; +Result-oriented and highly proficient in transforming data into actionable insights that create business value; +Team player with strong communication and presentation skills; +Able to manage AI projects in an autonomous way and drive collaboration with domain experts, data engineers and other AI engineers; +Knowledge in the field of telecommunications is a plus. + + + + +Languages + +Fluent in Dutch and/or French (mandatory) + Fluent in English. + + + + +Show more ","
    + + + + + +
    +
    +

    As an Machine Learning Engineer, you will play a key role in developing end-to-end solutions for AI use cases. By taking up a use case right from the start you will help business define and scope the problem, pick the right ML solution and technology as well as ensure implementation, integration and deployment of your solution to production. You will do so while ensuring that our internal governance processes and best practices are respected. You will also collaborate with other team members in knowledge sharing as well as continuously improving our way of working.


    Responsibilities

    • Develop AI applications using state-of-the-art (Gen)AI technology;
    • Translate business requests into AI applications;
    • Identify high-value use cases through data exploration and visualization;
    • Pilot prototypes in production processes to demonstrate their value;
    • Deploy prototypes to production, with support of IT, to obtain reliable, scalable systems;
    • Present your results in a clear manner and discuss them with multi-functional project teams;
    • Work in close collaboration with business experts (e.g. for requirement gathering, data source identification, data and process understanding, feature engineering, result validation, etc.), with IT (e.g. for ETL, deployment to production, etc.) and with other AI engineers in the team (e.g. for knowledge sharing).


    Profile

    • PhD or Master's degree in a quantitative field (Artificial Intelligence, Computer Science, Engineering, Mathematics, etc.)
    • 3+ years of relevant work experience in a business environment


    Technical skills

    • Hands-on experience with Python and its AI ecosystem;
    • Strong knowledge of state-of-the-art AI and statistical methods;
    • Experience with cloud technology (Azure);
    • Experience using LLM’s and commonly used libraries to interact with LLM’s (Langchain, Llamaindex, ...);
    • Proven proficiency in the end-to-end AI project life cycle, including:

    -Translating business requests into data requirements.

    - Identifying high-value use cases through data exploration and visualization.

    - Developing AI solutions (incl. feature engineering, model fitting, etc.).

    - Deploying scalable AI applications to production.

    • Any experience with following elements is a big plus:

    - MLOps practices, e.g. orchestration with Airflow, Gitlab CI/CD, etc.

    - Containerized deployment of ML products – e.g. docker, podman, Kubernetes


    Attitudes/Behavior

    • Passionate about AI and a constant learner;
    • Result-oriented and highly proficient in transforming data into actionable insights that create business value;
    • Team player with strong communication and presentation skills;
    • Able to manage AI projects in an autonomous way and drive collaboration with domain experts, data engineers and other AI engineers;
    • Knowledge in the field of telecommunications is a plus.


    Languages

    • Fluent in Dutch and/or French (mandatory) + Fluent in English.


    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +3899046018,https://be.linkedin.com/jobs/view/data-scientist-h-f-at-littlebigcode-3899046018?position=21&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=9foSwGHXlbYMceVnKDS8qA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist (H/F),LittleBigCode,"Brussels, Brussels Region, Belgium","LittleBigCode is a digital consulting laboratory specializing in Data and Artificial Intelligence. Our mission is to democratize the use of these technologies by co-building useful applications with our customers for the Society of the future, particularly on subjects related to health, mobility or the environment. + + + + +For this, we deliver turnkey projects and also work on consulting assignments while developing our own solutions. Finally, we combine Cloud technologies, AGILE methods and DevOps culture to facilitate industrialization and scaling up. + + + + +Our big success so far: + +A community of more than 40 enthusiasts of Data Science & Data Engineering domains +International presence & missions – we are launching our new office in Belgium! +Workshops, Innovation contests, customers challenges taken up + + + + +As such, we are looking to build our technical team in Belgium ! Join us ! + + + + +What will be your tasks with us ? + + + + +You will work in Agile mode and you will support our client on their challenges related to Data and production. + + + + +You will be working in the following areas: + +Business case study with business teams +Analysis of customer data and processes in order to study their valuation +Elaboration of Data Science solutions +Going into production with Data Engineers +Creation of POC, model development +Ensure a technological watch in order to propose innovations + + + + +Who are you ? + +You have a Master in engineering (Computer Science, Mathematics, Statistics…) and you have some experiences as a Data Scientist ! +You have bases in the realization of POC, the development of models and applications starting from- scratch as well as in the putting into production +You master programming best practices such as code versionning (git), IDE use (PyCharm fore.g.), testing, use of CI/CD tools +You are fully proficient in Python, Machine learning & Deep learning frameworks (Scikit-Learn & Tensorflow for e.g.) and DataViz tools +You have experiences with Data services of at least one the major Cloud Provider (Azure, AWS, GCP) +You are familiar with some of the following domains: time series, NLP, Computer Vision, reinforcement learning, IoT +Note that we are also big devotees of DevOps so the more you are comfortable with it, all the better! +Fluent in English + in Dutch and/or French +Show more ","
    + + + + + +
    +
    +

    LittleBigCode is a digital consulting laboratory specializing in Data and Artificial Intelligence. Our mission is to democratize the use of these technologies by co-building useful applications with our customers for the Society of the future, particularly on subjects related to health, mobility or the environment.


    For this, we deliver turnkey projects and also work on consulting assignments while developing our own solutions. Finally, we combine Cloud technologies, AGILE methods and DevOps culture to facilitate industrialization and scaling up.


    Our big success so far:

    • A community of more than 40 enthusiasts of Data Science & Data Engineering domains
    • International presence & missions – we are launching our new office in Belgium!
    • Workshops, Innovation contests, customers challenges taken up


    As such, we are looking to build our technical team in Belgium ! Join us !


    What will be your tasks with us ?


    You will work in Agile mode and you will support our client on their challenges related to Data and production.


    You will be working in the following areas:

    • Business case study with business teams
    • Analysis of customer data and processes in order to study their valuation
    • Elaboration of Data Science solutions
    • Going into production with Data Engineers
    • Creation of POC, model development
    • Ensure a technological watch in order to propose innovations


    Who are you ?

    • You have a Master in engineering (Computer Science, Mathematics, Statistics…) and you have some experiences as a Data Scientist !
    • You have bases in the realization of POC, the development of models and applications starting from- scratch as well as in the putting into production
    • You master programming best practices such as code versionning (git), IDE use (PyCharm fore.g.), testing, use of CI/CD tools
    • You are fully proficient in Python, Machine learning & Deep learning frameworks (Scikit-Learn & Tensorflow for e.g.) and DataViz tools
    • You have experiences with Data services of at least one the major Cloud Provider (Azure, AWS, GCP)
    • You are familiar with some of the following domains: time series, NLP, Computer Vision, reinforcement learning, IoT
    • Note that we are also big devotees of DevOps so the more you are comfortable with it, all the better!
    • Fluent in English + in Dutch and/or French
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +4000176235,https://www.linkedin.com/jobs/view/ai-data-scientist-at-red-global-4000176235?position=24&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=VsJ5XOSJsj6fsoAHdnT3Bw%3D%3D&trk=public_jobs_jserp-result_search-card,AI Data Scientist,RED Global,European Union,"Data Scientist - Freelance - €45 per hour + + + + +For our international client we are looking for a Data Scientist to join an international project with our customer. + + + + +Project details: + +• Start: ASAP + +• Duration: 6 month (+ option to extend) + +• Workload: 5 days a week + +• Location: Remote + +• Language: English + + + + +Responsibilities: + + + + +• In-depth experience in data modelling and using data analytically tools and techniques (e.g., Python, SQL, Hadoop, R, Data Bricks) + +• Understanding of vector databases + +• In-depth experience with statistical models and data mining algorithms + +• Knowledge and experience in statistical and data mining techniques such as Natural Language Processing / Text Analytics, Random Forest, Boosting, etc. + +• Experience in using advanced machine learning algorithms and models such as: classification, regression, clustering, decision trees, etc. + +• Coding knowledge and experience with several languages: Python, C, C++, Java, etc. + +• Retrieval Augmented Generation (RAG) skills + +• Understanding of cloud computing and data privacy concepts + +• Ability to understand business requirements and project objectives + +• Ability to understand and analyze use case data + +• Ability to prepare and organize data for data modelling + +• Evaluation skills. Assess quality and robustness of models to meet business objectives and adjust models. + +• Deployment skills. Deploy models and share results with stakeholders. + +• Ability to manage data lakes end to end from creation to maintenance + +Show more ","
    + + + + + +
    +
    +

    Data Scientist - Freelance - €45 per hour


    For our international client we are looking for a Data Scientist to join an international project with our customer.


    Project details:

    • Start: ASAP

    • Duration: 6 month (+ option to extend)

    • Workload: 5 days a week

    • Location: Remote

    • Language: English


    Responsibilities:


    • In-depth experience in data modelling and using data analytically tools and techniques (e.g., Python, SQL, Hadoop, R, Data Bricks)

    • Understanding of vector databases

    • In-depth experience with statistical models and data mining algorithms

    • Knowledge and experience in statistical and data mining techniques such as Natural Language Processing / Text Analytics, Random Forest, Boosting, etc.

    • Experience in using advanced machine learning algorithms and models such as: classification, regression, clustering, decision trees, etc.

    • Coding knowledge and experience with several languages: Python, C, C++, Java, etc.

    • Retrieval Augmented Generation (RAG) skills

    • Understanding of cloud computing and data privacy concepts

    • Ability to understand business requirements and project objectives

    • Ability to understand and analyze use case data

    • Ability to prepare and organize data for data modelling

    • Evaluation skills. Assess quality and robustness of models to meet business objectives and adjust models.

    • Deployment skills. Deploy models and share results with stakeholders.

    • Ability to manage data lakes end to end from creation to maintenance

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +3987717370,https://be.linkedin.com/jobs/view/ai-research-engineer-at-generative-3987717370?position=25&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=etzTAZUudGahHmdY0Xyikw%3D%3D&trk=public_jobs_jserp-result_search-card,AI Research Engineer,Generative,"Leuven, Flemish Region, Belgium","About Our Client + +Our client is an early-stage, deep-tech start-up at the forefront of developing cutting-edge AI-driven technology. They are fueled by a strong sense of mission and enthusiasm, striving to democratize data-driven decision-making on a global scale. They collaborate with leading organizations and are backed by veteran entrepreneurs and angel investors. + + + + +Role Overview + +We are seeking an ambitious AI Research Engineer to join our client's team in Leuven. This role is instrumental in developing a next-generation financial digital twin powered by a causal, human-in-the-loop, automated, multivariate time-series forecasting engine. This engine utilizes a custom AI stack and proprietary algorithms developed by our client’s technical founders at a renowned machine learning lab. + + + + +Key Responsibilities + + + + +AI Research and Development: + +Conduct research to develop innovative AI models and algorithms. +Experiment with and implement state-of-the-art AI techniques to improve product performance. +Set up experiments to test algorithm performance, evaluate results, and design improvements. +Collaborate with academic and industry partners to stay at the forefront of AI advancements. + + + + +Continuous Improvement: + +Stay updated with the latest AI research, tools, and technologies. +Identify and suggest improvements to existing AI models and processes for enhanced performance and scalability. +Participate in conferences, workshops, and seminars to keep abreast of AI advancements. + + + + +Documentation and Communication: + +Create and maintain documentation for research findings, algorithms, and development processes. +Communicate effectively with team members and stakeholders regarding research progress, technical challenges, and project requirements. +Assist the CTO in creating technical presentations and reports to intuitively convey complex ideas and roadmaps. + + + + +Mentorship and Knowledge Sharing: + +Provide guidance and mentorship to junior researchers and interns. +Share knowledge and best practices with the team to foster a collaborative and innovative research environment. + + + + +Qualifications + + + + +Proven experience (3+ years) in AI research and development, ideally in a startup or fast-paced environment. +Proficiency in programming languages such as Python and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, SciKit-learn). +Strong understanding of AI techniques, including machine learning, time-series forecasting, probabilistic reasoning, and deep learning. +Strong communication skills and ability to work effectively in a team. +Advanced degree (Master’s or PhD) in Computer Science, AI, Machine Learning, or a related field, or equivalent practical experience. +Pragmatic problem-solving skills. + + + + +Nice to Haves: + +Experience in data engineering, including designing and managing data pipelines and workflows. +Experience with multivariate time-series forecasting (including seasonality and trend analysis). + +Show more ","
    + + + + + +
    +
    +

    About Our Client

    Our client is an early-stage, deep-tech start-up at the forefront of developing cutting-edge AI-driven technology. They are fueled by a strong sense of mission and enthusiasm, striving to democratize data-driven decision-making on a global scale. They collaborate with leading organizations and are backed by veteran entrepreneurs and angel investors.


    Role Overview

    We are seeking an ambitious AI Research Engineer to join our client's team in Leuven. This role is instrumental in developing a next-generation financial digital twin powered by a causal, human-in-the-loop, automated, multivariate time-series forecasting engine. This engine utilizes a custom AI stack and proprietary algorithms developed by our client’s technical founders at a renowned machine learning lab.


    Key Responsibilities


    AI Research and Development:

    • Conduct research to develop innovative AI models and algorithms.
    • Experiment with and implement state-of-the-art AI techniques to improve product performance.
    • Set up experiments to test algorithm performance, evaluate results, and design improvements.
    • Collaborate with academic and industry partners to stay at the forefront of AI advancements.


    Continuous Improvement:

    • Stay updated with the latest AI research, tools, and technologies.
    • Identify and suggest improvements to existing AI models and processes for enhanced performance and scalability.
    • Participate in conferences, workshops, and seminars to keep abreast of AI advancements.


    Documentation and Communication:

    • Create and maintain documentation for research findings, algorithms, and development processes.
    • Communicate effectively with team members and stakeholders regarding research progress, technical challenges, and project requirements.
    • Assist the CTO in creating technical presentations and reports to intuitively convey complex ideas and roadmaps.


    Mentorship and Knowledge Sharing:

    • Provide guidance and mentorship to junior researchers and interns.
    • Share knowledge and best practices with the team to foster a collaborative and innovative research environment.


    Qualifications


    • Proven experience (3+ years) in AI research and development, ideally in a startup or fast-paced environment.
    • Proficiency in programming languages such as Python and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, SciKit-learn).
    • Strong understanding of AI techniques, including machine learning, time-series forecasting, probabilistic reasoning, and deep learning.
    • Strong communication skills and ability to work effectively in a team.
    • Advanced degree (Master’s or PhD) in Computer Science, AI, Machine Learning, or a related field, or equivalent practical experience.
    • Pragmatic problem-solving skills.


    Nice to Haves:

    • Experience in data engineering, including designing and managing data pipelines and workflows.
    • Experience with multivariate time-series forecasting (including seasonality and trend analysis).

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-30,[] +3988396680,https://be.linkedin.com/jobs/view/machine-learning-engineer-lead-llm-python-genai-at-yo-hr-consultancy-3988396680?position=26&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=KaQpE7atP65fAk0ddWxTFA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer Lead - LLM/Python/GenAI,YO HR Consultancy,Belgium,"Opportunity: Full Time, 8 hours India time + +Contract length: 6-12 Months + +Must-Have + +Total Years Of exp- 7+ years experience mandatory + +Mandatory Skills: Python- 7 years, Machine Learning - 3 years, LLM - 3 years. + +Solid understanding of cloud services, including Azure, GCP, or AWS + +Introduction + +We are seeking experienced professionals with expertise in Large Language Models (LLM) to join a dynamic team working on next-generation products. In this role, you will collaborate with other engineers across various skill sets, driving innovative solutions for our clients. + +Required Skills + + +7+ years of professional experience in building Machine Learning models & systems +1+ years of hands-on experience with LLMs and Generative AI, particularly prompt engineering, RAG, and agents +Expertise in business analysis, requirement gathering, and solution workflow design for GenAI/ML projects +Proven ability to drive client engagement and align development teams toward a technical roadmap +Proficient in programming with Python, Langchain, and SQL +Solid understanding of cloud services, including Azure, GCP, or AWS +Excellent communication skills for effective collaboration with business SMEs + + +Skills: llm,rag,programming,langchain programming,agents,prompt engineering,machine learning,solution workflow design,gcp,requirement gathering,python,models,technical roadmap,cloud services,business analysis,aws,python programming,cloud,azure,client engagement,sql,langchain,communication skills,large language models (llm),sql programming,generative ai +Show more ","
    + + + + + +
    +
    + Opportunity: Full Time, 8 hours India time

    Contract length: 6-12 Months

    Must-Have

    Total Years Of exp- 7+ years experience mandatory

    Mandatory Skills: Python- 7 years, Machine Learning - 3 years, LLM - 3 years.

    Solid understanding of cloud services, including Azure, GCP, or AWS

    Introduction

    We are seeking experienced professionals with expertise in Large Language Models (LLM) to join a dynamic team working on next-generation products. In this role, you will collaborate with other engineers across various skill sets, driving innovative solutions for our clients.

    Required Skills

    • 7+ years of professional experience in building Machine Learning models & systems
    • 1+ years of hands-on experience with LLMs and Generative AI, particularly prompt engineering, RAG, and agents
    • Expertise in business analysis, requirement gathering, and solution workflow design for GenAI/ML projects
    • Proven ability to drive client engagement and align development teams toward a technical roadmap
    • Proficient in programming with Python, Langchain, and SQL
    • Solid understanding of cloud services, including Azure, GCP, or AWS
    • Excellent communication skills for effective collaboration with business SMEs

    Skills: llm,rag,programming,langchain programming,agents,prompt engineering,machine learning,solution workflow design,gcp,requirement gathering,python,models,technical roadmap,cloud services,business analysis,aws,python programming,cloud,azure,client engagement,sql,langchain,communication skills,large language models (llm),sql programming,generative ai +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +3984343918,https://be.linkedin.com/jobs/view/data-scientist-at-ntt-data-europe-latam-3984343918?position=27&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=AT%2Fle12pdWnRj42hug0ZNQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,NTT DATA Europe & Latam,"Brussels, Brussels Region, Belgium","About us + + + + +NTT DATA – a part of NTT Group - is a Top 10 global IT services provider, headquartered in Tokyo, with over 150,000 employees. + + + + +We deliver consulting solutions by combining specialized sectorial knowledge, our transformation management skills, and our large technology expertise (data, RPA, AI, low code, cloud, IoT, virtual reality), to keep our clients, as well as society, a step ahead in this digitally dynamic world. + + + + +Everything we do is underpinned by our core values of 'Teamwork', 'Foresight' and 'Clients First'. Our shared leadership principles of Collaboration, Engagement and Curiosity help us build a community where our people are equipped with the best resources to face new challenges. + + + + +We are looking for a Data Scientist to join our Data & Analytics team in Brussels. + + + + +Please only apply if you have a fluent level in French or Dutch. + + + + +Your role: + +Data Analysis and Modeling. Utilize statistical methods and machine learning algorithms to analyze complex data sets, build predictive models, and derive actionable insights. +Data Visualization and Communication. Create clear and compelling data visualizations and reports to effectively communicate findings and recommendations to stakeholders. +Collaboration and Strategy Development. Work with cross-functional teams to integrate data science solutions into business strategies, providing expertise on data-driven decision-making and innovation. + + + + +Your profile: + +Experience in Data Analysis and Modeling: Over 4 years of experience in analyzing data, building statistical models, and developing machine learning algorithms. +Proficiency in Programming Languages: Strong programming skills in Python or R, with practical experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). +Knowledge of Advanced Analytical Techniques: Experience with advanced analytical techniques such as deep learning or natural language processing (NLP). +Background in Big Data Technologies: Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP) for data processing and analysis. + + + + +Nice to have: + +Certification in Data Science or Machine Learning: Relevant certifications in data science, machine learning, or related fields. +Experience with Cloud Data Platforms: Familiarity with cloud-based data platforms and services. +Expertise in Data Visualization: Experience with data visualization tools and techniques to effectively communicate insights (e.g., Tableau, Power BI, Matplotlib, Seaborn). +Experience in Agile Environments: Familiarity with agile methodologies and experience working in agile teams. + + + + +Why NTT DATA ? + +🤝 We value a collaborative and supportive environment, celebrating curiosity and engagement + +🚀Career development. Training path and access to learning opportunities such, yearly performance reviews and a mentorship program + +💻 We believe in work-life balance and flexibility. Wear casual clothing, decide your working hours and enjoy our hybrid working model + +✨ We are a certified ‘Top Employer’ in Belgium and Europe. + +🌿 Health & well-being. Focus on your mental health with access to a platform with certified psychologists & mental health workshops. Take a break with one of our online fitness and well-being sessions + +🌈 Diversity & inclusion. We are committed to equal employment opportunities regardless of gender, gender expression and identity, sexual orientation, religion, culture, origin, disability, age, or other personal and social characteristics. #WeAreAllUnique #YouMakeUsUnique + +🗣 Internal Referral program Talent Friends. Refer a friend and receive a bonus when they join. + + + + +On top of this, your benefits will include: + +Company car + fuel card or flexible Mobility Budget + +Bike to work reimbursement scheme + +Medical insurance for you and your family + +Life insurance + +Certification bonus scheme + +Representation allowance + +Access to OpenUp wellbeing service + +Language courses + +Udemy account + +Discount in online shops + +Teleworking equipment allowance + +Meal vouchers + +Eco vouchers + +Internet allowance + +13th month + holiday allowance + +32 days paid annual leave + + + + +Upon receiving an interview, you may request accommodation for any accessibility needs. + +Sounds interesting? Apply now or share it with a friend 🔹 + +Show more ","
    + + + + + +
    +
    +

    About us


    NTT DATA – a part of NTT Group - is a Top 10 global IT services provider, headquartered in Tokyo, with over 150,000 employees.


    We deliver consulting solutions by combining specialized sectorial knowledge, our transformation management skills, and our large technology expertise (data, RPA, AI, low code, cloud, IoT, virtual reality), to keep our clients, as well as society, a step ahead in this digitally dynamic world.


    Everything we do is underpinned by our core values of 'Teamwork', 'Foresight' and 'Clients First'. Our shared leadership principles of Collaboration, Engagement and Curiosity help us build a community where our people are equipped with the best resources to face new challenges.


    We are looking for a Data Scientist to join our Data & Analytics team in Brussels.


    Please only apply if you have a fluent level in French or Dutch.


    Your role:

    • Data Analysis and Modeling. Utilize statistical methods and machine learning algorithms to analyze complex data sets, build predictive models, and derive actionable insights.
    • Data Visualization and Communication. Create clear and compelling data visualizations and reports to effectively communicate findings and recommendations to stakeholders.
    • Collaboration and Strategy Development. Work with cross-functional teams to integrate data science solutions into business strategies, providing expertise on data-driven decision-making and innovation.


    Your profile:

    • Experience in Data Analysis and Modeling: Over 4 years of experience in analyzing data, building statistical models, and developing machine learning algorithms.
    • Proficiency in Programming Languages: Strong programming skills in Python or R, with practical experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
    • Knowledge of Advanced Analytical Techniques: Experience with advanced analytical techniques such as deep learning or natural language processing (NLP).
    • Background in Big Data Technologies: Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP) for data processing and analysis.


    Nice to have:

    • Certification in Data Science or Machine Learning: Relevant certifications in data science, machine learning, or related fields.
    • Experience with Cloud Data Platforms: Familiarity with cloud-based data platforms and services.
    • Expertise in Data Visualization: Experience with data visualization tools and techniques to effectively communicate insights (e.g., Tableau, Power BI, Matplotlib, Seaborn).
    • Experience in Agile Environments: Familiarity with agile methodologies and experience working in agile teams.


    Why NTT DATA ?

    🤝 We value a collaborative and supportive environment, celebrating curiosity and engagement

    🚀Career development. Training path and access to learning opportunities such, yearly performance reviews and a mentorship program

    💻 We believe in work-life balance and flexibility. Wear casual clothing, decide your working hours and enjoy our hybrid working model

    ✨ We are a certified ‘Top Employer’ in Belgium and Europe.

    🌿 Health & well-being. Focus on your mental health with access to a platform with certified psychologists & mental health workshops. Take a break with one of our online fitness and well-being sessions

    🌈 Diversity & inclusion. We are committed to equal employment opportunities regardless of gender, gender expression and identity, sexual orientation, religion, culture, origin, disability, age, or other personal and social characteristics. #WeAreAllUnique #YouMakeUsUnique

    🗣 Internal Referral program Talent Friends. Refer a friend and receive a bonus when they join.


    On top of this, your benefits will include:

    Company car + fuel card or flexible Mobility Budget

    Bike to work reimbursement scheme

    Medical insurance for you and your family

    Life insurance

    Certification bonus scheme

    Representation allowance

    Access to OpenUp wellbeing service

    Language courses

    Udemy account

    Discount in online shops

    Teleworking equipment allowance

    Meal vouchers

    Eco vouchers

    Internet allowance

    13th month + holiday allowance

    32 days paid annual leave


    Upon receiving an interview, you may request accommodation for any accessibility needs.

    Sounds interesting? Apply now or share it with a friend 🔹

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3992452739,https://be.linkedin.com/jobs/view/ai-nlp-ml-expert-at-pyramid-recruitment-ltd-3992452739?position=30&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=vmM3JySpT3rumZe%2BGEE3RQ%3D%3D&trk=public_jobs_jserp-result_search-card,AI / NLP / ML Expert,Pyramid Recruitment Ltd,Brussels Metropolitan Area,"Job Title: AI / NLP / ML Expert + +Location: Brussels (on-site) + +Salary: 400 EUR a day + + + + +NOTE - due to sensitive security date only EU nationals can be considered. + + + + +We are currently seeking an AI/NLP/ML Expert fluent in English to join our client's team in Brussels, Belgium. The successful candidate will work either at our client’s premises or on-site at customer locations. Initially, the role will involve integration into our Development team, collaborating closely with a major client's IT team on-site. + + + + +Responsibilities + +Design and implement IT architecture for NLP, ML, and AI solutions, including Proofs of Concept (PoCs) in areas such as ChatBots and Retrieval-Augmented Generation (RAG). +Analyze data assets, business processes, and the risk levels of existing Large Language Models (LLMs). +Industrialize PoCs in close collaboration with other engineers. +Train custom machine learning models, particularly RAG-based, using both structured and unstructured data. +Interact with local data correspondents, digital transformation officers, and other IT stakeholders. +Process, cleanse, and verify the integrity of data used for analysis. +Monitor the progress of corporate AI initiatives and identify potential opportunities. +Contribute to the analysis of data management vision, strategy, and policy, and derive the IT requirements. + + + + +Requirements + +Master’s degree in IT or a relevant discipline, with a minimum of 17 years of relevant IT experience. +Expertise in data analytics over big datasets, non-structured databases, and data lakes. +Excellent proficiency in Python. +Strong knowledge of machine learning techniques and algorithms, such as SVM and Neural Networks, and familiarity with AI frameworks. +Solid understanding of Data Management principles. +Proficiency in AWS and/or Azure. +Competence in Linux. +In-depth knowledge of the natural language processing systems lifecycle and agile software development methodologies. +Familiarity with NoSQL databases, such as MongoDB. +Knowledge of graph databases and triples. +Proficiency in query languages, such as SQL, Hive, and Pig. +Experience with data visualization tools, such as D3.js and GGplot. +Experience in RAG processing is an asset. +Knowledge of R and its NLP/ML libraries (e.g., SpaCy, NLTK, scikit-learn, pandas) is advantageous. +Excellent command of the English language is mandatory; knowledge of French at C1 level is an advantage. + +Show more ","
    + + + + + +
    +
    +

    Job Title: AI / NLP / ML Expert

    Location: Brussels (on-site)

    Salary: 400 EUR a day


    NOTE - due to sensitive security date only EU nationals can be considered.


    We are currently seeking an AI/NLP/ML Expert fluent in English to join our client's team in Brussels, Belgium. The successful candidate will work either at our client’s premises or on-site at customer locations. Initially, the role will involve integration into our Development team, collaborating closely with a major client's IT team on-site.


    Responsibilities

    • Design and implement IT architecture for NLP, ML, and AI solutions, including Proofs of Concept (PoCs) in areas such as ChatBots and Retrieval-Augmented Generation (RAG).
    • Analyze data assets, business processes, and the risk levels of existing Large Language Models (LLMs).
    • Industrialize PoCs in close collaboration with other engineers.
    • Train custom machine learning models, particularly RAG-based, using both structured and unstructured data.
    • Interact with local data correspondents, digital transformation officers, and other IT stakeholders.
    • Process, cleanse, and verify the integrity of data used for analysis.
    • Monitor the progress of corporate AI initiatives and identify potential opportunities.
    • Contribute to the analysis of data management vision, strategy, and policy, and derive the IT requirements.


    Requirements

    • Master’s degree in IT or a relevant discipline, with a minimum of 17 years of relevant IT experience.
    • Expertise in data analytics over big datasets, non-structured databases, and data lakes.
    • Excellent proficiency in Python.
    • Strong knowledge of machine learning techniques and algorithms, such as SVM and Neural Networks, and familiarity with AI frameworks.
    • Solid understanding of Data Management principles.
    • Proficiency in AWS and/or Azure.
    • Competence in Linux.
    • In-depth knowledge of the natural language processing systems lifecycle and agile software development methodologies.
    • Familiarity with NoSQL databases, such as MongoDB.
    • Knowledge of graph databases and triples.
    • Proficiency in query languages, such as SQL, Hive, and Pig.
    • Experience with data visualization tools, such as D3.js and GGplot.
    • Experience in RAG processing is an asset.
    • Knowledge of R and its NLP/ML libraries (e.g., SpaCy, NLTK, scikit-learn, pandas) is advantageous.
    • Excellent command of the English language is mandatory; knowledge of French at C1 level is an advantage.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +3984908427,https://be.linkedin.com/jobs/view/machine-learning-engineer-f-m-x-at-amaris-consulting-3984908427?position=31&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=GbISJ9iYNTbOMHC7kH%2B%2B2g%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer F/M/X,Amaris Consulting,"Brussels, Brussels Region, Belgium","Who are we? + +Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success. + +At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like: + +Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you! + +Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities! + +Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc. + +As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience. + +We look forward to meeting you! + +Job Description + +We are currently seeking an entry-level Machine Learning Engineer to join our dynamic team at Amaris Consulting, located in Belgium for a VIE. This role is a unique opportunity for those passionate about AI and machine learning, looking to apply their skills in a challenging yet rewarding environment. + +🔥Your Responsibilities: + + + +Developing machine learning models from scratch and improving existing ones +Collaborating with cross-functional teams to understand business requirements and provide appropriate solutions. +Data preprocessing including data cleaning, normalization, and transformation. +Evaluating model performance using suitable metrics and validation techniques +Maintaining clear documentation of the development process for future reference and audits +Staying updated with the latest trends in machine learning algorithms, tools, industry best practices +Promoting knowledge sharing within the team through presentations or workshops on new findings or technologies related to ML/AI +Troubleshooting any issues that arise during the development or deployment of ML models + + + +🎯 Your Profile: + +The ideal candidate is a recent graduate who has a strong passion for artificial intelligence (AI) & machine learning (ML). You should be eager to learn new things continuously while being able to work effectively as part of a diverse team. + + + +A bachelor’s degree in computer science/engineering/mathematics or related field is required; a masters degree is mandatory for a VIE +Familiarity with Python programming language along with libraries such as TensorFlow/Keras/PyTorch used in ML applications. An understanding of various Machine Learning algorithms like Regression Models, Decision Trees etc., along with their real-world advantages/drawbacks. +Good understanding of data structures, data modeling and software architecture +An analytical mindset with problem-solving skills. Ability to troubleshoot complex software issues +Excellent communication skills to effectively collaborate with team members and stakeholders +Able to work independently as well as in a team environment. +Excellent written and verbal communication skills in English and French or Dutch. +Minimum 1 to 3 years of experience. + + + + 🚀 Advantages: + + + +An international learning environment +Extensive training and certifications. +A R&D laboratory where you can develop your skills on innovative projects. +The opportunity to bring new ideas to develop a thriving business. +Individual coaching and mentoring, as well as the chance to learn from experts for your professional and personal growth. +An attractive, tailor-made, and evolving career path.   + + + +💡 We are an independent company that values: + + + +Agility: thrive in a flexible, dynamic, and stimulating environment. +International scope: enjoy daily international exchanges and numerous mobility opportunities in over 60 countries. +Intrapreneurship: engage in related topics or develop your own Business Unit. +Attentive management: with a limited number of consultants, your manager will adapt to your profile and support you throughout your professional journey. + + + +Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics. +Show more ","
    + + + + + +
    +
    + Who are we?

    Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

    At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:

    Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!

    Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!

    Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

    As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.

    We look forward to meeting you!

    Job Description

    We are currently seeking an entry-level Machine Learning Engineer to join our dynamic team at Amaris Consulting, located in Belgium for a VIE. This role is a unique opportunity for those passionate about AI and machine learning, looking to apply their skills in a challenging yet rewarding environment.

    🔥Your Responsibilities:


    • Developing machine learning models from scratch and improving existing ones
    • Collaborating with cross-functional teams to understand business requirements and provide appropriate solutions.
    • Data preprocessing including data cleaning, normalization, and transformation.
    • Evaluating model performance using suitable metrics and validation techniques
    • Maintaining clear documentation of the development process for future reference and audits
    • Staying updated with the latest trends in machine learning algorithms, tools, industry best practices
    • Promoting knowledge sharing within the team through presentations or workshops on new findings or technologies related to ML/AI
    • Troubleshooting any issues that arise during the development or deployment of ML models


    🎯 Your Profile:

    The ideal candidate is a recent graduate who has a strong passion for artificial intelligence (AI) & machine learning (ML). You should be eager to learn new things continuously while being able to work effectively as part of a diverse team.


    • A bachelor’s degree in computer science/engineering/mathematics or related field is required; a masters degree is mandatory for a VIE
    • Familiarity with Python programming language along with libraries such as TensorFlow/Keras/PyTorch used in ML applications. An understanding of various Machine Learning algorithms like Regression Models, Decision Trees etc., along with their real-world advantages/drawbacks.
    • Good understanding of data structures, data modeling and software architecture
    • An analytical mindset with problem-solving skills. Ability to troubleshoot complex software issues
    • Excellent communication skills to effectively collaborate with team members and stakeholders
    • Able to work independently as well as in a team environment.
    • Excellent written and verbal communication skills in English and French or Dutch.
    • Minimum 1 to 3 years of experience.


     🚀 Advantages:


    • An international learning environment
    • Extensive training and certifications.
    • A R&D laboratory where you can develop your skills on innovative projects.
    • The opportunity to bring new ideas to develop a thriving business.
    • Individual coaching and mentoring, as well as the chance to learn from experts for your professional and personal growth.
    • An attractive, tailor-made, and evolving career path.  


    💡 We are an independent company that values:


    • Agility: thrive in a flexible, dynamic, and stimulating environment.
    • International scope: enjoy daily international exchanges and numerous mobility opportunities in over 60 countries.
    • Intrapreneurship: engage in related topics or develop your own Business Unit.
    • Attentive management: with a limited number of consultants, your manager will adapt to your profile and support you throughout your professional journey.


    Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-26,[] +4005003847,https://www.linkedin.com/jobs/view/ai-developer-at-rp-international-4005003847?position=32&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=kjuMgjteSpE%2Fwg6Fn1blBQ%3D%3D&trk=public_jobs_jserp-result_search-card,AI Developer,RP International,European Union,"Are you ready to make the leap from the ordinary to the extraordinary? Our cutting-edge client, a leader in tech innovation, is on the hunt for a brilliant AI Developer to join their remote team on an exciting open contract for up to 5 years. + + + + +If you’re passionate about artificial intelligence and looking for a role where your skills can truly shine, this opportunity is for you! + + + + +Your Mission, Should You Choose to Accept: + +Architect Magic: Design, develop, and implement AI models and algorithms that drive real-world solutions. +Collaborate Across Realms: Team up with diverse experts to pinpoint and prioritize AI use cases that matter. +Optimize the Future: Tweak those machine learning algorithms for peak performance, scalability, and longevity. +Handle Data Like a Pro: Work with vast datasets to train, validate, and deploy models like a data wizard. +Stay Ahead of the Curve: Keep up with the latest AI trends and technologies to push the boundaries of innovation. +Experiment and Innovate: Conduct research to test AI model performance and solve business challenges. +Integrate and Elevate: Seamlessly integrate AI solutions with existing systems and ensure flawless deployment. +Troubleshoot Like a Champion: Debug models and maintain AI systems to ensure they’re always at their best. + + + + +What We’re Looking For: + +A Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field. +Proven experience as an AI Developer or Data Scientist. +Proficiency in programming languages like Python, R, or Java. +Hands-on experience with AI frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn. +Deep knowledge in machine learning, deep learning, NLP, and computer vision. +A strong understanding of data struactures, algorithms, and software architecture. +Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying AI models. + + + + +Ready to embark on this exciting journey? Apply now and be a part of shaping the future with AI! + +Show more ","
    + + + + + +
    +
    +

    Are you ready to make the leap from the ordinary to the extraordinary? Our cutting-edge client, a leader in tech innovation, is on the hunt for a brilliant AI Developer to join their remote team on an exciting open contract for up to 5 years.


    If you’re passionate about artificial intelligence and looking for a role where your skills can truly shine, this opportunity is for you!


    Your Mission, Should You Choose to Accept:

    • Architect Magic: Design, develop, and implement AI models and algorithms that drive real-world solutions.
    • Collaborate Across Realms: Team up with diverse experts to pinpoint and prioritize AI use cases that matter.
    • Optimize the Future: Tweak those machine learning algorithms for peak performance, scalability, and longevity.
    • Handle Data Like a Pro: Work with vast datasets to train, validate, and deploy models like a data wizard.
    • Stay Ahead of the Curve: Keep up with the latest AI trends and technologies to push the boundaries of innovation.
    • Experiment and Innovate: Conduct research to test AI model performance and solve business challenges.
    • Integrate and Elevate: Seamlessly integrate AI solutions with existing systems and ensure flawless deployment.
    • Troubleshoot Like a Champion: Debug models and maintain AI systems to ensure they’re always at their best.


    What We’re Looking For:

    • A Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
    • Proven experience as an AI Developer or Data Scientist.
    • Proficiency in programming languages like Python, R, or Java.
    • Hands-on experience with AI frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn.
    • Deep knowledge in machine learning, deep learning, NLP, and computer vision.
    • A strong understanding of data struactures, algorithms, and software architecture.
    • Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying AI models.


    Ready to embark on this exciting journey? Apply now and be a part of shaping the future with AI!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3993801832,https://www.linkedin.com/jobs/view/artificial-intelligence-engineer-at-deeprec-ai-3993801832?position=33&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=d4OhiiPQNBf4o3KJJbXx2Q%3D%3D&trk=public_jobs_jserp-result_search-card,Artificial Intelligence Engineer,DeepRec.ai,European Union,"Job Title: AI Developer + +Company: Recycling Company (Germany) + + + + +Product: Process Automation for Transport Order Creation from Customer Requests + + + + +Experience Required: + +Proven experience in building 3+ LLM apps +Expertise in orchestration, prompt templates, chains, LLM APIs, prompt design, and optimization + + + + +Key Responsibilities: + +Refine LLM API calls +Optimize prompts for data extraction +Extract data from PDFs using text layer and OCR +Orchestrate API calls and build prompt sequences and chains +Integrate with Microsoft Outlook, SQL, and REST API connectors +Develop an installable package to automate workflow + + + + +Technologies and Tools: + +LLMs: GPT, Claude, Llama, Mistral +Languages: Python, SQL +Libraries: Langchain, OpenAI, Anthropic, Ragas + + + + +Position Details: + +Location: 100% Remote (must be based in Europe) +Start Date: August +Duration: 10 weeks +Utilisation: 100 hours +Rate: €380 per day + +Show more ","
    + + + + + +
    +
    +

    Job Title: AI Developer

    Company: Recycling Company (Germany)


    Product: Process Automation for Transport Order Creation from Customer Requests


    Experience Required:

    • Proven experience in building 3+ LLM apps
    • Expertise in orchestration, prompt templates, chains, LLM APIs, prompt design, and optimization


    Key Responsibilities:

    • Refine LLM API calls
    • Optimize prompts for data extraction
    • Extract data from PDFs using text layer and OCR
    • Orchestrate API calls and build prompt sequences and chains
    • Integrate with Microsoft Outlook, SQL, and REST API connectors
    • Develop an installable package to automate workflow


    Technologies and Tools:

    • LLMs: GPT, Claude, Llama, Mistral
    • Languages: Python, SQL
    • Libraries: Langchain, OpenAI, Anthropic, Ragas


    Position Details:

    • Location: 100% Remote (must be based in Europe)
    • Start Date: August
    • Duration: 10 weeks
    • Utilisation: 100 hours
    • Rate: €380 per day

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +4004469412,https://be.linkedin.com/jobs/view/artificial-intelligence-engineer-at-generative-4004469412?position=36&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=%2FM5WsRv2ppqlgm51hMwHlA%3D%3D&trk=public_jobs_jserp-result_search-card,Artificial Intelligence Engineer,Generative,"Flemish Region, Belgium","AI Engineer (Contract) + + + + +We are looking for an AI Engineer with a strong foundation in AI, Machine Learning, and Computer Vision. This role centers around creating and fine-tuning advanced algorithms for edge devices, including integrating neural network models with embedded cameras and specialized processors. + + + + +Responsibilities: + +Develop and implement advanced algorithms for embedded cameras +Optimize AI models for edge devices +Document and share insights with the global AI team + + + + +Requirements: + +4+ years in Data Science, AI, or related fields +Strong communication skills +Proficiency in C++ and experience with ML Ops, DevOps, and AI solutions +Master’s or PhD in Computer Science, Applied Mathematics, Computer Engineering, or Electrical Engineering +Show more ","
    + + + + + +
    +
    +

    AI Engineer (Contract)


    We are looking for an AI Engineer with a strong foundation in AI, Machine Learning, and Computer Vision. This role centers around creating and fine-tuning advanced algorithms for edge devices, including integrating neural network models with embedded cameras and specialized processors.


    Responsibilities:

    • Develop and implement advanced algorithms for embedded cameras
    • Optimize AI models for edge devices
    • Document and share insights with the global AI team


    Requirements:

    • 4+ years in Data Science, AI, or related fields
    • Strong communication skills
    • Proficiency in C++ and experience with ML Ops, DevOps, and AI solutions
    • Master’s or PhD in Computer Science, Applied Mathematics, Computer Engineering, or Electrical Engineering
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3993292946,https://be.linkedin.com/jobs/view/data-scientist-at-gim-smart-geo-insights-3993292946?position=37&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=RA4ZWtOr26dnrNKxK0aFCQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,GIM - smart geo insights,"Leuven, Flemish Region, Belgium","We are looking for.. + +a data scientist with a strong knowledge in machine and deep learning to strengthen the activities of our innovation team and Earth Observation activities. GIM uses an open innovation approach to respond flexibly to our rapidly changing ecosystem and to continuously renew our products and services portfolio. + + + + + + + +Below you will not find a standard vacancy, you will read a short story about where you will make the difference. Do you want work with us on a society in which geospatial data empower people to live better lives and make better decisions? Get in touch! + + + + + + + +As experienced data science professional + +I am the driving force behind our Earth Observation AI developments that are used for the further extension of our Belmap product and on customer projects. I actively follow-up new developments and technologies in the data science / machine learning / deep learning & computer vision domains. I provide technical input for research proposals centered around AI for GEO and Earth Observation, and implement the resulting innovation projects. + + + + +I contribute to our excellent customer experience by supporting my sales colleagues on their customer visits and contribute to the (pre)sales process by thinking along with the customer, delivering technical advice and giving demos. Together with the team, I translate the customer needs into a concrete project strategy and set up an action plan to ensure the successful delivery of the customer solution. My fluency in Dutch (mandatory!) as well as English, is a big asset in this context. I keep an eye on the project agreements that were made regarding budget, planning and deadlines, and contribute to great project results. My experience with working on complex projects and my excellent communication skills ensure that we create win-win situations with our customers. + + + + +I keep up-to-date on the newest technical and scientific developments within the machine learning, Earth Observation and geotechnology domains and share my knowledge with my GIM colleagues. By continuously renewing this technological knowledge and applying it to rapidly evolving customer demands, I also help to ensure that GIMs' products and services portfolio continues to meet the future needs of customers. + + + + + + + +What do we offer you? + +At GIM we are convinced that employees make the difference. This is why we give them every opportunity to shine in a self-organizing context where we distribute clear areas of responsibility with lots of decision power. We offer you a versatile function in a dynamic and highly innovative company, excellent working conditions and real possibilities for career development. Our salary packages are market conform with excellent fringe benefits, and we give you the choice to opt for a mobility budget, fitting to your personal needs. + +Show more ","
    + + + + + +
    +
    +

    We are looking for..

    a data scientist with a strong knowledge in machine and deep learning to strengthen the activities of our innovation team and Earth Observation activities. GIM uses an open innovation approach to respond flexibly to our rapidly changing ecosystem and to continuously renew our products and services portfolio.



    Below you will not find a standard vacancy, you will read a short story about where you will make the difference. Do you want work with us on a society in which geospatial data empower people to live better lives and make better decisions? Get in touch!



    As experienced data science professional

    I am the driving force behind our Earth Observation AI developments that are used for the further extension of our Belmap product and on customer projects. I actively follow-up new developments and technologies in the data science / machine learning / deep learning & computer vision domains. I provide technical input for research proposals centered around AI for GEO and Earth Observation, and implement the resulting innovation projects.


    I contribute to our excellent customer experience by supporting my sales colleagues on their customer visits and contribute to the (pre)sales process by thinking along with the customer, delivering technical advice and giving demos. Together with the team, I translate the customer needs into a concrete project strategy and set up an action plan to ensure the successful delivery of the customer solution. My fluency in Dutch (mandatory!) as well as English, is a big asset in this context. I keep an eye on the project agreements that were made regarding budget, planning and deadlines, and contribute to great project results. My experience with working on complex projects and my excellent communication skills ensure that we create win-win situations with our customers.


    I keep up-to-date on the newest technical and scientific developments within the machine learning, Earth Observation and geotechnology domains and share my knowledge with my GIM colleagues. By continuously renewing this technological knowledge and applying it to rapidly evolving customer demands, I also help to ensure that GIMs' products and services portfolio continues to meet the future needs of customers.



    What do we offer you?

    At GIM we are convinced that employees make the difference. This is why we give them every opportunity to shine in a self-organizing context where we distribute clear areas of responsibility with lots of decision power. We offer you a versatile function in a dynamic and highly innovative company, excellent working conditions and real possibilities for career development. Our salary packages are market conform with excellent fringe benefits, and we give you the choice to opt for a mobility budget, fitting to your personal needs.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +4000255328,https://be.linkedin.com/jobs/view/data-scientist-python-developer-at-randstad-digital-belgium-4000255328?position=38&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=NG%2BFnP9aiH%2FJb0Cx8DXzig%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist / Python Developer,Randstad Digital Belgium,"Brussels, Brussels Region, Belgium","Are you an all-round developer with a sound knowledge of Python and are you interested in applying your expertise in Machine Learning projects? We offer you the opportunity to further develop your skills in a conversational ChatBot project. + +Responsibilities + + +Contribute to a full stack of tools for deploying chatbots in production +Develop solutions to easily train, build, maintain and monitor the chatbots +Help stabilise the platform using standard software quality protocols +Improve and integrate the different components of our ChatBot engine +Support the Machine Learning engineers and data scientists involved in the project +Align with all stakeholders to prioritise the correct tasks +Clearly articulate technical possibilities and limitations to a non-technical audience, and proactively suggest technical improvements +Have a passion for AI and want to learn more about natural language processing +Engage and evolve in a large community of data scientists and software engineers who love to automate and innovate the bank +Share best practices within the team +Will build next-gen ChatBot with an LLM powered Rag solution (knowledge of LLM-powered applications and experience in prompting, Rag fine tuning and autonomous AI agents is mandatory) + + +Competences + + +A fluency in English and a good knowledge in Dutch or French +You have a degree in (applied) Informatics, Computer Science, Engineering, Statistics, Mathematics or related field (or equivalent through job experience) +You have at least 4 years of relevant experience with Python in a production environment +Experience with an LLM powered Rag solution +Knowledge of Django (is a plus) +Data science experience with an NLP/NLU project +Having experience with Frontend web technologies, APIs, Postgres is considered as a plus +Show more ","
    + + + + + +
    +
    + Are you an all-round developer with a sound knowledge of Python and are you interested in applying your expertise in Machine Learning projects? We offer you the opportunity to further develop your skills in a conversational ChatBot project.

    Responsibilities

    • Contribute to a full stack of tools for deploying chatbots in production
    • Develop solutions to easily train, build, maintain and monitor the chatbots
    • Help stabilise the platform using standard software quality protocols
    • Improve and integrate the different components of our ChatBot engine
    • Support the Machine Learning engineers and data scientists involved in the project
    • Align with all stakeholders to prioritise the correct tasks
    • Clearly articulate technical possibilities and limitations to a non-technical audience, and proactively suggest technical improvements
    • Have a passion for AI and want to learn more about natural language processing
    • Engage and evolve in a large community of data scientists and software engineers who love to automate and innovate the bank
    • Share best practices within the team
    • Will build next-gen ChatBot with an LLM powered Rag solution (knowledge of LLM-powered applications and experience in prompting, Rag fine tuning and autonomous AI agents is mandatory)

    Competences

    • A fluency in English and a good knowledge in Dutch or French
    • You have a degree in (applied) Informatics, Computer Science, Engineering, Statistics, Mathematics or related field (or equivalent through job experience)
    • You have at least 4 years of relevant experience with Python in a production environment
    • Experience with an LLM powered Rag solution
    • Knowledge of Django (is a plus)
    • Data science experience with an NLP/NLU project
    • Having experience with Frontend web technologies, APIs, Postgres is considered as a plus
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3968318023,https://www.linkedin.com/jobs/view/artificial-intelligence-specialist-at-hkcm-3968318023?position=39&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=K9vcopNC8dtHE6sRvTlhlA%3D%3D&trk=public_jobs_jserp-result_search-card,Artificial Intelligence Specialist,HKCM,European Economic Area,"Was erwartet Sie? + +Programmierung von KI-Programmen +Analyse und Weiterverwertung von Daten +Identifizierung von Anwendungsbereichen für KI +Datenbasierte Weiterentwicklung von maschinellen Lernprogrammen +Eigeninitiative Umsetzung von KI-Projekten +Schulung und Kapazitätenaufbau im Bereich künstlicher Intelligenz +Testen von neuen Tools und Anwendungen + + + + +Was sollten Sie mitbringen? + +Nachweisbar tiefgreifende Erfahrung im Bereich der künstlichen Intelligenz, Datenanalyse und maschinellem Lernen +Ein Höchstmaß an Kreativität, Ambition und Zielorientierung +Sehr gute Organisationsfähigkeiten +Strukturierte und detailorientierte Arbeitsweise +Hohe Belastbarkeit + + + + +Was bieten wir Ihnen? + +Flache Hierarchien und die Möglichkeit, sich mit Ideen einzubringen +Ein agiles, hochprofessionelles, strebsames und wertschätzendes Arbeitsumfeld +Flexibilität und selbstbestimmtes Arbeiten +Arbeit in einem stark wachsenden Unternehmen +Die Möglichkeit, am Erfolg mitzuwirken und davon zu profitieren +Wettbewerbsfähige Vergütung +Gemeinsame Team-Events +Hochklassige Arbeitsausrüstung +Umfangreiche Weiterbildungsmöglichkeiten + +Show more ","
    + + + + + +
    +
    +

    Was erwartet Sie?

    • Programmierung von KI-Programmen
    • Analyse und Weiterverwertung von Daten
    • Identifizierung von Anwendungsbereichen für KI
    • Datenbasierte Weiterentwicklung von maschinellen Lernprogrammen
    • Eigeninitiative Umsetzung von KI-Projekten
    • Schulung und Kapazitätenaufbau im Bereich künstlicher Intelligenz
    • Testen von neuen Tools und Anwendungen


    Was sollten Sie mitbringen?

    • Nachweisbar tiefgreifende Erfahrung im Bereich der künstlichen Intelligenz, Datenanalyse und maschinellem Lernen
    • Ein Höchstmaß an Kreativität, Ambition und Zielorientierung
    • Sehr gute Organisationsfähigkeiten
    • Strukturierte und detailorientierte Arbeitsweise
    • Hohe Belastbarkeit


    Was bieten wir Ihnen?

    • Flache Hierarchien und die Möglichkeit, sich mit Ideen einzubringen
    • Ein agiles, hochprofessionelles, strebsames und wertschätzendes Arbeitsumfeld
    • Flexibilität und selbstbestimmtes Arbeiten
    • Arbeit in einem stark wachsenden Unternehmen
    • Die Möglichkeit, am Erfolg mitzuwirken und davon zu profitieren
    • Wettbewerbsfähige Vergütung
    • Gemeinsame Team-Events
    • Hochklassige Arbeitsausrüstung
    • Umfangreiche Weiterbildungsmöglichkeiten

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +4001578700,https://www.linkedin.com/jobs/view/machine-learning-solutions-engineer-at-understanding-recruitment-4001578700?position=42&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=bfjDwJZ0rd5XpeGHHfB0Fg%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Solutions Engineer,Understanding Recruitment,European Union,"Machine Learning Solutions Engineer + + + + +Join a team where your work with AI makes a real difference. Be part of a supportive culture that values collaboration and impactful work. + + + + +Role Overview: As a Customer Facing and Solutions Orientated, Machine Learning Engineer, you'll work closely with the commercial team to provide technical expertise and tailor solutions to meet customer needs. You'll participate in conferences, gather customer feedback, and ensure technical wins. + + + + +We'd love to hear from you if you have the following skills: + +Strong technical background in ML, deep learning workflows, and Python. +Experience with cloud technologies, particularly AWS. +Ability to work in a fast-paced environment and travel occasionally. +Cloud/ML and experience with enterprise-level customers. + + + + +Company Culture and Benefits: + +Remote-first company with occasional in-person gatherings. +Stipend for a co-working space. +Equity-based compensation. + + + + +Interview Process: + +CV Screening. +Technical Deep Dive. +Collaboration and Team Fit Interviews. +Show more ","
    + + + + + +
    +
    +

    Machine Learning Solutions Engineer


    Join a team where your work with AI makes a real difference. Be part of a supportive culture that values collaboration and impactful work.


    Role Overview: As a Customer Facing and Solutions Orientated, Machine Learning Engineer, you'll work closely with the commercial team to provide technical expertise and tailor solutions to meet customer needs. You'll participate in conferences, gather customer feedback, and ensure technical wins.


    We'd love to hear from you if you have the following skills:

    • Strong technical background in ML, deep learning workflows, and Python.
    • Experience with cloud technologies, particularly AWS.
    • Ability to work in a fast-paced environment and travel occasionally.
    • Cloud/ML and experience with enterprise-level customers.


    Company Culture and Benefits:

    • Remote-first company with occasional in-person gatherings.
    • Stipend for a co-working space.
    • Equity-based compensation.


    Interview Process:

    1. CV Screening.
    2. Technical Deep Dive.
    3. Collaboration and Team Fit Interviews.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +4006567546,https://be.linkedin.com/jobs/view/data-scientist-banking-at-norriq-financial-services-4006567546?position=43&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=wRB6rjqufD%2BEgNDH1yI3pw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist (Banking),NORRIQ Financial Services,"Brussels, Brussels Region, Belgium","Based on concrete opportunities at our key client, one of the largest banks in Belgium, we are looking to strengthen our transformation team with a new [Junior / Medior / Senior] Data Scientist who will join our Data & Analytics competency. + +As a Data Scientist working in financial services, you will support our clients to deliver AI solutions from ideation, feasibility assessment, to data preparation, modelling and industrialization. + + + + +Your responsibilities will include: + +Proficiently use statistical techniques, machine learning algorithms and data visualization tools to extract valuable insights from the data. +Create value by enabling clients to deliver faster and higher quality service with use of AI solutions. +Ensure seamless communication channels to guarantee accurate integration of complex analytical solutions into the development process. +Collaborate closely with other data scientists, Machine Learning Engineers, and subject matter experts to understand domain-specific challenges and requirements. +Conduct user research, analyze data, and gather feedback from stakeholders. +Maintain a deep understanding of market trends, customer needs, and competitive landscape. + + + + +Are you a dynamic and ambitious consultant, eager to be part of a fast growing company that is committed to provide multiple learning opportunities for its talented profiles? + + + + +Your skills and attributes: + +MS degree in Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning. +Minimum of [1-5] year(s) of hands-on experience with Data Science. +Experience working in Python and SQL. +Experience working with ML frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, etc. +Good understanding of statistical and machine learning models with experience applying your knowledge to business problems. +Have experience in Agile methodologies, preferably in the finance/banking industry. +Are fluent in English and in Dutch or French, with at least a passive knowledge of the other language. + + + + +Our offer + +Permanent contract with competitive salary package based on market and your experience. +Company car & fuel card, meal voucher, group & hospitalization insurance, bonuses, net allowances + mobile, … +Career and business development opportunities combines with trainings based on your personal needs and ambitions. +Chance to make a real impact on the bank’s compliance efforts. +Flexible working hours +Homeworking policy + + + + +Life at Norriq Financial Services + +We believe that our employees are our greatest asset, and we are committed to creating a positive and supportive work environment where everyone can thrive + +Great Work-life balance +Trainings & growing perspectives (internal mobility) +Variety of social activities/ events/ team buildings +Big 4 culture +Show more ","
    + + + + + +
    +
    +

    Based on concrete opportunities at our key client, one of the largest banks in Belgium, we are looking to strengthen our transformation team with a new [Junior / Medior / Senior] Data Scientist who will join our Data & Analytics competency.

    As a Data Scientist working in financial services, you will support our clients to deliver AI solutions from ideation, feasibility assessment, to data preparation, modelling and industrialization.


    Your responsibilities will include:

    • Proficiently use statistical techniques, machine learning algorithms and data visualization tools to extract valuable insights from the data.
    • Create value by enabling clients to deliver faster and higher quality service with use of AI solutions.
    • Ensure seamless communication channels to guarantee accurate integration of complex analytical solutions into the development process.
    • Collaborate closely with other data scientists, Machine Learning Engineers, and subject matter experts to understand domain-specific challenges and requirements.
    • Conduct user research, analyze data, and gather feedback from stakeholders.
    • Maintain a deep understanding of market trends, customer needs, and competitive landscape.


    Are you a dynamic and ambitious consultant, eager to be part of a fast growing company that is committed to provide multiple learning opportunities for its talented profiles?


    Your skills and attributes:

    • MS degree in Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
    • Minimum of [1-5] year(s) of hands-on experience with Data Science.
    • Experience working in Python and SQL.
    • Experience working with ML frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, etc.
    • Good understanding of statistical and machine learning models with experience applying your knowledge to business problems.
    • Have experience in Agile methodologies, preferably in the finance/banking industry.
    • Are fluent in English and in Dutch or French, with at least a passive knowledge of the other language.


    Our offer

    • Permanent contract with competitive salary package based on market and your experience.
    • Company car & fuel card, meal voucher, group & hospitalization insurance, bonuses, net allowances + mobile, …
    • Career and business development opportunities combines with trainings based on your personal needs and ambitions.
    • Chance to make a real impact on the bank’s compliance efforts.
    • Flexible working hours
    • Homeworking policy


    Life at Norriq Financial Services

    We believe that our employees are our greatest asset, and we are committed to creating a positive and supportive work environment where everyone can thrive

    • Great Work-life balance
    • Trainings & growing perspectives (internal mobility)
    • Variety of social activities/ events/ team buildings
    • Big 4 culture
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +3888675886,https://be.linkedin.com/jobs/view/machine-learning-engineer-at-cluepoints-3888675886?position=44&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=r17o%2FiNJQ2eYDA07KxaugA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,CluePoints,"Louvain-la-Neuve, Walloon Region, Belgium","CluePoints is a fast-growing company and the premier provider of Risk-Based Quality Management and Data Quality Oversight solutions to clinical research organizations. Our products utilize advanced statistical and machine learning algorithms to assess the quality of clinical trial data both during and following study execution. At CluePoints, we are looking for people with fresh ideas to keep developing our algorithms and help us to sustain our growth. + +Responsibilities + +As a member of our Research team: + + +You develop new machine learning models to enhance the CluePoints web platform and/or to develop new products. +You identify promising ML techniques from scientific literature and assess their viability +You leverage relevant open-source resources and keep yourself up-to-date to new developments in this area +You produce robust and clean python code +You follow ML best practices to keep track of experiments and models +You identify new fields of applications for machine learning and deep learning within CluePoints and contribute to increased adoption of machine learning within the healthcare industry +You stay on the edge of relevant research and help CluePoints to continue increasing its scientific visibility by participating at scientific conferences and publishing in scientific journals + + +Main Qualifications + + +Master or PhD in Computer sciences or quantitative fields (maths, physics, ...) +Professional experience in machine learning / data science +Efficient in Python +Good knowledge in at least one deep learning platform like TensorFlow or PyTorch +Experience with code versioning tools such as Git + + +Preferred Qualifications: + + +Experience with deep learning and natural language Processing +Experience in supporting deployments of machine learning models +Experience with medical data +Experience in GPU computing + + +Top reasons to work with us: + + +Flexibility is part of our DNA and you’ll find at CluePoints you can work 100% from home or choose to come to the office any day (please note that this point only concerns employees located in our office in Belgium). +If you choose to come to the office, you’ll discover a fun atmosphere including a game room (e.g., withkicker, PS4, arcade machine, nerf battles, and our newly added dartboard). +Many activities are organized during the year, such as soccer, team lunches, happy hours, LAN parties, board games nights! We also have running groups, languages lessons, and much more! +You’ll be working within a squad organization offering you ownership on projects, and utilize high quality equipment like powerful laptops and screens. +At CluePoints, learning, training and personal growth are part of the game: you’ll have access to online training materials, certifications sponsored by the company, personal growth plans, and career paths to explore new opportunities. +You’ll work with a fast-growing, multi-disciplinary and international team representing over 20 different nationalities, in an English-speaking working environment. +You’ll have a challenging and rewarding job in an ambitious and fast-paced technology scale-up that has received many national and international awards! +Last but not least, we offer competitive salary and benefits, company car, bonus potential, employee referral program. +Show more ","
    + + + + + +
    +
    + CluePoints is a fast-growing company and the premier provider of Risk-Based Quality Management and Data Quality Oversight solutions to clinical research organizations. Our products utilize advanced statistical and machine learning algorithms to assess the quality of clinical trial data both during and following study execution. At CluePoints, we are looking for people with fresh ideas to keep developing our algorithms and help us to sustain our growth.

    Responsibilities

    As a member of our Research team:

    • You develop new machine learning models to enhance the CluePoints web platform and/or to develop new products.
    • You identify promising ML techniques from scientific literature and assess their viability
    • You leverage relevant open-source resources and keep yourself up-to-date to new developments in this area
    • You produce robust and clean python code
    • You follow ML best practices to keep track of experiments and models
    • You identify new fields of applications for machine learning and deep learning within CluePoints and contribute to increased adoption of machine learning within the healthcare industry
    • You stay on the edge of relevant research and help CluePoints to continue increasing its scientific visibility by participating at scientific conferences and publishing in scientific journals

    Main Qualifications

    • Master or PhD in Computer sciences or quantitative fields (maths, physics, ...)
    • Professional experience in machine learning / data science
    • Efficient in Python
    • Good knowledge in at least one deep learning platform like TensorFlow or PyTorch
    • Experience with code versioning tools such as Git

    Preferred Qualifications:

    • Experience with deep learning and natural language Processing
    • Experience in supporting deployments of machine learning models
    • Experience with medical data
    • Experience in GPU computing

    Top reasons to work with us:

    • Flexibility is part of our DNA and you’ll find at CluePoints you can work 100% from home or choose to come to the office any day (please note that this point only concerns employees located in our office in Belgium).
    • If you choose to come to the office, you’ll discover a fun atmosphere including a game room (e.g., withkicker, PS4, arcade machine, nerf battles, and our newly added dartboard).
    • Many activities are organized during the year, such as soccer, team lunches, happy hours, LAN parties, board games nights! We also have running groups, languages lessons, and much more!
    • You’ll be working within a squad organization offering you ownership on projects, and utilize high quality equipment like powerful laptops and screens.
    • At CluePoints, learning, training and personal growth are part of the game: you’ll have access to online training materials, certifications sponsored by the company, personal growth plans, and career paths to explore new opportunities.
    • You’ll work with a fast-growing, multi-disciplinary and international team representing over 20 different nationalities, in an English-speaking working environment.
    • You’ll have a challenging and rewarding job in an ambitious and fast-paced technology scale-up that has received many national and international awards!
    • Last but not least, we offer competitive salary and benefits, company car, bonus potential, employee referral program.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3856026305,https://be.linkedin.com/jobs/view/machine-learning-engineer-at-tobania-a-sopra-steria-company-3856026305?position=45&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=5OYKaaxWwcKlQ8GMrCFoYQ%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Tobania a Sopra Steria Company,"Brussels, Brussels Region, Belgium","What can you expect? + +Python Predictions is currently looking for an experienced Machine Learning Engineer. In this role, you will need to be able to adapt quickly to new technologies, applications and environments. You will operate with our current clients on a medium to long-term basis. + +As an ML Engineer, you will help our clients building and serving machine learning models. More specifically, the responsibilities include: + +Design and implement solutions to serve machine learning models, from traditional ML to Generative AI. +Train, improve, and deploy ML models. +Write production ready code and serve online, batch, and real time models +Identify, design, and implement process improvements in the machine learning lifecylce: automating manual processes, optimizing data delivery, re-design infrastructure for greater scalability, etc +Collaborate with Data Scientists, MLOps Engineers and Data Engineers, to integrate all parts of the solution. +Coach colleagues and clients in your area of expertise + + + + + + + +Who are we looking for? + +Required + +Master or PhD in Machine Learning, Artificial Intelligence, Computer Engineering, or related field. +At least 3 years of experience as a Machine Learning Engineer, Data Scientist, MLOps Engineer, or in a similar position. +Strong software engineering background +Experience deploying machine learning in production +Experience with experiment tracking, models monitoring, and deployment strategies +Ability to write production ready code in Python. +Experience with CI/CD pipelines and understanding of Infrastructure as Code +Knowledge of containers and container orchestration. +Master software engineering best practices and software release cycle. +Solid understanding of Linux and in depth knowledge of at least one cloud provider. +Knowledge of big data technologies such as Apache Spark, Kafka. +Able to coach others and give technical advice and direction.Experience building, scheduling and maintaining ML pipelines +Able to work independently, prioritize multiple stakeholders and tasks, and manage work time effectively +Proficient in English, knowledge of Dutch and/or French is a plus + + + + + + + +What do we have to offer? + +Python Predictions is a Brussels-based service provider specialized in data projects with business impact +In January 2020, Python Predictions joined Tobania – a leading Belgian business & technology consulting. And in turn, in March 2023, Tobania joined Sopra Steria – a major Tech player in Europe recognized for its consulting, digital services and software development +Great variation in job content due to missions in different industries, different domains and different environments +In-company training adapted to your personal needs +Continuous learning in monthly team meetings and personal development time +A great team of colleagues with shared values + +Discover our Tobania galaxy + +Show more ","
    + + + + + +
    +
    +

    What can you expect?

    Python Predictions is currently looking for an experienced Machine Learning Engineer. In this role, you will need to be able to adapt quickly to new technologies, applications and environments. You will operate with our current clients on a medium to long-term basis.

    As an ML Engineer, you will help our clients building and serving machine learning models. More specifically, the responsibilities include:

    • Design and implement solutions to serve machine learning models, from traditional ML to Generative AI.
    • Train, improve, and deploy ML models.
    • Write production ready code and serve online, batch, and real time models
    • Identify, design, and implement process improvements in the machine learning lifecylce: automating manual processes, optimizing data delivery, re-design infrastructure for greater scalability, etc
    • Collaborate with Data Scientists, MLOps Engineers and Data Engineers, to integrate all parts of the solution.
    • Coach colleagues and clients in your area of expertise



    Who are we looking for?

    Required

    • Master or PhD in Machine Learning, Artificial Intelligence, Computer Engineering, or related field.
    • At least 3 years of experience as a Machine Learning Engineer, Data Scientist, MLOps Engineer, or in a similar position.
    • Strong software engineering background
    • Experience deploying machine learning in production
    • Experience with experiment tracking, models monitoring, and deployment strategies
    • Ability to write production ready code in Python.
    • Experience with CI/CD pipelines and understanding of Infrastructure as Code
    • Knowledge of containers and container orchestration.
    • Master software engineering best practices and software release cycle.
    • Solid understanding of Linux and in depth knowledge of at least one cloud provider.
    • Knowledge of big data technologies such as Apache Spark, Kafka.
    • Able to coach others and give technical advice and direction.Experience building, scheduling and maintaining ML pipelines
    • Able to work independently, prioritize multiple stakeholders and tasks, and manage work time effectively
    • Proficient in English, knowledge of Dutch and/or French is a plus



    What do we have to offer?

    • Python Predictions is a Brussels-based service provider specialized in data projects with business impact
    • In January 2020, Python Predictions joined Tobania – a leading Belgian business & technology consulting. And in turn, in March 2023, Tobania joined Sopra Steria – a major Tech player in Europe recognized for its consulting, digital services and software development
    • Great variation in job content due to missions in different industries, different domains and different environments
    • In-company training adapted to your personal needs
    • Continuous learning in monthly team meetings and personal development time
    • A great team of colleagues with shared values

    Discover our Tobania galaxy

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-17,[] +3964310986,https://www.linkedin.com/jobs/view/artificial-intelligence-engineer-trustwothy-ai-at-nemko-3964310986?position=48&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=2x1cbV7OhlUmvJWb73ZlPg%3D%3D&trk=public_jobs_jserp-result_search-card,Artificial Intelligence Engineer - Trustwothy AI,Nemko,European Union,"Step into a critical role at Nemko Digital as our AI (Artificial Intelligence) Engineer specializing in Trustworthy AI. This position is at the forefront of our mission to ensure that AI systems operate with the highest standards of trustworthiness, fairness, and safety. + + + + +In this role, you will leverage your AI engineering expertise to define, deploy, operate, and develop our Trustworthy AI Toolbox. Your work will be essential in helping our customers navigate the regulatory and normative landscape of AI, ensuring their systems are fair, transparent, and robust. This is an exceptional opportunity to make a significant impact on a global scale and drive the future of AI technologies. + + + + +Key Responsibilities + + + + +As the AI (Artificial Intelligence) Engineer for Trustworthy AI at Nemko Digital, you will play a pivotal role in ensuring the ethical and technical integrity of AI systems. Your responsibilities will include: + + + + +Development and Deployment: + +Define, develop, and deploy our Trustworthy AI Toolbox used in delivering technical assurance services. +Implement and operate tools and techniques to ensure AI systems' fairness, transparency, and robustness. + + + + +Ethical Frameworks: + +Collaborate with Ethical AI experts to develop and maintain ethical guidelines and frameworks. +Ensure compliance with global standards and regulations like the EU AI Act, ISO 42001, and NIST RMF. + + + + +Bias Detection and Mitigation: + +Utilize techniques and tools to identify and mitigate biases in datasets, algorithms, and models. +Ensure equitable outcomes and provide technical assurance for AI systems. + + + + +Technical Audits and Fairness Testing: + +Conduct technical audits and fairness tests on AI systems. +Analyze impacts across demographic groups and recommend changes to ensure fairness. + + + + +Robustness and Transparency: + +Test AI models' robustness against adversarial attacks and unexpected scenarios. +Develop methods to enhance AI systems' transparency and explainability. + + + + +Compliance and Standards Adherence: + +Ensure AI systems comply with relevant ethical standards, industry regulations, and best practices. +Conduct ethical risk assessments and continuously evaluate AI systems in production. + + + + +Stakeholder Collaboration and Training: + +Work with customers and internal teams to integrate ethical considerations into the AI development lifecycle. +Develop and deliver training programs on technical assurance and ethical AI best practices. + + + + +Key Requirements and More About You + + + + +Proven AI Engineering Experience: Demonstrable experience as an AI Engineer with a specific focus on trustworthy AI, emphasizing the development and deployment of ethically sound and reliable AI systems. +AI Monitoring and Testing Expertise: Strong understanding and practical knowledge of AI monitoring and testing methodologies and tools, critical for ensuring the performance and safety of AI systems. +Regulatory Framework Knowledge: Familiarity with relevant regulatory frameworks and standards that govern artificial intelligence, ensuring compliance and ethical integrity of AI deployments. +AI Governance Tools Proficiency: Required proficiency with essential AI Governance tools such as IBM WatsonX and OneTrust AI Governance, or equivalent solutions. +Educational Background: A university degree in Artificial Intelligence, Software Engineering, or a closely related field, providing a strong technical foundation. +Communication and Stakeholder Management: Excellent communication skills and proven abilities in managing stakeholders effectively, essential for collaborative project success. +Language Proficiency: Fluency in English, necessary for clear and effective communication in a global team environment. + + + + +More About You + + + + +You are an analytical and strategic thinker with a passion for innovation and ethical technology. Your proactive approach and confidence drive you to constantly seek new challenges and opportunities. You thrive in environments where you can leverage your technical skills to solve complex problems and develop innovative solutions. Your ability to think long-term and plan strategically sets you apart, and you are always looking for ways to push boundaries and achieve excellence. + + + + +Independence and Proactivity: + + + + +You are highly independent and self-motivated, thriving with minimal supervision. +Your proactive nature ensures that you are always ahead, driving innovation and improvement. + + + + +Confidence and Decisiveness: + + + + +Your confidence and decisiveness enable you to make informed decisions quickly and effectively. +You handle stress well and maintain composure under pressure, ensuring you navigate challenges with ease. + + + + +Ethical and Rational Decision-Making: + + + + +You prioritize logic and rationality in your decision-making processes. +Your commitment to ethical principles ensures the fairness and transparency of AI systems. + + + + +Collaboration and Communication: + + + + +You excel at building strong relationships with clients, stakeholders, and team members. +Your ability to communicate complex ideas clearly makes you an effective collaborator and trainer. + + + + +Innovation and Improvement: + + + + +You constantly seek to improve systems and processes, driving innovation in AI technology. +Your strategic vision and focus on improvement ensure that AI systems are robust, fair, and transparent. + + + + +About Nemko Digital + + + + +Nemko Digital stands at the forefront of the evolving field of “AI Trust,” addressing both soft and hard assurance elements to meet global regulations and standards such as the EU AI Act, ISO 42001, and NIST RMF. With over 90 years of legacy in ensuring the compliance and trustworthiness of products, systems, and personnel around the world through Nemko Group AS, we are now extending this expertise to the realm of artificial intelligence. + + + + +Located in Utrecht, Netherlands, Nemko Digital is dedicated to continuing this tradition by making AI systems reliable, fair, and safe for the digital age. Supported by our parent company headquartered in Oslo and an extensive global network of offices, laboratories, and partners, Nemko Digital leads the charge in pioneering AI assurance and shaping the future of AI innovation. + +Show more ","
    + + + + + +
    +
    +

    Step into a critical role at Nemko Digital as our AI (Artificial Intelligence) Engineer specializing in Trustworthy AI. This position is at the forefront of our mission to ensure that AI systems operate with the highest standards of trustworthiness, fairness, and safety.


    In this role, you will leverage your AI engineering expertise to define, deploy, operate, and develop our Trustworthy AI Toolbox. Your work will be essential in helping our customers navigate the regulatory and normative landscape of AI, ensuring their systems are fair, transparent, and robust. This is an exceptional opportunity to make a significant impact on a global scale and drive the future of AI technologies.


    Key Responsibilities


    As the AI (Artificial Intelligence) Engineer for Trustworthy AI at Nemko Digital, you will play a pivotal role in ensuring the ethical and technical integrity of AI systems. Your responsibilities will include:


    Development and Deployment:

    • Define, develop, and deploy our Trustworthy AI Toolbox used in delivering technical assurance services.
    • Implement and operate tools and techniques to ensure AI systems' fairness, transparency, and robustness.


    Ethical Frameworks:

    • Collaborate with Ethical AI experts to develop and maintain ethical guidelines and frameworks.
    • Ensure compliance with global standards and regulations like the EU AI Act, ISO 42001, and NIST RMF.


    Bias Detection and Mitigation:

    • Utilize techniques and tools to identify and mitigate biases in datasets, algorithms, and models.
    • Ensure equitable outcomes and provide technical assurance for AI systems.


    Technical Audits and Fairness Testing:

    • Conduct technical audits and fairness tests on AI systems.
    • Analyze impacts across demographic groups and recommend changes to ensure fairness.


    Robustness and Transparency:

    • Test AI models' robustness against adversarial attacks and unexpected scenarios.
    • Develop methods to enhance AI systems' transparency and explainability.


    Compliance and Standards Adherence:

    • Ensure AI systems comply with relevant ethical standards, industry regulations, and best practices.
    • Conduct ethical risk assessments and continuously evaluate AI systems in production.


    Stakeholder Collaboration and Training:

    • Work with customers and internal teams to integrate ethical considerations into the AI development lifecycle.
    • Develop and deliver training programs on technical assurance and ethical AI best practices.


    Key Requirements and More About You


    • Proven AI Engineering Experience: Demonstrable experience as an AI Engineer with a specific focus on trustworthy AI, emphasizing the development and deployment of ethically sound and reliable AI systems.
    • AI Monitoring and Testing Expertise: Strong understanding and practical knowledge of AI monitoring and testing methodologies and tools, critical for ensuring the performance and safety of AI systems.
    • Regulatory Framework Knowledge: Familiarity with relevant regulatory frameworks and standards that govern artificial intelligence, ensuring compliance and ethical integrity of AI deployments.
    • AI Governance Tools Proficiency: Required proficiency with essential AI Governance tools such as IBM WatsonX and OneTrust AI Governance, or equivalent solutions.
    • Educational Background: A university degree in Artificial Intelligence, Software Engineering, or a closely related field, providing a strong technical foundation.
    • Communication and Stakeholder Management: Excellent communication skills and proven abilities in managing stakeholders effectively, essential for collaborative project success.
    • Language Proficiency: Fluency in English, necessary for clear and effective communication in a global team environment.


    More About You


    You are an analytical and strategic thinker with a passion for innovation and ethical technology. Your proactive approach and confidence drive you to constantly seek new challenges and opportunities. You thrive in environments where you can leverage your technical skills to solve complex problems and develop innovative solutions. Your ability to think long-term and plan strategically sets you apart, and you are always looking for ways to push boundaries and achieve excellence.


    Independence and Proactivity:


    • You are highly independent and self-motivated, thriving with minimal supervision.
    • Your proactive nature ensures that you are always ahead, driving innovation and improvement.


    Confidence and Decisiveness:


    • Your confidence and decisiveness enable you to make informed decisions quickly and effectively.
    • You handle stress well and maintain composure under pressure, ensuring you navigate challenges with ease.


    Ethical and Rational Decision-Making:


    • You prioritize logic and rationality in your decision-making processes.
    • Your commitment to ethical principles ensures the fairness and transparency of AI systems.


    Collaboration and Communication:


    • You excel at building strong relationships with clients, stakeholders, and team members.
    • Your ability to communicate complex ideas clearly makes you an effective collaborator and trainer.


    Innovation and Improvement:


    • You constantly seek to improve systems and processes, driving innovation in AI technology.
    • Your strategic vision and focus on improvement ensure that AI systems are robust, fair, and transparent.


    About Nemko Digital


    Nemko Digital stands at the forefront of the evolving field of “AI Trust,” addressing both soft and hard assurance elements to meet global regulations and standards such as the EU AI Act, ISO 42001, and NIST RMF. With over 90 years of legacy in ensuring the compliance and trustworthiness of products, systems, and personnel around the world through Nemko Group AS, we are now extending this expertise to the realm of artificial intelligence.


    Located in Utrecht, Netherlands, Nemko Digital is dedicated to continuing this tradition by making AI systems reliable, fair, and safe for the digital age. Supported by our parent company headquartered in Oslo and an extensive global network of offices, laboratories, and partners, Nemko Digital leads the charge in pioneering AI assurance and shaping the future of AI innovation.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3982885327,https://be.linkedin.com/jobs/view/research-engineer-applied-ai-at-kapa-ai-3982885327?position=49&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=eeiDZ1vXMcPjaL%2BZnXD0LQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Research Engineer, Applied AI",kapa.ai,Belgium,"As a research engineer you will work on improving kapa’s ability to answer harder and harder technical questions. Check out Docker’s documentation for a live example of what kapa is. + +In This Role, You Will + + +Work directly with the founding team and our software engineers. +Work on and do research in state-of-the-art retrieval and search techniques. +Work on and deploy machine learning models as part of RAG. +Continuously improve our quality evaluation frameworks to enable robust iteration. +Keep up with the latest developments in the space and see how they can be applied. +Design and run experiments. + + +In addition to the founding team, you'll have support from a number of leading academics in the field that are all close advisors (incl. Douwe Kiela, author of the original RAG paper). + +You May Be a Good Fit If You Have + + +A Master's/ PhD degree in Computer Science, Machine Learning, Mathematics, Statistics or a related field. +A detailed understanding of machine learning, deep learning (including LLMs) and natural language processing. +Hands-on experience in training, fine-tuning and deploying large language models. +Have prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases. +Significant experience building evaluation systems for LLMs or search. +Familiarity with various information retrieval techniques, such as lexical search and dense vector search. +The ability to work effectively in a fast in a environment where things are sometimes loosely defined. +Want to learn more about machine learning research. +This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to kapa.ai, please reach out. +Show more ","
    + + + + + +
    +
    + As a research engineer you will work on improving kapa’s ability to answer harder and harder technical questions. Check out Docker’s documentation for a live example of what kapa is.

    In This Role, You Will

    • Work directly with the founding team and our software engineers.
    • Work on and do research in state-of-the-art retrieval and search techniques.
    • Work on and deploy machine learning models as part of RAG.
    • Continuously improve our quality evaluation frameworks to enable robust iteration.
    • Keep up with the latest developments in the space and see how they can be applied.
    • Design and run experiments.

    In addition to the founding team, you'll have support from a number of leading academics in the field that are all close advisors (incl. Douwe Kiela, author of the original RAG paper).

    You May Be a Good Fit If You Have

    • A Master's/ PhD degree in Computer Science, Machine Learning, Mathematics, Statistics or a related field.
    • A detailed understanding of machine learning, deep learning (including LLMs) and natural language processing.
    • Hands-on experience in training, fine-tuning and deploying large language models.
    • Have prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases.
    • Significant experience building evaluation systems for LLMs or search.
    • Familiarity with various information retrieval techniques, such as lexical search and dense vector search.
    • The ability to work effectively in a fast in a environment where things are sometimes loosely defined.
    • Want to learn more about machine learning research.
    • This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to kapa.ai, please reach out.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-24,[] +4000363725,https://be.linkedin.com/jobs/view/machine-learning-ops-engineer-at-jss-associates-4000363725?position=50&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=FURNsw3gIlsdVQiWpb70PA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Ops Engineer,JSS ASSOCIATES,"Brussels Region, Belgium","Job Description: Machine Learning Ops Engineer + +Location: Brussels, Belgium + + + + +About the Role: The Machine Learning Ops Engineer will be responsible for deploying, monitoring, and optimizing machine learning models in production environments. The ideal candidate should have a strong background in Python, AI/ML standard libraries, and MLOps frameworks, with experience in cloud platforms, particularly Azure. This role involves collaboration with data engineers, data scientists, and DevOps teams to ensure the seamless integration and operation of AI solutions within the organization. + + + + + + + +Responsibilities: + + + + +Python Development & AI/ML Libraries: + +Develop and maintain machine learning models using Python and standard AI/ML libraries such as Pandas, Scikit-learn, and XGBoost. +Utilize data processing libraries and frameworks like Pydantic and Pandera for data validation and manipulation. + + + + +MLOps Frameworks & Tools: + +Implement and manage MLOps frameworks such as MLFlow, Azure ML Studio, and DVC for version control and model management. +Monitor model performance using tools like NannyML and Evidently AI. +Manage distributed processing frameworks such as Ray, Dask, and PySpark for scalable model training and inference. +Build and orchestrate data pipelines using tools like Airflow, Dagster, and Kedro. + + + + +Code Quality & Packaging: + +Write clean, maintainable, and well-tested code following best practices in both object-oriented and functional programming. +Package Python applications or libraries for distribution and ensure code is well-documented. +Collaborate using GIT, following best practices for branching, merging, and code reviews. + + + + +Cloud & DevOps Integration: + +Deploy machine learning models to production environments on cloud platforms, with a preference for Azure Cloud. +Leverage Unix/Linux command line tools and scripting for automation and troubleshooting. + + + + +Data Engineering & ETL/ELT: + +Interact with data engineering teams to analyze and troubleshoot data pipelines. +Use SQL for data extraction, transformation, and loading (ETL/ELT) processes. +Experience with the Hadoop ecosystem (Spark, Kafka, Hive, Impala) and the Cloudera distribution is a plus. + + + + +Communication & Collaboration: + +Present complex concepts and the results of use cases to various audiences, including end-users and management. +Work within Agile project management frameworks, participating in scrum boards, standups, demos, and reviews. +Mentor and share knowledge with team members, promoting MLOps best practices across the organization. + + + + +Required Skills: + +Strong verbal and written communication skills. +Experience working in large, complex enterprises. +Commitment to continuous learning. +Ability to estimate effort accurately and deliver work on time. + +Show more ","
    + + + + + +
    +
    +

    Job Description: Machine Learning Ops Engineer

    Location: Brussels, Belgium


    About the Role: The Machine Learning Ops Engineer will be responsible for deploying, monitoring, and optimizing machine learning models in production environments. The ideal candidate should have a strong background in Python, AI/ML standard libraries, and MLOps frameworks, with experience in cloud platforms, particularly Azure. This role involves collaboration with data engineers, data scientists, and DevOps teams to ensure the seamless integration and operation of AI solutions within the organization.



    Responsibilities:


    Python Development & AI/ML Libraries:

    • Develop and maintain machine learning models using Python and standard AI/ML libraries such as Pandas, Scikit-learn, and XGBoost.
    • Utilize data processing libraries and frameworks like Pydantic and Pandera for data validation and manipulation.


    MLOps Frameworks & Tools:

    • Implement and manage MLOps frameworks such as MLFlow, Azure ML Studio, and DVC for version control and model management.
    • Monitor model performance using tools like NannyML and Evidently AI.
    • Manage distributed processing frameworks such as Ray, Dask, and PySpark for scalable model training and inference.
    • Build and orchestrate data pipelines using tools like Airflow, Dagster, and Kedro.


    Code Quality & Packaging:

    • Write clean, maintainable, and well-tested code following best practices in both object-oriented and functional programming.
    • Package Python applications or libraries for distribution and ensure code is well-documented.
    • Collaborate using GIT, following best practices for branching, merging, and code reviews.


    Cloud & DevOps Integration:

    • Deploy machine learning models to production environments on cloud platforms, with a preference for Azure Cloud.
    • Leverage Unix/Linux command line tools and scripting for automation and troubleshooting.


    Data Engineering & ETL/ELT:

    • Interact with data engineering teams to analyze and troubleshoot data pipelines.
    • Use SQL for data extraction, transformation, and loading (ETL/ELT) processes.
    • Experience with the Hadoop ecosystem (Spark, Kafka, Hive, Impala) and the Cloudera distribution is a plus.


    Communication & Collaboration:

    • Present complex concepts and the results of use cases to various audiences, including end-users and management.
    • Work within Agile project management frameworks, participating in scrum boards, standups, demos, and reviews.
    • Mentor and share knowledge with team members, promoting MLOps best practices across the organization.


    Required Skills:

    • Strong verbal and written communication skills.
    • Experience working in large, complex enterprises.
    • Commitment to continuous learning.
    • Ability to estimate effort accurately and deliver work on time.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +4004145978,https://be.linkedin.com/jobs/view/machine-learning-engineer-at-dataroots-4004145978?position=51&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=eHG1CWMdozOOqJSDi7OaQw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,dataroots,"Leuven, Flemish Region, Belgium","🤖 The Job + +Dataroots researches, designs and codes robust AI-solutions & platforms for various sectors, with a strong focus on DataOps and MLOps. As Machine Learning Engineer you are part of our dedicated in-house team of AI-specialists. You excel in building machine learning models which result in our robust and production-ready solutions to optimise company processes. + +You love data and turning data inside out to reveal all its secrets. You are an expert in developing and implementing various statistical and machine learning models and you are in charge of controlling the performances of your models output. You love to experiment with different approaches to ensure your client the best-in-class solution. To achieve this, you collaborate closely with our data engineers and/or cloud architects on projects for various sectors, always with a quality focused, end-to-end approach. The result? Our teams provide clients a reliable foundation to make data-driven decisions. + +As a senior, you will also build and share knowledge with your colleagues. Through a multitude of initiatives, you have various chances to share your knowledge and keep up to date with the latest developments in the field. + + + + +🎉 What you can expect at Dataroots + +Dataroots was founded in 2016 and, since its beginnings, has focused on helping its customers achieve excellence in their data-driven operations. The only way to do this sustainably is by investing in team well-being, diversity, knowledge sharing and customer experience. This quality-first focus has allowed sustained and healthy growth over the years. Join a team where you can have an impact on our growth story. Read up more on our DNA over at [https://dataroots.io/our-dna]. + + + + +💪 The Skills + +You have a knack for Machine Learning and have attained a Masters or Doctorate in a quantitative field. +You have a strong background and are opinionated on software design principles. +You have at least 2 years experience in a field related to machine learning and big data. +You have a strong theoretical basis and experience in general machine learning & deep learning. +You are excellent in Python. Experience in SQL is a big plus, knowledge of R or Scala is a bonus. +You have an initial experience in deploying ML models and expertise in MLOps. +You have a basic understanding of cloud engineering. +You get excited by large amounts of data. +You approach problems with a pragmatic mindset. +You have strong communication skills and can translate complex solutions into clear and understandable explanations. +You have a good overview over the (big-)data ecosystem. +You speak English and Dutch fluently. + + + + +Was this list a bit much? Don't worry, we don't expect you to tick every box from the beginning. Most of all we are looking for colleagues with the same passion for personal and team development as the rest of us. + + + + +💰 The Offer + +* An attractive salary package with extralegal benefits such as a company car & fuel card or mobility budget, hospitalisation insurance, group insurance, and a high-end laptop and a smartphone. + +* A personal & team training budget to further your professional career. + +* Your innovation budget to work on cool, educational, challenging and open-source projects within your guild. + +* (Virtual) Team Buildings, team gatherings to let off steam and be part of our sports initiatives. + + + + +🇧🇪 Our main offices are in Leuven, Ghent and Utrecht 🇳🇱, with co-working spaces in Charleroi and Antwerp. These locations are always available for brainstorming sessions or team events. As a Dataroots consultant, much work can be performed remotely, but you will most likely also visit our clients on-site. + + + + +Ready for a new chapter as a Machine Learning Engineer at Dataroots? Super! Apply now! 🎉 + +Show more ","
    + + + + + +
    +
    +

    🤖 The Job

    Dataroots researches, designs and codes robust AI-solutions & platforms for various sectors, with a strong focus on DataOps and MLOps. As Machine Learning Engineer you are part of our dedicated in-house team of AI-specialists. You excel in building machine learning models which result in our robust and production-ready solutions to optimise company processes.

    You love data and turning data inside out to reveal all its secrets. You are an expert in developing and implementing various statistical and machine learning models and you are in charge of controlling the performances of your models output. You love to experiment with different approaches to ensure your client the best-in-class solution. To achieve this, you collaborate closely with our data engineers and/or cloud architects on projects for various sectors, always with a quality focused, end-to-end approach. The result? Our teams provide clients a reliable foundation to make data-driven decisions.

    As a senior, you will also build and share knowledge with your colleagues. Through a multitude of initiatives, you have various chances to share your knowledge and keep up to date with the latest developments in the field.


    🎉 What you can expect at Dataroots

    Dataroots was founded in 2016 and, since its beginnings, has focused on helping its customers achieve excellence in their data-driven operations. The only way to do this sustainably is by investing in team well-being, diversity, knowledge sharing and customer experience. This quality-first focus has allowed sustained and healthy growth over the years. Join a team where you can have an impact on our growth story. Read up more on our DNA over at [https://dataroots.io/our-dna].


    💪 The Skills

    • You have a knack for Machine Learning and have attained a Masters or Doctorate in a quantitative field.
    • You have a strong background and are opinionated on software design principles.
    • You have at least 2 years experience in a field related to machine learning and big data.
    • You have a strong theoretical basis and experience in general machine learning & deep learning.
    • You are excellent in Python. Experience in SQL is a big plus, knowledge of R or Scala is a bonus.
    • You have an initial experience in deploying ML models and expertise in MLOps.
    • You have a basic understanding of cloud engineering.
    • You get excited by large amounts of data.
    • You approach problems with a pragmatic mindset.
    • You have strong communication skills and can translate complex solutions into clear and understandable explanations.
    • You have a good overview over the (big-)data ecosystem.
    • You speak English and Dutch fluently.


    Was this list a bit much? Don't worry, we don't expect you to tick every box from the beginning. Most of all we are looking for colleagues with the same passion for personal and team development as the rest of us.


    💰 The Offer

    * An attractive salary package with extralegal benefits such as a company car & fuel card or mobility budget, hospitalisation insurance, group insurance, and a high-end laptop and a smartphone.

    * A personal & team training budget to further your professional career.

    * Your innovation budget to work on cool, educational, challenging and open-source projects within your guild.

    * (Virtual) Team Buildings, team gatherings to let off steam and be part of our sports initiatives.


    🇧🇪 Our main offices are in Leuven, Ghent and Utrecht 🇳🇱, with co-working spaces in Charleroi and Antwerp. These locations are always available for brainstorming sessions or team events. As a Dataroots consultant, much work can be performed remotely, but you will most likely also visit our clients on-site.


    Ready for a new chapter as a Machine Learning Engineer at Dataroots? Super! Apply now! 🎉

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3999460708,https://be.linkedin.com/jobs/view/data-engineering-for-computer-scientists-at-tutorrio-by-klarrio-3999460708?position=54&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=aXa9H4IIi9LnVVkwqBbncA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineering for Computer Scientists,tutorrio by Klarrio,Antwerp Metropolitan Area,"Master the Art of Data Engineering + + + + +tutorrio is a data engineering learning space with a hands-on intensive program that meets society’s and industry's needs. It's different from anything else out there: it goes beyond pure technology. + +At tutorrio, you'll learn from the best! Taught exclusively by seasoned experts recognized in their respective fields, you'll participate in exercises closely resembling those encountered at Klarrio and throughout your professional path as a data engineer. + +Our programs are limited to a small number of candidates, enabling tailored instruction with personalized feedback. + +And here's the exciting part — you'll earn while you learn, ensuring a salary from day one. Moreover, we provide everything you need: including cutting-edge study materials, access to state-of-the-art open-source technologies, engaging projects, and a team of proficient experts. + +All of this in the heart of Antwerp, featuring the best rooftop view in town! + + + + + + + +Data Engineering for Computer Scientists4 MONTHS ○ FULL TIMESTARTS JANUARY 2025 + + + + +Are you a bachelor’s or master’s graduate in Computer Science who wants to become a Data Engineer? + +Explore and master data-intensive computing, the design and development of data-intensive applications, and data fabrics. + +Become a data engineer in only 4 months! + + + + +More information & application at www.tutorrio.com + +Show more ","
    + + + + + +
    +
    +

    Master the Art of Data Engineering


    tutorrio is a data engineering learning space with a hands-on intensive program that meets society’s and industry's needs. It's different from anything else out there: it goes beyond pure technology.

    At tutorrio, you'll learn from the best! Taught exclusively by seasoned experts recognized in their respective fields, you'll participate in exercises closely resembling those encountered at Klarrio and throughout your professional path as a data engineer.

    Our programs are limited to a small number of candidates, enabling tailored instruction with personalized feedback.

    And here's the exciting part — you'll earn while you learn, ensuring a salary from day one. Moreover, we provide everything you need: including cutting-edge study materials, access to state-of-the-art open-source technologies, engaging projects, and a team of proficient experts.

    All of this in the heart of Antwerp, featuring the best rooftop view in town!



    Data Engineering for Computer Scientists4 MONTHS ○ FULL TIMESTARTS JANUARY 2025


    Are you a bachelor’s or master’s graduate in Computer Science who wants to become a Data Engineer?

    Explore and master data-intensive computing, the design and development of data-intensive applications, and data fabrics.

    Become a data engineer in only 4 months!


    More information & application at www.tutorrio.com

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3996511799,https://www.linkedin.com/jobs/view/data-scientist-recommender-systems-at-eyespy-recruitment-igaming-specialists-3996511799?position=55&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=3zPWQDPh0sYO6KQlPAknmA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Recommender Systems,EyeSpy Recruitment - iGaming Specialists,European Union,"Job Description: + + + + +We are seeking an experienced Data Scientist with a strong focus on Recommender Systems. In this role, you will be responsible for designing, developing, deploying, and monitoring of advanced recommender systems that cater to our diverse user base. + + + + +Key responsibilities: + + + + +Design and develop algorithms to deliver tailored recommendations to our user base. +Improve the efficiency and scalability of recommendation systems to handle large volumes of data and ensure fast response times. +Conduct rigorous A/B testing to validate and iterate recommender models. +Efficiently handle and integrate data from various sources, including APIs, databases, and Google Analytics. +Collaborate with cross-functional teams across data and engineering to produce solutions to complex problem statements. +Continuously monitor system performance, troubleshoot issues, and implement improvements/optimizations. +Create and maintain dashboards that provide actionable insights. +Stay updated with the latest trends and advancements in recommender systems. + + + + +Required Skills and Qualifications: + + + + +Bachelor's or Master's degree in Computer Science, Engineering, or a related field. +Strong proficiency in Python, with extensive experience in PyTorch and/or TensorFlow. +Proven experience in managing and analysing large datasets. +Solid understanding of relational and NoSQL databases. +In-depth experience with Retrieval, Ranking, Batch, Live and Sequential recommendations. +Knowledge of architectures for recommenders such as Two-Tower, DLRM, DCN. +Experience with NVIDIA Merlin, TensorFlow Recommenders, NVTabular. +Experience with unit and integration tests (Pytest) and CICD pipelines. +Experience with data versioning, model management, experiment tracking. +Familiarity with key recommender metrics and optimization techniques. +Extensive knowledge and hands-on experience in Docker. +Excellent problem-solving, analytical, and communication skills. + +Nice to Have: + + + + +Experience with distributed computing - Spark and / or Dask, or other technologies. +Experience with Azure services such as ML Studio, Data Factory, Functions, Blob Storage (or any other cloud provider equivalent services). + +Show more ","
    + + + + + +
    +
    +

    Job Description:


    We are seeking an experienced Data Scientist with a strong focus on Recommender Systems. In this role, you will be responsible for designing, developing, deploying, and monitoring of advanced recommender systems that cater to our diverse user base.


    Key responsibilities:


    • Design and develop algorithms to deliver tailored recommendations to our user base.
    • Improve the efficiency and scalability of recommendation systems to handle large volumes of data and ensure fast response times.
    • Conduct rigorous A/B testing to validate and iterate recommender models.
    • Efficiently handle and integrate data from various sources, including APIs, databases, and Google Analytics.
    • Collaborate with cross-functional teams across data and engineering to produce solutions to complex problem statements.
    • Continuously monitor system performance, troubleshoot issues, and implement improvements/optimizations.
    • Create and maintain dashboards that provide actionable insights.
    • Stay updated with the latest trends and advancements in recommender systems.


    Required Skills and Qualifications:


    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
    • Strong proficiency in Python, with extensive experience in PyTorch and/or TensorFlow.
    • Proven experience in managing and analysing large datasets.
    • Solid understanding of relational and NoSQL databases.
    • In-depth experience with Retrieval, Ranking, Batch, Live and Sequential recommendations.
    • Knowledge of architectures for recommenders such as Two-Tower, DLRM, DCN.
    • Experience with NVIDIA Merlin, TensorFlow Recommenders, NVTabular.
    • Experience with unit and integration tests (Pytest) and CICD pipelines.
    • Experience with data versioning, model management, experiment tracking.
    • Familiarity with key recommender metrics and optimization techniques.
    • Extensive knowledge and hands-on experience in Docker.
    • Excellent problem-solving, analytical, and communication skills.

    Nice to Have:


    • Experience with distributed computing - Spark and / or Dask, or other technologies.
    • Experience with Azure services such as ML Studio, Data Factory, Functions, Blob Storage (or any other cloud provider equivalent services).

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +3984296594,https://www.linkedin.com/jobs/view/senior-data-scientist-at-fundraise-up-3984296594?position=56&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=ho3W4q0jHwdo54%2FIkqSpvQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,Fundraise Up,European Union,"Мы делаем фандрайзинговую платформу Fundraise Up. Это самый удобный и быстрый способ пожертвовать деньги в пользу некоммерческого фонда. Мы изобретаем способы ускорить загрузку, увеличить конверсию, принять оплату разными способами и т.д. Каждый месяц люди со всего мира донатят десятки миллионов долларов через нашу платформу. + +Крупнейшие некоммерческие организации мира используют наше решение чтобы собирать деньги. Например, UNICEF, самый известный международный фонд ООН, делает весь онлайн-фандрайзинг на нашей платформе. Аналогично поступают Барак Обама, Ассоциация изучения Альцгеймера и многие другие. Наш рейтинг на самой популярной платформе для отзывов — 4.9 из 5. + +Мы работаем в энтерпрайз-сегменте. Наши клиенты находятся по всему миру, но основная концентрация приходится на США, Канаду, Великобританию и Австралию. + + + + +Продукт + +Продукт, который мы делаем — большой и сложный. Он состоит из нескольких частей: чекаут и виджеты (каждый из них, это небольшое SPA), порталы для донора, организации и партнеров, админка и еще несколько приложений. + + + + +Команда + +В компании работает 180 человек. В офисе в Нью-Йорке маркетинг, продажи, онбординг и саппорт. Удаленно мы принимаем продуктовые решения, делаем дизайн и разработку. + +Продуктовая команда маленькая и в этом кайф — у нас нет «незначительных» задач. Все что мы делаем — важно. Команда сильная и в этом отдельный кайф — всегда интересно быть в окружении крутых людей, которые делятся опытом. + + + + +Кого ищем + +Есть опыт решения задач в одной и более областей из: +RecSys; +Ulift modeling; +Churn prediction; +LTV prediction; +Forecasting. +Умение проводить A/B тестирование моделей в production; +Владение MLOps инструментами для сервинга и мониторинга моделей; +Хорошее знание SQL; +Уровень английского языка не ниже Intermediate. + +Супер-важно уметь соблюдать все виды договоренностей. + + + + +Пара важных вещей + +Позиция предполагает релокацию из РФ и РБ. При желании вы можете воспользоваться нашей программой релокации, которая распространяется на Европу, Сербию и Грузию. +Мы работаем удаленно, но с 9 до 18 часов по CET. В это время мы интенсивно созваниваемся и много обсуждаем. + + + + +Формальный список того, что нужно делать + +Полный цикл обработки данных (EDA, сбор и очистка данных, feature engineering и т.д.), +Решение задач регрессии, кластеризации, классификации, +Разработка и реализация моделей машинного обучения, +Доведение моделей до Production. + + + + +Зачем мы вам + +Мы строим сильную команду людей с горящими глазами. У каждого свой опыт, которым он охотно делится. +У нас нет ветвистой иерархии, все люди доступны на расстоянии zoom-звонка. В компании открыта почти вся финансовая статистика, мы регулярно рассказываем как устроен продукт, продажи, саппорт, откуда появляются клиенты и деньги, что интересного случилось и т.д. +Мы верим в долгие отношения и выдаем разработчикам сток-опции. Компания хорошо растет — только за прошлый год мы вырастили метрики в два раза. + + + + +Бонусы + +Нам важно чтобы работая удаленно, вы чувствовали себя комфортно. Обычно мы отправляем сотрудникам Macbook и нужное число мониторов. Если ваше рабочее место не обустроено, то пришлем стол, удобное кресло и все что нужно для продуктивной работы. + +Полностью оплачиваем необходимое ПО, книги и коворкинг, если не хотите работать из дома. Помогаем с оплатой спортзала и бассейна, курсов английского и любого профильного образования. + + + + +Раз в год собираемся всей командой в оффлайне. В 2021 мы арендовали огромную виллу на Кипре, в 2022 встречались в отеле под Тбилиси, а в 2023 устроили недельный выезд на 60 человек на курорт в Турции. В следующем году будет что-то новое :-) + +Show more ","
    + + + + + +
    +
    +

    Мы делаем фандрайзинговую платформу Fundraise Up. Это самый удобный и быстрый способ пожертвовать деньги в пользу некоммерческого фонда. Мы изобретаем способы ускорить загрузку, увеличить конверсию, принять оплату разными способами и т.д. Каждый месяц люди со всего мира донатят десятки миллионов долларов через нашу платформу.

    Крупнейшие некоммерческие организации мира используют наше решение чтобы собирать деньги. Например, UNICEF, самый известный международный фонд ООН, делает весь онлайн-фандрайзинг на нашей платформе. Аналогично поступают Барак Обама, Ассоциация изучения Альцгеймера и многие другие. Наш рейтинг на самой популярной платформе для отзывов — 4.9 из 5.

    Мы работаем в энтерпрайз-сегменте. Наши клиенты находятся по всему миру, но основная концентрация приходится на США, Канаду, Великобританию и Австралию.


    Продукт

    Продукт, который мы делаем — большой и сложный. Он состоит из нескольких частей: чекаут и виджеты (каждый из них, это небольшое SPA), порталы для донора, организации и партнеров, админка и еще несколько приложений.


    Команда

    В компании работает 180 человек. В офисе в Нью-Йорке маркетинг, продажи, онбординг и саппорт. Удаленно мы принимаем продуктовые решения, делаем дизайн и разработку.

    Продуктовая команда маленькая и в этом кайф — у нас нет «незначительных» задач. Все что мы делаем — важно. Команда сильная и в этом отдельный кайф — всегда интересно быть в окружении крутых людей, которые делятся опытом.


    Кого ищем

    • Есть опыт решения задач в одной и более областей из:
    1. RecSys;
    2. Ulift modeling;
    3. Churn prediction;
    4. LTV prediction;
    5. Forecasting.
    • Умение проводить A/B тестирование моделей в production;
    • Владение MLOps инструментами для сервинга и мониторинга моделей;
    • Хорошее знание SQL;
    • Уровень английского языка не ниже Intermediate.

    Супер-важно уметь соблюдать все виды договоренностей.


    Пара важных вещей

    • Позиция предполагает релокацию из РФ и РБ. При желании вы можете воспользоваться нашей программой релокации, которая распространяется на Европу, Сербию и Грузию.
    • Мы работаем удаленно, но с 9 до 18 часов по CET. В это время мы интенсивно созваниваемся и много обсуждаем.


    Формальный список того, что нужно делать

    • Полный цикл обработки данных (EDA, сбор и очистка данных, feature engineering и т.д.),
    • Решение задач регрессии, кластеризации, классификации,
    • Разработка и реализация моделей машинного обучения,
    • Доведение моделей до Production.


    Зачем мы вам

    • Мы строим сильную команду людей с горящими глазами. У каждого свой опыт, которым он охотно делится.
    • У нас нет ветвистой иерархии, все люди доступны на расстоянии zoom-звонка. В компании открыта почти вся финансовая статистика, мы регулярно рассказываем как устроен продукт, продажи, саппорт, откуда появляются клиенты и деньги, что интересного случилось и т.д.
    • Мы верим в долгие отношения и выдаем разработчикам сток-опции. Компания хорошо растет — только за прошлый год мы вырастили метрики в два раза.


    Бонусы

    Нам важно чтобы работая удаленно, вы чувствовали себя комфортно. Обычно мы отправляем сотрудникам Macbook и нужное число мониторов. Если ваше рабочее место не обустроено, то пришлем стол, удобное кресло и все что нужно для продуктивной работы.

    Полностью оплачиваем необходимое ПО, книги и коворкинг, если не хотите работать из дома. Помогаем с оплатой спортзала и бассейна, курсов английского и любого профильного образования.


    Раз в год собираемся всей командой в оффлайне. В 2021 мы арендовали огромную виллу на Кипре, в 2022 встречались в отеле под Тбилиси, а в 2023 устроили недельный выезд на 60 человек на курорт в Турции. В следующем году будет что-то новое :-)

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-25,[] +3990129830,https://be.linkedin.com/jobs/view/data-analyst-scientist-m-f-x-at-parking-brussels-3990129830?position=57&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=QIRUDxp7uaEbNtvuhXzxhg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst / Scientist (M/F/X),parking.brussels,"Brussels, Brussels Region, Belgium","Société + +parking.brussels est une jeune agence gouvernementale dynamique, en pleine croissance. Notre devise « mieux se garer pour mieux bouger », résume notre vision ambitieuse pour améliorer la mobilité. Notre objectif ? Harmoniser les règles de stationnement dans toute la Région bruxelloise, en collaboration avec les 19 communes. Dans cette perspective, et en vue d’œuvrer à une ville plus agréable et durable, nous sommes régulièrement en quête de nouveaux collaborateurs. + +Fonction + +Statut : Contractuel + +Contrat : A durée indéterminée + +Nombre de postes : 2 + +Localisation : Bruxelles + +Niveau d’études : Ingénieur / Master (enseignement supérieur de type long) + +Société : Agence du stationnement de la Région Bruxelles-Capitale + +Vous intégrez parking.brussels en tant que Data Analyst / Scientist, dans l’optique d’y collaborer à la maîtrise et la gouvernance des données, et d’accompagner l’évolution digitale de l’entreprise, au sein d’un nouveau département dédié au management de la data. Au-delà de vos activités propres, vous aurez ainsi l’opportunité d’accompagner l’Agence dans sa transition digitale. + +Responsabilites & Tâches (liste Non Exhaustives) + +Sous la responsabilité du Data Manager, et en collaboration avec les services de support (IT et Technologie) et les départements métier (On-street, Off-street, Finances …) : + + +Vous appréhendez les différents aspects relatifs aux données générées ou produites par l’entreprise (localisation, accès, formats, structures et contenus) ; +Vous êtes chargé de l’analyse de ces données, dont vous procédez au traitement (extraction, intégration, tests, contrôles qualité, consolidation, enrichissement ...) et à la restitution statistique (tableaux, graphiques, rapports dynamiques, cartographies) destinée à en faciliter la compréhension et l’utilisation ; +Au-delà de ces aspects d’analyse, vous exploitez toutes données disponibles sous la forme d’indicateurs pertinents eu égard aux besoins et impératifs de parking.brussels en matière de gouvernance, politique interne / externe, reporting, études et suivi opérationnel / contractuel ; +Vous participez dans ce cadre à la mise en place des processus et outils permettant l’importation / centralisation des données (au sein d’une solution de type Data Warehouse) ainsi que leur restitution dynamique (dashboard), en vue de systématiser et automatiser tant leur exploitation que leur visualisation et diffusion ; +Vous vous tenez informé des évolutions techniques relatives à ces processus et outils, et êtes en mesure de formuler des propositions à cet égard ; +Sur base de vos activités et travaux, vous faites des recommandations quant à l’amélioration des processus opérationnels et des positionnements stratégiques de l’entreprise ; +Vous documentez rigoureusement l’ensemble des étapes et procédures impliquées dans vos travaux ; +Vous prenez en charge les procédures de marchés publics associées à vos domaines d'intervention et votre champ d'expertise. + + +Profil + +FORMATION + +Vous êtes titulaire d’un Master (en data science, sciences exactes, statistique ou informatique). + +COMPÉTENCES TECHNIQUES + + +Vous disposez d’une expertise, idéalement via une expérience professionnelle pertinente, dans l’intégration, le traitement et l’analyse de sources de données corrélées, multiples et hétérogènes (y compris de séries temporelles et de données géospatiales) ; +Vous avez une bonne maîtrise des méthodes et principes d’analyses statistiques, et disposez d’une connaissance des outils de reporting BI ; +Vous disposez du bagage informatique et technique suffisant pour la bonne exécution des tâches incombant à la fonction, et démontrez d’une expérience pratique associée à ce bagage (une expérience préalable avec le langage Python, et ses librairies d’analyse et de visualisation est recommandée) ; +De la manière générale, vous êtes conscient de la diversité des domaines de la Data Science et du Big Data, ainsi que des implications associées au développement d’un projet tel que le MaaS ; +Vous avez une connaissance du GIS, idéalement d’un logiciel en accès libre, ou êtes prêt à vous former en la matière ; +Vous justifiez d’une approche scientifique et rigoureuse de votre travail, ainsi que de facultés analytiques ; +Vous disposez de qualités rédactionnelles ; +Une expertise dans le domaine du stationnement ou de la mobilité, en particulier acquise en Région de Bruxelles-Capitale, ou un certificat de conseiller en mobilité (type CEMA) sont des atouts ; +Vous avez une bonne connaissance de la Région de Bruxelles-Capitale, en ce compris de son contexte institutionnel, et des politiques qui y sont menées en matière de stationnement et de mobilité ; +Vous êtes capable de rédiger un cahier des charges et de mener une procédure de marché public ; +Vous avez au minimum une connaissance passive de l’autre langue nationale (Fr ou NL), ainsi que de l’anglais. + + +COMPÉTENCES COMPORTEMENTALES + + +Être organisé.e et planifier son travail en vue de la concrétisation des objectifs fixés ; +Savoir travailler en autonomie et prendre des initiatives tout en cultivant l’esprit d’équipe et de collaboration ; +Disposer d’aptitudes analytiques et de logique, ainsi que d’une approche scientifique et d’un sens critique ; +Intégrer, traiter et synthétiser l’information ; +Faire preuve de pédagogie, conseiller, soutenir et savoir argumenter ; +Être à l’écoute et savoir s’adapter ; +S’auto-développer. + + +Offre + +Vous serez engagé en qualité d’Attaché (A101) avec le barème de traitement correspondant. + +AVANTAGES + + +Une fonction stratégique dans une jeune institution publique, en pleine évolution, qui valorise votre implication ; +Un équilibre harmonieux entre travail et vie privée grâce à un horaire flexible dans la prestation des 38h hebdomadaires et aux possibilités de télétravail ; +Chèques-repas d'une valeur de 8 euros par jour de prestation ; +Un capital congé attrayant (35 jours et fermeture de fin d’année) ; +Gratuité des transports en commun pour le trajet domicile-travail sur Bruxelles et en dehors de Bruxelles ; +Assurance hospitalisation pour vous et les membres de votre ménage (conjoint et enfants); +Une indemnité pour le télétravail de 50 euros net par mois ; +Prime de fin d’année ; +Primes pour divers évènements (mariage, naissance, Saint-Nicolas, etc.) ; +Chèques-cadeau (Noël et anniversaires) ; +Possibilité de recevoir une prime pour les déplacements en vélo ; +Possibilité de bénéficier d’une prime de bilinguisme ; +Nombreuses possibilités de formations (à suivre durant les heures de travail) ; +PC et GSM de société avec abonnement téléphonique ; + + +LA PROCÉDURE DE SÉLECTION + +Vous êtes convaincu.e d'avoir le profil adéquat pour cette fonction ? Téléchargez votre CV et votre lettre de motivation en cliquant sur « postuler maintenant ». Vous recevrez ensuite un e-mail de confirmation de votre candidature. + +Les candidat.e.s retenu.e.s seront invité.e.s à participer à la procédure de sélection au sein de l’Agence du stationnement de la Région Bruxelles-Capitale. + +En tant que personne présentant un handicap, un trouble ou une maladie, vous pouvez demander des aménagements raisonnables de la procédure de sélection. Vous devez mentionner ceci au moment de l’envoi de votre C.V. + +Date limite pour le dépôt de la candidature : 01/09/2024 +Show more ","
    + + + + + +
    +
    + Société

    parking.brussels est une jeune agence gouvernementale dynamique, en pleine croissance. Notre devise « mieux se garer pour mieux bouger », résume notre vision ambitieuse pour améliorer la mobilité. Notre objectif ? Harmoniser les règles de stationnement dans toute la Région bruxelloise, en collaboration avec les 19 communes. Dans cette perspective, et en vue d’œuvrer à une ville plus agréable et durable, nous sommes régulièrement en quête de nouveaux collaborateurs.

    Fonction

    Statut : Contractuel

    Contrat : A durée indéterminée

    Nombre de postes : 2

    Localisation : Bruxelles

    Niveau d’études : Ingénieur / Master (enseignement supérieur de type long)

    Société : Agence du stationnement de la Région Bruxelles-Capitale

    Vous intégrez parking.brussels en tant que Data Analyst / Scientist, dans l’optique d’y collaborer à la maîtrise et la gouvernance des données, et d’accompagner l’évolution digitale de l’entreprise, au sein d’un nouveau département dédié au management de la data. Au-delà de vos activités propres, vous aurez ainsi l’opportunité d’accompagner l’Agence dans sa transition digitale.

    Responsabilites & Tâches (liste Non Exhaustives)

    Sous la responsabilité du Data Manager, et en collaboration avec les services de support (IT et Technologie) et les départements métier (On-street, Off-street, Finances …) :

    • Vous appréhendez les différents aspects relatifs aux données générées ou produites par l’entreprise (localisation, accès, formats, structures et contenus) ;
    • Vous êtes chargé de l’analyse de ces données, dont vous procédez au traitement (extraction, intégration, tests, contrôles qualité, consolidation, enrichissement ...) et à la restitution statistique (tableaux, graphiques, rapports dynamiques, cartographies) destinée à en faciliter la compréhension et l’utilisation ;
    • Au-delà de ces aspects d’analyse, vous exploitez toutes données disponibles sous la forme d’indicateurs pertinents eu égard aux besoins et impératifs de parking.brussels en matière de gouvernance, politique interne / externe, reporting, études et suivi opérationnel / contractuel ;
    • Vous participez dans ce cadre à la mise en place des processus et outils permettant l’importation / centralisation des données (au sein d’une solution de type Data Warehouse) ainsi que leur restitution dynamique (dashboard), en vue de systématiser et automatiser tant leur exploitation que leur visualisation et diffusion ;
    • Vous vous tenez informé des évolutions techniques relatives à ces processus et outils, et êtes en mesure de formuler des propositions à cet égard ;
    • Sur base de vos activités et travaux, vous faites des recommandations quant à l’amélioration des processus opérationnels et des positionnements stratégiques de l’entreprise ;
    • Vous documentez rigoureusement l’ensemble des étapes et procédures impliquées dans vos travaux ;
    • Vous prenez en charge les procédures de marchés publics associées à vos domaines d'intervention et votre champ d'expertise.

    Profil

    FORMATION

    Vous êtes titulaire d’un Master (en data science, sciences exactes, statistique ou informatique).

    COMPÉTENCES TECHNIQUES

    • Vous disposez d’une expertise, idéalement via une expérience professionnelle pertinente, dans l’intégration, le traitement et l’analyse de sources de données corrélées, multiples et hétérogènes (y compris de séries temporelles et de données géospatiales) ;
    • Vous avez une bonne maîtrise des méthodes et principes d’analyses statistiques, et disposez d’une connaissance des outils de reporting BI ;
    • Vous disposez du bagage informatique et technique suffisant pour la bonne exécution des tâches incombant à la fonction, et démontrez d’une expérience pratique associée à ce bagage (une expérience préalable avec le langage Python, et ses librairies d’analyse et de visualisation est recommandée) ;
    • De la manière générale, vous êtes conscient de la diversité des domaines de la Data Science et du Big Data, ainsi que des implications associées au développement d’un projet tel que le MaaS ;
    • Vous avez une connaissance du GIS, idéalement d’un logiciel en accès libre, ou êtes prêt à vous former en la matière ;
    • Vous justifiez d’une approche scientifique et rigoureuse de votre travail, ainsi que de facultés analytiques ;
    • Vous disposez de qualités rédactionnelles ;
    • Une expertise dans le domaine du stationnement ou de la mobilité, en particulier acquise en Région de Bruxelles-Capitale, ou un certificat de conseiller en mobilité (type CEMA) sont des atouts ;
    • Vous avez une bonne connaissance de la Région de Bruxelles-Capitale, en ce compris de son contexte institutionnel, et des politiques qui y sont menées en matière de stationnement et de mobilité ;
    • Vous êtes capable de rédiger un cahier des charges et de mener une procédure de marché public ;
    • Vous avez au minimum une connaissance passive de l’autre langue nationale (Fr ou NL), ainsi que de l’anglais.

    COMPÉTENCES COMPORTEMENTALES

    • Être organisé.e et planifier son travail en vue de la concrétisation des objectifs fixés ;
    • Savoir travailler en autonomie et prendre des initiatives tout en cultivant l’esprit d’équipe et de collaboration ;
    • Disposer d’aptitudes analytiques et de logique, ainsi que d’une approche scientifique et d’un sens critique ;
    • Intégrer, traiter et synthétiser l’information ;
    • Faire preuve de pédagogie, conseiller, soutenir et savoir argumenter ;
    • Être à l’écoute et savoir s’adapter ;
    • S’auto-développer.

    Offre

    Vous serez engagé en qualité d’Attaché (A101) avec le barème de traitement correspondant.

    AVANTAGES

    • Une fonction stratégique dans une jeune institution publique, en pleine évolution, qui valorise votre implication ;
    • Un équilibre harmonieux entre travail et vie privée grâce à un horaire flexible dans la prestation des 38h hebdomadaires et aux possibilités de télétravail ;
    • Chèques-repas d'une valeur de 8 euros par jour de prestation ;
    • Un capital congé attrayant (35 jours et fermeture de fin d’année) ;
    • Gratuité des transports en commun pour le trajet domicile-travail sur Bruxelles et en dehors de Bruxelles ;
    • Assurance hospitalisation pour vous et les membres de votre ménage (conjoint et enfants);
    • Une indemnité pour le télétravail de 50 euros net par mois ;
    • Prime de fin d’année ;
    • Primes pour divers évènements (mariage, naissance, Saint-Nicolas, etc.) ;
    • Chèques-cadeau (Noël et anniversaires) ;
    • Possibilité de recevoir une prime pour les déplacements en vélo ;
    • Possibilité de bénéficier d’une prime de bilinguisme ;
    • Nombreuses possibilités de formations (à suivre durant les heures de travail) ;
    • PC et GSM de société avec abonnement téléphonique ;

    LA PROCÉDURE DE SÉLECTION

    Vous êtes convaincu.e d'avoir le profil adéquat pour cette fonction ? Téléchargez votre CV et votre lettre de motivation en cliquant sur « postuler maintenant ». Vous recevrez ensuite un e-mail de confirmation de votre candidature.

    Les candidat.e.s retenu.e.s seront invité.e.s à participer à la procédure de sélection au sein de l’Agence du stationnement de la Région Bruxelles-Capitale.

    En tant que personne présentant un handicap, un trouble ou une maladie, vous pouvez demander des aménagements raisonnables de la procédure de sélection. Vous devez mentionner ceci au moment de l’envoi de votre C.V.

    Date limite pour le dépôt de la candidature : 01/09/2024 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3992444089,https://be.linkedin.com/jobs/view/ai-ml-systems-engineer-at-european-dynamics-3992444089?position=60&pageNum=0&refId=56TzHYBYMFoX4qFSzV%2BFFg%3D%3D&trackingId=zKy1zh5swUm%2F6AHhgrUx6Q%3D%3D&trk=public_jobs_jserp-result_search-card,AI/ML Systems Engineer,EUROPEAN DYNAMICS,"Brussels, Brussels Region, Belgium","We currently have a vacancy for an AI/ML Systems Engineer fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either on the company's premises or on site at the customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client's IT team on site.  + +Your tasks: + +Collect business requirement and analyse advanced AI solutions or identify and assess relevant existing data mining, machine learning and business intelligence solution;  +Participate in the design of the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts;  +Specification and design of presentation interfaces with optimal usability/user experience;  +Produce data models, define data controls and implement actions to ensure data quality and integrity;  +Contribute to the design and implementation of the analytics architecture and its solution stack;  +Create automated anomaly detection systems and constant tracking of its performance;  +Analysis of business requirements, business model and risk;  +Business process analysis and modelling, as well as functional requirements.   + + + +Requirements + + +University degree in IT or relevant discipline, combined with minimum 15 years of relevant working experience in IT;  +Strong experience in machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks;  +Strong experience in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection in datasets, recommendation systems;  +Strong experience in Large Language Models and Graph Databases;  +Expertise in the ETL processes and tools (SAS, Talend Open Studio) ;  +Experience with alignment models and classification methods;  +Experience with data analytics over big datasets, non-structured databases as well as data lakes ;  +Experience with languages like R, Python, PERL and NLP techniques;  +Good knowledge of BPMN, UML or other equivalent values and Wiki or other collaborative sites;  +Good knowledge of analysis/modelling tools and techniques (use case diagram, state diagram, entity relationship model, interaction diagrams);  +Good knowledge of business intelligence tools (Tableau, Qlik, SAS, SAP, GoodData) and SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL);  +Knowledge of software development methodologies (RUP, Agile) and architectural design and implementation of scalable modern data stores;  +Excellent command of the English language.  + + + +Benefits + + + +If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English, quoting reference (90862/08/2024). + +We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. + +You may also consider all our other open vacancies by visiting the career section of our web site (www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. + +EUROPEAN DYNAMICS (www.eurodyn.com) is a leading European Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies and national government Administrations in 40 countries and 4 continents. + +As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, age, national origin, ethnicity, gender, disability, sexual orientation, gender identity or religion. + +EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy. + +Show more ","
    + + + + + +
    +
    +

    We currently have a vacancy for an AI/ML Systems Engineer fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either on the company's premises or on site at the customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client's IT team on site. 

    Your tasks:

    • Collect business requirement and analyse advanced AI solutions or identify and assess relevant existing data mining, machine learning and business intelligence solution; 
    • Participate in the design of the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts; 
    • Specification and design of presentation interfaces with optimal usability/user experience; 
    • Produce data models, define data controls and implement actions to ensure data quality and integrity; 
    • Contribute to the design and implementation of the analytics architecture and its solution stack; 
    • Create automated anomaly detection systems and constant tracking of its performance; 
    • Analysis of business requirements, business model and risk; 
    • Business process analysis and modelling, as well as functional requirements.  


    Requirements

    • University degree in IT or relevant discipline, combined with minimum 15 years of relevant working experience in IT; 
    • Strong experience in machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks; 
    • Strong experience in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection in datasets, recommendation systems; 
    • Strong experience in Large Language Models and Graph Databases; 
    • Expertise in the ETL processes and tools (SAS, Talend Open Studio) ; 
    • Experience with alignment models and classification methods; 
    • Experience with data analytics over big datasets, non-structured databases as well as data lakes ; 
    • Experience with languages like R, Python, PERL and NLP techniques; 
    • Good knowledge of BPMN, UML or other equivalent values and Wiki or other collaborative sites; 
    • Good knowledge of analysis/modelling tools and techniques (use case diagram, state diagram, entity relationship model, interaction diagrams); 
    • Good knowledge of business intelligence tools (Tableau, Qlik, SAS, SAP, GoodData) and SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL); 
    • Knowledge of software development methodologies (RUP, Agile) and architectural design and implementation of scalable modern data stores; 
    • Excellent command of the English language. 


    Benefits

    If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English, quoting reference (90862/08/2024).

    We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.

    You may also consider all our other open vacancies by visiting the career section of our web site (www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.

    EUROPEAN DYNAMICS (www.eurodyn.com) is a leading European Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies and national government Administrations in 40 countries and 4 continents.

    As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, age, national origin, ethnicity, gender, disability, sexual orientation, gender identity or religion.

    EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +4007541924,https://be.linkedin.com/jobs/view/python-developer-at-bimona-4007541924?position=1&pageNum=2&refId=Q0muU0NaKOVAQURXbdO7kA%3D%3D&trackingId=QGOe%2BCFDsN14pou8QzV7ew%3D%3D&trk=public_jobs_jserp-result_search-card,Python Developer,BIMONA,"Brussels, Brussels Region, Belgium","A prominent organization at the forefront of a critical industry in Europe, contributing to the transition towards a sustainable future. This company is essential in ensuring the reliability and sustainability of key infrastructure across multiple regions. As Python Developer you will join a team of professionals dedicated to developing systems that support economic growth and reduce environmental impact. + + + + +Job Description + + + + +As a Python Developer, you will contribute to the development of a framework for building Python applications. + + + + +Your key responsibilities include: + +Enhancing features and packages within the framework +Testing the framework on various IT platforms +Collaborating with a cross-functional team to establish general standards +Developing features such as security, messaging, and database communication +Utilizing development tools like Git and Azure DevOps +Setting up and expanding automated code tests +Documenting and reporting on your work + + + + +Profile + + + + +t 5+ years of experience in Python development +Strong knowledge of Python with a focus on FastAPI +Good command of the English language +Solid understanding of software design patterns, continuous integration, and security +Ability to quickly adapt to existing codebases +Proactive and collaborative approach with a “getting things done” mentality +Capable of structuring and executing tasks independently + + + + +Offer + + + + +An exciting project with a leading organization in a critical industry +The opportunity to contribute to innovative technologies driving sustainability +A strong emphasis on well-being within a positive work culture +Collaboration in a diverse and inclusive team of passionate professionals +A flexible working environment with a balance of office and remote work + + + + +You will be part of a forward-thinking team that values innovation and collaboration. + + + + +Interested? + +Send us your resume at anne@bimona.be + +Show more ","
    + + + + + +
    +
    +

    A prominent organization at the forefront of a critical industry in Europe, contributing to the transition towards a sustainable future. This company is essential in ensuring the reliability and sustainability of key infrastructure across multiple regions. As Python Developer you will join a team of professionals dedicated to developing systems that support economic growth and reduce environmental impact.


    Job Description


    As a Python Developer, you will contribute to the development of a framework for building Python applications.


    Your key responsibilities include:

    • Enhancing features and packages within the framework
    • Testing the framework on various IT platforms
    • Collaborating with a cross-functional team to establish general standards
    • Developing features such as security, messaging, and database communication
    • Utilizing development tools like Git and Azure DevOps
    • Setting up and expanding automated code tests
    • Documenting and reporting on your work


    Profile


    • t 5+ years of experience in Python development
    • Strong knowledge of Python with a focus on FastAPI
    • Good command of the English language
    • Solid understanding of software design patterns, continuous integration, and security
    • Ability to quickly adapt to existing codebases
    • Proactive and collaborative approach with a “getting things done” mentality
    • Capable of structuring and executing tasks independently


    Offer


    • An exciting project with a leading organization in a critical industry
    • The opportunity to contribute to innovative technologies driving sustainability
    • A strong emphasis on well-being within a positive work culture
    • Collaboration in a diverse and inclusive team of passionate professionals
    • A flexible working environment with a balance of office and remote work


    You will be part of a forward-thinking team that values innovation and collaboration.


    Interested?

    Send us your resume at anne@bimona.be

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3998247714,https://be.linkedin.com/jobs/view/research-engineer-artificial-intelligence-at-hashlist-3998247714?position=2&pageNum=2&refId=Q0muU0NaKOVAQURXbdO7kA%3D%3D&trackingId=ham2KJ%2Fe3Rle23CWGT0Dmg%3D%3D&trk=public_jobs_jserp-result_search-card,Research Engineer (Artificial Intelligence),Hashlist,"Brussels, Brussels Region, Belgium","Hashlist is a platform for positions & projects within the automotive industry. + + + + +We establish supplier relationships with automotive companies and provide a one-stop shop for candidates interested in working in the industry. + + + + +Are you ready to be a part of that journey? + + + + +We are now looking for a Research Engineer (AI) in Brussels, Belgium. + + + + + + + +Responsibilities + +• Conduct research and development in artificial intelligence (AI) and machine learning (ML) to create innovative solutions for automotive applications + +• Develop and implement AI algorithms for applications such as autonomous driving, driver assistance systems, and predictive maintenance + +• Collaborate with cross-functional teams to integrate AI technologies into automotive systems and platforms + +• Analyze large datasets to train, validate, and optimize AI models, ensuring high performance and reliability + +• Stay current with advancements in AI/ML technologies, tools, and industry trends to drive innovation within the organization + +• Publish research findings and present at conferences, contributing to the company’s thought leadership in AI and automotive technology + +• Design and conduct experiments to validate AI models and algorithms in real-world automotive scenarios + +• Work closely with hardware and software teams to ensure seamless integration of AI systems with vehicle electronics and control systems + +• Ensure compliance with industry standards, safety regulations, and ethical guidelines in AI development and deployment + +• Mentor and provide guidance to junior researchers and engineers on AI/ML techniques and best practices + + + + + + + +Qualifications + +• University degree in Computer Science, Electrical Engineering, Data Science, or a related field; a Ph.D. is a plus + +• Proven experience as a Research Engineer or Data Scientist, preferably in the automotive industry or related fields + +• Strong proficiency in AI/ML frameworks and programming languages (e.g., TensorFlow, PyTorch, Python, C++) + +• Excellent problem-solving and analytical skills, with experience in data analysis and model development + +• Understanding of automotive systems, autonomous driving technologies, and sensor fusion + +• Ability to work effectively in a collaborative, interdisciplinary research environment + +• Strong communication and presentation skills, with experience in publishing research or presenting at conferences + +• Knowledge of industry standards and regulations related to AI and automotive safety + +• Familiarity with big data technologies and cloud computing platforms is a plus + +• Ability to manage multiple research projects and adapt to changing priorities and deadlines + + + + + + + +Next steps: + +Press ""Apply"" +We will review your application +If qualified, you will be accepted into the network, and can be considered for this and similar positions & projects +Show more ","
    + + + + + +
    +
    +

    Hashlist is a platform for positions & projects within the automotive industry.


    We establish supplier relationships with automotive companies and provide a one-stop shop for candidates interested in working in the industry.


    Are you ready to be a part of that journey?


    We are now looking for a Research Engineer (AI) in Brussels, Belgium.



    Responsibilities

    • Conduct research and development in artificial intelligence (AI) and machine learning (ML) to create innovative solutions for automotive applications

    • Develop and implement AI algorithms for applications such as autonomous driving, driver assistance systems, and predictive maintenance

    • Collaborate with cross-functional teams to integrate AI technologies into automotive systems and platforms

    • Analyze large datasets to train, validate, and optimize AI models, ensuring high performance and reliability

    • Stay current with advancements in AI/ML technologies, tools, and industry trends to drive innovation within the organization

    • Publish research findings and present at conferences, contributing to the company’s thought leadership in AI and automotive technology

    • Design and conduct experiments to validate AI models and algorithms in real-world automotive scenarios

    • Work closely with hardware and software teams to ensure seamless integration of AI systems with vehicle electronics and control systems

    • Ensure compliance with industry standards, safety regulations, and ethical guidelines in AI development and deployment

    • Mentor and provide guidance to junior researchers and engineers on AI/ML techniques and best practices



    Qualifications

    • University degree in Computer Science, Electrical Engineering, Data Science, or a related field; a Ph.D. is a plus

    • Proven experience as a Research Engineer or Data Scientist, preferably in the automotive industry or related fields

    • Strong proficiency in AI/ML frameworks and programming languages (e.g., TensorFlow, PyTorch, Python, C++)

    • Excellent problem-solving and analytical skills, with experience in data analysis and model development

    • Understanding of automotive systems, autonomous driving technologies, and sensor fusion

    • Ability to work effectively in a collaborative, interdisciplinary research environment

    • Strong communication and presentation skills, with experience in publishing research or presenting at conferences

    • Knowledge of industry standards and regulations related to AI and automotive safety

    • Familiarity with big data technologies and cloud computing platforms is a plus

    • Ability to manage multiple research projects and adapt to changing priorities and deadlines



    Next steps:

    • Press ""Apply""
    • We will review your application
    • If qualified, you will be accepted into the network, and can be considered for this and similar positions & projects
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +4004530538,https://be.linkedin.com/jobs/view/python-software-engineer-at-cream-consulting-4004530538?position=5&pageNum=2&refId=Q0muU0NaKOVAQURXbdO7kA%3D%3D&trackingId=UuoT785PmmFFwl4fohAp6Q%3D%3D&trk=public_jobs_jserp-result_search-card,Python Software Engineer,Cream Consulting,"Brussels, Brussels Region, Belgium","Permanent position only + +WHAT CREAM IS ALL ABOUT? + +We could be a Cream Factory, a cooking blog or even a detective agency…but in reality, we are a consulting company in Business & Technology active in large organizations and industry leaders in Banking, Insurance, Telecom, Energy, Pharmaceutical & Transport. + + + + +CREAM’S SPECIAL RECIPE: + +1/3 of Personal development +1/3 of Collective Intelligence +1/3 of Intrapreneurship + + + + +And Bonus ingredient: … Some passionate colleagues + + + + +WHAT IS A PYTHON SOFTWARE ENGINEER AT CREAM? + +As a Python Software Engineer, embrace your role and work with multidisciplinary teams on challenging projects as: + +Reporting tools (finance…) +Web applications +Power calculation +Cloud migrations… + + + + +YOUR TASKS : + +You define technical specifications +You develop and test new innovative tools +You maintain and support Python libraries with other developers +You coach users through ad-hoc training sessions and code reviews +You provide technological watch to keep up to date on state-of-the-art technologies + + + + +HOW DO WE IMAGINE OUR FUTURE CONSULTANT? + +You love designing, developing, testing and maintaining applications +You hold a Master’s Degree (civil engineer, software engineering…) +You are used to work with Python (Pandas, Numpy…) and C# +You are fluent in French and English; a good knowledge of Dutch is an asset + +Bonus : + +You have knowledge of technologies among Angular, Kubernetes, Dockers, Azure, Git… +You have IT Infrastructure knowledge + +WHY SHOULD YOU TASTE THE LIME FLAVOUR? + + + + +A broad diversity of career options: you’re not stuck in a box +You evolve in a learning environment where you can challenge your knowledge with your colleagues +You grow in a company that is at the leading edge of technology +You have the opportunity to bring new ideas to develop a thriving company +We have values we share, live with, experiment every day + + + + +We just hire great people and give them the playing field to become awesome! + +Show more ","
    + + + + + +
    +
    +

    Permanent position only

    WHAT CREAM IS ALL ABOUT?

    We could be a Cream Factory, a cooking blog or even a detective agency…but in reality, we are a consulting company in Business & Technology active in large organizations and industry leaders in Banking, Insurance, Telecom, Energy, Pharmaceutical & Transport.


    CREAM’S SPECIAL RECIPE:

    • 1/3 of Personal development
    • 1/3 of Collective Intelligence
    • 1/3 of Intrapreneurship


    And Bonus ingredient: … Some passionate colleagues


    WHAT IS A PYTHON SOFTWARE ENGINEER AT CREAM?

    As a Python Software Engineer, embrace your role and work with multidisciplinary teams on challenging projects as:

    • Reporting tools (finance…)
    • Web applications
    • Power calculation
    • Cloud migrations…


    YOUR TASKS :

    • You define technical specifications
    • You develop and test new innovative tools
    • You maintain and support Python libraries with other developers
    • You coach users through ad-hoc training sessions and code reviews
    • You provide technological watch to keep up to date on state-of-the-art technologies


    HOW DO WE IMAGINE OUR FUTURE CONSULTANT?

    • You love designing, developing, testing and maintaining applications
    • You hold a Master’s Degree (civil engineer, software engineering…)
    • You are used to work with Python (Pandas, Numpy…) and C#
    • You are fluent in French and English; a good knowledge of Dutch is an asset

    Bonus :

    • You have knowledge of technologies among Angular, Kubernetes, Dockers, Azure, Git…
    • You have IT Infrastructure knowledge

    WHY SHOULD YOU TASTE THE LIME FLAVOUR?


    • A broad diversity of career options: you’re not stuck in a box
    • You evolve in a learning environment where you can challenge your knowledge with your colleagues
    • You grow in a company that is at the leading edge of technology
    • You have the opportunity to bring new ideas to develop a thriving company
    • We have values we share, live with, experiment every day


    We just hire great people and give them the playing field to become awesome!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3988544627,https://be.linkedin.com/jobs/view/ai-data-analytics-engineer-at-netcompany-intrasoft-3988544627?position=6&pageNum=2&refId=Q0muU0NaKOVAQURXbdO7kA%3D%3D&trackingId=OK84Xj%2B%2BkIMZO6gXOqNJiw%3D%3D&trk=public_jobs_jserp-result_search-card,AI & Data Analytics Engineer,Netcompany-Intrasoft,"Brussels, Brussels Region, Belgium","Company Description + +We are Netcompany-Intrasoft, a member of Netcompany Group A/S, and a leading European IT Solutions and Services company with strong international presence and expertise, dedicated to responsible digitalisation. We offer innovative and added-value solutions of the highest quality to a wide range of public and private organizations, while being a key-player in the EU Institutions for the past 30 years. We hold an outstanding record of 500+ organizations in 70+ countries, that have chosen our solutions and services, to fulfil their business needs. Our team of 3500+ professionals is our driving force and our most valuable asset. + +For more information regarding our company, as current projects, job openings around Europe and life at Netcompany-Intrasoft, please visit our website: www.netcompany.com. + +Job Description + +Are you ready to discover the role of a AI & Data Analytics Engineer in Netcompany-Intrasoft? + +Joining us as a AI & Data Analytics Engineer, you will have the opportunity to be a part of our highly skilled agile consultants teams working within large-scale transformation projects, that impact the life of millions of EU citizens. + +As a AI & Data Analytics Engineer You Will + + +Gathering and analysis of the business requirements. +SWOT Analysis and return of investment definition. +Technical analysis and specifications of AI and DA solutions. +Exploratory data analysis to identify, analyse, and interpret patterns and trends in complex data sets for diagnosis and prediction. +Design, modelling, development, management and review of end-to-end DA and AI products, prototypes and proof of concept based on on-prem and cloud data platforms. Including: data preparation and collection, feature engineering, model selection and training, visualisation, deployment, monitoring and maintenance. +Set-up of MLOps including automatic testing and quality assurance. +Definition and drafting of training and support procedures. +Maintenance of DA and AI products, including troubleshooting, bug fixing, performance analysis, technical migrations, … +Architecture, design, deployment, and management of Data Platforms building blocks would be an asset. +Integration and reusability of COTS, SaaS, PaaS and SaaS. +Conception and implementation of data protection measures, data security measures and disclosure control. +Definition of test strategies, design, and testing. +Definition of best practices and standards. +Technology watch, technology evaluation and contribution to platform definition and strategy documents. + + +Qualifications + +What would make you a fit for the role: + + +A Master's degree and 8+ years of experience +Ability to effectively communicate with business stakeholders and explain complex technical elements in a simple way. +Excellent analytical thinking, by using logic and reasoning to identify patterns and gaps while analysing and exploring data. +In depth knowledge of Statistical analysis and data-driven decision-making. +Extensive experience of Data Science and AI techniques, especially in prediction, machine learning and Generative AI. +In depth knowledge of programming languages for data analytics and artificial intelligence (eg: python, R, …) and frameworks (eg: .Net AI and SpringAI) +Experience in machine learning algorithms (eg: ANN, random forest, …) and deep learning frameworks +Experience developing with reusable AI models (eg: huggingface), Generative AI APIs (eg: openai), +Extensive experience in industrialization of DA and AI solutions +In depth knowledge of MLOps tools, testing and quality assurance. +Knowledge of visualisation tools (eg: PowerBI) +Knowledge of SQL (eg: Oracle, SQL Server,…) +Knowledge of orchestration (eg: Airflow) and ETL tools (eg: DBT, SSIS, …) +Knowledge of No-SQL database (eg: MongoDB, Neo4j, …) +Knowledge of search engines (eg: ElasticSearch, SOLR, …) +Experience in setting up a Centre of Competence to provide advice, support and training for Data Analytics and AI related activities. +Validation of technological orientations. +Validation of business cases and/or maturity assessment studies. +Knowledge of data modelling for data lakes and data warehouses. +Technical guidance including solution finding for highly complicated issues. +Experience in real time reporting would be an asset. +Experience in linked open data and semantic technologies, ontologies, metadata standards, reference databases, multilingual thesauri and taxonomies would be an asset. +Experience in cloud environments and containerisation + + +Additional Information + +Being a part of the Netcompany-Ιntrasoft team, you will be provided with: + + +The opportunity to work in a modern environment. +A competitive compensation & benefits package. +Hospitalization plan. +Hybrid working model. +Meal and commuting allowance. +Well-being activities (on premises). +Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings). +A personalized development plan for targeted career growth. + + +If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be! + + +Please submit your CV in English + + +All applications will be treated as strictly confidential. + +Our culture + +Our people are the most important element of our success. Our work life is well defined by our set of fundamental Values: https://bit.ly/3SSbBzU + +#BePartOfSomethingGreat! + + +Please submit your CV in English + + +All applications will be treated as strictly confidential. + +Should you be invited for an interview and be considered suitable candidates for the EU project at the first stage, we inform you that your CV may be forwarded to the relevant European Organization or third companies - consortium members participating in the specific EU project together with NETCOMPANY INTRASOFT for evaluation. + +We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany-Intrasoft culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our our everyday working experience. + + +Show more ","
    + + + + + +
    +
    + Company Description

    We are Netcompany-Intrasoft, a member of Netcompany Group A/S, and a leading European IT Solutions and Services company with strong international presence and expertise, dedicated to responsible digitalisation. We offer innovative and added-value solutions of the highest quality to a wide range of public and private organizations, while being a key-player in the EU Institutions for the past 30 years. We hold an outstanding record of 500+ organizations in 70+ countries, that have chosen our solutions and services, to fulfil their business needs. Our team of 3500+ professionals is our driving force and our most valuable asset.

    For more information regarding our company, as current projects, job openings around Europe and life at Netcompany-Intrasoft, please visit our website: www.netcompany.com.

    Job Description

    Are you ready to discover the role of a AI & Data Analytics Engineer in Netcompany-Intrasoft?

    Joining us as a AI & Data Analytics Engineer, you will have the opportunity to be a part of our highly skilled agile consultants teams working within large-scale transformation projects, that impact the life of millions of EU citizens.

    As a AI & Data Analytics Engineer You Will

    • Gathering and analysis of the business requirements.
    • SWOT Analysis and return of investment definition.
    • Technical analysis and specifications of AI and DA solutions.
    • Exploratory data analysis to identify, analyse, and interpret patterns and trends in complex data sets for diagnosis and prediction.
    • Design, modelling, development, management and review of end-to-end DA and AI products, prototypes and proof of concept based on on-prem and cloud data platforms. Including: data preparation and collection, feature engineering, model selection and training, visualisation, deployment, monitoring and maintenance.
    • Set-up of MLOps including automatic testing and quality assurance.
    • Definition and drafting of training and support procedures.
    • Maintenance of DA and AI products, including troubleshooting, bug fixing, performance analysis, technical migrations, …
    • Architecture, design, deployment, and management of Data Platforms building blocks would be an asset.
    • Integration and reusability of COTS, SaaS, PaaS and SaaS.
    • Conception and implementation of data protection measures, data security measures and disclosure control.
    • Definition of test strategies, design, and testing.
    • Definition of best practices and standards.
    • Technology watch, technology evaluation and contribution to platform definition and strategy documents.

    Qualifications

    What would make you a fit for the role:

    • A Master's degree and 8+ years of experience
    • Ability to effectively communicate with business stakeholders and explain complex technical elements in a simple way.
    • Excellent analytical thinking, by using logic and reasoning to identify patterns and gaps while analysing and exploring data.
    • In depth knowledge of Statistical analysis and data-driven decision-making.
    • Extensive experience of Data Science and AI techniques, especially in prediction, machine learning and Generative AI.
    • In depth knowledge of programming languages for data analytics and artificial intelligence (eg: python, R, …) and frameworks (eg: .Net AI and SpringAI)
    • Experience in machine learning algorithms (eg: ANN, random forest, …) and deep learning frameworks
    • Experience developing with reusable AI models (eg: huggingface), Generative AI APIs (eg: openai),
    • Extensive experience in industrialization of DA and AI solutions
    • In depth knowledge of MLOps tools, testing and quality assurance.
    • Knowledge of visualisation tools (eg: PowerBI)
    • Knowledge of SQL (eg: Oracle, SQL Server,…)
    • Knowledge of orchestration (eg: Airflow) and ETL tools (eg: DBT, SSIS, …)
    • Knowledge of No-SQL database (eg: MongoDB, Neo4j, …)
    • Knowledge of search engines (eg: ElasticSearch, SOLR, …)
    • Experience in setting up a Centre of Competence to provide advice, support and training for Data Analytics and AI related activities.
    • Validation of technological orientations.
    • Validation of business cases and/or maturity assessment studies.
    • Knowledge of data modelling for data lakes and data warehouses.
    • Technical guidance including solution finding for highly complicated issues.
    • Experience in real time reporting would be an asset.
    • Experience in linked open data and semantic technologies, ontologies, metadata standards, reference databases, multilingual thesauri and taxonomies would be an asset.
    • Experience in cloud environments and containerisation

    Additional Information

    Being a part of the Netcompany-Ιntrasoft team, you will be provided with:

    • The opportunity to work in a modern environment.
    • A competitive compensation & benefits package.
    • Hospitalization plan.
    • Hybrid working model.
    • Meal and commuting allowance.
    • Well-being activities (on premises).
    • Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings).
    • A personalized development plan for targeted career growth.

    If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!

    • Please submit your CV in English

    All applications will be treated as strictly confidential.

    Our culture

    Our people are the most important element of our success. Our work life is well defined by our set of fundamental Values: https://bit.ly/3SSbBzU

    #BePartOfSomethingGreat!

    • Please submit your CV in English

    All applications will be treated as strictly confidential.

    Should you be invited for an interview and be considered suitable candidates for the EU project at the first stage, we inform you that your CV may be forwarded to the relevant European Organization or third companies - consortium members participating in the specific EU project together with NETCOMPANY INTRASOFT for evaluation.

    We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany-Intrasoft culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our our everyday working experience.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4006127263,https://be.linkedin.com/jobs/view/artificial-intelligence-engineer-2-hour-learning-remote-%24100-000-year-usd-at-crossover-4006127263?position=7&pageNum=2&refId=Q0muU0NaKOVAQURXbdO7kA%3D%3D&trackingId=J%2BmGfEb%2BaSiLUh%2BG5PsCYw%3D%3D&trk=public_jobs_jserp-result_search-card,"Artificial Intelligence Engineer, 2 Hour Learning (Remote) - $100,000/year USD",Crossover,"Brussels, Brussels Region, Belgium","Crossover is the world's #1 source of full-time remote jobs. Our clients offer top-tier pay for top-tier talent. We're recruiting this role for our client, 2 Hour Learning. Have you got what it takes? + +Are you a skilled full-stack developer with a passion for AI and a drive to transform K-12 education? At 2 Hour Learning, we're leading a revolution in digital learning backed by data and innovation. + +At 2 Hour Learning, we don't just aim to improve education—we're redefining it. Our cutting-edge learning ecosystem, powered by advanced AI, learning science, and psychometrics, is twice as effective as traditional schooling. Students at every level, from kindergarten to high school, are achieving remarkable academic milestones, far surpassing standard expectations. + +Your Role in the Revolution: + +In this role, you’ll be at the forefront of our AI-powered educational transformation. With full autonomy and creative freedom, you’ll envision, develop, and deploy sophisticated full-stack applications and interactive AI tools that not only engage students but also enhance learning efficiency in unprecedented ways. + +This is not a position for those who prefer to specialize in a single aspect of development. We're looking for innovative thinkers who can seamlessly integrate AI across both front-end and back-end systems, taking ownership of the entire product. Your work will directly impact thousands of students, ensuring that our tools meet their needs and set new standards for educational technology. + +Who We're Looking For: + +We need bold innovators who thrive on leveraging the latest in generative AI to create real-world educational impact. If you’re excited about pushing the boundaries of what’s possible in AI-driven education and are ready to bring your expertise in full-stack development and AI, this is your chance to make a difference. + +For more information on 2 Hour Learning, visit our website [https://2hourlearning.com/] and the Future of Education Instagram page [https://www.instagram.com/futureof_education/]. To see a school built around 2 Hour Learning, check out Alpha [https://alpha.school/]. + +What You Will Be Doing + + +Develop AI-Powered Web Applications: Architect and code sophisticated web applications that integrate both front-end and back-end components, with a focus on enhancing user experience through AI. +Experiment and Innovate with AI: Work with cutting-edge AI technologies, specifically large language models (LLMs) like GPT-4 or Claude, to create autonomous tools and interactive features that redefine how students learn. +Drive Technical Projects: Take ownership of the entire development process, from gathering requirements to launching and iterating on products. You’ll work closely with stakeholders to ensure that our solutions meet learner needs and push the boundaries of what’s possible. +Collaborate and Communicate: Partner with a global team of developers, designers, and educational experts. Your ability to communicate complex ideas simply and effectively will be key to your success. +Continuous Improvement: Stay ahead of the curve by continually learning and applying the latest advancements in AI and web development to our platform. + + +What You Won’t Be Doing + + +Narrow AI Development: You won’t be working on isolated AI features that don’t integrate with the overall product strategy. Your work will have a direct impact on thousands of students. +Surface-Level Coding: This is not a role for those who focus only on either front-end or back-end development. You will be expected to integrate both, creating comprehensive and scalable solutions. +Routine Maintenance: This role is not about maintaining legacy systems or making minor updates. You will be driving innovation and building new, cutting-edge applications. +Waiting for Detailed Specifications: You won't be handed fully fleshed-out requirements. Instead, you will take high-level ideas and translate them into fully developed products, leveraging your expertise in AI and full-stack development. +Working in Isolation: You won't be coding in a vacuum. Collaboration with other developers, product managers, and educational experts is key to ensuring that the solutions you build are impactful and user-centered. + + +Artificial Intelligence Engineer Key Responsibilities + +Develop and deliver engaging, human-centered AI applications that demonstrably accelerate learning outcomes and efficiency for thousands of K-12 students. + +Basic Requirements + + +At least 3 years of experience in full-stack development, with proficiency in front-end frameworks such as React, Angular, Vue.js, or Svelte, and back-end technologies like Node.js, Django, Ruby on Rails, Flask, or Spring Boot. +Hands-on experience integrating large language models (LLMs) like GPT-4, Claude, or similar into web applications. +Proven ability to independently manage and execute technical projects from start to finish, including gathering requirements, development, deployment, and iteration. +Excellent verbal and written communication skills, with the ability to collaborate effectively with stakeholders, team members, and users across a global, remote team. +A demonstrated passion for staying at the forefront of technology, particularly in AI and web development, with a commitment to continuous learning and applying new advancements to your work. + + +About 2 Hour Learning + +2hr Learning is powered by AI technology that enables schools to provide personalized, mastery learning to students, enabling them to learn faster than standard school, thereby freeing up the rest of the school day to pursue their passions and interests. + +There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! + +Working with Crossover + +This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. + +What to expect next: + + +You will receive an email with a link to start your self-paced, online job application. +Our hiring platform will guide you through a series of online “screening” assessments to check for basic job fit, job-related skills, and finally a few real-world job-specific assignments. + + +Important! If you do not receive an email from us: + + +First, emails may take up to 15 minutes to send, refresh and check again. +Second, check your spam and junk folders for an email from Crossover.com, mark as “Not Spam” since you will receive other emails as well. +Third, we will send to whatever email account you indicated on the Apply form - by default, that is the email address you use as your LinkedIn username and it might be different than the one you have already checked. +If all else fails, just reset your password by visiting https://www.crossover.com/auth/password-recovery if you already applied using LinkedIn EasyApply. + + +Crossover Job Code: LJ-5361-BE-Brussels-ArtificialInte.003 + + +Show more ","
    + + + + + +
    +
    + Crossover is the world's #1 source of full-time remote jobs. Our clients offer top-tier pay for top-tier talent. We're recruiting this role for our client, 2 Hour Learning. Have you got what it takes?

    Are you a skilled full-stack developer with a passion for AI and a drive to transform K-12 education? At 2 Hour Learning, we're leading a revolution in digital learning backed by data and innovation.

    At 2 Hour Learning, we don't just aim to improve education—we're redefining it. Our cutting-edge learning ecosystem, powered by advanced AI, learning science, and psychometrics, is twice as effective as traditional schooling. Students at every level, from kindergarten to high school, are achieving remarkable academic milestones, far surpassing standard expectations.

    Your Role in the Revolution:

    In this role, you’ll be at the forefront of our AI-powered educational transformation. With full autonomy and creative freedom, you’ll envision, develop, and deploy sophisticated full-stack applications and interactive AI tools that not only engage students but also enhance learning efficiency in unprecedented ways.

    This is not a position for those who prefer to specialize in a single aspect of development. We're looking for innovative thinkers who can seamlessly integrate AI across both front-end and back-end systems, taking ownership of the entire product. Your work will directly impact thousands of students, ensuring that our tools meet their needs and set new standards for educational technology.

    Who We're Looking For:

    We need bold innovators who thrive on leveraging the latest in generative AI to create real-world educational impact. If you’re excited about pushing the boundaries of what’s possible in AI-driven education and are ready to bring your expertise in full-stack development and AI, this is your chance to make a difference.

    For more information on 2 Hour Learning, visit our website [https://2hourlearning.com/] and the Future of Education Instagram page [https://www.instagram.com/futureof_education/]. To see a school built around 2 Hour Learning, check out Alpha [https://alpha.school/].

    What You Will Be Doing

    • Develop AI-Powered Web Applications: Architect and code sophisticated web applications that integrate both front-end and back-end components, with a focus on enhancing user experience through AI.
    • Experiment and Innovate with AI: Work with cutting-edge AI technologies, specifically large language models (LLMs) like GPT-4 or Claude, to create autonomous tools and interactive features that redefine how students learn.
    • Drive Technical Projects: Take ownership of the entire development process, from gathering requirements to launching and iterating on products. You’ll work closely with stakeholders to ensure that our solutions meet learner needs and push the boundaries of what’s possible.
    • Collaborate and Communicate: Partner with a global team of developers, designers, and educational experts. Your ability to communicate complex ideas simply and effectively will be key to your success.
    • Continuous Improvement: Stay ahead of the curve by continually learning and applying the latest advancements in AI and web development to our platform.

    What You Won’t Be Doing

    • Narrow AI Development: You won’t be working on isolated AI features that don’t integrate with the overall product strategy. Your work will have a direct impact on thousands of students.
    • Surface-Level Coding: This is not a role for those who focus only on either front-end or back-end development. You will be expected to integrate both, creating comprehensive and scalable solutions.
    • Routine Maintenance: This role is not about maintaining legacy systems or making minor updates. You will be driving innovation and building new, cutting-edge applications.
    • Waiting for Detailed Specifications: You won't be handed fully fleshed-out requirements. Instead, you will take high-level ideas and translate them into fully developed products, leveraging your expertise in AI and full-stack development.
    • Working in Isolation: You won't be coding in a vacuum. Collaboration with other developers, product managers, and educational experts is key to ensuring that the solutions you build are impactful and user-centered.

    Artificial Intelligence Engineer Key Responsibilities

    Develop and deliver engaging, human-centered AI applications that demonstrably accelerate learning outcomes and efficiency for thousands of K-12 students.

    Basic Requirements

    • At least 3 years of experience in full-stack development, with proficiency in front-end frameworks such as React, Angular, Vue.js, or Svelte, and back-end technologies like Node.js, Django, Ruby on Rails, Flask, or Spring Boot.
    • Hands-on experience integrating large language models (LLMs) like GPT-4, Claude, or similar into web applications.
    • Proven ability to independently manage and execute technical projects from start to finish, including gathering requirements, development, deployment, and iteration.
    • Excellent verbal and written communication skills, with the ability to collaborate effectively with stakeholders, team members, and users across a global, remote team.
    • A demonstrated passion for staying at the forefront of technology, particularly in AI and web development, with a commitment to continuous learning and applying new advancements to your work.

    About 2 Hour Learning

    2hr Learning is powered by AI technology that enables schools to provide personalized, mastery learning to students, enabling them to learn faster than standard school, thereby freeing up the rest of the school day to pursue their passions and interests.

    There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you!

    Working with Crossover

    This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic.

    What to expect next:

    • You will receive an email with a link to start your self-paced, online job application.
    • Our hiring platform will guide you through a series of online “screening” assessments to check for basic job fit, job-related skills, and finally a few real-world job-specific assignments.

    Important! If you do not receive an email from us:

    • First, emails may take up to 15 minutes to send, refresh and check again.
    • Second, check your spam and junk folders for an email from Crossover.com, mark as “Not Spam” since you will receive other emails as well.
    • Third, we will send to whatever email account you indicated on the Apply form - by default, that is the email address you use as your LinkedIn username and it might be different than the one you have already checked.
    • If all else fails, just reset your password by visiting https://www.crossover.com/auth/password-recovery if you already applied using LinkedIn EasyApply.

    Crossover Job Code: LJ-5361-BE-Brussels-ArtificialInte.003

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3990129830,https://be.linkedin.com/jobs/view/data-analyst-scientist-m-f-x-at-parking-brussels-3990129830?position=8&pageNum=2&refId=Q0muU0NaKOVAQURXbdO7kA%3D%3D&trackingId=dIKVxwsmzQPO7oVyG9LRbg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst / Scientist (M/F/X),parking.brussels,"Brussels, Brussels Region, Belgium","Société + +parking.brussels est une jeune agence gouvernementale dynamique, en pleine croissance. Notre devise « mieux se garer pour mieux bouger », résume notre vision ambitieuse pour améliorer la mobilité. Notre objectif ? Harmoniser les règles de stationnement dans toute la Région bruxelloise, en collaboration avec les 19 communes. Dans cette perspective, et en vue d’œuvrer à une ville plus agréable et durable, nous sommes régulièrement en quête de nouveaux collaborateurs. + +Fonction + +Statut : Contractuel + +Contrat : A durée indéterminée + +Nombre de postes : 2 + +Localisation : Bruxelles + +Niveau d’études : Ingénieur / Master (enseignement supérieur de type long) + +Société : Agence du stationnement de la Région Bruxelles-Capitale + +Vous intégrez parking.brussels en tant que Data Analyst / Scientist, dans l’optique d’y collaborer à la maîtrise et la gouvernance des données, et d’accompagner l’évolution digitale de l’entreprise, au sein d’un nouveau département dédié au management de la data. Au-delà de vos activités propres, vous aurez ainsi l’opportunité d’accompagner l’Agence dans sa transition digitale. + +Responsabilites & Tâches (liste Non Exhaustives) + +Sous la responsabilité du Data Manager, et en collaboration avec les services de support (IT et Technologie) et les départements métier (On-street, Off-street, Finances …) : + + +Vous appréhendez les différents aspects relatifs aux données générées ou produites par l’entreprise (localisation, accès, formats, structures et contenus) ; +Vous êtes chargé de l’analyse de ces données, dont vous procédez au traitement (extraction, intégration, tests, contrôles qualité, consolidation, enrichissement ...) et à la restitution statistique (tableaux, graphiques, rapports dynamiques, cartographies) destinée à en faciliter la compréhension et l’utilisation ; +Au-delà de ces aspects d’analyse, vous exploitez toutes données disponibles sous la forme d’indicateurs pertinents eu égard aux besoins et impératifs de parking.brussels en matière de gouvernance, politique interne / externe, reporting, études et suivi opérationnel / contractuel ; +Vous participez dans ce cadre à la mise en place des processus et outils permettant l’importation / centralisation des données (au sein d’une solution de type Data Warehouse) ainsi que leur restitution dynamique (dashboard), en vue de systématiser et automatiser tant leur exploitation que leur visualisation et diffusion ; +Vous vous tenez informé des évolutions techniques relatives à ces processus et outils, et êtes en mesure de formuler des propositions à cet égard ; +Sur base de vos activités et travaux, vous faites des recommandations quant à l’amélioration des processus opérationnels et des positionnements stratégiques de l’entreprise ; +Vous documentez rigoureusement l’ensemble des étapes et procédures impliquées dans vos travaux ; +Vous prenez en charge les procédures de marchés publics associées à vos domaines d'intervention et votre champ d'expertise. + + +Profil + +FORMATION + +Vous êtes titulaire d’un Master (en data science, sciences exactes, statistique ou informatique). + +COMPÉTENCES TECHNIQUES + + +Vous disposez d’une expertise, idéalement via une expérience professionnelle pertinente, dans l’intégration, le traitement et l’analyse de sources de données corrélées, multiples et hétérogènes (y compris de séries temporelles et de données géospatiales) ; +Vous avez une bonne maîtrise des méthodes et principes d’analyses statistiques, et disposez d’une connaissance des outils de reporting BI ; +Vous disposez du bagage informatique et technique suffisant pour la bonne exécution des tâches incombant à la fonction, et démontrez d’une expérience pratique associée à ce bagage (une expérience préalable avec le langage Python, et ses librairies d’analyse et de visualisation est recommandée) ; +De la manière générale, vous êtes conscient de la diversité des domaines de la Data Science et du Big Data, ainsi que des implications associées au développement d’un projet tel que le MaaS ; +Vous avez une connaissance du GIS, idéalement d’un logiciel en accès libre, ou êtes prêt à vous former en la matière ; +Vous justifiez d’une approche scientifique et rigoureuse de votre travail, ainsi que de facultés analytiques ; +Vous disposez de qualités rédactionnelles ; +Une expertise dans le domaine du stationnement ou de la mobilité, en particulier acquise en Région de Bruxelles-Capitale, ou un certificat de conseiller en mobilité (type CEMA) sont des atouts ; +Vous avez une bonne connaissance de la Région de Bruxelles-Capitale, en ce compris de son contexte institutionnel, et des politiques qui y sont menées en matière de stationnement et de mobilité ; +Vous êtes capable de rédiger un cahier des charges et de mener une procédure de marché public ; +Vous avez au minimum une connaissance passive de l’autre langue nationale (Fr ou NL), ainsi que de l’anglais. + + +COMPÉTENCES COMPORTEMENTALES + + +Être organisé.e et planifier son travail en vue de la concrétisation des objectifs fixés ; +Savoir travailler en autonomie et prendre des initiatives tout en cultivant l’esprit d’équipe et de collaboration ; +Disposer d’aptitudes analytiques et de logique, ainsi que d’une approche scientifique et d’un sens critique ; +Intégrer, traiter et synthétiser l’information ; +Faire preuve de pédagogie, conseiller, soutenir et savoir argumenter ; +Être à l’écoute et savoir s’adapter ; +S’auto-développer. + + +Offre + +Vous serez engagé en qualité d’Attaché (A101) avec le barème de traitement correspondant. + +AVANTAGES + + +Une fonction stratégique dans une jeune institution publique, en pleine évolution, qui valorise votre implication ; +Un équilibre harmonieux entre travail et vie privée grâce à un horaire flexible dans la prestation des 38h hebdomadaires et aux possibilités de télétravail ; +Chèques-repas d'une valeur de 8 euros par jour de prestation ; +Un capital congé attrayant (35 jours et fermeture de fin d’année) ; +Gratuité des transports en commun pour le trajet domicile-travail sur Bruxelles et en dehors de Bruxelles ; +Assurance hospitalisation pour vous et les membres de votre ménage (conjoint et enfants); +Une indemnité pour le télétravail de 50 euros net par mois ; +Prime de fin d’année ; +Primes pour divers évènements (mariage, naissance, Saint-Nicolas, etc.) ; +Chèques-cadeau (Noël et anniversaires) ; +Possibilité de recevoir une prime pour les déplacements en vélo ; +Possibilité de bénéficier d’une prime de bilinguisme ; +Nombreuses possibilités de formations (à suivre durant les heures de travail) ; +PC et GSM de société avec abonnement téléphonique ; + + +LA PROCÉDURE DE SÉLECTION + +Vous êtes convaincu.e d'avoir le profil adéquat pour cette fonction ? Téléchargez votre CV et votre lettre de motivation en cliquant sur « postuler maintenant ». Vous recevrez ensuite un e-mail de confirmation de votre candidature. + +Les candidat.e.s retenu.e.s seront invité.e.s à participer à la procédure de sélection au sein de l’Agence du stationnement de la Région Bruxelles-Capitale. + +En tant que personne présentant un handicap, un trouble ou une maladie, vous pouvez demander des aménagements raisonnables de la procédure de sélection. Vous devez mentionner ceci au moment de l’envoi de votre C.V. + +Date limite pour le dépôt de la candidature : 01/09/2024 +Show more ","
    + + + + + +
    +
    + Société

    parking.brussels est une jeune agence gouvernementale dynamique, en pleine croissance. Notre devise « mieux se garer pour mieux bouger », résume notre vision ambitieuse pour améliorer la mobilité. Notre objectif ? Harmoniser les règles de stationnement dans toute la Région bruxelloise, en collaboration avec les 19 communes. Dans cette perspective, et en vue d’œuvrer à une ville plus agréable et durable, nous sommes régulièrement en quête de nouveaux collaborateurs.

    Fonction

    Statut : Contractuel

    Contrat : A durée indéterminée

    Nombre de postes : 2

    Localisation : Bruxelles

    Niveau d’études : Ingénieur / Master (enseignement supérieur de type long)

    Société : Agence du stationnement de la Région Bruxelles-Capitale

    Vous intégrez parking.brussels en tant que Data Analyst / Scientist, dans l’optique d’y collaborer à la maîtrise et la gouvernance des données, et d’accompagner l’évolution digitale de l’entreprise, au sein d’un nouveau département dédié au management de la data. Au-delà de vos activités propres, vous aurez ainsi l’opportunité d’accompagner l’Agence dans sa transition digitale.

    Responsabilites & Tâches (liste Non Exhaustives)

    Sous la responsabilité du Data Manager, et en collaboration avec les services de support (IT et Technologie) et les départements métier (On-street, Off-street, Finances …) :

    • Vous appréhendez les différents aspects relatifs aux données générées ou produites par l’entreprise (localisation, accès, formats, structures et contenus) ;
    • Vous êtes chargé de l’analyse de ces données, dont vous procédez au traitement (extraction, intégration, tests, contrôles qualité, consolidation, enrichissement ...) et à la restitution statistique (tableaux, graphiques, rapports dynamiques, cartographies) destinée à en faciliter la compréhension et l’utilisation ;
    • Au-delà de ces aspects d’analyse, vous exploitez toutes données disponibles sous la forme d’indicateurs pertinents eu égard aux besoins et impératifs de parking.brussels en matière de gouvernance, politique interne / externe, reporting, études et suivi opérationnel / contractuel ;
    • Vous participez dans ce cadre à la mise en place des processus et outils permettant l’importation / centralisation des données (au sein d’une solution de type Data Warehouse) ainsi que leur restitution dynamique (dashboard), en vue de systématiser et automatiser tant leur exploitation que leur visualisation et diffusion ;
    • Vous vous tenez informé des évolutions techniques relatives à ces processus et outils, et êtes en mesure de formuler des propositions à cet égard ;
    • Sur base de vos activités et travaux, vous faites des recommandations quant à l’amélioration des processus opérationnels et des positionnements stratégiques de l’entreprise ;
    • Vous documentez rigoureusement l’ensemble des étapes et procédures impliquées dans vos travaux ;
    • Vous prenez en charge les procédures de marchés publics associées à vos domaines d'intervention et votre champ d'expertise.

    Profil

    FORMATION

    Vous êtes titulaire d’un Master (en data science, sciences exactes, statistique ou informatique).

    COMPÉTENCES TECHNIQUES

    • Vous disposez d’une expertise, idéalement via une expérience professionnelle pertinente, dans l’intégration, le traitement et l’analyse de sources de données corrélées, multiples et hétérogènes (y compris de séries temporelles et de données géospatiales) ;
    • Vous avez une bonne maîtrise des méthodes et principes d’analyses statistiques, et disposez d’une connaissance des outils de reporting BI ;
    • Vous disposez du bagage informatique et technique suffisant pour la bonne exécution des tâches incombant à la fonction, et démontrez d’une expérience pratique associée à ce bagage (une expérience préalable avec le langage Python, et ses librairies d’analyse et de visualisation est recommandée) ;
    • De la manière générale, vous êtes conscient de la diversité des domaines de la Data Science et du Big Data, ainsi que des implications associées au développement d’un projet tel que le MaaS ;
    • Vous avez une connaissance du GIS, idéalement d’un logiciel en accès libre, ou êtes prêt à vous former en la matière ;
    • Vous justifiez d’une approche scientifique et rigoureuse de votre travail, ainsi que de facultés analytiques ;
    • Vous disposez de qualités rédactionnelles ;
    • Une expertise dans le domaine du stationnement ou de la mobilité, en particulier acquise en Région de Bruxelles-Capitale, ou un certificat de conseiller en mobilité (type CEMA) sont des atouts ;
    • Vous avez une bonne connaissance de la Région de Bruxelles-Capitale, en ce compris de son contexte institutionnel, et des politiques qui y sont menées en matière de stationnement et de mobilité ;
    • Vous êtes capable de rédiger un cahier des charges et de mener une procédure de marché public ;
    • Vous avez au minimum une connaissance passive de l’autre langue nationale (Fr ou NL), ainsi que de l’anglais.

    COMPÉTENCES COMPORTEMENTALES

    • Être organisé.e et planifier son travail en vue de la concrétisation des objectifs fixés ;
    • Savoir travailler en autonomie et prendre des initiatives tout en cultivant l’esprit d’équipe et de collaboration ;
    • Disposer d’aptitudes analytiques et de logique, ainsi que d’une approche scientifique et d’un sens critique ;
    • Intégrer, traiter et synthétiser l’information ;
    • Faire preuve de pédagogie, conseiller, soutenir et savoir argumenter ;
    • Être à l’écoute et savoir s’adapter ;
    • S’auto-développer.

    Offre

    Vous serez engagé en qualité d’Attaché (A101) avec le barème de traitement correspondant.

    AVANTAGES

    • Une fonction stratégique dans une jeune institution publique, en pleine évolution, qui valorise votre implication ;
    • Un équilibre harmonieux entre travail et vie privée grâce à un horaire flexible dans la prestation des 38h hebdomadaires et aux possibilités de télétravail ;
    • Chèques-repas d'une valeur de 8 euros par jour de prestation ;
    • Un capital congé attrayant (35 jours et fermeture de fin d’année) ;
    • Gratuité des transports en commun pour le trajet domicile-travail sur Bruxelles et en dehors de Bruxelles ;
    • Assurance hospitalisation pour vous et les membres de votre ménage (conjoint et enfants);
    • Une indemnité pour le télétravail de 50 euros net par mois ;
    • Prime de fin d’année ;
    • Primes pour divers évènements (mariage, naissance, Saint-Nicolas, etc.) ;
    • Chèques-cadeau (Noël et anniversaires) ;
    • Possibilité de recevoir une prime pour les déplacements en vélo ;
    • Possibilité de bénéficier d’une prime de bilinguisme ;
    • Nombreuses possibilités de formations (à suivre durant les heures de travail) ;
    • PC et GSM de société avec abonnement téléphonique ;

    LA PROCÉDURE DE SÉLECTION

    Vous êtes convaincu.e d'avoir le profil adéquat pour cette fonction ? Téléchargez votre CV et votre lettre de motivation en cliquant sur « postuler maintenant ». Vous recevrez ensuite un e-mail de confirmation de votre candidature.

    Les candidat.e.s retenu.e.s seront invité.e.s à participer à la procédure de sélection au sein de l’Agence du stationnement de la Région Bruxelles-Capitale.

    En tant que personne présentant un handicap, un trouble ou une maladie, vous pouvez demander des aménagements raisonnables de la procédure de sélection. Vous devez mentionner ceci au moment de l’envoi de votre C.V.

    Date limite pour le dépôt de la candidature : 01/09/2024 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3865264874,https://be.linkedin.com/jobs/view/senior-data-scientist-at-tobania-a-sopra-steria-company-3865264874?position=9&pageNum=2&refId=Q0muU0NaKOVAQURXbdO7kA%3D%3D&trackingId=AUMiqFmY4ifKJXjMDxFH6Q%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,Tobania a Sopra Steria Company,"Brussels, Brussels Region, Belgium","What can you expect? + +Python Predictions is currently looking for a Senior Data Scientist. As we are growing fast, we are looking for people to support and participate in this growth. We are looking for a person with a passion for data science, interested in leading concrete business projects in a wide variety of domains and applications. + +In this role, you will work closely with other Data Profiles from Python Predictions but also from our clients’ internal teams. You will lead the way and participate in multiple advanced analytics projects from the ideation phase to the value delivery. Every step of the way, you will ensure the quality of the analytical solution as well as the actionability towards the business stakeholders. + +As a Senior Data Scientist, you will be invited to coach junior team members and share your experience. + +Does this sound like your ideal day-to-day drill? Then don’t wait any longer and let’s meet. + + + + +Who are we looking for? + +You have multiple years of experience in a variety of data science applications (not all, but not limited to one either). +You understand that organizations today should make the most of the available information, in order to turn this information into value. You have acquired relevant skills through your past experiences. +You are as proficient in Python as you are in English, Dutch or French (all other (programming) languages are a plus). +You are motivated by obtaining concrete deliverables and results. You want to make a difference for the organizations you work for, and you like to be recognized for your input. +You can work independently, but you also appreciate collaboration. You are open-minded and have no fear of expressing your opinion in a constructive way. +You have experience in project management and people management. + + + + +What do we have to offer? + +Python Predictions is a Brussels-based service provider specialized in data projects with business impact. +In January 2020, Python Predictions joined Tobania – a leading Belgian business & technology consulting firm. And in turn, in March 2023, Tobania joined Sopra Steria – a major Tech player in Europe recognized for its consulting, digital services and software development. +Great variation in job content due to short and long term missions in different industries, different domains and different environments. +A competitive salary, with plenty of fringe benefits. +A diverse team of supportive colleagues with different backgrounds, skills and interests but shared values who’ll make you feel right at home. +The opportunity to turn these new colleagues into friends during our legendary afterwork drinks and other exciting events. +In-company training adapted to your personal needs. +Continuous learning in monthly team meetings and personal development time. +A chance to exploit your talents in our Tobania.Academy and on-the-job coaching. +A workstation at one of our customers’ offices, at Python’s Brussels office but also at any Tobania’s location! + +Show more ","
    + + + + + +
    +
    +

    What can you expect?

    Python Predictions is currently looking for a Senior Data Scientist. As we are growing fast, we are looking for people to support and participate in this growth. We are looking for a person with a passion for data science, interested in leading concrete business projects in a wide variety of domains and applications.

    In this role, you will work closely with other Data Profiles from Python Predictions but also from our clients’ internal teams. You will lead the way and participate in multiple advanced analytics projects from the ideation phase to the value delivery. Every step of the way, you will ensure the quality of the analytical solution as well as the actionability towards the business stakeholders.

    As a Senior Data Scientist, you will be invited to coach junior team members and share your experience.

    Does this sound like your ideal day-to-day drill? Then don’t wait any longer and let’s meet.


    Who are we looking for?

    • You have multiple years of experience in a variety of data science applications (not all, but not limited to one either).
    • You understand that organizations today should make the most of the available information, in order to turn this information into value. You have acquired relevant skills through your past experiences.
    • You are as proficient in Python as you are in English, Dutch or French (all other (programming) languages are a plus).
    • You are motivated by obtaining concrete deliverables and results. You want to make a difference for the organizations you work for, and you like to be recognized for your input.
    • You can work independently, but you also appreciate collaboration. You are open-minded and have no fear of expressing your opinion in a constructive way.
    • You have experience in project management and people management.


    What do we have to offer?

    • Python Predictions is a Brussels-based service provider specialized in data projects with business impact.
    • In January 2020, Python Predictions joined Tobania – a leading Belgian business & technology consulting firm. And in turn, in March 2023, Tobania joined Sopra Steria – a major Tech player in Europe recognized for its consulting, digital services and software development.
    • Great variation in job content due to short and long term missions in different industries, different domains and different environments.
    • A competitive salary, with plenty of fringe benefits.
    • A diverse team of supportive colleagues with different backgrounds, skills and interests but shared values who’ll make you feel right at home.
    • The opportunity to turn these new colleagues into friends during our legendary afterwork drinks and other exciting events.
    • In-company training adapted to your personal needs.
    • Continuous learning in monthly team meetings and personal development time.
    • A chance to exploit your talents in our Tobania.Academy and on-the-job coaching.
    • A workstation at one of our customers’ offices, at Python’s Brussels office but also at any Tobania’s location!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3987655813,https://be.linkedin.com/jobs/view/computer-vision-engineer-at-sky-hero-by-axon-3987655813?position=2&pageNum=5&refId=CWVMRxjfsX1Kt5DzsQVh4Q%3D%3D&trackingId=%2B8m9b7QQunbAltyizUq9Jg%3D%3D&trk=public_jobs_jserp-result_search-card,Computer Vision Engineer,Sky-Hero by AXON,"Brussels, Brussels Region, Belgium","At Axon, we’re on a mission to Protect Life. We’re explorers, addressing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. Life at Axon is fast-paced, challenging, and meaningful. Here, you’ll take ownership and drive real change. You’ll enjoy all the advantages of our group: stability, cutting-edge equipment, evolution, etc. + +New Ventures is a department within Axon that drives innovation through dedicated R&D and rapid prototyping. Following Axon's acquisition of SkyHero, the leading Brussels-based provider of tactical UAVs and UGVs, our focus has intensified on creating cutting-edge indoor aerial and ground drones for elite tactical teams. As part of Sky-Hero’s team, you’ll join a real family with strong collaboration, flexibility and open-mindedness. + +We are seeking a Computer Vision expert to take a leading and strategic role in the research and development of advanced sensing and mapping features for cutting-edge UAV and UGV reconnaissance products. + +Your mission + + +Prototyping and researching sensor fusion algorithms for Visual Inertial Odometry (VIO) and SLAM (Simultaneous Localization and Mapping) with other autonomy, embedded software, and computer vision teams. +Implementing and validating selected algorithms on-device, ensuring real-time performance. +Leading the design and development of testing and simulation to ensure product quality in demanding environments. +Collaborating with internationally distributed teams (Imaging, AI, Software) and participating in business travel to various offices worldwide. + + +Your Profile + + +Min 3 years' experience +English proficiency + + +Our Offer + + +Very attractive salary on 14th months +Meal vouchers to boost your purchasing power +Important bonus to valorize your work +30 days of paid leave +Stock options +Parking facilities +Ideal and strategic location +Comprehensive insurances coverage +Real and continuous career advancement opportunities +Unique opportunity to build and develop a significant and renowned professional network in the global market +Flexible working hours that consider your personal life +Home working to balance your personal organization +An environment where autonomy and trust prevail +Flat hierarchy, where you actively participate in decisions +A cohesive team to work under the best conditions +Events that offer personal fulfillment and cultural enrichment +And much more! + + +ALL APPLICATIONS WILL BE TREATED WITH THE UTMOST CONFIDENTIALITY. +Show more ","
    + + + + + +
    +
    + At Axon, we’re on a mission to Protect Life. We’re explorers, addressing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. Life at Axon is fast-paced, challenging, and meaningful. Here, you’ll take ownership and drive real change. You’ll enjoy all the advantages of our group: stability, cutting-edge equipment, evolution, etc.

    New Ventures is a department within Axon that drives innovation through dedicated R&D and rapid prototyping. Following Axon's acquisition of SkyHero, the leading Brussels-based provider of tactical UAVs and UGVs, our focus has intensified on creating cutting-edge indoor aerial and ground drones for elite tactical teams. As part of Sky-Hero’s team, you’ll join a real family with strong collaboration, flexibility and open-mindedness.

    We are seeking a Computer Vision expert to take a leading and strategic role in the research and development of advanced sensing and mapping features for cutting-edge UAV and UGV reconnaissance products.

    Your mission

    • Prototyping and researching sensor fusion algorithms for Visual Inertial Odometry (VIO) and SLAM (Simultaneous Localization and Mapping) with other autonomy, embedded software, and computer vision teams.
    • Implementing and validating selected algorithms on-device, ensuring real-time performance.
    • Leading the design and development of testing and simulation to ensure product quality in demanding environments.
    • Collaborating with internationally distributed teams (Imaging, AI, Software) and participating in business travel to various offices worldwide.

    Your Profile

    • Min 3 years' experience
    • English proficiency

    Our Offer

    • Very attractive salary on 14th months
    • Meal vouchers to boost your purchasing power
    • Important bonus to valorize your work
    • 30 days of paid leave
    • Stock options
    • Parking facilities
    • Ideal and strategic location
    • Comprehensive insurances coverage
    • Real and continuous career advancement opportunities
    • Unique opportunity to build and develop a significant and renowned professional network in the global market
    • Flexible working hours that consider your personal life
    • Home working to balance your personal organization
    • An environment where autonomy and trust prevail
    • Flat hierarchy, where you actively participate in decisions
    • A cohesive team to work under the best conditions
    • Events that offer personal fulfillment and cultural enrichment
    • And much more!

    ALL APPLICATIONS WILL BE TREATED WITH THE UTMOST CONFIDENTIALITY. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-31,[] +3987799102,https://be.linkedin.com/jobs/view/junior-software-engineer-digi-at-digi-belgium-3987799102?position=3&pageNum=5&refId=CWVMRxjfsX1Kt5DzsQVh4Q%3D%3D&trackingId=yk2pu8jV3dqm6SjmR%2FScLQ%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Software Engineer DIGI,DIGI Belgium,"Brussels, Brussels Region, Belgium","DIGI BE welcomes you. We've set foot in the telecom landscape with a singular mission - to disrupt and redefine. With audacious goals and an unyielding ambition, we're forging a path that is fiercely customer-centric and rooted in innovation. Prepare to witness a revolution in telecom, because DIGI BE isn't just here to play; we're here to lead and transform. + +To support us in this mission, we are currently looking for a Junior Software Engineer. + +Are you the one we’re looking for? Keep reading! + +The objective of this role are activities to ensure technical support in the creation of computer programs, according to + +predefined specifications and their assembly into coherent systems, including testing to ensure + +compliance with the specifications. + + +Software Product Production: + + +Ensure the production of high-quality software products. + + +Platform Development: + + +Develop and enhance PAS, SAAS platforms utilized for running software products. + + +Optimization and Monitoring: + + +Follow key indicators to ensure optimal software system functioning. + +Conduct audits and monitor the performance of platforms and software products. + +Adapt and integrate systems for maximum performance. + + +Availability and Delivery: + + +Ensure maximum availability of software services. + +Create development, testing, and automated delivery platforms for software products. + + +Security Implementation: + + +Develop and implement security policies for software systems. + + +Documentation: + + +Document solutions, incidents, and tools used for software systems. + + +Tool Development: + + +Write and develop tools to enhance IT systems functionality, reporting, installation, and administration. + + +Version Testing: + + +Study, search, and test new software/hardware versions to ensure maximum performance. + + +Data Backup: + + +Maintain backup copies of all platform or application data. + + +Compliance and Communication: + + +Acquire, inform, and adhere to decisions, internal notes, procedures, and updated work instructions. + +Propose improvements for departmental activities. + +Job requirements + +Must Have Qualities & Talents + + +Very good knowledge of English and French/ Dutch +Knows Windows, Linux operating systems. +Average knowledge of programming. +Knowledge of HTML, PHP OR JAVA Java Script. +Knowledge of MySQL, MsSQL, PgSQL databases. +Ability to adapt and integrate systems for optimal performance. +Excellent problem-solving and communication skills. +Proactive attitude and a continuous improvement mindset. + + +What We Offer + + +Full-time permanent contract. +An exceptionally contemporary workplace, where we prioritize a warm and people-centric atmosphere, ensuring that your daily experience takes center stage. +We place a strong emphasis on flexibility and hybrid work arrangements to promote a harmonious work-life balance +You work 40 hours per week. But they really fly by here! And as a result, you get an extra 12 days off per year if you work full-time +Celebrate good times with our lively events squad! They whip up a variety of happenings, from mouthwatering BBQs and sizzling Friday fry-ups to relaxed after-work socials and an annual family extravaganza, plus a whole bunch of other exciting adventures. +Seize the chance to start an exhilarating journey with DIGI, where innovation meets ambition in the ever-evolving telecom landscape. + + +Curious For More? + +Do you feel addressed by our company and are you ready for a unique experience? Then apply for this vacancy today! +Show more ","
    + + + + + +
    +
    + DIGI BE welcomes you. We've set foot in the telecom landscape with a singular mission - to disrupt and redefine. With audacious goals and an unyielding ambition, we're forging a path that is fiercely customer-centric and rooted in innovation. Prepare to witness a revolution in telecom, because DIGI BE isn't just here to play; we're here to lead and transform.

    To support us in this mission, we are currently looking for a Junior Software Engineer.

    Are you the one we’re looking for? Keep reading!

    The objective of this role are activities to ensure technical support in the creation of computer programs, according to

    predefined specifications and their assembly into coherent systems, including testing to ensure

    compliance with the specifications.

    • Software Product Production:

    Ensure the production of high-quality software products.

    • Platform Development:

    Develop and enhance PAS, SAAS platforms utilized for running software products.

    • Optimization and Monitoring:

    Follow key indicators to ensure optimal software system functioning.

    Conduct audits and monitor the performance of platforms and software products.

    Adapt and integrate systems for maximum performance.

    • Availability and Delivery:

    Ensure maximum availability of software services.

    Create development, testing, and automated delivery platforms for software products.

    • Security Implementation:

    Develop and implement security policies for software systems.

    • Documentation:

    Document solutions, incidents, and tools used for software systems.

    • Tool Development:

    Write and develop tools to enhance IT systems functionality, reporting, installation, and administration.

    • Version Testing:

    Study, search, and test new software/hardware versions to ensure maximum performance.

    • Data Backup:

    Maintain backup copies of all platform or application data.

    • Compliance and Communication:

    Acquire, inform, and adhere to decisions, internal notes, procedures, and updated work instructions.

    Propose improvements for departmental activities.

    Job requirements

    Must Have Qualities & Talents

    • Very good knowledge of English and French/ Dutch
    • Knows Windows, Linux operating systems.
    • Average knowledge of programming.
    • Knowledge of HTML, PHP OR JAVA Java Script.
    • Knowledge of MySQL, MsSQL, PgSQL databases.
    • Ability to adapt and integrate systems for optimal performance.
    • Excellent problem-solving and communication skills.
    • Proactive attitude and a continuous improvement mindset.

    What We Offer

    • Full-time permanent contract.
    • An exceptionally contemporary workplace, where we prioritize a warm and people-centric atmosphere, ensuring that your daily experience takes center stage.
    • We place a strong emphasis on flexibility and hybrid work arrangements to promote a harmonious work-life balance
    • You work 40 hours per week. But they really fly by here! And as a result, you get an extra 12 days off per year if you work full-time
    • Celebrate good times with our lively events squad! They whip up a variety of happenings, from mouthwatering BBQs and sizzling Friday fry-ups to relaxed after-work socials and an annual family extravaganza, plus a whole bunch of other exciting adventures.
    • Seize the chance to start an exhilarating journey with DIGI, where innovation meets ambition in the ever-evolving telecom landscape.

    Curious For More?

    Do you feel addressed by our company and are you ready for a unique experience? Then apply for this vacancy today! +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4000094487,https://be.linkedin.com/jobs/view/quantative-developer-internship-at-keyrock-4000094487?position=4&pageNum=5&refId=CWVMRxjfsX1Kt5DzsQVh4Q%3D%3D&trackingId=pqXvLOToQKlvJK2sHLjkJA%3D%3D&trk=public_jobs_jserp-result_search-card,Quantative Developer Internship,Keyrock,"Brussels, Brussels Region, Belgium","We are looking for: + +A Junior Analyst who is quantitatively driven and has an interest to work with NFTs. You may have already explored NFT trading either personally or professionally and have an interest in working with large data sets. In this role you will collaborate with like-minded people to develop solutions for our trading activities. + +You may be a dynamic analyst who is quantitatively driven and has an interest in track record in programming; DeFi, and data science are subjects you already have explored. In your role, you will collaborate with like-minded people to develop solutions for our trading activities. + +Job Description + +This role will be focusing on the liquidity provision of NFT ecosystems. You will have a heavy emphasis on data analytical modelling and potentially financial strategies. The role will be also be supporting our existing trading teams working in our NFT Business Unit. + +Skills Needed + + +Understanding of how to pull data from the blockchain +Knows how to read and present data or parse it to create models +An interest or experience in financial strategies, e.g. arbitrage (not essential) +Knowledge of SQL +A degree of technical aptitude with programming skills across any software languages for example: Python/C++/C/Rust or Java (not essential) +Any exposure into trading NFT’s would be highly advantageous +Exposure to DeFi ecosystems would be highly advantageous + + +Interview process: + +1st Stage is a short technical interview with the Hiring Manager + +2nd stage: Tech Challenge + +3rd Stage: Tech Challenge Debrief + +4th Stage: Final meeting with the wider team + +Offer + +Our recruitment philosophy + +We believe the most important aspect of our recruitment process is self-awareness: we are looking for people who have a clear understanding of themselves and what they are looking for in their professional career. That means that we expect to work with people who not only have the right skills, but who have also made the conscious decision to look for a company in our industry and with our characteristics and are willing to ask questions and learn in a context that may not be familiar to them. + +Our offer + + +A 6 month paid internship at Belgians leading digital assets company +The standard type of contract used in Belgium for professional internships is a so-called convention d'immersion professionnelle, with a fixed salary of ~1k EUR +The opportunity to learn about digital assets and blockchain from a 30,000 ft view of the entire ecosystem +Working from one of Brussels newest, nicest and most advanced office spaces + + +We have a strong preference for the internship to take place on-site in Belgium. In rare cases, for candidates based outside of Belgium, an alternative type of contract can be considered. + +Keyrock offers you both a career and a large range of benefits that we will gladly discuss in the course of the application process. + +As an employer we are committed to build an inclusive, diverse and non-discriminating work environment. We welcome employees of all backgrounds, ethnicities, genders, creed and sexual orientation. We hire, reward and promote entirely based on merit and performance. +Show more ","
    + + + + + +
    +
    + We are looking for:

    A Junior Analyst who is quantitatively driven and has an interest to work with NFTs. You may have already explored NFT trading either personally or professionally and have an interest in working with large data sets. In this role you will collaborate with like-minded people to develop solutions for our trading activities.

    You may be a dynamic analyst who is quantitatively driven and has an interest in track record in programming; DeFi, and data science are subjects you already have explored. In your role, you will collaborate with like-minded people to develop solutions for our trading activities.

    Job Description

    This role will be focusing on the liquidity provision of NFT ecosystems. You will have a heavy emphasis on data analytical modelling and potentially financial strategies. The role will be also be supporting our existing trading teams working in our NFT Business Unit.

    Skills Needed

    • Understanding of how to pull data from the blockchain
    • Knows how to read and present data or parse it to create models
    • An interest or experience in financial strategies, e.g. arbitrage (not essential)
    • Knowledge of SQL
    • A degree of technical aptitude with programming skills across any software languages for example: Python/C++/C/Rust or Java (not essential)
    • Any exposure into trading NFT’s would be highly advantageous
    • Exposure to DeFi ecosystems would be highly advantageous

    Interview process:

    1st Stage is a short technical interview with the Hiring Manager

    2nd stage: Tech Challenge

    3rd Stage: Tech Challenge Debrief

    4th Stage: Final meeting with the wider team

    Offer

    Our recruitment philosophy

    We believe the most important aspect of our recruitment process is self-awareness: we are looking for people who have a clear understanding of themselves and what they are looking for in their professional career. That means that we expect to work with people who not only have the right skills, but who have also made the conscious decision to look for a company in our industry and with our characteristics and are willing to ask questions and learn in a context that may not be familiar to them.

    Our offer

    • A 6 month paid internship at Belgians leading digital assets company
    • The standard type of contract used in Belgium for professional internships is a so-called convention d'immersion professionnelle, with a fixed salary of ~1k EUR
    • The opportunity to learn about digital assets and blockchain from a 30,000 ft view of the entire ecosystem
    • Working from one of Brussels newest, nicest and most advanced office spaces

    We have a strong preference for the internship to take place on-site in Belgium. In rare cases, for candidates based outside of Belgium, an alternative type of contract can be considered.

    Keyrock offers you both a career and a large range of benefits that we will gladly discuss in the course of the application process.

    As an employer we are committed to build an inclusive, diverse and non-discriminating work environment. We welcome employees of all backgrounds, ethnicities, genders, creed and sexual orientation. We hire, reward and promote entirely based on merit and performance. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-13,[] +3984417108,https://be.linkedin.com/jobs/view/consultant-in-data-science-at-sia-partners-3984417108?position=5&pageNum=5&refId=CWVMRxjfsX1Kt5DzsQVh4Q%3D%3D&trackingId=qvUf5dFHMqtDYxHc9lSPnw%3D%3D&trk=public_jobs_jserp-result_search-card,Consultant in Data Science,Sia Partners,"Brussels, Brussels Region, Belgium","Sia Partners is a specialist Management Consulting firm created in 1999 and has grown into a global firm with approximately 3000 employees and annual revenue exceeding $400m. Our culture is strongly orientated towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Our global presence and our expertise in more than 40 sectors and services allows us to accompany clients worldwide. Using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service. + +Through Consulting for Good, we put our expertise at the service of our clients' climate objectives and make sustainable development a performance lever for our clients. Our portfolio of offerings is cross-sectors and 17 % of our revenue is generated from engagements with a CSR focus. + + + + +Job Description + + + +As a consultant in Data Science, you will be involved in transformation projects at our clients. You will execute project assignments in modelling and digital transformation (business/IT analysis and partial coding) environments with a good deal of business perspectives: + +Machine learning, AI and statistics: developing predictive models of decision making (supervised and unsupervised learning algorithms, econometrics, forecasting, quantitative diagnosis,...) +Operational research : assistance in the design and implementation of constraint optimization solutions and simulation models +Big Data : Algorithmic knowledge for large and unstructured data processing + +You will get the opportunity to actively contribute to Sia Partners’ internal activities: + +Development and reinforcement of our offer, by understanding and interpreting data science innovation and challenges +Business development, by contributing to need definition and participating in our commercial initiatives + +Equipped with the entrepreneurial fibre, you are ready to cooperate in a fast growing company. + +In return, you can expect: + +An international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions. +A great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged +A personal development plan with a regular follow-up as well training opportunities to develop yourself +A competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus,... + + +Qualifications + + +University Master Civil Engineer (applied mathematics, IT or similar) +0 to 3 years’ experience as a consultant +Outstanding team player with great interpersonal and communication skills +Strong interest in data science and related sectors such as Energy and Finance +Analytical mind, exploring options and able to synthesize into conclusions +Dynamic, result oriented, rigorous and committed +Trilingual: French, Dutch and English +Prepared to participate in temporary assignments abroad + + +Additional Information + + + +We are unable to provide a work permit for this position + +Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. + +Show more ","
    + + + + + +
    +
    +

    Sia Partners is a specialist Management Consulting firm created in 1999 and has grown into a global firm with approximately 3000 employees and annual revenue exceeding $400m. Our culture is strongly orientated towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Our global presence and our expertise in more than 40 sectors and services allows us to accompany clients worldwide. Using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service.

    Through Consulting for Good, we put our expertise at the service of our clients' climate objectives and make sustainable development a performance lever for our clients. Our portfolio of offerings is cross-sectors and 17 % of our revenue is generated from engagements with a CSR focus.


    Job Description

    As a consultant in Data Science, you will be involved in transformation projects at our clients. You will execute project assignments in modelling and digital transformation (business/IT analysis and partial coding) environments with a good deal of business perspectives:

    • Machine learning, AI and statistics: developing predictive models of decision making (supervised and unsupervised learning algorithms, econometrics, forecasting, quantitative diagnosis,...)
    • Operational research : assistance in the design and implementation of constraint optimization solutions and simulation models
    • Big Data : Algorithmic knowledge for large and unstructured data processing

    You will get the opportunity to actively contribute to Sia Partners’ internal activities:

    • Development and reinforcement of our offer, by understanding and interpreting data science innovation and challenges
    • Business development, by contributing to need definition and participating in our commercial initiatives

    Equipped with the entrepreneurial fibre, you are ready to cooperate in a fast growing company.

    In return, you can expect:

    • An international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions.
    • A great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged
    • A personal development plan with a regular follow-up as well training opportunities to develop yourself
    • A competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus,...

    Qualifications

    • University Master Civil Engineer (applied mathematics, IT or similar)
    • 0 to 3 years’ experience as a consultant
    • Outstanding team player with great interpersonal and communication skills
    • Strong interest in data science and related sectors such as Energy and Finance
    • Analytical mind, exploring options and able to synthesize into conclusions
    • Dynamic, result oriented, rigorous and committed
    • Trilingual: French, Dutch and English
    • Prepared to participate in temporary assignments abroad

    Additional Information

    We are unable to provide a work permit for this position

    Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +3999044894,https://be.linkedin.com/jobs/view/robotics-software-engineer-%E2%80%93-onboard-autonomy-at-space-applications-services-nv-sa-3999044894?position=6&pageNum=5&refId=CWVMRxjfsX1Kt5DzsQVh4Q%3D%3D&trackingId=mKgP5bHAV%2BCVtkTPyczc4w%3D%3D&trk=public_jobs_jserp-result_search-card,Robotics Software Engineer – Onboard Autonomy,Space Applications Services NV/SA,"Brussels, Brussels Region, Belgium","The Robotics Software and Intelligence (RSI) Division is responsible for the study, design, prototyping and development of state-of-the-art robotics products for our customers. + + + + +Position + + + + +The position involves engaging in the development of multi-agent mission planning for robotics systems. The successful candidate will be involved in the analysis, simulation, development, and testing of coordinated task and path planning for multi-agent systems, with integration into both offline control centres and onboard robotic platforms for real-time operations. + + + + +The position is central to projects spanning marine, terrestrial, and planetary robotics, contributing to applied research initiatives and on European Space Agency (ESA), European Commission (EC), as well as defence and commercial projects. + + + + +The successful candidate will be part of the Robotics, Software & Intelligence (RSI) Team. + +The candidate will mainly report to the RSI Team Lead. + + + + +Location: Sint-Stevens-Woluwe (Brussels Area) +Start date: As of November 2024 + + + + +Tasks and Responsibilities + + + + +Analyse and develop offline and online mission planning techniques composed of goal decomposition, tasks allocation, path/trajectory planning and adaptation to dynamic events using Artificial Intelligence (AI) or optimisation approaches +Develop command, control & intelligence software applications with integrated mission planning +Participate in the end-to-end implementation with testing, integration and optimisation of target robot architecture +Implement the developed technologies in the in-house robotic control centre and integrate them with mobile and underwater robots +Generate the technical documentation required all along the process. + + + + +Skills and Experience + + + + +MSc or PhD in relevant fields (e.g. AI/Machine Learning, robotics, computer science, software engineering) + + + + +Strong theoretical and practical background in: + +Classical AI and/or optimisation techniques +Operational research +Planning domain description +Ontology based knowledge representation +Semantic reasoning - applied to multi-robot mission planning paradigms + + + + +In addition: + +Very strong programming skills (C++, Python) on Linux environment and Git tools +Thorough experience of Software development in ROS and simulation in Gazebo +Strength to cope with schedules and deadlines +Fluent in English, both spoken and written with good skills in technical documentation delivery. + + + + +Considered as Assets + + + + +Knowledge of OWL, PDDL and other ontology representations +Machine Learning techniques (supervised, unsupervised, reinforcement learning) and Deep Learning via TensorFlow, Keras, etc. +Knowledge of web technologies such as JavaScript, Node.js, HTML5, etc. +Robotics software architectures (design), Robotics Middleware and Networks +Onboard autonomy +Continuous Integration methodologies. + + + + +Our Offer + + + + +Working within an exceptional sector with Staff located in Belgium, Germany and the Netherlands +A professional and modern working environment with motivated Administrative Staff, Engineers, Astronaut Training Instructors and Scientists coming from all different horizons and countries with a common passion for space and their own expertise +A full-time position with an indefinite contract of employment +A competitive remuneration package and good working conditions +Working from home in part can be a possibility +An individualised training and development programmes. + + + + +About Us + + + + +Space Applications Services is a Company at the forefront of space technology development and the provision of services for human spaceflight, exploration and earth observation missions. Headquartered in Belgium (Brussels Area), with a research office in the Netherlands and a subsidiary in the USA, the Company provides solutions for both commercial and institutional customers. We work with Clients such as the European Space Agency, the European Commission, governmental and national space agencies as well as the major space industries. + +The Company develops payloads, avionics, robotics technology and products, and provides complete mission operations control centre solutions to EN9100 standards. + +The Company also provides engineering, science and training services, including astronaut training. + +From our headquarters, we are in daily contact with the International Space Station (ISS) ensuring our Customers’ research is successful. + + + + +How To Apply + + + + +Upload your CV, Motivation Letter and a Reference Letter, to the attention of Mr Shashank Govindaraj. + + + + +The candidate shall be eligible to work in the European Union for a couple of years. + +Show more ","
    + + + + + +
    +
    +

    The Robotics Software and Intelligence (RSI) Division is responsible for the study, design, prototyping and development of state-of-the-art robotics products for our customers.


    Position


    The position involves engaging in the development of multi-agent mission planning for robotics systems. The successful candidate will be involved in the analysis, simulation, development, and testing of coordinated task and path planning for multi-agent systems, with integration into both offline control centres and onboard robotic platforms for real-time operations.


    The position is central to projects spanning marine, terrestrial, and planetary robotics, contributing to applied research initiatives and on European Space Agency (ESA), European Commission (EC), as well as defence and commercial projects.


    The successful candidate will be part of the Robotics, Software & Intelligence (RSI) Team.

    The candidate will mainly report to the RSI Team Lead.


    • Location: Sint-Stevens-Woluwe (Brussels Area)
    • Start date: As of November 2024


    Tasks and Responsibilities


    • Analyse and develop offline and online mission planning techniques composed of goal decomposition, tasks allocation, path/trajectory planning and adaptation to dynamic events using Artificial Intelligence (AI) or optimisation approaches
    • Develop command, control & intelligence software applications with integrated mission planning
    • Participate in the end-to-end implementation with testing, integration and optimisation of target robot architecture
    • Implement the developed technologies in the in-house robotic control centre and integrate them with mobile and underwater robots
    • Generate the technical documentation required all along the process.


    Skills and Experience


    • MSc or PhD in relevant fields (e.g. AI/Machine Learning, robotics, computer science, software engineering)


    Strong theoretical and practical background in:

    • Classical AI and/or optimisation techniques
    • Operational research
    • Planning domain description
    • Ontology based knowledge representation
    • Semantic reasoning - applied to multi-robot mission planning paradigms


    In addition:

    • Very strong programming skills (C++, Python) on Linux environment and Git tools
    • Thorough experience of Software development in ROS and simulation in Gazebo
    • Strength to cope with schedules and deadlines
    • Fluent in English, both spoken and written with good skills in technical documentation delivery.


    Considered as Assets


    • Knowledge of OWL, PDDL and other ontology representations
    • Machine Learning techniques (supervised, unsupervised, reinforcement learning) and Deep Learning via TensorFlow, Keras, etc.
    • Knowledge of web technologies such as JavaScript, Node.js, HTML5, etc.
    • Robotics software architectures (design), Robotics Middleware and Networks
    • Onboard autonomy
    • Continuous Integration methodologies.


    Our Offer


    • Working within an exceptional sector with Staff located in Belgium, Germany and the Netherlands
    • A professional and modern working environment with motivated Administrative Staff, Engineers, Astronaut Training Instructors and Scientists coming from all different horizons and countries with a common passion for space and their own expertise
    • A full-time position with an indefinite contract of employment
    • A competitive remuneration package and good working conditions
    • Working from home in part can be a possibility
    • An individualised training and development programmes.


    About Us


    Space Applications Services is a Company at the forefront of space technology development and the provision of services for human spaceflight, exploration and earth observation missions. Headquartered in Belgium (Brussels Area), with a research office in the Netherlands and a subsidiary in the USA, the Company provides solutions for both commercial and institutional customers. We work with Clients such as the European Space Agency, the European Commission, governmental and national space agencies as well as the major space industries.

    The Company develops payloads, avionics, robotics technology and products, and provides complete mission operations control centre solutions to EN9100 standards.

    The Company also provides engineering, science and training services, including astronaut training.

    From our headquarters, we are in daily contact with the International Space Station (ISS) ensuring our Customers’ research is successful.


    How To Apply


    Upload your CV, Motivation Letter and a Reference Letter, to the attention of Mr Shashank Govindaraj.


    The candidate shall be eligible to work in the European Union for a couple of years.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +3996368002,https://be.linkedin.com/jobs/view/data-science-consultant-min-2-years-experience-fluent-in-nl-at-orange-business-3996368002?position=9&pageNum=5&refId=CWVMRxjfsX1Kt5DzsQVh4Q%3D%3D&trackingId=bndqlsgLmWYkYnl64ogh8A%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Science Consultant Min. 2 years experience, fluent in NL",Orange Business,"Brussels, Brussels Region, Belgium","The team, position & mission: + + + + +Are you passionate about data? Do you like creating a real impact by tackling some real-world problems our clients face by developing algorithms for recommendation engines, developing natural language processing algorithms or employing deep learning methods on information? If you answered yes, this could be the job for you! As a Data Scientist, your job will be to propose and develop advanced analytical models for a series of different clients and in different industries like life science, media, public, banking, insurance and others. + + + + +Your key areas of responsibility as a Data Science Consultant: + + + + +Proposing and developing advanced analytical models for a series of different clients and in different industries like life science, media, public, banking, insurance and others. +Working as a consultant for big clients, accompanied by your colleague experts in the field. An analytical career path will help you to develop your skills and obtain your objectives on the long term. + + + + +As an ideal candidate you have: + + + + +A master’s degree or PhD in Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field +2-5 years relevant experience in data science / data analysis / data mining +Passionate about data and/or statistical analysis, with mathematics and modelling skills +Experience in at least one of the following sectors: Banking, Finance, Risk, Marketing, Customer Intelligence, Life Sciences +Experience with SQL +Some experience with data visualization tools (Power BI, Tableau, ...) is a plus +Experience with applying regression, classification, natural language processing, clustering/ segmentation, time-series forecasting, anomaly detection or predictive maintenance is a must +Proficiency in data sourcing (web-scraping, API, etc.), data transformation and data preparation techniques +Excellent programming knowledge in Python and/or R +Good coding practices and code refactoring experience is an advantage +Interest in machine learning, deep learning and/or MLOps +Experience using Cloud Data Platforms (Azure, GCP, ...) for Data Science projects is a plus +Ability to understand the business requirements and develop new/existing algorithms to satisfy those requirements +Strong communication and presentation skills +Being able to explain technical concepts to a non-technical audience and explainable AI is an advantage +Conceptual and creative thinking +A plus: Hands on experience in Enterprise Intelligence (e.g., Data Warehousing, Data Management, Business Intelligence, Analytics, Big Data ecosystem) +Fluent in English and French and/or Dutch +Experience in using tools leveraging Generative AI and/or developing yourself projects that make use of Generative AI is a plus + + + + +What we offer you: + + + + +Hybrid ways of working with access to our modern & collaborative offices in Brussels +We may work with tomorrow’s technology, but at our core we are a people-oriented organization and we are proud to have our Great Place to Work certification +An open and inclusive culture, that enables us to reach our full potential +A community of experts - as Digital Natives, we put innovation at the heart of our expertise +Read more about the benefits we offer here + + + + +About Orange Business: + +Orange Business is a leading network and digital integrator company with offices in 65 countries worldwide, and part of the Orange Group. + + + + +Digital Services, a business line of Orange Business is a newly created division within Orange Business. In Europe the business line consists of approximately 1500 people distributed across 9 countries. We are digital natives, with innovation at the core of our business, which makes us a reliable partner close to our customers. Our joint mission is to help innovate, drive and lead them in their digital transformation challenges and business strategies in key digital domains, including Cloud, Customer Experience, Digital Workspace and Data & AI. As an agile and fast-moving digital business partner, the business line offers trusted end-to-end solutions and products that help businesses in a wide range of industries in the private and public sector transform their operations, enhance customer experience, and drive growth. + + + + +With our digital expertise, we are a strategic partner of Orange Business objectives to be a leading network and digital integrator with our team as a key growth engine. + +Show more ","
    + + + + + +
    +
    +

    The team, position & mission:


    Are you passionate about data? Do you like creating a real impact by tackling some real-world problems our clients face by developing algorithms for recommendation engines, developing natural language processing algorithms or employing deep learning methods on information? If you answered yes, this could be the job for you! As a Data Scientist, your job will be to propose and develop advanced analytical models for a series of different clients and in different industries like life science, media, public, banking, insurance and others.


    Your key areas of responsibility as a Data Science Consultant:


    • Proposing and developing advanced analytical models for a series of different clients and in different industries like life science, media, public, banking, insurance and others.
    • Working as a consultant for big clients, accompanied by your colleague experts in the field. An analytical career path will help you to develop your skills and obtain your objectives on the long term.


    As an ideal candidate you have:


    • A master’s degree or PhD in Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field
    • 2-5 years relevant experience in data science / data analysis / data mining
    • Passionate about data and/or statistical analysis, with mathematics and modelling skills
    • Experience in at least one of the following sectors: Banking, Finance, Risk, Marketing, Customer Intelligence, Life Sciences
    • Experience with SQL
    • Some experience with data visualization tools (Power BI, Tableau, ...) is a plus
    • Experience with applying regression, classification, natural language processing, clustering/ segmentation, time-series forecasting, anomaly detection or predictive maintenance is a must
    • Proficiency in data sourcing (web-scraping, API, etc.), data transformation and data preparation techniques
    • Excellent programming knowledge in Python and/or R
    • Good coding practices and code refactoring experience is an advantage
    • Interest in machine learning, deep learning and/or MLOps
    • Experience using Cloud Data Platforms (Azure, GCP, ...) for Data Science projects is a plus
    • Ability to understand the business requirements and develop new/existing algorithms to satisfy those requirements
    • Strong communication and presentation skills
    • Being able to explain technical concepts to a non-technical audience and explainable AI is an advantage
    • Conceptual and creative thinking
    • A plus: Hands on experience in Enterprise Intelligence (e.g., Data Warehousing, Data Management, Business Intelligence, Analytics, Big Data ecosystem)
    • Fluent in English and French and/or Dutch
    • Experience in using tools leveraging Generative AI and/or developing yourself projects that make use of Generative AI is a plus


    What we offer you:


    • Hybrid ways of working with access to our modern & collaborative offices in Brussels
    • We may work with tomorrow’s technology, but at our core we are a people-oriented organization and we are proud to have our Great Place to Work certification
    • An open and inclusive culture, that enables us to reach our full potential
    • A community of experts - as Digital Natives, we put innovation at the heart of our expertise
    • Read more about the benefits we offer here


    About Orange Business:

    Orange Business is a leading network and digital integrator company with offices in 65 countries worldwide, and part of the Orange Group.


    Digital Services, a business line of Orange Business is a newly created division within Orange Business. In Europe the business line consists of approximately 1500 people distributed across 9 countries. We are digital natives, with innovation at the core of our business, which makes us a reliable partner close to our customers. Our joint mission is to help innovate, drive and lead them in their digital transformation challenges and business strategies in key digital domains, including Cloud, Customer Experience, Digital Workspace and Data & AI. As an agile and fast-moving digital business partner, the business line offers trusted end-to-end solutions and products that help businesses in a wide range of industries in the private and public sector transform their operations, enhance customer experience, and drive growth.


    With our digital expertise, we are a strategic partner of Orange Business objectives to be a leading network and digital integrator with our team as a key growth engine.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3986515596,https://be.linkedin.com/jobs/view/software-engineer-at-speos-3986515596?position=1&pageNum=7&refId=U7Acnhq2MwSwoo%2Bg3xTVLQ%3D%3D&trackingId=sxMnak%2FNFnF8gzDF3v29eg%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer,speos,"Anderlecht, Brussels Region, Belgium","Software Engineer + + + + +Mission + + + + +As Software Engineer, you actively participate in the delivery of external (Customer Solution) and/or Internal IT Projects (Product & Administrative Solutions). You also participate in the Analysis, Estimation, Designing, Building, Testing, Documenting, and Implementing of Customer Solutions + +In addition, you maintain and enhance existing solutions (Change Request Delivery) and providing 2nd level support (Support process). + + + + +Responsibilities + + + + +As Software Engineer, your responsibilities will be to: + + + + +Analyze, develop, test, maintain, fix, write supporting document of customer solutions and Speos Administrative solutions. +Review and improve existing code. +Participate in the continuous improvement of the Client Application Development. +Provide 2nd level support, identify root-causes & resolution, respect support procedures. +Resolve Malfunctions, Bugs, Deploying Fixes. +Provide technical coaching and guidance to Service Managers & Coordinators. +Participate in the creation and validation of functional documentation of a project. +Take the lead in the creation and validation of technical documentation of a project. +Build solutions according to agreed specifications, within speos standards & guidelines. +Test & deploying solutions based on pre-defined acceptance criteria and procedures. + + + + +Profile + + + + +As Software Engineer, you have: + + + + +A bachelor degree in IT or equivalent by experience +Very good command in French or Dutch and English +Experience with the following technologies: +Java & Spring Boot: Intermediate - Building and deploying enterprise applications +JavaScript/TypeScript: Beginner - Basic development +SQL: Basic - Writing queries + +Tools & Platforms: + +Git & GitLab: Intermediate - Version control and CI/CD +APIs & Testing: Postman - API development and testing +IDEs: IntelliJ, Visual Studio Code, UltraEdit - Efficient coding environments +Databases: DB2, MariaDB, MongoDB - Querying +AWS: Beginner - Basic cloud deployment +Project Management: Jira, Confluence - Task management and documentation +Remote Computing: MobaXterm, SSH, SFTP + + + + +Preferred: + +Quadient® Inspire Designer & Inspire Content Manager: Experience is a plus +Visual Basic: Basic - Maintaining legacy services + + + + +And you also are + +A great team player with experience in working within a project structure. +Analytic and Structural thinking. +Transparent & pro-active Mindset. +Whenever possible, propose improvements in performance in the environment and in company security. + + + + +Our offer + +A competitive salary package - Your salary comes with extra-legal benefits, such as a company car, profit sharing, group and hospitalization insurance and meal vouchers. +Lots of autonomy and flexibility for direct impact on the growth of speos. +A stimulating and evolving role with many challenges, opportunities, and innovative projects. +A dynamic team in a family company culture! +A unique atmosphere, collegiality, and conviviality. + +You will join us in a diverse team of highly talented colleagues, where there is room for ideas, initiative, and professional development. + + + + +Why speos ? + +speos is an innovative, leading Belgian company that develops solutions designed to empower companies with optimized and secure administrative and financial processes. We manage all aspects of your outbound document workflow, from document generation to distribution across print and digital channels. + +The ultimate goal of speos is to ensure the success of our customers' administrative and financial processes. This allows them to concentrate all their efforts on their core business. + +speos' strategy and its position as a subsidiary of the bpost group since 2001 make us the #1 reference in our field of expertise in Belgium. We owe this recognition to our ambitious management, state-of-the-art technological know-how and proven customer service. + +Show more ","
    + + + + + +
    +
    +

    Software Engineer


    Mission


    As Software Engineer, you actively participate in the delivery of external (Customer Solution) and/or Internal IT Projects (Product & Administrative Solutions). You also participate in the Analysis, Estimation, Designing, Building, Testing, Documenting, and Implementing of Customer Solutions

    In addition, you maintain and enhance existing solutions (Change Request Delivery) and providing 2nd level support (Support process).


    Responsibilities


    As Software Engineer, your responsibilities will be to:


    • Analyze, develop, test, maintain, fix, write supporting document of customer solutions and Speos Administrative solutions.
    • Review and improve existing code.
    • Participate in the continuous improvement of the Client Application Development.
    • Provide 2nd level support, identify root-causes & resolution, respect support procedures.
    • Resolve Malfunctions, Bugs, Deploying Fixes.
    • Provide technical coaching and guidance to Service Managers & Coordinators.
    • Participate in the creation and validation of functional documentation of a project.
    • Take the lead in the creation and validation of technical documentation of a project.
    • Build solutions according to agreed specifications, within speos standards & guidelines.
    • Test & deploying solutions based on pre-defined acceptance criteria and procedures.


    Profile


    As Software Engineer, you have:


    1. A bachelor degree in IT or equivalent by experience
    2. Very good command in French or Dutch and English
    3. Experience with the following technologies:
    • Java & Spring Boot: Intermediate - Building and deploying enterprise applications
    • JavaScript/TypeScript: Beginner - Basic development
    • SQL: Basic - Writing queries

    Tools & Platforms:

    • Git & GitLab: Intermediate - Version control and CI/CD
    • APIs & Testing: Postman - API development and testing
    • IDEs: IntelliJ, Visual Studio Code, UltraEdit - Efficient coding environments
    • Databases: DB2, MariaDB, MongoDB - Querying
    • AWS: Beginner - Basic cloud deployment
    • Project Management: Jira, Confluence - Task management and documentation
    • Remote Computing: MobaXterm, SSH, SFTP


    Preferred:

    • Quadient® Inspire Designer & Inspire Content Manager: Experience is a plus
    • Visual Basic: Basic - Maintaining legacy services


    And you also are

    1. A great team player with experience in working within a project structure.
    2. Analytic and Structural thinking.
    3. Transparent & pro-active Mindset.
    4. Whenever possible, propose improvements in performance in the environment and in company security.


    Our offer

    • A competitive salary package - Your salary comes with extra-legal benefits, such as a company car, profit sharing, group and hospitalization insurance and meal vouchers.
    • Lots of autonomy and flexibility for direct impact on the growth of speos.
    • A stimulating and evolving role with many challenges, opportunities, and innovative projects.
    • A dynamic team in a family company culture!
    • A unique atmosphere, collegiality, and conviviality.

    You will join us in a diverse team of highly talented colleagues, where there is room for ideas, initiative, and professional development.


    Why speos ?

    speos is an innovative, leading Belgian company that develops solutions designed to empower companies with optimized and secure administrative and financial processes. We manage all aspects of your outbound document workflow, from document generation to distribution across print and digital channels.

    The ultimate goal of speos is to ensure the success of our customers' administrative and financial processes. This allows them to concentrate all their efforts on their core business.

    speos' strategy and its position as a subsidiary of the bpost group since 2001 make us the #1 reference in our field of expertise in Belgium. We owe this recognition to our ambitious management, state-of-the-art technological know-how and proven customer service.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +3984529902,https://be.linkedin.com/jobs/view/splunk-engineer-at-regen-solutions-3984529902?position=2&pageNum=7&refId=U7Acnhq2MwSwoo%2Bg3xTVLQ%3D%3D&trackingId=hSBKSfSQQMQ2F%2BWhYuQDKA%3D%3D&trk=public_jobs_jserp-result_search-card,Splunk Engineer,Regen Solutions,"Brussels, Brussels Region, Belgium","We currently require the services of a Senior Technical Lead (Splunk) to work for a well respected client based in Belgium + +This is a 12 Month Contract, + +Senior Technical Lead (Splunk) /Splunk Consultant + +Essential Skills Required: + +Experience as a hands on Splunk consultant +Experience working with the business to develop use cases and config searches in Enterprise Security interactively sharing screen in groups etc. +Able to manage stakeholder in a challenging environment. +Splunk Certified Professional Service qualified consultant (or equivalent) +Extensive Security Background working in/with a SOC to analyse security alert +Familiar with wide range of security Tools + +Preferable Skills: + +Familiar with wide range of security Tools +Experience of working in Big Organisations + +Only candidates from EU memebers should apply as EU Security clearance is required . george.diangelo@regensolutions.co.uk + +Show more ","
    + + + + + +
    +
    +

    We currently require the services of a Senior Technical Lead (Splunk) to work for a well respected client based in Belgium

    This is a 12 Month Contract,

    Senior Technical Lead (Splunk) /Splunk Consultant

    Essential Skills Required:

    • Experience as a hands on Splunk consultant
    • Experience working with the business to develop use cases and config searches in Enterprise Security interactively sharing screen in groups etc.
    • Able to manage stakeholder in a challenging environment.
    • Splunk Certified Professional Service qualified consultant (or equivalent)
    • Extensive Security Background working in/with a SOC to analyse security alert
    • Familiar with wide range of security Tools

    Preferable Skills:

    • Familiar with wide range of security Tools
    • Experience of working in Big Organisations

    Only candidates from EU memebers should apply as EU Security clearance is required . george.diangelo@regensolutions.co.uk

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-25,[] +3995251699,https://be.linkedin.com/jobs/view/full-stack-engineer-at-crypdefi-3995251699?position=3&pageNum=7&refId=U7Acnhq2MwSwoo%2Bg3xTVLQ%3D%3D&trackingId=Qov8qqmCvfvf%2BnmVDWwYrw%3D%3D&trk=public_jobs_jserp-result_search-card,Full Stack Engineer,CrypDefi,"Brussels, Brussels Region, Belgium","About the Company + +CrypDefi is a secure gateway platform between custody & DeFi. It enables companies to instantly capture alpha on new chains or DeFi, without any counterparty risk. CrypDefi immediately integrates all major custodians with brand-new DeFi, and facilitates asset bridging across wallets & chains. It signs transactions for any chain, and supports new ones within a week. + + + + +What we're building + +A middleware layer that interacts through API calls with all the big crypto custodian platforms (Fireblocks, ForDefi, BitGo, Copper, …). +A frontend, single-pane-of-glass visualization offering a complete overview of our client's assets, transactions, usage, … +Our own MPC & high-frequency omni-chain signing solution. +Automation flows to seamlessly create wallets, move assets between wallets, transfer funds across custodians, bridge assets across chains, … + + + + +What we look for in you + +You're passionate about writing code, and have at least 2 years of experience in 2 of the following tech stacks: Golang, C++, React, Next.js, Rust, Kubernetes. If you're an amazing code wizard in another language, please let us know! +You're an enthusiastic person with a 'can do' mind-set. Challenges don't scare you, but 100% excite you! +You're proactive & self-driven to work in remote environments and deliver. However, always welcome at our office in Brussels. +You appreciate candid feedback & direct communication. Of course, this goes both ways, and we will be more than happy to also learn from you! +You're able to think along our vision, identify potential gaps & build solutions. We're not looking for someone who just completes tasks, rather someone who can take ownership & responsibility of their own stream, build it and help us reach our goals. +You can pivot on the fly. Crypto evolves all the time, and so can our priorities. What you've worked on in the past might not be what you will be working on tomorrow. You're not looking for a boring job; this excites you. +You embrace the startup lifestyle and have a work hard play hard mentality. You're able to see bigger picture and are willing to go the extra mile. +You're a winner. + +Bonus: + +You're a front-end god with knowledge on design and UX. + + + + +What we offer + +Salary: the salary range will be determined throughout the interview process depending on experience and skills. +Stock options: as a startup, we want to give you ownership of the company to make sure our goals are yours as well. +Remote working possibility: although we prefer candidates that are able to meet in Brussels at least every once in a while, we are open to discuss. +Rapid learning & growth: every day will be different, and as one of our first employees you'll have every chance to grow with the company. +Stellar team: the opportunity to work with 3 top-of-the-class engineers from Belgium, with contacts & investing execs from major industry players. +Show more ","
    + + + + + +
    +
    +

    About the Company

    CrypDefi is a secure gateway platform between custody & DeFi. It enables companies to instantly capture alpha on new chains or DeFi, without any counterparty risk. CrypDefi immediately integrates all major custodians with brand-new DeFi, and facilitates asset bridging across wallets & chains. It signs transactions for any chain, and supports new ones within a week.


    What we're building

    • A middleware layer that interacts through API calls with all the big crypto custodian platforms (Fireblocks, ForDefi, BitGo, Copper, …).
    • A frontend, single-pane-of-glass visualization offering a complete overview of our client's assets, transactions, usage, …
    • Our own MPC & high-frequency omni-chain signing solution.
    • Automation flows to seamlessly create wallets, move assets between wallets, transfer funds across custodians, bridge assets across chains, …


    What we look for in you

    • You're passionate about writing code, and have at least 2 years of experience in 2 of the following tech stacks: Golang, C++, React, Next.js, Rust, Kubernetes. If you're an amazing code wizard in another language, please let us know!
    • You're an enthusiastic person with a 'can do' mind-set. Challenges don't scare you, but 100% excite you!
    • You're proactive & self-driven to work in remote environments and deliver. However, always welcome at our office in Brussels.
    • You appreciate candid feedback & direct communication. Of course, this goes both ways, and we will be more than happy to also learn from you!
    • You're able to think along our vision, identify potential gaps & build solutions. We're not looking for someone who just completes tasks, rather someone who can take ownership & responsibility of their own stream, build it and help us reach our goals.
    • You can pivot on the fly. Crypto evolves all the time, and so can our priorities. What you've worked on in the past might not be what you will be working on tomorrow. You're not looking for a boring job; this excites you.
    • You embrace the startup lifestyle and have a work hard play hard mentality. You're able to see bigger picture and are willing to go the extra mile.
    • You're a winner.

    Bonus:

    • You're a front-end god with knowledge on design and UX.


    What we offer

    • Salary: the salary range will be determined throughout the interview process depending on experience and skills.
    • Stock options: as a startup, we want to give you ownership of the company to make sure our goals are yours as well.
    • Remote working possibility: although we prefer candidates that are able to meet in Brussels at least every once in a while, we are open to discuss.
    • Rapid learning & growth: every day will be different, and as one of our first employees you'll have every chance to grow with the company.
    • Stellar team: the opportunity to work with 3 top-of-the-class engineers from Belgium, with contacts & investing execs from major industry players.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +4001667695,https://be.linkedin.com/jobs/view/java-kotlin-developer-at-axians-belgium-4001667695?position=4&pageNum=7&refId=U7Acnhq2MwSwoo%2Bg3xTVLQ%3D%3D&trackingId=SGqYr8vSeCYZz5oElov1YQ%3D%3D&trk=public_jobs_jserp-result_search-card,Java / Kotlin developer,Axians Belgium,"Evere, Brussels Region, Belgium","Java/Kotlin-minded en op zoek naar een job in software development? + +Bij ons bouw jij mee aan uitdagende projecten in Industry, E-Learning & Healthcare, gebruikmakende van innovative technologieën, zoals Internet Of Things, Machine Learning, AgriTech, Smart Health Solutions, enz. + + + + +Kom terecht in een sprankelend team waar jij jezelf volledig kunt ontplooien! Druk mee je stempel op onze organisatie en onze way-of-working. + + + + +Je functie + + + + +Ontwerp en ontwikkel complexe Java/Kotlin web applicaties op maat van de klant +We geloven er sterk in dat pair programming de manier is om echt samen te werken met collega's +Werk remote, vanuit ons kantoor in Merelbeke of on-site bij klanten in West- en Oost-Vlaanderen +Streef naar kwaliteit en stabiliteit van je gemaakte front-end en/of back-end applicaties, hiervoor gebruik je graag TDD +Indien gewenst combineer je development met contact met de klant, team coaching, pre-sales, functionele en business analyse, data analytics, ... + + + + +Profiel + + + + +Veel goesting en goeie dosis humor +Bachelor of master diploma in een ICT-richting +Gedreven om wat nieuw is in onze dynamische software industrie te blijven bijleren +Je hebt reeds enkele jaren professionele ervaring in de Software Industrie +Ervaring met frameworks zoals Spring Boot, Vue.js is een troef +Voordeel als je kennis hebt van en/of ervaring hebt in: SQL, NoSQL, Docker, Gradle, Webpack, Reactive programming, … +Je communiceert vlot in het Nederlands en Engels + + + + +VINCI Energies wil een inclusieve werkgever zijn, een plek waar iedereen zich goed voelt, waar iedereen gelijke kansen krijgt, ongeacht geslacht, gender of cultuur. + +Alle zij's, die's en hij's hebben het recht om te zijn wie ze zijn en moeten de kans krijgen om zich ten volle te ontplooien. Wij zien diversiteit als een sterkte en het is onze basis voor duurzaam ondernemen. Daarom staan onze vacatures open voor iedereen die voldoet aan de competenties zoals omschreven in de jobomschrijving. + + + + +Waarom ons vervoegen? + + + + +Je start in het team van Axians Business Applications. + +Door de vlakke structuur slagen we erin om een cultuur te onderhouden waar medewerkers centraal staan en waar collega's elke dag voor en met elkaar het beste van zichzelf kunnen geven. + +We zetten in op verbinding tussen collega's zodat ze betrokken blijven bij het reilen en zeilen van Business Applications, bv door laagdremplige kennisdeling over alle teams heen via bv lean coffee en lunch & learn sessies. + +Omdat het niet altijd over bv. NoSQL en GraphQL hoeft te gaan, organiseren we op frequente basis activiteiten zoals boardgame nights, highland games, ... en zelfs onze eigen Axians-masked singer wedstrijd B-) + +Bij Business Applications kunnen we dus enkel vooruit gaan als we allemaal samen vooruit gaan. + + + + +Onze organisatie + + + + +Axians maakt deel uit van de sterke groep VINCI Energies +Teamwerk, organisatiebetrokkenheid en zelfontwikkeling +Variatie door verschillende klanten en activiteiten +Opleiding op maat om je start optimaal te begeleiden +Duidelijke loopbaanpaden met zicht op je toekomst en doorgroeimogelijkheden +Een marktconform brutoloon, aangevuld met firmawagen, hospitalisatie- en groepsverzekering, maaltijd- en ecocheques, gsm-abonnement, collectieve bonus, mogelijkheid tot voordelig aankopen van VINCI-aandelen, etc. +Een gedreven én waarden-gedreven organisatie met oog voor mens & maatschappij +Tal van initiatieven rond kennisdeling, sportieve/culturele/familiale activiteiten. +Mogelijkheid tot thuiswerk + +Show more ","
    + + + + + +
    +
    +

    Java/Kotlin-minded en op zoek naar een job in software development?

    Bij ons bouw jij mee aan uitdagende projecten in Industry, E-Learning & Healthcare, gebruikmakende van innovative technologieën, zoals Internet Of Things, Machine Learning, AgriTech, Smart Health Solutions, enz.


    Kom terecht in een sprankelend team waar jij jezelf volledig kunt ontplooien! Druk mee je stempel op onze organisatie en onze way-of-working.


    Je functie


    • Ontwerp en ontwikkel complexe Java/Kotlin web applicaties op maat van de klant
    • We geloven er sterk in dat pair programming de manier is om echt samen te werken met collega's
    • Werk remote, vanuit ons kantoor in Merelbeke of on-site bij klanten in West- en Oost-Vlaanderen
    • Streef naar kwaliteit en stabiliteit van je gemaakte front-end en/of back-end applicaties, hiervoor gebruik je graag TDD
    • Indien gewenst combineer je development met contact met de klant, team coaching, pre-sales, functionele en business analyse, data analytics, ...


    Profiel


    • Veel goesting en goeie dosis humor
    • Bachelor of master diploma in een ICT-richting
    • Gedreven om wat nieuw is in onze dynamische software industrie te blijven bijleren
    • Je hebt reeds enkele jaren professionele ervaring in de Software Industrie
    • Ervaring met frameworks zoals Spring Boot, Vue.js is een troef
    • Voordeel als je kennis hebt van en/of ervaring hebt in: SQL, NoSQL, Docker, Gradle, Webpack, Reactive programming, …
    • Je communiceert vlot in het Nederlands en Engels


    VINCI Energies wil een inclusieve werkgever zijn, een plek waar iedereen zich goed voelt, waar iedereen gelijke kansen krijgt, ongeacht geslacht, gender of cultuur.

    Alle zij's, die's en hij's hebben het recht om te zijn wie ze zijn en moeten de kans krijgen om zich ten volle te ontplooien. Wij zien diversiteit als een sterkte en het is onze basis voor duurzaam ondernemen. Daarom staan onze vacatures open voor iedereen die voldoet aan de competenties zoals omschreven in de jobomschrijving.


    Waarom ons vervoegen?


    Je start in het team van Axians Business Applications.

    Door de vlakke structuur slagen we erin om een cultuur te onderhouden waar medewerkers centraal staan en waar collega's elke dag voor en met elkaar het beste van zichzelf kunnen geven.

    We zetten in op verbinding tussen collega's zodat ze betrokken blijven bij het reilen en zeilen van Business Applications, bv door laagdremplige kennisdeling over alle teams heen via bv lean coffee en lunch & learn sessies.

    Omdat het niet altijd over bv. NoSQL en GraphQL hoeft te gaan, organiseren we op frequente basis activiteiten zoals boardgame nights, highland games, ... en zelfs onze eigen Axians-masked singer wedstrijd B-)

    Bij Business Applications kunnen we dus enkel vooruit gaan als we allemaal samen vooruit gaan.


    Onze organisatie


    • Axians maakt deel uit van de sterke groep VINCI Energies
    • Teamwerk, organisatiebetrokkenheid en zelfontwikkeling
    • Variatie door verschillende klanten en activiteiten
    • Opleiding op maat om je start optimaal te begeleiden
    • Duidelijke loopbaanpaden met zicht op je toekomst en doorgroeimogelijkheden
    • Een marktconform brutoloon, aangevuld met firmawagen, hospitalisatie- en groepsverzekering, maaltijd- en ecocheques, gsm-abonnement, collectieve bonus, mogelijkheid tot voordelig aankopen van VINCI-aandelen, etc.
    • Een gedreven én waarden-gedreven organisatie met oog voor mens & maatschappij
    • Tal van initiatieven rond kennisdeling, sportieve/culturele/familiale activiteiten.
    • Mogelijkheid tot thuiswerk

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +4005023808,https://be.linkedin.com/jobs/view/react-native-developer-at-mayten-4005023808?position=6&pageNum=7&refId=U7Acnhq2MwSwoo%2Bg3xTVLQ%3D%3D&trackingId=qzb9wudpQB0v6VBtkii5WA%3D%3D&trk=public_jobs_jserp-result_search-card,React Native Developer,Mayten,"Brussels, Brussels Region, Belgium","Job description + +We are seeking a skilled and experienced React Native Developer to join our growing team at Mayten, a mobility technology company based in Brussels. In this role, you will be responsible for developing and maintaining our mobile applications using React Native. You will collaborate with cross-functional teams to deliver high-quality, user-friendly mobile experiences. + + + + +Responsibilities: + +Develop and maintain mobile applications for shared micromobility using React Native +Collaborate with product managers, designers, and backend developers to deliver high-quality mobile experiences +Write clean, efficient, and reusable code +Troubleshoot and debug issues, and propose solutions to improve the performance and usability of the applications +Stay up to date with the latest trends and best practices in mobile development + + + + +Qualifications: + +Strong proficiency in React Native and JavaScript with at least 3yrs of experience in React Native +Experience building mobile applications for iOS and Android platforms +Familiarity with native build tools, like Xcode, Android Studio, and Gradle +Understanding of RESTful APIs and integration of backend services +Knowledge of version control systems, such as Git +Excellent problem-solving and debugging skills + + + + +If you are a skilledReact Native Developer with a passion for delivering high-quality mobile experiences, we encourage you to apply for this exciting opportunity at Mayten. + +Show more ","
    + + + + + +
    +
    +

    Job description

    We are seeking a skilled and experienced React Native Developer to join our growing team at Mayten, a mobility technology company based in Brussels. In this role, you will be responsible for developing and maintaining our mobile applications using React Native. You will collaborate with cross-functional teams to deliver high-quality, user-friendly mobile experiences.


    Responsibilities:

    • Develop and maintain mobile applications for shared micromobility using React Native
    • Collaborate with product managers, designers, and backend developers to deliver high-quality mobile experiences
    • Write clean, efficient, and reusable code
    • Troubleshoot and debug issues, and propose solutions to improve the performance and usability of the applications
    • Stay up to date with the latest trends and best practices in mobile development


    Qualifications:

    • Strong proficiency in React Native and JavaScript with at least 3yrs of experience in React Native
    • Experience building mobile applications for iOS and Android platforms
    • Familiarity with native build tools, like Xcode, Android Studio, and Gradle
    • Understanding of RESTful APIs and integration of backend services
    • Knowledge of version control systems, such as Git
    • Excellent problem-solving and debugging skills


    If you are a skilledReact Native Developer with a passion for delivering high-quality mobile experiences, we encourage you to apply for this exciting opportunity at Mayten.

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    ",2024-08-22,[] +3922804951,https://be.linkedin.com/jobs/view/software-developer-at-alten-belgium-3922804951?position=7&pageNum=7&refId=U7Acnhq2MwSwoo%2Bg3xTVLQ%3D%3D&trackingId=RLTidtqL4xLDj6XTrYQzcg%3D%3D&trk=public_jobs_jserp-result_search-card,Software Developer,ALTEN Belgium,"Brussels, Brussels Region, Belgium","About the company + + + + +ALTEN Belgium is a leading consultancy company in the fields of Engineering, Life Science and IT in which our people and clients are central. + +In our open and adaptable organization, we get the best out of our ambitious employees enabling them to perform optimally. We do this by offering them the most challenging projects, but also to continuously acquire new expertise to boost their careers. This can be done with the help of our ALTEN Academy, but also through our knowledge sharing events. + +All employees together form a large network of expertise, even at an international level. In this way we offer optimal growth to our consultants and the best solutions for our customers. + + + + +About the job + + + + +We are looking for motivated Software Developers to join our team of talented consultants working on challenging projects. As an ALTEN consultant, you will have the opportunity to be part of the following activities : + + + + +Analyze, document, and implement changes in the software modules +Create technical documentation for the software modules +Execute and document the test for the software modules +Analyze blueprint and understand customers' requirements +Discuss about workarounds when needed +Investigate on issues logged from the customer +Share experience and knowledge through weekly technical meetings +Document each customization made + + + + +About you + + + + +You have at least 2 years of experience in software development or software engineering +You have a Bachelors or Masters degree in engineering or IT, specialized in computer science, information technology, or equivalent +You are fluent in English and French or Dutch +You have proven experience in Java or C# (Object Oriented Programming languages) +You also have knowledge in some of these languages : Javascript, Spring boot, Hibernate, MySQL / PostgreSQL / SQL Server, AngularJs, NodeJs, Python, C, C++, Jenkins, Docker, Entity Framework, Linq +You have experience in, or knowledge of the Agile environment +You have analytical and problem-solving skills +You are a teamplayer, logical and organized + + + + +If you see yourself while reading these requirements, don't hesitate to apply, you might be our next software developer! + +Show more ","
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    +

    About the company


    ALTEN Belgium is a leading consultancy company in the fields of Engineering, Life Science and IT in which our people and clients are central.

    In our open and adaptable organization, we get the best out of our ambitious employees enabling them to perform optimally. We do this by offering them the most challenging projects, but also to continuously acquire new expertise to boost their careers. This can be done with the help of our ALTEN Academy, but also through our knowledge sharing events.

    All employees together form a large network of expertise, even at an international level. In this way we offer optimal growth to our consultants and the best solutions for our customers.


    About the job


    We are looking for motivated Software Developers to join our team of talented consultants working on challenging projects. As an ALTEN consultant, you will have the opportunity to be part of the following activities :


    • Analyze, document, and implement changes in the software modules
    • Create technical documentation for the software modules
    • Execute and document the test for the software modules
    • Analyze blueprint and understand customers' requirements
    • Discuss about workarounds when needed
    • Investigate on issues logged from the customer
    • Share experience and knowledge through weekly technical meetings
    • Document each customization made


    About you


    • You have at least 2 years of experience in software development or software engineering
    • You have a Bachelors or Masters degree in engineering or IT, specialized in computer science, information technology, or equivalent
    • You are fluent in English and French or Dutch
    • You have proven experience in Java or C# (Object Oriented Programming languages)
    • You also have knowledge in some of these languages : Javascript, Spring boot, Hibernate, MySQL / PostgreSQL / SQL Server, AngularJs, NodeJs, Python, C, C++, Jenkins, Docker, Entity Framework, Linq
    • You have experience in, or knowledge of the Agile environment
    • You have analytical and problem-solving skills
    • You are a teamplayer, logical and organized


    If you see yourself while reading these requirements, don't hesitate to apply, you might be our next software developer!

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    ",2024-07-29,[] +4004623285,https://ch.linkedin.com/jobs/view/nlp-data-scientist-at-artidis-4004623285?position=1&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=G%2FDf6d79o6%2FQ2ZUiiXVkYw%3D%3D&trk=public_jobs_jserp-result_search-card,NLP Data Scientist,ARTIDIS,"Basel, Basel, Switzerland","About ARTIDIS + +ARTIDIS AG is a clinical-stage health-tech start-up founded in Basel, Switzerland that has developed the first nanomechanical biomarker for cancer diagnosis and treatment optimization. The ARTIDIS nanotechnology platform integrates different types of clinical data into the ARTIDISNET digital platform, allowing physicians to significantly shorten the current diagnostic process and benefit both the patient and the healthcare system. ARTIDIS enables professionals to design personalized cancer treatment plans tailored to individual patients' needs and desired outcomes. + +Job Purpose + +ARTIDIS is changing the way cancer is diagnosed and treated. As a member of our team, you will have the opportunity to create products that will assist doctors, clinicians, nurses and patients in conducting clinical studies and providing better healthcare. An NLP Data Scientist at ARTIDIS is expected to communicate and understand customer requirements. + +As an NLP Data Scientist, you’ll be tasked to develop, deploy, and NLP models on a medical device and in the cloud. + +Duties And Responsibilities + +Develop, productionize, maintain, and improve NLP pipelines and NLP models for PHI redaction and medical text extraction using classical text analytics and deep learning NLP techniques. + +Qualifications + + +Strong programming skills in Python, especially in object-oriented programming (OOP). +Experience with the Python data stack (NumPy, pandas, scikit-learn, PyTorch). +Familiarity with NLP libraries (e.g., LangChain, Hugging Face). +Experience with classical NLP techniques (tokenization, part-of-speech tagging, named entity recognition, PII detection, Information extraction). +Writing documented, clear and efficient code. +Understanding how to use version control systems for code, data and models. +Ability to design and implement requirements with long-term objectives in mind. +High level of expression and comprehension of the English language. +Proactive way of thinking, communicating and working. +Ability to work independently. + + +Nice To Haves + + +Understanding of MLOps and putting pipelines into production (containerization, API creation) +Understanding regulations in the medical device and software fields (and their relevance to machine learning) +Experience with OCR libraries + + +Working Conditions + +The environment is a typical start-up with an intrinsically motivated international team. Our company is an excellent place for rapid advancement and offers a promising opportunity to learn and share know-how in a very agile environment. The position requires the employee to go the extra mile when needed. We are looking for a team player who appreciates direct communication. The effort is rewarded with challenging tasks, the possibility to take responsibility, a highly driven team and work serving a significant purpose. The job position comes with a competitive salary and a bonus for outstanding performance. +Show more ","
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    +
    + About ARTIDIS

    ARTIDIS AG is a clinical-stage health-tech start-up founded in Basel, Switzerland that has developed the first nanomechanical biomarker for cancer diagnosis and treatment optimization. The ARTIDIS nanotechnology platform integrates different types of clinical data into the ARTIDISNET digital platform, allowing physicians to significantly shorten the current diagnostic process and benefit both the patient and the healthcare system. ARTIDIS enables professionals to design personalized cancer treatment plans tailored to individual patients' needs and desired outcomes.

    Job Purpose

    ARTIDIS is changing the way cancer is diagnosed and treated. As a member of our team, you will have the opportunity to create products that will assist doctors, clinicians, nurses and patients in conducting clinical studies and providing better healthcare. An NLP Data Scientist at ARTIDIS is expected to communicate and understand customer requirements.

    As an NLP Data Scientist, you’ll be tasked to develop, deploy, and NLP models on a medical device and in the cloud.

    Duties And Responsibilities

    Develop, productionize, maintain, and improve NLP pipelines and NLP models for PHI redaction and medical text extraction using classical text analytics and deep learning NLP techniques.

    Qualifications

    • Strong programming skills in Python, especially in object-oriented programming (OOP).
    • Experience with the Python data stack (NumPy, pandas, scikit-learn, PyTorch).
    • Familiarity with NLP libraries (e.g., LangChain, Hugging Face).
    • Experience with classical NLP techniques (tokenization, part-of-speech tagging, named entity recognition, PII detection, Information extraction).
    • Writing documented, clear and efficient code.
    • Understanding how to use version control systems for code, data and models.
    • Ability to design and implement requirements with long-term objectives in mind.
    • High level of expression and comprehension of the English language.
    • Proactive way of thinking, communicating and working.
    • Ability to work independently.

    Nice To Haves

    • Understanding of MLOps and putting pipelines into production (containerization, API creation)
    • Understanding regulations in the medical device and software fields (and their relevance to machine learning)
    • Experience with OCR libraries

    Working Conditions

    The environment is a typical start-up with an intrinsically motivated international team. Our company is an excellent place for rapid advancement and offers a promising opportunity to learn and share know-how in a very agile environment. The position requires the employee to go the extra mile when needed. We are looking for a team player who appreciates direct communication. The effort is rewarded with challenging tasks, the possibility to take responsibility, a highly driven team and work serving a significant purpose. The job position comes with a competitive salary and a bonus for outstanding performance. +
    + + + + + + + + + + + + + + + + + + +
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    ",2024-08-20,[] +3997313348,https://ch.linkedin.com/jobs/view/data-scientist-optimization-specialist-at-axa-group-operations-3997313348?position=2&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=UXEvyi8UixrLLh8TiJwcMA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist / Optimization Specialist,AXA Group Operations,"Lausanne, Vaud, Switzerland","We are seeking a Data Scientist / Optimization Specialist to join our team. The ideal candidate will be an expert in optimization/operational-research and high-performance, with the ability to address complex business problems using mathematical optimization or machine learning techniques. They will play a crucial role in translating business challenges into mathematical optimization problems and then developing innovative computational solutions. We expect you to be autonomous and able to learn (methodologies, technologies, domains) and adapt to a fast-moving environment. + + + + +Key Responsibilities: + +Identify and articulate business problems that can be addressed through optimization, by collaborating with cross-functional teams. +Develop and implement mathematical models to optimize business processes and decision-making. +Develop and implement computational efficient solutions. +When necessary, utilize high-performance computing infrastructures to analyze and solve optimization problems efficiently. +While not mandatory, familiarity with quantum computing is a plus, as the candidate should be capable of understanding and modeling problems in a compatible ""canonic"" form – to make the solutions quantum ready, when relevant. +While not mandatory, experience in insurance and/or financial services (on topics such as advanced pricing, underwriting, reserving, or reinsurance) will be considered highly valuable. + + + + + + + +Qualifications: + +Advanced degree in optimization, operational-research, mathematics, computer science, or a related field OR an actuarial degree. +Proven experience in applying optimization and operational research techniques to real-world business challenges. +Proficiency in programming languages such as C, C++ or Cuda, but also Python. +Flexibility and Growth Mindset: We are seeking individuals who thrive in a dynamic and evolving environment, where learning and embracing new challenges are essential. The ideal candidates should demonstrate a strong willingness to continuously expand their knowledge, adapt to new technologies, and take on diverse and evolving responsibilities. +Strong analytical and problem-solving skills. +Excellent communication and collaboration abilities. +Languages: English (mandatory) and French (appreciated). + +Show more ","
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    +

    We are seeking a Data Scientist / Optimization Specialist to join our team. The ideal candidate will be an expert in optimization/operational-research and high-performance, with the ability to address complex business problems using mathematical optimization or machine learning techniques. They will play a crucial role in translating business challenges into mathematical optimization problems and then developing innovative computational solutions. We expect you to be autonomous and able to learn (methodologies, technologies, domains) and adapt to a fast-moving environment.


    Key Responsibilities:

    1. Identify and articulate business problems that can be addressed through optimization, by collaborating with cross-functional teams.
    2. Develop and implement mathematical models to optimize business processes and decision-making.
    3. Develop and implement computational efficient solutions.
    4. When necessary, utilize high-performance computing infrastructures to analyze and solve optimization problems efficiently.
    5. While not mandatory, familiarity with quantum computing is a plus, as the candidate should be capable of understanding and modeling problems in a compatible ""canonic"" form – to make the solutions quantum ready, when relevant.
    6. While not mandatory, experience in insurance and/or financial services (on topics such as advanced pricing, underwriting, reserving, or reinsurance) will be considered highly valuable.



    Qualifications:

    1. Advanced degree in optimization, operational-research, mathematics, computer science, or a related field OR an actuarial degree.
    2. Proven experience in applying optimization and operational research techniques to real-world business challenges.
    3. Proficiency in programming languages such as C, C++ or Cuda, but also Python.
    4. Flexibility and Growth Mindset: We are seeking individuals who thrive in a dynamic and evolving environment, where learning and embracing new challenges are essential. The ideal candidates should demonstrate a strong willingness to continuously expand their knowledge, adapt to new technologies, and take on diverse and evolving responsibilities.
    5. Strong analytical and problem-solving skills.
    6. Excellent communication and collaboration abilities.
    7. Languages: English (mandatory) and French (appreciated).

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    ",2024-08-09,[] +3981809473,https://ch.linkedin.com/jobs/view/machine-learning-engineer-at-venchr-3981809473?position=3&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=RsouU0BUt856UNDdahoS2A%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Venchr,"Zurich, Switzerland","Machine Learning Engineer - Decarbonising Real Estate - ₣110k + Shares - Brilliant Climate-Tech Start-Up - Hybrid + + + + +One of Europe's most innovative Climate-Tech Start-Ups (Winner of the 2024 Tech of the Year Award) has created groundbreaking technology to move beyond the era of dirty buildings and bring Net Zero Real Estate closer to reality. + + + + +We are looking for a tech-passionate & bright Machine Learning Engineer who wants to put their skills towards addressing climate change & making a big difference. A team of some of the brightest minds in Europe, from 9 different countries, we embrace a fantastic culture and truly value hard work. + + + + +We are a fast-growing startup with a mission to decarbonise real estate - with backing from world-leading Climate-Tech VC's and Innovation Endeavors (San Francisco – fund of former Google CEO Eric Schmidt). + + + + +What you'll do: + + + + +Participate in the enhancement of our decision-making models. +Create and design predictive models for constructing signals. +Conceive new methods for extracting and combining publicly accessible data. Guide the product's direction and data partnerships. +Devise innovative solutions to address our customers' issues. +Manage the entire development process: from specifications to production implementation. Work with colleagues on architecture, design, and code reviews. + + + + +Who we are seeking: + + + + +Highly Self-Motivated: You can efficiently and promptly carry out tasks, demonstrating strong initiative and self-drive. +You Get Things Done: You prioritize speed and flexibility, adept at making swift compromises to maintain momentum, while delivering quality results. +Lateral thinker: You regularly step back to look at the broader picture. Changing the problem is sometimes faster and better than investing two weeks in a fancy ML model. +Analytical and Self-Reflective: You analyze your performance and continuously seek ways to improve. +Compassionate and Humorous: You bring kindness and humor to the team, enhancing both morale and collaboration. + + + + +Essential requirements: + + + + +MSc in Computer Science, Math, Physics or equivalent. +Broad algorithmic knowledge: dynamic programming, graphs algorithms, data structures, etc. +Broad ML knowledge: convex optimization, supervised learning, unsupervised learning, etc. Outstanding programming skills (Python, C++, C). +Ability to contribute individually and in teams. +Excellent written and verbal communication skills in English. +Swiss or EU citizenship (unfortunately due to size, we can’t support non-EU). + + + + +Desirable qualifications + + + + +2+ years of professional experience in software development or data science. +Broad financial/real estate knowledge. +Experience with cloud products (GCP or AWS). + + + + +Benefits: + + + + +Significant impact on the product and strategy from the start. +Continuous learning opportunities in a growth-focused culture. +CHF 1k learning and development budget for conferences and certifications. +100% coverage of non-occupational accident insurance (UVG). +25 days of paid vacation and flexible parental leave. +Mainly based in our Zürich office, with some remote work and flexible hours available. + + + + +Venchr is an equal-opportunity employer. We do not discriminate based on age, disability, gender reassignment, marriage and civil partnership, pregnancy, race, religion or belief, sex, or sexual orientation. All applicants will receive consideration for employment based on their talent, skillset and individual merit alone. + +Show more ","
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    +
    +

    Machine Learning Engineer - Decarbonising Real Estate - ₣110k + Shares - Brilliant Climate-Tech Start-Up - Hybrid


    One of Europe's most innovative Climate-Tech Start-Ups (Winner of the 2024 Tech of the Year Award) has created groundbreaking technology to move beyond the era of dirty buildings and bring Net Zero Real Estate closer to reality.


    We are looking for a tech-passionate & bright Machine Learning Engineer who wants to put their skills towards addressing climate change & making a big difference. A team of some of the brightest minds in Europe, from 9 different countries, we embrace a fantastic culture and truly value hard work.


    We are a fast-growing startup with a mission to decarbonise real estate - with backing from world-leading Climate-Tech VC's and Innovation Endeavors (San Francisco – fund of former Google CEO Eric Schmidt).


    What you'll do:


    • Participate in the enhancement of our decision-making models.
    • Create and design predictive models for constructing signals.
    • Conceive new methods for extracting and combining publicly accessible data. Guide the product's direction and data partnerships.
    • Devise innovative solutions to address our customers' issues.
    • Manage the entire development process: from specifications to production implementation. Work with colleagues on architecture, design, and code reviews.


    Who we are seeking:


    • Highly Self-Motivated: You can efficiently and promptly carry out tasks, demonstrating strong initiative and self-drive.
    • You Get Things Done: You prioritize speed and flexibility, adept at making swift compromises to maintain momentum, while delivering quality results.
    • Lateral thinker: You regularly step back to look at the broader picture. Changing the problem is sometimes faster and better than investing two weeks in a fancy ML model.
    • Analytical and Self-Reflective: You analyze your performance and continuously seek ways to improve.
    • Compassionate and Humorous: You bring kindness and humor to the team, enhancing both morale and collaboration.


    Essential requirements:


    • MSc in Computer Science, Math, Physics or equivalent.
    • Broad algorithmic knowledge: dynamic programming, graphs algorithms, data structures, etc.
    • Broad ML knowledge: convex optimization, supervised learning, unsupervised learning, etc. Outstanding programming skills (Python, C++, C).
    • Ability to contribute individually and in teams.
    • Excellent written and verbal communication skills in English.
    • Swiss or EU citizenship (unfortunately due to size, we can’t support non-EU).


    Desirable qualifications


    • 2+ years of professional experience in software development or data science.
    • Broad financial/real estate knowledge.
    • Experience with cloud products (GCP or AWS).


    Benefits:


    • Significant impact on the product and strategy from the start.
    • Continuous learning opportunities in a growth-focused culture.
    • CHF 1k learning and development budget for conferences and certifications.
    • 100% coverage of non-occupational accident insurance (UVG).
    • 25 days of paid vacation and flexible parental leave.
    • Mainly based in our Zürich office, with some remote work and flexible hours available.


    Venchr is an equal-opportunity employer. We do not discriminate based on age, disability, gender reassignment, marriage and civil partnership, pregnancy, race, religion or belief, sex, or sexual orientation. All applicants will receive consideration for employment based on their talent, skillset and individual merit alone.

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    ",2024-08-12,[] +3873235875,https://ch.linkedin.com/jobs/view/deep-learning-engineer-at-open-search-network-3873235875?position=5&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=hXCP%2FjTq8QqD4hMob3Qd%2Bg%3D%3D&trk=public_jobs_jserp-result_search-card,Deep Learning Engineer,Open Search Network,"Lugano, Ticino, Switzerland","Our client is an international group active in several areas, including power production and trading, renewable energy sources, electricity supply products. With the support from Open Search Network they are looking to hire on a permanent basis: + + + + +Deep Learning Engineer + +(Lugano, Switzerland) + + + + +Company: End User / Energy + +Experience: 3+ years working experience + +Skills: Python, Machine Learning, NLP + + + + + + + +Tasks + + + + +Develop, implement, and optimize cutting-edge deep learning models for various applications, including computer vision, natural language processing, and more +Seamlessly integrate open-source deep learning models and libraries into your projects +Utilize transfer learning and fine-tuning techniques to effectively leverage pre-trained models +Deploy models into production environments, ensuring scalability and peak efficiency +Proactively scout and evaluate emerging technologies that can be leveraged within the company's operations +Dedicate a portion of your work to general data science tasks and projects + + + + +Qualifications + + + + +A Ph.D. degree in Computer Science, Machine Learning, or a related field +Demonstrated expertise in developing and optimizing deep learning models +Hands-on experience with open-source deep learning frameworks and libraries, such as TensorFlow and PyTorch +Proficiency in Python and data science libraries, including pandas and scikit-learn +Strong familiarity with computer vision and/or natural language processing techniques +A deep understanding of transfer learning and the ability to apply it effectively +Proficiency in data science and statistics + + + + +Nice to have + + + + +Familiarity with deep reinforcement learning +Experience handling structured and unstructured data, data pipelines, ETL and data organization in databases, data warehouses, data lakes +Previous publications or notable contributions to the field of deep learning +Familiarity with cloud-based tools and services for model deployment and management + +Show more ","
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    +
    +

    Our client is an international group active in several areas, including power production and trading, renewable energy sources, electricity supply products. With the support from Open Search Network they are looking to hire on a permanent basis:


    Deep Learning Engineer

    (Lugano, Switzerland)


    Company: End User / Energy

    Experience: 3+ years working experience

    Skills: Python, Machine Learning, NLP



    Tasks


    • Develop, implement, and optimize cutting-edge deep learning models for various applications, including computer vision, natural language processing, and more
    • Seamlessly integrate open-source deep learning models and libraries into your projects
    • Utilize transfer learning and fine-tuning techniques to effectively leverage pre-trained models
    • Deploy models into production environments, ensuring scalability and peak efficiency
    • Proactively scout and evaluate emerging technologies that can be leveraged within the company's operations
    • Dedicate a portion of your work to general data science tasks and projects


    Qualifications


    • A Ph.D. degree in Computer Science, Machine Learning, or a related field
    • Demonstrated expertise in developing and optimizing deep learning models
    • Hands-on experience with open-source deep learning frameworks and libraries, such as TensorFlow and PyTorch
    • Proficiency in Python and data science libraries, including pandas and scikit-learn
    • Strong familiarity with computer vision and/or natural language processing techniques
    • A deep understanding of transfer learning and the ability to apply it effectively
    • Proficiency in data science and statistics


    Nice to have


    • Familiarity with deep reinforcement learning
    • Experience handling structured and unstructured data, data pipelines, ETL and data organization in databases, data warehouses, data lakes
    • Previous publications or notable contributions to the field of deep learning
    • Familiarity with cloud-based tools and services for model deployment and management

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    ",2024-08-19,[] +3982438204,https://ch.linkedin.com/jobs/view/data-scientist-at-k-recruiting-life-sciences-3982438204?position=6&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=kAJXKCW6XdmjLb58KxilYA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,K-Recruiting Life Sciences,"Basel, Switzerland","Data Scientist (M/F/D) + +Tasks: + +Ensure that scientific teams are enabled and supported to achieve their goals at data42 +Contributes to the acceleration of data science through activities such as the development of reusable pipelines for the data preparation and analyses +Develops frameworks for generation and reporting of key results, quality benchmarks for data, models, and impact in collaboration with our data scientist users. +Applies their expertise in machine learning, deep learning, data visualization and structured/unstructured data analytics towards the scientific goals of their team. +Acts as an advocate for good data science practice across data42 +Ensure that scientific teams are enabled and supported to achieve their goals at data42 +Contributes to the acceleration of data science through activities such as the development of reusable pipelines for the data preparation and analyses +Develops frameworks for generation and reporting of key results, quality benchmarks for data, models, and impact in collaboration with our data scientist users. +Applies their expertise in machine learning, deep learning, data visualization and structured/unstructured data analytics towards the scientific goals of their team. +Acts as an advocate for good data science practice across data42 + +Qualification: + +PhD in a quantitative / computational science (e.g. bioinformatics, engineering, machine learning, statistics, physics, mathematics, ...) +Languages: Fluent in English (oral and written) +At least 2 years of professional experience in the pharmaceutical sector +Experience with bioinformatics (around DNA / RNA / proteomics data analysis) and/or statistical genetics and/or biostatistics +Strong experience with R or python for data analysis and statistical modelling +Experience in using machine learning models to predict clinical endpoints using multimodal data +Experience with use of AI/GenAI/LLMs for automating or accelerating data- or data science related processes +Experience with the principles and tools of good data science practice (e.g git/versioning …). +Excellent communication and stakeholder management skills +Desirable additional skills in two or more of the following areas: +Knowledge of CDISC data standard (SDTM, ADaM), +Experience with pooling of clinical trial data +Understanding of the drug discovery and development process +Experience working in the field of Immunology or Cardiology/Renal/Metabolic diseases +Experience with computational environments for large-scale data science (e.g. high-performance computing or Spark), +Statistical and machine learning, and / or applied deep learning methods for time series data. +Experience in using the Foundry platform for data analysis + +Requirements: + +Start: 01.08.2024 + +Duration: 5 months + +Capacity: 5 days per week + +Location: Basel, Switzerland + +Show more ","
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    Data Scientist (M/F/D)

    Tasks:

    • Ensure that scientific teams are enabled and supported to achieve their goals at data42
    • Contributes to the acceleration of data science through activities such as the development of reusable pipelines for the data preparation and analyses
    • Develops frameworks for generation and reporting of key results, quality benchmarks for data, models, and impact in collaboration with our data scientist users.
    • Applies their expertise in machine learning, deep learning, data visualization and structured/unstructured data analytics towards the scientific goals of their team.
    • Acts as an advocate for good data science practice across data42
    • Ensure that scientific teams are enabled and supported to achieve their goals at data42
    • Contributes to the acceleration of data science through activities such as the development of reusable pipelines for the data preparation and analyses
    • Develops frameworks for generation and reporting of key results, quality benchmarks for data, models, and impact in collaboration with our data scientist users.
    • Applies their expertise in machine learning, deep learning, data visualization and structured/unstructured data analytics towards the scientific goals of their team.
    • Acts as an advocate for good data science practice across data42

    Qualification:

    • PhD in a quantitative / computational science (e.g. bioinformatics, engineering, machine learning, statistics, physics, mathematics, ...)
    • Languages: Fluent in English (oral and written)
    • At least 2 years of professional experience in the pharmaceutical sector
    • Experience with bioinformatics (around DNA / RNA / proteomics data analysis) and/or statistical genetics and/or biostatistics
    • Strong experience with R or python for data analysis and statistical modelling
    • Experience in using machine learning models to predict clinical endpoints using multimodal data
    • Experience with use of AI/GenAI/LLMs for automating or accelerating data- or data science related processes
    • Experience with the principles and tools of good data science practice (e.g git/versioning …).
    • Excellent communication and stakeholder management skills
    • Desirable additional skills in two or more of the following areas:
    • Knowledge of CDISC data standard (SDTM, ADaM),
    • Experience with pooling of clinical trial data
    • Understanding of the drug discovery and development process
    • Experience working in the field of Immunology or Cardiology/Renal/Metabolic diseases
    • Experience with computational environments for large-scale data science (e.g. high-performance computing or Spark),
    • Statistical and machine learning, and / or applied deep learning methods for time series data.
    • Experience in using the Foundry platform for data analysis

    Requirements:

    Start: 01.08.2024

    Duration: 5 months

    Capacity: 5 days per week

    Location: Basel, Switzerland

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-24,[] +3995791565,https://ch.linkedin.com/jobs/view/trading-data-scientist-at-totalenergies-3995791565?position=7&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=xrJjyPD7rm1hnCKlSYG5Yg%3D%3D&trk=public_jobs_jserp-result_search-card,Trading Data Scientist,TotalEnergies,"Geneva, Geneva, Switzerland","Profil du candidat + + +You are a master’s degree holder +You are a Digital native with strong analytical, quantitative and computing kills: data analytics, AI/machine learning, cloud computing, Power BI, Alteryx, R, Python, MongoDb … +You have a previous experience in commodity trading or in the energy industry. +You can work well in a team, but also autonomously and have strong communication skills, and the ability to convince. +English essential, other languages such as French are a strong advantage. +Location: Geneva +Desired start date: Q4 2024 + + + +At TotalEnergies, we believe that our employees’ fulfilment has its roots in the wealth of the experiences they are offered. We are an equal opportunity employer committed to respecting diversity and inclusion in the workplace. + +Applicants will receive consideration for employment without regard for race, color, gender, religion, national origin, disability, military status, age, marital status, sexual orientation, gender identity, genetic information or any other protected group status. + +Activités + +What You Will Do + +As a member of the Digital Transformation & innovation Team, you will be in charge of: + + +Contributing to the digital and data strategy of TGP for Gas, Power and LNG Trading +Leveraging digital tools and technologies for the implementation of innovative solutions in order to create business value +Developing the digital projects portfolio of TGP +Participating to Incorporate agile ways of working to accelerate transformations +Promoting digital innovation and data culture in the organisation +Contributing to practice development initiatives including internal community development (e.g Data Scientist network) +Supporting the teams across the organization and locations in implementing disruptive models and assist in change management activities + + + +Contexte et environnement + +Are you looking to grow your career in the vibrant world of Digital Transformation & Innovation? + +Do you have a background related to Digital, with strong analytical, quant and computing skills? If yes, we would love to see your profile ! + +Context and environment + +The Trading Division is responsible for the development and the management of a portfolio of commercial outlets for natural gas, natural gas liquids, shale gas, liquefied natural gas, power, emissions certificates, and dry bulk products in Europe, the United States and Asia. + +The fast-paced trading environment requires you to work autonomously and within the team. + +This position requires daily interactions with other departments within the organization notably Front Office, Market Research, Middle Office, Back Office, Finance and Compliance. Industry and contractual deadlines must be met requiring a good ability to plan and work under time pressure. + +Our Culture + +We are committed to meet the energy needs of a growing population and we are committed to the energy transition. The volatility of the energy trading markets requires excellence in risk management and a culture of innovation. We are fully embracing the digital revolution. + +Our people flourish in an environment that promotes expertise, entrepreneurship spirit, agility and a purpose-driven culture, generating boundless opportunities to learn, grow and achieve collaborative success. + +Reinforcing the competencies of our people is a key pillar of our culture: we train our people to ensure their development and we pledge to encourage safety in all our actions. + +We look for passion, ambition and open-mindedness. While we evolve in a demanding industry that requests to be always on the edge, we cultivate a friendly workplace where our people feel good, where team spirit and respect guide our daily routine, where the diversity of our people and their skills create a nourishing experience for all of us. +Show more ","
    + + + + + +
    +
    + Profil du candidat

    • You are a master’s degree holder
    • You are a Digital native with strong analytical, quantitative and computing kills: data analytics, AI/machine learning, cloud computing, Power BI, Alteryx, R, Python, MongoDb …
    • You have a previous experience in commodity trading or in the energy industry.
    • You can work well in a team, but also autonomously and have strong communication skills, and the ability to convince.
    • English essential, other languages such as French are a strong advantage.
    • Location: Geneva
    • Desired start date: Q4 2024


    At TotalEnergies, we believe that our employees’ fulfilment has its roots in the wealth of the experiences they are offered. We are an equal opportunity employer committed to respecting diversity and inclusion in the workplace.

    Applicants will receive consideration for employment without regard for race, color, gender, religion, national origin, disability, military status, age, marital status, sexual orientation, gender identity, genetic information or any other protected group status.

    Activités

    What You Will Do

    As a member of the Digital Transformation & innovation Team, you will be in charge of:

    • Contributing to the digital and data strategy of TGP for Gas, Power and LNG Trading
    • Leveraging digital tools and technologies for the implementation of innovative solutions in order to create business value
    • Developing the digital projects portfolio of TGP
    • Participating to Incorporate agile ways of working to accelerate transformations
    • Promoting digital innovation and data culture in the organisation
    • Contributing to practice development initiatives including internal community development (e.g Data Scientist network)
    • Supporting the teams across the organization and locations in implementing disruptive models and assist in change management activities


    Contexte et environnement

    Are you looking to grow your career in the vibrant world of Digital Transformation & Innovation?

    Do you have a background related to Digital, with strong analytical, quant and computing skills? If yes, we would love to see your profile !

    Context and environment

    The Trading Division is responsible for the development and the management of a portfolio of commercial outlets for natural gas, natural gas liquids, shale gas, liquefied natural gas, power, emissions certificates, and dry bulk products in Europe, the United States and Asia.

    The fast-paced trading environment requires you to work autonomously and within the team.

    This position requires daily interactions with other departments within the organization notably Front Office, Market Research, Middle Office, Back Office, Finance and Compliance. Industry and contractual deadlines must be met requiring a good ability to plan and work under time pressure.

    Our Culture

    We are committed to meet the energy needs of a growing population and we are committed to the energy transition. The volatility of the energy trading markets requires excellence in risk management and a culture of innovation. We are fully embracing the digital revolution.

    Our people flourish in an environment that promotes expertise, entrepreneurship spirit, agility and a purpose-driven culture, generating boundless opportunities to learn, grow and achieve collaborative success.

    Reinforcing the competencies of our people is a key pillar of our culture: we train our people to ensure their development and we pledge to encourage safety in all our actions.

    We look for passion, ambition and open-mindedness. While we evolve in a demanding industry that requests to be always on the edge, we cultivate a friendly workplace where our people feel good, where team spirit and respect guide our daily routine, where the diversity of our people and their skills create a nourishing experience for all of us. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3994684451,https://ch.linkedin.com/jobs/view/machine-learning-engineer-at-creaitor-ai-3994684451?position=8&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=5aOSRlxMW59fej3XyFIxgw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Creaitor.ai,"Lucerne, Lucerne, Switzerland","Hey there, future innovator! At Creaitor we’re reshaping the way companies manage their content marketing. Since 2022 we’ve been building the leading AI-driven platform to help businesses streamline their entire content marketing lifecycle. We’re at home in beautiful Lucerne, Switzerland but our growing team mostly works remotly to build amazing AI solutions for customers all over the world. + +We are seeking a highly skilled and motivated Lead Machine Learning Engineer to spearhead our machine learning initiatives working directly with Creaitor's CTO. This role is critical as you will lay the foundation for our ML/AI capabilities and lead the development of innovative solutions that enhance our platform. You will cover both the roles of a Machine Learning Engineer and a Data Scientist, working closely with product managers to build and deploy cutting-edge models that meet the needs of our customers. + +Tasks + + +Lead ML Development: Design, develop, and deploy machine learning models. +Strategy and Vision: Develop and execute a strategic roadmap for machine learning initiatives aligned with Creaitor’s goals. +Cross-functional Collaboration: Work with cross-functional teams to identify opportunities for leveraging machine learning to solve complex problems and improve user experience. +Vector Database Management: Set up and manage vector databases to efficiently store and retrieve high-dimensional data, enabling fast and accurate similarity searches. +Data Management: Collect, preprocess, and analyze large datasets to inform model development and extract actionable insights. +Feature Engineering: Perform feature engineering to enhance model performance and accuracy. +Model Training: Train and fine-tune machine learning models using state-of-the-art techniques. +Model Optimization: Evaluate and optimize model performance to ensure accuracy, efficiency, and scalability. +Research and Innovation: Stay up-to-date with the latest research and advancements in machine learning and AI to continuously enhance our platform. +Testing and Maintenance: Implement and maintain robust testing frameworks to ensure the reliability of machine learning solutions. +Documentation: Document processes, models, and methodologies to ensure knowledge sharing and reproducibility. + + + +Requirements + + +Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. +Experience: Proven experience as a Machine Learning Engineer or similar role, with a strong portfolio of successful projects. +Technical Skills: Proficiency in programming languages such as Python, R, or similar. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc. +Foundational Knowledge: Strong understanding of data structures, algorithms, and software engineering principles. +LLM Expertise: Experience in developing AI/ML solutions with a focus on LLM and LLM frameworks (e.g. LangChain). Strong knowledge and practical experience in Generative AI +NLP Expertise: Knowledge of natural language processing (NLP) techniques and tools. +Vector Databases: Experience in working with vector databases (e.g., Pinecone, FAISS, Milvus) to store and manage high-dimensional data for similarity searches and recommendation engines. +Cloud Experience: Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes) is a plus. +Leadership: Demonstrated ability to lead projects and work independently as well as part of a team. +Communication Skills: Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. + + + +Benefits + + +Work remotely while being an indispensable member of our global team. You’ll have all the tools at your disposal to fascilitae communication and a great work environment. +Work at the heart of a growing AI startup with a unique culture and ambitions to match your own. +We are result driven and give you the space and flexibility to organize your work as it best suits you. +Get the opportunity to be a co-owner of a successfull startup with Creaitor’s Employee Stock Options Program. +Be part of the initial scaling team and shape the future of Creaitor with us + + + +We’re fresh off of closing our pre-seed financing round and are ready to kick our growth into high gear by welcoming new team members with exceptional talent to grow Creaitor to the preferred AI Content Marketing platform for businesses worldwide. If this sounds exciting to you, apply now! +Show more ","
    + + + + + +
    +
    + Hey there, future innovator! At Creaitor we’re reshaping the way companies manage their content marketing. Since 2022 we’ve been building the leading AI-driven platform to help businesses streamline their entire content marketing lifecycle. We’re at home in beautiful Lucerne, Switzerland but our growing team mostly works remotly to build amazing AI solutions for customers all over the world.

    We are seeking a highly skilled and motivated Lead Machine Learning Engineer to spearhead our machine learning initiatives working directly with Creaitor's CTO. This role is critical as you will lay the foundation for our ML/AI capabilities and lead the development of innovative solutions that enhance our platform. You will cover both the roles of a Machine Learning Engineer and a Data Scientist, working closely with product managers to build and deploy cutting-edge models that meet the needs of our customers.

    Tasks

    • Lead ML Development: Design, develop, and deploy machine learning models.
    • Strategy and Vision: Develop and execute a strategic roadmap for machine learning initiatives aligned with Creaitor’s goals.
    • Cross-functional Collaboration: Work with cross-functional teams to identify opportunities for leveraging machine learning to solve complex problems and improve user experience.
    • Vector Database Management: Set up and manage vector databases to efficiently store and retrieve high-dimensional data, enabling fast and accurate similarity searches.
    • Data Management: Collect, preprocess, and analyze large datasets to inform model development and extract actionable insights.
    • Feature Engineering: Perform feature engineering to enhance model performance and accuracy.
    • Model Training: Train and fine-tune machine learning models using state-of-the-art techniques.
    • Model Optimization: Evaluate and optimize model performance to ensure accuracy, efficiency, and scalability.
    • Research and Innovation: Stay up-to-date with the latest research and advancements in machine learning and AI to continuously enhance our platform.
    • Testing and Maintenance: Implement and maintain robust testing frameworks to ensure the reliability of machine learning solutions.
    • Documentation: Document processes, models, and methodologies to ensure knowledge sharing and reproducibility.


    Requirements

    • Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
    • Experience: Proven experience as a Machine Learning Engineer or similar role, with a strong portfolio of successful projects.
    • Technical Skills: Proficiency in programming languages such as Python, R, or similar. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
    • Foundational Knowledge: Strong understanding of data structures, algorithms, and software engineering principles.
    • LLM Expertise: Experience in developing AI/ML solutions with a focus on LLM and LLM frameworks (e.g. LangChain). Strong knowledge and practical experience in Generative AI
    • NLP Expertise: Knowledge of natural language processing (NLP) techniques and tools.
    • Vector Databases: Experience in working with vector databases (e.g., Pinecone, FAISS, Milvus) to store and manage high-dimensional data for similarity searches and recommendation engines.
    • Cloud Experience: Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes) is a plus.
    • Leadership: Demonstrated ability to lead projects and work independently as well as part of a team.
    • Communication Skills: Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.


    Benefits

    • Work remotely while being an indispensable member of our global team. You’ll have all the tools at your disposal to fascilitae communication and a great work environment.
    • Work at the heart of a growing AI startup with a unique culture and ambitions to match your own.
    • We are result driven and give you the space and flexibility to organize your work as it best suits you.
    • Get the opportunity to be a co-owner of a successfull startup with Creaitor’s Employee Stock Options Program.
    • Be part of the initial scaling team and shape the future of Creaitor with us


    We’re fresh off of closing our pre-seed financing round and are ready to kick our growth into high gear by welcoming new team members with exceptional talent to grow Creaitor to the preferred AI Content Marketing platform for businesses worldwide. If this sounds exciting to you, apply now! +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3999307462,https://ch.linkedin.com/jobs/view/principal-data-scientist-w-m-d-100%25-switzerland-at-luware-3999307462?position=9&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=qX3zIOBE8BDGNVuWV8fNVQ%3D%3D&trk=public_jobs_jserp-result_search-card,Principal Data Scientist (w/m/d) 100% Switzerland,Luware,"Zurich, Switzerland","Luware is still incredibly growing! Since our foundation in 2010, we have been getting the most out of the Microsoft technology stack and continuously improving it. Our unique solutions transform Microsoft Teams into a customer service hub that gives meaning to every customer interaction. As the leading software-as-a-service company in our market segment, agile, hybrid working is a matter of course for us. + + + + +We are looking for as soon as possible for a Principal Data Scientist, as additional support for our outstanding Development Team in Switzerland/ Zürich (remote). In this very interesting role, you will be able to actively shape our product and integrate your ideas and thereby contribute to the success of Luware. + + + + +As a Principal Data Scientist in the Luware Nimbus Application team, you will work with business and AI leaders as well as internal business users and Partners to understand, explore and develop AI/ML solutions to solve their business needs. + + + + +We innovate and collaborate closely with our partners and customers in a very agile environment. Take the opportunity to collaborate with a diverse team on enabling end-to-end business scenarios using cutting-edge AI technologies and to solve challenging problems for large scale 24x7 business SaaS applications! + + + + +Your responsibilities + + + + +Develop, deploy and monitor scalable data pipelines that ingest and process data from multi-tenant production environments to research environments using C#/Spark/Synapse +Develop, deploy and monitor data enrichment workflows including dataset creation, cataloging and reporting +Develop and deploy tooling that ensures compliance with data governance and life cycle management requirements and best practices +Detect, monitor, and resolve data quality issues in collaboration with other teams +Implement tools and data architecture improvements that increase data usability and quality. +Focus on particular aspects of our product, developing extensive knowledge in the domain and technical framework, notably in Large Language Models (LLM), and play a role in advancing product development through ongoing awareness of industry trends and technologies +Assess business needs and integrate research to achieve business objectives +Your role involves guiding the selection of data to address issues strategically, leveraging your expertise to design, measure and build AI applications to drive tangible business results. +You'll be involved in the onboarding process for new team members early in their careers, providing guidance and support as they join the team, and also assisting in coaching and mentoring other team members +Cultivate a supportive and inclusive team culture, offering technical guidance to fellow team members and serving as a mentor + + + + +Your skills + + + + +Degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science, or related field AND 7+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) +Hands on coding experience in an object-oriented language (such as C#) +OR equivalent experience. +Multi-year technical experience working with relational databases and query languages +Previous experience managing software DevOps (especially ADO pipelines), building infrastructure using Microsoft Azure technology like Service Fabric, App Service, Docker +Experience with Azure ecosystem including cross tenants and highly restricted environments, as well as developing scalable processing using Spark especially in Azure will be considered strong assets +Experience complying with data governance and compliance standards such as GDPR or HIPAA within restricted environments +Experience developing and deploying dashboards (especially in Power BI) +Experience with design and implementation of enterprise-scale services +Experience in developing, debugging, and supporting code in object-oriented languages and database querying languages. +Experience in developing and debugging product and test code within a micro-services architecture + + + + +Our Offer + + + + +Challenging, interesting work in a varied field with a high level of personal responsibility +A dynamic, motivating working environment that leaves room for the realisation of your ideas and promotes your personal development +Regular team events and the opportunity to work in one of the Luware offices for up to one month as part of our exchange programme + + + + +You can expect an extremely collegial, international environment and a fresh, dynamic, open corporate culture, let the Luware spirit convince you! + + + + +Do you feel addressed and are you ready to finally unleash your full potential? Then send us your spontaneous application over the Applicants- Button! + + + + +We are very looking forward to getting to know you! + + + + +For this role, we do not consider and processing any applications from staffing agencies, thank you for your understanding. + + + + +A Bit About Us + +Since our foundation in 2010, our goal has been to empower organizations to communicate more effectively. We offer calling, contact center, and recording solutions that transform Microsoft Teams into a customer experience hub and help organizations to create value in every customer interaction. We are a young and international team spread out across Switzerland, Germany, the United Kingdom, Poland, and the USA. Because of this, we often rely on Teams to keep in touch but we make sure to come together when we can. We enjoy meeting up for after-work drinks and activities. + +Show more ","
    + + + + + +
    +
    +

    Luware is still incredibly growing! Since our foundation in 2010, we have been getting the most out of the Microsoft technology stack and continuously improving it. Our unique solutions transform Microsoft Teams into a customer service hub that gives meaning to every customer interaction. As the leading software-as-a-service company in our market segment, agile, hybrid working is a matter of course for us.


    We are looking for as soon as possible for a Principal Data Scientist, as additional support for our outstanding Development Team in Switzerland/ Zürich (remote). In this very interesting role, you will be able to actively shape our product and integrate your ideas and thereby contribute to the success of Luware.


    As a Principal Data Scientist in the Luware Nimbus Application team, you will work with business and AI leaders as well as internal business users and Partners to understand, explore and develop AI/ML solutions to solve their business needs.


    We innovate and collaborate closely with our partners and customers in a very agile environment. Take the opportunity to collaborate with a diverse team on enabling end-to-end business scenarios using cutting-edge AI technologies and to solve challenging problems for large scale 24x7 business SaaS applications!


    Your responsibilities


    • Develop, deploy and monitor scalable data pipelines that ingest and process data from multi-tenant production environments to research environments using C#/Spark/Synapse
    • Develop, deploy and monitor data enrichment workflows including dataset creation, cataloging and reporting
    • Develop and deploy tooling that ensures compliance with data governance and life cycle management requirements and best practices
    • Detect, monitor, and resolve data quality issues in collaboration with other teams
    • Implement tools and data architecture improvements that increase data usability and quality.
    • Focus on particular aspects of our product, developing extensive knowledge in the domain and technical framework, notably in Large Language Models (LLM), and play a role in advancing product development through ongoing awareness of industry trends and technologies
    • Assess business needs and integrate research to achieve business objectives
    • Your role involves guiding the selection of data to address issues strategically, leveraging your expertise to design, measure and build AI applications to drive tangible business results.
    • You'll be involved in the onboarding process for new team members early in their careers, providing guidance and support as they join the team, and also assisting in coaching and mentoring other team members
    • Cultivate a supportive and inclusive team culture, offering technical guidance to fellow team members and serving as a mentor


    Your skills


    • Degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science, or related field AND 7+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • Hands on coding experience in an object-oriented language (such as C#)
    • OR equivalent experience.
    • Multi-year technical experience working with relational databases and query languages
    • Previous experience managing software DevOps (especially ADO pipelines), building infrastructure using Microsoft Azure technology like Service Fabric, App Service, Docker
    • Experience with Azure ecosystem including cross tenants and highly restricted environments, as well as developing scalable processing using Spark especially in Azure will be considered strong assets
    • Experience complying with data governance and compliance standards such as GDPR or HIPAA within restricted environments
    • Experience developing and deploying dashboards (especially in Power BI)
    • Experience with design and implementation of enterprise-scale services
    • Experience in developing, debugging, and supporting code in object-oriented languages and database querying languages.
    • Experience in developing and debugging product and test code within a micro-services architecture


    Our Offer


    • Challenging, interesting work in a varied field with a high level of personal responsibility
    • A dynamic, motivating working environment that leaves room for the realisation of your ideas and promotes your personal development
    • Regular team events and the opportunity to work in one of the Luware offices for up to one month as part of our exchange programme


    You can expect an extremely collegial, international environment and a fresh, dynamic, open corporate culture, let the Luware spirit convince you!


    Do you feel addressed and are you ready to finally unleash your full potential? Then send us your spontaneous application over the Applicants- Button!


    We are very looking forward to getting to know you!


    For this role, we do not consider and processing any applications from staffing agencies, thank you for your understanding.


    A Bit About Us

    Since our foundation in 2010, our goal has been to empower organizations to communicate more effectively. We offer calling, contact center, and recording solutions that transform Microsoft Teams into a customer experience hub and help organizations to create value in every customer interaction. We are a young and international team spread out across Switzerland, Germany, the United Kingdom, Poland, and the USA. Because of this, we often rely on Teams to keep in touch but we make sure to come together when we can. We enjoy meeting up for after-work drinks and activities.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +3986667516,https://ch.linkedin.com/jobs/view/ai-engineer-at-paretolabs-3986667516?position=11&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=wp%2FNtNHg3RvANpvtGrT5FA%3D%3D&trk=public_jobs_jserp-result_search-card,AI Engineer,ParetoLabs,"Zurich, Zurich, Switzerland","ParetoLabs is looking for a dedicated and passionate AI Engineer to join our dynamic and growing team. If you have a strong command of AI and Machine Learning methodologies, you'll play a significant role in shaping the AI-driven solutions we deliver across various industries. + +About ParetoLabs + +ParetoLabs is a software studio that develops customized, AI-powered applications for conversation and text processing. The startup helps customers quickly test AI applications in their context. Founded in Zurich, the ""Microsoft for Startups"" partner has been bringing together the most innovative AI technologies with the specific needs of Swiss companies since 2023. + +Aufgaben + + +Analyze Customer Needs: Understand and conceptualize the solution architecture based on customer requirements. +Implement Solutions: Develop the solution architecture using Python, appropriate libraries, and Azure AI components. +Model Development: Select, train, and validate suitable machine learning models. +Integration and Quality Measurement: Integrate trained models into the solution architecture and measure their quality. +Consulting Expertise: Serve as an important point of contact for colleagues in consulting with your AI/ML expertise. +Community Involvement: Actively participate in the Data + ML community and contribute to the development of our offerings. + + + +Qualifikation + + +Educational Background: Completed training or a degree in Data Science, ML, AI, Computer Science, Business Informatics, Physics, Statistics, or a related field. +Proven Experience: Practical experience in AI/ML projects. +Technical Skills: Practical experience as a developer with Python in the areas of Data Science, Machine Learning, or AI. +Advantageous Skills: Familiarity with LLMs and/or RAG systems. Experience with Azure ML and Azure AI Services. Knowledge and experience with ML Ops. + + + +Benefits + + +Competitive Remuneration: A competitive salary package, reflecting your experience and contributions. +Flexible Work Arrangements: Choose from remote, on-site, or hybrid working models, with a preference for candidates based in Switzerland. +Pick Your Gear: Choose your preferred devices for work. +Attractive Benefits: above market pension benefits and a private accident insurance. +Professional Growth: Participation in the Microsoft for Startups program, offering access to valuable resources, events and support. + + + +If you're passionate about AI Engineering and eager to make an impact on the AI application landscape, we invite you to apply to ParetoLabs. Please send your resume and portfolio showcasing your relevant experience (GitHub link preferred). + +Join us in our mission to deliver cutting-edge AI solutions and shape the future of technology across industries! +Show more ","
    + + + + + +
    +
    + ParetoLabs is looking for a dedicated and passionate AI Engineer to join our dynamic and growing team. If you have a strong command of AI and Machine Learning methodologies, you'll play a significant role in shaping the AI-driven solutions we deliver across various industries.

    About ParetoLabs

    ParetoLabs is a software studio that develops customized, AI-powered applications for conversation and text processing. The startup helps customers quickly test AI applications in their context. Founded in Zurich, the ""Microsoft for Startups"" partner has been bringing together the most innovative AI technologies with the specific needs of Swiss companies since 2023.

    Aufgaben

    • Analyze Customer Needs: Understand and conceptualize the solution architecture based on customer requirements.
    • Implement Solutions: Develop the solution architecture using Python, appropriate libraries, and Azure AI components.
    • Model Development: Select, train, and validate suitable machine learning models.
    • Integration and Quality Measurement: Integrate trained models into the solution architecture and measure their quality.
    • Consulting Expertise: Serve as an important point of contact for colleagues in consulting with your AI/ML expertise.
    • Community Involvement: Actively participate in the Data + ML community and contribute to the development of our offerings.


    Qualifikation

    • Educational Background: Completed training or a degree in Data Science, ML, AI, Computer Science, Business Informatics, Physics, Statistics, or a related field.
    • Proven Experience: Practical experience in AI/ML projects.
    • Technical Skills: Practical experience as a developer with Python in the areas of Data Science, Machine Learning, or AI.
    • Advantageous Skills: Familiarity with LLMs and/or RAG systems. Experience with Azure ML and Azure AI Services. Knowledge and experience with ML Ops.


    Benefits

    • Competitive Remuneration: A competitive salary package, reflecting your experience and contributions.
    • Flexible Work Arrangements: Choose from remote, on-site, or hybrid working models, with a preference for candidates based in Switzerland.
    • Pick Your Gear: Choose your preferred devices for work.
    • Attractive Benefits: above market pension benefits and a private accident insurance.
    • Professional Growth: Participation in the Microsoft for Startups program, offering access to valuable resources, events and support.


    If you're passionate about AI Engineering and eager to make an impact on the AI application landscape, we invite you to apply to ParetoLabs. Please send your resume and portfolio showcasing your relevant experience (GitHub link preferred).

    Join us in our mission to deliver cutting-edge AI solutions and shape the future of technology across industries! +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-28,[] +3996388008,https://ch.linkedin.com/jobs/view/machine-learning-engineer-edge-in-a-fast-growing-ai-startup-at-lightly-3996388008?position=12&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=6QT%2FyM%2Ft4tPnZcA%2F%2B84gAg%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer (Edge) in a fast-growing AI Startup,Lightly,Switzerland,"At the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power. Our customers already face this problem and have too much data to process. As a solution, we built software to identify and work with the most relevant samples only. Learn more about us on our website. + +We are a team of talented developers and researchers in Zurich, Prague and San Francisco and are backed by YCombinator. Every member of the team is going to have a massive impact. + +Thus, we are looking for an experienced engineer with lots of passion for the subject. We offer attractive cash- & equity package for you to become part-owner of Lightly. Remote work is also possible. + +We use a modern stack of: + + +PyTorch, Python, Typescript, C++, Rust, React, NodeJS +Docker, Kubernetes, Google Cloud Platform, AWS + + + +Tasks + +As a Machine Learning Engineer you will contribute to train and optimise state-of-the-art computer vision models to run on various hardware for real-time applications. + +Particularly, you will get to: + + +Design, train, and improve machine learning models for embedded devices, considering platform limitations. +Develop frameworks to evaluate and iterate on machine learning models. +Keep up with current research in self-supervised learning and multi-modal models. +Contribute to our product codebase written in Rust, C++, and Python. +Work with state-of-the-art technology such as self-supervised learning, model distillation, vision-language models, and deep learning for computer vision. +Participate in and hold paper sessions about the latest papers in the field. + + + +Requirements + +Ideally, you have: + + +MSc or PhD in Computer Science, Engineering, or a related field. +At least 2 years of industry experience in deep learning and computer vision, with experience in PyTorch. +Proficiency in Python. +Willingness to learn Rust and C++. Willingness to learn software engineering best practices to contribute to our product codebase. Previous experience is a plus. +Strong passion for new technologies and interest in keeping up with the latest technologies and publications in deep learning. +A creative, collaborative, and product-focused mindset. + + + +Benefits + +We offer attractive cash- & equity package for you to become part-owner of Lightly. Remote work is also possible. + +Interested? Contact us! + +We look forward to getting to know you! +Show more ","
    + + + + + +
    +
    + At the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power. Our customers already face this problem and have too much data to process. As a solution, we built software to identify and work with the most relevant samples only. Learn more about us on our website.

    We are a team of talented developers and researchers in Zurich, Prague and San Francisco and are backed by YCombinator. Every member of the team is going to have a massive impact.

    Thus, we are looking for an experienced engineer with lots of passion for the subject. We offer attractive cash- & equity package for you to become part-owner of Lightly. Remote work is also possible.

    We use a modern stack of:

    • PyTorch, Python, Typescript, C++, Rust, React, NodeJS
    • Docker, Kubernetes, Google Cloud Platform, AWS


    Tasks

    As a Machine Learning Engineer you will contribute to train and optimise state-of-the-art computer vision models to run on various hardware for real-time applications.

    Particularly, you will get to:

    • Design, train, and improve machine learning models for embedded devices, considering platform limitations.
    • Develop frameworks to evaluate and iterate on machine learning models.
    • Keep up with current research in self-supervised learning and multi-modal models.
    • Contribute to our product codebase written in Rust, C++, and Python.
    • Work with state-of-the-art technology such as self-supervised learning, model distillation, vision-language models, and deep learning for computer vision.
    • Participate in and hold paper sessions about the latest papers in the field.


    Requirements

    Ideally, you have:

    • MSc or PhD in Computer Science, Engineering, or a related field.
    • At least 2 years of industry experience in deep learning and computer vision, with experience in PyTorch.
    • Proficiency in Python.
    • Willingness to learn Rust and C++. Willingness to learn software engineering best practices to contribute to our product codebase. Previous experience is a plus.
    • Strong passion for new technologies and interest in keeping up with the latest technologies and publications in deep learning.
    • A creative, collaborative, and product-focused mindset.


    Benefits

    We offer attractive cash- & equity package for you to become part-owner of Lightly. Remote work is also possible.

    Interested? Contact us!

    We look forward to getting to know you! +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3992191551,https://ch.linkedin.com/jobs/view/python-developer-at-nicoll-curtin-3992191551?position=13&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=S8zLe6HOpn1uwgSleJvfiA%3D%3D&trk=public_jobs_jserp-result_search-card,Python Developer,Nicoll Curtin,"Geneva, Switzerland","We are in search of a Python Developer for our client in the Geneva area. + + + + +In this role, you will enhance and maintain the backend code, resolve performance issues, create web services, and implement various backend modules. + + + + +If you have extensive knowledge of Python, Flask, and MongoDB, along with several years of practical experience, and are fluent in English, this opportunity is ideal for you! + + + + +Experience with Django, MariaDB, Elasticsearch, as well as Docker, and Kubernetes is an advantage. + + + + +If you are interested in this role, please apply directly to bojana.bandovic@nicollcurtin.com. + +Show more ","
    + + + + + +
    +
    +

    We are in search of a Python Developer for our client in the Geneva area.


    In this role, you will enhance and maintain the backend code, resolve performance issues, create web services, and implement various backend modules.


    If you have extensive knowledge of Python, Flask, and MongoDB, along with several years of practical experience, and are fluent in English, this opportunity is ideal for you!


    Experience with Django, MariaDB, Elasticsearch, as well as Docker, and Kubernetes is an advantage.


    If you are interested in this role, please apply directly to bojana.bandovic@nicollcurtin.com.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +3981886120,https://ch.linkedin.com/jobs/view/data-scientist-at-vf-corporation-3981886120?position=14&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=R43AzquLv4219cfT6rhhOQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,VF Corporation,"Stabio, Ticino, Switzerland","VF Corporation is looking for an exceptional Data Scientist to join our Data Science team based in Stabio, Switzerland. + + + + +Let’s talk about the role! + + + + +As a Data Scientist at VF Corporation, you’ll play a crucial role in transforming data into actionable insights. You’ll work on challenging problems, collaborate with cross-functional teams, and drive data-driven decision-making for all the functions and brands of VF Corporation. + + + + +We expect that you will deliver unbeatable results whilst fulfilling the following aspects of the Data Scientist role: + + + + +Develop predicting models in the area of DTC marketing. +Develop models in the area of supply and demand chain. +Monitor and maintain the already deployed models to ensure that the performances remain outstanding. +Present the results to our internal stakeholders. +Have a continuous dialogue with Data Engineers and DevOps to drive new development in the area of model productionalization. + + + + +Skills For Success + +A successful Data Scientist will be able to bring his contribution in the whole Data Science development chain. + + + + +Starting from capturing the right request from the business stakeholders, talking with Data Engineers to retrieve the right data, developing the best model, and presenting the results to the Data Science management and to stakeholders. + + + + +Technical Skills: + +Python Proficiency: demonstrated ability to write efficient, clean Python code for data manipulation, analysis, and modeling. +Data Science and Machine Learning: strong understanding of core ML concepts (clustering, classification, regression, dimensionality reduction). +Time Series Forecasting: extensive experience with time series forecasting methods (statistical, ML, and DL). +Deep Learning and Generative AI: knowledge of main neural network topologies for computer vision and natural language modeling (CNNs, RNNs, autoencoders, transformers, LLMs, diffusion models, RAG, etc.). +Hyperparameter Optimization: Familiarity with best practices (e.g., Bayesian optimization). +Statistical Analysis: Solid grasp of hypothesis testing, A/B testing, and statistical modeling. +Querying and DBs: Deep knowledge of SQL; familiarity with other languages is a plus. +Nice to have: knowledge of recommender systems. + + + + +Tools and Platforms: + +Version Control: Proficiency with Git for version control and collaboration. +AWS Ecosystem: Experience with AWS services (e.g., Sagemaker, Redshift, Bedrock) is a plus. +Data Visualization: Familiarity with PowerBI or Tableau for presenting project results. + + + + +Soft Skills: + +Adaptability: Ability to react swiftly to changes and adapt to evolving requirements. +Self-Organization: Strong organizational skills to manage tasks effectively and meet deadlines. +Teamwork: Positive, proactive attitude toward collaboration. +Communication: Fluency in English. Excellent verbal and written communication skills. +Experience: Minimum 5 years of relevant experience in a similar role. +Experience in retail will be considered as a plus. + + + + +VF is a global apparel company connecting people to the lifestyles they cherish through our family of iconic brands. At the heart of our journey lies our purpose: We power movements of sustainable and active lifestyles for the betterment of people and our planet. This is our purpose. It’s the reason we come to work every day. Our purpose unites us and leads us to pursue our goals, together. This is our calling. Learn more at vfc.com + + + + +What’s In It For You + +We’re in the business of unleashing human potential, driven by the ideas, energy and commitment of our people. That’s why we offer comprehensive benefits that encourage mental, physical and financial well-being for all VF associates. When it comes to benefits, we’re the total package. + + + + +A supportive feedback-based culture where respect and integrity guide us in what we do +An inclusive international environment where people of diverse backgrounds, lifestyles and nationalities love working together +Be part of an iconic lifestyle brand in a multi brand, multi countries organization +On site gym offering health and well-being initiatives +A discount card with 50% on all VF brands +Break out areas offering complimentary hot drinks + + + + +This post is eligible for relocation support. + + + + +Free to Be, Inclusion & Diversity + +As a purpose-led, performance driven company, we strive to foster a culture of belonging based on respect, connection, openness and authenticity. We are committed to building and maintaining a workplace that celebrates the diversity of our associates, allowing them to bring their authentic selves to work every day. + + + + +As an equal opportunity and affirmative action employer, VF is committed to support disadvantaged groups whilst providing equal opportunities for both VF associates and applicants alike. + + + + +If you like what you have read and want to join our team then we would like to hear from you! + + + + +R-20240724-0031 + +Show more ","
    + + + + + +
    +
    +

    VF Corporation is looking for an exceptional Data Scientist to join our Data Science team based in Stabio, Switzerland.


    Let’s talk about the role!


    As a Data Scientist at VF Corporation, you’ll play a crucial role in transforming data into actionable insights. You’ll work on challenging problems, collaborate with cross-functional teams, and drive data-driven decision-making for all the functions and brands of VF Corporation.


    We expect that you will deliver unbeatable results whilst fulfilling the following aspects of the Data Scientist role:


    • Develop predicting models in the area of DTC marketing.
    • Develop models in the area of supply and demand chain.
    • Monitor and maintain the already deployed models to ensure that the performances remain outstanding.
    • Present the results to our internal stakeholders.
    • Have a continuous dialogue with Data Engineers and DevOps to drive new development in the area of model productionalization.


    Skills For Success

    A successful Data Scientist will be able to bring his contribution in the whole Data Science development chain.


    Starting from capturing the right request from the business stakeholders, talking with Data Engineers to retrieve the right data, developing the best model, and presenting the results to the Data Science management and to stakeholders.


    Technical Skills:

    • Python Proficiency: demonstrated ability to write efficient, clean Python code for data manipulation, analysis, and modeling.
    • Data Science and Machine Learning: strong understanding of core ML concepts (clustering, classification, regression, dimensionality reduction).
    • Time Series Forecasting: extensive experience with time series forecasting methods (statistical, ML, and DL).
    • Deep Learning and Generative AI: knowledge of main neural network topologies for computer vision and natural language modeling (CNNs, RNNs, autoencoders, transformers, LLMs, diffusion models, RAG, etc.).
    • Hyperparameter Optimization: Familiarity with best practices (e.g., Bayesian optimization).
    • Statistical Analysis: Solid grasp of hypothesis testing, A/B testing, and statistical modeling.
    • Querying and DBs: Deep knowledge of SQL; familiarity with other languages is a plus.
    • Nice to have: knowledge of recommender systems.


    Tools and Platforms:

    • Version Control: Proficiency with Git for version control and collaboration.
    • AWS Ecosystem: Experience with AWS services (e.g., Sagemaker, Redshift, Bedrock) is a plus.
    • Data Visualization: Familiarity with PowerBI or Tableau for presenting project results.


    Soft Skills:

    • Adaptability: Ability to react swiftly to changes and adapt to evolving requirements.
    • Self-Organization: Strong organizational skills to manage tasks effectively and meet deadlines.
    • Teamwork: Positive, proactive attitude toward collaboration.
    • Communication: Fluency in English. Excellent verbal and written communication skills.
    • Experience: Minimum 5 years of relevant experience in a similar role.
    • Experience in retail will be considered as a plus.


    VF is a global apparel company connecting people to the lifestyles they cherish through our family of iconic brands. At the heart of our journey lies our purpose: We power movements of sustainable and active lifestyles for the betterment of people and our planet. This is our purpose. It’s the reason we come to work every day. Our purpose unites us and leads us to pursue our goals, together. This is our calling. Learn more at vfc.com


    What’s In It For You

    We’re in the business of unleashing human potential, driven by the ideas, energy and commitment of our people. That’s why we offer comprehensive benefits that encourage mental, physical and financial well-being for all VF associates. When it comes to benefits, we’re the total package.


    • A supportive feedback-based culture where respect and integrity guide us in what we do
    • An inclusive international environment where people of diverse backgrounds, lifestyles and nationalities love working together
    • Be part of an iconic lifestyle brand in a multi brand, multi countries organization
    • On site gym offering health and well-being initiatives
    • A discount card with 50% on all VF brands
    • Break out areas offering complimentary hot drinks


    This post is eligible for relocation support.


    Free to Be, Inclusion & Diversity

    As a purpose-led, performance driven company, we strive to foster a culture of belonging based on respect, connection, openness and authenticity. We are committed to building and maintaining a workplace that celebrates the diversity of our associates, allowing them to bring their authentic selves to work every day.


    As an equal opportunity and affirmative action employer, VF is committed to support disadvantaged groups whilst providing equal opportunities for both VF associates and applicants alike.


    If you like what you have read and want to join our team then we would like to hear from you!


    R-20240724-0031

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +3961807481,https://ch.linkedin.com/jobs/view/data-scientist-at-msc-cruises-3961807481?position=15&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=m7jpA1LnKFbUb7UbgpsXiQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,MSC Cruises,"Geneva, Geneva, Switzerland","JOB PURPOSE + +Are you passionate about uncovering insights from data and driving innovative solutions? Do you excel at solving complex problems and developing advanced models? If so, we have the perfect opportunity for you! + +We are seeking a highly skilled and motivated Data Scientist to join our dynamic Revenue Management team. In this role, you'll harness your expertise in data analysis, statistical modeling, and machine learning to optimise our revenue strategies. + + +KEY ACCOUNTABILITIES + +• Analyse large datasets to identify trends, patterns, and opportunities for revenue growth. + +• Develop and implement predictive models to forecast demand and optimise pricing strategies. + +• Apply time series analysis and machine learning theory to improve demand forecasting and inventory management. + +• Manage and improve interactive web applications for data visualisation. + +• Perform web scraping to gather external data relevant to revenue management. + +• Generate actionable insights from data analysis to support decision-making processes. + +• Present findings and recommendations in a clear and concise manner. + +• Review and document code to ensure clarity, maintainability, and best practices. + +• Stay current with industry trends and advancements in data science methodologies. + + +QUALIFICATIONS + +• Master's degree in Data Science, Statistics, Economics, Computer Science, or a related field. + +• Proven experience as a Data Scientist, preferably in the travel, hospitality, or related industries. + +• Proficiency in programming languages such as Python and SQL. + +• Experience with TensorFlow, Keras, Streamlit, Prophet. + +• Strong analytical skills with the ability to interpret complex data sets. + +• Knowledge of machine learning techniques and algorithms, and time series analysis. + +• Excellent communication and presentation skills. + +• Ability to work collaboratively in a team environment. + +• Knowledge of web scraping techniques and tools. + +• Proven capability to industrialise models and implement solutions into production environments. + +• Experience with deploying applications and models using Docker, Jenkins, and other similar tools. + +• Strong skills in ETL processes and data architecture. + + +VISA REQUIREMENTS + +EU Passport or Right to work in Switzerland. + +Show more ","
    + + + + + +
    +
    + JOB PURPOSE

    Are you passionate about uncovering insights from data and driving innovative solutions? Do you excel at solving complex problems and developing advanced models? If so, we have the perfect opportunity for you!

    We are seeking a highly skilled and motivated Data Scientist to join our dynamic Revenue Management team. In this role, you'll harness your expertise in data analysis, statistical modeling, and machine learning to optimise our revenue strategies.


    KEY ACCOUNTABILITIES

    • Analyse large datasets to identify trends, patterns, and opportunities for revenue growth.

    • Develop and implement predictive models to forecast demand and optimise pricing strategies.

    • Apply time series analysis and machine learning theory to improve demand forecasting and inventory management.

    • Manage and improve interactive web applications for data visualisation.

    • Perform web scraping to gather external data relevant to revenue management.

    • Generate actionable insights from data analysis to support decision-making processes.

    • Present findings and recommendations in a clear and concise manner.

    • Review and document code to ensure clarity, maintainability, and best practices.

    • Stay current with industry trends and advancements in data science methodologies.


    QUALIFICATIONS

    • Master's degree in Data Science, Statistics, Economics, Computer Science, or a related field.

    • Proven experience as a Data Scientist, preferably in the travel, hospitality, or related industries.

    • Proficiency in programming languages such as Python and SQL.

    • Experience with TensorFlow, Keras, Streamlit, Prophet.

    • Strong analytical skills with the ability to interpret complex data sets.

    • Knowledge of machine learning techniques and algorithms, and time series analysis.

    • Excellent communication and presentation skills.

    • Ability to work collaboratively in a team environment.

    • Knowledge of web scraping techniques and tools.

    • Proven capability to industrialise models and implement solutions into production environments.

    • Experience with deploying applications and models using Docker, Jenkins, and other similar tools.

    • Strong skills in ETL processes and data architecture.


    VISA REQUIREMENTS

    EU Passport or Right to work in Switzerland.

     +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +3981270041,https://ch.linkedin.com/jobs/view/machine-learning-engineer-oss-in-a-fast-growing-ai-startup-at-lightly-3981270041?position=17&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=QoGKK4G1u4Tn%2BZAWq1HnjQ%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer (OSS) in a fast-growing AI Startup,Lightly,Switzerland,"At the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power. Our customers already face this problem and have too much data to process. As a solution, we built software to identify and work with the most relevant samples only. Learn more about us on our website. + +We are a team of talented developers and researchers in Zurich, Prague and San Francisco and are backed by YCombinator. Every member of the team is going to have a massive impact. + +Thus, we are looking for an experienced engineer with lots of passion for the subject. We offer attractive cash- & equity package for you to become part-owner of Lightly. Remote work is also possible. + +We use a modern stack of: + + +PyTorch, Python, Typescript, C++, Rust, React, NodeJS +Docker, Kubernetes, Google Cloud Platform, AWS + + + +Tasks + +As a Machine Learning Engineer in the core ML team, you will be part of a team which works mainly on our open-source package for self-supervised learning and similar internal frameworks. + +Particularly, you will get to: + + +Work on our open-source Python package for self-supervised learning: https://github.com/lightly-ai/lightly. +Add support for finetuning pretrained models for downstream tasks including many different computer vision tasks like object detection, segmentation, tracking, and more. +Keep up with current research in self-supervised learning and multi-modal models. +All these tasks will include working with state-of-the-art technology such as self-supervised learning, model distillation, vision language models and deep learning for computer vision in general. +Participate in and hold paper sessions about the latest papers in the field. +Represent the company at machine learning conferences and engage with the community. + + + +In general, for this role expect to use the stack we use for our open-source package https://github.com/lightly-ai/lightly. + +Requirements + +Ideally, you have: + + +MSc or PhD in Computer Science, Engineering, or a related field +Experience in deep learning and computer vision, ideally in self-supervised learning and you have worked with PyTorch. +Excellent Python coding skills and knowledge of software engineering best practices. Experience with testing and typed Python is a big plus. +Experience with building and shipping software solutions. +Strong passion for new technologies and interest in keeping up with the latest technologies and publications in deep learning. + + + +Benefits + +We offer attractive cash- & equity package for you to become part-owner of Lightly. Remote work is also possible. + +Interested? Contact us! + +We look forward to getting to know you! +Show more ","
    + + + + + +
    +
    + At the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power. Our customers already face this problem and have too much data to process. As a solution, we built software to identify and work with the most relevant samples only. Learn more about us on our website.

    We are a team of talented developers and researchers in Zurich, Prague and San Francisco and are backed by YCombinator. Every member of the team is going to have a massive impact.

    Thus, we are looking for an experienced engineer with lots of passion for the subject. We offer attractive cash- & equity package for you to become part-owner of Lightly. Remote work is also possible.

    We use a modern stack of:

    • PyTorch, Python, Typescript, C++, Rust, React, NodeJS
    • Docker, Kubernetes, Google Cloud Platform, AWS


    Tasks

    As a Machine Learning Engineer in the core ML team, you will be part of a team which works mainly on our open-source package for self-supervised learning and similar internal frameworks.

    Particularly, you will get to:

    • Work on our open-source Python package for self-supervised learning: https://github.com/lightly-ai/lightly.
    • Add support for finetuning pretrained models for downstream tasks including many different computer vision tasks like object detection, segmentation, tracking, and more.
    • Keep up with current research in self-supervised learning and multi-modal models.
    • All these tasks will include working with state-of-the-art technology such as self-supervised learning, model distillation, vision language models and deep learning for computer vision in general.
    • Participate in and hold paper sessions about the latest papers in the field.
    • Represent the company at machine learning conferences and engage with the community.


    In general, for this role expect to use the stack we use for our open-source package https://github.com/lightly-ai/lightly.

    Requirements

    Ideally, you have:

    • MSc or PhD in Computer Science, Engineering, or a related field
    • Experience in deep learning and computer vision, ideally in self-supervised learning and you have worked with PyTorch.
    • Excellent Python coding skills and knowledge of software engineering best practices. Experience with testing and typed Python is a big plus.
    • Experience with building and shipping software solutions.
    • Strong passion for new technologies and interest in keeping up with the latest technologies and publications in deep learning.


    Benefits

    We offer attractive cash- & equity package for you to become part-owner of Lightly. Remote work is also possible.

    Interested? Contact us!

    We look forward to getting to know you! +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-23,[] +4007051077,https://ch.linkedin.com/jobs/view/research-engineer-at-invariant-labs-4007051077?position=18&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=ZmFn%2BwFfrfCOO73Gk8sHMg%3D%3D&trk=public_jobs_jserp-result_search-card,Research Engineer,Invariant Labs,"Zurich, Zurich, Switzerland","We are on a mission to unlock the power of agentic AI systems by making them secure, trustworthy and reliable. + +Our team: Our dedicated and fast-moving team consists of leading AI and security researchers, repeat founders, creators of popular open-source projects, Olympiad gold medalists, and cybersecurity experts. We blend the unique experience at top research institutions such as ETH Zurich, Stanford, and the University of Cambridge and industry leaders such as Facebook, Twitter, Google Brain, Snyk and Adobe. + +Who are we looking for: We are assembling a team of top engineers, researchers and builders who can learn and execute quickly and are not afraid to dive deep into cutting-edge products and research. If this sounds like you, we offer an opportunity to make a significant impact both within our company and on the world at large as we tackle together some of the most difficult challenges in AI. +Show more ","
    + + + + + +
    +
    + We are on a mission to unlock the power of agentic AI systems by making them secure, trustworthy and reliable.

    Our team: Our dedicated and fast-moving team consists of leading AI and security researchers, repeat founders, creators of popular open-source projects, Olympiad gold medalists, and cybersecurity experts. We blend the unique experience at top research institutions such as ETH Zurich, Stanford, and the University of Cambridge and industry leaders such as Facebook, Twitter, Google Brain, Snyk and Adobe.

    Who are we looking for: We are assembling a team of top engineers, researchers and builders who can learn and execute quickly and are not afraid to dive deep into cutting-edge products and research. If this sounds like you, we offer an opportunity to make a significant impact both within our company and on the world at large as we tackle together some of the most difficult challenges in AI. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +3992313695,https://ch.linkedin.com/jobs/view/postdoctoral-scientist-ai-ml-bioimage-analysis-at-johnson-johnson-3992313695?position=19&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=ea3m2cwSudXFl98q%2Blx83A%3D%3D&trk=public_jobs_jserp-result_search-card,Postdoctoral Scientist - AI/ML Bioimage Analysis,Johnson & Johnson,"Zug, Switzerland","Johnson & Johnson Innovative Medicine R&D Data Science & Digital Health organization is recruiting for a Postdoctoral Scientist – AI/ML Bioimage Analysis to join the Data Science Analytics & Insights team to help advance AI/ML Analytics for Drug Discovery. + +This is a 2 year fixed term contract. + + + + +The primary location for this position is Zug, Switzerland but exceptionally skilled candidates may be considered for remote work from Belgium, Germany, UK and the USA, with up to 10% travel. + + + + +With $85.2 billion in consolidated sales for 2023, Johnson & Johnson is the world's most comprehensive and broadly based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices and diagnostics markets. There are more than 250 Johnson & Johnson operating companies employing approximately 130,000 people in 60 countries throughout the world. + +The Data Science Analytics & Insights team develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease. We are looking for a highly motivated and innovative Postdoctoral Fellow who will work at the intersection of AI/ML, Computer Vision/Bioimaging, Multi-task Prediction and Molecule Design. + + + + +Key responsibilities: + +Conceive, develop, and implement AI/ML solutions applied to drug discovery problems, including but not limited to, processing and analysis of large-scale imaging and assay data (e.g. high content imaging, cryogenic electron microscopy, tissue imaging, and medical imaging), molecule property predictions, and AI-based optimization +Contribute to design of analysis plan and technical execution of a project, and execute end-to-end analyses, including progress reports and high-quality code documentation +Work closely with a cross disciplinary team of data and AI scientists, imaging experts, biologists, and computational chemists, and leverages cross-domain expertise to contribute to a rigorous scientific evidence package strategically aligned with molecule development cycle +Extensive hands-on coding and actively contribute to platform development +Document and disseminate research findings internally and externally (e.g.- publishing in top-tier ML conferences/journals) + + + + +Qualifications: + +Ph.D. in Electrical Engineering /Biomedical Engineering/Computer Science/Applied Mathematics or related majors +Strong technical expertise in AI / deep learning with excellent analytical skills in at least one domain area with proven track records (publication in top-tier journals, awards, patents, white papers) +Extensive, hands-on experience in AI/ML in related applications such as High-dimensional biomedical imaging/ Computer Vision/ Omics Analysis/ AI-based Drug Design/ and other related field. +Proficiency with one or more programming language, preferably Python. Proficiency in one or more AI framework such as Pytorch or Tensorflow +Good communication skills an able to present analytical results on behalf of the project team in a cross-functional setting, contextualizing how it fits within the broader project + + + + +Benefits: Employees may be eligible to participate in Company employee benefit programs such as health insurance, savings plan, pension plan, disability plan, vacation pay, sick time, holiday pay, and work, personal and family time off in accordance with the terms of the applicable plans. For additional general information on company benefits, please go to: https://www.careers.jnj.com/employee-benefits + + + + +At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, candidates offered employment must show proof of COVID-19 vaccination or secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work. + +Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. + +Show more ","
    + + + + + +
    +
    +

    Johnson & Johnson Innovative Medicine R&D Data Science & Digital Health organization is recruiting for a Postdoctoral Scientist – AI/ML Bioimage Analysis to join the Data Science Analytics & Insights team to help advance AI/ML Analytics for Drug Discovery.

    This is a 2 year fixed term contract.


    The primary location for this position is Zug, Switzerland but exceptionally skilled candidates may be considered for remote work from Belgium, Germany, UK and the USA, with up to 10% travel.


    With $85.2 billion in consolidated sales for 2023, Johnson & Johnson is the world's most comprehensive and broadly based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices and diagnostics markets. There are more than 250 Johnson & Johnson operating companies employing approximately 130,000 people in 60 countries throughout the world.

    The Data Science Analytics & Insights team develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease. We are looking for a highly motivated and innovative Postdoctoral Fellow who will work at the intersection of AI/ML, Computer Vision/Bioimaging, Multi-task Prediction and Molecule Design.


    Key responsibilities:

    • Conceive, develop, and implement AI/ML solutions applied to drug discovery problems, including but not limited to, processing and analysis of large-scale imaging and assay data (e.g. high content imaging, cryogenic electron microscopy, tissue imaging, and medical imaging), molecule property predictions, and AI-based optimization
    • Contribute to design of analysis plan and technical execution of a project, and execute end-to-end analyses, including progress reports and high-quality code documentation
    • Work closely with a cross disciplinary team of data and AI scientists, imaging experts, biologists, and computational chemists, and leverages cross-domain expertise to contribute to a rigorous scientific evidence package strategically aligned with molecule development cycle
    • Extensive hands-on coding and actively contribute to platform development
    • Document and disseminate research findings internally and externally (e.g.- publishing in top-tier ML conferences/journals)


    Qualifications:

    • Ph.D. in Electrical Engineering /Biomedical Engineering/Computer Science/Applied Mathematics or related majors
    • Strong technical expertise in AI / deep learning with excellent analytical skills in at least one domain area with proven track records (publication in top-tier journals, awards, patents, white papers)
    • Extensive, hands-on experience in AI/ML in related applications such as High-dimensional biomedical imaging/ Computer Vision/ Omics Analysis/ AI-based Drug Design/ and other related field.
    • Proficiency with one or more programming language, preferably Python. Proficiency in one or more AI framework such as Pytorch or Tensorflow
    • Good communication skills an able to present analytical results on behalf of the project team in a cross-functional setting, contextualizing how it fits within the broader project


    Benefits: Employees may be eligible to participate in Company employee benefit programs such as health insurance, savings plan, pension plan, disability plan, vacation pay, sick time, holiday pay, and work, personal and family time off in accordance with the terms of the applicable plans. For additional general information on company benefits, please go to: https://www.careers.jnj.com/employee-benefits


    At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, candidates offered employment must show proof of COVID-19 vaccination or secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work.

    Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +4003164685,https://ch.linkedin.com/jobs/view/machine-learning-engineer-at-panda-4003164685?position=20&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=%2BVhWVPhnyAfP7Jec0OmzwQ%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Panda,"Basel, Basel, Switzerland","LocationBasel, SwitzerlandBusiness SectorAIContact emailJob ref23545Published5 days ago + +We are seeking a talented Machine Learning Engineer to join one of our clients in MedTech. In this role you will be responsible for designing, developing, and deploying machine learning models to drive innovation in healthcare solutions. You will work closely with data scientists, software engineers, and clinicians to integrate machine learning into real-world applications that impact patient care. + +Responsibilities + + +Develop and implement machine learning algorithms to solve complex healthcare problems. +Collaborate with cross-functional teams to design and integrate machine learning models into production systems. +Work with large datasets to train, validate, and optimize machine learning models. +Enhance model performance through techniques such as feature engineering, hyperparameter tuning, and algorithm optimization. +Ensure scalability, reliability, and security of deployed models in a healthcare environment. + + + +Qualifications + + +Proven experience in machine learning and data science, within the MedTech sector. +Proficiency in Python, TensorFlow, PyTorch, or similar frameworks. +Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data processing tools. +Strong understanding of statistical analysis, data modeling, and machine learning algorithms. +Excellent problem-solving skills and a team-oriented mindset. +Professional proficiency in English. + + + +Can this be interesting for you or anyone you know? If so, please send Gabriel Andrade: g.andrade@panda-int.com, your number/CV ASAP and I'll give you a call. Interviews will start next week. + +Position: ML Engineer + +Contract: FT + +Location: Basel + +Start Date: Immediately or by agreement +Show more ","
    + + + + + +
    +
    + LocationBasel, SwitzerlandBusiness SectorAIContact emailJob ref23545Published5 days ago

    We are seeking a talented Machine Learning Engineer to join one of our clients in MedTech. In this role you will be responsible for designing, developing, and deploying machine learning models to drive innovation in healthcare solutions. You will work closely with data scientists, software engineers, and clinicians to integrate machine learning into real-world applications that impact patient care.

    Responsibilities

    • Develop and implement machine learning algorithms to solve complex healthcare problems.
    • Collaborate with cross-functional teams to design and integrate machine learning models into production systems.
    • Work with large datasets to train, validate, and optimize machine learning models.
    • Enhance model performance through techniques such as feature engineering, hyperparameter tuning, and algorithm optimization.
    • Ensure scalability, reliability, and security of deployed models in a healthcare environment.


    Qualifications

    • Proven experience in machine learning and data science, within the MedTech sector.
    • Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
    • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data processing tools.
    • Strong understanding of statistical analysis, data modeling, and machine learning algorithms.
    • Excellent problem-solving skills and a team-oriented mindset.
    • Professional proficiency in English.


    Can this be interesting for you or anyone you know? If so, please send Gabriel Andrade: g.andrade@panda-int.com, your number/CV ASAP and I'll give you a call. Interviews will start next week.

    Position: ML Engineer

    Contract: FT

    Location: Basel

    Start Date: Immediately or by agreement +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3994428368,https://ch.linkedin.com/jobs/view/python-developer-at-rjc-group-3994428368?position=21&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=ZExB%2FdZwCGg7YPv%2FdtlQ%2BQ%3D%3D&trk=public_jobs_jserp-result_search-card,Python Developer,RJC Group,"Geneva, Switzerland","Python Developer - Energy Trading - Geneva (Relocation offered) + + + + +We are working with one of our largest Energy Trading clients who are looking for Python Developer to join their European front office trading team. + + + + +You will be based in their Geneva office and you'll be tasked with working directly with traders and quants, working in a fast paced environment on highly complex problem solving scenarios. Confident communication skills are a must have. + + + + +Requirements: + +Strong Python skills +Any front end framework would be nice to have +Experience working closely with front office traders + + + + +Benefits: Salary up to 150k CHF + 50%+ Bonus + + + + +Hybrid Working - 2/3 days a week in Geneva office + + + + +Full Relocation provided for UK and EU Nationals Candidates MUST relocate or be based in Switzerland + + + + +If interested in this opportunity please leave your CV attached. + +Show more ","
    + + + + + +
    +
    +

    Python Developer - Energy Trading - Geneva (Relocation offered)


    We are working with one of our largest Energy Trading clients who are looking for Python Developer to join their European front office trading team.


    You will be based in their Geneva office and you'll be tasked with working directly with traders and quants, working in a fast paced environment on highly complex problem solving scenarios. Confident communication skills are a must have.


    Requirements:

    • Strong Python skills
    • Any front end framework would be nice to have
    • Experience working closely with front office traders


    Benefits: Salary up to 150k CHF + 50%+ Bonus


    Hybrid Working - 2/3 days a week in Geneva office


    Full Relocation provided for UK and EU Nationals Candidates MUST relocate or be based in Switzerland


    If interested in this opportunity please leave your CV attached.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3987038793,https://ch.linkedin.com/jobs/view/machine-learning-engineer-at-elca-group-3987038793?position=24&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=DYpVUw2gthMpjW3TbMbLwQ%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,ELCA Group,"Pully, Vaud, Switzerland","For our locations in Lausanne (preferably) or Geneva, we are looking for an experienced Data Scientist. + +In order to further strengthen our Data Science team, we offer a diversified and interesting job to a person with motivation, initiative and good sense of service quality provided to our customers. + + + + +In this role + +As a ML engineer, you will be part of a consultants’ team to deliver services, mandates and or projects dealing with artificial intelligence, Machine Learning issues in increasingly ambitious customer context. In your role you will be involved in: + +• Realization of data science/ML/AI projects (data sources ingestion, data processing, Modeling, tests, deployments) + +• Optimization and industrialization of machine learning and artificial intelligence models. + +• Understanding customer needs in order to offer solutions in line with their expectations + +• Project documentation (design, production, deployment, etc.), + +• Managing the evolutions of the proposed solutions, and possibly ensure their maintenance. + +• Technological monitoring and follow-up of the main market developments + + + + +What we offer + +• A key role in a multidisciplinary service company, a leader in Switzerland in the field of new technologies + +• A pleasant working environment in a young and motivated team + +• Coaching by our Data Science experts and managers + +• Attractive development opportunities in various technological fields with further responsibilities + +• A wide range of exciting and interesting projects in various industry + + + + +About your profile + +For this vacancy we expect a candidate with a master's degree of a university, university of applied sciences or technical college with at least two-years hands-on experience plus a significant internship. + +• Strong skills in machine learning algorithms + +• Knowledge in NLP and text classification and a good understanding of LLMs + +• Knowledge in various programming languages (Python, PySpark, Scala…) + +• Comfortable with CI/CD or MLOps concept + +• Knowledge of Microsoft Azure platform and/or AWS is a strong plus. + + + + +Other skills: + +• Flexibility to travel around Switzerland + +• Curious and willing to learn + +• Speaking german is a strong plus + +• Your strengths include an efficient style of working in a team, a distinct customer focus and very good communication skills. + +Show more ","
    + + + + + +
    +
    +

    For our locations in Lausanne (preferably) or Geneva, we are looking for an experienced Data Scientist.

    In order to further strengthen our Data Science team, we offer a diversified and interesting job to a person with motivation, initiative and good sense of service quality provided to our customers.


    In this role

    As a ML engineer, you will be part of a consultants’ team to deliver services, mandates and or projects dealing with artificial intelligence, Machine Learning issues in increasingly ambitious customer context. In your role you will be involved in:

    • Realization of data science/ML/AI projects (data sources ingestion, data processing, Modeling, tests, deployments)

    • Optimization and industrialization of machine learning and artificial intelligence models.

    • Understanding customer needs in order to offer solutions in line with their expectations

    • Project documentation (design, production, deployment, etc.),

    • Managing the evolutions of the proposed solutions, and possibly ensure their maintenance.

    • Technological monitoring and follow-up of the main market developments


    What we offer

    • A key role in a multidisciplinary service company, a leader in Switzerland in the field of new technologies

    • A pleasant working environment in a young and motivated team

    • Coaching by our Data Science experts and managers

    • Attractive development opportunities in various technological fields with further responsibilities

    • A wide range of exciting and interesting projects in various industry


    About your profile

    For this vacancy we expect a candidate with a master's degree of a university, university of applied sciences or technical college with at least two-years hands-on experience plus a significant internship.

    • Strong skills in machine learning algorithms

    • Knowledge in NLP and text classification and a good understanding of LLMs

    • Knowledge in various programming languages (Python, PySpark, Scala…)

    • Comfortable with CI/CD or MLOps concept

    • Knowledge of Microsoft Azure platform and/or AWS is a strong plus.


    Other skills:

    • Flexibility to travel around Switzerland

    • Curious and willing to learn

    • Speaking german is a strong plus

    • Your strengths include an efficient style of working in a team, a distinct customer focus and very good communication skills.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +3897766242,https://ch.linkedin.com/jobs/view/data-science-internship-6-months-at-sulzer-3897766242?position=25&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=iIiM2efAZlwisHt%2FGSQtsQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Science Internship (6 months),Sulzer,"Oberwinterthur, Zurich, Switzerland","CT_Technology & Innovation-E122 + +Data Science Internship (6 months) - Full Time - Oberwinterthur, Switzerland + +Sulzer is a leading engineering company with a proud heritage of innovation. Join our global team to grow your expertise and develop innovative solutions that enable a prosperous and more sustainable society. + +We are looking for a Data Science Trainee for 6 months to join our Technology and Innovation team in the Research and Development function in Oberwinterthur, Switzerland. + +You will be part of our R&D organization and experience the development of new products from the ideation phase to market-ready products for our Separation Technology business unit. The focus for this position will be on our digitalization initiative. You will work with a dynamic and innovative team to support data-driven product development. + +Your main tasks and responsibilities: + + +Building workflows to capture and structure data from our pilot plants and production facilities. +Statistical and machine-learning-assisted analyses of the data to identify critical parameters and optimize product development. +Implement new analytical technologies to further enhance our digitalization efforts. + + +To succeed in this role, you will need: + + +We look for excellent students in Chemical, Process or Mechanical Engineering (or related fields). +Strong data science experience in areas including statistical modeling, data mining, data visualization and data-driven analyses. +Proficiency in a programming language such as Python or R. +Knowledge of databases and data pipelines. +Demonstrated proficiency in Microsoft Office is expected. +Ability to co-ordinate and prioritize various tasks. +Driven, innovative and curious mindset. + + +What we offer you: + + +25 days holiday (exclusive of bank holidays) +Defined contribution pension scheme +Employee Assistance Program/health care +On-site car parking/public transport allowance +Access to a wide range of discounts + + +No visa or work permit support can be provided for this role. + +To complete your application, we kindly ask you to include your CV and other supporting documentation, such as academic transcripts, and, if available, written references. + +Sulzer is an equal opportunity employer. We believe in the strength of a diverse workforce and are committed to offering an inclusive work environment. + +We are proud to be recognized as a Top Employer 2024 in Brazil, China, Germany, Switzerland, the United Kingdom and the United States. +Show more ","
    + + + + + +
    +
    + CT_Technology & Innovation-E122

    Data Science Internship (6 months) - Full Time - Oberwinterthur, Switzerland

    Sulzer is a leading engineering company with a proud heritage of innovation. Join our global team to grow your expertise and develop innovative solutions that enable a prosperous and more sustainable society.

    We are looking for a Data Science Trainee for 6 months to join our Technology and Innovation team in the Research and Development function in Oberwinterthur, Switzerland.

    You will be part of our R&D organization and experience the development of new products from the ideation phase to market-ready products for our Separation Technology business unit. The focus for this position will be on our digitalization initiative. You will work with a dynamic and innovative team to support data-driven product development.

    Your main tasks and responsibilities:

    • Building workflows to capture and structure data from our pilot plants and production facilities.
    • Statistical and machine-learning-assisted analyses of the data to identify critical parameters and optimize product development.
    • Implement new analytical technologies to further enhance our digitalization efforts.

    To succeed in this role, you will need:

    • We look for excellent students in Chemical, Process or Mechanical Engineering (or related fields).
    • Strong data science experience in areas including statistical modeling, data mining, data visualization and data-driven analyses.
    • Proficiency in a programming language such as Python or R.
    • Knowledge of databases and data pipelines.
    • Demonstrated proficiency in Microsoft Office is expected.
    • Ability to co-ordinate and prioritize various tasks.
    • Driven, innovative and curious mindset.

    What we offer you:

    • 25 days holiday (exclusive of bank holidays)
    • Defined contribution pension scheme
    • Employee Assistance Program/health care
    • On-site car parking/public transport allowance
    • Access to a wide range of discounts

    No visa or work permit support can be provided for this role.

    To complete your application, we kindly ask you to include your CV and other supporting documentation, such as academic transcripts, and, if available, written references.

    Sulzer is an equal opportunity employer. We believe in the strength of a diverse workforce and are committed to offering an inclusive work environment.

    We are proud to be recognized as a Top Employer 2024 in Brazil, China, Germany, Switzerland, the United Kingdom and the United States. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3984932218,https://ch.linkedin.com/jobs/view/ai-researcher-llm-100%25-remote-switzerland-at-tether-io-3984932218?position=26&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=zUnRhjaqvQco9g0c8zA68Q%3D%3D&trk=public_jobs_jserp-result_search-card,AI Researcher (LLM) - (100% remote - Switzerland),Tether.io,Switzerland,"At Tether, we're committed to making advanced AI technologies more accessible. Thanks to its investment in AI infrastructure, starting from Northern Data, Tether is now in a prime position to tackle ambitious AI projects. Our goal is to build the next generation of AI models, leading innovation in AI, through an accessible, transparent and privacy preserving approach. + +The role involves building AI solutions across the spectrum from large-scale models designed for advanced applications to smaller, highly performant models tailored for efficiency on edge devices such as mobile phones and laptops. + +Our dynamic team operates entirely remotely, uniting talent from every corner of the globe. Our journey has been marked by rapid growth and efficient operations, firmly establishing us as pioneers within the industry. Join us in building AI models and solutions that not only compete with but exceed the capabilities of current leaders, driving both technological advancement and broad accessibility. + +What You'll Do: + + +Research and Development of multimodal AI models that set new industry standards. +Collaborate with other departments to ensure our AI models are effectively integrated into market-driven solutions. +A degree in Computer Science. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D(with good publications in A* conferences). +Experience building a LLM or other large models from scratch including writing model code, gathering training data, optimizing training and inference. +Strong experience in NLP, multimodal learning, proficient in TensorFlow, PyTorch, JAX and CUDA toolkit. +Excellent programming skills in Python. +Show more ","
    + + + + + +
    +
    + At Tether, we're committed to making advanced AI technologies more accessible. Thanks to its investment in AI infrastructure, starting from Northern Data, Tether is now in a prime position to tackle ambitious AI projects. Our goal is to build the next generation of AI models, leading innovation in AI, through an accessible, transparent and privacy preserving approach.

    The role involves building AI solutions across the spectrum from large-scale models designed for advanced applications to smaller, highly performant models tailored for efficiency on edge devices such as mobile phones and laptops.

    Our dynamic team operates entirely remotely, uniting talent from every corner of the globe. Our journey has been marked by rapid growth and efficient operations, firmly establishing us as pioneers within the industry. Join us in building AI models and solutions that not only compete with but exceed the capabilities of current leaders, driving both technological advancement and broad accessibility.

    What You'll Do:

    • Research and Development of multimodal AI models that set new industry standards.
    • Collaborate with other departments to ensure our AI models are effectively integrated into market-driven solutions.
    • A degree in Computer Science. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D(with good publications in A* conferences).
    • Experience building a LLM or other large models from scratch including writing model code, gathering training data, optimizing training and inference.
    • Strong experience in NLP, multimodal learning, proficient in TensorFlow, PyTorch, JAX and CUDA toolkit.
    • Excellent programming skills in Python.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-26,[] +3965135256,https://ch.linkedin.com/jobs/view/data-scientist-at-quantco-3965135256?position=27&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=C5PmDTZ7qkMMF1nwwCArQA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,QuantCo,"Zurich, Zurich, Switzerland","Data Scientists at QuantCo will learn what it takes to create impact from data: identifying the right framework to translate a business question into a statistical problem; locating and combining data sources as well as transforming large datasets; running in-depth analyses; building machine learning models that automate large-scale decisions and integrating them into live business processes; and interpreting, visualizing, and communicating results to internal and external stakeholders. + +We are looking for team players who have excellent quantitative abilities and: + + +A degree in economics, statistics, mathematics, computer science, engineering, physics, or similar fields +In-depth understanding of mathematical and statistical concepts behind most common machine learning techniques and a proven interest in causal inference questions, e.g., A/B tests +Experience in coding and working with data (from a previous research or industry internship or extensive course projects) using a wide range of tools and languages: Python (Pandas, XGBoost/LightGBM), R (dplyr, ggplot2), and git +Ability to see solutions and opportunities that others do not see +High level of commitment and reliability, good balance of pragmatism and perfectionism +Business proficiency in German + + + +Bonus if skilled in any of the following tools and/or languages: + + +SQL +Tensorflow +Keras +Cloud infrastructure +Docker +Lower-level languages like C#/C++/C + + + +What We Offer + +You will be part of a smart, motivated, and driven team that revels in working on challenging problems and finding novel solutions; values our customers and users; and strives to deliver thoughtful and impactful products. You will be surrounded by people that respect each other and the contributions each of us brings. We offer a generous compensation package that includes a base salary, bonus, stock options, and relocation support along with additional location-based benefits. + +About QuantCo + +At QuantCo, we leverage expertise in data science, engineering, and economics to help organizations turn data into decisions. Started by 4 PhDs from Harvard and Stanford, we are now more than 180 professionals with extensive quantitative, engineering, and business experience. We are globally distributed with offices in Berlin, Boston, Cologne, Karlsruhe, London, Munich, San Francisco, and Zurich. + +Our solutions include algorithmic pricing, data-driven claims management, and high-dimensional forecasting systems. Our customers include some of the largest financial, retail, and healthcare organizations in the US and Europe. We impact core business processes and decisions by combining advanced data-driven insights with scalable engineering solutions. + +We are excited about writing mission-critical code that affects millions of people and impacts billions of dollars. If you feel the same way, we look forward to hearing from you. + +QuantCo does not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. +Show more ","
    + + + + + +
    +
    + Data Scientists at QuantCo will learn what it takes to create impact from data: identifying the right framework to translate a business question into a statistical problem; locating and combining data sources as well as transforming large datasets; running in-depth analyses; building machine learning models that automate large-scale decisions and integrating them into live business processes; and interpreting, visualizing, and communicating results to internal and external stakeholders.

    We are looking for team players who have excellent quantitative abilities and:

    • A degree in economics, statistics, mathematics, computer science, engineering, physics, or similar fields
    • In-depth understanding of mathematical and statistical concepts behind most common machine learning techniques and a proven interest in causal inference questions, e.g., A/B tests
    • Experience in coding and working with data (from a previous research or industry internship or extensive course projects) using a wide range of tools and languages: Python (Pandas, XGBoost/LightGBM), R (dplyr, ggplot2), and git
    • Ability to see solutions and opportunities that others do not see
    • High level of commitment and reliability, good balance of pragmatism and perfectionism
    • Business proficiency in German


    Bonus if skilled in any of the following tools and/or languages:

    • SQL
    • Tensorflow
    • Keras
    • Cloud infrastructure
    • Docker
    • Lower-level languages like C#/C++/C


    What We Offer

    You will be part of a smart, motivated, and driven team that revels in working on challenging problems and finding novel solutions; values our customers and users; and strives to deliver thoughtful and impactful products. You will be surrounded by people that respect each other and the contributions each of us brings. We offer a generous compensation package that includes a base salary, bonus, stock options, and relocation support along with additional location-based benefits.

    About QuantCo

    At QuantCo, we leverage expertise in data science, engineering, and economics to help organizations turn data into decisions. Started by 4 PhDs from Harvard and Stanford, we are now more than 180 professionals with extensive quantitative, engineering, and business experience. We are globally distributed with offices in Berlin, Boston, Cologne, Karlsruhe, London, Munich, San Francisco, and Zurich.

    Our solutions include algorithmic pricing, data-driven claims management, and high-dimensional forecasting systems. Our customers include some of the largest financial, retail, and healthcare organizations in the US and Europe. We impact core business processes and decisions by combining advanced data-driven insights with scalable engineering solutions.

    We are excited about writing mission-critical code that affects millions of people and impacts billions of dollars. If you feel the same way, we look forward to hearing from you.

    QuantCo does not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +4005578755,https://ch.linkedin.com/jobs/view/senior-machine-learning-engineer-at-barrington-james-4005578755?position=30&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=G%2FSNF5QtiaApJ8xZ2dXQhQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Machine Learning Engineer,Barrington James,"Zurich, Switzerland","I am collaborating with a very exciting, incredibly well backed, start up, Biotech company with offices in Amsterdam and Zurich + + + + + + + +My client uses their data platform, multi-modal foundation models, and derived applications, to uncover deep insights within data to transform healthcare delivery and enhance patient outcomes. + + + + + + + +They are looking for a highly skilled Machine Learning Engineer with a strong research background to join their Multimodal Team. The ideal candidate will have expertise in working with vision and language modalities, with a preference for experience in their fusion. While a medical background is a plus, it is not required; their primary focus is on advanced ML engineering capabilities. + + + + + + + +Key Responsibilities + + + + + + + +Develop and optimize machine learning models for multimodal applications, with a focus on vision and language modalities. +Design and implement scalable machine learning systems, particularly for large-scale distributed training environments. +Utilize PyTorch and PyTorch Lightning to build, train, and deploy ML models, ensuring robust performance and efficiency. +Collaborate with cross-functional teams to integrate ML models into production environments. +Stay up-to-date with the latest advancements in machine learning, particularly in multimodal and distributed systems. +Participate in code reviews, contribute to the development of best practices, and mentor junior engineers. + + + + + + + + + + +Qualifications + + + + + + + +Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. A Ph.D. is a plus but not required. +Proven experience as a Machine Learning Engineer, with a focus on vision and language modalities. +Strong background in developing and deploying machine learning models at scale, particularly in distributed settings. +Extensive experience with PyTorch and PyTorch Lightning, including large-scale training and deployment. +Experience in large language model (LLM) training (pre-training or post-training) is highly desirable. + + + + + + + +Preferred Qualifications: + + + + + + + +Experience with multimodal fusion techniques. +Familiarity with medical applications of machine learning is a plus, but not mandatory. +Strong problem-solving skills and the ability to work in a fast-paced environment. +Excellent communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders. + + + + + + + +Benefits + + + + + + + +Comprehensive salary +Long term incentives +25+ days holiday +Clear development pathway + + + + + + + + + + +Following your application Joe Templeman, a specialist AI Recruiter will discuss the opportunity with you in detail. + + + + + + + +He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available. + + + + + + + +This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment. + + + + + + + +Please click ‘apply’ or contact Joe Templeman for any further information + +Joe Templeman + +Recruitment Manager – Barrington James + +Email: jtempleman (at) barringtonjames.com + +Show more ","
    + + + + + +
    +
    +

    I am collaborating with a very exciting, incredibly well backed, start up, Biotech company with offices in Amsterdam and Zurich



    My client uses their data platform, multi-modal foundation models, and derived applications, to uncover deep insights within data to transform healthcare delivery and enhance patient outcomes.



    They are looking for a highly skilled Machine Learning Engineer with a strong research background to join their Multimodal Team. The ideal candidate will have expertise in working with vision and language modalities, with a preference for experience in their fusion. While a medical background is a plus, it is not required; their primary focus is on advanced ML engineering capabilities.



    Key Responsibilities



    • Develop and optimize machine learning models for multimodal applications, with a focus on vision and language modalities.
    • Design and implement scalable machine learning systems, particularly for large-scale distributed training environments.
    • Utilize PyTorch and PyTorch Lightning to build, train, and deploy ML models, ensuring robust performance and efficiency.
    • Collaborate with cross-functional teams to integrate ML models into production environments.
    • Stay up-to-date with the latest advancements in machine learning, particularly in multimodal and distributed systems.
    • Participate in code reviews, contribute to the development of best practices, and mentor junior engineers.




    Qualifications



    • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. A Ph.D. is a plus but not required.
    • Proven experience as a Machine Learning Engineer, with a focus on vision and language modalities.
    • Strong background in developing and deploying machine learning models at scale, particularly in distributed settings.
    • Extensive experience with PyTorch and PyTorch Lightning, including large-scale training and deployment.
    • Experience in large language model (LLM) training (pre-training or post-training) is highly desirable.



    Preferred Qualifications:



    • Experience with multimodal fusion techniques.
    • Familiarity with medical applications of machine learning is a plus, but not mandatory.
    • Strong problem-solving skills and the ability to work in a fast-paced environment.
    • Excellent communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders.



    Benefits



    • Comprehensive salary
    • Long term incentives
    • 25+ days holiday
    • Clear development pathway




    Following your application Joe Templeman, a specialist AI Recruiter will discuss the opportunity with you in detail.



    He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available.



    This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.



    Please click ‘apply’ or contact Joe Templeman for any further information

    Joe Templeman

    Recruitment Manager – Barrington James

    Email: jtempleman (at) barringtonjames.com

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3944226135,https://ch.linkedin.com/jobs/view/applied-scientist-nlp-at-thomson-reuters-3944226135?position=31&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=3Li8Ov5AIU0gOMOW2F1h7w%3D%3D&trk=public_jobs_jserp-result_search-card,"Applied Scientist, NLP",Thomson Reuters,"Zug, Zug, Switzerland","Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Zug is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. + +What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility. + +About The Role + +As an Applied Scientist, you will: + + +Experiment and Develop: You will execute the entire model development lifecycle, from prototype to delivery, while applying best practices for reproducible research and well-managed software delivery. +Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. +Deliver: You will be accountable for timely, well-managed deliverables. +Innovate: You will be empowered to try new approaches and learn new technologies. You will implement innovative ideas to solve real-world challenges. +Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. + + + +About You + +You’re a fit for the role of Applied Scientist, NLP if your background includes: + +Basic Qualifications + + +PhD in a relevant discipline or Master’s plus a comparable level of experience. +At least one year industry experience building IR/NLP/ML systems +Solid software engineering skills for prototyping +Outstanding communication and data analysis skills + + + +Preferred Qualifications + + +5+ years practical experience building IR, ML or NLP systems in academia or industry +Experience designing and implementing solutions with large language models +Relevant publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar. +Advanced proficiency in Python, Java, or Scala +Experience writing production quality code and contributing to well-managed software delivery. + + + +What's in it For You? + +You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through: + + +Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected +Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing. +Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more. +Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking. +Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact. +Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. + + + +DISCLAIMER + +The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. + +Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing. + +We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. + +Accessibility + +As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace. + +We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. + + +Show more ","
    + + + + + +
    +
    + Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Zug is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI.

    What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility.

    About The Role

    As an Applied Scientist, you will:

    • Experiment and Develop: You will execute the entire model development lifecycle, from prototype to delivery, while applying best practices for reproducible research and well-managed software delivery.
    • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.
    • Deliver: You will be accountable for timely, well-managed deliverables.
    • Innovate: You will be empowered to try new approaches and learn new technologies. You will implement innovative ideas to solve real-world challenges.
    • Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.


    About You

    You’re a fit for the role of Applied Scientist, NLP if your background includes:

    Basic Qualifications

    • PhD in a relevant discipline or Master’s plus a comparable level of experience.
    • At least one year industry experience building IR/NLP/ML systems
    • Solid software engineering skills for prototyping
    • Outstanding communication and data analysis skills


    Preferred Qualifications

    • 5+ years practical experience building IR, ML or NLP systems in academia or industry
    • Experience designing and implementing solutions with large language models
    • Relevant publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar.
    • Advanced proficiency in Python, Java, or Scala
    • Experience writing production quality code and contributing to well-managed software delivery.


    What's in it For You?

    You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

    • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected
    • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
    • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
    • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
    • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
    • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.


    DISCLAIMER

    The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

    Accessibility

    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-11,[] +4007176565,https://ch.linkedin.com/jobs/view/junior-software-engineer-c%2B-python-ep-sft-2024-128-grae-at-tietalent-4007176565?position=32&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=keA4%2BVZ%2FpfLzuiG1l9%2BXUg%3D%3D&trk=public_jobs_jserp-result_search-card,"Junior Software Engineer (C+, Python) (EP-SFT-2024-128-GRAE)",TieTalent,"Geneva, Geneva, Switzerland","Job Description + +Your responsibilities + +Are you a recently-graduated scientist interested in contributing to scientific software, or a software engineer keen on diving into the challenges of High Energy Physics data processing? Do you like intuitive, simple and powerful interfaces? Join the ROOT team (https://root.cern) and become a core contributor to the software R&D at the heart of LHC data processing. + +In Particular, You Will + + +Improve the usage and feel of ROOT as a Python package. +Improve the ergonomics of Python interfaces offered by ROOT statistics and analysis tools such as histograms, graphs or RDataFrame. +Contribute to the baseline support and maintenance tasks of the project. + + +Your profile + +Skills and/or knowledge + +The following list of skills (in order of priority) characterises the ideal candidate: + + +Experience with software version control (e.g. git) +Knowledge of the C++ language: how to write, compile and run programs; developing code for a package; concepts of thread-safety +Python knowledge and experience with writing code for a repository + + +Optional But a Plus + + +Basic knowledge of Python packages for distributed analysis (e.g. Dask, PySpark, Ray) +Experience with using ROOT +Experience with HEP experiments code, their data lifecycle and analysis workflows + + +Eligibility Criteria + + +You are a national of a CERN Member or Associate Member State. +By the application deadline, you have a maximum of two years of professional experience since graduation in STEM (or a related field) and your highest educational qualification is either a Bachelor's or Master's degree. +You have never had a CERN fellow or graduate contract before. +Applicants without University degree are not eligible. +Applicants with a PhD are not eligible. + + +Additional Information + +Job closing date: September 1 at 23:59 AM hrs CEST. + +Job reference: EP-SFT-2024-128-GRAE + +Contract duration: 24 months, with a possible extension up to 36 months maximum. + +Target start date: 01-October-2024 + +What We Offer + + +A monthly stipend ranging between 5134 and 5647 Swiss Francs (net of tax). +Coverage by CERN's comprehensive health scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund. +Depending on your individual circumstances: installation grant; family, child and infant allowances; payment of travel expenses at the beginning and end of contract. +30 days of paid leave per year. +On-the-job and formal training at CERN as well as in-house language courses for English and/or French. + + +About Us + +At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Find out more on http://home.cern. + +Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success. + +#J-18808-Ljbffr +Show more ","
    + + + + + +
    +
    + Job Description

    Your responsibilities

    Are you a recently-graduated scientist interested in contributing to scientific software, or a software engineer keen on diving into the challenges of High Energy Physics data processing? Do you like intuitive, simple and powerful interfaces? Join the ROOT team (https://root.cern) and become a core contributor to the software R&D at the heart of LHC data processing.

    In Particular, You Will

    • Improve the usage and feel of ROOT as a Python package.
    • Improve the ergonomics of Python interfaces offered by ROOT statistics and analysis tools such as histograms, graphs or RDataFrame.
    • Contribute to the baseline support and maintenance tasks of the project.

    Your profile

    Skills and/or knowledge

    The following list of skills (in order of priority) characterises the ideal candidate:

    • Experience with software version control (e.g. git)
    • Knowledge of the C++ language: how to write, compile and run programs; developing code for a package; concepts of thread-safety
    • Python knowledge and experience with writing code for a repository

    Optional But a Plus

    • Basic knowledge of Python packages for distributed analysis (e.g. Dask, PySpark, Ray)
    • Experience with using ROOT
    • Experience with HEP experiments code, their data lifecycle and analysis workflows

    Eligibility Criteria

    • You are a national of a CERN Member or Associate Member State.
    • By the application deadline, you have a maximum of two years of professional experience since graduation in STEM (or a related field) and your highest educational qualification is either a Bachelor's or Master's degree.
    • You have never had a CERN fellow or graduate contract before.
    • Applicants without University degree are not eligible.
    • Applicants with a PhD are not eligible.

    Additional Information

    Job closing date: September 1 at 23:59 AM hrs CEST.

    Job reference: EP-SFT-2024-128-GRAE

    Contract duration: 24 months, with a possible extension up to 36 months maximum.

    Target start date: 01-October-2024

    What We Offer

    • A monthly stipend ranging between 5134 and 5647 Swiss Francs (net of tax).
    • Coverage by CERN's comprehensive health scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
    • Depending on your individual circumstances: installation grant; family, child and infant allowances; payment of travel expenses at the beginning and end of contract.
    • 30 days of paid leave per year.
    • On-the-job and formal training at CERN as well as in-house language courses for English and/or French.

    About Us

    At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Find out more on http://home.cern.

    Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success.

    #J-18808-Ljbffr +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3994563562,https://ch.linkedin.com/jobs/view/senior-data-scientist-f-m-d-at-axpo-group-3994563562?position=33&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=N44f9iaF5MwDgtVsGwMiKg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist (f/m/d),Axpo Group,"Baden, Aargau, Switzerland","Workload: 100% + +Join us as a Senior Data Scientist in our Advanced Analytics Team at Axpo, where you will play a pivotal role in advancing the Data Analytics and Machine Learning capabilities within our Trading and Sales Business. As an integral member of our motivated team, you will closely collaborate with cross-functional professionals to drive the development and implementation of innovative data solutions. + +What you will do: + + +Design, implement, and operate advanced data solutions within a professional cloud-based analytics framework to enhance the efficiency and profitability of our energy trading activities. +Collaborate closely with trading desks to understand emerging challenges and deliver data-driven insights through market analysis, statistical modeling, and optimization methods. +Apply state-of-the-art machine learning techniques to optimize trading strategies and decision-making processes, including explainers and drift methodologies to assess model accuracy and reliability. +Engage proactively in insight creation using backtesting and scenario analysis, translating them into impactful business opportunities. +Utilize data visualization and storytelling techniques to effectively communicate complex data insights. +Shape and expand the Advanced Analytics use case portfolio across Europe. +Collaborate with an international team of Data Engineers and Scientists in a dedicated data environment. + + + +What you bring & who you are: + + +Master’s degree in Data Science, Engineering, Mathematics, or equivalent practical experience. +Proven experience with machine learning algorithms and time series analysis, applied to data-driven trading strategies or decision-making processes. +Strong conceptual skills and the ability to engage with diverse audiences to promote and democratize Advanced Analytics use cases in energy trading. +Ability to prototype ideas, perform critical analysis, and use pragmatic approaches to solve complex tasks while effectively translating business requirements into actionable plans for successful implementation. +High proficiency in Python and query languages such as SQL. +Experience with data visualization tools (e.g., Power BI). +Familiarity with MLOps best practices, including the deployment, monitoring, and management of models running in production. +Team player with an entrepreneurial mindset, open to collaboration and knowledge sharing. +Proficient in English. + + + +About the team: + +At Axpo, you will join a motivated and dynamic team that collaborates closely with various cross-functional professionals across the organization. Our Advanced Analytics Team is dedicated to empowering data analytics and machine learning capabilities within the Trading and Sales Business, driving the development of innovative data solutions on a European level. We value creativity, innovation, and the ability to translate business requirements into valuable outcomes, fostering an environment where your expertise can grow. +Show more ","
    + + + + + +
    +
    + Workload: 100%

    Join us as a Senior Data Scientist in our Advanced Analytics Team at Axpo, where you will play a pivotal role in advancing the Data Analytics and Machine Learning capabilities within our Trading and Sales Business. As an integral member of our motivated team, you will closely collaborate with cross-functional professionals to drive the development and implementation of innovative data solutions.

    What you will do:

    • Design, implement, and operate advanced data solutions within a professional cloud-based analytics framework to enhance the efficiency and profitability of our energy trading activities.
    • Collaborate closely with trading desks to understand emerging challenges and deliver data-driven insights through market analysis, statistical modeling, and optimization methods.
    • Apply state-of-the-art machine learning techniques to optimize trading strategies and decision-making processes, including explainers and drift methodologies to assess model accuracy and reliability.
    • Engage proactively in insight creation using backtesting and scenario analysis, translating them into impactful business opportunities.
    • Utilize data visualization and storytelling techniques to effectively communicate complex data insights.
    • Shape and expand the Advanced Analytics use case portfolio across Europe.
    • Collaborate with an international team of Data Engineers and Scientists in a dedicated data environment.


    What you bring & who you are:

    • Master’s degree in Data Science, Engineering, Mathematics, or equivalent practical experience.
    • Proven experience with machine learning algorithms and time series analysis, applied to data-driven trading strategies or decision-making processes.
    • Strong conceptual skills and the ability to engage with diverse audiences to promote and democratize Advanced Analytics use cases in energy trading.
    • Ability to prototype ideas, perform critical analysis, and use pragmatic approaches to solve complex tasks while effectively translating business requirements into actionable plans for successful implementation.
    • High proficiency in Python and query languages such as SQL.
    • Experience with data visualization tools (e.g., Power BI).
    • Familiarity with MLOps best practices, including the deployment, monitoring, and management of models running in production.
    • Team player with an entrepreneurial mindset, open to collaboration and knowledge sharing.
    • Proficient in English.


    About the team:

    At Axpo, you will join a motivated and dynamic team that collaborates closely with various cross-functional professionals across the organization. Our Advanced Analytics Team is dedicated to empowering data analytics and machine learning capabilities within the Trading and Sales Business, driving the development of innovative data solutions on a European level. We value creativity, innovation, and the ability to translate business requirements into valuable outcomes, fostering an environment where your expertise can grow. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +4002003420,https://ch.linkedin.com/jobs/view/mlops-engineer-at-deeprec-ai-4002003420?position=36&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=ze0enItAszF%2BJEu9rEihbw%3D%3D&trk=public_jobs_jserp-result_search-card,MLOps Engineer,DeepRec.ai,"Basel, Switzerland","Our client, a ML focused consultancy in Switzerland who empower organizations to harness the full potential of data and AI. + + + + +We’re looking for a talented Data & MLOps Engineer to join their dynamic team and help our clients turn cutting-edge AI solutions into scalable, impactful realities. + + + + +Why Join ? + +• 🚀 Lead the way in operationalizing AI solutions, ensuring they deliver beyond prototypes and pilots. + +•🌍 Work on high-impact projects that span industries and geographies, making a difference worldwide. + +• 🧠 Establish yourself as a trusted advisor in DataOps and MLOps, guiding clients through their digital transformation journeys. + + + + +Your Key Responsibilities: + +• 🔍 Use your expertise in data, software, and machine learning engineering to guide clients through the challenges of digital transformation. + +• 🔧 Design and implement data pipelines, ML integrations, and reliability engineering practices to ensure scalable and reliable solutions. + +• 🏗️ Contribute to our innovative solution blueprints, like our ‘Digital Highway for Data & ML systems.’ + +• 📢 Take ownership of your work, lead technical discussions, and share your knowledge with our team and clients. + + + + +What We’re Looking For: + +• 💼 Minimum 3 years in Data, Machine Learning, or Software Engineering. + +• 🛠️ Strong hands-on experience with programming languages, distributed systems, SQL/NoSQL databases, cloud services, and more. + +• 🎓 Familiarity with major data and AI platforms like Snowflake, Databricks, and Dataiku. + +• 🌐 Fluent in German and English, with experience in client-facing roles. + + + + +Why? + +• 🌟 Engage with the latest in data, AI, and analytics to make a real impact across industries. + +• 🤝 Join a performance-driven, customer-focused team that values teamwork and knowledge sharing. + +• 🏡 Enjoy a hybrid working model that balances client needs with internal commitments. + +Show more ","
    + + + + + +
    +
    +

    Our client, a ML focused consultancy in Switzerland who empower organizations to harness the full potential of data and AI.


    We’re looking for a talented Data & MLOps Engineer to join their dynamic team and help our clients turn cutting-edge AI solutions into scalable, impactful realities.


    Why Join ?

    • 🚀 Lead the way in operationalizing AI solutions, ensuring they deliver beyond prototypes and pilots.

    •🌍 Work on high-impact projects that span industries and geographies, making a difference worldwide.

    • 🧠 Establish yourself as a trusted advisor in DataOps and MLOps, guiding clients through their digital transformation journeys.


    Your Key Responsibilities:

    • 🔍 Use your expertise in data, software, and machine learning engineering to guide clients through the challenges of digital transformation.

    • 🔧 Design and implement data pipelines, ML integrations, and reliability engineering practices to ensure scalable and reliable solutions.

    • 🏗️ Contribute to our innovative solution blueprints, like our ‘Digital Highway for Data & ML systems.’

    • 📢 Take ownership of your work, lead technical discussions, and share your knowledge with our team and clients.


    What We’re Looking For:

    • 💼 Minimum 3 years in Data, Machine Learning, or Software Engineering.

    • 🛠️ Strong hands-on experience with programming languages, distributed systems, SQL/NoSQL databases, cloud services, and more.

    • 🎓 Familiarity with major data and AI platforms like Snowflake, Databricks, and Dataiku.

    • 🌐 Fluent in German and English, with experience in client-facing roles.


    Why?

    • 🌟 Engage with the latest in data, AI, and analytics to make a real impact across industries.

    • 🤝 Join a performance-driven, customer-focused team that values teamwork and knowledge sharing.

    • 🏡 Enjoy a hybrid working model that balances client needs with internal commitments.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +3983980009,https://ch.linkedin.com/jobs/view/data-scientist-at-expleo-group-3983980009?position=37&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=EvbrgYXwOiVhZgIw6UWIFA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Expleo Group,"Geneva, Geneva, Switzerland","Expleo propose une offre unique de services intégrés d'ingénierie, qualité et conseil stratégique pour la transformation digitale. Dans un contexte d'accélération technologique sans précédent, nous sommes le partenaire de confiance des entreprises qui innovent. Nous les aidons à développer un avantage compétitif et à améliorer le quotidien de millions de personnes. + +Intégrer Expleo Switzerland, C’est 19 000 Collaborateurs, Dans 32 Pays, Avec €1.5Md De CA En 2023, Mais Également + + +Avoir un accompagnement technique et humain à chaque projet et un suivi performant de votre carrière +Réaliser des formations pour développer ses capacités professionnelles +Participer à des événements spéciaux dédiés +Intégrer une équipe dynamique + + +Data Scientist (HF) + +Afin d’accompagner notre croissance en Suisse, nous recherchons un Data Scientist (H/F) dont la mission principale sera d'accompagner le domaine métier « Industrialisation » d’un de nos clients dans le secteur de l’horlogerie, + +Mission + + +Accompagner le département industrialisation dans la construction de la vision stratégique des outils de data science +Elaborer des solutions de data science permettant de répondre aux besoins métier. +Identifier et formaliser le besoin en collaboration avec le métier et animer des ateliers. +Formuler les cahiers des charges des modèles de Machine Learning (ML). +Promouvoir les bonnes pratiques d’industrialisation des solutions de Data Science. +Mettre au point les prototypes Data Science et démontrer la valeur des solutions élaborées. +Concevoir et exécuter les tests nécessaires à la mise en production des livrables Data Science. +Permettre l’industrialisation des solutions prototypées en collaboration avec l'IT. +Collaborer à l’élaboration des interfaces permettant une utilisation élargie des modèles de Data Science. +Accompagner le métier dans l'optique d'évoluer vers une ""data driven company"". + + +Profil + + +Bachelor/Master en Ingénierie industrielle complétée par un Master en Data Science. +Expérience en milieu industriel et expérience démontrée de 5 ans en Data Science. +Pratique avérée de la Business analyse. +Connaissances nécessaires de Python, Machine Learning, Dataiku. +Leadership, autonomie, rigueur, proactivité. +Capacité à proposer et challenger les positions établies. +Aisance dans la communication avec tous types d'interlocuteurs, sens relationnel, goût pour le travail en équipe. + + +Seules les candidatures des citoyens suisses et de l'UE seront prises en compte / Nos postes sont accessibles aux personnes en situation de handicap / Télétravail possible +Show more ","
    + + + + + +
    +
    + Expleo propose une offre unique de services intégrés d'ingénierie, qualité et conseil stratégique pour la transformation digitale. Dans un contexte d'accélération technologique sans précédent, nous sommes le partenaire de confiance des entreprises qui innovent. Nous les aidons à développer un avantage compétitif et à améliorer le quotidien de millions de personnes.

    Intégrer Expleo Switzerland, C’est 19 000 Collaborateurs, Dans 32 Pays, Avec €1.5Md De CA En 2023, Mais Également

    • Avoir un accompagnement technique et humain à chaque projet et un suivi performant de votre carrière
    • Réaliser des formations pour développer ses capacités professionnelles
    • Participer à des événements spéciaux dédiés
    • Intégrer une équipe dynamique

    Data Scientist (HF)

    Afin d’accompagner notre croissance en Suisse, nous recherchons un Data Scientist (H/F) dont la mission principale sera d'accompagner le domaine métier « Industrialisation » d’un de nos clients dans le secteur de l’horlogerie,

    Mission

    • Accompagner le département industrialisation dans la construction de la vision stratégique des outils de data science
    • Elaborer des solutions de data science permettant de répondre aux besoins métier.
    • Identifier et formaliser le besoin en collaboration avec le métier et animer des ateliers.
    • Formuler les cahiers des charges des modèles de Machine Learning (ML).
    • Promouvoir les bonnes pratiques d’industrialisation des solutions de Data Science.
    • Mettre au point les prototypes Data Science et démontrer la valeur des solutions élaborées.
    • Concevoir et exécuter les tests nécessaires à la mise en production des livrables Data Science.
    • Permettre l’industrialisation des solutions prototypées en collaboration avec l'IT.
    • Collaborer à l’élaboration des interfaces permettant une utilisation élargie des modèles de Data Science.
    • Accompagner le métier dans l'optique d'évoluer vers une ""data driven company"".

    Profil

    • Bachelor/Master en Ingénierie industrielle complétée par un Master en Data Science.
    • Expérience en milieu industriel et expérience démontrée de 5 ans en Data Science.
    • Pratique avérée de la Business analyse.
    • Connaissances nécessaires de Python, Machine Learning, Dataiku.
    • Leadership, autonomie, rigueur, proactivité.
    • Capacité à proposer et challenger les positions établies.
    • Aisance dans la communication avec tous types d'interlocuteurs, sens relationnel, goût pour le travail en équipe.

    Seules les candidatures des citoyens suisses et de l'UE seront prises en compte / Nos postes sont accessibles aux personnes en situation de handicap / Télétravail possible +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +4007178327,https://ch.linkedin.com/jobs/view/platform-engineer-ingenieur-zurich-ch-at-tietalent-4007178327?position=38&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=%2B81YbzixPP4WscxB3NjEZA%3D%3D&trk=public_jobs_jserp-result_search-card,"Platform Engineer / Ingenieur | Zurich, CH",TieTalent,"Zurich, Zurich, Switzerland","Skills + +Our client in the private banking sector is currently looking for a Platform Engineer with strong skills in Apache Kafka, APIs, and DevOps to take their application landscape to the new level. This project will initially run for 1 year and will then likely be extended. To be a successful Platform Engineer, we think the following skills and experiences should be in someone's resumé: + + +Kafka Expertise: In-depth knowledge of Apache Kafka architecture, including topics, brokers, and proficiency in Kafka APIs, such as Producer and Consumer API, Kafka Streams API, and Kafka Connect API. +API Gateway Knowledge: Experience with any one of API Gateway technologies (e.g., Kong, Apigee) for managing and securing APIs. +Programming Languages: Strong skills in one of the languages such as Java, GO, and Python for developing Kafka applications. Familiarity with scripting languages like Bash, PHP, PowerShell, or Perl for automation tasks. +DevOps and CI/CD: Understanding of DevOps practices, including CI/CD pipelines for automating testing and deployment processes. +Distributed Systems: Strong understanding of distributed systems concepts, including replication, partitioning, and fault tolerance. +Monitoring and Logging: Familiarity with monitoring tools (e.g., Grafana, Kafka Manager) and logging frameworks to ensure system performance and reliability. +Automation and Scripting: Strong scripting and automation skills for managing infrastructure and deployments. +OS and Containers: Good hands-on experience with Linux and Kubernetes. + + +If the above aligns well with your experiences and interests, we would love to hear from you! Once we receive your CV, we will review it and get in touch with you should your expertise match the requirements of the role mentioned above. + +#J-18808-Ljbffr +Show more ","
    + + + + + +
    +
    + Skills

    Our client in the private banking sector is currently looking for a Platform Engineer with strong skills in Apache Kafka, APIs, and DevOps to take their application landscape to the new level. This project will initially run for 1 year and will then likely be extended. To be a successful Platform Engineer, we think the following skills and experiences should be in someone's resumé:

    • Kafka Expertise: In-depth knowledge of Apache Kafka architecture, including topics, brokers, and proficiency in Kafka APIs, such as Producer and Consumer API, Kafka Streams API, and Kafka Connect API.
    • API Gateway Knowledge: Experience with any one of API Gateway technologies (e.g., Kong, Apigee) for managing and securing APIs.
    • Programming Languages: Strong skills in one of the languages such as Java, GO, and Python for developing Kafka applications. Familiarity with scripting languages like Bash, PHP, PowerShell, or Perl for automation tasks.
    • DevOps and CI/CD: Understanding of DevOps practices, including CI/CD pipelines for automating testing and deployment processes.
    • Distributed Systems: Strong understanding of distributed systems concepts, including replication, partitioning, and fault tolerance.
    • Monitoring and Logging: Familiarity with monitoring tools (e.g., Grafana, Kafka Manager) and logging frameworks to ensure system performance and reliability.
    • Automation and Scripting: Strong scripting and automation skills for managing infrastructure and deployments.
    • OS and Containers: Good hands-on experience with Linux and Kubernetes.

    If the above aligns well with your experiences and interests, we would love to hear from you! Once we receive your CV, we will review it and get in touch with you should your expertise match the requirements of the role mentioned above.

    #J-18808-Ljbffr +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4005551980,https://ch.linkedin.com/jobs/view/senior-machine-learning-engineer-lausanne-at-visium-4005551980?position=39&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=FrSBJl7E1AqHiB51XgJ6Aw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Machine Learning Engineer (Lausanne),Visium,"Lausanne, Vaud, Switzerland","Title: Senior Machine Learning Engineer + +Type: Permanent contract + +Location: Switzerland (Lausanne or Zurich) + +About Us + +At Visium, we enable enterprise executives in defining their AI & Data strategy, executing large scale transformations and implementing AI across operations, ensuring their organization becomes future-proof. + +With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data. + +We're on a mission to pioneer a bright future and build future-proof and ethical organizations. Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we're all in awe of - our Visumees. + +Ready to become one? + +Role + +As a Senior Machine Learning Engineer, you will assume a technical leadership role in designing, implementing and deploying innovative solutions with tangible business impact. Join our growing team and contribute to our expansion in Switzerland and internationally + +Coupling state-of-the-art Machine Learning techniques with best practices in Software Engineering you will build robust and scalable applications that empower our clients to drive meaningful value from their data. You are passionate about understanding client needs to drive top-notch customer experience and adoption. Finally, you are meticulously organized and prepared to work in a fast-paced and dynamic team environment. + +Requirements + +Embark on a rewarding journey where you + + +Proactively take ownership of projects, making decisions and ensuring successful outcomes +Embrace challenges as opportunities to learn, actively seeking and sharing feedback to expand your skills +Exhibit genuine empathy, understanding diverse perspectives and fostering a collaborative and team-oriented atmosphere +Have strong communication skills and the ability to present insights to non-technical and technical stakeholders in an accessible way + + +In addition, this should be part of your background to apply + + +4+ years of professional experience as a Machine Learning or Data Scientist or in a relevant role +Experience with ML/DL frameworks and tools in Python (e.g., Scikit-Learn, TensorFlow, Keras, PyTorch, huggingface/transformers) +Proficiency in Software Development best practices (e.g., Object-Oriented Programming, Design Patterns, Agile Methodology) +Experience in applying deep learning approaches, such as recurrent and convolutional neural networks and transformer models +Experience with MLOps best practices and tools (e.g., dvc, MLFlow, tfX, Kubeflow) +Experience developing and deploying ML solutions using Cloud services (e.g., AWS Sagemaker, GCP Vertex.AI, Azure ML) +Familiarity with REST API and microservices + + +The following are a plus + + +Experience with Data and AI platforms (Databricks, Dataiku, Snowflake) or an associated Data Engineer certification +Experience working in a client-facing or consulting role +Familiarity with Generative AI models & tools (e.g., langchain, OpenAI API, LLama2) +Familiarity with web development (e.g., Next.js, React, FastAPI, Flask) + + + +Benefits + +What we offer + + +A competitive compensation package +A yearly education budget to steep your learning curve +A yearly sport budget because a fit body leads to a fit mind +A flexible working culture because your work-life balance matters to us +A position that enables you to have an impact on 1'000s of people, and the whole company's growth +An international, knowledgeable, and passionate team with a strong collaborative mindset + + +Check our LinkedIn and website to learn more about us & don't hesitate to contact us if you have any questions. +Show more ","
    + + + + + +
    +
    + Title: Senior Machine Learning Engineer

    Type: Permanent contract

    Location: Switzerland (Lausanne or Zurich)

    About Us

    At Visium, we enable enterprise executives in defining their AI & Data strategy, executing large scale transformations and implementing AI across operations, ensuring their organization becomes future-proof.

    With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data.

    We're on a mission to pioneer a bright future and build future-proof and ethical organizations. Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we're all in awe of - our Visumees.

    Ready to become one?

    Role

    As a Senior Machine Learning Engineer, you will assume a technical leadership role in designing, implementing and deploying innovative solutions with tangible business impact. Join our growing team and contribute to our expansion in Switzerland and internationally

    Coupling state-of-the-art Machine Learning techniques with best practices in Software Engineering you will build robust and scalable applications that empower our clients to drive meaningful value from their data. You are passionate about understanding client needs to drive top-notch customer experience and adoption. Finally, you are meticulously organized and prepared to work in a fast-paced and dynamic team environment.

    Requirements

    Embark on a rewarding journey where you

    • Proactively take ownership of projects, making decisions and ensuring successful outcomes
    • Embrace challenges as opportunities to learn, actively seeking and sharing feedback to expand your skills
    • Exhibit genuine empathy, understanding diverse perspectives and fostering a collaborative and team-oriented atmosphere
    • Have strong communication skills and the ability to present insights to non-technical and technical stakeholders in an accessible way

    In addition, this should be part of your background to apply

    • 4+ years of professional experience as a Machine Learning or Data Scientist or in a relevant role
    • Experience with ML/DL frameworks and tools in Python (e.g., Scikit-Learn, TensorFlow, Keras, PyTorch, huggingface/transformers)
    • Proficiency in Software Development best practices (e.g., Object-Oriented Programming, Design Patterns, Agile Methodology)
    • Experience in applying deep learning approaches, such as recurrent and convolutional neural networks and transformer models
    • Experience with MLOps best practices and tools (e.g., dvc, MLFlow, tfX, Kubeflow)
    • Experience developing and deploying ML solutions using Cloud services (e.g., AWS Sagemaker, GCP Vertex.AI, Azure ML)
    • Familiarity with REST API and microservices

    The following are a plus

    • Experience with Data and AI platforms (Databricks, Dataiku, Snowflake) or an associated Data Engineer certification
    • Experience working in a client-facing or consulting role
    • Familiarity with Generative AI models & tools (e.g., langchain, OpenAI API, LLama2)
    • Familiarity with web development (e.g., Next.js, React, FastAPI, Flask)


    Benefits

    What we offer

    • A competitive compensation package
    • A yearly education budget to steep your learning curve
    • A yearly sport budget because a fit body leads to a fit mind
    • A flexible working culture because your work-life balance matters to us
    • A position that enables you to have an impact on 1'000s of people, and the whole company's growth
    • An international, knowledgeable, and passionate team with a strong collaborative mindset

    Check our LinkedIn and website to learn more about us & don't hesitate to contact us if you have any questions. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-26,[] +3991309095,https://ch.linkedin.com/jobs/view/ai-solution-engineer-at-axelera-ai-3991309095?position=42&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=opWZzKU%2BfHiLtPX9MFykvw%3D%3D&trk=public_jobs_jserp-result_search-card,AI Solution Engineer,Axelera AI,"Zurich, Zurich, Switzerland","About Us + +Axelera AI is not your regular deep-tech startup. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. + +In just three years, we have raised a total of $120 million and have built a world-class team of 180+ employees (including 55+ PhDs with more than 40,000 citations), both remotely from 11 different countries and with offices in Belgium, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands. + +We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million. + +Our unwavering commitment to innovation has firmly established us as a global industry pioneer. + +Are you up for the challenge? + +Position Overview: + +We are seeking a talented and experienced AI Solution Engineer with expertise in machine learning and computer vision to join our dynamic team. As a Solution Engineer at Axelera AI, you will play a critical role in designing and implementing AI-driven solutions tailored to our clients' specific needs. You will work closely with clients, sales teams, and technical stakeholders to understand requirements, develop solution designs, and oversee the implementation of scalable and robust machine learning systems. + +Responsibilities: + + +Collaborate with clients to understand their business objectives, challenges, and requirements for AI-driven solutions. +Design end-to-end machine learning and computer vision architectures and solutions that address client needs while adhering to best practices and industry standards. +Optimize the different stages of a computer vision pipeline, including pre- and post-processing. +Work closely with sales teams to develop proposals, including solution designs, technical approaches, and project timelines. +Lead technical discussions and presentations with clients to articulate solution designs, capabilities, and value propositions. +Provide technical guidance and leadership to cross-functional teams during solution implementation, ensuring alignment with architectural designs and project goals. +Evaluate and recommend appropriate machine learning algorithms, frameworks, and technologies to achieve desired outcomes. +Collaborate with data scientists and engineers to prototype, develop, and deploy machine learning models and applications. +Conduct performance optimizations, scalability assessments, and troubleshooting to ensure robust and efficient solution delivery. +Stay abreast of the latest advancements in machine learning, AI technologies, and industry trends to continuously enhance expertise and contribute to innovation. +Mentor junior team members, share knowledge, and foster a culture of learning and collaboration within the organization. + + +Requirements: + + +Proven experience (5 years) as an engineer in designing and implementing computer vision solutions. +Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing, training and deploying ML models. +Excellent knowledge and understanding of state-of-art convolution- and transformer based neural networks for recognition, detection, segmentation, key-point detection, etc. +Proficiency in Python and C/C++, along with experience with machine learning libraries/frameworks (e.g., PyTorch, OpenCV, Tensorflow, scikit-learn). +Strong working experience with different hardware platforms, camera’s, Lidars, and other other sensors +Working experience with Ubuntu and other operating systems +Experience with gstreamer, Cuda, TensorRT is a plus +Strong problem-solving skills and the ability to translate business requirements into technical solutions. +Excellent communication skills with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. +Experience with agile methodologies, DevOps practices, and CI/CD pipelines is a plus. +Relevant certifications in machine learning, cloud computing, or architecture (e.g., AWS Certified Solutions Architect, Google Cloud Professional Architect) are desirable. +A passion for innovation, continuous learning, and a collaborative mindset. + + +Location + +We offer a flexible working arrangement, with options to: + + +Work from one of our Axelera AI offices (Leuven in Belgium, Amsterdam and Eindhoven in the Netherlands, Zurich in Switzerland, Florence and Milan in Italy or Bristol in the United Kingdom) if you're already based in the vicinity. +Work fully remotely from any European country (incl. the UK) you are already in. +Relocate with us and work from Amsterdam or Eindhoven (Netherlands) or Florence (Italy). + + +What We  offer + +This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.  + +An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team. + +At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI. +Show more ","
    + + + + + +
    +
    + About Us

    Axelera AI is not your regular deep-tech startup. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us.

    In just three years, we have raised a total of $120 million and have built a world-class team of 180+ employees (including 55+ PhDs with more than 40,000 citations), both remotely from 11 different countries and with offices in Belgium, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands.

    We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million.

    Our unwavering commitment to innovation has firmly established us as a global industry pioneer.

    Are you up for the challenge?

    Position Overview:

    We are seeking a talented and experienced AI Solution Engineer with expertise in machine learning and computer vision to join our dynamic team. As a Solution Engineer at Axelera AI, you will play a critical role in designing and implementing AI-driven solutions tailored to our clients' specific needs. You will work closely with clients, sales teams, and technical stakeholders to understand requirements, develop solution designs, and oversee the implementation of scalable and robust machine learning systems.

    Responsibilities:

    • Collaborate with clients to understand their business objectives, challenges, and requirements for AI-driven solutions.
    • Design end-to-end machine learning and computer vision architectures and solutions that address client needs while adhering to best practices and industry standards.
    • Optimize the different stages of a computer vision pipeline, including pre- and post-processing.
    • Work closely with sales teams to develop proposals, including solution designs, technical approaches, and project timelines.
    • Lead technical discussions and presentations with clients to articulate solution designs, capabilities, and value propositions.
    • Provide technical guidance and leadership to cross-functional teams during solution implementation, ensuring alignment with architectural designs and project goals.
    • Evaluate and recommend appropriate machine learning algorithms, frameworks, and technologies to achieve desired outcomes.
    • Collaborate with data scientists and engineers to prototype, develop, and deploy machine learning models and applications.
    • Conduct performance optimizations, scalability assessments, and troubleshooting to ensure robust and efficient solution delivery.
    • Stay abreast of the latest advancements in machine learning, AI technologies, and industry trends to continuously enhance expertise and contribute to innovation.
    • Mentor junior team members, share knowledge, and foster a culture of learning and collaboration within the organization.

    Requirements:

    • Proven experience (5 years) as an engineer in designing and implementing computer vision solutions.
    • Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing, training and deploying ML models.
    • Excellent knowledge and understanding of state-of-art convolution- and transformer based neural networks for recognition, detection, segmentation, key-point detection, etc.
    • Proficiency in Python and C/C++, along with experience with machine learning libraries/frameworks (e.g., PyTorch, OpenCV, Tensorflow, scikit-learn).
    • Strong working experience with different hardware platforms, camera’s, Lidars, and other other sensors
    • Working experience with Ubuntu and other operating systems
    • Experience with gstreamer, Cuda, TensorRT is a plus
    • Strong problem-solving skills and the ability to translate business requirements into technical solutions.
    • Excellent communication skills with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
    • Experience with agile methodologies, DevOps practices, and CI/CD pipelines is a plus.
    • Relevant certifications in machine learning, cloud computing, or architecture (e.g., AWS Certified Solutions Architect, Google Cloud Professional Architect) are desirable.
    • A passion for innovation, continuous learning, and a collaborative mindset.

    Location

    We offer a flexible working arrangement, with options to:

    • Work from one of our Axelera AI offices (Leuven in Belgium, Amsterdam and Eindhoven in the Netherlands, Zurich in Switzerland, Florence and Milan in Italy or Bristol in the United Kingdom) if you're already based in the vicinity.
    • Work fully remotely from any European country (incl. the UK) you are already in.
    • Relocate with us and work from Amsterdam or Eindhoven (Netherlands) or Florence (Italy).

    What We  offer

    This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares. 

    An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team.

    At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +4004306962,https://ch.linkedin.com/jobs/view/rust-developer-at-yo-hr-consultancy-4004306962?position=43&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=IVZn6sdJpIDQyawHJhuxnA%3D%3D&trk=public_jobs_jserp-result_search-card,Rust Developer,YO HR Consultancy,Switzerland,"Location: Anywhere in the World Permanent Remote (Europe, Latam, Asia ) + +Contract length -6 Months + +Opportunity- Full Time, 8 hours, + +Must-Have + +Total Years Of exp- 4+ years experience mandatory + +Mandatory Skills: Rust - min 3 yrs, CI/CD - min 3 yrs, Git - min 3 yrs + +About The Role + +We are seeking a proficient Rust Developer with a strong interest in machine learning and human-computer interaction to join our team. In this role, you will contribute to the development and refinement of large language models (LLMs) by participating in Reinforcement Learning from Human Feedback (RLHF) tasks. Your work will involve building tools to facilitate human feedback, as well as directly providing insights to guide the training and improvement of LLMs + +Key Responsibilities + + +Participate in RLHF tasks by providing human feedback on LLM outputs, helping to guide model training. +Evaluate the responses generated by LLMs, identifying areas where the model needs improvement and providing qualitative feedback. +Work closely with data scientists and ML engineers to ensure that feedback is accurately reflected in the model’s learning process. +Collaborate with cross-functional teams to understand the requirements for human feedback in the RLHF process. +Provide insights into how human feedback can be systematically incorporated into model training and improvement. +Document processes and best practices for providing and integrating human feedback in LLM training. +Stay informed about the latest advancements in reinforcement learning, LLMs, and human-computer interaction. +Experiment with new methods and tools to improve the collection and integration of human feedback in RLHF tasks. + + +Requirements + +Technical Skills: + + +3+ years of experience in Rust development, with a solid understanding of systems programming, performance optimization, and concurrency. +Familiarity with machine learning concepts, particularly reinforcement learning, is highly desirable. +Experience with human-computer interaction, user feedback systems, or similar domains is a plus. +Proficiency with version control systems (e.g., Git) and CI/CD pipelines. +Analytical Skills: +Strong problem-solving skills, with the ability to analyze and improve the efficiency of RLHF tasks. +Experience in evaluating and providing constructive feedback on AI/ML outputs. + + +Skills: git,reinforcement learning,reinforcement,machine learning,analytical skills,version control systems,problem-solving,ai/ml,concurrency,problem-solving skills,ci,rust,ci/cd,user feedback systems,performance optimization,ci/cd pipelines,cd,systems programming,human-computer interaction,learning +Show more ","
    + + + + + +
    +
    + Location: Anywhere in the World Permanent Remote (Europe, Latam, Asia )

    Contract length -6 Months

    Opportunity- Full Time, 8 hours,

    Must-Have

    Total Years Of exp- 4+ years experience mandatory

    Mandatory Skills: Rust - min 3 yrs, CI/CD - min 3 yrs, Git - min 3 yrs

    About The Role

    We are seeking a proficient Rust Developer with a strong interest in machine learning and human-computer interaction to join our team. In this role, you will contribute to the development and refinement of large language models (LLMs) by participating in Reinforcement Learning from Human Feedback (RLHF) tasks. Your work will involve building tools to facilitate human feedback, as well as directly providing insights to guide the training and improvement of LLMs

    Key Responsibilities

    • Participate in RLHF tasks by providing human feedback on LLM outputs, helping to guide model training.
    • Evaluate the responses generated by LLMs, identifying areas where the model needs improvement and providing qualitative feedback.
    • Work closely with data scientists and ML engineers to ensure that feedback is accurately reflected in the model’s learning process.
    • Collaborate with cross-functional teams to understand the requirements for human feedback in the RLHF process.
    • Provide insights into how human feedback can be systematically incorporated into model training and improvement.
    • Document processes and best practices for providing and integrating human feedback in LLM training.
    • Stay informed about the latest advancements in reinforcement learning, LLMs, and human-computer interaction.
    • Experiment with new methods and tools to improve the collection and integration of human feedback in RLHF tasks.

    Requirements

    Technical Skills:

    • 3+ years of experience in Rust development, with a solid understanding of systems programming, performance optimization, and concurrency.
    • Familiarity with machine learning concepts, particularly reinforcement learning, is highly desirable.
    • Experience with human-computer interaction, user feedback systems, or similar domains is a plus.
    • Proficiency with version control systems (e.g., Git) and CI/CD pipelines.
    • Analytical Skills:
    • Strong problem-solving skills, with the ability to analyze and improve the efficiency of RLHF tasks.
    • Experience in evaluating and providing constructive feedback on AI/ML outputs.

    Skills: git,reinforcement learning,reinforcement,machine learning,analytical skills,version control systems,problem-solving,ai/ml,concurrency,problem-solving skills,ci,rust,ci/cd,user feedback systems,performance optimization,ci/cd pipelines,cd,systems programming,human-computer interaction,learning +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4005189221,https://ch.linkedin.com/jobs/view/data-scientist-at-jobs-via-efinancialcareers-4005189221?position=44&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=3xN5403yFPPmd%2FpfMZXp5g%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Jobs via eFinancialCareers,"Geneva, Geneva, Switzerland","MAIN DUTIES/RESPONSIBILITIES OF THE ROLE: + +The opportunity is to join a one of Brevan Howard's largest portfolio management teams in Geneva as a data scientist to work on data-driven research projects including using the latest tools in AI. The hire will work closely with senior portfolio managers and a team of research analysts. + +Responsibilities will include + +Design, develop and evolve research workflow & full stack of data science tools Develop and maintain engineering best practices including focus on high standards across all stages of research Collaborate with other members to translate their needs into scalable, standardized solutions Building new tools for conducting statistical analysis over large datasets Designing infrastructure to more effectively leverage compute cluster + +As such the candidate should have very strong programming skills (Python, Java (or C++), SQL) and must have experience working with large data sets covering different data types (numerical, text, other) and be adaptable to rapidly changing requirements. + +WORK EXPERIENCE/BACKGROUNDTECHNICAL/BUSINESS SKILLS & KNOWLEDGE: + +Essential + +PHD or masters (with experience) in a quantitative field such as computer science, statistics, mathematics, or a related field. Will also consider candidates with submissions to machine learning competitions or publically available code repos. Demonstrable very strong coding skills (Python, Java (or C++), SQL), Well-versed in machine learning techniques such as supervised and unsupervised learning, natural language processing, and deep learning Solid foundation in statistics and be able to perform various statistical analyses such as hypothesis testing, regression analysis, and time-series analysis Broad knowledge & experience of database concepts with proficiency in SQL, databases and big data technologies Knowledge of financial data - both numerical and textual Experience in processing large and complex datasets Emphasis in good engineering practices, design, testing and strategic solutions Strong communication skills Self-motivated, proactive Ability to perform well under pressure Enthusiastic, flexible and adaptable Ability to work effectively and independently as well as part of a team Good interpersonal skills + +Desirable + +Other candidates with submissions to machine learning competitions, such as Kaggle, are also encouraged to apply. Participation in these competitions demonstrates a strong interest and aptitude in data science and machine learning. + +TECHNICAL/BUSINESS SKILLS & KNOWLEDGE: + +Essential + +Programming: you should have strong programming skills in languages such as Python. These skills will enable you to manipulate, analyse and visualize large datasets Machine learning: you should be well-versed in machine learning techniques such as supervised and unsupervised learning, natural language processing, and deep learning Statistical analysis: you should have a solid foundation in statistics and be able to perform various statistical analyses such as hypothesis testing, regression analysis, and time-series analysis Data visualization: you should be able to present data in a clear and compelling manner using data visualization tools Communication: you should be able to effectively communicate complex data-driven insights to both technical and non-technical stakeholders Problem-solving: you should be able to identify and solve complex problems using data-driven approaches Continuous learning: you should be committed to continuous learning and staying up-to-date with the latest technologies and trends in data science and finance + +Desirable + +Knowledge of latest LLM models and their capabilities / weaknesses Knowledge in advanced AI methodologies +Show more ","
    + + + + + +
    +
    + MAIN DUTIES/RESPONSIBILITIES OF THE ROLE:

    The opportunity is to join a one of Brevan Howard's largest portfolio management teams in Geneva as a data scientist to work on data-driven research projects including using the latest tools in AI. The hire will work closely with senior portfolio managers and a team of research analysts.

    Responsibilities will include

    Design, develop and evolve research workflow & full stack of data science tools Develop and maintain engineering best practices including focus on high standards across all stages of research Collaborate with other members to translate their needs into scalable, standardized solutions Building new tools for conducting statistical analysis over large datasets Designing infrastructure to more effectively leverage compute cluster

    As such the candidate should have very strong programming skills (Python, Java (or C++), SQL) and must have experience working with large data sets covering different data types (numerical, text, other) and be adaptable to rapidly changing requirements.

    WORK EXPERIENCE/BACKGROUNDTECHNICAL/BUSINESS SKILLS & KNOWLEDGE:

    Essential

    PHD or masters (with experience) in a quantitative field such as computer science, statistics, mathematics, or a related field. Will also consider candidates with submissions to machine learning competitions or publically available code repos. Demonstrable very strong coding skills (Python, Java (or C++), SQL), Well-versed in machine learning techniques such as supervised and unsupervised learning, natural language processing, and deep learning Solid foundation in statistics and be able to perform various statistical analyses such as hypothesis testing, regression analysis, and time-series analysis Broad knowledge & experience of database concepts with proficiency in SQL, databases and big data technologies Knowledge of financial data - both numerical and textual Experience in processing large and complex datasets Emphasis in good engineering practices, design, testing and strategic solutions Strong communication skills Self-motivated, proactive Ability to perform well under pressure Enthusiastic, flexible and adaptable Ability to work effectively and independently as well as part of a team Good interpersonal skills

    Desirable

    Other candidates with submissions to machine learning competitions, such as Kaggle, are also encouraged to apply. Participation in these competitions demonstrates a strong interest and aptitude in data science and machine learning.

    TECHNICAL/BUSINESS SKILLS & KNOWLEDGE:

    Essential

    Programming: you should have strong programming skills in languages such as Python. These skills will enable you to manipulate, analyse and visualize large datasets Machine learning: you should be well-versed in machine learning techniques such as supervised and unsupervised learning, natural language processing, and deep learning Statistical analysis: you should have a solid foundation in statistics and be able to perform various statistical analyses such as hypothesis testing, regression analysis, and time-series analysis Data visualization: you should be able to present data in a clear and compelling manner using data visualization tools Communication: you should be able to effectively communicate complex data-driven insights to both technical and non-technical stakeholders Problem-solving: you should be able to identify and solve complex problems using data-driven approaches Continuous learning: you should be committed to continuous learning and staying up-to-date with the latest technologies and trends in data science and finance

    Desirable

    Knowledge of latest LLM models and their capabilities / weaknesses Knowledge in advanced AI methodologies +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4001885731,https://ch.linkedin.com/jobs/view/automation-software-engineer-a-at-favoris-ag-4001885731?position=45&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=TMecg6MvFvKAqrsUI%2B4qZw%3D%3D&trk=public_jobs_jserp-result_search-card,Automation Software Engineer (a),Favoris AG,"Uetendorf, Berne, Switzerland","Einführung + +Für ein schweizer Unternehmen suchen wir zur Verstärkung des Teams eine engagierte und qualifizierte Person für die Position des Automation Software Engineers (a). + + + + +Sie sind ein führendes Unternehmen in der Entwicklung und Herstellung von Lösungen zur Verarbeitung von Polyurethan und anderen Reaktionsgemischen. + + + + +Verantwortlichkeiten + +Umsetzung des gesamten Prozesses der Softwareentwicklung im Bereich Steuerungs- und Automationstechnik für Highend Produkte (Anforderungsanalyse, Konzeption, Realisierung und Implementierung) +Erstellen von Visualisierungen (HMI) mit modernen Web-Technologien +Erstellen von Schnittstellenbeschreibungen, Spezifikationen, Funktionsabläufen, Bedien- und Testkonzepten +Weiterentwicklung von internen softwaretechnischen Standards +Softwaretests und Inbetriebnahmen in-house ggf. bei den Kunden im In- und Ausland +Troubleshooting per Ferndiagnose, manches aber auch vor Ort + + + + +Qualifikationen + +Erfolgreich abgeschlossenes Studium im Bereich Automation, Elektrotechnik, Informatik, Mechatronik oder Maschinenbau +Nachweisbare Erfahrung im Bereich Softwareentwicklung, Steuerungs- und Automationstechnik +Selbständige, strukturierte und dienstleistungsorientierte Persönlichkeit +Lösungsorientierte, analytische und präzise Arbeitsweise +Deutsch in Wort und Schrift sowie sehr gute Englischkenntnisse + + + + +Vorteile + +International tätiges und etabliertes KMU +Transparente Kommunikationswege, flache Hierarchie und eine wertschätzende Firmenkultur +Offene Zusammenarbeit mit gegenseitigem Respekt und Vertrauen +Dynamisches, motiviertes und aufgeschlossenes Team +Attraktive Anstellungs- und Arbeitsbedingungen mit guten Sozialleistungen + + + + +Bewerbungsinformationen + +Interessiert? Dann freuen wir uns auf die vollständigen Bewerbungsunterlagen über unser Online-Bewerbungsformular. + +Show more ","
    + + + + + +
    +
    +

    Einführung

    Für ein schweizer Unternehmen suchen wir zur Verstärkung des Teams eine engagierte und qualifizierte Person für die Position des Automation Software Engineers (a).


    Sie sind ein führendes Unternehmen in der Entwicklung und Herstellung von Lösungen zur Verarbeitung von Polyurethan und anderen Reaktionsgemischen.


    Verantwortlichkeiten

    • Umsetzung des gesamten Prozesses der Softwareentwicklung im Bereich Steuerungs- und Automationstechnik für Highend Produkte (Anforderungsanalyse, Konzeption, Realisierung und Implementierung)
    • Erstellen von Visualisierungen (HMI) mit modernen Web-Technologien
    • Erstellen von Schnittstellenbeschreibungen, Spezifikationen, Funktionsabläufen, Bedien- und Testkonzepten
    • Weiterentwicklung von internen softwaretechnischen Standards
    • Softwaretests und Inbetriebnahmen in-house ggf. bei den Kunden im In- und Ausland
    • Troubleshooting per Ferndiagnose, manches aber auch vor Ort


    Qualifikationen

    • Erfolgreich abgeschlossenes Studium im Bereich Automation, Elektrotechnik, Informatik, Mechatronik oder Maschinenbau
    • Nachweisbare Erfahrung im Bereich Softwareentwicklung, Steuerungs- und Automationstechnik
    • Selbständige, strukturierte und dienstleistungsorientierte Persönlichkeit
    • Lösungsorientierte, analytische und präzise Arbeitsweise
    • Deutsch in Wort und Schrift sowie sehr gute Englischkenntnisse


    Vorteile

    • International tätiges und etabliertes KMU
    • Transparente Kommunikationswege, flache Hierarchie und eine wertschätzende Firmenkultur
    • Offene Zusammenarbeit mit gegenseitigem Respekt und Vertrauen
    • Dynamisches, motiviertes und aufgeschlossenes Team
    • Attraktive Anstellungs- und Arbeitsbedingungen mit guten Sozialleistungen


    Bewerbungsinformationen

    Interessiert? Dann freuen wir uns auf die vollständigen Bewerbungsunterlagen über unser Online-Bewerbungsformular.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +3990663716,https://ch.linkedin.com/jobs/view/ai-research-scientist-vllm-vision-large-language-models-generative-ai-at-meta-3990663716?position=48&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=KKmD6XLIXFYlldS7QLvqig%3D%3D&trk=public_jobs_jserp-result_search-card,"AI Research Scientist, VLLM (vision large language models) - Generative AI",Meta,"Zurich, Zurich, Switzerland","Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models. + +AI Research Scientist, VLLM (vision large language models) - Generative AI Responsibilities: + + +Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research. +Work towards long-term ambitious research goals, while identifying intermediate milestones. +Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. +Work with a large team. +Contribute to publications and open-sourcing efforts. +Mentor other team members. Play a significant role in healthy cross-functional collaboration. +Prioritize research that can be applied to Meta's product development. + + +Minimum Qualifications: + + +A PhD in AI, computer science, or related technical fields. +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. +Experience holding an industry, faculty, or government researcher position. +Publications in machine learning, computer vision, NLP, speech +Experience writing software and executing complex experiments involving large AI models and datasets. +Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. + + +Preferred Qualifications: + + +Direct experience in generative AI and LLM research. +First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). +Fluent in Python and PyTorch (or equivalent) + + +About Meta: + +Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. + +Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +Show more ","
    + + + + + +
    +
    + Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models.

    AI Research Scientist, VLLM (vision large language models) - Generative AI Responsibilities:

    • Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
    • Work towards long-term ambitious research goals, while identifying intermediate milestones.
    • Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
    • Work with a large team.
    • Contribute to publications and open-sourcing efforts.
    • Mentor other team members. Play a significant role in healthy cross-functional collaboration.
    • Prioritize research that can be applied to Meta's product development.

    Minimum Qualifications:

    • A PhD in AI, computer science, or related technical fields.
    • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
    • Experience holding an industry, faculty, or government researcher position.
    • Publications in machine learning, computer vision, NLP, speech
    • Experience writing software and executing complex experiments involving large AI models and datasets.
    • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

    Preferred Qualifications:

    • Direct experience in generative AI and LLM research.
    • First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
    • Fluent in Python and PyTorch (or equivalent)

    About Meta:

    Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

    Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3976868194,https://ch.linkedin.com/jobs/view/ing%C3%A9nieur-e-data-et-machine-learning-r-i-at-richemont-3976868194?position=49&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=RVePVG%2FVw11PEa3R2fLs8w%3D%3D&trk=public_jobs_jserp-result_search-card,Ingénieur.e Data et Machine Learning R&I,Richemont,"Lausanne, Vaud, Switzerland","“ Des défis extrêmement stimulants dans une industrie en mutation ” + +Le Groupe Richemont est l’un des leaders mondiaux dans le secteur du luxe, et plus particulièrement de l’horlogerie et la joaillerie. Il dispose à travers ses différentes Maisons et Manufactures Groupe d’un outil industriel de premier plan employant environ 8’000 personnes dont une majorité en Suisse. Afin de poursuivre l’amélioration continue de la performance de ses montres et du parc technologique de pointe nécessaire à leur réalisation, la direction industrielle du Groupe renforce son équipe Recherche et Innovation. + +QUELLE SERA VOTRE CONTRIBUTION ? + +En tant qu'ingénieur.e Data et Machine learning au sein de l'équipe Industrial Machine learning Lab rattachée au Stream Digital Technology de la Direction Groupe Recherche & Innovation de Richemont, vous serez au cœur de l'innovation en utilisant votre expertise pour transformer nos marques et nos opérations. + +Vous concevrez et développerez des solutions de Machine learning pour optimiser les opérations, améliorer l'expérience client et stimuler la croissance. Vous contribuez à façonner l'avenir de Richemont en développant des solutions de Machine learning innovantes qui auront un impact réel sur l'entreprise. Vous êtes également capable de guider techniquement d’autres membres de l'équipe dans leur développement. + +Votre impact sur l’organisation se mesurera au travers des missions spécifiques suivantes : + + +Gestion de projet et contribution à la stratégie innovation +Contribuer à l’élaboration de la stratégie R&I Digital Tech ML Lab en collaboration avec le responsable de pôle. +Formuler des propositions de projets, concepts ou technologies innovantes soutenant cette stratégie R&I (stratégie de recherche, planification des différentes phases), en étant force de proposition. +Evaluer les ressources et moyens nécessaires au déploiement de ces projets en collaboration avec les responsables de pôle. +Identifier et coordonner les intervenants internes et externes. +Formaliser les résultats et les enseignements aux différents stades d’avancement des projets pour faciliter le pilotage et capitaliser les résultats. +Cadrer les projets et garantir leur suivi. Gérer le planning et le budget de ses projets. +Développement d’applications mettant en œuvre Data Science, Machine Learning et Data engineering +Apporter une expertise approfondie en Data Science, en particulier en Machine Learning et Deep Learning. +Concevoir, développer et tester des briques ML, d’analyse de données, voire de data visualisation, adaptées au besoin des projets. +Développer et proposer des approches innovantes dans le domaine de la data science. +Réaliser des preuves de concept dans le domaine de la Data Science et du Machine Learning. +Réaliser la revue technique des projets de la R&I dans son domaine d’expertise. +Garantir la qualité des résultats techniques des projets. +Apporter un support technique pendant le transfert des résultats des projets en production et en assurer le suivi. +Assurer le développement de solutions de manière scalable +Être le répondant technique dans son domaine d’expertise au sein de la R&I et au sein du groupe. +Entretenir une relation privilégiée avec Group Data / Group Tech. +Veille technologique +Alimenter la veille technologique en recherchant et surveillant pro activement (via la bibliographie, la constitution et l’animation d’un réseau d’experts internes et externes) les avancées innovantes/technologiques pertinentes pour la R&I Digital Tech et en particulier dans son domaine d’expertise. + +QUELLES SONT LES CLÉS DE VOTRE RÉUSSITE AU SEIN DE NOTRE GROUPE ? + + +Vous êtes au bénéfice d’une formation d’ingénieur.e en Computer Science, Data Science ou Machine Learning avec Master EPFL ou équivalent. +Vous démontrez une expérience professionnelle de 3 à 5 ans en développement et implémentation d’algorithmes d’AI ou ML dans le cadre de projets industriels ou académiques. +Expérience avec technologie Cloud (GCP). +Vous disposez des compétences techniques suivantes : +Expertise en Data Science, Machine Learning et Deep Learning. +Expertise en langages de programmation (Python, R) et frameworks comme Tensorflow, Keras, Pytorch. +Connaissances des architectures logicielles. +Familiarité avec les outils de gestion de version (Git), de revue de code, de testing et de cyber-sécurité. +Gestion de projet avancée. + +À l’aise en français et en anglais, vous êtes autonome et appréciez partager vos connaissances au sein d’équipes collaboratives et constructives. Désireux·euse de contribuer aux défis techniques de l’industrie horlogère, vous êtes orienté.e résultats, curieux·euse, analytique et innovant·e. + +Votre sens de l’organisation et vos capacités de communication seront également des clés essentielles de votre succès. + +Basé·e principalement à Lausanne, vous aurez également l’opportunité de côtoyer des collègues d’autres secteurs de recherche au sein de notre hub situé à Neuchâtel. + +VOTRE EXPÉRIENCE CANDIDAT AVEC NOUS + + +Si votre candidature est retenue, nous vous contacterons dès que possible pour un premier appel de présentation avec le Responsable du Pôle et la HR Business Partner. +En cas d’intérêt, nous nous rencontrerons lors d'une réunion en face à face dans nos locaux. + + +APPRENEZ-EN PLUS SUR RICHEMONT ET SES MAISONS + +https://www.linkedin.com/company/richemont/ + +https://www.youtube.com/channel/UCtcz344eqsWvggwOnq-yljg + +#RICHEMONT #REVEALTHEEXCEPTIONNAL + +WE ARE AN EQUAL OPPORTUNITY EMPLOYER + + +Show more ","
    + + + + + +
    +
    + “ Des défis extrêmement stimulants dans une industrie en mutation ”

    Le Groupe Richemont est l’un des leaders mondiaux dans le secteur du luxe, et plus particulièrement de l’horlogerie et la joaillerie. Il dispose à travers ses différentes Maisons et Manufactures Groupe d’un outil industriel de premier plan employant environ 8’000 personnes dont une majorité en Suisse. Afin de poursuivre l’amélioration continue de la performance de ses montres et du parc technologique de pointe nécessaire à leur réalisation, la direction industrielle du Groupe renforce son équipe Recherche et Innovation.

    QUELLE SERA VOTRE CONTRIBUTION ?

    En tant qu'ingénieur.e Data et Machine learning au sein de l'équipe Industrial Machine learning Lab rattachée au Stream Digital Technology de la Direction Groupe Recherche & Innovation de Richemont, vous serez au cœur de l'innovation en utilisant votre expertise pour transformer nos marques et nos opérations.

    Vous concevrez et développerez des solutions de Machine learning pour optimiser les opérations, améliorer l'expérience client et stimuler la croissance. Vous contribuez à façonner l'avenir de Richemont en développant des solutions de Machine learning innovantes qui auront un impact réel sur l'entreprise. Vous êtes également capable de guider techniquement d’autres membres de l'équipe dans leur développement.

    Votre impact sur l’organisation se mesurera au travers des missions spécifiques suivantes :

    • Gestion de projet et contribution à la stratégie innovation
      • Contribuer à l’élaboration de la stratégie R&I Digital Tech ML Lab en collaboration avec le responsable de pôle.
      • Formuler des propositions de projets, concepts ou technologies innovantes soutenant cette stratégie R&I (stratégie de recherche, planification des différentes phases), en étant force de proposition.
      • Evaluer les ressources et moyens nécessaires au déploiement de ces projets en collaboration avec les responsables de pôle.
      • Identifier et coordonner les intervenants internes et externes.
      • Formaliser les résultats et les enseignements aux différents stades d’avancement des projets pour faciliter le pilotage et capitaliser les résultats.
      • Cadrer les projets et garantir leur suivi. Gérer le planning et le budget de ses projets.
    • Développement d’applications mettant en œuvre Data Science, Machine Learning et Data engineering
      • Apporter une expertise approfondie en Data Science, en particulier en Machine Learning et Deep Learning.
      • Concevoir, développer et tester des briques ML, d’analyse de données, voire de data visualisation, adaptées au besoin des projets.
      • Développer et proposer des approches innovantes dans le domaine de la data science.
      • Réaliser des preuves de concept dans le domaine de la Data Science et du Machine Learning.
      • Réaliser la revue technique des projets de la R&I dans son domaine d’expertise.
      • Garantir la qualité des résultats techniques des projets.
      • Apporter un support technique pendant le transfert des résultats des projets en production et en assurer le suivi.
      • Assurer le développement de solutions de manière scalable
      • Être le répondant technique dans son domaine d’expertise au sein de la R&I et au sein du groupe.
      • Entretenir une relation privilégiée avec Group Data / Group Tech.
    • Veille technologique
      • Alimenter la veille technologique en recherchant et surveillant pro activement (via la bibliographie, la constitution et l’animation d’un réseau d’experts internes et externes) les avancées innovantes/technologiques pertinentes pour la R&I Digital Tech et en particulier dans son domaine d’expertise.
    QUELLES SONT LES CLÉS DE VOTRE RÉUSSITE AU SEIN DE NOTRE GROUPE ?

    • Vous êtes au bénéfice d’une formation d’ingénieur.e en Computer Science, Data Science ou Machine Learning avec Master EPFL ou équivalent.
    • Vous démontrez une expérience professionnelle de 3 à 5 ans en développement et implémentation d’algorithmes d’AI ou ML dans le cadre de projets industriels ou académiques.
    • Expérience avec technologie Cloud (GCP).
    • Vous disposez des compétences techniques suivantes :
      • Expertise en Data Science, Machine Learning et Deep Learning.
      • Expertise en langages de programmation (Python, R) et frameworks comme Tensorflow, Keras, Pytorch.
      • Connaissances des architectures logicielles.
      • Familiarité avec les outils de gestion de version (Git), de revue de code, de testing et de cyber-sécurité.
      • Gestion de projet avancée.
    À l’aise en français et en anglais, vous êtes autonome et appréciez partager vos connaissances au sein d’équipes collaboratives et constructives. Désireux·euse de contribuer aux défis techniques de l’industrie horlogère, vous êtes orienté.e résultats, curieux·euse, analytique et innovant·e.

    Votre sens de l’organisation et vos capacités de communication seront également des clés essentielles de votre succès.

    Basé·e principalement à Lausanne, vous aurez également l’opportunité de côtoyer des collègues d’autres secteurs de recherche au sein de notre hub situé à Neuchâtel.

    VOTRE EXPÉRIENCE CANDIDAT AVEC NOUS

    • Si votre candidature est retenue, nous vous contacterons dès que possible pour un premier appel de présentation avec le Responsable du Pôle et la HR Business Partner.
    • En cas d’intérêt, nous nous rencontrerons lors d'une réunion en face à face dans nos locaux.

    APPRENEZ-EN PLUS SUR RICHEMONT ET SES MAISONS

    https://www.linkedin.com/company/richemont/

    https://www.youtube.com/channel/UCtcz344eqsWvggwOnq-yljg

    #RICHEMONT #REVEALTHEEXCEPTIONNAL

    WE ARE AN EQUAL OPPORTUNITY EMPLOYER

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    ",2024-08-06,[] +3984900427,https://ch.linkedin.com/jobs/view/algorithm-engineer-at-the-mullings-group-3984900427?position=50&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=Gsn2zRcMi0Xg3ess%2F73Bvw%3D%3D&trk=public_jobs_jserp-result_search-card,Algorithm Engineer,The Mullings Group,"Berne, Switzerland","The Mullings Group is partnered with a pioneering and rapidly growing MedTech company based in Bern, Switzerland, driving development of a next-generation surgical robotic platform. + + + + +With significant advancements in their R&D, we are currently seeking a talented Algorithm Engineer to join their team. This individual with be critical in the development and advancement of algorithms primarily for their medical imaging solutions. + + + + +Responsibilities: + + + + +Design, develop, and optimize algorithms for medical image processing, analysis and enhancement in CT, X-ray, and MR modalities. +Provide technical support and collaborate with the software development team to ensure seamless integration of algorithms into our medical imaging software products. +Evaluate and validate algorithm performance through testing, benchmarking, and analysis using medical imaging datasets. +Stay up to date with the latest advancements in medical imaging, AI, and machine learning, and incorporate them into algorithm development. + + + + +Qualifications: + + + + +Master’s or Ph.D. degree in Computer Science, Biomedical Engineering, or a related field. +Significant experience in developing medical image algorithms. +Strong background in medical imaging, computer vision, and machine learning algorithms. +Proficiency with medical imaging modalities, including CT, X-ray, and MR. +Hands-on experience with applying AI and machine learning technologies in the field of medical imaging. + +Show more ","
    + + + + + +
    +
    +

    The Mullings Group is partnered with a pioneering and rapidly growing MedTech company based in Bern, Switzerland, driving development of a next-generation surgical robotic platform.


    With significant advancements in their R&D, we are currently seeking a talented Algorithm Engineer to join their team. This individual with be critical in the development and advancement of algorithms primarily for their medical imaging solutions.


    Responsibilities:


    • Design, develop, and optimize algorithms for medical image processing, analysis and enhancement in CT, X-ray, and MR modalities.
    • Provide technical support and collaborate with the software development team to ensure seamless integration of algorithms into our medical imaging software products.
    • Evaluate and validate algorithm performance through testing, benchmarking, and analysis using medical imaging datasets.
    • Stay up to date with the latest advancements in medical imaging, AI, and machine learning, and incorporate them into algorithm development.


    Qualifications:


    • Master’s or Ph.D. degree in Computer Science, Biomedical Engineering, or a related field.
    • Significant experience in developing medical image algorithms.
    • Strong background in medical imaging, computer vision, and machine learning algorithms.
    • Proficiency with medical imaging modalities, including CT, X-ray, and MR.
    • Hands-on experience with applying AI and machine learning technologies in the field of medical imaging.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-26,[] +3990664638,https://ch.linkedin.com/jobs/view/ai-research-scientist-vllm-vision-large-language-models-generative-ai-at-meta-3990664638?position=53&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=aRRe5nJVjCvnSlAAEMQoZg%3D%3D&trk=public_jobs_jserp-result_search-card,"AI Research Scientist, VLLM (vision large language models) - Generative AI",Meta,"Zurich, Zurich, Switzerland","Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models. + +AI Research Scientist, VLLM (vision large language models) - Generative AI Responsibilities: + + +Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research. +Work towards long-term ambitious research goals, while identifying intermediate milestones. +Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. +Work with a large team. +Contribute to publications and open-sourcing efforts. +Mentor other team members. Play a significant role in healthy cross-functional collaboration. +Prioritize research that can be applied to Meta's product development. + + +Minimum Qualifications: + + +A PhD in AI, computer science, or related technical fields, and 7+ years of experiences in AI. +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. +Experience holding an industry, faculty, or government researcher position. +Publications in machine learning, computer vision, NLP, speech. +Experience writing software and executing complex experiments involving large AI models and datasets. +Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. + + +Preferred Qualifications: + + +Direct experience in generative AI and LLM research. +First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). +Fluent in Python and PyTorch (or equivalent). + + +About Meta: + +Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. + +Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +Show more ","
    + + + + + +
    +
    + Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models.

    AI Research Scientist, VLLM (vision large language models) - Generative AI Responsibilities:

    • Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
    • Work towards long-term ambitious research goals, while identifying intermediate milestones.
    • Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
    • Work with a large team.
    • Contribute to publications and open-sourcing efforts.
    • Mentor other team members. Play a significant role in healthy cross-functional collaboration.
    • Prioritize research that can be applied to Meta's product development.

    Minimum Qualifications:

    • A PhD in AI, computer science, or related technical fields, and 7+ years of experiences in AI.
    • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
    • Experience holding an industry, faculty, or government researcher position.
    • Publications in machine learning, computer vision, NLP, speech.
    • Experience writing software and executing complex experiments involving large AI models and datasets.
    • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

    Preferred Qualifications:

    • Direct experience in generative AI and LLM research.
    • First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
    • Fluent in Python and PyTorch (or equivalent).

    About Meta:

    Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

    Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +4000193064,https://ch.linkedin.com/jobs/view/senior-data-scientist-at-world-intellectual-property-organization-%E2%80%93-wipo-4000193064?position=54&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=%2FJ3JFjhAPybgukAEq9QhUg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,World Intellectual Property Organization – WIPO,"Geneva, Switzerland","Information and Communication Technology Department, Administration, Finance and Management Sector + +Contract Duration - 2 years (maximum cumulative length of 5 years) * + +Duty Station: CH-Geneva + +Application Deadline: 10-Sep-2024 + + + + + + + + + + +This post is a limited-term fixed-term post. + + + + + + + +1. Organizational Context + + + + + + + +a. Organizational Setting + + + + +The post is in the Information and Communication Technology Department (ICTD) of Administration, Finance and Management Sector. + + + + +The Information and Communication Technology Department (ICTD) is responsible for the digital, data, and technology transformation of the Organization, with a focus on service quality, efficiency, security, and sustainability. To support the achievement of WIPO's vision, the Department is leading the development and execution of the Organization's Infotech strategy, which aims at enabling our internal and external customers' success through Infotech excellence. + + + + +The Department provides its customers with shared Infotech services such as program & project management, enterprise architecture, data management, digital workplace, solution hosting, and software development & maintenance of various critical systems, including Enterprise Solutions, Hague, Madrid, Patent Cooperation Treaty (PCT) Information Systems. + + + + +b. Purpose Statement + + + + +The main role of Senior Data Scientist is to analyze and interpret complex datasets by using state-of-the-art data science techniques. Collaborating closely with the central data team the incumbent performs descriptive and predictive analysis which can contribute to value added usage of data such as meaningful visualizations and reports that reveal trends, patterns, and opportunities, thereby informing and propelling key business initiatives in WIPO. + + + + +c. Reporting Lines + + + + +The incumbent works under the supervision of the Chief Data Officer (CDO). + + + + +d. Work Relations + + + + +The incumbent liaises with relevant internal business and technical stakeholders across the Organization and works as well with external stakeholders such as onsite or remote consultants. + + + + + + + +2. Duties and Responsibilities + + + + +The incumbent will perform the following principal duties: + + + + +a. Lead the Development of business reports, visualization tools, and data analytics solutions to facilitate actionable insights and support the strategic business objectives across various functions. + + + + +b. Systematically study, explore and evaluate new and existing data sources and analytical systems to determine their effectiveness and accuracy and recommend necessary improvement to ensure data integrity and reliability. + + + + +c. Design and build predictive data science systems and products, such as visualizations, models, AI/ML algorithms for initial simulations or prototypes and subsequent ingestion into mainstream software application. + + + + +d. Develop data products, tools, and processes to periodically validate the effectiveness of data science products and their expected and observed benefits. Conduct impact assessment against pre-defined KPIs and evaluate user feedback to continuously improve the products. + + + + +e. Perform an advocacy and advisory role with stakeholders, and IT teams to assess infrastructure, software and services needed to develop and deploy data science products. + + + + +f. Lead the promotion of data science solutions by showcasing the products to business stakeholders. Champion literacy within different lines of business to create self-service analytics capabilities. + + + + +g. Develop guidelines, standard operating procedures, and best practices to support the data science processes, tools, and enterprise architecture across the organization. + + + + +h. Perform additional related duties as required, including active participation in divisional activities, demonstrating flexibility and a collaborative approach to team projects and initiatives. + + + + + + + +3. Requirements + + + + +Education (Essential) + +Advanced university degree in Statistics, Mathematics, Economics, Computer Science, Information Management or a related field. A first-level university degree plus two years of relevant experience in addition to the experience requested below may be acceptable in lieu of an advanced university degree. + + + + +Experience (Essential) + +At least seven years of professional experience in the field of applied analytics, business intelligence, information management, statistics. + + + + +Experience in designing and deploying solutions that apply data science-oriented methodologies such as time series methods, econometric methods, machine learning algorithms, etc. + + + + +Experience in working in one or more data science languages like R, Python, SPARK, MATLAB, etc. + + + + +Experience in data visualizing tools like Tableau, Power BI, etc.. + + + + +Language (Essential) + +Excellent written and spoken knowledge of English. + + + + +Job Related Competencies (Essential) + +Sound understanding of several of the following disciplines: Predictive Analytics, Data Mining, Machine Learning, Text Analytics, Algorithm Designs, Statistical Modelling. + + + + +Excellent analytical and organizational skills, with a proven ability to manage projects effectively. + + + + +Adept at adapting to rapidly changing and disruptive environments. Maintain productive relationships with stakeholders in a multicultural setting with sensitivity and respect for diversity. + + + + +Job Related Competencies (Desirable) + +Integrity in dealing with confidential and sensitive data. + + + + +Critical thinking and creativity skills. + + + + +Excellent time management and work organization skills. + + + + + + + +4. Organizational Competencies + + + + +1. Communicating effectively. + +2. Showing team spirit. + +3. Demonstrating integrity. + +4. Valuing diversity. + +5. Producing results. + +6. Showing service orientation. + +7. Seeing the big picture. + +8. Seeking change and innovation. + +9. Developing yourself and others. + + + + +For more information including on the salaries and benefits please check the WIPO Careers website. + +Show more ","
    + + + + + +
    +
    +

    Information and Communication Technology Department, Administration, Finance and Management Sector

    Contract Duration - 2 years (maximum cumulative length of 5 years) *

    Duty Station: CH-Geneva

    Application Deadline: 10-Sep-2024




    This post is a limited-term fixed-term post.



    1. Organizational Context



    a. Organizational Setting


    The post is in the Information and Communication Technology Department (ICTD) of Administration, Finance and Management Sector.


    The Information and Communication Technology Department (ICTD) is responsible for the digital, data, and technology transformation of the Organization, with a focus on service quality, efficiency, security, and sustainability. To support the achievement of WIPO's vision, the Department is leading the development and execution of the Organization's Infotech strategy, which aims at enabling our internal and external customers' success through Infotech excellence.


    The Department provides its customers with shared Infotech services such as program & project management, enterprise architecture, data management, digital workplace, solution hosting, and software development & maintenance of various critical systems, including Enterprise Solutions, Hague, Madrid, Patent Cooperation Treaty (PCT) Information Systems.


    b. Purpose Statement


    The main role of Senior Data Scientist is to analyze and interpret complex datasets by using state-of-the-art data science techniques. Collaborating closely with the central data team the incumbent performs descriptive and predictive analysis which can contribute to value added usage of data such as meaningful visualizations and reports that reveal trends, patterns, and opportunities, thereby informing and propelling key business initiatives in WIPO.


    c. Reporting Lines


    The incumbent works under the supervision of the Chief Data Officer (CDO).


    d. Work Relations


    The incumbent liaises with relevant internal business and technical stakeholders across the Organization and works as well with external stakeholders such as onsite or remote consultants.



    2. Duties and Responsibilities


    The incumbent will perform the following principal duties:


    a. Lead the Development of business reports, visualization tools, and data analytics solutions to facilitate actionable insights and support the strategic business objectives across various functions.


    b. Systematically study, explore and evaluate new and existing data sources and analytical systems to determine their effectiveness and accuracy and recommend necessary improvement to ensure data integrity and reliability.


    c. Design and build predictive data science systems and products, such as visualizations, models, AI/ML algorithms for initial simulations or prototypes and subsequent ingestion into mainstream software application.


    d. Develop data products, tools, and processes to periodically validate the effectiveness of data science products and their expected and observed benefits. Conduct impact assessment against pre-defined KPIs and evaluate user feedback to continuously improve the products.


    e. Perform an advocacy and advisory role with stakeholders, and IT teams to assess infrastructure, software and services needed to develop and deploy data science products.


    f. Lead the promotion of data science solutions by showcasing the products to business stakeholders. Champion literacy within different lines of business to create self-service analytics capabilities.


    g. Develop guidelines, standard operating procedures, and best practices to support the data science processes, tools, and enterprise architecture across the organization.


    h. Perform additional related duties as required, including active participation in divisional activities, demonstrating flexibility and a collaborative approach to team projects and initiatives.



    3. Requirements


    Education (Essential)

    Advanced university degree in Statistics, Mathematics, Economics, Computer Science, Information Management or a related field. A first-level university degree plus two years of relevant experience in addition to the experience requested below may be acceptable in lieu of an advanced university degree.


    Experience (Essential)

    At least seven years of professional experience in the field of applied analytics, business intelligence, information management, statistics.


    Experience in designing and deploying solutions that apply data science-oriented methodologies such as time series methods, econometric methods, machine learning algorithms, etc.


    Experience in working in one or more data science languages like R, Python, SPARK, MATLAB, etc.


    Experience in data visualizing tools like Tableau, Power BI, etc..


    Language (Essential)

    Excellent written and spoken knowledge of English.


    Job Related Competencies (Essential)

    Sound understanding of several of the following disciplines: Predictive Analytics, Data Mining, Machine Learning, Text Analytics, Algorithm Designs, Statistical Modelling.


    Excellent analytical and organizational skills, with a proven ability to manage projects effectively.


    Adept at adapting to rapidly changing and disruptive environments. Maintain productive relationships with stakeholders in a multicultural setting with sensitivity and respect for diversity.


    Job Related Competencies (Desirable)

    Integrity in dealing with confidential and sensitive data.


    Critical thinking and creativity skills.


    Excellent time management and work organization skills.



    4. Organizational Competencies


    1. Communicating effectively.

    2. Showing team spirit.

    3. Demonstrating integrity.

    4. Valuing diversity.

    5. Producing results.

    6. Showing service orientation.

    7. Seeing the big picture.

    8. Seeking change and innovation.

    9. Developing yourself and others.


    For more information including on the salaries and benefits please check the WIPO Careers website.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +4005142109,https://ch.linkedin.com/jobs/view/data-scientist-at-jobs-via-efinancialcareers-4005142109?position=55&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=7KEQQhDzoPNOQUeVXjEgtw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Jobs via eFinancialCareers,"Geneva, Geneva, Switzerland","For one of our clients in Geneva, we are recruiting a Data Scientist who is open-minded and client-oriented, is passionate about his work, who believes in success and has a strong team spirit. Are you looking for you next challenging position? This opportunity is for you! + +Responsibilities: As a Data Scientist you design, develop and evolve research workflow and fullstack (data science tools). Besides, you develop and maintain engineering best practices (high standards) and you collaborate to translate needs into scalable, standardization solutions. In addition you build tools for conducting statistical analysis over large datasets. You, also design infrastructure to effectively leverage compute cluster. + +Profile: + +PhD or Master in IT or equivalent Experience in processing large and complex datasets Very strong knowledge in coding (Python, Java, C++, SQL) Very good knowledge in Machine learning Very good knowledge in statistics, analysis, testing Efficient in SQL and databases Efficient in Big Data Knowledge in financial data Knowledge in LLM models Very good knowledge in English +Show more ","
    + + + + + +
    +
    + For one of our clients in Geneva, we are recruiting a Data Scientist who is open-minded and client-oriented, is passionate about his work, who believes in success and has a strong team spirit. Are you looking for you next challenging position? This opportunity is for you!

    Responsibilities: As a Data Scientist you design, develop and evolve research workflow and fullstack (data science tools). Besides, you develop and maintain engineering best practices (high standards) and you collaborate to translate needs into scalable, standardization solutions. In addition you build tools for conducting statistical analysis over large datasets. You, also design infrastructure to effectively leverage compute cluster.

    Profile:

    PhD or Master in IT or equivalent Experience in processing large and complex datasets Very strong knowledge in coding (Python, Java, C++, SQL) Very good knowledge in Machine learning Very good knowledge in statistics, analysis, testing Efficient in SQL and databases Efficient in Big Data Knowledge in financial data Knowledge in LLM models Very good knowledge in English +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4007101187,https://ch.linkedin.com/jobs/view/clinical-trial-physician-hematology-at-bristol-myers-squibb-4007101187?position=56&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=OhHBBub2QOpNJ7Xap7Xw8Q%3D%3D&trk=public_jobs_jserp-result_search-card,"Clinical Trial Physician, Hematology",Bristol Myers Squibb,"Boudry, Neuchâtel, Switzerland","Working with Us + +Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible. + +Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us . + +Functional Area Description + +The Clinical Trial Physician sits within Clinical Development, which is a global organization dedicated to the effective design and execution of drug development. Clinical Development drives clinical development strategy, design, execution, and interpretation of clinical trials. + +Position Summary/Objective + + +Serves as a primary source of medical accountability and oversight for clinical trials +Matrix management responsibilities across the internal and external network +Manages Phase 1 - Phase 3 studies, with demonstrated decision making capabilities +Provides medical and scientific expertise to cross-functional BMS colleagues + + +Key Responsibilities + +Medical Monitoring + + +Contributes to and is a key member of a high performing Study Delivery Team (SDT) and may be a member of the Clinical Development Team (CDT) +Conducts medical data review of trial data, including eligibility review +Holds responsibility for site interactions in partnership with the Clinical Scientist (CS) for medical questions and education (including safety management guidelines) +Holds responsibility for assessment of key safety-related serious adverse events in partnership with Worldwide Patient Safety and oversees safety narratives +Collaborates with CS and inputs into protocols, providing medical strategic oversight in protocol development (input on inclusion/exclusion and other safety-related clinical considerations) +Fulfills GCP and compliance obligations for clinical conduct and maintains all required training + + +Clinical Development Expertise & Strategy + + +In collaboration with the Clinical Development Program Lead, designs and develops clinical plans and protocols with a strong strategic focus based on knowledge of asset/drug, disease area and relevant science in order to meet regulatory and disease strategy targets +Provides oversight and medical accountability for a group of studies +Leads the analysis of benefit/risk for clinical development protocols in a matrix team environment working with Clinical Scientists +Partners with CS to support executional delivery of studies (e.g., site activation, enrollment status, as well as adjudication for protocol violations, significant, non-significant deviations etc.) +Identifies and builds relationships with principal investigators. Identifies and cultivates thought leaders in order to gain their inputs on emerging science in drug and biomarker research, disease knowledge, and design of clinical development studies and programs +Maintains a strong medical/scientific reputation within the disease area. Has in-depth knowledge of etiology, natural history, diagnosis, and treatment of the disorder. Keeps up-to-date in the disease area by attending scientific conferences and ongoing review of the literature +Keeps abreast of development and regulatory issues related to other competitive or relevant compounds in development and how our portfolio fits into the competitive landscape +Provides ongoing medical education in partnership with CS to allow for protocol-specific training, supporting the study team, investigators, and others + + +Health Authority Interactions & Publications + + +Contributes to key Health Authority interactions and advisory board meetings as Clinical Trial Physician +Authors/drafts clinical content for CSRs, regulatory reports, briefing books and submission documents to support closure, clinical narratives, reporting and filling of the study in partnership with Clinical Scientists + + +Degree Requirements + + +MD required (or x-US equivalent) + + +Experience Requirements + + +3 or more years of Industry experience and/or clinical trials experience is required +Candidates with less industry experience will be considered if they demonstrate disease area expertise + + +Key Competency Requirements + + +Ability to communicate and present information clearly in scientific and clinical settings +Subspecialty training in applicable therapeutic area desired +Expertise in the scientific method to test hypotheses, including statistical design, analysis, and interpretation +Knowledge of drug development process +Knowledge of the components needed to execute an effective clinical plan and protocols +Strong leadership skills with proven ability to lead and work effectively in a team environment + + +Travel Required + +Domestic and International travel may be required. + +If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. + +Uniquely Interesting Work, Life-changing Careers + +With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. + +On-site Protocol + +BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role + +Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. + +BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. + +BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. + +BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. + +Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. +Show more ","
    + + + + + +
    +
    + Working with Us

    Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

    Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us .

    Functional Area Description

    The Clinical Trial Physician sits within Clinical Development, which is a global organization dedicated to the effective design and execution of drug development. Clinical Development drives clinical development strategy, design, execution, and interpretation of clinical trials.

    Position Summary/Objective

    • Serves as a primary source of medical accountability and oversight for clinical trials
    • Matrix management responsibilities across the internal and external network
    • Manages Phase 1 - Phase 3 studies, with demonstrated decision making capabilities
    • Provides medical and scientific expertise to cross-functional BMS colleagues

    Key Responsibilities

    Medical Monitoring

    • Contributes to and is a key member of a high performing Study Delivery Team (SDT) and may be a member of the Clinical Development Team (CDT)
    • Conducts medical data review of trial data, including eligibility review
    • Holds responsibility for site interactions in partnership with the Clinical Scientist (CS) for medical questions and education (including safety management guidelines)
    • Holds responsibility for assessment of key safety-related serious adverse events in partnership with Worldwide Patient Safety and oversees safety narratives
    • Collaborates with CS and inputs into protocols, providing medical strategic oversight in protocol development (input on inclusion/exclusion and other safety-related clinical considerations)
    • Fulfills GCP and compliance obligations for clinical conduct and maintains all required training

    Clinical Development Expertise & Strategy

    • In collaboration with the Clinical Development Program Lead, designs and develops clinical plans and protocols with a strong strategic focus based on knowledge of asset/drug, disease area and relevant science in order to meet regulatory and disease strategy targets
    • Provides oversight and medical accountability for a group of studies
    • Leads the analysis of benefit/risk for clinical development protocols in a matrix team environment working with Clinical Scientists
    • Partners with CS to support executional delivery of studies (e.g., site activation, enrollment status, as well as adjudication for protocol violations, significant, non-significant deviations etc.)
    • Identifies and builds relationships with principal investigators. Identifies and cultivates thought leaders in order to gain their inputs on emerging science in drug and biomarker research, disease knowledge, and design of clinical development studies and programs
    • Maintains a strong medical/scientific reputation within the disease area. Has in-depth knowledge of etiology, natural history, diagnosis, and treatment of the disorder. Keeps up-to-date in the disease area by attending scientific conferences and ongoing review of the literature
    • Keeps abreast of development and regulatory issues related to other competitive or relevant compounds in development and how our portfolio fits into the competitive landscape
    • Provides ongoing medical education in partnership with CS to allow for protocol-specific training, supporting the study team, investigators, and others

    Health Authority Interactions & Publications

    • Contributes to key Health Authority interactions and advisory board meetings as Clinical Trial Physician
    • Authors/drafts clinical content for CSRs, regulatory reports, briefing books and submission documents to support closure, clinical narratives, reporting and filling of the study in partnership with Clinical Scientists

    Degree Requirements

    • MD required (or x-US equivalent)

    Experience Requirements

    • 3 or more years of Industry experience and/or clinical trials experience is required
    • Candidates with less industry experience will be considered if they demonstrate disease area expertise

    Key Competency Requirements

    • Ability to communicate and present information clearly in scientific and clinical settings
    • Subspecialty training in applicable therapeutic area desired
    • Expertise in the scientific method to test hypotheses, including statistical design, analysis, and interpretation
    • Knowledge of drug development process
    • Knowledge of the components needed to execute an effective clinical plan and protocols
    • Strong leadership skills with proven ability to lead and work effectively in a team environment

    Travel Required

    Domestic and International travel may be required.

    If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

    Uniquely Interesting Work, Life-changing Careers

    With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

    On-site Protocol

    BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role

    Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

    BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.

    BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

    BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

    Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +3999296552,https://ch.linkedin.com/jobs/view/senior-research-associate-scientist-%E2%80%93-selection-screening-f-m-d-80-100%25-at-athebio-ag-3999296552?position=59&pageNum=0&refId=Vl3epa6elA6uUp3jpPoKqA%3D%3D&trackingId=%2BsYyAy6pO%2Bj9psPu0MQ2DQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Research Associate / Scientist – Selection & Screening (f/m/d) 80-100%,Athebio AG,"Zurich, Switzerland","🌟 Join Our Innovative Biotech Startup: Athebio 🌟 + +Founded in late 2019, Athebio is a highly innovative biotech startup on a mission to revolutionize the field of biotherapeutics. We specialize in developing advanced biotherapeutics for pharma partners based on Designed Ankyrin Repeat Proteins (DARPins). Our cutting-edge research and commitment to innovation and excellence drive us forward as we create next-generation targeted drug candidates. + + + + +🔬 Why Work with Us? + +Growth Opportunity: + +Are you ready to grow with us? At Athebio, you won’t just be an employee; you’ll be an active participant in shaping our company’s future. + +Passion for Innovation: + +We’re seeking individuals who share our passion for innovation. If you’re excited about pushing boundaries and creating ground-breaking solutions, we want to hear from you! + +Molecular Biology Experts Welcome: + +If you have a profound understanding of molecular biology and hands-on experience in selection and screening, we’d love to have you on our team. + +🏢 Our Location + +Join us at our state-of-the-art facility located in the Bio–Technopark in Schlieren, Zurich. As part of our R&D team, you’ll contribute to advancing our binding platform through innovation and research process optimization and play a crucial role in providing Athebody® DARPins to our partners. + +Ready to make a difference? Apply now and be part of the Athebio journey! 🚀 + + + + +Responsibilities + +Discovery: You’ll run discovery campaigns to deliver high-quality therapeutic lead candidates to our partners using ribosome display. Enhance Selection & Screening related processes, bringing fresh ideas and improvements to the table and independently solve challenges and establish new methods or optimizations. +Innovate with Athebody®: Contribute to innovations that propel our Athebody® Selection & Screening platform forward, pushing the boundaries of what’s possible. +Data Mastery: Analyze, interpret, and summarize data. Then, present your findings to the team, including management. +Knowledge Expansion: Continuously expand your scientific and technical expertise. +Scientific Excellence: Maintain rigorous standards in your experiments, striving for scientific excellence. +Lab Equipment Care: Ensure the smooth operation and maintenance of our laboratory equipment. + + + + +Qualifications + +MSc in a field of Life Sciences, e.g., (molecular/chemical) biology, biochemistry, or similar +Minimum 5 years of relevant professional experience +Strong experience in selection, screening of immunoglobulins (or other binding proteins), and protein expression (experience with RNA/ribosome display is a plus) +Dedication to hands-on work in the lab is crucial +Affinity to precise and clean working. This is a prerequisite for doing successful ribosome display selections. +Ability to independently and proactively design experiments to verify or falsify hypotheses. +Timely, independent, and exact working style in the planning and conduct of experiments and accurate documentation thereof +Critical thinking and problem-solving attitude +Openness to learn new methods, e.g. analytical SEC/HPLC – Circular Dichroism Spectroscopy (CD) and Surface Plasmon Resonance (SPR) +Team player with proactive communication +Ability to adapt to changing priorities in a fast-paced entrepreneurial environment + + + + +Familiarity with state-of-the-art IT and communication tools, electronic lab journals, and profound knowledge of Microsoft Office – advanced skills in Excel would be a plus. Good written and verbal communication skills in English – German would be a plus. + + + + +What we offer + +An exciting opportunity to take responsibility and grow both professionally and personally within an early-stage biotech startup. +Space to actively contribute and impact the development of the company. +Chance to learn from world-leading experts in the DARPin technology. +Multifaceted activity within a collaborative environment. +Joint team activities, such as sports, game nights, excursions, and many more. + + + + +About Athebio + +We explore and unlock the full therapeutic potential of repeat proteins and make it broadly available. Our mission is to help innovative drug developers create next-generation biologics by providing tailor-made repeat proteins and supporting them with in-depth expertise and superb service. By bringing the design and selection of repeat proteins to perfection, we strive to establish them as state-of-the-art binding proteins and revolutionize the way drug discovery is made today through co-creative innovation. + +We are driven by curiosity, creativity, and a passion for innovation. Focused on our customers’ success and the constant improvement of our technology, we strive for excellence in everything we do. We embrace the diversity of our team and are committed to building an inspiring, empowering, and caring environment that fosters personal responsibility, development, and growth. As part of nature and society, we act ethically and strive to create a positive impact in the world. + + + + +Workplace type: On-site (Zurich-Schlieren) + +Starting date: Flexible + + + + +Are you interested? Awesome! Drop us an e-mail with your CV and motivational letter to talent@athebio.com (Applications without a motivational letter will not be considered.) + +Show more ","
    + + + + + +
    +
    +

    🌟 Join Our Innovative Biotech Startup: Athebio 🌟

    Founded in late 2019, Athebio is a highly innovative biotech startup on a mission to revolutionize the field of biotherapeutics. We specialize in developing advanced biotherapeutics for pharma partners based on Designed Ankyrin Repeat Proteins (DARPins). Our cutting-edge research and commitment to innovation and excellence drive us forward as we create next-generation targeted drug candidates.


    🔬 Why Work with Us?

    Growth Opportunity:

    Are you ready to grow with us? At Athebio, you won’t just be an employee; you’ll be an active participant in shaping our company’s future.

    Passion for Innovation:

    We’re seeking individuals who share our passion for innovation. If you’re excited about pushing boundaries and creating ground-breaking solutions, we want to hear from you!

    Molecular Biology Experts Welcome:

    If you have a profound understanding of molecular biology and hands-on experience in selection and screening, we’d love to have you on our team.

    🏢 Our Location

    Join us at our state-of-the-art facility located in the Bio–Technopark in Schlieren, Zurich. As part of our R&D team, you’ll contribute to advancing our binding platform through innovation and research process optimization and play a crucial role in providing Athebody® DARPins to our partners.

    Ready to make a difference? Apply now and be part of the Athebio journey! 🚀


    Responsibilities

    • Discovery: You’ll run discovery campaigns to deliver high-quality therapeutic lead candidates to our partners using ribosome display. Enhance Selection & Screening related processes, bringing fresh ideas and improvements to the table and independently solve challenges and establish new methods or optimizations.
    • Innovate with Athebody®: Contribute to innovations that propel our Athebody® Selection & Screening platform forward, pushing the boundaries of what’s possible.
    • Data Mastery: Analyze, interpret, and summarize data. Then, present your findings to the team, including management.
    • Knowledge Expansion: Continuously expand your scientific and technical expertise.
    • Scientific Excellence: Maintain rigorous standards in your experiments, striving for scientific excellence.
    • Lab Equipment Care: Ensure the smooth operation and maintenance of our laboratory equipment.


    Qualifications

    • MSc in a field of Life Sciences, e.g., (molecular/chemical) biology, biochemistry, or similar
    • Minimum 5 years of relevant professional experience
    • Strong experience in selection, screening of immunoglobulins (or other binding proteins), and protein expression (experience with RNA/ribosome display is a plus)
    • Dedication to hands-on work in the lab is crucial
    • Affinity to precise and clean working. This is a prerequisite for doing successful ribosome display selections.
    • Ability to independently and proactively design experiments to verify or falsify hypotheses.
    • Timely, independent, and exact working style in the planning and conduct of experiments and accurate documentation thereof
    • Critical thinking and problem-solving attitude
    • Openness to learn new methods, e.g. analytical SEC/HPLC – Circular Dichroism Spectroscopy (CD) and Surface Plasmon Resonance (SPR)
    • Team player with proactive communication
    • Ability to adapt to changing priorities in a fast-paced entrepreneurial environment


    Familiarity with state-of-the-art IT and communication tools, electronic lab journals, and profound knowledge of Microsoft Office – advanced skills in Excel would be a plus. Good written and verbal communication skills in English – German would be a plus.


    What we offer

    • An exciting opportunity to take responsibility and grow both professionally and personally within an early-stage biotech startup.
    • Space to actively contribute and impact the development of the company.
    • Chance to learn from world-leading experts in the DARPin technology.
    • Multifaceted activity within a collaborative environment.
    • Joint team activities, such as sports, game nights, excursions, and many more.


    About Athebio

    We explore and unlock the full therapeutic potential of repeat proteins and make it broadly available. Our mission is to help innovative drug developers create next-generation biologics by providing tailor-made repeat proteins and supporting them with in-depth expertise and superb service. By bringing the design and selection of repeat proteins to perfection, we strive to establish them as state-of-the-art binding proteins and revolutionize the way drug discovery is made today through co-creative innovation.

    We are driven by curiosity, creativity, and a passion for innovation. Focused on our customers’ success and the constant improvement of our technology, we strive for excellence in everything we do. We embrace the diversity of our team and are committed to building an inspiring, empowering, and caring environment that fosters personal responsibility, development, and growth. As part of nature and society, we act ethically and strive to create a positive impact in the world.


    Workplace type: On-site (Zurich-Schlieren)

    Starting date: Flexible


    Are you interested? Awesome! Drop us an e-mail with your CV and motivational letter to talent@athebio.com (Applications without a motivational letter will not be considered.)

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +4005551980,https://ch.linkedin.com/jobs/view/senior-machine-learning-engineer-lausanne-at-visium-4005551980?position=1&pageNum=2&refId=WpnIQx8xMhx7Je28p0ppWA%3D%3D&trackingId=3NRluKctbt65bf7mj6dZMg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Machine Learning Engineer (Lausanne),Visium,"Lausanne, Vaud, Switzerland","Title: Senior Machine Learning Engineer + +Type: Permanent contract + +Location: Switzerland (Lausanne or Zurich) + +About Us + +At Visium, we enable enterprise executives in defining their AI & Data strategy, executing large scale transformations and implementing AI across operations, ensuring their organization becomes future-proof. + +With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data. + +We're on a mission to pioneer a bright future and build future-proof and ethical organizations. Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we're all in awe of - our Visumees. + +Ready to become one? + +Role + +As a Senior Machine Learning Engineer, you will assume a technical leadership role in designing, implementing and deploying innovative solutions with tangible business impact. Join our growing team and contribute to our expansion in Switzerland and internationally + +Coupling state-of-the-art Machine Learning techniques with best practices in Software Engineering you will build robust and scalable applications that empower our clients to drive meaningful value from their data. You are passionate about understanding client needs to drive top-notch customer experience and adoption. Finally, you are meticulously organized and prepared to work in a fast-paced and dynamic team environment. + +Requirements + +Embark on a rewarding journey where you + + +Proactively take ownership of projects, making decisions and ensuring successful outcomes +Embrace challenges as opportunities to learn, actively seeking and sharing feedback to expand your skills +Exhibit genuine empathy, understanding diverse perspectives and fostering a collaborative and team-oriented atmosphere +Have strong communication skills and the ability to present insights to non-technical and technical stakeholders in an accessible way + + +In addition, this should be part of your background to apply + + +4+ years of professional experience as a Machine Learning or Data Scientist or in a relevant role +Experience with ML/DL frameworks and tools in Python (e.g., Scikit-Learn, TensorFlow, Keras, PyTorch, huggingface/transformers) +Proficiency in Software Development best practices (e.g., Object-Oriented Programming, Design Patterns, Agile Methodology) +Experience in applying deep learning approaches, such as recurrent and convolutional neural networks and transformer models +Experience with MLOps best practices and tools (e.g., dvc, MLFlow, tfX, Kubeflow) +Experience developing and deploying ML solutions using Cloud services (e.g., AWS Sagemaker, GCP Vertex.AI, Azure ML) +Familiarity with REST API and microservices + + +The following are a plus + + +Experience with Data and AI platforms (Databricks, Dataiku, Snowflake) or an associated Data Engineer certification +Experience working in a client-facing or consulting role +Familiarity with Generative AI models & tools (e.g., langchain, OpenAI API, LLama2) +Familiarity with web development (e.g., Next.js, React, FastAPI, Flask) + + + +Benefits + +What we offer + + +A competitive compensation package +A yearly education budget to steep your learning curve +A yearly sport budget because a fit body leads to a fit mind +A flexible working culture because your work-life balance matters to us +A position that enables you to have an impact on 1'000s of people, and the whole company's growth +An international, knowledgeable, and passionate team with a strong collaborative mindset + + +Check our LinkedIn and website to learn more about us & don't hesitate to contact us if you have any questions. +Show more ","
    + + + + + +
    +
    + Title: Senior Machine Learning Engineer

    Type: Permanent contract

    Location: Switzerland (Lausanne or Zurich)

    About Us

    At Visium, we enable enterprise executives in defining their AI & Data strategy, executing large scale transformations and implementing AI across operations, ensuring their organization becomes future-proof.

    With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data.

    We're on a mission to pioneer a bright future and build future-proof and ethical organizations. Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we're all in awe of - our Visumees.

    Ready to become one?

    Role

    As a Senior Machine Learning Engineer, you will assume a technical leadership role in designing, implementing and deploying innovative solutions with tangible business impact. Join our growing team and contribute to our expansion in Switzerland and internationally

    Coupling state-of-the-art Machine Learning techniques with best practices in Software Engineering you will build robust and scalable applications that empower our clients to drive meaningful value from their data. You are passionate about understanding client needs to drive top-notch customer experience and adoption. Finally, you are meticulously organized and prepared to work in a fast-paced and dynamic team environment.

    Requirements

    Embark on a rewarding journey where you

    • Proactively take ownership of projects, making decisions and ensuring successful outcomes
    • Embrace challenges as opportunities to learn, actively seeking and sharing feedback to expand your skills
    • Exhibit genuine empathy, understanding diverse perspectives and fostering a collaborative and team-oriented atmosphere
    • Have strong communication skills and the ability to present insights to non-technical and technical stakeholders in an accessible way

    In addition, this should be part of your background to apply

    • 4+ years of professional experience as a Machine Learning or Data Scientist or in a relevant role
    • Experience with ML/DL frameworks and tools in Python (e.g., Scikit-Learn, TensorFlow, Keras, PyTorch, huggingface/transformers)
    • Proficiency in Software Development best practices (e.g., Object-Oriented Programming, Design Patterns, Agile Methodology)
    • Experience in applying deep learning approaches, such as recurrent and convolutional neural networks and transformer models
    • Experience with MLOps best practices and tools (e.g., dvc, MLFlow, tfX, Kubeflow)
    • Experience developing and deploying ML solutions using Cloud services (e.g., AWS Sagemaker, GCP Vertex.AI, Azure ML)
    • Familiarity with REST API and microservices

    The following are a plus

    • Experience with Data and AI platforms (Databricks, Dataiku, Snowflake) or an associated Data Engineer certification
    • Experience working in a client-facing or consulting role
    • Familiarity with Generative AI models & tools (e.g., langchain, OpenAI API, LLama2)
    • Familiarity with web development (e.g., Next.js, React, FastAPI, Flask)


    Benefits

    What we offer

    • A competitive compensation package
    • A yearly education budget to steep your learning curve
    • A yearly sport budget because a fit body leads to a fit mind
    • A flexible working culture because your work-life balance matters to us
    • A position that enables you to have an impact on 1'000s of people, and the whole company's growth
    • An international, knowledgeable, and passionate team with a strong collaborative mindset

    Check our LinkedIn and website to learn more about us & don't hesitate to contact us if you have any questions. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-26,[] +4004582732,https://ch.linkedin.com/jobs/view/junior-full-stack-software-engineer-for-biomedical-data-science-at-chuv-%C2%A0lausanne-university-hospital-4004582732?position=2&pageNum=2&refId=WpnIQx8xMhx7Je28p0ppWA%3D%3D&trackingId=p4c49auBMZC2FCwIgCRMzg%3D%3D&trk=public_jobs_jserp-result_search-card,Junior full-stack software engineer for Biomedical data science,CHUV | Lausanne university hospital,"Lausanne, Vaud, Switzerland","Se connecter Créer un compte Liste des offres d'emplois + + +Cahier des charges (PDF, 156.22kb) + + +ContexteThe Lausanne University Hospital (CHUV) is a key player in medical care and biomedical research both at national and international levels. The mission of the Clinical Data Science Group (CDS), part of the newly established Biomedical Data Science Center, is to develop and apply innovative data-driven solutions based on artificial intelligence and machine learning techniques for better healthcare services delivery, management, and research.Working with us, you’ll join a dynamic team of research scientists, data scientists, and engineers working in close collaboration with expert clinicians; and you will be part of major national and international collaborations, tackling important challenges at the intersection of multimodal data science, semantic-driven knowledge representation, privacy-preserving data sharing, and personalized health.Mission + + +You will actively contribute to the technical design and implementation of innovative applications for medical research and clinical decision support based on AI; this includes implementation of web applications for clinicians and data scientists (back + front), and extension of existing open-source health informatics software +You will deploy and maintain the said applications in the CHUV information system (and other partnering sites if applicable) +You will support data scientists in the development of their projects +You will help administer, maintain, and develop the compute infrastructure of the team to make sure all projects can be delivered successfully +You will participate in code reviews and peer learning. + + +Profil + + +Master’s degree (with industry internship experience) or Bachelor’s degree with 2y working experience in computer science, software engineering or an associated field +Experience with Angular, React, Vue.js or other front-end frameworks +Experience with Python, Javascript, Go or another OOP back-end programming language +Experience in production environments: Documentation/Specification, Unit tests, Deployment, Code optimization, Code versioning +Proficiency with container-based deployments: Docker, Kubernetes, etc. +Familiarity with Linux/Unix-like environments +You like to work in multidisciplinary environments +You value process, standards, communication and code quality +You want to help build never-before-seen technologies +You are fluent in English (knowledge of French would be a plus) +Nice to haves: +Experience in medical industry, including writing software requirements, verification testing and applicable standards +Experience in cyber security and applicable standards +Familiarity with Machine Learning/Deep Learning frameworks and MLOps. +Experience in medical industry, including writing software requirements, verification testing and applicable standards +Experience in cyber security and applicable standards +Familiarity with Machine Learning/Deep Learning frameworks and MLOps. + + +Nous offronsThe Lausanne University Hospital is located in the vibrant city of Lausanne, one of the most cultural and economic dynamic cities in Switzerland. Our new center is part of the main Hospital campus, and benefits from direct interactions with scientists and clinicians located here (including at the new AGORA cancer cluster). We are also two metro stations from the Biopole life sciences campus that hosts a large number of research groups and life sciences companies. You will work in a fantastic environment where fundamental and clinical research meet to accelerate new breakthroughs that will ultimately transform patient care. Our organization aims to make the world a better place, and we strongly believe in healthy work-life balance. As a group, we value inclusion and a diversity of backgrounds and perspectives to inform our work. We believe in supporting each other through mentorship and providing resources for professional development.To become an employee of the world-famous University Hospital Center from the Canton of Vaud is an assurance of: + + +First degree social benefits and 20-days paternity leave +Regular salary progression adapted to responsibilities +13th salary guaranteed and 25+5 days of vacation per year +A right to a minimum of three days of training per year, with access to a wide offer within the CHUV Training Center and through external partners of the State of Vaud +Possibility to access one of the 500 furnished apartments offered in the surrounding neighborhoods in case of relocation +Social, cultural and economic benefits offered to members of the H-Oxygène association +Benefits offered as part of the Mobility Plan (discounts on public transport subscriptions, promotion of “Mobility” vehicles and discounts on the purchase of electric bicycles) +Corporate restaurants of hotel quality, in the hospital buildings, with preferential rates. + + +Contact et envoi de candidatureContact for information on the function : Prof. Jean Louis Raisaro - Head of CDS Group - 021 314 52 25.All of our applications are processed electronically. For this reason, we kindly ask you to apply exclusively by clicking on the APPLY button at the bottom of the advertisement.Should you experience any problems with your application, you can consult our document ""how to apply online"". In case of technical issues, you can contact our Recruitment team who will help you (e.recrutement@chuv.ch / +41 21 314 85 70) The CHUV applies the highest quality requirements as part of its recruitment process. In addition, mindful to promote workplace diversity and inclusion we strive to ensure equal treatment and avoid any discrimination. We are looking forward to receiving your application.We would like to inform external recruitment agencies that any application inserted directly on our recruitment platform won’t be accepted and cannot be charged. Thank you for your understanding. +Show more ","
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    ContexteThe Lausanne University Hospital (CHUV) is a key player in medical care and biomedical research both at national and international levels. The mission of the Clinical Data Science Group (CDS), part of the newly established Biomedical Data Science Center, is to develop and apply innovative data-driven solutions based on artificial intelligence and machine learning techniques for better healthcare services delivery, management, and research.Working with us, you’ll join a dynamic team of research scientists, data scientists, and engineers working in close collaboration with expert clinicians; and you will be part of major national and international collaborations, tackling important challenges at the intersection of multimodal data science, semantic-driven knowledge representation, privacy-preserving data sharing, and personalized health.Mission

    • You will actively contribute to the technical design and implementation of innovative applications for medical research and clinical decision support based on AI; this includes implementation of web applications for clinicians and data scientists (back + front), and extension of existing open-source health informatics software
    • You will deploy and maintain the said applications in the CHUV information system (and other partnering sites if applicable)
    • You will support data scientists in the development of their projects
    • You will help administer, maintain, and develop the compute infrastructure of the team to make sure all projects can be delivered successfully
    • You will participate in code reviews and peer learning.

    Profil

    • Master’s degree (with industry internship experience) or Bachelor’s degree with 2y working experience in computer science, software engineering or an associated field
    • Experience with Angular, React, Vue.js or other front-end frameworks
    • Experience with Python, Javascript, Go or another OOP back-end programming language
    • Experience in production environments: Documentation/Specification, Unit tests, Deployment, Code optimization, Code versioning
    • Proficiency with container-based deployments: Docker, Kubernetes, etc.
    • Familiarity with Linux/Unix-like environments
    • You like to work in multidisciplinary environments
    • You value process, standards, communication and code quality
    • You want to help build never-before-seen technologies
    • You are fluent in English (knowledge of French would be a plus)
    • Nice to haves:
    • Experience in medical industry, including writing software requirements, verification testing and applicable standards
    • Experience in cyber security and applicable standards
    • Familiarity with Machine Learning/Deep Learning frameworks and MLOps.
    • Experience in medical industry, including writing software requirements, verification testing and applicable standards
    • Experience in cyber security and applicable standards
    • Familiarity with Machine Learning/Deep Learning frameworks and MLOps.

    Nous offronsThe Lausanne University Hospital is located in the vibrant city of Lausanne, one of the most cultural and economic dynamic cities in Switzerland. Our new center is part of the main Hospital campus, and benefits from direct interactions with scientists and clinicians located here (including at the new AGORA cancer cluster). We are also two metro stations from the Biopole life sciences campus that hosts a large number of research groups and life sciences companies. You will work in a fantastic environment where fundamental and clinical research meet to accelerate new breakthroughs that will ultimately transform patient care. Our organization aims to make the world a better place, and we strongly believe in healthy work-life balance. As a group, we value inclusion and a diversity of backgrounds and perspectives to inform our work. We believe in supporting each other through mentorship and providing resources for professional development.To become an employee of the world-famous University Hospital Center from the Canton of Vaud is an assurance of:

    • First degree social benefits and 20-days paternity leave
    • Regular salary progression adapted to responsibilities
    • 13th salary guaranteed and 25+5 days of vacation per year
    • A right to a minimum of three days of training per year, with access to a wide offer within the CHUV Training Center and through external partners of the State of Vaud
    • Possibility to access one of the 500 furnished apartments offered in the surrounding neighborhoods in case of relocation
    • Social, cultural and economic benefits offered to members of the H-Oxygène association
    • Benefits offered as part of the Mobility Plan (discounts on public transport subscriptions, promotion of “Mobility” vehicles and discounts on the purchase of electric bicycles)
    • Corporate restaurants of hotel quality, in the hospital buildings, with preferential rates.

    Contact et envoi de candidatureContact for information on the function : Prof. Jean Louis Raisaro - Head of CDS Group - 021 314 52 25.All of our applications are processed electronically. For this reason, we kindly ask you to apply exclusively by clicking on the APPLY button at the bottom of the advertisement.Should you experience any problems with your application, you can consult our document ""how to apply online"". In case of technical issues, you can contact our Recruitment team who will help you (e.recrutement@chuv.ch / +41 21 314 85 70) The CHUV applies the highest quality requirements as part of its recruitment process. In addition, mindful to promote workplace diversity and inclusion we strive to ensure equal treatment and avoid any discrimination. We are looking forward to receiving your application.We would like to inform external recruitment agencies that any application inserted directly on our recruitment platform won’t be accepted and cannot be charged. Thank you for your understanding. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +4005189221,https://ch.linkedin.com/jobs/view/data-scientist-at-jobs-via-efinancialcareers-4005189221?position=3&pageNum=2&refId=WpnIQx8xMhx7Je28p0ppWA%3D%3D&trackingId=IUqLR%2FejWGdwB44vbj81Cw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Jobs via eFinancialCareers,"Geneva, Geneva, Switzerland","MAIN DUTIES/RESPONSIBILITIES OF THE ROLE: + +The opportunity is to join a one of Brevan Howard's largest portfolio management teams in Geneva as a data scientist to work on data-driven research projects including using the latest tools in AI. The hire will work closely with senior portfolio managers and a team of research analysts. + +Responsibilities will include + +Design, develop and evolve research workflow & full stack of data science tools Develop and maintain engineering best practices including focus on high standards across all stages of research Collaborate with other members to translate their needs into scalable, standardized solutions Building new tools for conducting statistical analysis over large datasets Designing infrastructure to more effectively leverage compute cluster + +As such the candidate should have very strong programming skills (Python, Java (or C++), SQL) and must have experience working with large data sets covering different data types (numerical, text, other) and be adaptable to rapidly changing requirements. + +WORK EXPERIENCE/BACKGROUNDTECHNICAL/BUSINESS SKILLS & KNOWLEDGE: + +Essential + +PHD or masters (with experience) in a quantitative field such as computer science, statistics, mathematics, or a related field. Will also consider candidates with submissions to machine learning competitions or publically available code repos. Demonstrable very strong coding skills (Python, Java (or C++), SQL), Well-versed in machine learning techniques such as supervised and unsupervised learning, natural language processing, and deep learning Solid foundation in statistics and be able to perform various statistical analyses such as hypothesis testing, regression analysis, and time-series analysis Broad knowledge & experience of database concepts with proficiency in SQL, databases and big data technologies Knowledge of financial data - both numerical and textual Experience in processing large and complex datasets Emphasis in good engineering practices, design, testing and strategic solutions Strong communication skills Self-motivated, proactive Ability to perform well under pressure Enthusiastic, flexible and adaptable Ability to work effectively and independently as well as part of a team Good interpersonal skills + +Desirable + +Other candidates with submissions to machine learning competitions, such as Kaggle, are also encouraged to apply. Participation in these competitions demonstrates a strong interest and aptitude in data science and machine learning. + +TECHNICAL/BUSINESS SKILLS & KNOWLEDGE: + +Essential + +Programming: you should have strong programming skills in languages such as Python. These skills will enable you to manipulate, analyse and visualize large datasets Machine learning: you should be well-versed in machine learning techniques such as supervised and unsupervised learning, natural language processing, and deep learning Statistical analysis: you should have a solid foundation in statistics and be able to perform various statistical analyses such as hypothesis testing, regression analysis, and time-series analysis Data visualization: you should be able to present data in a clear and compelling manner using data visualization tools Communication: you should be able to effectively communicate complex data-driven insights to both technical and non-technical stakeholders Problem-solving: you should be able to identify and solve complex problems using data-driven approaches Continuous learning: you should be committed to continuous learning and staying up-to-date with the latest technologies and trends in data science and finance + +Desirable + +Knowledge of latest LLM models and their capabilities / weaknesses Knowledge in advanced AI methodologies +Show more ","
    + + + + + +
    +
    + MAIN DUTIES/RESPONSIBILITIES OF THE ROLE:

    The opportunity is to join a one of Brevan Howard's largest portfolio management teams in Geneva as a data scientist to work on data-driven research projects including using the latest tools in AI. The hire will work closely with senior portfolio managers and a team of research analysts.

    Responsibilities will include

    Design, develop and evolve research workflow & full stack of data science tools Develop and maintain engineering best practices including focus on high standards across all stages of research Collaborate with other members to translate their needs into scalable, standardized solutions Building new tools for conducting statistical analysis over large datasets Designing infrastructure to more effectively leverage compute cluster

    As such the candidate should have very strong programming skills (Python, Java (or C++), SQL) and must have experience working with large data sets covering different data types (numerical, text, other) and be adaptable to rapidly changing requirements.

    WORK EXPERIENCE/BACKGROUNDTECHNICAL/BUSINESS SKILLS & KNOWLEDGE:

    Essential

    PHD or masters (with experience) in a quantitative field such as computer science, statistics, mathematics, or a related field. Will also consider candidates with submissions to machine learning competitions or publically available code repos. Demonstrable very strong coding skills (Python, Java (or C++), SQL), Well-versed in machine learning techniques such as supervised and unsupervised learning, natural language processing, and deep learning Solid foundation in statistics and be able to perform various statistical analyses such as hypothesis testing, regression analysis, and time-series analysis Broad knowledge & experience of database concepts with proficiency in SQL, databases and big data technologies Knowledge of financial data - both numerical and textual Experience in processing large and complex datasets Emphasis in good engineering practices, design, testing and strategic solutions Strong communication skills Self-motivated, proactive Ability to perform well under pressure Enthusiastic, flexible and adaptable Ability to work effectively and independently as well as part of a team Good interpersonal skills

    Desirable

    Other candidates with submissions to machine learning competitions, such as Kaggle, are also encouraged to apply. Participation in these competitions demonstrates a strong interest and aptitude in data science and machine learning.

    TECHNICAL/BUSINESS SKILLS & KNOWLEDGE:

    Essential

    Programming: you should have strong programming skills in languages such as Python. These skills will enable you to manipulate, analyse and visualize large datasets Machine learning: you should be well-versed in machine learning techniques such as supervised and unsupervised learning, natural language processing, and deep learning Statistical analysis: you should have a solid foundation in statistics and be able to perform various statistical analyses such as hypothesis testing, regression analysis, and time-series analysis Data visualization: you should be able to present data in a clear and compelling manner using data visualization tools Communication: you should be able to effectively communicate complex data-driven insights to both technical and non-technical stakeholders Problem-solving: you should be able to identify and solve complex problems using data-driven approaches Continuous learning: you should be committed to continuous learning and staying up-to-date with the latest technologies and trends in data science and finance

    Desirable

    Knowledge of latest LLM models and their capabilities / weaknesses Knowledge in advanced AI methodologies +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3990663716,https://ch.linkedin.com/jobs/view/ai-research-scientist-vllm-vision-large-language-models-generative-ai-at-meta-3990663716?position=5&pageNum=2&refId=WpnIQx8xMhx7Je28p0ppWA%3D%3D&trackingId=7Knv4L%2Bmd0gPu5CfhLlpLQ%3D%3D&trk=public_jobs_jserp-result_search-card,"AI Research Scientist, VLLM (vision large language models) - Generative AI",Meta,"Zurich, Zurich, Switzerland","Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models. + +AI Research Scientist, VLLM (vision large language models) - Generative AI Responsibilities: + + +Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research. +Work towards long-term ambitious research goals, while identifying intermediate milestones. +Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. +Work with a large team. +Contribute to publications and open-sourcing efforts. +Mentor other team members. Play a significant role in healthy cross-functional collaboration. +Prioritize research that can be applied to Meta's product development. + + +Minimum Qualifications: + + +A PhD in AI, computer science, or related technical fields. +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. +Experience holding an industry, faculty, or government researcher position. +Publications in machine learning, computer vision, NLP, speech +Experience writing software and executing complex experiments involving large AI models and datasets. +Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. + + +Preferred Qualifications: + + +Direct experience in generative AI and LLM research. +First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). +Fluent in Python and PyTorch (or equivalent) + + +About Meta: + +Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. + +Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +Show more ","
    + + + + + +
    +
    + Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models.

    AI Research Scientist, VLLM (vision large language models) - Generative AI Responsibilities:

    • Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
    • Work towards long-term ambitious research goals, while identifying intermediate milestones.
    • Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
    • Work with a large team.
    • Contribute to publications and open-sourcing efforts.
    • Mentor other team members. Play a significant role in healthy cross-functional collaboration.
    • Prioritize research that can be applied to Meta's product development.

    Minimum Qualifications:

    • A PhD in AI, computer science, or related technical fields.
    • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
    • Experience holding an industry, faculty, or government researcher position.
    • Publications in machine learning, computer vision, NLP, speech
    • Experience writing software and executing complex experiments involving large AI models and datasets.
    • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

    Preferred Qualifications:

    • Direct experience in generative AI and LLM research.
    • First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
    • Fluent in Python and PyTorch (or equivalent)

    About Meta:

    Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

    Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3990664638,https://ch.linkedin.com/jobs/view/ai-research-scientist-vllm-vision-large-language-models-generative-ai-at-meta-3990664638?position=7&pageNum=2&refId=WpnIQx8xMhx7Je28p0ppWA%3D%3D&trackingId=DNA3C5sG6PXUiGaQ16oE0Q%3D%3D&trk=public_jobs_jserp-result_search-card,"AI Research Scientist, VLLM (vision large language models) - Generative AI",Meta,"Zurich, Zurich, Switzerland","Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models. + +AI Research Scientist, VLLM (vision large language models) - Generative AI Responsibilities: + + +Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research. +Work towards long-term ambitious research goals, while identifying intermediate milestones. +Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. +Work with a large team. +Contribute to publications and open-sourcing efforts. +Mentor other team members. Play a significant role in healthy cross-functional collaboration. +Prioritize research that can be applied to Meta's product development. + + +Minimum Qualifications: + + +A PhD in AI, computer science, or related technical fields, and 7+ years of experiences in AI. +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. +Experience holding an industry, faculty, or government researcher position. +Publications in machine learning, computer vision, NLP, speech. +Experience writing software and executing complex experiments involving large AI models and datasets. +Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. + + +Preferred Qualifications: + + +Direct experience in generative AI and LLM research. +First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). +Fluent in Python and PyTorch (or equivalent). + + +About Meta: + +Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. + +Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +Show more ","
    + + + + + +
    +
    + Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models.

    AI Research Scientist, VLLM (vision large language models) - Generative AI Responsibilities:

    • Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
    • Work towards long-term ambitious research goals, while identifying intermediate milestones.
    • Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
    • Work with a large team.
    • Contribute to publications and open-sourcing efforts.
    • Mentor other team members. Play a significant role in healthy cross-functional collaboration.
    • Prioritize research that can be applied to Meta's product development.

    Minimum Qualifications:

    • A PhD in AI, computer science, or related technical fields, and 7+ years of experiences in AI.
    • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
    • Experience holding an industry, faculty, or government researcher position.
    • Publications in machine learning, computer vision, NLP, speech.
    • Experience writing software and executing complex experiments involving large AI models and datasets.
    • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

    Preferred Qualifications:

    • Direct experience in generative AI and LLM research.
    • First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
    • Fluent in Python and PyTorch (or equivalent).

    About Meta:

    Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

    Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +4000193064,https://ch.linkedin.com/jobs/view/senior-data-scientist-at-world-intellectual-property-organization-%E2%80%93-wipo-4000193064?position=8&pageNum=2&refId=WpnIQx8xMhx7Je28p0ppWA%3D%3D&trackingId=%2Bgj88vBvpfZX0CyB%2Fmrfew%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,World Intellectual Property Organization – WIPO,"Geneva, Switzerland","Information and Communication Technology Department, Administration, Finance and Management Sector + +Contract Duration - 2 years (maximum cumulative length of 5 years) * + +Duty Station: CH-Geneva + +Application Deadline: 10-Sep-2024 + + + + + + + + + + +This post is a limited-term fixed-term post. + + + + + + + +1. Organizational Context + + + + + + + +a. Organizational Setting + + + + +The post is in the Information and Communication Technology Department (ICTD) of Administration, Finance and Management Sector. + + + + +The Information and Communication Technology Department (ICTD) is responsible for the digital, data, and technology transformation of the Organization, with a focus on service quality, efficiency, security, and sustainability. To support the achievement of WIPO's vision, the Department is leading the development and execution of the Organization's Infotech strategy, which aims at enabling our internal and external customers' success through Infotech excellence. + + + + +The Department provides its customers with shared Infotech services such as program & project management, enterprise architecture, data management, digital workplace, solution hosting, and software development & maintenance of various critical systems, including Enterprise Solutions, Hague, Madrid, Patent Cooperation Treaty (PCT) Information Systems. + + + + +b. Purpose Statement + + + + +The main role of Senior Data Scientist is to analyze and interpret complex datasets by using state-of-the-art data science techniques. Collaborating closely with the central data team the incumbent performs descriptive and predictive analysis which can contribute to value added usage of data such as meaningful visualizations and reports that reveal trends, patterns, and opportunities, thereby informing and propelling key business initiatives in WIPO. + + + + +c. Reporting Lines + + + + +The incumbent works under the supervision of the Chief Data Officer (CDO). + + + + +d. Work Relations + + + + +The incumbent liaises with relevant internal business and technical stakeholders across the Organization and works as well with external stakeholders such as onsite or remote consultants. + + + + + + + +2. Duties and Responsibilities + + + + +The incumbent will perform the following principal duties: + + + + +a. Lead the Development of business reports, visualization tools, and data analytics solutions to facilitate actionable insights and support the strategic business objectives across various functions. + + + + +b. Systematically study, explore and evaluate new and existing data sources and analytical systems to determine their effectiveness and accuracy and recommend necessary improvement to ensure data integrity and reliability. + + + + +c. Design and build predictive data science systems and products, such as visualizations, models, AI/ML algorithms for initial simulations or prototypes and subsequent ingestion into mainstream software application. + + + + +d. Develop data products, tools, and processes to periodically validate the effectiveness of data science products and their expected and observed benefits. Conduct impact assessment against pre-defined KPIs and evaluate user feedback to continuously improve the products. + + + + +e. Perform an advocacy and advisory role with stakeholders, and IT teams to assess infrastructure, software and services needed to develop and deploy data science products. + + + + +f. Lead the promotion of data science solutions by showcasing the products to business stakeholders. Champion literacy within different lines of business to create self-service analytics capabilities. + + + + +g. Develop guidelines, standard operating procedures, and best practices to support the data science processes, tools, and enterprise architecture across the organization. + + + + +h. Perform additional related duties as required, including active participation in divisional activities, demonstrating flexibility and a collaborative approach to team projects and initiatives. + + + + + + + +3. Requirements + + + + +Education (Essential) + +Advanced university degree in Statistics, Mathematics, Economics, Computer Science, Information Management or a related field. A first-level university degree plus two years of relevant experience in addition to the experience requested below may be acceptable in lieu of an advanced university degree. + + + + +Experience (Essential) + +At least seven years of professional experience in the field of applied analytics, business intelligence, information management, statistics. + + + + +Experience in designing and deploying solutions that apply data science-oriented methodologies such as time series methods, econometric methods, machine learning algorithms, etc. + + + + +Experience in working in one or more data science languages like R, Python, SPARK, MATLAB, etc. + + + + +Experience in data visualizing tools like Tableau, Power BI, etc.. + + + + +Language (Essential) + +Excellent written and spoken knowledge of English. + + + + +Job Related Competencies (Essential) + +Sound understanding of several of the following disciplines: Predictive Analytics, Data Mining, Machine Learning, Text Analytics, Algorithm Designs, Statistical Modelling. + + + + +Excellent analytical and organizational skills, with a proven ability to manage projects effectively. + + + + +Adept at adapting to rapidly changing and disruptive environments. Maintain productive relationships with stakeholders in a multicultural setting with sensitivity and respect for diversity. + + + + +Job Related Competencies (Desirable) + +Integrity in dealing with confidential and sensitive data. + + + + +Critical thinking and creativity skills. + + + + +Excellent time management and work organization skills. + + + + + + + +4. Organizational Competencies + + + + +1. Communicating effectively. + +2. Showing team spirit. + +3. Demonstrating integrity. + +4. Valuing diversity. + +5. Producing results. + +6. Showing service orientation. + +7. Seeing the big picture. + +8. Seeking change and innovation. + +9. Developing yourself and others. + + + + +For more information including on the salaries and benefits please check the WIPO Careers website. + +Show more ","
    + + + + + +
    +
    +

    Information and Communication Technology Department, Administration, Finance and Management Sector

    Contract Duration - 2 years (maximum cumulative length of 5 years) *

    Duty Station: CH-Geneva

    Application Deadline: 10-Sep-2024




    This post is a limited-term fixed-term post.



    1. Organizational Context



    a. Organizational Setting


    The post is in the Information and Communication Technology Department (ICTD) of Administration, Finance and Management Sector.


    The Information and Communication Technology Department (ICTD) is responsible for the digital, data, and technology transformation of the Organization, with a focus on service quality, efficiency, security, and sustainability. To support the achievement of WIPO's vision, the Department is leading the development and execution of the Organization's Infotech strategy, which aims at enabling our internal and external customers' success through Infotech excellence.


    The Department provides its customers with shared Infotech services such as program & project management, enterprise architecture, data management, digital workplace, solution hosting, and software development & maintenance of various critical systems, including Enterprise Solutions, Hague, Madrid, Patent Cooperation Treaty (PCT) Information Systems.


    b. Purpose Statement


    The main role of Senior Data Scientist is to analyze and interpret complex datasets by using state-of-the-art data science techniques. Collaborating closely with the central data team the incumbent performs descriptive and predictive analysis which can contribute to value added usage of data such as meaningful visualizations and reports that reveal trends, patterns, and opportunities, thereby informing and propelling key business initiatives in WIPO.


    c. Reporting Lines


    The incumbent works under the supervision of the Chief Data Officer (CDO).


    d. Work Relations


    The incumbent liaises with relevant internal business and technical stakeholders across the Organization and works as well with external stakeholders such as onsite or remote consultants.



    2. Duties and Responsibilities


    The incumbent will perform the following principal duties:


    a. Lead the Development of business reports, visualization tools, and data analytics solutions to facilitate actionable insights and support the strategic business objectives across various functions.


    b. Systematically study, explore and evaluate new and existing data sources and analytical systems to determine their effectiveness and accuracy and recommend necessary improvement to ensure data integrity and reliability.


    c. Design and build predictive data science systems and products, such as visualizations, models, AI/ML algorithms for initial simulations or prototypes and subsequent ingestion into mainstream software application.


    d. Develop data products, tools, and processes to periodically validate the effectiveness of data science products and their expected and observed benefits. Conduct impact assessment against pre-defined KPIs and evaluate user feedback to continuously improve the products.


    e. Perform an advocacy and advisory role with stakeholders, and IT teams to assess infrastructure, software and services needed to develop and deploy data science products.


    f. Lead the promotion of data science solutions by showcasing the products to business stakeholders. Champion literacy within different lines of business to create self-service analytics capabilities.


    g. Develop guidelines, standard operating procedures, and best practices to support the data science processes, tools, and enterprise architecture across the organization.


    h. Perform additional related duties as required, including active participation in divisional activities, demonstrating flexibility and a collaborative approach to team projects and initiatives.



    3. Requirements


    Education (Essential)

    Advanced university degree in Statistics, Mathematics, Economics, Computer Science, Information Management or a related field. A first-level university degree plus two years of relevant experience in addition to the experience requested below may be acceptable in lieu of an advanced university degree.


    Experience (Essential)

    At least seven years of professional experience in the field of applied analytics, business intelligence, information management, statistics.


    Experience in designing and deploying solutions that apply data science-oriented methodologies such as time series methods, econometric methods, machine learning algorithms, etc.


    Experience in working in one or more data science languages like R, Python, SPARK, MATLAB, etc.


    Experience in data visualizing tools like Tableau, Power BI, etc..


    Language (Essential)

    Excellent written and spoken knowledge of English.


    Job Related Competencies (Essential)

    Sound understanding of several of the following disciplines: Predictive Analytics, Data Mining, Machine Learning, Text Analytics, Algorithm Designs, Statistical Modelling.


    Excellent analytical and organizational skills, with a proven ability to manage projects effectively.


    Adept at adapting to rapidly changing and disruptive environments. Maintain productive relationships with stakeholders in a multicultural setting with sensitivity and respect for diversity.


    Job Related Competencies (Desirable)

    Integrity in dealing with confidential and sensitive data.


    Critical thinking and creativity skills.


    Excellent time management and work organization skills.



    4. Organizational Competencies


    1. Communicating effectively.

    2. Showing team spirit.

    3. Demonstrating integrity.

    4. Valuing diversity.

    5. Producing results.

    6. Showing service orientation.

    7. Seeing the big picture.

    8. Seeking change and innovation.

    9. Developing yourself and others.


    For more information including on the salaries and benefits please check the WIPO Careers website.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +4005142109,https://ch.linkedin.com/jobs/view/data-scientist-at-jobs-via-efinancialcareers-4005142109?position=9&pageNum=2&refId=WpnIQx8xMhx7Je28p0ppWA%3D%3D&trackingId=f04iQoPnRMPRexVRUxpIXw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Jobs via eFinancialCareers,"Geneva, Geneva, Switzerland","For one of our clients in Geneva, we are recruiting a Data Scientist who is open-minded and client-oriented, is passionate about his work, who believes in success and has a strong team spirit. Are you looking for you next challenging position? This opportunity is for you! + +Responsibilities: As a Data Scientist you design, develop and evolve research workflow and fullstack (data science tools). Besides, you develop and maintain engineering best practices (high standards) and you collaborate to translate needs into scalable, standardization solutions. In addition you build tools for conducting statistical analysis over large datasets. You, also design infrastructure to effectively leverage compute cluster. + +Profile: + +PhD or Master in IT or equivalent Experience in processing large and complex datasets Very strong knowledge in coding (Python, Java, C++, SQL) Very good knowledge in Machine learning Very good knowledge in statistics, analysis, testing Efficient in SQL and databases Efficient in Big Data Knowledge in financial data Knowledge in LLM models Very good knowledge in English +Show more ","
    + + + + + +
    +
    + For one of our clients in Geneva, we are recruiting a Data Scientist who is open-minded and client-oriented, is passionate about his work, who believes in success and has a strong team spirit. Are you looking for you next challenging position? This opportunity is for you!

    Responsibilities: As a Data Scientist you design, develop and evolve research workflow and fullstack (data science tools). Besides, you develop and maintain engineering best practices (high standards) and you collaborate to translate needs into scalable, standardization solutions. In addition you build tools for conducting statistical analysis over large datasets. You, also design infrastructure to effectively leverage compute cluster.

    Profile:

    PhD or Master in IT or equivalent Experience in processing large and complex datasets Very strong knowledge in coding (Python, Java, C++, SQL) Very good knowledge in Machine learning Very good knowledge in statistics, analysis, testing Efficient in SQL and databases Efficient in Big Data Knowledge in financial data Knowledge in LLM models Very good knowledge in English +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3988560380,https://ch.linkedin.com/jobs/view/software-engineer-python-m-w-100-%25-at-new-voice-international-3988560380?position=1&pageNum=5&refId=NsbXdhzICSVmEgu0VbxzvA%3D%3D&trackingId=6pHL0WVSLaUJwyKslyYsxA%3D%3D&trk=public_jobs_jserp-result_search-card,Software-Engineer Python (m/w) 100 %,New Voice International,"Zurich, Zurich, Switzerland","MobiCall – weltweit seit 1991 + +New Voice entwickelt führende Lösungen in den Bereichen Alarmierung, Mobilisierung, Sicherheit, Kommunikation und IT. Unterschiedliche Märkte und unterschiedlichste Bedürfnisse fordern uns jeden Tag aufs Neue heraus. Dank eines einzigartigen, modularen und flexiblen Basiskonzepts können wir uns auf die neuen Integrationen konzentrieren: Anbindung an externe Systeme, Mobilisierung über DECT, Wi-Fi, SMS, E-Mail oder 4G-Clients, Sprachaufzeichnung und -analyse, Work-Flow und Lokalisierung bis hin zu TMS und Multi-Line Contact-Center. + +Aufgaben + + +Entwicklung und Pflege von Python-basierten Softwarelösungen zur Unterstützung unserer Unified Event Communication Technology. +Analyse und Umsetzung von Kundenanforderungen in technische Spezifikationen und deren Implementierung. +Mitwirkung bei der Gestaltung und Optimierung von Softwarearchitekturen und -prozessen. +Durchführung von Code-Reviews, Tests und Debugging zur Sicherstellung hoher Softwarequalität. +Zusammenarbeit mit interdisziplinären Teams zur Integration neuer Features und Verbesserung bestehender Systeme. + + + +Qualifikation + + +Gute Kenntnisse in objektorientierter Programmierung (Python) +Erfahrung im Bereich IoT von Vorteil +Teamfähigkeit und der Wille, unsere Kunden und Partner zufriedenzustellen +Freude am kreativen Arbeiten mit dem Ziel, selbsterklärende und einfach zu bedienende Programme für unsere Kunden auf allen Kontinenten zu entwickeln +Interessante Projekte in allen vertikalen Märkten +Vielseitige Anfragen aus der ganzen Welt +Zusammenarbeit in einem motivierten, sympathischen Team +Verkehrsgünstig gelegener Arbeitsort neben dem Hauptbahnhof Zürich +Zeitgemässe Anstellungsbedingungen +Ein junges Team von ca. 20 Mitarbeitern (in Zürich), weitere Geschäftsstellen und Schwesterfirmen in Nyon, Paris, Berlin, Linz, Dubai, Hong Kong, Peking, Australien und den USA +Das persönliche Arbeitsumfeld eines Kleinunternehmens +Show more ","
    + + + + + +
    +
    + MobiCall – weltweit seit 1991

    New Voice entwickelt führende Lösungen in den Bereichen Alarmierung, Mobilisierung, Sicherheit, Kommunikation und IT. Unterschiedliche Märkte und unterschiedlichste Bedürfnisse fordern uns jeden Tag aufs Neue heraus. Dank eines einzigartigen, modularen und flexiblen Basiskonzepts können wir uns auf die neuen Integrationen konzentrieren: Anbindung an externe Systeme, Mobilisierung über DECT, Wi-Fi, SMS, E-Mail oder 4G-Clients, Sprachaufzeichnung und -analyse, Work-Flow und Lokalisierung bis hin zu TMS und Multi-Line Contact-Center.

    Aufgaben

    • Entwicklung und Pflege von Python-basierten Softwarelösungen zur Unterstützung unserer Unified Event Communication Technology.
    • Analyse und Umsetzung von Kundenanforderungen in technische Spezifikationen und deren Implementierung.
    • Mitwirkung bei der Gestaltung und Optimierung von Softwarearchitekturen und -prozessen.
    • Durchführung von Code-Reviews, Tests und Debugging zur Sicherstellung hoher Softwarequalität.
    • Zusammenarbeit mit interdisziplinären Teams zur Integration neuer Features und Verbesserung bestehender Systeme.


    Qualifikation

    • Gute Kenntnisse in objektorientierter Programmierung (Python)
    • Erfahrung im Bereich IoT von Vorteil
    • Teamfähigkeit und der Wille, unsere Kunden und Partner zufriedenzustellen
    • Freude am kreativen Arbeiten mit dem Ziel, selbsterklärende und einfach zu bedienende Programme für unsere Kunden auf allen Kontinenten zu entwickeln
    • Interessante Projekte in allen vertikalen Märkten
    • Vielseitige Anfragen aus der ganzen Welt
    • Zusammenarbeit in einem motivierten, sympathischen Team
    • Verkehrsgünstig gelegener Arbeitsort neben dem Hauptbahnhof Zürich
    • Zeitgemässe Anstellungsbedingungen
    • Ein junges Team von ca. 20 Mitarbeitern (in Zürich), weitere Geschäftsstellen und Schwesterfirmen in Nyon, Paris, Berlin, Linz, Dubai, Hong Kong, Peking, Australien und den USA
    • Das persönliche Arbeitsumfeld eines Kleinunternehmens
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-31,[] +3981326470,https://ch.linkedin.com/jobs/view/machine-learning-engineer-at-epam-systems-3981326470?position=2&pageNum=5&refId=NsbXdhzICSVmEgu0VbxzvA%3D%3D&trackingId=ixg3gHfAERwJ6B2u3258Hg%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,EPAM Systems,"Zurich, Zurich, Switzerland"," +Description + +About The Role + +We are seeking an AI-ML Tech Engineer in Zurich who has a minimum of 8+ years of strong background in machine learning, data science and software engineering. The role requires a mix of remote and on-site work in a hybrid model. + +As a Machine Learning Engineer you will develop and deploy machine learning models, work with large datasets and collaborate with cross-functional teams to solve business problems. + +Responsibilities + + +Build ML (Machine Learning) & NLP (Natural Language Processing) solutions using common ML libraries and frameworks +Choose, improve and apply various methods from statistics, machine and deep learning technologies to solve business problems +Model the data of our users, their interests and online behavior to serve the business demands and enable the future business models +Work closely with our data engineering team and other cross-functional teams to develop prototypes for cross-portfolio use cases and support the deployment of your models or algorithms into the cloud-native production environment +Communicate and visualize the value of data by describing the findings as well as the way how techniques work to both technical and non-technical audiences +Keep closely following research and engineering developments, like TensorFlow, PyTorch, Scikit and Keras +Roll in the relevant technologies and methodologies to keep our modern technology landscape up to date + + + +Requirements + + +8+ years of strong background in machine learning, data science and software engineering +Proficient with Python language and worked on various ML toolkits like TensorFlow, PyTorch, Keras, Scikit Learn +Theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, random forests, neural networks, etc +Strong understanding of cloud computing and cloud AI services +Experience in deploying AI/ML models in production environments +Experience in data analytics, feature creation, model selection and ensemble methods, performance metrics and visualization +Experience working with large datasets and distributed computing systems +Experience in fine-tuning DL models including LLMs, SLMs +Knowledge of large language models from OpenAI such as GPT 3.5, GPT 4, Codex etc +Experience with Vector Stores and RAG pipelines +Proficient with Data-Modelling Tools +Proficient with multiple ML deployment strategies including static and dynamic +Excellent knowledge of CI/CD pipelines for ML algorithms, training, prediction pipelines +Experience in translating ML-based outcomes to business-digestible insights +Excellent communication skills and experience in managing stakeholders at various levels +Fluent English skill is a must, German language skill is a significant advantage + + + +Nice to Have + + +Knowledge of ML Ops like continuous integration, continuous deployment +Knowledge of full stack development +Knowledge of Databricks, Data Mesh +Knowledge of ETL (Extract, Transform, Load) pipeline +Familiarity with agile methodologies, such as Scrum or Kanban and project management tools such as JIRA/GITLAB +Experience with frameworks like Flask/Django +Knowledge of Docker containers + + + +Our Benefits Include + + +EPAM Employee Stock Purchase Plan (ESPP) +Enhanced parental leave +Extended pension plan +Daily sickness allowance insurance +Employee assistance program +Referral program +Hybrid working opportunities +Global business travel medical and accident insurance +Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more +EPAM Switzerland was named a Top Company 2022, 2023 & 2024 by Kununu for its people centric culture built on life-long learning +Certain benefits and perks may be subject to eligibility requirements + + + +About EPAM + + +EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential + + + +Additional + + +Please note that any offers will be subject to appropriate background checks +We do not accept CVs from recruiting or staffing agencies +For this position, we are able to consider applications from the following: + +Swiss nationals +EU/EFTA nationals +Third-country nationals based in Switzerland with an appropriate work permit +Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits + + + +Show more ","
    + + + + + +
    +
    +
    Description

    About The Role

    We are seeking an AI-ML Tech Engineer in Zurich who has a minimum of 8+ years of strong background in machine learning, data science and software engineering. The role requires a mix of remote and on-site work in a hybrid model.

    As a Machine Learning Engineer you will develop and deploy machine learning models, work with large datasets and collaborate with cross-functional teams to solve business problems.

    Responsibilities

    • Build ML (Machine Learning) & NLP (Natural Language Processing) solutions using common ML libraries and frameworks
    • Choose, improve and apply various methods from statistics, machine and deep learning technologies to solve business problems
    • Model the data of our users, their interests and online behavior to serve the business demands and enable the future business models
    • Work closely with our data engineering team and other cross-functional teams to develop prototypes for cross-portfolio use cases and support the deployment of your models or algorithms into the cloud-native production environment
    • Communicate and visualize the value of data by describing the findings as well as the way how techniques work to both technical and non-technical audiences
    • Keep closely following research and engineering developments, like TensorFlow, PyTorch, Scikit and Keras
    • Roll in the relevant technologies and methodologies to keep our modern technology landscape up to date


    Requirements

    • 8+ years of strong background in machine learning, data science and software engineering
    • Proficient with Python language and worked on various ML toolkits like TensorFlow, PyTorch, Keras, Scikit Learn
    • Theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, random forests, neural networks, etc
    • Strong understanding of cloud computing and cloud AI services
    • Experience in deploying AI/ML models in production environments
    • Experience in data analytics, feature creation, model selection and ensemble methods, performance metrics and visualization
    • Experience working with large datasets and distributed computing systems
    • Experience in fine-tuning DL models including LLMs, SLMs
    • Knowledge of large language models from OpenAI such as GPT 3.5, GPT 4, Codex etc
    • Experience with Vector Stores and RAG pipelines
    • Proficient with Data-Modelling Tools
    • Proficient with multiple ML deployment strategies including static and dynamic
    • Excellent knowledge of CI/CD pipelines for ML algorithms, training, prediction pipelines
    • Experience in translating ML-based outcomes to business-digestible insights
    • Excellent communication skills and experience in managing stakeholders at various levels
    • Fluent English skill is a must, German language skill is a significant advantage


    Nice to Have

    • Knowledge of ML Ops like continuous integration, continuous deployment
    • Knowledge of full stack development
    • Knowledge of Databricks, Data Mesh
    • Knowledge of ETL (Extract, Transform, Load) pipeline
    • Familiarity with agile methodologies, such as Scrum or Kanban and project management tools such as JIRA/GITLAB
    • Experience with frameworks like Flask/Django
    • Knowledge of Docker containers


    Our Benefits Include

    • EPAM Employee Stock Purchase Plan (ESPP)
    • Enhanced parental leave
    • Extended pension plan
    • Daily sickness allowance insurance
    • Employee assistance program
    • Referral program
    • Hybrid working opportunities
    • Global business travel medical and accident insurance
    • Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more
    • EPAM Switzerland was named a Top Company 2022, 2023 & 2024 by Kununu for its people centric culture built on life-long learning
    • Certain benefits and perks may be subject to eligibility requirements


    About EPAM

    • EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential


    Additional

    • Please note that any offers will be subject to appropriate background checks
    • We do not accept CVs from recruiting or staffing agencies
    • For this position, we are able to consider applications from the following:
      • Swiss nationals
      • EU/EFTA nationals
      • Third-country nationals based in Switzerland with an appropriate work permit
      • Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits


    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +3990664638,https://ch.linkedin.com/jobs/view/ai-research-scientist-vllm-vision-large-language-models-generative-ai-at-meta-3990664638?position=3&pageNum=5&refId=NsbXdhzICSVmEgu0VbxzvA%3D%3D&trackingId=Ed%2FlnOjBypsbVENyeYdKpg%3D%3D&trk=public_jobs_jserp-result_search-card,"AI Research Scientist, VLLM (vision large language models) - Generative AI",Meta,"Zurich, Zurich, Switzerland","Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models. + +AI Research Scientist, VLLM (vision large language models) - Generative AI Responsibilities: + + +Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research. +Work towards long-term ambitious research goals, while identifying intermediate milestones. +Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. +Work with a large team. +Contribute to publications and open-sourcing efforts. +Mentor other team members. Play a significant role in healthy cross-functional collaboration. +Prioritize research that can be applied to Meta's product development. + + +Minimum Qualifications: + + +A PhD in AI, computer science, or related technical fields, and 7+ years of experiences in AI. +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. +Experience holding an industry, faculty, or government researcher position. +Publications in machine learning, computer vision, NLP, speech. +Experience writing software and executing complex experiments involving large AI models and datasets. +Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. + + +Preferred Qualifications: + + +Direct experience in generative AI and LLM research. +First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). +Fluent in Python and PyTorch (or equivalent). + + +About Meta: + +Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. + +Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +Show more ","
    + + + + + +
    +
    + Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models.

    AI Research Scientist, VLLM (vision large language models) - Generative AI Responsibilities:

    • Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
    • Work towards long-term ambitious research goals, while identifying intermediate milestones.
    • Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
    • Work with a large team.
    • Contribute to publications and open-sourcing efforts.
    • Mentor other team members. Play a significant role in healthy cross-functional collaboration.
    • Prioritize research that can be applied to Meta's product development.

    Minimum Qualifications:

    • A PhD in AI, computer science, or related technical fields, and 7+ years of experiences in AI.
    • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
    • Experience holding an industry, faculty, or government researcher position.
    • Publications in machine learning, computer vision, NLP, speech.
    • Experience writing software and executing complex experiments involving large AI models and datasets.
    • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

    Preferred Qualifications:

    • Direct experience in generative AI and LLM research.
    • First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
    • Fluent in Python and PyTorch (or equivalent).

    About Meta:

    Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

    Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +4000193064,https://ch.linkedin.com/jobs/view/senior-data-scientist-at-world-intellectual-property-organization-%E2%80%93-wipo-4000193064?position=4&pageNum=5&refId=NsbXdhzICSVmEgu0VbxzvA%3D%3D&trackingId=lby0%2BBDmXKiGPbYk%2F414eg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,World Intellectual Property Organization – WIPO,"Geneva, Switzerland","Information and Communication Technology Department, Administration, Finance and Management Sector + +Contract Duration - 2 years (maximum cumulative length of 5 years) * + +Duty Station: CH-Geneva + +Application Deadline: 10-Sep-2024 + + + + + + + + + + +This post is a limited-term fixed-term post. + + + + + + + +1. Organizational Context + + + + + + + +a. Organizational Setting + + + + +The post is in the Information and Communication Technology Department (ICTD) of Administration, Finance and Management Sector. + + + + +The Information and Communication Technology Department (ICTD) is responsible for the digital, data, and technology transformation of the Organization, with a focus on service quality, efficiency, security, and sustainability. To support the achievement of WIPO's vision, the Department is leading the development and execution of the Organization's Infotech strategy, which aims at enabling our internal and external customers' success through Infotech excellence. + + + + +The Department provides its customers with shared Infotech services such as program & project management, enterprise architecture, data management, digital workplace, solution hosting, and software development & maintenance of various critical systems, including Enterprise Solutions, Hague, Madrid, Patent Cooperation Treaty (PCT) Information Systems. + + + + +b. Purpose Statement + + + + +The main role of Senior Data Scientist is to analyze and interpret complex datasets by using state-of-the-art data science techniques. Collaborating closely with the central data team the incumbent performs descriptive and predictive analysis which can contribute to value added usage of data such as meaningful visualizations and reports that reveal trends, patterns, and opportunities, thereby informing and propelling key business initiatives in WIPO. + + + + +c. Reporting Lines + + + + +The incumbent works under the supervision of the Chief Data Officer (CDO). + + + + +d. Work Relations + + + + +The incumbent liaises with relevant internal business and technical stakeholders across the Organization and works as well with external stakeholders such as onsite or remote consultants. + + + + + + + +2. Duties and Responsibilities + + + + +The incumbent will perform the following principal duties: + + + + +a. Lead the Development of business reports, visualization tools, and data analytics solutions to facilitate actionable insights and support the strategic business objectives across various functions. + + + + +b. Systematically study, explore and evaluate new and existing data sources and analytical systems to determine their effectiveness and accuracy and recommend necessary improvement to ensure data integrity and reliability. + + + + +c. Design and build predictive data science systems and products, such as visualizations, models, AI/ML algorithms for initial simulations or prototypes and subsequent ingestion into mainstream software application. + + + + +d. Develop data products, tools, and processes to periodically validate the effectiveness of data science products and their expected and observed benefits. Conduct impact assessment against pre-defined KPIs and evaluate user feedback to continuously improve the products. + + + + +e. Perform an advocacy and advisory role with stakeholders, and IT teams to assess infrastructure, software and services needed to develop and deploy data science products. + + + + +f. Lead the promotion of data science solutions by showcasing the products to business stakeholders. Champion literacy within different lines of business to create self-service analytics capabilities. + + + + +g. Develop guidelines, standard operating procedures, and best practices to support the data science processes, tools, and enterprise architecture across the organization. + + + + +h. Perform additional related duties as required, including active participation in divisional activities, demonstrating flexibility and a collaborative approach to team projects and initiatives. + + + + + + + +3. Requirements + + + + +Education (Essential) + +Advanced university degree in Statistics, Mathematics, Economics, Computer Science, Information Management or a related field. A first-level university degree plus two years of relevant experience in addition to the experience requested below may be acceptable in lieu of an advanced university degree. + + + + +Experience (Essential) + +At least seven years of professional experience in the field of applied analytics, business intelligence, information management, statistics. + + + + +Experience in designing and deploying solutions that apply data science-oriented methodologies such as time series methods, econometric methods, machine learning algorithms, etc. + + + + +Experience in working in one or more data science languages like R, Python, SPARK, MATLAB, etc. + + + + +Experience in data visualizing tools like Tableau, Power BI, etc.. + + + + +Language (Essential) + +Excellent written and spoken knowledge of English. + + + + +Job Related Competencies (Essential) + +Sound understanding of several of the following disciplines: Predictive Analytics, Data Mining, Machine Learning, Text Analytics, Algorithm Designs, Statistical Modelling. + + + + +Excellent analytical and organizational skills, with a proven ability to manage projects effectively. + + + + +Adept at adapting to rapidly changing and disruptive environments. Maintain productive relationships with stakeholders in a multicultural setting with sensitivity and respect for diversity. + + + + +Job Related Competencies (Desirable) + +Integrity in dealing with confidential and sensitive data. + + + + +Critical thinking and creativity skills. + + + + +Excellent time management and work organization skills. + + + + + + + +4. Organizational Competencies + + + + +1. Communicating effectively. + +2. Showing team spirit. + +3. Demonstrating integrity. + +4. Valuing diversity. + +5. Producing results. + +6. Showing service orientation. + +7. Seeing the big picture. + +8. Seeking change and innovation. + +9. Developing yourself and others. + + + + +For more information including on the salaries and benefits please check the WIPO Careers website. + +Show more ","
    + + + + + +
    +
    +

    Information and Communication Technology Department, Administration, Finance and Management Sector

    Contract Duration - 2 years (maximum cumulative length of 5 years) *

    Duty Station: CH-Geneva

    Application Deadline: 10-Sep-2024




    This post is a limited-term fixed-term post.



    1. Organizational Context



    a. Organizational Setting


    The post is in the Information and Communication Technology Department (ICTD) of Administration, Finance and Management Sector.


    The Information and Communication Technology Department (ICTD) is responsible for the digital, data, and technology transformation of the Organization, with a focus on service quality, efficiency, security, and sustainability. To support the achievement of WIPO's vision, the Department is leading the development and execution of the Organization's Infotech strategy, which aims at enabling our internal and external customers' success through Infotech excellence.


    The Department provides its customers with shared Infotech services such as program & project management, enterprise architecture, data management, digital workplace, solution hosting, and software development & maintenance of various critical systems, including Enterprise Solutions, Hague, Madrid, Patent Cooperation Treaty (PCT) Information Systems.


    b. Purpose Statement


    The main role of Senior Data Scientist is to analyze and interpret complex datasets by using state-of-the-art data science techniques. Collaborating closely with the central data team the incumbent performs descriptive and predictive analysis which can contribute to value added usage of data such as meaningful visualizations and reports that reveal trends, patterns, and opportunities, thereby informing and propelling key business initiatives in WIPO.


    c. Reporting Lines


    The incumbent works under the supervision of the Chief Data Officer (CDO).


    d. Work Relations


    The incumbent liaises with relevant internal business and technical stakeholders across the Organization and works as well with external stakeholders such as onsite or remote consultants.



    2. Duties and Responsibilities


    The incumbent will perform the following principal duties:


    a. Lead the Development of business reports, visualization tools, and data analytics solutions to facilitate actionable insights and support the strategic business objectives across various functions.


    b. Systematically study, explore and evaluate new and existing data sources and analytical systems to determine their effectiveness and accuracy and recommend necessary improvement to ensure data integrity and reliability.


    c. Design and build predictive data science systems and products, such as visualizations, models, AI/ML algorithms for initial simulations or prototypes and subsequent ingestion into mainstream software application.


    d. Develop data products, tools, and processes to periodically validate the effectiveness of data science products and their expected and observed benefits. Conduct impact assessment against pre-defined KPIs and evaluate user feedback to continuously improve the products.


    e. Perform an advocacy and advisory role with stakeholders, and IT teams to assess infrastructure, software and services needed to develop and deploy data science products.


    f. Lead the promotion of data science solutions by showcasing the products to business stakeholders. Champion literacy within different lines of business to create self-service analytics capabilities.


    g. Develop guidelines, standard operating procedures, and best practices to support the data science processes, tools, and enterprise architecture across the organization.


    h. Perform additional related duties as required, including active participation in divisional activities, demonstrating flexibility and a collaborative approach to team projects and initiatives.



    3. Requirements


    Education (Essential)

    Advanced university degree in Statistics, Mathematics, Economics, Computer Science, Information Management or a related field. A first-level university degree plus two years of relevant experience in addition to the experience requested below may be acceptable in lieu of an advanced university degree.


    Experience (Essential)

    At least seven years of professional experience in the field of applied analytics, business intelligence, information management, statistics.


    Experience in designing and deploying solutions that apply data science-oriented methodologies such as time series methods, econometric methods, machine learning algorithms, etc.


    Experience in working in one or more data science languages like R, Python, SPARK, MATLAB, etc.


    Experience in data visualizing tools like Tableau, Power BI, etc..


    Language (Essential)

    Excellent written and spoken knowledge of English.


    Job Related Competencies (Essential)

    Sound understanding of several of the following disciplines: Predictive Analytics, Data Mining, Machine Learning, Text Analytics, Algorithm Designs, Statistical Modelling.


    Excellent analytical and organizational skills, with a proven ability to manage projects effectively.


    Adept at adapting to rapidly changing and disruptive environments. Maintain productive relationships with stakeholders in a multicultural setting with sensitivity and respect for diversity.


    Job Related Competencies (Desirable)

    Integrity in dealing with confidential and sensitive data.


    Critical thinking and creativity skills.


    Excellent time management and work organization skills.



    4. Organizational Competencies


    1. Communicating effectively.

    2. Showing team spirit.

    3. Demonstrating integrity.

    4. Valuing diversity.

    5. Producing results.

    6. Showing service orientation.

    7. Seeing the big picture.

    8. Seeking change and innovation.

    9. Developing yourself and others.


    For more information including on the salaries and benefits please check the WIPO Careers website.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +4005142109,https://ch.linkedin.com/jobs/view/data-scientist-at-jobs-via-efinancialcareers-4005142109?position=5&pageNum=5&refId=NsbXdhzICSVmEgu0VbxzvA%3D%3D&trackingId=OKtiNMqfwUSCnqXr1YTsqA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Jobs via eFinancialCareers,"Geneva, Geneva, Switzerland","For one of our clients in Geneva, we are recruiting a Data Scientist who is open-minded and client-oriented, is passionate about his work, who believes in success and has a strong team spirit. Are you looking for you next challenging position? This opportunity is for you! + +Responsibilities: As a Data Scientist you design, develop and evolve research workflow and fullstack (data science tools). Besides, you develop and maintain engineering best practices (high standards) and you collaborate to translate needs into scalable, standardization solutions. In addition you build tools for conducting statistical analysis over large datasets. You, also design infrastructure to effectively leverage compute cluster. + +Profile: + +PhD or Master in IT or equivalent Experience in processing large and complex datasets Very strong knowledge in coding (Python, Java, C++, SQL) Very good knowledge in Machine learning Very good knowledge in statistics, analysis, testing Efficient in SQL and databases Efficient in Big Data Knowledge in financial data Knowledge in LLM models Very good knowledge in English +Show more ","
    + + + + + +
    +
    + For one of our clients in Geneva, we are recruiting a Data Scientist who is open-minded and client-oriented, is passionate about his work, who believes in success and has a strong team spirit. Are you looking for you next challenging position? This opportunity is for you!

    Responsibilities: As a Data Scientist you design, develop and evolve research workflow and fullstack (data science tools). Besides, you develop and maintain engineering best practices (high standards) and you collaborate to translate needs into scalable, standardization solutions. In addition you build tools for conducting statistical analysis over large datasets. You, also design infrastructure to effectively leverage compute cluster.

    Profile:

    PhD or Master in IT or equivalent Experience in processing large and complex datasets Very strong knowledge in coding (Python, Java, C++, SQL) Very good knowledge in Machine learning Very good knowledge in statistics, analysis, testing Efficient in SQL and databases Efficient in Big Data Knowledge in financial data Knowledge in LLM models Very good knowledge in English +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4007101187,https://ch.linkedin.com/jobs/view/clinical-trial-physician-hematology-at-bristol-myers-squibb-4007101187?position=6&pageNum=5&refId=NsbXdhzICSVmEgu0VbxzvA%3D%3D&trackingId=3Na9No6YlM2saZlLpD9zIA%3D%3D&trk=public_jobs_jserp-result_search-card,"Clinical Trial Physician, Hematology",Bristol Myers Squibb,"Boudry, Neuchâtel, Switzerland","Working with Us + +Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible. + +Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us . + +Functional Area Description + +The Clinical Trial Physician sits within Clinical Development, which is a global organization dedicated to the effective design and execution of drug development. Clinical Development drives clinical development strategy, design, execution, and interpretation of clinical trials. + +Position Summary/Objective + + +Serves as a primary source of medical accountability and oversight for clinical trials +Matrix management responsibilities across the internal and external network +Manages Phase 1 - Phase 3 studies, with demonstrated decision making capabilities +Provides medical and scientific expertise to cross-functional BMS colleagues + + +Key Responsibilities + +Medical Monitoring + + +Contributes to and is a key member of a high performing Study Delivery Team (SDT) and may be a member of the Clinical Development Team (CDT) +Conducts medical data review of trial data, including eligibility review +Holds responsibility for site interactions in partnership with the Clinical Scientist (CS) for medical questions and education (including safety management guidelines) +Holds responsibility for assessment of key safety-related serious adverse events in partnership with Worldwide Patient Safety and oversees safety narratives +Collaborates with CS and inputs into protocols, providing medical strategic oversight in protocol development (input on inclusion/exclusion and other safety-related clinical considerations) +Fulfills GCP and compliance obligations for clinical conduct and maintains all required training + + +Clinical Development Expertise & Strategy + + +In collaboration with the Clinical Development Program Lead, designs and develops clinical plans and protocols with a strong strategic focus based on knowledge of asset/drug, disease area and relevant science in order to meet regulatory and disease strategy targets +Provides oversight and medical accountability for a group of studies +Leads the analysis of benefit/risk for clinical development protocols in a matrix team environment working with Clinical Scientists +Partners with CS to support executional delivery of studies (e.g., site activation, enrollment status, as well as adjudication for protocol violations, significant, non-significant deviations etc.) +Identifies and builds relationships with principal investigators. Identifies and cultivates thought leaders in order to gain their inputs on emerging science in drug and biomarker research, disease knowledge, and design of clinical development studies and programs +Maintains a strong medical/scientific reputation within the disease area. Has in-depth knowledge of etiology, natural history, diagnosis, and treatment of the disorder. Keeps up-to-date in the disease area by attending scientific conferences and ongoing review of the literature +Keeps abreast of development and regulatory issues related to other competitive or relevant compounds in development and how our portfolio fits into the competitive landscape +Provides ongoing medical education in partnership with CS to allow for protocol-specific training, supporting the study team, investigators, and others + + +Health Authority Interactions & Publications + + +Contributes to key Health Authority interactions and advisory board meetings as Clinical Trial Physician +Authors/drafts clinical content for CSRs, regulatory reports, briefing books and submission documents to support closure, clinical narratives, reporting and filling of the study in partnership with Clinical Scientists + + +Degree Requirements + + +MD required (or x-US equivalent) + + +Experience Requirements + + +3 or more years of Industry experience and/or clinical trials experience is required +Candidates with less industry experience will be considered if they demonstrate disease area expertise + + +Key Competency Requirements + + +Ability to communicate and present information clearly in scientific and clinical settings +Subspecialty training in applicable therapeutic area desired +Expertise in the scientific method to test hypotheses, including statistical design, analysis, and interpretation +Knowledge of drug development process +Knowledge of the components needed to execute an effective clinical plan and protocols +Strong leadership skills with proven ability to lead and work effectively in a team environment + + +Travel Required + +Domestic and International travel may be required. + +If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. + +Uniquely Interesting Work, Life-changing Careers + +With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. + +On-site Protocol + +BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role + +Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. + +BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. + +BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. + +BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. + +Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. +Show more ","
    + + + + + +
    +
    + Working with Us

    Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

    Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us .

    Functional Area Description

    The Clinical Trial Physician sits within Clinical Development, which is a global organization dedicated to the effective design and execution of drug development. Clinical Development drives clinical development strategy, design, execution, and interpretation of clinical trials.

    Position Summary/Objective

    • Serves as a primary source of medical accountability and oversight for clinical trials
    • Matrix management responsibilities across the internal and external network
    • Manages Phase 1 - Phase 3 studies, with demonstrated decision making capabilities
    • Provides medical and scientific expertise to cross-functional BMS colleagues

    Key Responsibilities

    Medical Monitoring

    • Contributes to and is a key member of a high performing Study Delivery Team (SDT) and may be a member of the Clinical Development Team (CDT)
    • Conducts medical data review of trial data, including eligibility review
    • Holds responsibility for site interactions in partnership with the Clinical Scientist (CS) for medical questions and education (including safety management guidelines)
    • Holds responsibility for assessment of key safety-related serious adverse events in partnership with Worldwide Patient Safety and oversees safety narratives
    • Collaborates with CS and inputs into protocols, providing medical strategic oversight in protocol development (input on inclusion/exclusion and other safety-related clinical considerations)
    • Fulfills GCP and compliance obligations for clinical conduct and maintains all required training

    Clinical Development Expertise & Strategy

    • In collaboration with the Clinical Development Program Lead, designs and develops clinical plans and protocols with a strong strategic focus based on knowledge of asset/drug, disease area and relevant science in order to meet regulatory and disease strategy targets
    • Provides oversight and medical accountability for a group of studies
    • Leads the analysis of benefit/risk for clinical development protocols in a matrix team environment working with Clinical Scientists
    • Partners with CS to support executional delivery of studies (e.g., site activation, enrollment status, as well as adjudication for protocol violations, significant, non-significant deviations etc.)
    • Identifies and builds relationships with principal investigators. Identifies and cultivates thought leaders in order to gain their inputs on emerging science in drug and biomarker research, disease knowledge, and design of clinical development studies and programs
    • Maintains a strong medical/scientific reputation within the disease area. Has in-depth knowledge of etiology, natural history, diagnosis, and treatment of the disorder. Keeps up-to-date in the disease area by attending scientific conferences and ongoing review of the literature
    • Keeps abreast of development and regulatory issues related to other competitive or relevant compounds in development and how our portfolio fits into the competitive landscape
    • Provides ongoing medical education in partnership with CS to allow for protocol-specific training, supporting the study team, investigators, and others

    Health Authority Interactions & Publications

    • Contributes to key Health Authority interactions and advisory board meetings as Clinical Trial Physician
    • Authors/drafts clinical content for CSRs, regulatory reports, briefing books and submission documents to support closure, clinical narratives, reporting and filling of the study in partnership with Clinical Scientists

    Degree Requirements

    • MD required (or x-US equivalent)

    Experience Requirements

    • 3 or more years of Industry experience and/or clinical trials experience is required
    • Candidates with less industry experience will be considered if they demonstrate disease area expertise

    Key Competency Requirements

    • Ability to communicate and present information clearly in scientific and clinical settings
    • Subspecialty training in applicable therapeutic area desired
    • Expertise in the scientific method to test hypotheses, including statistical design, analysis, and interpretation
    • Knowledge of drug development process
    • Knowledge of the components needed to execute an effective clinical plan and protocols
    • Strong leadership skills with proven ability to lead and work effectively in a team environment

    Travel Required

    Domestic and International travel may be required.

    If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

    Uniquely Interesting Work, Life-changing Careers

    With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

    On-site Protocol

    BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role

    Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

    BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.

    BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

    BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

    Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4000336917,https://ch.linkedin.com/jobs/view/learning-engineer-at-ve-bildungsexzellenz-4000336917?position=7&pageNum=5&refId=NsbXdhzICSVmEgu0VbxzvA%3D%3D&trackingId=MzCV30xO%2FsfhsufiZccC8A%3D%3D&trk=public_jobs_jserp-result_search-card,Learning Engineer,vE Bildungsexzellenz,"Lucerne, Lucerne, Switzerland","vE Bildungsexzellenz ist ein führendes Unternehmen im Bereich der digitalen Bildungslösungen. Wir sind bestrebt, innovative Lernmethoden zu entwickeln und umzusetzen, um Bildungsziele effektiv zu erreichen. Unser Team arbeitet mit der Plattform Area9 zusammen, um massgeschneiderte und adaptive Lerninhalte bereitzustellen. + + + + +Deine Aufgaben: + +Entwicklung und Implementierung von adaptiven Lerninhalten auf der Plattform Area9. +Analyse von Lerndaten und Optimierung der Inhalte basierend auf den Ergebnissen. +Zusammenarbeit mit Fachexperten, um qualitativ hochwertige Lernmodule zu erstellen. +Unterstützung bei der Integration neuer Technologien und Methoden in den Lernprozess. +Qualitätssicherung und kontinuierliche Verbesserung der Lerninhalte. + + + + +Dein Profil: + +Erfahrung im Bereich E-Learning und mit Lernmanagementsystemen +Erfahrung mit Area9 ist natürlich super, aber wird nicht vorausgesetzt. +Ausgeprägte analytische Fähigkeiten und Erfahrung in der Arbeit mit Lerndaten. +Kreativität und Innovationsgeist bei der Gestaltung von Lerninhalten. +Hervorragende Kommunikationsfähigkeiten und die Fähigkeit zur Zusammenarbeit im Team. +Strukturierte und selbstständige Arbeitsweise. + + + + +Wir bieten: + +Eine dynamische und innovative Arbeitsumgebung. +Möglichkeiten zur persönlichen und beruflichen Weiterbildung. +Flexible Arbeitszeiten und die Möglichkeit zum Homeoffice. +Eine attraktive Vergütung und Zusatzleistungen. +Pensum ab 40% möglich + + + + +Bist du bereit, unser Team mit deinem Engagement zu unterstützen? Dann freuen wir uns auf deine Bewerbung! + +Show more ","
    + + + + + +
    +
    +

    vE Bildungsexzellenz ist ein führendes Unternehmen im Bereich der digitalen Bildungslösungen. Wir sind bestrebt, innovative Lernmethoden zu entwickeln und umzusetzen, um Bildungsziele effektiv zu erreichen. Unser Team arbeitet mit der Plattform Area9 zusammen, um massgeschneiderte und adaptive Lerninhalte bereitzustellen.


    Deine Aufgaben:

    • Entwicklung und Implementierung von adaptiven Lerninhalten auf der Plattform Area9.
    • Analyse von Lerndaten und Optimierung der Inhalte basierend auf den Ergebnissen.
    • Zusammenarbeit mit Fachexperten, um qualitativ hochwertige Lernmodule zu erstellen.
    • Unterstützung bei der Integration neuer Technologien und Methoden in den Lernprozess.
    • Qualitätssicherung und kontinuierliche Verbesserung der Lerninhalte.


    Dein Profil:

    • Erfahrung im Bereich E-Learning und mit Lernmanagementsystemen
    • Erfahrung mit Area9 ist natürlich super, aber wird nicht vorausgesetzt.
    • Ausgeprägte analytische Fähigkeiten und Erfahrung in der Arbeit mit Lerndaten.
    • Kreativität und Innovationsgeist bei der Gestaltung von Lerninhalten.
    • Hervorragende Kommunikationsfähigkeiten und die Fähigkeit zur Zusammenarbeit im Team.
    • Strukturierte und selbstständige Arbeitsweise.


    Wir bieten:

    • Eine dynamische und innovative Arbeitsumgebung.
    • Möglichkeiten zur persönlichen und beruflichen Weiterbildung.
    • Flexible Arbeitszeiten und die Möglichkeit zum Homeoffice.
    • Eine attraktive Vergütung und Zusatzleistungen.
    • Pensum ab 40% möglich


    Bist du bereit, unser Team mit deinem Engagement zu unterstützen? Dann freuen wir uns auf deine Bewerbung!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-13,[] +4002806693,https://ch.linkedin.com/jobs/view/senior-machine-learning-engineer-at-novartis-4002806693?position=8&pageNum=5&refId=NsbXdhzICSVmEgu0VbxzvA%3D%3D&trackingId=v8PomW%2F%2FvkLP2rztSm6tAw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Machine Learning Engineer,Novartis,"Basel, Switzerland","Summary + +The ML Engineer bridges the gap between the roles of a data scientist, software engineer and DevOps, ensuring the smooth and efficient development and deployment of machine learning models at scale. The role focuses on the operational aspects of machine learning covering model development, training, testing, deployment, monitoring and maintenance. + +About The Role + +Major Accountabilities: + + +Design and implement infrastructure required for deploying machine learning models. This includes setting up cloud or HPC resources, containerization and automation tools for seamless deployment and scaling of models. +Implementing CI/CD pipelines to automate the testing, versioning, training and deployment of machine learning models. This ensures that models are consistently and reliably deployed without manual intervention. +Establishing monitoring to track the performance and health of deployed machine learning models. This involves setting up alerts for model failures, monitoring data drift, and conducting regular performance evaluations to optimize model accuracy and efficiency. +Support the delivery of high-quality data for training and testing machine learning models, applying automated pipelines where appropriate. This includes data preprocessing and versioning to maintain consistency and provenance. +Working closely with cross-functional teams, including data scientists, engineers, vendors / 3rd party providers, product managers and stakeholders, to understand requirements, provide technical guidance, and communicate progress and outcomes. +Contribute to evolving the MLOps strategy with the wider community. +Conduct POC’s with new technologies and platforms as need arises, guided by product and data science community. +Ensure adherence to Novartis global Information Security and Quality standards and policies for all products/services. +If applicable, ensure Regulatory Compliance (e.g. GLP & GCP) standards and policies for GxP products/services. + + +Experience Requirements (Core Skills And Capabilities) + + +Independent self-starter who takes pride in their work and has a passion for science and engineering and a sharp analytical and problem-solving abilities. Has a strong sense of ownership, urgency, and drive. +Strong written and verbal communications skills +Experience with Python, R, Bash +Experience with pytorch, tensorflow or jax +Experience with CI/CD pipelines +Experience with Container technologies +Experience with MLflow +Experience with AWS including Sagemaker, batch, Fargate, Parallel Cluster, RDS, S3 +Experience with HPC, Slurm or other job schedulers / workload manager +Experience with Linux +Experience with RDBMS and SQL + + +Additional Requirements + + +BS/MS in Computer Science, or commensurate experience +Fluent in English + + +Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture + +Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture + +Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network + +Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture + +Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network + +Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture + +Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network +Show more ","
    + + + + + +
    +
    + Summary

    The ML Engineer bridges the gap between the roles of a data scientist, software engineer and DevOps, ensuring the smooth and efficient development and deployment of machine learning models at scale. The role focuses on the operational aspects of machine learning covering model development, training, testing, deployment, monitoring and maintenance.

    About The Role

    Major Accountabilities:

    • Design and implement infrastructure required for deploying machine learning models. This includes setting up cloud or HPC resources, containerization and automation tools for seamless deployment and scaling of models.
    • Implementing CI/CD pipelines to automate the testing, versioning, training and deployment of machine learning models. This ensures that models are consistently and reliably deployed without manual intervention.
    • Establishing monitoring to track the performance and health of deployed machine learning models. This involves setting up alerts for model failures, monitoring data drift, and conducting regular performance evaluations to optimize model accuracy and efficiency.
    • Support the delivery of high-quality data for training and testing machine learning models, applying automated pipelines where appropriate. This includes data preprocessing and versioning to maintain consistency and provenance.
    • Working closely with cross-functional teams, including data scientists, engineers, vendors / 3rd party providers, product managers and stakeholders, to understand requirements, provide technical guidance, and communicate progress and outcomes.
    • Contribute to evolving the MLOps strategy with the wider community.
    • Conduct POC’s with new technologies and platforms as need arises, guided by product and data science community.
    • Ensure adherence to Novartis global Information Security and Quality standards and policies for all products/services.
    • If applicable, ensure Regulatory Compliance (e.g. GLP & GCP) standards and policies for GxP products/services.

    Experience Requirements (Core Skills And Capabilities)

    • Independent self-starter who takes pride in their work and has a passion for science and engineering and a sharp analytical and problem-solving abilities. Has a strong sense of ownership, urgency, and drive.
    • Strong written and verbal communications skills
    • Experience with Python, R, Bash
    • Experience with pytorch, tensorflow or jax
    • Experience with CI/CD pipelines
    • Experience with Container technologies
    • Experience with MLflow
    • Experience with AWS including Sagemaker, batch, Fargate, Parallel Cluster, RDS, S3
    • Experience with HPC, Slurm or other job schedulers / workload manager
    • Experience with Linux
    • Experience with RDBMS and SQL

    Additional Requirements

    • BS/MS in Computer Science, or commensurate experience
    • Fluent in English

    Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture

    Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

    Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network

    Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

    Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network

    Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

    Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3999296552,https://ch.linkedin.com/jobs/view/senior-research-associate-scientist-%E2%80%93-selection-screening-f-m-d-80-100%25-at-athebio-ag-3999296552?position=9&pageNum=5&refId=NsbXdhzICSVmEgu0VbxzvA%3D%3D&trackingId=3mZJH9eGO9579oTiLI%2FEPw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Research Associate / Scientist – Selection & Screening (f/m/d) 80-100%,Athebio AG,"Zurich, Switzerland","🌟 Join Our Innovative Biotech Startup: Athebio 🌟 + +Founded in late 2019, Athebio is a highly innovative biotech startup on a mission to revolutionize the field of biotherapeutics. We specialize in developing advanced biotherapeutics for pharma partners based on Designed Ankyrin Repeat Proteins (DARPins). Our cutting-edge research and commitment to innovation and excellence drive us forward as we create next-generation targeted drug candidates. + + + + +🔬 Why Work with Us? + +Growth Opportunity: + +Are you ready to grow with us? At Athebio, you won’t just be an employee; you’ll be an active participant in shaping our company’s future. + +Passion for Innovation: + +We’re seeking individuals who share our passion for innovation. If you’re excited about pushing boundaries and creating ground-breaking solutions, we want to hear from you! + +Molecular Biology Experts Welcome: + +If you have a profound understanding of molecular biology and hands-on experience in selection and screening, we’d love to have you on our team. + +🏢 Our Location + +Join us at our state-of-the-art facility located in the Bio–Technopark in Schlieren, Zurich. As part of our R&D team, you’ll contribute to advancing our binding platform through innovation and research process optimization and play a crucial role in providing Athebody® DARPins to our partners. + +Ready to make a difference? Apply now and be part of the Athebio journey! 🚀 + + + + +Responsibilities + +Discovery: You’ll run discovery campaigns to deliver high-quality therapeutic lead candidates to our partners using ribosome display. Enhance Selection & Screening related processes, bringing fresh ideas and improvements to the table and independently solve challenges and establish new methods or optimizations. +Innovate with Athebody®: Contribute to innovations that propel our Athebody® Selection & Screening platform forward, pushing the boundaries of what’s possible. +Data Mastery: Analyze, interpret, and summarize data. Then, present your findings to the team, including management. +Knowledge Expansion: Continuously expand your scientific and technical expertise. +Scientific Excellence: Maintain rigorous standards in your experiments, striving for scientific excellence. +Lab Equipment Care: Ensure the smooth operation and maintenance of our laboratory equipment. + + + + +Qualifications + +MSc in a field of Life Sciences, e.g., (molecular/chemical) biology, biochemistry, or similar +Minimum 5 years of relevant professional experience +Strong experience in selection, screening of immunoglobulins (or other binding proteins), and protein expression (experience with RNA/ribosome display is a plus) +Dedication to hands-on work in the lab is crucial +Affinity to precise and clean working. This is a prerequisite for doing successful ribosome display selections. +Ability to independently and proactively design experiments to verify or falsify hypotheses. +Timely, independent, and exact working style in the planning and conduct of experiments and accurate documentation thereof +Critical thinking and problem-solving attitude +Openness to learn new methods, e.g. analytical SEC/HPLC – Circular Dichroism Spectroscopy (CD) and Surface Plasmon Resonance (SPR) +Team player with proactive communication +Ability to adapt to changing priorities in a fast-paced entrepreneurial environment + + + + +Familiarity with state-of-the-art IT and communication tools, electronic lab journals, and profound knowledge of Microsoft Office – advanced skills in Excel would be a plus. Good written and verbal communication skills in English – German would be a plus. + + + + +What we offer + +An exciting opportunity to take responsibility and grow both professionally and personally within an early-stage biotech startup. +Space to actively contribute and impact the development of the company. +Chance to learn from world-leading experts in the DARPin technology. +Multifaceted activity within a collaborative environment. +Joint team activities, such as sports, game nights, excursions, and many more. + + + + +About Athebio + +We explore and unlock the full therapeutic potential of repeat proteins and make it broadly available. Our mission is to help innovative drug developers create next-generation biologics by providing tailor-made repeat proteins and supporting them with in-depth expertise and superb service. By bringing the design and selection of repeat proteins to perfection, we strive to establish them as state-of-the-art binding proteins and revolutionize the way drug discovery is made today through co-creative innovation. + +We are driven by curiosity, creativity, and a passion for innovation. Focused on our customers’ success and the constant improvement of our technology, we strive for excellence in everything we do. We embrace the diversity of our team and are committed to building an inspiring, empowering, and caring environment that fosters personal responsibility, development, and growth. As part of nature and society, we act ethically and strive to create a positive impact in the world. + + + + +Workplace type: On-site (Zurich-Schlieren) + +Starting date: Flexible + + + + +Are you interested? Awesome! Drop us an e-mail with your CV and motivational letter to talent@athebio.com (Applications without a motivational letter will not be considered.) + +Show more ","
    + + + + + +
    +
    +

    🌟 Join Our Innovative Biotech Startup: Athebio 🌟

    Founded in late 2019, Athebio is a highly innovative biotech startup on a mission to revolutionize the field of biotherapeutics. We specialize in developing advanced biotherapeutics for pharma partners based on Designed Ankyrin Repeat Proteins (DARPins). Our cutting-edge research and commitment to innovation and excellence drive us forward as we create next-generation targeted drug candidates.


    🔬 Why Work with Us?

    Growth Opportunity:

    Are you ready to grow with us? At Athebio, you won’t just be an employee; you’ll be an active participant in shaping our company’s future.

    Passion for Innovation:

    We’re seeking individuals who share our passion for innovation. If you’re excited about pushing boundaries and creating ground-breaking solutions, we want to hear from you!

    Molecular Biology Experts Welcome:

    If you have a profound understanding of molecular biology and hands-on experience in selection and screening, we’d love to have you on our team.

    🏢 Our Location

    Join us at our state-of-the-art facility located in the Bio–Technopark in Schlieren, Zurich. As part of our R&D team, you’ll contribute to advancing our binding platform through innovation and research process optimization and play a crucial role in providing Athebody® DARPins to our partners.

    Ready to make a difference? Apply now and be part of the Athebio journey! 🚀


    Responsibilities

    • Discovery: You’ll run discovery campaigns to deliver high-quality therapeutic lead candidates to our partners using ribosome display. Enhance Selection & Screening related processes, bringing fresh ideas and improvements to the table and independently solve challenges and establish new methods or optimizations.
    • Innovate with Athebody®: Contribute to innovations that propel our Athebody® Selection & Screening platform forward, pushing the boundaries of what’s possible.
    • Data Mastery: Analyze, interpret, and summarize data. Then, present your findings to the team, including management.
    • Knowledge Expansion: Continuously expand your scientific and technical expertise.
    • Scientific Excellence: Maintain rigorous standards in your experiments, striving for scientific excellence.
    • Lab Equipment Care: Ensure the smooth operation and maintenance of our laboratory equipment.


    Qualifications

    • MSc in a field of Life Sciences, e.g., (molecular/chemical) biology, biochemistry, or similar
    • Minimum 5 years of relevant professional experience
    • Strong experience in selection, screening of immunoglobulins (or other binding proteins), and protein expression (experience with RNA/ribosome display is a plus)
    • Dedication to hands-on work in the lab is crucial
    • Affinity to precise and clean working. This is a prerequisite for doing successful ribosome display selections.
    • Ability to independently and proactively design experiments to verify or falsify hypotheses.
    • Timely, independent, and exact working style in the planning and conduct of experiments and accurate documentation thereof
    • Critical thinking and problem-solving attitude
    • Openness to learn new methods, e.g. analytical SEC/HPLC – Circular Dichroism Spectroscopy (CD) and Surface Plasmon Resonance (SPR)
    • Team player with proactive communication
    • Ability to adapt to changing priorities in a fast-paced entrepreneurial environment


    Familiarity with state-of-the-art IT and communication tools, electronic lab journals, and profound knowledge of Microsoft Office – advanced skills in Excel would be a plus. Good written and verbal communication skills in English – German would be a plus.


    What we offer

    • An exciting opportunity to take responsibility and grow both professionally and personally within an early-stage biotech startup.
    • Space to actively contribute and impact the development of the company.
    • Chance to learn from world-leading experts in the DARPin technology.
    • Multifaceted activity within a collaborative environment.
    • Joint team activities, such as sports, game nights, excursions, and many more.


    About Athebio

    We explore and unlock the full therapeutic potential of repeat proteins and make it broadly available. Our mission is to help innovative drug developers create next-generation biologics by providing tailor-made repeat proteins and supporting them with in-depth expertise and superb service. By bringing the design and selection of repeat proteins to perfection, we strive to establish them as state-of-the-art binding proteins and revolutionize the way drug discovery is made today through co-creative innovation.

    We are driven by curiosity, creativity, and a passion for innovation. Focused on our customers’ success and the constant improvement of our technology, we strive for excellence in everything we do. We embrace the diversity of our team and are committed to building an inspiring, empowering, and caring environment that fosters personal responsibility, development, and growth. As part of nature and society, we act ethically and strive to create a positive impact in the world.


    Workplace type: On-site (Zurich-Schlieren)

    Starting date: Flexible


    Are you interested? Awesome! Drop us an e-mail with your CV and motivational letter to talent@athebio.com (Applications without a motivational letter will not be considered.)

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +4006124475,https://br.linkedin.com/jobs/view/data-scientist-junior-at-xp-inc-4006124475?position=1&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=bO0%2FRWQtrd7%2BE6v0G%2Fxi%2BQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist Junior,XP Inc.,"São Paulo, São Paulo, Brazil","Sobre nós + +Muitos acham que sonhamos grande demais, mas na XP Inc. acreditamos no impossível. Nossa história começou em 2001, com um pequeno escritório de agentes autônomos de investimentos em Porto Alegre e hoje somos um grande ecossistema de serviços financeiros, mídia e educação. + +Chegamos até aqui com a dedicação de equipes talentosas que tiveram garra, determinação, resiliência e, acima de tudo, ambição para fazer acontecer. Sabemos que o que nos trouxe até aqui, não é o mesmo que vai nos levar adiante, mas seguiremos juntos, transformando o mercado financeiro. + +Nossos valores + + +Foco no cliente: Somos obstinados em superar as expectativas dos nossos clientes, sempre colocando-os em primeiro lugar nas nossas decisões. +Sonho grande: Miramos no impossível, acreditamos que ele pode se tornar realidade, e chegamos lá juntos, um passo de cada vez. +Mente aberta: Nossa abertura para o novo e nossa capacidade de adaptação são o que nos fazem evoluir e melhorar sempre. +Espírito empreendedor: Construímos o futuro com nossas próprias mãos com o mais alto nível de comprometimento e sentimento de dono. + + +Se identificou com a nossa cultura? Então embarque nesse foguete! 🚀 + +>> Sobre a vaga + +Como cientista de dados, com apoio do centro de excelência de Data Science & Machine Learning, essa pessoa será responsável por construir produtos de dados para otimizar tomada de decisão na companhia ligados principalmente ao core business. Com foco na frente de Experimentação e Otimização da experiência do cliente, terá exposição à diferentes abordagens de reinforcement learning impactando diretamente o cliente final, melhorando suas jornadas digitais e ajudando no processo de tomada de decisão para investimento e todo ecossistema de produtos XP. + +Principais Responsabilidades + + +Desenvolvimento e melhoria de soluções de Reinforcement Learning com foco em experiência do cliente e ofertas de produtos. +Análise de resultados e insights ligados aos modelos de Reinforcement Learning. + + +>> Para esta vaga, é essencial: + + +Conhecimento em Python. +Experiência com modelos de Machine Learning e modelos estatísticos. +Raciocínio analítico. + + +>> Você pode ter destaque se: + + +Pragmático, equilibrando qualidade e simplicidade, garantindo que estamos resolvendo problemas práticos e reais. +Conhecimento e interesse sobre mercado financeiro e produtos de investimento. +Experiência trabalhando com jornadas digitais (e.g. dados de navegação) +Se adaptar às mudanças e adversidades. +Trabalhar bem em equipe, colaborando com time de entrega e capítulo de Data Science, aproveitando conhecimento e capacidade das pessoas em diferentes áreas da XP. +Mostrar proatividade, ownership e capacidade de buscar conhecimento. +Conhecimento e experiência prática com modelos de RL como Multi-Armed Bandit ou Deep Q-Learning +Conhecimento em PySpark. + + +Saiba mais sobre nosso dia a dia no Instagram CLICANDO AQUI + +Confira nossas avaliações no Glassdoor CLICANDO AQUI + +“Se te oferecem um lugar em um foguete, não pergunte qual é o assento, apenas embarque.” + +Sheryl Sandberg + +Benefícios Que Oferecemos + + +Saúde e bem-estar: plano de saúde, plano odontológico, Gympass , Zenklub , VA, VR, New Value , seguro de vida. +Maternidade e Paternidade: auxílio creche para pais e mães, licença maternidade de 6 meses, licença paternidade de 20 dias. +Só na XP Inc.: assessoria de investimento e acesso a fundos de investimentos exclusivos. + + +Jornada de trabalho com flexibilidade + +O nosso modelo de trabalho varia de acordo com a função: preferencialmente presencial para frentes de negócio, predominantemente remoto para times de tecnologia e híbrido para as demais equipes. É importante ressaltar que todos os colaboradores precisam morar na localidade da vaga (nossa sede está localizada na cidade de São Paulo e é onde temos o maior número de posições), já que temos atividades que exigem a presença física para promover a colaboração e os rituais da nossa cultura. Esses encontros são organizados de acordo com as orientações dos líderes e as particularidades de cada rotina, para que nossos colaboradores possam exercer suas jornadas de trabalho com liberdade e autonomia. +Show more ","
    + + + + + +
    +
    + Sobre nós

    Muitos acham que sonhamos grande demais, mas na XP Inc. acreditamos no impossível. Nossa história começou em 2001, com um pequeno escritório de agentes autônomos de investimentos em Porto Alegre e hoje somos um grande ecossistema de serviços financeiros, mídia e educação.

    Chegamos até aqui com a dedicação de equipes talentosas que tiveram garra, determinação, resiliência e, acima de tudo, ambição para fazer acontecer. Sabemos que o que nos trouxe até aqui, não é o mesmo que vai nos levar adiante, mas seguiremos juntos, transformando o mercado financeiro.

    Nossos valores

    • Foco no cliente: Somos obstinados em superar as expectativas dos nossos clientes, sempre colocando-os em primeiro lugar nas nossas decisões.
    • Sonho grande: Miramos no impossível, acreditamos que ele pode se tornar realidade, e chegamos lá juntos, um passo de cada vez.
    • Mente aberta: Nossa abertura para o novo e nossa capacidade de adaptação são o que nos fazem evoluir e melhorar sempre.
    • Espírito empreendedor: Construímos o futuro com nossas próprias mãos com o mais alto nível de comprometimento e sentimento de dono.

    Se identificou com a nossa cultura? Então embarque nesse foguete! 🚀

    >> Sobre a vaga

    Como cientista de dados, com apoio do centro de excelência de Data Science & Machine Learning, essa pessoa será responsável por construir produtos de dados para otimizar tomada de decisão na companhia ligados principalmente ao core business. Com foco na frente de Experimentação e Otimização da experiência do cliente, terá exposição à diferentes abordagens de reinforcement learning impactando diretamente o cliente final, melhorando suas jornadas digitais e ajudando no processo de tomada de decisão para investimento e todo ecossistema de produtos XP.

    Principais Responsabilidades

    • Desenvolvimento e melhoria de soluções de Reinforcement Learning com foco em experiência do cliente e ofertas de produtos.
    • Análise de resultados e insights ligados aos modelos de Reinforcement Learning.

    >> Para esta vaga, é essencial:

    • Conhecimento em Python.
    • Experiência com modelos de Machine Learning e modelos estatísticos.
    • Raciocínio analítico.

    >> Você pode ter destaque se:

    • Pragmático, equilibrando qualidade e simplicidade, garantindo que estamos resolvendo problemas práticos e reais.
    • Conhecimento e interesse sobre mercado financeiro e produtos de investimento.
    • Experiência trabalhando com jornadas digitais (e.g. dados de navegação)
    • Se adaptar às mudanças e adversidades.
    • Trabalhar bem em equipe, colaborando com time de entrega e capítulo de Data Science, aproveitando conhecimento e capacidade das pessoas em diferentes áreas da XP.
    • Mostrar proatividade, ownership e capacidade de buscar conhecimento.
    • Conhecimento e experiência prática com modelos de RL como Multi-Armed Bandit ou Deep Q-Learning
    • Conhecimento em PySpark.

    Saiba mais sobre nosso dia a dia no Instagram CLICANDO AQUI

    Confira nossas avaliações no Glassdoor CLICANDO AQUI

    “Se te oferecem um lugar em um foguete, não pergunte qual é o assento, apenas embarque.”

    Sheryl Sandberg

    Benefícios Que Oferecemos

    • Saúde e bem-estar: plano de saúde, plano odontológico, Gympass , Zenklub , VA, VR, New Value , seguro de vida.
    • Maternidade e Paternidade: auxílio creche para pais e mães, licença maternidade de 6 meses, licença paternidade de 20 dias.
    • Só na XP Inc.: assessoria de investimento e acesso a fundos de investimentos exclusivos.

    Jornada de trabalho com flexibilidade

    O nosso modelo de trabalho varia de acordo com a função: preferencialmente presencial para frentes de negócio, predominantemente remoto para times de tecnologia e híbrido para as demais equipes. É importante ressaltar que todos os colaboradores precisam morar na localidade da vaga (nossa sede está localizada na cidade de São Paulo e é onde temos o maior número de posições), já que temos atividades que exigem a presença física para promover a colaboração e os rituais da nossa cultura. Esses encontros são organizados de acordo com as orientações dos líderes e as particularidades de cada rotina, para que nossos colaboradores possam exercer suas jornadas de trabalho com liberdade e autonomia. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4004418117,https://br.linkedin.com/jobs/view/cientista-de-dados-cr%C3%A9dito-at-natura-4004418117?position=2&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=DBRzDprLJBV%2Bn%2FXOghy9dQ%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de Dados - Crédito,Natura,"São Paulo, São Paulo, Brazil","Você já pensou em trabalhar em uma empresa que se preocupa com a sustentabilidade? Você gosta de criar relações, desenvolver equipe e de gerar boas experiências? Você já se imaginou em um lugar que valoriza a diversidade? Se você respondeu sim para todas essas perguntas, estamos procurando VOCÊ! + + + + +https://www.youtube.com/watch?v=BNFZzt4ZCls + + + + +Natura é formada por duas marcas de beleza icônicas: Avon e Natura, cada uma com missão e espírito únicos, mas conectadas pelo propósito comum de construir, juntas, o caminho para um futuro melhor. Presentes em mais de 100 países e com mais de 200 milhões de consumidores, e entendendo que promover beleza PARA o mundo é, também, deixar um legado, as empresas ajudam a transformar a sociedade a partir da forma como desenvolvem seus negócios, promovendo a valorização da inclusão e da diversidade, a proteção do meio ambiente e a geração de oportunidades e renda às mulheres. + + + + +Te convido avaliar nossa oportunidade! + +Função + +Prazo indeterminado + + + + +Localidade: NASP - Av. Alexandre Colares, 1188 - Parque Anhanguera, São Paulo - SP, 05106-000 + + + + +O que você irá fazer: + +Estamos em busca de um especialista que seja referência em soluções de dados para contribuir com insights para o negócio. Ele precisa ter fortes habilidades técnicas e analíticas + + + + + + + +Quais são as principais responsabilidades? + +Aqui estão as responsabilidades, para que o desenvolvimento da sua carreira abra portas para o sucesso: + +Realizar extração de dados e construção de análises complexas; +Contribuir para discussões tanto operacionais quanto estratégicas do time; +Alinhar, negociar e ser parceiro dos times de negócio, growth e produto; +Identificar oportunidades de geração de valor e uso de dados no Negócio. +Pensa no que o negócio precisa como solução antes de pensar em como realizar tecnicamente; + + + + + + + +Aqui estão os requisitos, que dão poder e inspiram sua jornada: + +Domínio em SQL, Python, PySpark e Databricks; +Domínio com ferramentas de visualização de Dados (preferencialmente Tableau); +Experiência com grande volume de Dados; +Capacidade de ser a interface com os principais stakeholders e projetos de várias áreas de negócio; +Traduzir o técnico em linguagem de negócios. +Clareza na comunicação para alinhar demandas e entender necessidades; +Capaz de se adaptar a diferentes contextos e mudanças de direção. +Disponibilidade para discutir e ajustar análises e processos + + + + + + + +Aqui estão os benefícios que vão contribuir para uma experiência de bem-estar holística: + +PLR; +Transporte fretado ida/volta. Estacionamento e restaurante no local; +Modelo de Trabalho Híbrido ou Remoto +Sua sexta-feira termina às 15:00 #sextou; +O dia do seu aniversário é na sua casa + Vale-presente Natura; +Produtos Natura, Avon com 40% off. (calma! são 10 produtos por mês para cada um e-commerce); +Berçário para os filhos de até 3 anos das mães e pais colaboradorxs nas localidades do NASP e Cajamar; +Licença maternidade 6 meses + Licença paternidade 40 dias; +Presente no dia das mães (para a sua e para você, se também for mãe); +Gympass; +Assistência médica; +Assistência Psicológica (Psicologia Viva - 4 Sessões Gratuitas por mês); +Assistência odontológica; +Seguro de vida; +Auxílio home office (modelos híbrido e remoto); +Vale Refeição para os dias de Home Office (modelos híbrido e remoto). + + + + +A Natura celebra e abraça a diversidade em todas as suas formas e pluralidades! Convidamos as #Mulheres, pessoas #Negras, profissionais com deficiência (#PCD), pessoas pertencentes às comunidades #LGBTQIA+ #Gestantes e profissionais de #QualquerIdade a se candidatarem a esta vaga! + + + + +Caso queira saber mais informações sobre como utilizamos seus dados pessoais para fins de recrutamento, consulte o Aviso de Privacidade do Grupo Natura &Co para Candidatas/os, acesse :https://static.rede.natura.net/html/07-2023/global/natura-co/natura-co-global-aviso-para-candidatas-a-vagas.pdf + +Show more ","
    + + + + + +
    +
    +

    Você já pensou em trabalhar em uma empresa que se preocupa com a sustentabilidade? Você gosta de criar relações, desenvolver equipe e de gerar boas experiências? Você já se imaginou em um lugar que valoriza a diversidade? Se você respondeu sim para todas essas perguntas, estamos procurando VOCÊ!


    https://www.youtube.com/watch?v=BNFZzt4ZCls


    Natura é formada por duas marcas de beleza icônicas: Avon e Natura, cada uma com missão e espírito únicos, mas conectadas pelo propósito comum de construir, juntas, o caminho para um futuro melhor. Presentes em mais de 100 países e com mais de 200 milhões de consumidores, e entendendo que promover beleza PARA o mundo é, também, deixar um legado, as empresas ajudam a transformar a sociedade a partir da forma como desenvolvem seus negócios, promovendo a valorização da inclusão e da diversidade, a proteção do meio ambiente e a geração de oportunidades e renda às mulheres.


    Te convido avaliar nossa oportunidade!

    Função

    Prazo indeterminado


    Localidade: NASP - Av. Alexandre Colares, 1188 - Parque Anhanguera, São Paulo - SP, 05106-000


    O que você irá fazer:

    Estamos em busca de um especialista que seja referência em soluções de dados para contribuir com insights para o negócio. Ele precisa ter fortes habilidades técnicas e analíticas



    Quais são as principais responsabilidades?

    Aqui estão as responsabilidades, para que o desenvolvimento da sua carreira abra portas para o sucesso:

    • Realizar extração de dados e construção de análises complexas;
    • Contribuir para discussões tanto operacionais quanto estratégicas do time;
    • Alinhar, negociar e ser parceiro dos times de negócio, growth e produto;
    • Identificar oportunidades de geração de valor e uso de dados no Negócio.
    • Pensa no que o negócio precisa como solução antes de pensar em como realizar tecnicamente;



    Aqui estão os requisitos, que dão poder e inspiram sua jornada:

    • Domínio em SQL, Python, PySpark e Databricks;
    • Domínio com ferramentas de visualização de Dados (preferencialmente Tableau);
    • Experiência com grande volume de Dados;
    • Capacidade de ser a interface com os principais stakeholders e projetos de várias áreas de negócio;
    • Traduzir o técnico em linguagem de negócios.
    • Clareza na comunicação para alinhar demandas e entender necessidades;
    • Capaz de se adaptar a diferentes contextos e mudanças de direção.
    • Disponibilidade para discutir e ajustar análises e processos



    Aqui estão os benefícios que vão contribuir para uma experiência de bem-estar holística:

    • PLR;
    • Transporte fretado ida/volta. Estacionamento e restaurante no local;
    • Modelo de Trabalho Híbrido ou Remoto
    • Sua sexta-feira termina às 15:00 #sextou;
    • O dia do seu aniversário é na sua casa + Vale-presente Natura;
    • Produtos Natura, Avon com 40% off. (calma! são 10 produtos por mês para cada um e-commerce);
    • Berçário para os filhos de até 3 anos das mães e pais colaboradorxs nas localidades do NASP e Cajamar;
    • Licença maternidade 6 meses + Licença paternidade 40 dias;
    • Presente no dia das mães (para a sua e para você, se também for mãe);
    • Gympass;
    • Assistência médica;
    • Assistência Psicológica (Psicologia Viva - 4 Sessões Gratuitas por mês);
    • Assistência odontológica;
    • Seguro de vida;
    • Auxílio home office (modelos híbrido e remoto);
    • Vale Refeição para os dias de Home Office (modelos híbrido e remoto).


    A Natura celebra e abraça a diversidade em todas as suas formas e pluralidades! Convidamos as #Mulheres, pessoas #Negras, profissionais com deficiência (#PCD), pessoas pertencentes às comunidades #LGBTQIA+ #Gestantes e profissionais de #QualquerIdade a se candidatarem a esta vaga!


    Caso queira saber mais informações sobre como utilizamos seus dados pessoais para fins de recrutamento, consulte o Aviso de Privacidade do Grupo Natura &Co para Candidatas/os, acesse :https://static.rede.natura.net/html/07-2023/global/natura-co/natura-co-global-aviso-para-candidatas-a-vagas.pdf

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3986928845,https://br.linkedin.com/jobs/view/cientista-de-dados-jr-at-magazine-luiza-3986928845?position=3&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=Sb4uWOilc5O32vaoneW0hg%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de dados Jr,Magazine Luiza,"São Paulo, São Paulo, Brazil","Responsabilidades da Oportunidade + +O time de Data Science do Magalu está à procura de Cientista de Dados para nos ajudar a desenvolver soluções analíticas para diversos problemas de negócios (relacionados a fraude, projeção de demanda, precificação, sortimento, marketing, logística, investimentos, entre outros), utilizando técnicas de Machine Learning e Inteligência Artificial. + + +Entendimento das necessidades de negócios; +Criação de hipóteses para solução dos problemas de negócio em questão; +Realização de análises descritivas, diagnósticas, preditivas e/ou prescritivas; +Criação de modelos estatísticos / de machine learning e otimizadores; +Identificação, recomendação e implementação de oportunidades de melhoria relacionadas aos problemas de negócio abordados; +Criação de métricas e acompanhamento de performance das soluções criadas, buscando melhorias contínuas +Exposição / apresentação dos trabalhos realizados e resultados obtidos para as áreas de negócio e executivos da empresa. + + +Requisitos + +Requisitos Obrigatórios + + +Graduação completa; +Conhecimento em linguagens de programação (ex: C, Python, Java, R, etc); +Aptidão e interesse em programação; Interesse por Ciência de Dados; +Conhecimentos e experiência em Data Science (ex: Regressões, Classificações, segmentações, etc.); +Experiência em modelagem de dados; +Visão de negócios; Alta capacidade de comunicação; +Facilidade em trabalhar em times / engajar com pares e parceiros de negócios. + + +Requisitos Desejáveis + + +Conhecimentos em estatística; +Conhecimento de ferramentas de Big Data (e.g., Hadoop, Hive e Spark); +Portfólio de projetos relacionados à Ciência de Dados (Github, Kaggle etc.); +Experiência na área. + + +Diversidade + +O Magalu promove a diversidade. + +Aqui você é bem-vindx em todas as vagas independentemente de gênero, orientação sexual, raça, etnia ou deficiência. + +Benefícios + + +Academia / Práticas Esportivas +Assist. Médica +Assist. Odontológica +Bicicletário +Bolsa de Estudo +Desconto em Produtos +Estacionamento +Poss. Horário Flexível +Seguro de Vida +Vale-Alimentação +Vale-Refeição +Vale-Transporte + + +Show more ","
    + + + + + +
    +
    + Responsabilidades da Oportunidade

    O time de Data Science do Magalu está à procura de Cientista de Dados para nos ajudar a desenvolver soluções analíticas para diversos problemas de negócios (relacionados a fraude, projeção de demanda, precificação, sortimento, marketing, logística, investimentos, entre outros), utilizando técnicas de Machine Learning e Inteligência Artificial.

    • Entendimento das necessidades de negócios;
    • Criação de hipóteses para solução dos problemas de negócio em questão;
    • Realização de análises descritivas, diagnósticas, preditivas e/ou prescritivas;
    • Criação de modelos estatísticos / de machine learning e otimizadores;
    • Identificação, recomendação e implementação de oportunidades de melhoria relacionadas aos problemas de negócio abordados;
    • Criação de métricas e acompanhamento de performance das soluções criadas, buscando melhorias contínuas
    • Exposição / apresentação dos trabalhos realizados e resultados obtidos para as áreas de negócio e executivos da empresa.

    Requisitos

    Requisitos Obrigatórios

    • Graduação completa;
    • Conhecimento em linguagens de programação (ex: C, Python, Java, R, etc);
    • Aptidão e interesse em programação; Interesse por Ciência de Dados;
    • Conhecimentos e experiência em Data Science (ex: Regressões, Classificações, segmentações, etc.);
    • Experiência em modelagem de dados;
    • Visão de negócios; Alta capacidade de comunicação;
    • Facilidade em trabalhar em times / engajar com pares e parceiros de negócios.

    Requisitos Desejáveis

    • Conhecimentos em estatística;
    • Conhecimento de ferramentas de Big Data (e.g., Hadoop, Hive e Spark);
    • Portfólio de projetos relacionados à Ciência de Dados (Github, Kaggle etc.);
    • Experiência na área.

    Diversidade

    O Magalu promove a diversidade.

    Aqui você é bem-vindx em todas as vagas independentemente de gênero, orientação sexual, raça, etnia ou deficiência.

    Benefícios

    • Academia / Práticas Esportivas
    • Assist. Médica
    • Assist. Odontológica
    • Bicicletário
    • Bolsa de Estudo
    • Desconto em Produtos
    • Estacionamento
    • Poss. Horário Flexível
    • Seguro de Vida
    • Vale-Alimentação
    • Vale-Refeição
    • Vale-Transporte

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +3972568548,https://br.linkedin.com/jobs/view/fellow-data-scientist-at-xp-inc-3972568548?position=4&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=X7TcGk1snqd8Vomfo%2B0jVw%3D%3D&trk=public_jobs_jserp-result_search-card,Fellow Data Scientist,XP Inc.,"São Paulo, São Paulo, Brazil","Sobre nós + +Muitos acham que sonhamos grande demais, mas na XP Inc. acreditamos no impossível. Nossa história começou em 2001, com um pequeno escritório de agentes autônomos de investimentos em Porto Alegre e hoje somos um grande ecossistema de serviços financeiros, mídia e educação. + +Chegamos até aqui com a dedicação de equipes talentosas que tiveram garra, determinação, resiliência e, acima de tudo, ambição para fazer acontecer. Sabemos que o que nos trouxe até aqui, não é o mesmo que vai nos levar adiante, mas seguiremos juntos, transformando o mercado financeiro. + +Nossos valores + + +Foco no cliente: Somos obstinados em superar as expectativas dos nossos clientes, sempre colocando-os em primeiro lugar nas nossas decisões. +Sonho grande: Miramos no impossível, acreditamos que ele pode se tornar realidade, e chegamos lá juntos, um passo de cada vez. +Mente aberta: Nossa abertura para o novo e nossa capacidade de adaptação são o que nos fazem evoluir e melhorar sempre. +Espírito empreendedor: Construímos o futuro com nossas próprias mãos com o mais alto nível de comprometimento e sentimento de dono. + + +Se identificou com a nossa cultura? Então embarque nesse foguete! 🚀 + +>> Sobre a vaga + +Como cientista de dados, com apoio do centro de excelência de Data Science & Machine Learning, essa pessoa será responsável por construir produtos de dados para otimizar tomada de decisão na companhia, como modelos de classificação, otimização de heurísticas e análises estatísticas. + +Principais Responsabilidades + + +Responsável por análises e soluções estatísticos e de machine learning, entendendo os fenômenos para transcrever em dados e variáveis, e desenvolvendo modelos preditivos e não supervisionados.. + + +>> Para esta vaga, é essencial: + + +Conhecimento em Python. +Experiência com modelos de Machine Learning e modelos estatísticos. + + +>> Você pode ter destaque se: + + +Pragmático, equilibrando qualidade e simplicidade, garantindo que estamos resolvendo problemas práticos e reais. +Se adaptar às mudanças e adversidades. +Trabalhar bem em equipe, colaborando com time de entrega e capítulo de Data Science, aproveitando conhecimento e capacidade das pessoas em diferentes áreas da XP. +Mostrar proatividade, ownership e capacidade de buscar conhecimento. +Conhecimento em PySpark. + + +Saiba mais sobre nosso dia a dia no Instagram CLICANDO AQUI + +Confira nossas avaliações no Glassdoor CLICANDO AQUI + +“Se te oferecem um lugar em um foguete, não pergunte qual é o assento, apenas embarque.” + +Sheryl Sandberg + +Benefícios Que Oferecemos + + +Saúde e bem-estar: plano de saúde, plano odontológico, Gympass , Zenklub , VA, VR, New Value , seguro de vida. +Maternidade e Paternidade: auxílio creche para pais e mães, licença maternidade de 6 meses, licença paternidade de 20 dias. +Só na XP Inc.: assessoria de investimento e acesso a fundos de investimentos exclusivos. + + +Jornada de trabalho com flexibilidade + +O nosso modelo de trabalho varia de acordo com a função: preferencialmente presencial para frentes de negócio, predominantemente remoto para times de tecnologia e híbrido para as demais equipes. É importante ressaltar que todos os colaboradores precisam morar na localidade da vaga (nossa sede está localizada na cidade de São Paulo e é onde temos o maior número de posições), já que temos atividades que exigem a presença física para promover a colaboração e os rituais da nossa cultura. Esses encontros são organizados de acordo com as orientações dos líderes e as particularidades de cada rotina, para que nossos colaboradores possam exercer suas jornadas de trabalho com liberdade e autonomia. +Show more ","
    + + + + + +
    +
    + Sobre nós

    Muitos acham que sonhamos grande demais, mas na XP Inc. acreditamos no impossível. Nossa história começou em 2001, com um pequeno escritório de agentes autônomos de investimentos em Porto Alegre e hoje somos um grande ecossistema de serviços financeiros, mídia e educação.

    Chegamos até aqui com a dedicação de equipes talentosas que tiveram garra, determinação, resiliência e, acima de tudo, ambição para fazer acontecer. Sabemos que o que nos trouxe até aqui, não é o mesmo que vai nos levar adiante, mas seguiremos juntos, transformando o mercado financeiro.

    Nossos valores

    • Foco no cliente: Somos obstinados em superar as expectativas dos nossos clientes, sempre colocando-os em primeiro lugar nas nossas decisões.
    • Sonho grande: Miramos no impossível, acreditamos que ele pode se tornar realidade, e chegamos lá juntos, um passo de cada vez.
    • Mente aberta: Nossa abertura para o novo e nossa capacidade de adaptação são o que nos fazem evoluir e melhorar sempre.
    • Espírito empreendedor: Construímos o futuro com nossas próprias mãos com o mais alto nível de comprometimento e sentimento de dono.

    Se identificou com a nossa cultura? Então embarque nesse foguete! 🚀

    >> Sobre a vaga

    Como cientista de dados, com apoio do centro de excelência de Data Science & Machine Learning, essa pessoa será responsável por construir produtos de dados para otimizar tomada de decisão na companhia, como modelos de classificação, otimização de heurísticas e análises estatísticas.

    Principais Responsabilidades

    • Responsável por análises e soluções estatísticos e de machine learning, entendendo os fenômenos para transcrever em dados e variáveis, e desenvolvendo modelos preditivos e não supervisionados..

    >> Para esta vaga, é essencial:

    • Conhecimento em Python.
    • Experiência com modelos de Machine Learning e modelos estatísticos.

    >> Você pode ter destaque se:

    • Pragmático, equilibrando qualidade e simplicidade, garantindo que estamos resolvendo problemas práticos e reais.
    • Se adaptar às mudanças e adversidades.
    • Trabalhar bem em equipe, colaborando com time de entrega e capítulo de Data Science, aproveitando conhecimento e capacidade das pessoas em diferentes áreas da XP.
    • Mostrar proatividade, ownership e capacidade de buscar conhecimento.
    • Conhecimento em PySpark.

    Saiba mais sobre nosso dia a dia no Instagram CLICANDO AQUI

    Confira nossas avaliações no Glassdoor CLICANDO AQUI

    “Se te oferecem um lugar em um foguete, não pergunte qual é o assento, apenas embarque.”

    Sheryl Sandberg

    Benefícios Que Oferecemos

    • Saúde e bem-estar: plano de saúde, plano odontológico, Gympass , Zenklub , VA, VR, New Value , seguro de vida.
    • Maternidade e Paternidade: auxílio creche para pais e mães, licença maternidade de 6 meses, licença paternidade de 20 dias.
    • Só na XP Inc.: assessoria de investimento e acesso a fundos de investimentos exclusivos.

    Jornada de trabalho com flexibilidade

    O nosso modelo de trabalho varia de acordo com a função: preferencialmente presencial para frentes de negócio, predominantemente remoto para times de tecnologia e híbrido para as demais equipes. É importante ressaltar que todos os colaboradores precisam morar na localidade da vaga (nossa sede está localizada na cidade de São Paulo e é onde temos o maior número de posições), já que temos atividades que exigem a presença física para promover a colaboração e os rituais da nossa cultura. Esses encontros são organizados de acordo com as orientações dos líderes e as particularidades de cada rotina, para que nossos colaboradores possam exercer suas jornadas de trabalho com liberdade e autonomia. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3997671789,https://br.linkedin.com/jobs/view/data-scientist-specialist-at-banco-bradesco-3997671789?position=5&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=MbhGrgPLVmDJLF7GI9K73Q%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST SPECIALIST,Banco Bradesco,"Osasco, São Paulo, Brazil","Sobre o Bradesco + +Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação. + +E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade. + +Responsabilidades e atribuições + +O que é o nosso time de Crédito? + +O time de Crédito possui como missão garantir uma gestão eficiente na concessão e manutenção de crédito, que assegure rentabilidade e o crescimento com solidez dos ativos da Organização. + +Modelo de trabalho : Híbrido – 2x presencial (qua e qui). + +Local: Osasco/ SP. + +Como será seu dia a dia? + +Sendo DATA SCIENTIST SPECIALIST suas principais atividades serão: + + + +Realizar projeções de crédito através de modelos de series temporais; +Aplicar modelos estatísticos para geração de insights; +Realizar segmentações e Análise de Cluster; +Manipular base de Dados; +Realizar avaliação de soluções analíticas internas e externas do mercado; +Direcionar originação de maneira a respeitar as concentrações máximas das carteiras; +Definir as fronteiras Hard/Soft junto a área de Riscos e apresentar os limites definidos aos segmentos; +Desenvolver clusters a fim de buscar o perfil ideal; +Mapear e conduzir estudos de mercado visando encontrar oportunidades de negócio e recomendar aos segmentos de clientes; +Disparar, junto a área de Riscos, alertas aos segmentos sobre a aproximação aos limites definidos. + + + +Requisitos e Qualificações + +O que você precisa ter ou saber? + + + +Formação em Estatística, Matemática Engenharia e correlatos; +Vivência com programação em linguagem Python e SQL; +PPT avançado; +Vivência com modelagem estatística; +Vivência com políticas de crédito e gestão de portfólio; +Vivência com manipulação de dados, geração de insights e segmentação clientes; +Vivência com risco de crédito; +Inglês avançado; +Conhecimento em SAS. + + + +O que nós oferecemos + +No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras. + + + +PLR ou Bônus: Conforme a elegibilidade de cargo* +Convênio Médico +Convênio Odontológico +Seguro de Vida +Vale Alimentação +Vale Refeição +Total Pass +13º Cesta Alimentação +Vale Transporte (adesão opcional) +Descontos em produtos e serviços em empresas parceiras +Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco) +Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida +Unibrad: Universidade Corporativa Bradesco +Isenção de Tarifas: condições especiais em diversos produtos e serviços +Auxílio Creche ou Babá +Licença Paternidade estendida de 20 dias +Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto + + + +Saiba mais sobre o Bradesco + +Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ . + +Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +Show more ","
    + + + + + +
    +
    + Sobre o Bradesco

    Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação.

    E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade.

    Responsabilidades e atribuições

    O que é o nosso time de Crédito?

    O time de Crédito possui como missão garantir uma gestão eficiente na concessão e manutenção de crédito, que assegure rentabilidade e o crescimento com solidez dos ativos da Organização.

    Modelo de trabalho : Híbrido – 2x presencial (qua e qui).

    Local: Osasco/ SP.

    Como será seu dia a dia?

    Sendo DATA SCIENTIST SPECIALIST suas principais atividades serão:


    • Realizar projeções de crédito através de modelos de series temporais;
    • Aplicar modelos estatísticos para geração de insights;
    • Realizar segmentações e Análise de Cluster;
    • Manipular base de Dados;
    • Realizar avaliação de soluções analíticas internas e externas do mercado;
    • Direcionar originação de maneira a respeitar as concentrações máximas das carteiras;
    • Definir as fronteiras Hard/Soft junto a área de Riscos e apresentar os limites definidos aos segmentos;
    • Desenvolver clusters a fim de buscar o perfil ideal;
    • Mapear e conduzir estudos de mercado visando encontrar oportunidades de negócio e recomendar aos segmentos de clientes;
    • Disparar, junto a área de Riscos, alertas aos segmentos sobre a aproximação aos limites definidos.


    Requisitos e Qualificações

    O que você precisa ter ou saber?


    • Formação em Estatística, Matemática Engenharia e correlatos;
    • Vivência com programação em linguagem Python e SQL;
    • PPT avançado;
    • Vivência com modelagem estatística;
    • Vivência com políticas de crédito e gestão de portfólio;
    • Vivência com manipulação de dados, geração de insights e segmentação clientes;
    • Vivência com risco de crédito;
    • Inglês avançado;
    • Conhecimento em SAS.


    O que nós oferecemos

    No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras.


    • PLR ou Bônus: Conforme a elegibilidade de cargo*
    • Convênio Médico
    • Convênio Odontológico
    • Seguro de Vida
    • Vale Alimentação
    • Vale Refeição
    • Total Pass
    • 13º Cesta Alimentação
    • Vale Transporte (adesão opcional)
    • Descontos em produtos e serviços em empresas parceiras
    • Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
    • Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
    • Unibrad: Universidade Corporativa Bradesco
    • Isenção de Tarifas: condições especiais em diversos produtos e serviços
    • Auxílio Creche ou Babá
    • Licença Paternidade estendida de 20 dias
    • Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto


    Saiba mais sobre o Bradesco

    Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ .

    Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3998548928,https://br.linkedin.com/jobs/view/cientista-de-dados%0As%C3%A3o-paulo-sp-e-h%C3%ADbrido%0Aefetivo-at-grupo-n%C3%B3s-3998548928?position=6&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=bfw%2BT5n2O6aQZPYJrXwKKw%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de Dados São Paulo - SP e Híbrido Efetivo,Grupo Nós,"São Paulo, São Paulo, Brazil","Descrição da vaga + +Faz parte dos atributos da nossa cultura a valorização da Diversidade e reconhecemos que ter um ambiente diverso traz maiores conexões, geram inovação e atingimento de resultados incríveis, por isso, não fazemos distinção de pessoas com deficiência, gênero, orientação sexual, raça/etnia, idade, origem, constituição familiar e estética. + +Para promover um ambiente seguro e acolhedor, temos os nossos Grupos de Afinidade - Elas Importam, voltado para equidade de gênero e empoderamento das nossas mulheres e o Ajuda Nós, nosso programa de voluntariado que busca impactar pessoas em situações de vulnerabilidade social, garantindo assim, que o nosso propósito de ""Aproximar e facilitar para uma vida melhor"" gere impacto ambiental e social positivo. + +Trabalhar com plataformas de dados, transformando-os, analisando-os e trazendo insights para as áreas de negócio, com alto nível de profundidade e acurácia. Contribuir de maneira eficaz para o sucesso da empresa, utilizando dados para otimizar operações, entender os clientes e melhorar a tomada de decisões estratégicas. + +Venha fazer parte do #GrupoNós e tenha a oportunidade de participar da construção da empresa de varejo que mais cresce no Brasil! 😉 + +Responsabilidades e atribuições + +Coleta e Preparação De Dados + + +Extrair, limpar e organizar grandes volumes de dados de diversas fontes (sistemas internos, bases de dados externas, APIs, etc.). +Garantir a integridade e a qualidade dos dados. + + +Análise De Dados + + +Analisar dados para identificar tendências, padrões e insights que possam ajudar a tomar decisões informadas. +Utilizar técnicas estatísticas e de machine learning para criar modelos preditivos e descritivos. + + +Desenvolvimento De Modelos + + +Desenvolver, testar e validar modelos preditivos e algoritmos de machine learning. +Implementar e manter esses modelos em produção. + + +Visualização e Comunicação De Resultados + + +Criar dashboards e relatórios para visualizar dados e resultados de análises. +Comunicar insights e recomendações de forma clara e objetiva para stakeholders não técnicos. + + +Colaboração Com Equipes + + +Trabalhar em estreita colaboração com equipes de TI, comercial, operações e finanças para entender necessidades de negócios e traduzir essas necessidades em soluções de dados. +Participar em projetos multidisciplinares e contribuir com a perspectiva analítica. + + +Automatização De Processos + + +Desenvolver scripts e ferramentas para automatizar a coleta, processamento e análise de dados. +Implementar soluções de big data e processamento em tempo real, quando necessário. + + +Monitoramento e Manutenção + + +Monitorar o desempenho dos modelos e ajustar conforme necessário. +Manter documentação detalhada dos processos e modelos. + + +Requisitos e qualificações + +Formação: Ensino superior completo. + +Experiência com extração de dados via SQL; + +Conhecimento avançado em: Power BI e Python ou R; + +Conhecimento avançado em técnicas de análise de dados, modelagem estatística (regressão, predição, clusterização, entre outros) e Machine Learning. + +Conhecimento em ferramentas Oracle será um diferencial; + +Espanhol será um diferencial. + +Informações adicionais + +⬇️ O Que Oferecemos + +🏡 Sistema de trabalho MultiFlex – aqui você pode trabalhar de sua casa ou de onde quiser 2 vezes na semana. + +🕗 Horário Flexível - temos flexibilidade para o horário de entrada e saída, desta forma, você organiza melhor no seu cotidiano. + +👕 Sem Dress Code - você é livre para trabalhar como se sentir confortável no dia-a-dia, respeitando as demais pessoas que irão conviver junto a você. + +🚗 Vale Transporte ou Estacionamento no local - você poderá vir para o escritório de transporte comum ou com seu veículo próprio tendo cobertura de 50% do estacionamento. + +💳 Vale Refeição - disponibilizado no cartão Sodexo. + +💳 Vale Alimentação - disponibilizado no cartão Sodexo. + +🏥 Assistência Médica e Odontológica - temos parceria com a SulAmérica, abrangência nacional, sem desconto de mensalidade para você e seus dependentes, apenas com coparticipação. + +🧡 Seguro de Vida - também SulAmérica para você e sua família, com toda assistência em caso de acidente ou falecimento. + +🦾Convênio Academia - por aqui colocamos a saúde em primeiro lugar, por isso temos parceria com o Gympass, que oferece diversas soluções de bem-estar para o nosso time! + +👶🏻 Auxílio Creche ou Acompanhante - as mamães que fazem parte do nosso time contam com auxilio creche ou reembolso de babá para seus filhos. + +💲 Cooperativa de Crédito - temos a parceria com a Barracred para oferecer a você empréstimos consignados com juros abaixo dos praticados pelo mercado. + +🛒 Clube de descontos - você terá acesso a Allya, que conecta mais de 30.000 estabelecimentos, oferecendo benefícios e vantagens financeiras, tudo de forma personalizada em uma única plataforma. + +📈 Previdência Privada - para você investir no seu futuro com a Raizprev. + +💰Bônus Anual - valorizamos o potencial das NOSsas pessoas, por isso reconhecemos anualmente o atingimento de metas. + +🤝Parceria com SESC - visando o seu bem estar e de seus familiares, com atuação em todo o Brasil! + +👩👨 Licença Maternidade e Paternidade - aqui a nossa licença maternidade é estendida para 6 meses e a paternidade para 20 dias. + +📚 Educa - NOSsa plataforma de universidade corporativa, voltada para o desenvolvimento e capacitação das NOSsas pessoas e clientes. + + +💬 Carreira além da hierarquia - nosso plano de desenvolvimento de carreira é claro para as NOSsas pessoas, por isso contamos com uma cultura de feedbacks e 1:1's frequentes! + + +Etapas do processo + + +Etapa 1: Cadastro1Cadastro +Etapa 2: Triagem2Triagem +Etapa 3: Entrevista Online com A&S3Entrevista Online com A&S +Etapa 4: Entrevista Online com Gestor4Entrevista Online com Gestor +Etapa 5: Oferta ao candidato5Oferta ao candidato +Etapa 6: Contratação6Contratação + + +quem somos? + +É mais fácil viver quando estamos juntos de quem importa, construindo relações sólidas e verdadeiras. Por isso, unimos a Shell Select e a OXXO para criar o Grupo Nós, que já nasce como potência no mercado de proximidade e conveniência no Brasil. + +Contamos com a experiência e conhecimento da Raízen e Femsa para garantir expansão rápida e sustentável, e estar sempre por perto para facilitar a vida de colaboradores, clientes, acionistas e toda sociedade. Afinal, nossa missão é uma só: aproximar e facilitar para uma vida melhor. + +Conheça Nossa Marcas + + +Shell Select: com mais de mil unidades pelo Brasil, nossa rede de conveniência nos postos Shell, se destaca com produtos e serviços que atendem as missões de compras dos consumidores e oferece operação simplificada com alta rentabilidade para o franqueado. Em 2018, uma nova geração da loja foi lançada, propondo uma nova experiência ao consumidor e um formato de operação ainda mais rentável ao franqueado. +OXXO: criada em 1978, hoje são mais de 18 mil lojas de proximidade espalhadas pela América Latina. Ao longo dos anos, encantou o público e se destacou no mercado graças à qualidade do serviço, consistente estratégia de expansão e profissionalização na operação de lojas. Em 2017, fomos nomeados a marca de varejo mais valiosa do México pela Interbrand. +Show more ","
    + + + + + +
    +
    + Descrição da vaga

    Faz parte dos atributos da nossa cultura a valorização da Diversidade e reconhecemos que ter um ambiente diverso traz maiores conexões, geram inovação e atingimento de resultados incríveis, por isso, não fazemos distinção de pessoas com deficiência, gênero, orientação sexual, raça/etnia, idade, origem, constituição familiar e estética.

    Para promover um ambiente seguro e acolhedor, temos os nossos Grupos de Afinidade - Elas Importam, voltado para equidade de gênero e empoderamento das nossas mulheres e o Ajuda Nós, nosso programa de voluntariado que busca impactar pessoas em situações de vulnerabilidade social, garantindo assim, que o nosso propósito de ""Aproximar e facilitar para uma vida melhor"" gere impacto ambiental e social positivo.

    Trabalhar com plataformas de dados, transformando-os, analisando-os e trazendo insights para as áreas de negócio, com alto nível de profundidade e acurácia. Contribuir de maneira eficaz para o sucesso da empresa, utilizando dados para otimizar operações, entender os clientes e melhorar a tomada de decisões estratégicas.

    Venha fazer parte do #GrupoNós e tenha a oportunidade de participar da construção da empresa de varejo que mais cresce no Brasil! 😉

    Responsabilidades e atribuições

    Coleta e Preparação De Dados

    • Extrair, limpar e organizar grandes volumes de dados de diversas fontes (sistemas internos, bases de dados externas, APIs, etc.).
    • Garantir a integridade e a qualidade dos dados.

    Análise De Dados

    • Analisar dados para identificar tendências, padrões e insights que possam ajudar a tomar decisões informadas.
    • Utilizar técnicas estatísticas e de machine learning para criar modelos preditivos e descritivos.

    Desenvolvimento De Modelos

    • Desenvolver, testar e validar modelos preditivos e algoritmos de machine learning.
    • Implementar e manter esses modelos em produção.

    Visualização e Comunicação De Resultados

    • Criar dashboards e relatórios para visualizar dados e resultados de análises.
    • Comunicar insights e recomendações de forma clara e objetiva para stakeholders não técnicos.

    Colaboração Com Equipes

    • Trabalhar em estreita colaboração com equipes de TI, comercial, operações e finanças para entender necessidades de negócios e traduzir essas necessidades em soluções de dados.
    • Participar em projetos multidisciplinares e contribuir com a perspectiva analítica.

    Automatização De Processos

    • Desenvolver scripts e ferramentas para automatizar a coleta, processamento e análise de dados.
    • Implementar soluções de big data e processamento em tempo real, quando necessário.

    Monitoramento e Manutenção

    • Monitorar o desempenho dos modelos e ajustar conforme necessário.
    • Manter documentação detalhada dos processos e modelos.

    Requisitos e qualificações

    Formação: Ensino superior completo.

    Experiência com extração de dados via SQL;

    Conhecimento avançado em: Power BI e Python ou R;

    Conhecimento avançado em técnicas de análise de dados, modelagem estatística (regressão, predição, clusterização, entre outros) e Machine Learning.

    Conhecimento em ferramentas Oracle será um diferencial;

    Espanhol será um diferencial.

    Informações adicionais

    ⬇️ O Que Oferecemos

    🏡 Sistema de trabalho MultiFlex – aqui você pode trabalhar de sua casa ou de onde quiser 2 vezes na semana.

    🕗 Horário Flexível - temos flexibilidade para o horário de entrada e saída, desta forma, você organiza melhor no seu cotidiano.

    👕 Sem Dress Code - você é livre para trabalhar como se sentir confortável no dia-a-dia, respeitando as demais pessoas que irão conviver junto a você.

    🚗 Vale Transporte ou Estacionamento no local - você poderá vir para o escritório de transporte comum ou com seu veículo próprio tendo cobertura de 50% do estacionamento.

    💳 Vale Refeição - disponibilizado no cartão Sodexo.

    💳 Vale Alimentação - disponibilizado no cartão Sodexo.

    🏥 Assistência Médica e Odontológica - temos parceria com a SulAmérica, abrangência nacional, sem desconto de mensalidade para você e seus dependentes, apenas com coparticipação.

    🧡 Seguro de Vida - também SulAmérica para você e sua família, com toda assistência em caso de acidente ou falecimento.

    🦾Convênio Academia - por aqui colocamos a saúde em primeiro lugar, por isso temos parceria com o Gympass, que oferece diversas soluções de bem-estar para o nosso time!

    👶🏻 Auxílio Creche ou Acompanhante - as mamães que fazem parte do nosso time contam com auxilio creche ou reembolso de babá para seus filhos.

    💲 Cooperativa de Crédito - temos a parceria com a Barracred para oferecer a você empréstimos consignados com juros abaixo dos praticados pelo mercado.

    🛒 Clube de descontos - você terá acesso a Allya, que conecta mais de 30.000 estabelecimentos, oferecendo benefícios e vantagens financeiras, tudo de forma personalizada em uma única plataforma.

    📈 Previdência Privada - para você investir no seu futuro com a Raizprev.

    💰Bônus Anual - valorizamos o potencial das NOSsas pessoas, por isso reconhecemos anualmente o atingimento de metas.

    🤝Parceria com SESC - visando o seu bem estar e de seus familiares, com atuação em todo o Brasil!

    👩👨 Licença Maternidade e Paternidade - aqui a nossa licença maternidade é estendida para 6 meses e a paternidade para 20 dias.

    📚 Educa - NOSsa plataforma de universidade corporativa, voltada para o desenvolvimento e capacitação das NOSsas pessoas e clientes.

    • 💬 Carreira além da hierarquia - nosso plano de desenvolvimento de carreira é claro para as NOSsas pessoas, por isso contamos com uma cultura de feedbacks e 1:1's frequentes!

    Etapas do processo

    • Etapa 1: Cadastro1Cadastro
    • Etapa 2: Triagem2Triagem
    • Etapa 3: Entrevista Online com A&S3Entrevista Online com A&S
    • Etapa 4: Entrevista Online com Gestor4Entrevista Online com Gestor
    • Etapa 5: Oferta ao candidato5Oferta ao candidato
    • Etapa 6: Contratação6Contratação

    quem somos?

    É mais fácil viver quando estamos juntos de quem importa, construindo relações sólidas e verdadeiras. Por isso, unimos a Shell Select e a OXXO para criar o Grupo Nós, que já nasce como potência no mercado de proximidade e conveniência no Brasil.

    Contamos com a experiência e conhecimento da Raízen e Femsa para garantir expansão rápida e sustentável, e estar sempre por perto para facilitar a vida de colaboradores, clientes, acionistas e toda sociedade. Afinal, nossa missão é uma só: aproximar e facilitar para uma vida melhor.

    Conheça Nossa Marcas

    • Shell Select: com mais de mil unidades pelo Brasil, nossa rede de conveniência nos postos Shell, se destaca com produtos e serviços que atendem as missões de compras dos consumidores e oferece operação simplificada com alta rentabilidade para o franqueado. Em 2018, uma nova geração da loja foi lançada, propondo uma nova experiência ao consumidor e um formato de operação ainda mais rentável ao franqueado.
    • OXXO: criada em 1978, hoje são mais de 18 mil lojas de proximidade espalhadas pela América Latina. Ao longo dos anos, encantou o público e se destacou no mercado graças à qualidade do serviço, consistente estratégia de expansão e profissionalização na operação de lojas. Em 2017, fomos nomeados a marca de varejo mais valiosa do México pela Interbrand.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3997916519,https://br.linkedin.com/jobs/view/data-scientist-pleno-at-banco-bradesco-3997916519?position=7&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=aBvXbbOPV9vg4rNz4OaeBw%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST PLENO,Banco Bradesco,"Osasco, São Paulo, Brazil","Data Scientist Pleno + + + + +Sobre o Bradesco + + + + +Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação. + +E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade. + + + + +Responsabilidades e atribuições + + + + +O que é o nosso time de Crédito? + + + + +O Departamento de Políticas de Crédito é responsável por desenvolver, implementar e monitorar as políticas de crédito da Organização Bradesco, focando em produtos parcelados. Sua missão é assegurar que as decisões de crédito sejam tomadas com qualidade, agilidade e segurança, alinhadas às normas e políticas internas. Atuam em conjunto com os Gerentes/Segmentos e demais envolvidos para garantir o uso adequado dos sistemas, rotinas e informações, desde a concessão ou renovação de crédito até a efetiva liquidação das operações. + +Modelo de trabalho: híbrido + +Local: Osasco, SP + + + + +Como será seu dia a dia? + + + + +Sendo Data Scientist Pleno suas principais atividades serão: + + + + +Desenvolver e ajustar novas políticas de crédito com base em análises de dados; +Realizar estudos e investigações sobre o perfil dos clientes para embasar decisões estratégicas; +Acompanhar o portfólio de crédito, incluindo inadimplência, taxa de aprovação e performance da carteira. + + + + +Requisitos e Qualificações + + + + +O que você precisa ter ou saber? + + + + +Vivência com as linguagens de programação: SAS, SQL, Python; +Experiência na manipulação de grandes bases de dados; +Conhecimento do ciclo de crédito; +Experiência com CRM para extração e análise de informações de clientes; +Familiaridade com o desenvolvimento de parametrizações para produtos financeiros + + + + +O que nós oferecemos + + + + +No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras. + + + + +PLR ou Bônus: Conforme a elegibilidade de cargo* +Convênio Médico +Convênio Odontológico +Seguro de Vida +Vale Alimentação +Vale Refeição +Total Pass +13º Cesta Alimentação +Vale Transporte (adesão opcional) +Descontos em produtos e serviços em empresas parceiras +Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco) +Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida +Unibrad: Universidade Corporativa Bradesco +Isenção de Tarifas: condições especiais em diversos produtos e serviços +Auxílio Creche ou Babá +Licença Paternidade estendida de 20 dias +Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto + + + + +Saiba mais sobre o Bradesco + +Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/. + +Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/. + +Show more ","
    + + + + + +
    +
    +

    Data Scientist Pleno


    Sobre o Bradesco


    Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação.

    E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade.


    Responsabilidades e atribuições


    O que é o nosso time de Crédito?


    O Departamento de Políticas de Crédito é responsável por desenvolver, implementar e monitorar as políticas de crédito da Organização Bradesco, focando em produtos parcelados. Sua missão é assegurar que as decisões de crédito sejam tomadas com qualidade, agilidade e segurança, alinhadas às normas e políticas internas. Atuam em conjunto com os Gerentes/Segmentos e demais envolvidos para garantir o uso adequado dos sistemas, rotinas e informações, desde a concessão ou renovação de crédito até a efetiva liquidação das operações.

    Modelo de trabalho: híbrido

    Local: Osasco, SP


    Como será seu dia a dia?


    Sendo Data Scientist Pleno suas principais atividades serão:


    • Desenvolver e ajustar novas políticas de crédito com base em análises de dados;
    • Realizar estudos e investigações sobre o perfil dos clientes para embasar decisões estratégicas;
    • Acompanhar o portfólio de crédito, incluindo inadimplência, taxa de aprovação e performance da carteira.


    Requisitos e Qualificações


    O que você precisa ter ou saber?


    • Vivência com as linguagens de programação: SAS, SQL, Python;
    • Experiência na manipulação de grandes bases de dados;
    • Conhecimento do ciclo de crédito;
    • Experiência com CRM para extração e análise de informações de clientes;
    • Familiaridade com o desenvolvimento de parametrizações para produtos financeiros


    O que nós oferecemos


    No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras.


    • PLR ou Bônus: Conforme a elegibilidade de cargo*
    • Convênio Médico
    • Convênio Odontológico
    • Seguro de Vida
    • Vale Alimentação
    • Vale Refeição
    • Total Pass
    • 13º Cesta Alimentação
    • Vale Transporte (adesão opcional)
    • Descontos em produtos e serviços em empresas parceiras
    • Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
    • Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
    • Unibrad: Universidade Corporativa Bradesco
    • Isenção de Tarifas: condições especiais em diversos produtos e serviços
    • Auxílio Creche ou Babá
    • Licença Paternidade estendida de 20 dias
    • Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto


    Saiba mais sobre o Bradesco

    Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/.

    Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3974364411,https://br.linkedin.com/jobs/view/data-scientist-pleno-at-banco-bradesco-3974364411?position=8&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=7IERNM7mTytgeiacO3K2Lg%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST PLENO,Banco Bradesco,"Osasco, São Paulo, Brazil","Sobre o Bradesco + +Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação. + +E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade. + +Responsabilidades e atribuições + +A área é responsável pelo desenvolvimento e monitoramento de modelos estatísticos e estudos analíticos que subsidiam as ações e estratégias de recuperação de créditos. + +Acreditamos em um ambiente colaborativo e que propicia o desenvolvimento dos profissionais. + +Modelo de trabalho : Híbrido, sendo 2 dias na semana presencial + +Local: Cidade de Deus, Osasco + +Como será seu dia a dia? + +Estamos ampliando o uso de modelagem e analytics para gerar ainda mais valor às ações e estratégias de recuperação de créditos. Nosso desafio passa por atuar de forma ágil com as demais estruturas e cada vez mais fazer uso de machine learning, inteligência artificial generativa e atuar em cloud. + +As principais atividades serão: + + + +Desenvolver estudos analíticos que tragam insumos para aumentar a recuperação de créditos de clientes inadimplentes. Estes estudos dependem de grande interação com as áreas de negócio para garantir que os entregáveis considerem todas as frentes envolvidas e agreguem valor para o Banco; +Desenvolver modelos estatísticos de cobrança (collection score e recovery score) utilizando as mais robustas técnicas quantitativas e os principais ambientes/ferramentas analíticas disponíveis. Estes modelos trazem diversos insights para as ações e estratégias de recuperação de créditos; +Relacionamento com as demais áreas do departamento e interação com os segmentos de negócio para entender como a atividade se insere no todo e otimizar a atuação; +Propor a utilização de novas fontes de informação e bases de dados mais tempestivas que possam alavancar os resultados dos modelos e dos estudos. Deve possuir familiaridade para navegar nos diversos ambientes analíticos e visão quantitativa para testar a geração de valor das novas informações no negócio; +Avaliar e monitorar os estudos e modelos desenvolvidos, com o intuito de garantir que sempre estejam aderentes. Em caso de descolamentos, deverá atuar para adequar a métrica ou propor uma nova metodologia. + + + +Requisitos e Qualificações + +O que você precisa ter ou saber? + + + +Formação em Estatística, Engenharias, Matemática e outros cursos de ciências exatas; +Habilidades avançadas com técnicas e ferramentas quantitativas como Regressão, Machine Learning, IA, Databricks, entre outros; +Conhecimento em geração de dados, lógica e linguagens de programação. + + + +Será um diferencial se você tiver: + + + +Conhecimento ou grande interesse em crédito e cobrança; +Domínio no emprego de técnicas quantitativas; +Flexibilidade e adaptabilidade a mudanças. + + + +O que nós oferecemos + +No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras. + + + +PLR ou Bônus: Conforme a elegibilidade de cargo* +Convênio Médico +Convênio Odontológico +Seguro de Vida +Vale Alimentação +Vale Refeição +Total Pass +13º Cesta Alimentação +Vale Transporte (adesão opcional) +Descontos em produtos e serviços em empresas parceiras +Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco) +Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida +Unibrad: Universidade Corporativa Bradesco +Isenção de Tarifas: condições especiais em diversos produtos e serviços +Auxílio Creche ou Babá +Licença Paternidade estendida de 20 dias +Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto +Auxílio para filho atípico* + + + +Saiba mais sobre o Bradesco + +Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ . + +Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +Show more ","
    + + + + + +
    +
    + Sobre o Bradesco

    Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação.

    E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade.

    Responsabilidades e atribuições

    A área é responsável pelo desenvolvimento e monitoramento de modelos estatísticos e estudos analíticos que subsidiam as ações e estratégias de recuperação de créditos.

    Acreditamos em um ambiente colaborativo e que propicia o desenvolvimento dos profissionais.

    Modelo de trabalho : Híbrido, sendo 2 dias na semana presencial

    Local: Cidade de Deus, Osasco

    Como será seu dia a dia?

    Estamos ampliando o uso de modelagem e analytics para gerar ainda mais valor às ações e estratégias de recuperação de créditos. Nosso desafio passa por atuar de forma ágil com as demais estruturas e cada vez mais fazer uso de machine learning, inteligência artificial generativa e atuar em cloud.

    As principais atividades serão:


    • Desenvolver estudos analíticos que tragam insumos para aumentar a recuperação de créditos de clientes inadimplentes. Estes estudos dependem de grande interação com as áreas de negócio para garantir que os entregáveis considerem todas as frentes envolvidas e agreguem valor para o Banco;
    • Desenvolver modelos estatísticos de cobrança (collection score e recovery score) utilizando as mais robustas técnicas quantitativas e os principais ambientes/ferramentas analíticas disponíveis. Estes modelos trazem diversos insights para as ações e estratégias de recuperação de créditos;
    • Relacionamento com as demais áreas do departamento e interação com os segmentos de negócio para entender como a atividade se insere no todo e otimizar a atuação;
    • Propor a utilização de novas fontes de informação e bases de dados mais tempestivas que possam alavancar os resultados dos modelos e dos estudos. Deve possuir familiaridade para navegar nos diversos ambientes analíticos e visão quantitativa para testar a geração de valor das novas informações no negócio;
    • Avaliar e monitorar os estudos e modelos desenvolvidos, com o intuito de garantir que sempre estejam aderentes. Em caso de descolamentos, deverá atuar para adequar a métrica ou propor uma nova metodologia.


    Requisitos e Qualificações

    O que você precisa ter ou saber?


    • Formação em Estatística, Engenharias, Matemática e outros cursos de ciências exatas;
    • Habilidades avançadas com técnicas e ferramentas quantitativas como Regressão, Machine Learning, IA, Databricks, entre outros;
    • Conhecimento em geração de dados, lógica e linguagens de programação.


    Será um diferencial se você tiver:


    • Conhecimento ou grande interesse em crédito e cobrança;
    • Domínio no emprego de técnicas quantitativas;
    • Flexibilidade e adaptabilidade a mudanças.


    O que nós oferecemos

    No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras.


    • PLR ou Bônus: Conforme a elegibilidade de cargo*
    • Convênio Médico
    • Convênio Odontológico
    • Seguro de Vida
    • Vale Alimentação
    • Vale Refeição
    • Total Pass
    • 13º Cesta Alimentação
    • Vale Transporte (adesão opcional)
    • Descontos em produtos e serviços em empresas parceiras
    • Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
    • Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
    • Unibrad: Universidade Corporativa Bradesco
    • Isenção de Tarifas: condições especiais em diversos produtos e serviços
    • Auxílio Creche ou Babá
    • Licença Paternidade estendida de 20 dias
    • Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto
    • Auxílio para filho atípico*


    Saiba mais sobre o Bradesco

    Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ .

    Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-03,[] +3996797113,https://br.linkedin.com/jobs/view/data-scientist-specialist-at-banco-bradesco-3996797113?position=9&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=JvTwE%2FiLj78%2Fj%2Flk4lD8ew%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST SPECIALIST,Banco Bradesco,"Osasco, São Paulo, Brazil","req58963 - DATA SCIENTIST SPECIALIST + +Sobre o Bradesco + +Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação. + +E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade. + +Responsabilidades e atribuições + +A área em que atuará é responsável pelo desenvolvimento e monitoramento de modelos estatísticos/estudos analíticos que subsidiam as ações e estratégias de recuperação de créditos. + +Esta posição terá reporte direto ao Gerente SR da área e terá uma atuação estratégica na equipe, sendo um profissional que facilitará a atuação das demais pessoas da equipe. + +Modelo de trabalho : Híbrido (3 vezes remoto e 2 vezes presencial) + +Local: Osasco/SP + +Como será seu dia a dia? + +Estamos ampliando o uso de modelagem e analytics para gerar ainda mais valor às ações e estratégias de recuperação de créditos. Nosso desafio passa por atuar de forma ágil com as demais estruturas e cada vez mais fazer uso de machine learning, inteligência artificial generativa e atuar em cloud. + +As principais atividades são: + + + +Desenvolvimento de modelos de machine learning; +Propor métricas de acompanhamento e reponderação dos modelos de machine learning; +Atuar de forma cross junto às outras estruturas e ser um facilitador para o desenvolvimento de modelos de machine learning em cloud; +Propor modelos e estudos analíticos que agreguem valor aos indicadores de cobrança acompanhados no departamento; +Participar de salas ágeis com outras equipes discutindo demandas estratégicas. + + + +Requisitos e Qualificações + +O que você precisa ter ou saber? + + + +Graduação em Estatística, Engenharia, Matemática e outros cursos de ciências exatas com pós-graduação em áreas correlatas +Domínio em Phyton, PySpark, SAS, Databricks, Cloud etc.; +Ter experiência anterior com modelos de machine learning em áreas de crédito (concessão, recuperação, precificação etc.); +Habilidades com técnicas e ferramentas quantitativas (Regressão, Machine Learning, IA, Databricks, etc); +Geração de Dados e Interpretabilidade frente ao Negócio, Lógica e Linguagens de Programação; +Experiência na geração de valor a partir de dados (Cultura Data Driven); +Inglês é desejável para ler artigos e eventualmente participar de interações com fornecedores externos. + + + +O que nós oferecemos + +No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras. + + + +PLR ou Bônus: Conforme a elegibilidade de cargo* +Convênio Médico +Convênio Odontológico +Seguro de Vida +Vale Alimentação +Vale Refeição +Total Pass +13º Cesta Alimentação +Vale Transporte (adesão opcional) +Descontos em produtos e serviços em empresas parceiras +Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco) +Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida +Unibrad: Universidade Corporativa Bradesco +Isenção de Tarifas: condições especiais em diversos produtos e serviços +Auxílio Creche ou Babá +Licença Paternidade estendida de 20 dias +Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto +Auxílio para filho atípico* + + + +Saiba mais sobre o Bradesco + +Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ . + +Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ +Show more ","
    + + + + + +
    +
    + req58963 - DATA SCIENTIST SPECIALIST

     Sobre o Bradesco

    Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação.

    E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade.

    Responsabilidades e atribuições

    A área em que atuará é responsável pelo desenvolvimento e monitoramento de modelos estatísticos/estudos analíticos que subsidiam as ações e estratégias de recuperação de créditos.

    Esta posição terá reporte direto ao Gerente SR da área e terá uma atuação estratégica na equipe, sendo um profissional que facilitará a atuação das demais pessoas da equipe.

    Modelo de trabalho : Híbrido (3 vezes remoto e 2 vezes presencial)

    Local: Osasco/SP

    Como será seu dia a dia?

    Estamos ampliando o uso de modelagem e analytics para gerar ainda mais valor às ações e estratégias de recuperação de créditos. Nosso desafio passa por atuar de forma ágil com as demais estruturas e cada vez mais fazer uso de machine learning, inteligência artificial generativa e atuar em cloud.

    As principais atividades são:


    • Desenvolvimento de modelos de machine learning;
    • Propor métricas de acompanhamento e reponderação dos modelos de machine learning;
    • Atuar de forma cross junto às outras estruturas e ser um facilitador para o desenvolvimento de modelos de machine learning em cloud;
    • Propor modelos e estudos analíticos que agreguem valor aos indicadores de cobrança acompanhados no departamento;
    • Participar de salas ágeis com outras equipes discutindo demandas estratégicas.


    Requisitos e Qualificações

    O que você precisa ter ou saber?


    • Graduação em Estatística, Engenharia, Matemática e outros cursos de ciências exatas com pós-graduação em áreas correlatas
    • Domínio em Phyton, PySpark, SAS, Databricks, Cloud etc.;
    • Ter experiência anterior com modelos de machine learning em áreas de crédito (concessão, recuperação, precificação etc.);
    • Habilidades com técnicas e ferramentas quantitativas (Regressão, Machine Learning, IA, Databricks, etc);
    • Geração de Dados e Interpretabilidade frente ao Negócio, Lógica e Linguagens de Programação;
    • Experiência na geração de valor a partir de dados (Cultura Data Driven);
    • Inglês é desejável para ler artigos e eventualmente participar de interações com fornecedores externos.


    O que nós oferecemos

    No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras.


    • PLR ou Bônus: Conforme a elegibilidade de cargo*
    • Convênio Médico
    • Convênio Odontológico
    • Seguro de Vida
    • Vale Alimentação
    • Vale Refeição
    • Total Pass
    • 13º Cesta Alimentação
    • Vale Transporte (adesão opcional)
    • Descontos em produtos e serviços em empresas parceiras
    • Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
    • Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
    • Unibrad: Universidade Corporativa Bradesco
    • Isenção de Tarifas: condições especiais em diversos produtos e serviços
    • Auxílio Creche ou Babá
    • Licença Paternidade estendida de 20 dias
    • Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto
    • Auxílio para filho atípico*


    Saiba mais sobre o Bradesco

    Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ .

    Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +3997339058,https://br.linkedin.com/jobs/view/data-scientist-ii-at-banco-bradesco-3997339058?position=12&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=WPgBpofG%2F0wO5cVkxdvMdQ%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST II,Banco Bradesco,"Osasco, São Paulo, Brazil","Sobre o Bradesco + +Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação. + +E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade. + +Responsabilidades e atribuições + +O que é o nosso time de Crédito? + +O time de Crédito possui como missão garantir uma gestão eficiente na concessão e manutenção de crédito, que assegure rentabilidade e o crescimento com solidez dos ativos da Organização. + +Modelo de trabalho : Híbrido – 2x presencial (qua e qui). + +Local: Osasco/ SP. + +Como será seu dia a dia? + +Sendo DATA SCIENTIST II suas principais atividades serão: + + + +Realizar projeções de crédito através de modelos de series temporais; +Aplicar modelos estatísticos para geração de insights; +Realizar segmentações e Análise de Cluster; +Manipular base de Dados; +Realizar avaliação de soluções analíticas internas e externas do mercado; +Direcionar originação de maneira a respeitar as concentrações máximas das carteiras; +Definir as fronteiras Hard/Soft junto a área de Riscos e apresentar os limites definidos aos segmentos; +Desenvolver clusters a fim de buscar o perfil ideal; +Disparar, junto a área de Riscos, alertas aos segmentos sobre a aproximação aos limites definidos. + + + +Requisitos e Qualificações + +O que você precisa ter ou saber? + + + +Formação em Estatística, Matemática Engenharia e correlatos; +Vivência com programação em linguagem Python e SQL; +PPT avançado; +Vivência com modelagem estatística; +Vivência com políticas de crédito e gestão de portfólio; +Vivência com manipulação de dados, geração de insights e segmentação clientes; +Vivência com risco de crédito; +Inglês intermediário. + + + +Será um diferencial se você tiver: + + + +Conhecimento em SAS. + + + +O que nós oferecemos + +No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras. + + + +PLR ou Bônus: Conforme a elegibilidade de cargo* +Convênio Médico +Convênio Odontológico +Seguro de Vida +Vale Alimentação +Vale Refeição +Total Pass +13º Cesta Alimentação +Vale Transporte (adesão opcional) +Descontos em produtos e serviços em empresas parceiras +Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco) +Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida +Unibrad: Universidade Corporativa Bradesco +Isenção de Tarifas: condições especiais em diversos produtos e serviços +Auxílio Creche ou Babá +Licença Paternidade estendida de 20 dias +Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto + + + +Saiba mais sobre o Bradesco + +Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ . + +Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +Show more ","
    + + + + + +
    +
    + Sobre o Bradesco

    Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação.

    E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade.

    Responsabilidades e atribuições

    O que é o nosso time de Crédito?

    O time de Crédito possui como missão garantir uma gestão eficiente na concessão e manutenção de crédito, que assegure rentabilidade e o crescimento com solidez dos ativos da Organização.

    Modelo de trabalho : Híbrido – 2x presencial (qua e qui).

    Local: Osasco/ SP.

    Como será seu dia a dia?

    Sendo DATA SCIENTIST II suas principais atividades serão:


    • Realizar projeções de crédito através de modelos de series temporais;
    • Aplicar modelos estatísticos para geração de insights;
    • Realizar segmentações e Análise de Cluster;
    • Manipular base de Dados;
    • Realizar avaliação de soluções analíticas internas e externas do mercado;
    • Direcionar originação de maneira a respeitar as concentrações máximas das carteiras;
    • Definir as fronteiras Hard/Soft junto a área de Riscos e apresentar os limites definidos aos segmentos;
    • Desenvolver clusters a fim de buscar o perfil ideal;
    • Disparar, junto a área de Riscos, alertas aos segmentos sobre a aproximação aos limites definidos.


    Requisitos e Qualificações

    O que você precisa ter ou saber?


    • Formação em Estatística, Matemática Engenharia e correlatos;
    • Vivência com programação em linguagem Python e SQL;
    • PPT avançado;
    • Vivência com modelagem estatística;
    • Vivência com políticas de crédito e gestão de portfólio;
    • Vivência com manipulação de dados, geração de insights e segmentação clientes;
    • Vivência com risco de crédito;
    • Inglês intermediário.


    Será um diferencial se você tiver:


    • Conhecimento em SAS.


    O que nós oferecemos

    No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras.


    • PLR ou Bônus: Conforme a elegibilidade de cargo*
    • Convênio Médico
    • Convênio Odontológico
    • Seguro de Vida
    • Vale Alimentação
    • Vale Refeição
    • Total Pass
    • 13º Cesta Alimentação
    • Vale Transporte (adesão opcional)
    • Descontos em produtos e serviços em empresas parceiras
    • Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
    • Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
    • Unibrad: Universidade Corporativa Bradesco
    • Isenção de Tarifas: condições especiais em diversos produtos e serviços
    • Auxílio Creche ou Babá
    • Licença Paternidade estendida de 20 dias
    • Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto


    Saiba mais sobre o Bradesco

    Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ .

    Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3870307101,https://br.linkedin.com/jobs/view/analista-de-ia-cientista-de-dados-dados-at-btg-pactual-3870307101?position=13&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=vgvjuVLw179Q80e5lfSCiw%3D%3D&trk=public_jobs_jserp-result_search-card,Analista de IA - Cientista de Dados | Dados,BTG Pactual,Greater São Paulo Area,"No Seu Dia-a-dia + + +Você fará parte do time de Artificial Intelligence & Data Science, junto à equipe de Data Analytics do banco, atuando no desenvolvimento e construção de modelos de Machine Learning e de produtos de Inteligência Artificial no geral; +Irá construir soluções de AI para diversas áreas do banco a partir de dados, discutindo com as áreas de negócio sobre as suas necessidades, viabilidade dos projetos e oportunidades para o banco; +Terá autonomia para escolher as tecnologias e metodologias necessárias, justificando as vantagens e desvantagens; +Deverá formular hipóteses para provar conceitos e realizar experimentações através de modelos e métricas adequados para cada cenário; +Participará de atividades dentro do time para compartilhar conhecimento e discutir técnicas, problemas e soluções. Espera-se também que seja referência para outras áreas do banco que precisarem de apoio. + + +Esperamos De Você + + +Disponibilidade para atuar de forma híbrida na Faria Lima em São Paulo; +Formação superior completa, preferencialmente em engenharia, ciências da computação, estatística ou áreas relacionadas; +Experiência com linguagens de programação como Python, SQL; +Conhecimento de plataformas de cloud (AWS, GCP) é desejável; +Experiências com projetos de ML/AI, de prototipagem a entrega do modelo; +Experiência com produtização e monitoramento é desejável; +Experiência sobre estatística descritiva e testes de hipótese; +Experiência com modelos de Deep Learning e utilização dos frameworks de ML (PyTorch, Tensorflow); +Experiência com projetos de linguagem é desejável; +Experiência com projetos de visão computacional é desejável; +Experiência com projetos de IA Generativa é desejável; +Raciocínio lógico, capacidade analítica e criatividade para encontrar soluções; +Boa comunicação e habilidades para argumentação técnica e de negócios; + + +Diferenciais + + +Mestrado e Doutorado são diferenciais; +Conhecimento de ferramentas de big data (Spark, Airflow), devops (Docker, CI/CD, etc) e MLops são diferenciais. + + +Remuneração e Benefícios + + +Salário; +Participação nos Lucros e Resultados (PLR); +Auxílio Alimentação e Refeição; +Seguro Saúde e Odontológico; +Auxílio Creche/Babá; +Vale Transporte; +Gympass; +Programa de Apoio Pessoal (EAP) Planos por adesão como Previdência Privada e Seguro de Vida. +Show more ","
    + + + + + +
    +
    + No Seu Dia-a-dia

    • Você fará parte do time de Artificial Intelligence & Data Science, junto à equipe de Data Analytics do banco, atuando no desenvolvimento e construção de modelos de Machine Learning e de produtos de Inteligência Artificial no geral;
    • Irá construir soluções de AI para diversas áreas do banco a partir de dados, discutindo com as áreas de negócio sobre as suas necessidades, viabilidade dos projetos e oportunidades para o banco;
    • Terá autonomia para escolher as tecnologias e metodologias necessárias, justificando as vantagens e desvantagens;
    • Deverá formular hipóteses para provar conceitos e realizar experimentações através de modelos e métricas adequados para cada cenário;
    • Participará de atividades dentro do time para compartilhar conhecimento e discutir técnicas, problemas e soluções. Espera-se também que seja referência para outras áreas do banco que precisarem de apoio.

    Esperamos De Você

    • Disponibilidade para atuar de forma híbrida na Faria Lima em São Paulo;
    • Formação superior completa, preferencialmente em engenharia, ciências da computação, estatística ou áreas relacionadas;
    • Experiência com linguagens de programação como Python, SQL;
    • Conhecimento de plataformas de cloud (AWS, GCP) é desejável;
    • Experiências com projetos de ML/AI, de prototipagem a entrega do modelo;
    • Experiência com produtização e monitoramento é desejável;
    • Experiência sobre estatística descritiva e testes de hipótese;
    • Experiência com modelos de Deep Learning e utilização dos frameworks de ML (PyTorch, Tensorflow);
    • Experiência com projetos de linguagem é desejável;
    • Experiência com projetos de visão computacional é desejável;
    • Experiência com projetos de IA Generativa é desejável;
    • Raciocínio lógico, capacidade analítica e criatividade para encontrar soluções;
    • Boa comunicação e habilidades para argumentação técnica e de negócios;

    Diferenciais

    • Mestrado e Doutorado são diferenciais;
    • Conhecimento de ferramentas de big data (Spark, Airflow), devops (Docker, CI/CD, etc) e MLops são diferenciais.

    Remuneração e Benefícios

    • Salário;
    • Participação nos Lucros e Resultados (PLR);
    • Auxílio Alimentação e Refeição;
    • Seguro Saúde e Odontológico;
    • Auxílio Creche/Babá;
    • Vale Transporte;
    • Gympass;
    • Programa de Apoio Pessoal (EAP) Planos por adesão como Previdência Privada e Seguro de Vida.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +3933897487,https://br.linkedin.com/jobs/view/cientista-de-dados-sr-at-banco-pan-3933897487?position=14&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=pmFwISRG6R26nhmB9TMunw%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de Dados Sr.,Banco PAN,"São Paulo, São Paulo, Brazil","Somos o PAN + +Ágeis, flexíveis e criativos, exploramos possibilidades com disposição e desejo de fazer acontecer. Sempre prontos para encarar novos desafios, nutrimos líderes que, além de ter garra, são abertos e empáticos, veem na proximidade das relações, o elo entre cada um. + +Nossa missão, se faz cumprida quando transformamos a vida dos outros através dos nossos conhecimentos. Nossos pilares de cultura, reforçam nossa postura idealizadora e com desejo de fazer acontecer: T rabalho em equipe, O usadia empreendedora e P rotagonismo com profundidade. + +Dominamos nossos processos e trazemos melhorias para quem deseja ter uma vida financeira mais inteligente. + +Principais desafios: + + +Desenvolver modelos preditivos para tomada de decisão da área de crédito (application score, behaviour score); +Validar modelos estatísticos desenvolvidos por outras áreas de modelagem do banco através da replicabilidade dos dados e crítica das metodologias empregadas; +Conduzir análises para identificação dos principais problemas de negócio (crédito e fraude) e gerar soluções data-driven; +Explorar os diversos conjuntos de dados e informações, buscando melhorias para os modelos e oportunidades para o negócio; +Aprimoramento dos painéis de monitoramentos de modelos e indicadores de crédito para recomendar melhorias nos processos decisórios existentes; +Atuar no processo de deploy de serviços preditivos - MLOps. + + +Quais as principais competências para a posição? + + +Formação acadêmica em cursos de exatas (Matemática, Física, Estatística e Engenharias); +Conhecimento de ferramentas computacionais de análise de dados (Python, SQL, Office, Tableau, AWS, GitHub , etc); +Conhecimento sobre técnicas estatísticas de Machine Learning para problemas de clusterização, regressão e classificação; +Perfil analítico e com foco na solução de problemas complexos. + + +Modelo de atuação: Híbrido (4 dias presencial no escritório e 1 dia de home office) + +Benefícios do PAN: + + +Bônus / PLR 🤑 +Vale Refeição 🍔 +Vale Alimentação 🍝 +13º de Vale Alimentação 🤌 +Convênio Médico (internação em apartamento para titular e dependentes) 🏥 +Convênio Odonto/Ortodôntico 😁 +Ambulatório Médico no escritório 🚑 +Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 🩺 +Seguro de Vida ❤ +Descontos em mais de 10 mil farmácias 💊 +4 Sessões de psicoterapia por mês 🤝 +Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 👨‍🍼🤱 +Auxílio Creche / Babá 🎒 +AcomPANha (programa de acompanhamento para gestantes) 🫃🤰 +Gympass/Totalpass 💪 +Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 🦻🦽 +Day Off Aniversário 🎉 +Day Off Tempo de Casa 🕛 +Programa de reconhecimento por tempo de casa 🏆 +Programas de desenvolvimento 📚 +Gamificação em certificações e desenvolvimento (BitPANs) 🎫 +Massagem e Auriculoterapia 💆‍♀️💆‍♂️ +Salão de beleza no escritório 💇‍♂️💅 +PAE (Orientação Jurídica, Financeira, Psicológica e Social) 🧑‍🎓 +Serviço Social 🤗 +Portal de descontos em diversos segmentos (Allya) 🤑 +Campanha de vacinação (colaborador e dependente) 💉 +Facilitação no financiamento de veículos 🚗 +Cartão de crédito PAN com limite diferenciado 💳 +Vale Transporte (desconto de apenas 4%) 🚆 +Assistência Funeral 🤍 + + +Assim como todas as nossas vagas, essa também é destinada à diversidade e inclusão. Independentemente de qualquer fator, perfil ou característica, Eleve sua carreira a PAN ! + +Para conhecer mais sobre nossos benefícios e cultura, acesse o Trabalhe Conosco: + +https://www.bancopan.com.br/trabalhe-conosco/ + +Acesse também nossa página na Glassdoor e veja nossas avaliações: + +https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-Banco-PAN-EI_IE1184444.13,22.ht +Show more ","
    + + + + + +
    +
    + Somos o PAN

    Ágeis, flexíveis e criativos, exploramos possibilidades com disposição e desejo de fazer acontecer. Sempre prontos para encarar novos desafios, nutrimos líderes que, além de ter garra, são abertos e empáticos, veem na proximidade das relações, o elo entre cada um.

    Nossa missão, se faz cumprida quando transformamos a vida dos outros através dos nossos conhecimentos. Nossos pilares de cultura, reforçam nossa postura idealizadora e com desejo de fazer acontecer: T rabalho em equipe, O usadia empreendedora e P rotagonismo com profundidade.

    Dominamos nossos processos e trazemos melhorias para quem deseja ter uma vida financeira mais inteligente.

    Principais desafios:

    • Desenvolver modelos preditivos para tomada de decisão da área de crédito (application score, behaviour score);
    • Validar modelos estatísticos desenvolvidos por outras áreas de modelagem do banco através da replicabilidade dos dados e crítica das metodologias empregadas;
    • Conduzir análises para identificação dos principais problemas de negócio (crédito e fraude) e gerar soluções data-driven;
    • Explorar os diversos conjuntos de dados e informações, buscando melhorias para os modelos e oportunidades para o negócio;
    • Aprimoramento dos painéis de monitoramentos de modelos e indicadores de crédito para recomendar melhorias nos processos decisórios existentes;
    • Atuar no processo de deploy de serviços preditivos - MLOps.

    Quais as principais competências para a posição?

    • Formação acadêmica em cursos de exatas (Matemática, Física, Estatística e Engenharias);
    • Conhecimento de ferramentas computacionais de análise de dados (Python, SQL, Office, Tableau, AWS, GitHub , etc);
    • Conhecimento sobre técnicas estatísticas de Machine Learning para problemas de clusterização, regressão e classificação;
    • Perfil analítico e com foco na solução de problemas complexos.

    Modelo de atuação: Híbrido (4 dias presencial no escritório e 1 dia de home office)

    Benefícios do PAN:

    • Bônus / PLR 🤑
    • Vale Refeição 🍔
    • Vale Alimentação 🍝
    • 13º de Vale Alimentação 🤌
    • Convênio Médico (internação em apartamento para titular e dependentes) 🏥
    • Convênio Odonto/Ortodôntico 😁
    • Ambulatório Médico no escritório 🚑
    • Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 🩺
    • Seguro de Vida ❤
    • Descontos em mais de 10 mil farmácias 💊
    • 4 Sessões de psicoterapia por mês 🤝
    • Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 👨‍🍼🤱
    • Auxílio Creche / Babá 🎒
    • AcomPANha (programa de acompanhamento para gestantes) 🫃🤰
    • Gympass/Totalpass 💪
    • Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 🦻🦽
    • Day Off Aniversário 🎉
    • Day Off Tempo de Casa 🕛
    • Programa de reconhecimento por tempo de casa 🏆
    • Programas de desenvolvimento 📚
    • Gamificação em certificações e desenvolvimento (BitPANs) 🎫
    • Massagem e Auriculoterapia 💆‍♀️💆‍♂️
    • Salão de beleza no escritório 💇‍♂️💅
    • PAE (Orientação Jurídica, Financeira, Psicológica e Social) 🧑‍🎓
    • Serviço Social 🤗
    • Portal de descontos em diversos segmentos (Allya) 🤑
    • Campanha de vacinação (colaborador e dependente) 💉
    • Facilitação no financiamento de veículos 🚗
    • Cartão de crédito PAN com limite diferenciado 💳
    • Vale Transporte (desconto de apenas 4%) 🚆
    • Assistência Funeral 🤍

    Assim como todas as nossas vagas, essa também é destinada à diversidade e inclusão. Independentemente de qualquer fator, perfil ou característica, Eleve sua carreira a PAN !

    Para conhecer mais sobre nossos benefícios e cultura, acesse o Trabalhe Conosco:

    https://www.bancopan.com.br/trabalhe-conosco/

    Acesse também nossa página na Glassdoor e veja nossas avaliações:

    https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-Banco-PAN-EI_IE1184444.13,22.ht +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +3985094065,https://br.linkedin.com/jobs/view/cientista-de-dados-sr-at-banco-pan-3985094065?position=15&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=O7rDRK8anp4C25XkXMjPCg%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de Dados Sr.,Banco PAN,Greater São Paulo Area,"Sobre a vaga + + + + + +Somos o PA + + + + +N +Ágeis, flexíveis e criativos, exploramos possibilidades com disposição e desejo de fazer acontecer. Sempre prontos para encarar novos desafios, nutrimos líderes que, além de ter garra, são abertos e empáticos, veem na proximidade das relações, o elo entre cada u + + + + +m. +Nossa missão, se faz cumprida quando transformamos a vida dos outros através dos nossos conhecimentos. Nossos pilares de cultura, reforçam nossa postura idealizadora e com desejo de fazer acontecer: T rabalho em equipe, O usadia empreendedora e P rotagonismo com profundida + + + + +de. +Dominamos nossos processos e trazemos melhorias para quem deseja ter uma vida financeira mais intelige + + + + +nte. +Principais desa + + + + +fios: +Desenvolver modelos preditivos para tomada de decisão da área de crédito (application score, behaviour s +core);Validar modelos estatísticos desenvolvidos por outras áreas de modelagem do banco através da replicabilidade dos dados e crítica das metodologias empre +gadas;Conduzir análises para identificação dos principais problemas de negócio (crédito e fraude) e gerar soluções data-d +riven;Explorar os diversos conjuntos de dados e informações, buscando melhorias para os modelos e oportunidades para o ne +gócio;Aprimoramento dos painéis de monitoramentos de modelos e indicadores de crédito para recomendar melhorias nos processos decisórios exist +entes;Atuar no processo de deploy de serviços preditivos - + + + + +MLOps.Quais as principais competências para a po + + + + +sição? +Formação acadêmica em cursos de exatas (Matemática, Física, Estatística e Engenh +arias);Conhecimento de ferramentas computacionais de análise de dados (Python, SQL, Office, Tableau, AWS, GitHub +, etc);Conhecimento sobre técnicas estatísticas de Machine Learning para problemas de clusterização, regressão e classif +icação;Perfil analítico e com foco na solução de problemas com + + + + +plexos.Modelo de atuação: Híbrido (4 dias presencial no escritório e 1 dia de home + + + + +office) +Benefícios + + + + +do PAN: +Bônus +/ PLR 🤑Vale Re +feição 🍔Vale Alime +ntação 🍝13º de Vale Alime +ntação 🤌Convênio Médico (internação em apartamento para titular e depend +entes) 🏥Convênio Odonto/Ortod +ôntico 😁Ambulatório Médico no escr +itório 🚑Telemedicina Dr. Alper (Einstein Conecta) ilim +itado. 🩺Seguro +de Vida ❤Descontos em mais de 10 mil far +mácias 💊4 Sessões de psicoterapia p +or mês 🤝Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias +) 👨‍🍼🤱Auxílio Creche +/ Babá 🎒AcomPANha (programa de acompanhamento para gestan +tes) 🫃🤰Gympass/Tot +alpass 💪Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiên +cia) 🦻🦽Day Off Anive +rsário 🎉Day Off Tempo d +e Casa 🕛Programa de reconhecimento por tempo d +e casa 🏆Programas de desenvolv +imento 📚Gamificação em certificações e desenvolvimento (Bi +tPANs) 🎫Massagem e Auriculoterapia ? +?‍♀️💆‍♂️Salão de beleza no escritóri +o 💇‍♂️💅PAE (Orientação Jurídica, Financeira, Psicológica e Soci +al) 🧑‍🎓Serviço +Social 🤗Portal de descontos em diversos segmentos ( +Allya) 🤑Campanha de vacinação (colaborador e depen +dente) 💉Facilitação no financiamento de ve +ículos 🚗Cartão de crédito PAN com limite difere +nciado 💳Vale Transporte (desconto de apen +as 4%) 🚆Assistência F + + + + +uneral 🤍 +Assim como todas as nossas vagas, essa também é destinada à diversidade e inclusão. Independentemente de qualquer fator, perfil ou característica, Eleve sua carrei + + + + +ra a PAN ! +Para conhecer mais sobre nossos benefícios e cultura, acesse o Trabal + + + + +he Conosco: +https://www.bancopan.com.br/traba + + + + +lhe-conosco/ +Acesse também nossa página na Glassdoor e veja nossa + + + + +s avaliações: +https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-Banco-PAN-EI_IE11 + +84444.13,22.ht +Show more ","
    + + + + + +
    +
    +

    Sobre a vaga



    Somos o PA


    N
    Ágeis, flexíveis e criativos, exploramos possibilidades com disposição e desejo de fazer acontecer. Sempre prontos para encarar novos desafios, nutrimos líderes que, além de ter garra, são abertos e empáticos, veem na proximidade das relações, o elo entre cada u


    m.
    Nossa missão, se faz cumprida quando transformamos a vida dos outros através dos nossos conhecimentos. Nossos pilares de cultura, reforçam nossa postura idealizadora e com desejo de fazer acontecer: T rabalho em equipe, O usadia empreendedora e P rotagonismo com profundida


    de.
    Dominamos nossos processos e trazemos melhorias para quem deseja ter uma vida financeira mais intelige


    nte.
    Principais desa


    • fios:
      Desenvolver modelos preditivos para tomada de decisão da área de crédito (application score, behaviour s
    • core);Validar modelos estatísticos desenvolvidos por outras áreas de modelagem do banco através da replicabilidade dos dados e crítica das metodologias empre
    • gadas;Conduzir análises para identificação dos principais problemas de negócio (crédito e fraude) e gerar soluções data-d
    • riven;Explorar os diversos conjuntos de dados e informações, buscando melhorias para os modelos e oportunidades para o ne
    • gócio;Aprimoramento dos painéis de monitoramentos de modelos e indicadores de crédito para recomendar melhorias nos processos decisórios exist
    • entes;Atuar no processo de deploy de serviços preditivos -


    MLOps.Quais as principais competências para a po


    • sição?
      Formação acadêmica em cursos de exatas (Matemática, Física, Estatística e Engenh
    • arias);Conhecimento de ferramentas computacionais de análise de dados (Python, SQL, Office, Tableau, AWS, GitHub
    • , etc);Conhecimento sobre técnicas estatísticas de Machine Learning para problemas de clusterização, regressão e classif
    • icação;Perfil analítico e com foco na solução de problemas com


    plexos.Modelo de atuação: Híbrido (4 dias presencial no escritório e 1 dia de home


    office)
    Benefícios


    • do PAN:
      Bônus
    • / PLR 🤑Vale Re
    • feição 🍔Vale Alime
    • ntação 🍝13º de Vale Alime
    • ntação 🤌Convênio Médico (internação em apartamento para titular e depend
    • entes) 🏥Convênio Odonto/Ortod
    • ôntico 😁Ambulatório Médico no escr
    • itório 🚑Telemedicina Dr. Alper (Einstein Conecta) ilim
    • itado. 🩺Seguro
    • de Vida ❤Descontos em mais de 10 mil far
    • mácias 💊4 Sessões de psicoterapia p
    • or mês 🤝Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias
    • ) 👨‍🍼🤱Auxílio Creche
    • / Babá 🎒AcomPANha (programa de acompanhamento para gestan
    • tes) 🫃🤰Gympass/Tot
    • alpass 💪Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiên
    • cia) 🦻🦽Day Off Anive
    • rsário 🎉Day Off Tempo d
    • e Casa 🕛Programa de reconhecimento por tempo d
    • e casa 🏆Programas de desenvolv
    • imento 📚Gamificação em certificações e desenvolvimento (Bi
    • tPANs) 🎫Massagem e Auriculoterapia ?
    • ?‍♀️💆‍♂️Salão de beleza no escritóri
    • o 💇‍♂️💅PAE (Orientação Jurídica, Financeira, Psicológica e Soci
    • al) 🧑‍🎓Serviço
    • Social 🤗Portal de descontos em diversos segmentos (
    • Allya) 🤑Campanha de vacinação (colaborador e depen
    • dente) 💉Facilitação no financiamento de ve
    • ículos 🚗Cartão de crédito PAN com limite difere
    • nciado 💳Vale Transporte (desconto de apen
    • as 4%) 🚆Assistência F


    uneral 🤍
    Assim como todas as nossas vagas, essa também é destinada à diversidade e inclusão. Independentemente de qualquer fator, perfil ou característica, Eleve sua carrei


    ra a PAN !
    Para conhecer mais sobre nossos benefícios e cultura, acesse o Trabal


    he Conosco:
    https://www.bancopan.com.br/traba


    lhe-conosco/
    Acesse também nossa página na Glassdoor e veja nossa


    s avaliações:
    https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-Banco-PAN-EI_IE11

    84444.13,22.ht +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-25,[] +3991787296,https://br.linkedin.com/jobs/view/data-scientist-ii-at-banco-bradesco-3991787296?position=16&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=AS6FjJU%2Fuvi%2F2plxNgrNFw%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST II,Banco Bradesco,"Osasco, São Paulo, Brazil","req57649 - DATA SCIENTIST II + +Sobre o Bradesco + +Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação. + +E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade. + +Responsabilidades e atribuições + +O que é o nosso time de Avaliação Independente de Modelos + +Os Modelos são ferramentas quantitativas que proporcionam a sintetização de assuntos complexos, padronização e automatização da tomada de decisões e a possibilidade de reaproveitamento de informações internas e externas. Isso traz melhoria da eficiência, tanto pela redução dos custos associados à análise e à decisão manual, como pela maior precisão. + +Modelo de trabalho: Híbrido – 2x presencial + +Local: Osasco/SP + +Como será seu dia a dia? + +Sendo Data Scientist II, atuará na área de avaliação independente de modelos (Riscos) e suas principais atividades serão: + + + +Interpretar regulamentos do país e do exterior, inerentes a gestão de riscos, capital e modelagem; +Propor a adoção de critérios, procedimentos e melhorias quanto ao âmbito e aplicação dos modelos de risco, de capital e de gestão, alinhados às boas práticas, visando à mitigação de riscos, melhoria de gestão e a efetividade de sua utilização; +Auxiliar na elaboração dos testes de validação independente, propondo ajustes que tornem sua aplicação mais abrangente e desafiadora; +Executar a validação do modelo com base nos testes previamente definidos, explicitando de forma clara em cada um dos testes suas opiniões e evidências acerca do assunto objeto de validação; +Elaborar relatórios sobre a adequação dos modelos, com o objetivo de opinar de forma técnica se os modelos estão adequados para os usos aos quais se destinam; +Executar a validação da infraestrutura de Tecnologia da Informação (TI) e dos dados na qual os modelos estão inseridos, com o propósito de aferir que as informações estejam precisas, procurando evidenciar o alinhamento com as boas práticas de Governança e controles de TI, tais como COBIT (Control Objectives for Information and related Technology) e Gestão da Informação. E verificar se o modelo foi corretamente implantado nos motores de cálculo (transposição da metodologia)."" + + + +Requisitos e Qualificações + +O que você precisa ter ou saber? + + + +Vivência de programação em SAS e outras linguagens (Python e R); +Vivência em Power BI; +Office (nível intermediário). + + + +Será um diferencial se você tiver: + + + +Conhecimento na Metodologia COSO; +Metodologia COBIT. + + + +O que nós oferecemos + +No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras. + + + +PLR ou Bônus: Conforme a elegibilidade de cargo* +Convênio Médico +Convênio Odontológico +Seguro de Vida +Vale Alimentação +Vale Refeição +Total Pass (pessoa colaboradora e mais 3 dependentes) +13º Cesta Alimentação +Vale Transporte (adesão opcional) +Descontos em produtos e serviços em empresas parceiras +Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco) +Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida +Unibrad: Universidade Corporativa Bradesco +Isenção de Tarifas: condições especiais em diversos produtos e serviços +Auxílio Creche ou Babá +Licença Paternidade estendida de 20 dias +Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto +Auxílio para filho atípico* + + + +Saiba mais sobre o Bradesco + +Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/. + +Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/. +Show more ","
    + + + + + +
    +
    + req57649 - DATA SCIENTIST II

    Sobre o Bradesco

    Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação.

    E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade.

    Responsabilidades e atribuições

    O que é o nosso time de Avaliação Independente de Modelos

    Os Modelos são ferramentas quantitativas que proporcionam a sintetização de assuntos complexos, padronização e automatização da tomada de decisões e a possibilidade de reaproveitamento de informações internas e externas. Isso traz melhoria da eficiência, tanto pela redução dos custos associados à análise e à decisão manual, como pela maior precisão.

    Modelo de trabalho: Híbrido – 2x presencial

    Local: Osasco/SP

    Como será seu dia a dia?

    Sendo Data Scientist II, atuará na área de avaliação independente de modelos (Riscos) e suas principais atividades serão:


    • Interpretar regulamentos do país e do exterior, inerentes a gestão de riscos, capital e modelagem;
    • Propor a adoção de critérios, procedimentos e melhorias quanto ao âmbito e aplicação dos modelos de risco, de capital e de gestão, alinhados às boas práticas, visando à mitigação de riscos, melhoria de gestão e a efetividade de sua utilização;
    • Auxiliar na elaboração dos testes de validação independente, propondo ajustes que tornem sua aplicação mais abrangente e desafiadora;
    • Executar a validação do modelo com base nos testes previamente definidos, explicitando de forma clara em cada um dos testes suas opiniões e evidências acerca do assunto objeto de validação;
    • Elaborar relatórios sobre a adequação dos modelos, com o objetivo de opinar de forma técnica se os modelos estão adequados para os usos aos quais se destinam;
    • Executar a validação da infraestrutura de Tecnologia da Informação (TI) e dos dados na qual os modelos estão inseridos, com o propósito de aferir que as informações estejam precisas, procurando evidenciar o alinhamento com as boas práticas de Governança e controles de TI, tais como COBIT (Control Objectives for Information and related Technology) e Gestão da Informação. E verificar se o modelo foi corretamente implantado nos motores de cálculo (transposição da metodologia).""


    Requisitos e Qualificações

    O que você precisa ter ou saber?


    • Vivência de programação em SAS e outras linguagens (Python e R);
    • Vivência em Power BI;
    • Office (nível intermediário).


    Será um diferencial se você tiver:


    • Conhecimento na Metodologia COSO;
    • Metodologia COBIT.


    O que nós oferecemos

    No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras.


    • PLR ou Bônus: Conforme a elegibilidade de cargo*
    • Convênio Médico
    • Convênio Odontológico
    • Seguro de Vida
    • Vale Alimentação
    • Vale Refeição
    • Total Pass (pessoa colaboradora e mais 3 dependentes)
    • 13º Cesta Alimentação
    • Vale Transporte (adesão opcional)
    • Descontos em produtos e serviços em empresas parceiras
    • Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
    • Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
    • Unibrad: Universidade Corporativa Bradesco
    • Isenção de Tarifas: condições especiais em diversos produtos e serviços
    • Auxílio Creche ou Babá
    • Licença Paternidade estendida de 20 dias
    • Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto
    • Auxílio para filho atípico*


    Saiba mais sobre o Bradesco

    Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/.

    Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3997694381,https://br.linkedin.com/jobs/view/cientista-de-dados-sr-at-banco-pan-3997694381?position=19&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=qa3dIIUsXAsQxzafFjMl2A%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de Dados Sr.,Banco PAN,"São Paulo, São Paulo, Brazil","Somos o PAN + +Ágeis, flexíveis e criativos, exploramos possibilidades com disposição e desejo de fazer acontecer. Sempre prontos para encarar novos desafios, nutrimos líderes que, além de ter garra, são abertos e empáticos, veem na proximidade das relações, o elo entre cada um. + +Nossa missão, se faz cumprida quando transformamos a vida dos outros através dos nossos conhecimentos. Nossos pilares de cultura, reforçam nossa postura idealizadora e com desejo de fazer acontecer: T rabalho em equipe, O usadia empreendedora e P rotagonismo com profundidade. + +Dominamos nossos processos e trazemos melhorias para quem deseja ter uma vida financeira mais inteligente. + +Principais desafios: + + +Atuar no desenvolvimento de modelos de Machine Learning e metodologias correlacionadas; +Atuar no desenvolvimento de modelos de NLP; +Propor metodologias para solução de problemas de negócio, auxiliando e gerando insights para o time de dados; +Realizar a manutenção e atualização de modelos; +Criar modelos desafiantes aos modelos existentes; +Atuar na mensuração de resultados e monitoramento de modelos; +Participar de discussões de estudos corporativos, envolvendo todas as áreas do banco, por exemplo: cobrança, atendimento, conversão de negócios. + + +Quais as principais competências para a posição? + + +Formação em Estatística, Ciência da Computação, Matemática, Física, Engenharia ou áreas relacionadas; +Experiência na área de Machine Learning; +Experiência em Python, principalmente bibliotecas relacionadas a ML; +Conhecimento avançado em SQL; +Conhecimento em Data Lake. + + +Diferencial: + + +Experiência em modelos de NLP; +Conhecimento em produtos bancários; +Conhecimento em serviços AWS; +Conhecimento em ferramentas de MLOps; +Conhecimento em modelos de IA Generativa. + + +Modelo de atuação: Híbrido (4 dias presenciais no escritório e 1 dia de home office) + +Benefícios do PAN: + + +Bônus / PLR 🤑 +Vale Refeição 🍔 +Vale Alimentação 🍝 +13º de Vale Alimentação 🤌 +Convênio Médico (internação em apartamento para titular e dependentes) 🏥 +Convênio Odonto/Ortodôntico 😁 +Ambulatório Médico no escritório 🚑 +Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 🩺 +Seguro de Vida ❤ +Descontos em mais de 10 mil farmácias 💊 +4 Sessões de psicoterapia por mês 🤝 +Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 👨‍🍼🤱 +Auxílio Creche / Babá 🎒 +AcomPANha (programa de acompanhamento para gestantes) 🫃🤰 +Gympass/Totalpass 💪 +Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 🦻🦽 +Day Off Aniversário 🎉 +Day Off Tempo de Casa 🕛 +Programa de reconhecimento por tempo de casa 🏆 +Programas de desenvolvimento 📚 +Gamificação em certificações e desenvolvimento (BitPANs) 🎫 +Massagem e Auriculoterapia 💆‍♀️💆‍♂️ +Salão de beleza no escritório 💇‍♂️💅 +PAE (Orientação Jurídica, Financeira, Psicológica e Social) 🧑‍🎓 +Serviço Social 🤗 +Portal de descontos em diversos segmentos (Allya) 🤑 +Campanha de vacinação (colaborador e dependente) 💉 +Facilitação no financiamento de veículos 🚗 +Cartão de crédito PAN com limite diferenciado 💳 +Vale Transporte (desconto de apenas 4%) 🚆 +Assistência Funeral 🤍 + + +Assim como todas as nossas vagas, essa também é destinada à diversidade e inclusão. Independentemente de qualquer fator, perfil ou característica, Eleve sua carreira a PAN ! + +Para conhecer mais sobre nossos benefícios e cultura, acesse o Trabalhe Conosco: + +https://www.bancopan.com.br/trabalhe-conosco/ + +Acesse também nossa página na Glassdoor e veja nossas avaliações: + +https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-Banco-PAN-EI_IE1184444.13,22.ht +Show more ","
    + + + + + +
    +
    + Somos o PAN

    Ágeis, flexíveis e criativos, exploramos possibilidades com disposição e desejo de fazer acontecer. Sempre prontos para encarar novos desafios, nutrimos líderes que, além de ter garra, são abertos e empáticos, veem na proximidade das relações, o elo entre cada um.

    Nossa missão, se faz cumprida quando transformamos a vida dos outros através dos nossos conhecimentos. Nossos pilares de cultura, reforçam nossa postura idealizadora e com desejo de fazer acontecer: T rabalho em equipe, O usadia empreendedora e P rotagonismo com profundidade.

    Dominamos nossos processos e trazemos melhorias para quem deseja ter uma vida financeira mais inteligente.

    Principais desafios:

    • Atuar no desenvolvimento de modelos de Machine Learning e metodologias correlacionadas;
    • Atuar no desenvolvimento de modelos de NLP;
    • Propor metodologias para solução de problemas de negócio, auxiliando e gerando insights para o time de dados;
    • Realizar a manutenção e atualização de modelos;
    • Criar modelos desafiantes aos modelos existentes;
    • Atuar na mensuração de resultados e monitoramento de modelos;
    • Participar de discussões de estudos corporativos, envolvendo todas as áreas do banco, por exemplo: cobrança, atendimento, conversão de negócios.

    Quais as principais competências para a posição?

    • Formação em Estatística, Ciência da Computação, Matemática, Física, Engenharia ou áreas relacionadas;
    • Experiência na área de Machine Learning;
    • Experiência em Python, principalmente bibliotecas relacionadas a ML;
    • Conhecimento avançado em SQL;
    • Conhecimento em Data Lake.

    Diferencial:

    • Experiência em modelos de NLP;
    • Conhecimento em produtos bancários;
    • Conhecimento em serviços AWS;
    • Conhecimento em ferramentas de MLOps;
    • Conhecimento em modelos de IA Generativa.

    Modelo de atuação: Híbrido (4 dias presenciais no escritório e 1 dia de home office)

    Benefícios do PAN:

    • Bônus / PLR 🤑
    • Vale Refeição 🍔
    • Vale Alimentação 🍝
    • 13º de Vale Alimentação 🤌
    • Convênio Médico (internação em apartamento para titular e dependentes) 🏥
    • Convênio Odonto/Ortodôntico 😁
    • Ambulatório Médico no escritório 🚑
    • Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 🩺
    • Seguro de Vida ❤
    • Descontos em mais de 10 mil farmácias 💊
    • 4 Sessões de psicoterapia por mês 🤝
    • Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 👨‍🍼🤱
    • Auxílio Creche / Babá 🎒
    • AcomPANha (programa de acompanhamento para gestantes) 🫃🤰
    • Gympass/Totalpass 💪
    • Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 🦻🦽
    • Day Off Aniversário 🎉
    • Day Off Tempo de Casa 🕛
    • Programa de reconhecimento por tempo de casa 🏆
    • Programas de desenvolvimento 📚
    • Gamificação em certificações e desenvolvimento (BitPANs) 🎫
    • Massagem e Auriculoterapia 💆‍♀️💆‍♂️
    • Salão de beleza no escritório 💇‍♂️💅
    • PAE (Orientação Jurídica, Financeira, Psicológica e Social) 🧑‍🎓
    • Serviço Social 🤗
    • Portal de descontos em diversos segmentos (Allya) 🤑
    • Campanha de vacinação (colaborador e dependente) 💉
    • Facilitação no financiamento de veículos 🚗
    • Cartão de crédito PAN com limite diferenciado 💳
    • Vale Transporte (desconto de apenas 4%) 🚆
    • Assistência Funeral 🤍

    Assim como todas as nossas vagas, essa também é destinada à diversidade e inclusão. Independentemente de qualquer fator, perfil ou característica, Eleve sua carreira a PAN !

    Para conhecer mais sobre nossos benefícios e cultura, acesse o Trabalhe Conosco:

    https://www.bancopan.com.br/trabalhe-conosco/

    Acesse também nossa página na Glassdoor e veja nossas avaliações:

    https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-Banco-PAN-EI_IE1184444.13,22.ht +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +4001789614,https://br.linkedin.com/jobs/view/cientista-de-dados-pleno-machine-learning-afirmativa-para-mulheres-at-porto-4001789614?position=20&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=AJQVKmvi%2BtsrKNmldDz9NQ%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de Dados Pleno (Machine Learning) - Afirmativa para Mulheres,Porto,"São Paulo, São Paulo, Brazil","Job Description + +O que faz a área na Porto? + +A área de Ciência de Dados da Porto apoia as demais áreas do Sinistro Automóvel para entregar um serviço que supere as expectativas dos nossos clientes e parceiros. Nosso objetivo é fornecer análises e modelos assertivos para guiar corretamente as decisões de simplificar, flexibilizar e reduzir custo de operação sem prejudicar a excelência dos nossos serviços. + +Responsibilities and assignments + + +Participar da estruturação de problemas da operação de sinistros e relacionar esses problemas com tecnologias, modelagem estatística e matemática; +Planejar, desenvolver e manter modelos de machine learning e séries temporais; +Realizar processo de ETL (extração, transformação e validação) de dados para o desenvolvimento de análises; +Auxiliar os times de operações a interpretarem os resultados e dar recomendações para melhoria dos processos; +Participar do processo de validação e implementação dos modelos desenvolvidos. + + + +Requirements And Qualifications + + +Graduação em Estatística, Engenharias, Economia, Matemática Aplicada, Ciência da Computação ou áreas correlatas; +Experiência com análise exploratória de dados; +Experiência com modelos preditivos: Modelos Lineares, Regressão logística, Random Forest, Boosting etc; +Experiência com modelos não supervisionados; +Habilidade para se comunicar em ambientes colaborativos e multidisciplinares. + + + +Diferenciais: + + +Mestrado/Doutorado em estatística, economia ou áreas correlatas; +Experiência com simulação de eventos discretos e otimização; +Conhecimento em computação em nuvem; +Processamento de Linguagem Natural (PLN); +Visão Computacional; +Conhecimento em ferramentas de visualização de dados (PowerBI, Tableau, etc). + + + +Skills técnicos: + + +Necessário experiência com bibliotecas de análise de dados e modelagem de ML em Python (Numpy, Pandas, scikit-learn) +Desejável experiência em Python Avançado e modelagem de IA (Programação Orientada a Objetos, , TensorFlow e PyTorch); +Experiência com linguagem SQL ou SAS; +Desejável experiência com Git; +MLOps é um diferencial. + + + +Skills comportamentais: + + +Resiliência e adaptabilidade na resolução de problemas; +Habilidade para trabalhar com equipes diversas; +Comunicação empática (conseguir discutir questões técnicas com pessoas técnicas e não técnicas de maneira assertiva e inclusiva); +Capacidade de ser autodidata. + + + +Additional information + +Vale Alimentação e Refeição: Seu VR e VA são flexíveis, para que você atenda às suas necessidades e defina a melhor maneira de utilizá-los; + +Vale-Transporte: Para nos encontrarmos na Porto; + +Serviços de Transporte: Para o seu conforto e segurança no trajeto até o nosso escritório, disponibilizamos vans nas principais estações de acesso à Porto: Luz, Barra Funda, Santa Cecília e Júlio Prestes; + +Plano de Saúde, Odontológico e Seguro de Vida: Para que você possa se cuidar, e também cuidar de seus dependentes; + +Participação nos Lucros - PLR: Pois sabemos que só vamos crescer, se crescermos juntos; + +Porto em Ação: Programa complementar à PLR, disponibilizando anualmente, até 2025, uma porcentagem de valor do seu salário em ações da Porto; + +Pais, mães e filhos: Auxílio creche ou babá, para cuidar do seu bem mais precioso; + +Previdência Privada - PortoPrev: Para você garantir um futuro mais tranquilo; + +Gympass: Para você possa se exercitar e cuidar da sua saúde física em diversas academias, onde estiver; + +Bolsa de estudos; Para você começar uma graduação ou que sonha em fazer uma segunda faculdade ou pós-graduação. + +Cursos de Idiomas: Subsídio para cursos de Inglês e Espanhol; + +Programa Saúde Integral: Série de benefícios e iniciativas para te apoiar a encontrar equilíbrio de forma integral, através de três pilares: saúde mental, saúde física e saúde financeira; + +Desconto em Produtos e Serviços: Para que você possa desfrutar dos produtos e serviços deste nosso ecossistema gigante; + +Local e modelo de trabalho: Centro de SP | Atuamos no modelo híbrido de trabalho. + +Process stages + + +Step 1: Registration1Registration +Step 2: Triagem2Triagem +Step 3: Entrevista RH3Entrevista RH +Step 4: Entrevista Gestor(a)4Entrevista Gestor(a) +Step 5: Case5Case +Step 6: Hiring6Hiring + + + +Na Porto, Você Importa! + +A Porto é muito mais que uma seguradora: é um ecossistema gigante que utiliza tecnologia para criar soluções, através de quatro verticais de negócio: Porto Bank, Porto Saúde, Porto Seguro e Porto Serviço. A reputação e o reconhecimento conquistados ao longo de mais de 7 décadas reforçam o tamanho da Porto, uma empresa referência em negócios, feita para e por pessoas. + +Aqui, bate no peito de 13 mil colaboradores o orgulho de fazer parte de uma organização sólida e ética, que transforma sonhos em realidades fantásticas para os nossos mais de 15,8 milhões de clientes. São mais de 101 sucursais e escritórios regionais em todo o Brasil. + +O aprendizado faz parte do nosso DNA, e aqui, você terá incentivos, ferramentas e gente boa para você aprender e crescer, a cada dia, um ambiente de acolhimento e segurança, onde cada um possa ser e se orgulhar de quem se é, promovendo um espaço de respeito e vivendo de forma integral e com bem-estar, em uma empresa genuinamente humana. + +DIVERSIDADE & INCLUSÃO NA PORTO + +Aqui na Porto, valorizamos a diversidade e acreditamos que um time plural é imprescindível para o desenvolvimento de todo o nosso negócio, da sociedade, e de cada pessoa, pois entendemos que cada indivíduo é único na construção de um ambiente mais inovador e inclusivo. Juntos, trabalhamos diariamente para construirmos um espaço seguro, livre e acolhedor, com mais pluralidade e respeito. Por isso, incentivamos fortemente a inscrição de mulheres, de pessoas negras e indígenas, de pessoas com deficiência e de pessoas LGBTQIA+ em todas as nossas vagas. +Show more ","
    + + + + + +
    +
    + Job Description

    O que faz a área na Porto?

    A área de Ciência de Dados da Porto apoia as demais áreas do Sinistro Automóvel para entregar um serviço que supere as expectativas dos nossos clientes e parceiros. Nosso objetivo é fornecer análises e modelos assertivos para guiar corretamente as decisões de simplificar, flexibilizar e reduzir custo de operação sem prejudicar a excelência dos nossos serviços.

    Responsibilities and assignments

    • Participar da estruturação de problemas da operação de sinistros e relacionar esses problemas com tecnologias, modelagem estatística e matemática;
    • Planejar, desenvolver e manter modelos de machine learning e séries temporais;
    • Realizar processo de ETL (extração, transformação e validação) de dados para o desenvolvimento de análises;
    • Auxiliar os times de operações a interpretarem os resultados e dar recomendações para melhoria dos processos;
    • Participar do processo de validação e implementação dos modelos desenvolvidos.


    Requirements And Qualifications

    • Graduação em Estatística, Engenharias, Economia, Matemática Aplicada, Ciência da Computação ou áreas correlatas;
    • Experiência com análise exploratória de dados;
    • Experiência com modelos preditivos: Modelos Lineares, Regressão logística, Random Forest, Boosting etc;
    • Experiência com modelos não supervisionados;
    • Habilidade para se comunicar em ambientes colaborativos e multidisciplinares.


    Diferenciais:

    • Mestrado/Doutorado em estatística, economia ou áreas correlatas;
    • Experiência com simulação de eventos discretos e otimização;
    • Conhecimento em computação em nuvem;
    • Processamento de Linguagem Natural (PLN);
    • Visão Computacional;
    • Conhecimento em ferramentas de visualização de dados (PowerBI, Tableau, etc).


    Skills técnicos:

    • Necessário experiência com bibliotecas de análise de dados e modelagem de ML em Python (Numpy, Pandas, scikit-learn)
    • Desejável experiência em Python Avançado e modelagem de IA (Programação Orientada a Objetos, , TensorFlow e PyTorch);
    • Experiência com linguagem SQL ou SAS;
    • Desejável experiência com Git;
    • MLOps é um diferencial.


    Skills comportamentais:

    • Resiliência e adaptabilidade na resolução de problemas;
    • Habilidade para trabalhar com equipes diversas;
    • Comunicação empática (conseguir discutir questões técnicas com pessoas técnicas e não técnicas de maneira assertiva e inclusiva);
    • Capacidade de ser autodidata.


    Additional information

    Vale Alimentação e Refeição: Seu VR e VA são flexíveis, para que você atenda às suas necessidades e defina a melhor maneira de utilizá-los;

    Vale-Transporte: Para nos encontrarmos na Porto;

    Serviços de Transporte: Para o seu conforto e segurança no trajeto até o nosso escritório, disponibilizamos vans nas principais estações de acesso à Porto: Luz, Barra Funda, Santa Cecília e Júlio Prestes;

    Plano de Saúde, Odontológico e Seguro de Vida: Para que você possa se cuidar, e também cuidar de seus dependentes;

    Participação nos Lucros - PLR: Pois sabemos que só vamos crescer, se crescermos juntos;

    Porto em Ação: Programa complementar à PLR, disponibilizando anualmente, até 2025, uma porcentagem de valor do seu salário em ações da Porto;

    Pais, mães e filhos: Auxílio creche ou babá, para cuidar do seu bem mais precioso;

    Previdência Privada - PortoPrev: Para você garantir um futuro mais tranquilo;

    Gympass: Para você possa se exercitar e cuidar da sua saúde física em diversas academias, onde estiver;

    Bolsa de estudos; Para você começar uma graduação ou que sonha em fazer uma segunda faculdade ou pós-graduação.

    Cursos de Idiomas: Subsídio para cursos de Inglês e Espanhol;

    Programa Saúde Integral: Série de benefícios e iniciativas para te apoiar a encontrar equilíbrio de forma integral, através de três pilares: saúde mental, saúde física e saúde financeira;

    Desconto em Produtos e Serviços: Para que você possa desfrutar dos produtos e serviços deste nosso ecossistema gigante;

    Local e modelo de trabalho: Centro de SP | Atuamos no modelo híbrido de trabalho.

    Process stages

    • Step 1: Registration1Registration
    • Step 2: Triagem2Triagem
    • Step 3: Entrevista RH3Entrevista RH
    • Step 4: Entrevista Gestor(a)4Entrevista Gestor(a)
    • Step 5: Case5Case
    • Step 6: Hiring6Hiring


    Na Porto, Você Importa!

    A Porto é muito mais que uma seguradora: é um ecossistema gigante que utiliza tecnologia para criar soluções, através de quatro verticais de negócio: Porto Bank, Porto Saúde, Porto Seguro e Porto Serviço. A reputação e o reconhecimento conquistados ao longo de mais de 7 décadas reforçam o tamanho da Porto, uma empresa referência em negócios, feita para e por pessoas.

    Aqui, bate no peito de 13 mil colaboradores o orgulho de fazer parte de uma organização sólida e ética, que transforma sonhos em realidades fantásticas para os nossos mais de 15,8 milhões de clientes. São mais de 101 sucursais e escritórios regionais em todo o Brasil.

    O aprendizado faz parte do nosso DNA, e aqui, você terá incentivos, ferramentas e gente boa para você aprender e crescer, a cada dia, um ambiente de acolhimento e segurança, onde cada um possa ser e se orgulhar de quem se é, promovendo um espaço de respeito e vivendo de forma integral e com bem-estar, em uma empresa genuinamente humana.

    DIVERSIDADE & INCLUSÃO NA PORTO

    Aqui na Porto, valorizamos a diversidade e acreditamos que um time plural é imprescindível para o desenvolvimento de todo o nosso negócio, da sociedade, e de cada pessoa, pois entendemos que cada indivíduo é único na construção de um ambiente mais inovador e inclusivo. Juntos, trabalhamos diariamente para construirmos um espaço seguro, livre e acolhedor, com mais pluralidade e respeito. Por isso, incentivamos fortemente a inscrição de mulheres, de pessoas negras e indígenas, de pessoas com deficiência e de pessoas LGBTQIA+ em todas as nossas vagas. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +3994759629,https://br.linkedin.com/jobs/view/data-scientist-iii-at-banco-bradesco-3994759629?position=21&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=KRt7Nwb%2Fltg%2BpCne4RGIwg%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST III,Banco Bradesco,"Osasco, São Paulo, Brazil","req57644 - DATA SCIENTIST III + +Sobre o Bradesco + +Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação. + +E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade. + +Responsabilidades e atribuições + +O que é o nosso time de Avaliação Independente de Modelos + +Os Modelos são ferramentas quantitativas que proporcionam a sintetização de assuntos complexos, padronização e automatização da tomada de decisões e a possibilidade de reaproveitamento de informações internas e externas. Isso traz melhoria da eficiência, tanto pela redução dos custos associados à análise e à decisão manual, como pela maior precisão. + +Modelo de trabalho: Híbrido – 2x presencial + +Local: Osasco/SP + +Como será seu dia a dia? + +Sendo Data Scientist III, atuará na área de Avaliação Independente de Modelos (Riscos) e suas principais atividades serão: + + + +Avaliar o desempenho dos modelos utilizados pela Organização para medir o grau de exposição ao risco e propor adequações que agreguem valor ao negócio; +Elaborar relatórios de validação de modelos e apresentar os resultados em diversos fóruns; +Buscar continuamente atualização das boas práticas de mercado e inovações tecnológicas, com o objetivo de identificar novos riscos e propor tratamentos nos processos; +Interpretar regulamentos do país e do exterior, inerentes à gestão de riscos, capital, modelagem e Basiléia, apoiando a Gerência e a Coordenação da área na identificação de sua aplicação interna e nas dependências envolvidas. + + + +Requisitos e Qualificações + +O que você precisa ter ou saber? + + + +Conhecimento avançado em linguagem de programação: SAS, Python, R.; +Conhecimento avançado em Power BI e Pacote Office; +Domínio de estatística descritiva e técnicas de amostragem; +Domínio de técnicas de modelagem (regressão logística, árvore de decisão, ajuste de séries temporais, técnicas de machine learning). + + + +O que nós oferecemos + +No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras. + + + +PLR ou Bônus: Conforme a elegibilidade de cargo* +Convênio Médico +Convênio Odontológico +Seguro de Vida +Vale Alimentação +Vale Refeição +Total Pass (pessoa colaboradora e mais 3 dependentes) +13º Cesta Alimentação +Vale Transporte (adesão opcional) +Descontos em produtos e serviços em empresas parceiras +Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco) +Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida +Unibrad: Universidade Corporativa Bradesco +Isenção de Tarifas: condições especiais em diversos produtos e serviços +Auxílio Creche ou Babá +Licença Paternidade estendida de 20 dias +Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto +Auxílio para filho atípico* + + + +Saiba mais sobre o Bradesco + +Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/. + +Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/. + + +Show more ","
    + + + + + +
    +
    + req57644 - DATA SCIENTIST III

    Sobre o Bradesco

    Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação.

    E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade.

    Responsabilidades e atribuições

    O que é o nosso time de Avaliação Independente de Modelos

    Os Modelos são ferramentas quantitativas que proporcionam a sintetização de assuntos complexos, padronização e automatização da tomada de decisões e a possibilidade de reaproveitamento de informações internas e externas. Isso traz melhoria da eficiência, tanto pela redução dos custos associados à análise e à decisão manual, como pela maior precisão.

    Modelo de trabalho: Híbrido – 2x presencial

    Local: Osasco/SP

    Como será seu dia a dia?

    Sendo Data Scientist III, atuará na área de Avaliação Independente de Modelos (Riscos) e suas principais atividades serão:


    • Avaliar o desempenho dos modelos utilizados pela Organização para medir o grau de exposição ao risco e propor adequações que agreguem valor ao negócio;
    • Elaborar relatórios de validação de modelos e apresentar os resultados em diversos fóruns;
    • Buscar continuamente atualização das boas práticas de mercado e inovações tecnológicas, com o objetivo de identificar novos riscos e propor tratamentos nos processos;
    • Interpretar regulamentos do país e do exterior, inerentes à gestão de riscos, capital, modelagem e Basiléia, apoiando a Gerência e a Coordenação da área na identificação de sua aplicação interna e nas dependências envolvidas.


    Requisitos e Qualificações

    O que você precisa ter ou saber?


    • Conhecimento avançado em linguagem de programação: SAS, Python, R.;
    • Conhecimento avançado em Power BI e Pacote Office;
    • Domínio de estatística descritiva e técnicas de amostragem;
    • Domínio de técnicas de modelagem (regressão logística, árvore de decisão, ajuste de séries temporais, técnicas de machine learning).


    O que nós oferecemos

    No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras.


    • PLR ou Bônus: Conforme a elegibilidade de cargo*
    • Convênio Médico
    • Convênio Odontológico
    • Seguro de Vida
    • Vale Alimentação
    • Vale Refeição
    • Total Pass (pessoa colaboradora e mais 3 dependentes)
    • 13º Cesta Alimentação
    • Vale Transporte (adesão opcional)
    • Descontos em produtos e serviços em empresas parceiras
    • Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
    • Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
    • Unibrad: Universidade Corporativa Bradesco
    • Isenção de Tarifas: condições especiais em diversos produtos e serviços
    • Auxílio Creche ou Babá
    • Licença Paternidade estendida de 20 dias
    • Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto
    • Auxílio para filho atípico*


    Saiba mais sobre o Bradesco

    Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/.

    Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3997338260,https://br.linkedin.com/jobs/view/data-scientist-iii-at-banco-bradesco-3997338260?position=22&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=WiocF4m9E29w9nKfYKJRPQ%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST III,Banco Bradesco,"Osasco, São Paulo, Brazil","Sobre o Bradesco + +Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação. + +E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade. + +Responsabilidades e atribuições + +O que é o nosso time de Crédito? + +O time de Crédito possui como missão garantir uma gestão eficiente na concessão e manutenção de crédito, que assegure rentabilidade e o crescimento com solidez dos ativos da Organização. + +Modelo de trabalho : Híbrido – 2x presencial (qua e qui). + +Local: Osasco/ SP. + +Como será seu dia a dia? + +Sendo DATA SCIENTIST III suas principais atividades serão: + + + +Realizar projeções de crédito através de modelos de series temporais; +Aplicar modelos estatísticos para geração de insights; +Realizar segmentações e Análise de Cluster; +Manipular base de Dados; +Realizar avaliação de soluções analíticas internas e externas do mercado; +Direcionar originação de maneira a respeitar as concentrações máximas das carteiras; +Definir as fronteiras Hard/Soft junto a área de Riscos e apresentar os limites definidos aos segmentos; +Desenvolver clusters a fim de buscar o perfil ideal; +Apoiar a realização de estudos de mercado visando encontrar oportunidades de negócio e recomendar aos segmentos de clientes; +Disparar, junto a área de Riscos, alertas aos segmentos sobre a aproximação aos limites definidos. + + + +Requisitos e Qualificações + +O que você precisa ter ou saber? + + + +Formação em Estatística, Matemática Engenharia e correlatos; +Vivência com programação em linguagem Python e SQL; +PPT avançado; +Vivência com modelagem estatística; +Vivência com políticas de crédito e gestão de portfólio; +Vivência com manipulação de dados, geração de insights e segmentação clientes; +Vivência com risco de crédito; +Inglês intermediário. + + + +Será um diferencial se você tiver: + + + +Conhecimento em SAS. + + + +O que nós oferecemos + +No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras. + + + +PLR ou Bônus: Conforme a elegibilidade de cargo* +Convênio Médico +Convênio Odontológico +Seguro de Vida +Vale Alimentação +Vale Refeição +Total Pass +13º Cesta Alimentação +Vale Transporte (adesão opcional) +Descontos em produtos e serviços em empresas parceiras +Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco) +Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida +Unibrad: Universidade Corporativa Bradesco +Isenção de Tarifas: condições especiais em diversos produtos e serviços +Auxílio Creche ou Babá +Licença Paternidade estendida de 20 dias +Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto + + + +Saiba mais sobre o Bradesco + +Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ . + +Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +Show more ","
    + + + + + +
    +
    + Sobre o Bradesco

    Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação.

    E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade.

    Responsabilidades e atribuições

    O que é o nosso time de Crédito?

    O time de Crédito possui como missão garantir uma gestão eficiente na concessão e manutenção de crédito, que assegure rentabilidade e o crescimento com solidez dos ativos da Organização.

    Modelo de trabalho : Híbrido – 2x presencial (qua e qui).

    Local: Osasco/ SP.

    Como será seu dia a dia?

    Sendo DATA SCIENTIST III suas principais atividades serão:


    • Realizar projeções de crédito através de modelos de series temporais;
    • Aplicar modelos estatísticos para geração de insights;
    • Realizar segmentações e Análise de Cluster;
    • Manipular base de Dados;
    • Realizar avaliação de soluções analíticas internas e externas do mercado;
    • Direcionar originação de maneira a respeitar as concentrações máximas das carteiras;
    • Definir as fronteiras Hard/Soft junto a área de Riscos e apresentar os limites definidos aos segmentos;
    • Desenvolver clusters a fim de buscar o perfil ideal;
    • Apoiar a realização de estudos de mercado visando encontrar oportunidades de negócio e recomendar aos segmentos de clientes;
    • Disparar, junto a área de Riscos, alertas aos segmentos sobre a aproximação aos limites definidos.


    Requisitos e Qualificações

    O que você precisa ter ou saber?


    • Formação em Estatística, Matemática Engenharia e correlatos;
    • Vivência com programação em linguagem Python e SQL;
    • PPT avançado;
    • Vivência com modelagem estatística;
    • Vivência com políticas de crédito e gestão de portfólio;
    • Vivência com manipulação de dados, geração de insights e segmentação clientes;
    • Vivência com risco de crédito;
    • Inglês intermediário.


    Será um diferencial se você tiver:


    • Conhecimento em SAS.


    O que nós oferecemos

    No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras.


    • PLR ou Bônus: Conforme a elegibilidade de cargo*
    • Convênio Médico
    • Convênio Odontológico
    • Seguro de Vida
    • Vale Alimentação
    • Vale Refeição
    • Total Pass
    • 13º Cesta Alimentação
    • Vale Transporte (adesão opcional)
    • Descontos em produtos e serviços em empresas parceiras
    • Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
    • Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
    • Unibrad: Universidade Corporativa Bradesco
    • Isenção de Tarifas: condições especiais em diversos produtos e serviços
    • Auxílio Creche ou Babá
    • Licença Paternidade estendida de 20 dias
    • Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto


    Saiba mais sobre o Bradesco

    Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ .

    Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3933869780,https://br.linkedin.com/jobs/view/data-scientist-risk-at-brex-3933869780?position=23&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=tVRv1MH0SgMYAjWqmo5tsw%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Risk",Brex,"São Paulo, São Paulo, Brazil","Why join us + +Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale. + +Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. + +Engineering at Brex + +The Engineering team includes Data, IT, Security, and Software, and is responsible for building innovative products and infrastructure for both internal and external users. We have multiple autonomous and collaborative teams who are eager to learn, teach, and constantly improve how things work. Together, we strive to build robust and scalable systems that enable Brex to grow rapidly and help our customers reach their full potential. + +Risk Data Science at Brex + +In the Risk Data Science team, we leverage data and AI to manage financial risk (fraud, money laundering, and credit), striking a balance between mitigating those risks and creating a positive experience for our customers. + +What You’ll Do + +Our Data Scientists are responsible for the entire model development lifecycle from conception with stakeholders, developing the model in a notebook, putting it into production, and circling back with stakeholders to make product or strategic decisions. + +Responsibilities + + +Drive Data & AI solutions from inception to deployment to efficiently manage risk +Be responsible for the full machine learning lifecycle: data acquisition, model design, training, productionization, and monitoring +Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance and Credit) + + +Requirements + + +4+ years of experience in Data Science/ML roles +Expertise with Python programming, SQL queries, and ML-related frameworks +Previous experience in the Risk domain (Fraud, AML, and/or Credit) +Strong communication and interpersonal skills +English proficiency/fluency, both written and speaking (note: interviews will be conducted in English) +Must be willing to work in office 2 days per week on Wednesday and Thursday, starting September 1st, 2025 when we open our Sao Paulo office + + +Bonus points + + +Experience working with real-time data sets +Experience in the finance industry + + +Location + + +Must be working in Brazil at the start of role + + +Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored. +Show more ","
    + + + + + +
    +
    + Why join us

    Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.

    Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

    Engineering at Brex

    The Engineering team includes Data, IT, Security, and Software, and is responsible for building innovative products and infrastructure for both internal and external users. We have multiple autonomous and collaborative teams who are eager to learn, teach, and constantly improve how things work. Together, we strive to build robust and scalable systems that enable Brex to grow rapidly and help our customers reach their full potential.

    Risk Data Science at Brex

    In the Risk Data Science team, we leverage data and AI to manage financial risk (fraud, money laundering, and credit), striking a balance between mitigating those risks and creating a positive experience for our customers.

    What You’ll Do

    Our Data Scientists are responsible for the entire model development lifecycle from conception with stakeholders, developing the model in a notebook, putting it into production, and circling back with stakeholders to make product or strategic decisions.

    Responsibilities

    • Drive Data & AI solutions from inception to deployment to efficiently manage risk
    • Be responsible for the full machine learning lifecycle: data acquisition, model design, training, productionization, and monitoring
    • Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance and Credit)

    Requirements

    • 4+ years of experience in Data Science/ML roles
    • Expertise with Python programming, SQL queries, and ML-related frameworks
    • Previous experience in the Risk domain (Fraud, AML, and/or Credit)
    • Strong communication and interpersonal skills
    • English proficiency/fluency, both written and speaking (note: interviews will be conducted in English)
    • Must be willing to work in office 2 days per week on Wednesday and Thursday, starting September 1st, 2025 when we open our Sao Paulo office

    Bonus points

    • Experience working with real-time data sets
    • Experience in the finance industry

    Location

    • Must be working in Brazil at the start of role

    Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-04,[] +3965987969,https://br.linkedin.com/jobs/view/cientista-de-dados-sr-cr%C3%A9dito-at-banco-pan-3965987969?position=25&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=CZ7u1owfArJ5z%2FD67e16Lw%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de Dados Sr. - Crédito,Banco PAN,"São Paulo, São Paulo, Brazil","Somos o PAN + +Ágeis, flexíveis e criativos, exploramos possibilidades com disposição e desejo de fazer acontecer. Sempre prontos para encarar novos desafios, nutrimos líderes que, além de ter garra, são abertos e empáticos, veem na proximidade das relações, o elo entre cada um. + +Nossa missão, se faz cumprida quando transformamos a vida dos outros através dos nossos conhecimentos. Nossos pilares de cultura, reforçam nossa postura idealizadora e com desejo de fazer acontecer: T rabalho em equipe, O usadia empreendedora e P rotagonismo com profundidade. + +Dominamos nossos processos e trazemos melhorias para quem deseja ter uma vida financeira mais inteligente. + +Principais desafios: + +O Cientista de Dados será corresponsável pelo desenvolvimento de soluções de inteligência preditiva, tendo como principais atividades: + + +Auxiliar e Desenvolver modelos preditivos, robustos e escaláveis, para apoiar a tomada de decisão da área de crédito; +Conduzir pesquisas para compreender as causas dos principais problemas de negócios e propor soluções data-driven ; +Explorar os diversos conjuntos de informações disponíveis para determinar pontos fracos do portfólio, tendências e oportunidades de negócios; +Propor métodos de análise e monitoramentos inteligentes e recomendar melhorias para os processos decisórios existentes; +Atuar no processo de deploy de serviços preditivos – MLOps – de acordo com a melhores práticas; +Aplicação sistemática de metodologias de análise de dados que promovam a descoberta de actionable insights ; +Interação com principais drivers da concessão e manutenção de crédito: credit score , endividamento, capacidade de pagamento, entre outras features relevantes; +Uso de processos e métricas de risco de crédito regulamentares (BaCen e SOX) e/ou definidas pelo apetite de risco do banco. + + +Quais as principais competências para a posição? + + +Formação acadêmica dentre os cursos de Matemática Aplicada, Física, Estatística, Computação Científica e Engenharias; +Já ter atuado com as ferramentas computacionais de análise de dados, plataformas cloud e apresentação de resultados (Python, R, SQL, Office, Tableau, AWS, Github, entre outros); +Contato com as pipelines de dados, desenvolvimento de algoritmos, stacking de modelos e deploy de serviços; +Capacidade de trabalhar com fontes distintas de dados, incluindo dados não estruturados; +Atuação com as principais implementações dos algoritmos de ML para problemas de clusterização, regressão, classificação, além de possuir habilidade no design de redes neurais artificiais e construção de modelos de séries temporais; +Conhecimento sobre as técnicas estatísticas de modelagem paramétrica de distribuição de variáveis aleatórias e suas propriedades, testes de hipóteses e seus usos; +Aplicação de técnicas de análise e tratamento de vieses nas bases de dados e features de interesse; +Compreensão sobre a aplicação de métodos de matemática e engenharia financeira necessários para a moderna gestão de portfólios de crédito; +Perfil analítico e foco na solução de problemas complexos considerando múltiplos cenários e relações de risco vs. retorno; +Comunicação clara e objetiva das análises, modelos e descobertas para as áreas de negócios. + + +Modelo de atuação: Híbrido (4 dias presencial no escritório e 1 dia de home office) + +Benefícios do PAN: + + +Bônus / PLR 🤑 +Vale Refeição 🍔 +Vale Alimentação 🍝 +13º de Vale Alimentação 🤌 +Convênio Médico (internação em apartamento para titular e dependentes) 🏥 +Convênio Odonto/Ortodôntico 😁 +Ambulatório Médico no escritório 🚑 +Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 🩺 +Seguro de Vida ❤ +Descontos em mais de 10 mil farmácias 💊 +4 Sessões de psicoterapia por mês 🤝 +Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 👨‍🍼🤱 +Auxílio Creche / Babá 🎒 +AcomPANha (programa de acompanhamento para gestantes) 🫃🤰 +Gympass/Totalpass 💪 +Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 🦻🦽 +Day Off Aniversário 🎉 +Day Off Tempo de Casa 🕛 +Programa de reconhecimento por tempo de casa 🏆 +Programas de desenvolvimento 📚 +Gamificação em certificações e desenvolvimento (BitPANs) 🎫 +Massagem e Auriculoterapia 💆‍♀️💆‍♂️ +Salão de beleza no escritório 💇‍♂️💅 +PAE (Orientação Jurídica, Financeira, Psicológica e Social) 🧑‍🎓 +Serviço Social 🤗 +Portal de descontos em diversos segmentos (Allya) 🤑 +Campanha de vacinação (colaborador e dependente) 💉 +Facilitação no financiamento de veículos 🚗 +Cartão de crédito PAN com limite diferenciado 💳 +Vale Transporte (desconto de apenas 4%) 🚆 +Assistência Funeral 🤍 + + +Assim como todas as nossas vagas, essa também é destinada à diversidade e inclusão. Independentemente de qualquer fator, perfil ou característica, Eleve sua carreira a PAN ! + +Para conhecer mais sobre nossos benefícios e cultura, acesse o Trabalhe Conosco: + +https://www.bancopan.com.br/trabalhe-conosco/ + +Acesse também nossa página na Glassdoor e veja nossas avaliações: + +https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-Banco-PAN-EI_IE1184444.13,22.ht +Show more ","
    + + + + + +
    +
    + Somos o PAN

    Ágeis, flexíveis e criativos, exploramos possibilidades com disposição e desejo de fazer acontecer. Sempre prontos para encarar novos desafios, nutrimos líderes que, além de ter garra, são abertos e empáticos, veem na proximidade das relações, o elo entre cada um.

    Nossa missão, se faz cumprida quando transformamos a vida dos outros através dos nossos conhecimentos. Nossos pilares de cultura, reforçam nossa postura idealizadora e com desejo de fazer acontecer: T rabalho em equipe, O usadia empreendedora e P rotagonismo com profundidade.

    Dominamos nossos processos e trazemos melhorias para quem deseja ter uma vida financeira mais inteligente.

    Principais desafios:

    O Cientista de Dados será corresponsável pelo desenvolvimento de soluções de inteligência preditiva, tendo como principais atividades:

    • Auxiliar e Desenvolver modelos preditivos, robustos e escaláveis, para apoiar a tomada de decisão da área de crédito;
    • Conduzir pesquisas para compreender as causas dos principais problemas de negócios e propor soluções data-driven ;
    • Explorar os diversos conjuntos de informações disponíveis para determinar pontos fracos do portfólio, tendências e oportunidades de negócios;
    • Propor métodos de análise e monitoramentos inteligentes e recomendar melhorias para os processos decisórios existentes;
    • Atuar no processo de deploy de serviços preditivos – MLOps – de acordo com a melhores práticas;
    • Aplicação sistemática de metodologias de análise de dados que promovam a descoberta de actionable insights ;
    • Interação com principais drivers da concessão e manutenção de crédito: credit score , endividamento, capacidade de pagamento, entre outras features relevantes;
    • Uso de processos e métricas de risco de crédito regulamentares (BaCen e SOX) e/ou definidas pelo apetite de risco do banco.

    Quais as principais competências para a posição?

    • Formação acadêmica dentre os cursos de Matemática Aplicada, Física, Estatística, Computação Científica e Engenharias;
    • Já ter atuado com as ferramentas computacionais de análise de dados, plataformas cloud e apresentação de resultados (Python, R, SQL, Office, Tableau, AWS, Github, entre outros);
    • Contato com as pipelines de dados, desenvolvimento de algoritmos, stacking de modelos e deploy de serviços;
    • Capacidade de trabalhar com fontes distintas de dados, incluindo dados não estruturados;
    • Atuação com as principais implementações dos algoritmos de ML para problemas de clusterização, regressão, classificação, além de possuir habilidade no design de redes neurais artificiais e construção de modelos de séries temporais;
    • Conhecimento sobre as técnicas estatísticas de modelagem paramétrica de distribuição de variáveis aleatórias e suas propriedades, testes de hipóteses e seus usos;
    • Aplicação de técnicas de análise e tratamento de vieses nas bases de dados e features de interesse;
    • Compreensão sobre a aplicação de métodos de matemática e engenharia financeira necessários para a moderna gestão de portfólios de crédito;
    • Perfil analítico e foco na solução de problemas complexos considerando múltiplos cenários e relações de risco vs. retorno;
    • Comunicação clara e objetiva das análises, modelos e descobertas para as áreas de negócios.

    Modelo de atuação: Híbrido (4 dias presencial no escritório e 1 dia de home office)

    Benefícios do PAN:

    • Bônus / PLR 🤑
    • Vale Refeição 🍔
    • Vale Alimentação 🍝
    • 13º de Vale Alimentação 🤌
    • Convênio Médico (internação em apartamento para titular e dependentes) 🏥
    • Convênio Odonto/Ortodôntico 😁
    • Ambulatório Médico no escritório 🚑
    • Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 🩺
    • Seguro de Vida ❤
    • Descontos em mais de 10 mil farmácias 💊
    • 4 Sessões de psicoterapia por mês 🤝
    • Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 👨‍🍼🤱
    • Auxílio Creche / Babá 🎒
    • AcomPANha (programa de acompanhamento para gestantes) 🫃🤰
    • Gympass/Totalpass 💪
    • Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 🦻🦽
    • Day Off Aniversário 🎉
    • Day Off Tempo de Casa 🕛
    • Programa de reconhecimento por tempo de casa 🏆
    • Programas de desenvolvimento 📚
    • Gamificação em certificações e desenvolvimento (BitPANs) 🎫
    • Massagem e Auriculoterapia 💆‍♀️💆‍♂️
    • Salão de beleza no escritório 💇‍♂️💅
    • PAE (Orientação Jurídica, Financeira, Psicológica e Social) 🧑‍🎓
    • Serviço Social 🤗
    • Portal de descontos em diversos segmentos (Allya) 🤑
    • Campanha de vacinação (colaborador e dependente) 💉
    • Facilitação no financiamento de veículos 🚗
    • Cartão de crédito PAN com limite diferenciado 💳
    • Vale Transporte (desconto de apenas 4%) 🚆
    • Assistência Funeral 🤍

    Assim como todas as nossas vagas, essa também é destinada à diversidade e inclusão. Independentemente de qualquer fator, perfil ou característica, Eleve sua carreira a PAN !

    Para conhecer mais sobre nossos benefícios e cultura, acesse o Trabalhe Conosco:

    https://www.bancopan.com.br/trabalhe-conosco/

    Acesse também nossa página na Glassdoor e veja nossas avaliações:

    https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-Banco-PAN-EI_IE1184444.13,22.ht +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +3987101044,https://br.linkedin.com/jobs/view/analista-de-dados-e-ia-jr-vaga-afirmativa-para-pcd-at-banco-pan-3987101044?position=26&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=lptzetU8mM4VYOkwn%2FKRbQ%3D%3D&trk=public_jobs_jserp-result_search-card,Analista de Dados e IA Jr. (Vaga afirmativa para PCD),Banco PAN,"São Paulo, São Paulo, Brazil","Somos o PAN + +Ágeis, flexíveis e criativos, exploramos possibilidades com disposição e desejo de fazer acontecer. Sempre prontos para encarar novos desafios, nutrimos líderes que, além de ter garra, são abertos e empáticos, veem na proximidade das relações, o elo entre cada um. + +Nossa missão, se faz cumprida quando transformamos a vida dos outros através dos nossos conhecimentos. Nossos pilares de cultura, reforçam nossa postura idealizadora e com desejo de fazer acontecer: T rabalho em equipe, O usadia empreendedora e P rotagonismo com profundidade. + +Dominamos nossos processos e trazemos melhorias para quem deseja ter uma vida financeira mais inteligente. + +Principais desafios: + + +Buscar e desenvolver oportunidades de uso de IA (LLM, machine learning) nas +diferentes etapas envolvidas no atendimento, para busca de eficiência e melhoria de +experiência dos clientes, trabalhando em parceria com outras áreas (ex. Analytics); +Analisar a efetividade dos projetos de IA implementados, a partir de diferentes +indicadores, e realizar ajustes nos prompts ou programas para melhoria de resultados; +Desenvolver e implementar estratégias e processos de coleta de dados, garantindo a +integridade e qualidade dos dados coletados (pelos diferentes canais de atendimento); +Utilizar ferramentas de análise de dados para identificar tendências, insights e +oportunidades de melhoria no atendimento e fluxo do cliente; +Colaborar com diferentes áreas do Banco para entender suas necessidades e +requisitos em termos de dados e análises relacionados ao atendimento dos clientes; +Criar e manter painéis interativos e relatórios no Tableau / QuickSight para monitorar o +desempenho do atendimento ao cliente, a partir de métricas pré-definidas. + + +Quais as principais competências para a posição? + + +Experiência comprovada em análise de dados, visualização de dados e implementação de projetos com IA (inteligência artificial); +Pensamento analítico e habilidades de resolução de problemas e orientação a resultados / entregas em ritmo acelerado; +Conhecimento sólido em SQL e experiência em lidar com grandes volumes de dados; +Capacidade de coordenação técnica de equipes multidisciplinares e stakeholders em diferentes níveis organizacionais; +Habilidades de comunicação verbal e escrita, com capacidade de explicar resultados complexos de análise de dados de forma clara e concisa; +(Desejável) conhecimento do setor bancário e familiaridade com métricas de experiência do cliente + + +Modelo de atuação: Híbrido (3dias presenciais no escritório e 2 dias de home office) + +Benefícios do PAN: + + +Bônus / PLR 🤑 +Vale Refeição 🍔 +Vale Alimentação 🍝 +13º de Vale Alimentação 🤌 +Convênio Médico (internação em apartamento para titular e dependentes) 🏥 +Convênio Odonto/Ortodôntico 😁 +Ambulatório Médico no escritório 🚑 +Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 🩺 +Seguro de Vida ❤ +Descontos em mais de 10 mil farmácias 💊 +4 Sessões de psicoterapia por mês 🤝 +Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 👨‍🍼🤱 +Auxílio Creche / Babá 🎒 +AcomPANha (programa de acompanhamento para gestantes) 🫃🤰 +Gympass/Totalpass 💪 +Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 🦻🦽 +Day Off Aniversário 🎉 +Day Off Tempo de Casa 🕛 +Programa de reconhecimento por tempo de casa 🏆 +Programas de desenvolvimento 📚 +Gamificação em certificações e desenvolvimento (BitPANs) 🎫 +Massagem e Auriculoterapia 💆‍♀️💆‍♂️ +Salão de beleza no escritório 💇‍♂️💅 +PAE (Orientação Jurídica, Financeira, Psicológica e Social) 🧑‍🎓 +Serviço Social 🤗 +Portal de descontos em diversos segmentos (Allya) 🤑 +Campanha de vacinação (colaborador e dependente) 💉 +Facilitação no financiamento de veículos 🚗 +Cartão de crédito PAN com limite diferenciado 💳 +Vale Transporte (desconto de apenas 4%) 🚆 +Assistência Funeral 🤍 + + +Assim como todas as nossas vagas, essa também é destinada à diversidade e inclusão. Independentemente de qualquer fator, perfil ou característica, Eleve sua carreira a PAN ! + +Para conhecer mais sobre nossos benefícios e cultura, acesse o Trabalhe Conosco: + +https://www.bancopan.com.br/trabalhe-conosco/ + +Acesse também nossa página na Glassdoor e veja nossas avaliações: + +https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-Banco-PAN-EI_IE1184444.13,22.ht +Show more ","
    + + + + + +
    +
    + Somos o PAN

    Ágeis, flexíveis e criativos, exploramos possibilidades com disposição e desejo de fazer acontecer. Sempre prontos para encarar novos desafios, nutrimos líderes que, além de ter garra, são abertos e empáticos, veem na proximidade das relações, o elo entre cada um.

    Nossa missão, se faz cumprida quando transformamos a vida dos outros através dos nossos conhecimentos. Nossos pilares de cultura, reforçam nossa postura idealizadora e com desejo de fazer acontecer: T rabalho em equipe, O usadia empreendedora e P rotagonismo com profundidade.

    Dominamos nossos processos e trazemos melhorias para quem deseja ter uma vida financeira mais inteligente.

    Principais desafios:

    • Buscar e desenvolver oportunidades de uso de IA (LLM, machine learning) nas
    • diferentes etapas envolvidas no atendimento, para busca de eficiência e melhoria de
    • experiência dos clientes, trabalhando em parceria com outras áreas (ex. Analytics);
    • Analisar a efetividade dos projetos de IA implementados, a partir de diferentes
    • indicadores, e realizar ajustes nos prompts ou programas para melhoria de resultados;
    • Desenvolver e implementar estratégias e processos de coleta de dados, garantindo a
    • integridade e qualidade dos dados coletados (pelos diferentes canais de atendimento);
    • Utilizar ferramentas de análise de dados para identificar tendências, insights e
    • oportunidades de melhoria no atendimento e fluxo do cliente;
    • Colaborar com diferentes áreas do Banco para entender suas necessidades e
    • requisitos em termos de dados e análises relacionados ao atendimento dos clientes;
    • Criar e manter painéis interativos e relatórios no Tableau / QuickSight para monitorar o
    • desempenho do atendimento ao cliente, a partir de métricas pré-definidas.

    Quais as principais competências para a posição?

    • Experiência comprovada em análise de dados, visualização de dados e implementação de projetos com IA (inteligência artificial);
    • Pensamento analítico e habilidades de resolução de problemas e orientação a resultados / entregas em ritmo acelerado;
    • Conhecimento sólido em SQL e experiência em lidar com grandes volumes de dados;
    • Capacidade de coordenação técnica de equipes multidisciplinares e stakeholders em diferentes níveis organizacionais;
    • Habilidades de comunicação verbal e escrita, com capacidade de explicar resultados complexos de análise de dados de forma clara e concisa;
    • (Desejável) conhecimento do setor bancário e familiaridade com métricas de experiência do cliente

    Modelo de atuação: Híbrido (3dias presenciais no escritório e 2 dias de home office)

    Benefícios do PAN:

    • Bônus / PLR 🤑
    • Vale Refeição 🍔
    • Vale Alimentação 🍝
    • 13º de Vale Alimentação 🤌
    • Convênio Médico (internação em apartamento para titular e dependentes) 🏥
    • Convênio Odonto/Ortodôntico 😁
    • Ambulatório Médico no escritório 🚑
    • Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 🩺
    • Seguro de Vida ❤
    • Descontos em mais de 10 mil farmácias 💊
    • 4 Sessões de psicoterapia por mês 🤝
    • Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 👨‍🍼🤱
    • Auxílio Creche / Babá 🎒
    • AcomPANha (programa de acompanhamento para gestantes) 🫃🤰
    • Gympass/Totalpass 💪
    • Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 🦻🦽
    • Day Off Aniversário 🎉
    • Day Off Tempo de Casa 🕛
    • Programa de reconhecimento por tempo de casa 🏆
    • Programas de desenvolvimento 📚
    • Gamificação em certificações e desenvolvimento (BitPANs) 🎫
    • Massagem e Auriculoterapia 💆‍♀️💆‍♂️
    • Salão de beleza no escritório 💇‍♂️💅
    • PAE (Orientação Jurídica, Financeira, Psicológica e Social) 🧑‍🎓
    • Serviço Social 🤗
    • Portal de descontos em diversos segmentos (Allya) 🤑
    • Campanha de vacinação (colaborador e dependente) 💉
    • Facilitação no financiamento de veículos 🚗
    • Cartão de crédito PAN com limite diferenciado 💳
    • Vale Transporte (desconto de apenas 4%) 🚆
    • Assistência Funeral 🤍

    Assim como todas as nossas vagas, essa também é destinada à diversidade e inclusão. Independentemente de qualquer fator, perfil ou característica, Eleve sua carreira a PAN !

    Para conhecer mais sobre nossos benefícios e cultura, acesse o Trabalhe Conosco:

    https://www.bancopan.com.br/trabalhe-conosco/

    Acesse também nossa página na Glassdoor e veja nossas avaliações:

    https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-Banco-PAN-EI_IE1184444.13,22.ht +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3993982500,https://br.linkedin.com/jobs/view/data-scientist-iii-at-banco-bradesco-3993982500?position=27&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=6UTHdVHx0eKmsb6PSyKQlw%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST III,Banco Bradesco,"Osasco, São Paulo, Brazil","req57637 - DATA SCIENTIST III + +Sobre o Bradesco + +Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação. + +E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade. + +Responsabilidades e atribuições + +O que é o nosso time de Compliance, Conduta e Ética. + +Somos a área de Analytics responsável por suportar as necessidades de análises e inovações analíticas do Departamento de Compliance da Organização, nossa missão é prover modelos, indicadores e monitoramentos ao Compliance, mediante análise de dados, machine learning e outras técnicas.da tomada de decisões e a possibilidade de reaproveitamento de informações internas e externas. Isso traz melhoria da eficiência, tanto pela redução dos custos associados à análise e à decisão manual, como pela maior precisão. + +Modelo de trabalho: Híbrido – 2x presencial + +Local: Osasco/SP + +Como será seu dia a dia? + +Sendo Data Scientist III, atuará no Compliance, Confuta e Ética e suas principais atividades serão: + + + +Propor soluções de inteligência através de análises descritivas e/ou diagnósticas que identificam correlações, tendências e insights ocultos, utilizando machine learning e outras técnicas; +Desenvolver indicadores, metodologias e modelos que possam ser utilizados para identificar ou prevenir exposição ao risco de compliance, com o objetivo de recomendar ações que agreguem na atuação do Departamento; +Buscar continuamente atualização das melhores práticas de mercado e inovações tecnológicas, com o objetivo de automatizar procedimentos e/ ou processos, visando contribuir para a melhoria da atuação de Compliance; +Extrair e Estruturar análises com alto volume de dados de fontes diversas; +Implementar controles e medidas para assegurar a confiabilidade das informações; +Comunicar-se rotineiramente com as áreas de Compliance com o objetivo de obter as informações necessárias para a elaboração de estudos ou modelos; +Acompanhar o desempenho de projetos e participar de reuniões de definição de escopo. + + + +Requisitos e Qualificações + +O que você precisa ter ou saber? + + + +Conhecimentos avançados do Pacote Office; +Conhecimentos avançados em pelo menos uma linguagem de programação (SQL, R, SAS, Python ou outras); +Conhecimentos avançados em estatística e Técnicas de Machine Learning, deep learning e NLP; +Conhecimentos avançados em Banco de Dados (Teradata, Hive, Azure); +Conhecimento em validação de dados e de modelos. + + + +Será um diferencial se você tiver: + + + +Conhecimento em Infraestrutura de Big Data (Hadoop, MapReduce e Spark); +Conhecimento em infraestrutura de cloud. + + + +O que nós oferecemos + +No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras. + + + +PLR ou Bônus: Conforme a elegibilidade de cargo* +Convênio Médico +Convênio Odontológico +Seguro de Vida +Vale Alimentação +Vale Refeição +Total Pass (pessoa colaboradora e mais 3 dependentes) +13º Cesta Alimentação +Vale Transporte (adesão opcional) +Descontos em produtos e serviços em empresas parceiras +Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco) +Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida +Unibrad: Universidade Corporativa Bradesco +Isenção de Tarifas: condições especiais em diversos produtos e serviços +Auxílio Creche ou Babá +Licença Paternidade estendida de 20 dias +Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto +Auxílio para filho atípico* + + + +Saiba mais sobre o Bradesco + +Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/. + +Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/. + + +Show more ","
    + + + + + +
    +
    + req57637 - DATA SCIENTIST III

    Sobre o Bradesco

    Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação.

    E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade.

    Responsabilidades e atribuições

    O que é o nosso time de Compliance, Conduta e Ética.

    Somos a área de Analytics responsável por suportar as necessidades de análises e inovações analíticas do Departamento de Compliance da Organização, nossa missão é prover modelos, indicadores e monitoramentos ao Compliance, mediante análise de dados, machine learning e outras técnicas.da tomada de decisões e a possibilidade de reaproveitamento de informações internas e externas. Isso traz melhoria da eficiência, tanto pela redução dos custos associados à análise e à decisão manual, como pela maior precisão.

    Modelo de trabalho: Híbrido – 2x presencial

    Local: Osasco/SP

    Como será seu dia a dia?

    Sendo Data Scientist III, atuará no Compliance, Confuta e Ética e suas principais atividades serão:


    • Propor soluções de inteligência através de análises descritivas e/ou diagnósticas que identificam correlações, tendências e insights ocultos, utilizando machine learning e outras técnicas;
    • Desenvolver indicadores, metodologias e modelos que possam ser utilizados para identificar ou prevenir exposição ao risco de compliance, com o objetivo de recomendar ações que agreguem na atuação do Departamento;
    • Buscar continuamente atualização das melhores práticas de mercado e inovações tecnológicas, com o objetivo de automatizar procedimentos e/ ou processos, visando contribuir para a melhoria da atuação de Compliance;
    • Extrair e Estruturar análises com alto volume de dados de fontes diversas;
    • Implementar controles e medidas para assegurar a confiabilidade das informações;
    • Comunicar-se rotineiramente com as áreas de Compliance com o objetivo de obter as informações necessárias para a elaboração de estudos ou modelos;
    • Acompanhar o desempenho de projetos e participar de reuniões de definição de escopo.


    Requisitos e Qualificações

    O que você precisa ter ou saber?


    • Conhecimentos avançados do Pacote Office;
    • Conhecimentos avançados em pelo menos uma linguagem de programação (SQL, R, SAS, Python ou outras);
    • Conhecimentos avançados em estatística e Técnicas de Machine Learning, deep learning e NLP;
    • Conhecimentos avançados em Banco de Dados (Teradata, Hive, Azure);
    • Conhecimento em validação de dados e de modelos.


    Será um diferencial se você tiver:


    • Conhecimento em Infraestrutura de Big Data (Hadoop, MapReduce e Spark);
    • Conhecimento em infraestrutura de cloud.


    O que nós oferecemos

    No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras.


    • PLR ou Bônus: Conforme a elegibilidade de cargo*
    • Convênio Médico
    • Convênio Odontológico
    • Seguro de Vida
    • Vale Alimentação
    • Vale Refeição
    • Total Pass (pessoa colaboradora e mais 3 dependentes)
    • 13º Cesta Alimentação
    • Vale Transporte (adesão opcional)
    • Descontos em produtos e serviços em empresas parceiras
    • Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
    • Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
    • Unibrad: Universidade Corporativa Bradesco
    • Isenção de Tarifas: condições especiais em diversos produtos e serviços
    • Auxílio Creche ou Babá
    • Licença Paternidade estendida de 20 dias
    • Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto
    • Auxílio para filho atípico*


    Saiba mais sobre o Bradesco

    Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/.

    Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +3926846358,https://br.linkedin.com/jobs/view/engenheiro-de-machine-learning-mlops-cr%C3%A9dito-at-banco-pan-3926846358?position=28&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=UiW9WYVnPqhOTcmq9oUxfw%3D%3D&trk=public_jobs_jserp-result_search-card,Engenheiro de Machine Learning (MLops) - Crédito,Banco PAN,"São Paulo, São Paulo, Brazil","Somos o PAN + +Ágeis, flexíveis e criativos, exploramos possibilidades com disposição e desejo de fazer acontecer. Sempre prontos para encarar novos desafios, nutrimos líderes que, além de ter garra, são abertos e empáticos, veem na proximidade das relações, o elo entre cada um. + +Nossa missão, se faz cumprida quando transformamos a vida dos outros através dos nossos conhecimentos. Nossos pilares de cultura, reforçam nossa postura idealizadora e com desejo de fazer acontecer: T rabalho em equipe, O usadia empreendedora e P rotagonismo com profundidade. + +Dominamos nossos processos e trazemos melhorias para quem deseja ter uma vida financeira mais inteligente. + +Principais desafios: + + +Criação e manutenção de toda a matéria prima dos modelos de crédito; +Implantação de modelos na plataforma de MLOps com foco no aumento de rentabilidade; +Automatização dos processos de modelagem e estratégia de crédito através de scripts e bibliotecas Python; +Exploração de pipelines de dados; +Construção de fluxos eficientes de criação dos books; +Análise e apresentação de ganhos de discriminação de risco de crédito de cada variável. + + +Quais as principais competências para a posição? + + +Ensino Superior em Ciência da Computação; Engenharias, Física ou similares; +Conhecimento avançado em programação em SQL e Python; +Vivencia com AWS; +Experiência com automação de processos e construção de pipelines de dados, especialmente em contexto de mercado financeiro; +Implantação de modelos. + + +Modelo de atuação: Híbrido (4 dias presencial no escritório e 1 dia de home office). + +Benefícios do PAN: + + +Bônus / PLR 🤑 +Vale Refeição 🍔 +Vale Alimentação 🍝 +13º de Vale Alimentação 🤌 +Convênio Médico (internação em apartamento para titular e dependentes) 🏥 +Convênio Odonto/Ortodôntico 😁 +Ambulatório Médico no escritório 🚑 +Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 🩺 +Seguro de Vida ❤ +Descontos em mais de 10 mil farmácias 💊 +4 Sessões de psicoterapia por mês 🤝 +Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 👨‍🍼🤱 +Auxílio Creche / Babá 🎒 +AcomPANha (programa de acompanhamento para gestantes) 🫃🤰 +Gympass/Totalpass 💪 +Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 🦻🦽 +Day Off Aniversário 🎉 +Day Off Tempo de Casa 🕛 +Programa de reconhecimento por tempo de casa 🏆 +Programas de desenvolvimento 📚 +Gamificação em certificações e desenvolvimento (BitPANs) 🎫 +Massagem e Auriculoterapia 💆‍♀️💆‍♂️ +Salão de beleza no escritório 💇‍♂️💅 +PAE (Orientação Jurídica, Financeira, Psicológica e Social) 🧑‍🎓 +Serviço Social 🤗 +Portal de descontos em diversos segmentos (Allya) 🤑 +Campanha de vacinação (colaborador e dependente) 💉 +Facilitação no financiamento de veículos 🚗 +Cartão de crédito PAN com limite diferenciado 💳 +Vale Transporte (desconto de apenas 4%) 🚆 +Assistência Funeral 🤍 + + +Assim como todas as nossas vagas, essa também é destinada à diversidade e inclusão. Independentemente de qualquer fator, perfil ou característica, Eleve sua carreira a PAN ! + +Para conhecer mais sobre nossos benefícios e cultura, acesse o Trabalhe Conosco: + +https://www.bancopan.com.br/trabalhe-conosco/ + +Acesse também nossa página na Glassdoor e veja nossas avaliações: + +https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-Banco-PAN-EI_IE1184444.13,22.ht +Show more ","
    + + + + + +
    +
    + Somos o PAN

    Ágeis, flexíveis e criativos, exploramos possibilidades com disposição e desejo de fazer acontecer. Sempre prontos para encarar novos desafios, nutrimos líderes que, além de ter garra, são abertos e empáticos, veem na proximidade das relações, o elo entre cada um.

    Nossa missão, se faz cumprida quando transformamos a vida dos outros através dos nossos conhecimentos. Nossos pilares de cultura, reforçam nossa postura idealizadora e com desejo de fazer acontecer: T rabalho em equipe, O usadia empreendedora e P rotagonismo com profundidade.

    Dominamos nossos processos e trazemos melhorias para quem deseja ter uma vida financeira mais inteligente.

    Principais desafios:

    • Criação e manutenção de toda a matéria prima dos modelos de crédito;
    • Implantação de modelos na plataforma de MLOps com foco no aumento de rentabilidade;
    • Automatização dos processos de modelagem e estratégia de crédito através de scripts e bibliotecas Python;
    • Exploração de pipelines de dados;
    • Construção de fluxos eficientes de criação dos books;
    • Análise e apresentação de ganhos de discriminação de risco de crédito de cada variável.

    Quais as principais competências para a posição?

    • Ensino Superior em Ciência da Computação; Engenharias, Física ou similares;
    • Conhecimento avançado em programação em SQL e Python;
    • Vivencia com AWS;
    • Experiência com automação de processos e construção de pipelines de dados, especialmente em contexto de mercado financeiro;
    • Implantação de modelos.

    Modelo de atuação: Híbrido (4 dias presencial no escritório e 1 dia de home office).

    Benefícios do PAN:

    • Bônus / PLR 🤑
    • Vale Refeição 🍔
    • Vale Alimentação 🍝
    • 13º de Vale Alimentação 🤌
    • Convênio Médico (internação em apartamento para titular e dependentes) 🏥
    • Convênio Odonto/Ortodôntico 😁
    • Ambulatório Médico no escritório 🚑
    • Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 🩺
    • Seguro de Vida ❤
    • Descontos em mais de 10 mil farmácias 💊
    • 4 Sessões de psicoterapia por mês 🤝
    • Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 👨‍🍼🤱
    • Auxílio Creche / Babá 🎒
    • AcomPANha (programa de acompanhamento para gestantes) 🫃🤰
    • Gympass/Totalpass 💪
    • Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 🦻🦽
    • Day Off Aniversário 🎉
    • Day Off Tempo de Casa 🕛
    • Programa de reconhecimento por tempo de casa 🏆
    • Programas de desenvolvimento 📚
    • Gamificação em certificações e desenvolvimento (BitPANs) 🎫
    • Massagem e Auriculoterapia 💆‍♀️💆‍♂️
    • Salão de beleza no escritório 💇‍♂️💅
    • PAE (Orientação Jurídica, Financeira, Psicológica e Social) 🧑‍🎓
    • Serviço Social 🤗
    • Portal de descontos em diversos segmentos (Allya) 🤑
    • Campanha de vacinação (colaborador e dependente) 💉
    • Facilitação no financiamento de veículos 🚗
    • Cartão de crédito PAN com limite diferenciado 💳
    • Vale Transporte (desconto de apenas 4%) 🚆
    • Assistência Funeral 🤍

    Assim como todas as nossas vagas, essa também é destinada à diversidade e inclusão. Independentemente de qualquer fator, perfil ou característica, Eleve sua carreira a PAN !

    Para conhecer mais sobre nossos benefícios e cultura, acesse o Trabalhe Conosco:

    https://www.bancopan.com.br/trabalhe-conosco/

    Acesse também nossa página na Glassdoor e veja nossas avaliações:

    https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-Banco-PAN-EI_IE1184444.13,22.ht +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-11,[] +3998508003,https://br.linkedin.com/jobs/view/cientista-de-dados-%E2%80%93-especialista-at-minerva-foods-3998508003?position=29&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=R%2FN5rvUL6MfFd%2FXcTFDvSg%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de Dados – Especialista,Minerva Foods,"São Paulo, São Paulo, Brazil","A Minerva Foods é líder na exportação de carne bovina na América do Sul e atua no segmento de carnes processadas, comercializando seus produtos em mais de 100 países. Além do Brasil, a Minerva Foods está presente na Argentina, Colômbia, Paraguai, Uruguai e Austrália. Nesse contexto, o time de Business Analytics auxilia a empresa com soluções analíticas potencializando o resultado global. + +O especialista em Ciência de Dados será responsável por traduzir as necessidades e oportunidades de negócio em soluções matemáticas e estatísticas automatizando e gerando insights para a área de negócio. Faz parte da responsabilidade imergir em toda a cadeia de negócio a ponto de propor soluções para áreas parceiras a fim de melhorar o resultado da empresa. + +A atuação do especialista é transversal as áreas de negócio agindo em uma estrutura centralizada de Analytics. Também deve contribuir com as áreas pares de afim de potencializar as soluções geradas nas frentes de projetos, processos e pesquisa operacional. Contamos com a experiência do especialista para ser uma vitrine de boas práticas para outros DS. + + + + +Principais Atividades e Experiências + +Identificar oportunidades de soluções de modelagem e machine learning no negócio, propondo automações e direcionamentos matemático e estatístico ao negócio; +Garantir que as soluções de machine learning sigam as melhores práticas como prototipagem da solução, testes de hipótese, treinamento e validação da solução sobre o negócio propondo as técnicas corretas para o tipo necessidade do negócio; +Saber lidar com área de negócio explicando soluções complexas de forma simples; +Saber aplicar pipelines que garantam a velocidade nas soluções ajustando os dados fornecido pela área de engenharia de dados transformando-os em variáveis dos modelos; +Performar na etapa de análise das variáveis a ponto de traduzir o negócio em informação possibilidade de aplicar soluções mais simples como classificadores; +Questionar as soluções de DS do time a ponto de gerar insights e melhorias significantes nas soluções que já temos hoje; +Direcionar e explicar as soluções geradas para os DS menos experientes aumentando a curva de aprendizagem do time. + + + + +Pré-requisitos + +6 anos de experiência com soluções de machine learning ou modelagem estatística; +Experiência comprovada na utilização de python (principal ferramenta) e spark, assim como pandas, numpy, scikit, seaborn; +Ferramentas de versionamento: Ter conhecimento em bitbucket, Git; +Banco de dados: conhecimento avançado de bancos de dados relacional e não relacional; +Capacidade de liderar e gerenciar equipes multidisciplinares; +Desejável: Experiência com o desenvolvimento e implementação de APIs; +Desejável: Inglês - Nível Intermediário; +Desejável: Mestrado ou pós-graduação em ciência da computação ou relatadas. + + + + +Esta vaga está aberta para pessoas com deficiência (PcD). + +Show more ","
    + + + + + +
    +
    +

    A Minerva Foods é líder na exportação de carne bovina na América do Sul e atua no segmento de carnes processadas, comercializando seus produtos em mais de 100 países. Além do Brasil, a Minerva Foods está presente na Argentina, Colômbia, Paraguai, Uruguai e Austrália. Nesse contexto, o time de Business Analytics auxilia a empresa com soluções analíticas potencializando o resultado global.

    O especialista em Ciência de Dados será responsável por traduzir as necessidades e oportunidades de negócio em soluções matemáticas e estatísticas automatizando e gerando insights para a área de negócio. Faz parte da responsabilidade imergir em toda a cadeia de negócio a ponto de propor soluções para áreas parceiras a fim de melhorar o resultado da empresa.

    A atuação do especialista é transversal as áreas de negócio agindo em uma estrutura centralizada de Analytics. Também deve contribuir com as áreas pares de afim de potencializar as soluções geradas nas frentes de projetos, processos e pesquisa operacional. Contamos com a experiência do especialista para ser uma vitrine de boas práticas para outros DS.


    Principais Atividades e Experiências

    • Identificar oportunidades de soluções de modelagem e machine learning no negócio, propondo automações e direcionamentos matemático e estatístico ao negócio;
    • Garantir que as soluções de machine learning sigam as melhores práticas como prototipagem da solução, testes de hipótese, treinamento e validação da solução sobre o negócio propondo as técnicas corretas para o tipo necessidade do negócio;
    • Saber lidar com área de negócio explicando soluções complexas de forma simples;
    • Saber aplicar pipelines que garantam a velocidade nas soluções ajustando os dados fornecido pela área de engenharia de dados transformando-os em variáveis dos modelos;
    • Performar na etapa de análise das variáveis a ponto de traduzir o negócio em informação possibilidade de aplicar soluções mais simples como classificadores;
    • Questionar as soluções de DS do time a ponto de gerar insights e melhorias significantes nas soluções que já temos hoje;
    • Direcionar e explicar as soluções geradas para os DS menos experientes aumentando a curva de aprendizagem do time.


    Pré-requisitos

    • 6 anos de experiência com soluções de machine learning ou modelagem estatística;
    • Experiência comprovada na utilização de python (principal ferramenta) e spark, assim como pandas, numpy, scikit, seaborn;
    • Ferramentas de versionamento: Ter conhecimento em bitbucket, Git;
    • Banco de dados: conhecimento avançado de bancos de dados relacional e não relacional;
    • Capacidade de liderar e gerenciar equipes multidisciplinares;
    • Desejável: Experiência com o desenvolvimento e implementação de APIs;
    • Desejável: Inglês - Nível Intermediário;
    • Desejável: Mestrado ou pós-graduação em ciência da computação ou relatadas.


    Esta vaga está aberta para pessoas com deficiência (PcD).

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3994758677,https://br.linkedin.com/jobs/view/data-scientist-iii-at-banco-bradesco-3994758677?position=32&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=kn7OkZjo3Hq4%2F3b7kUmK1w%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST III,Banco Bradesco,"Osasco, São Paulo, Brazil","req58095 - DATA SCIENTIST III + +Sobre o Bradesco + +Acreditamos que é possível desafiar o futuro com pessoas e tecnologia, e reconhecemos nas pessoas, especialmente, um dos mais importantes motivos de nosso sucesso. Assim, proporcionamos aos nossos colaboradores um ambiente seguro, diverso e inclusivo, que inspira confiança, promove e estimula o desenvolvimento pessoal e profissional. + +Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação. + +E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de br asileiros, contribuindo para o desenvolvimento da sociedade. + +Responsabilidades e atribuições + +O que é o nosso time de Controle Integrado de Riscos? + +O objetivo é avaliar e gerir os riscos da organização de forma estratégica e holística, salvaguardando os interesses dos stakeholders, a reputação e a marca da organização e potencializando o funcionamento das demais áreas de riscos na organização. + +Modelo de trabalho : Híbrido – 3x presenciais e 2x remoto + +Unidade: Osasco + +Como será seu dia a dia? + +O Data Scientist garantirá que as áreas de risco se comuniquem de forma clara e participará na gestão da mudança em relação à visão de riscos, conforme as responsabilidades abaixo: + + + +Construir e suportar modelos de machine learning/deep learning com foco em identificar perfis, padrões e comportamento de clientes para gerar indicadores financeiros do negócio +Aplicar conhecimentos estatísticos, de otimização, analíticos e/ou de machine learning em insights e hipóteses +Mapear necessidades das áreas de negócios e riscos, avaliar necessidade de dados, construir códigos analíticos e acompanhar a implementação de análises +Comunicar os resultados por meio de apresentações executivas e relatórios +Trabalhar em parceria com os times de negócio, engenheiros de dados e times de tecnologia para desenvolvimento e deploy de solução de machine learning +Ser referência técnica para o time em assuntos de dados e modelagem, qualificando a discussão com referências cientificas e metodológicas + + + +Requisitos e Qualificações + +O que você precisa ter ou saber? + + + +Engenharias, Matemática, Estatística, Economia e correlatas +Capacidade de manipular grandes bases de dados realizando todo o processo end to end de ETL +Conhecimento avançado em Python e SQL +Vivência na construção de modelos de machine learning não-supervisionados de dados +Conhecimento em SAS intermediário +Capacidade analítica para transformar dados em insights acionáveis (data driven) +Capacidade de construir storytelling e apresentações para comunicar os insights de forma clara e objetiva +Certificação: Azure Data Scientist Associate + + + +Será considerado um diferencial: + + + +Certificação: AWS Certified Machine Learning Engineer - Associate Certificação: Google Cloud Professional Machine Learning Engineer +Conhecimento em Photoshop, Canva, ou outras ferramentas de design + + + +O que nós oferecemos + +No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras. + + + +PLR ou Bônus: Conforme a elegibilidade de cargo* +Convênio Médico +Convênio Odontológico +Seguro de Vida +Vale Alimentação +Vale Refeição +13º Cesta Alimentação +Total Pass +Vale Transporte (adesão opcional) +Descontos em produtos e serviços em empresas parceiras +Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco) +Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida +Unibrad: Universidade Corporativa Bradesco +Isenção de Tarifas: condições especiais em diversos produtos e serviços +Auxílio Creche ou Babá +Licença Paternidade estendida de 20 dias +Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto + + + +Saiba mais sobre o Bradesco + +Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ . + +Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +Show more ","
    + + + + + +
    +
    + req58095 - DATA SCIENTIST III

     Sobre o Bradesco

    Acreditamos que é possível desafiar o futuro com pessoas e tecnologia, e reconhecemos nas pessoas, especialmente, um dos mais importantes motivos de nosso sucesso. Assim, proporcionamos aos nossos colaboradores um ambiente seguro, diverso e inclusivo, que inspira confiança, promove e estimula o desenvolvimento pessoal e profissional.

    Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação.

    E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de br asileiros, contribuindo para o desenvolvimento da sociedade.

    Responsabilidades e atribuições

    O que é o nosso time de Controle Integrado de Riscos?

    O objetivo é avaliar e gerir os riscos da organização de forma estratégica e holística, salvaguardando os interesses dos stakeholders, a reputação e a marca da organização e potencializando o funcionamento das demais áreas de riscos na organização.

    Modelo de trabalho : Híbrido – 3x presenciais e 2x remoto

    Unidade: Osasco

    Como será seu dia a dia?

    O Data Scientist garantirá que as áreas de risco se comuniquem de forma clara e participará na gestão da mudança em relação à visão de riscos, conforme as responsabilidades abaixo:


    • Construir e suportar modelos de machine learning/deep learning com foco em identificar perfis, padrões e comportamento de clientes para gerar indicadores financeiros do negócio
    • Aplicar conhecimentos estatísticos, de otimização, analíticos e/ou de machine learning em insights e hipóteses
    • Mapear necessidades das áreas de negócios e riscos, avaliar necessidade de dados, construir códigos analíticos e acompanhar a implementação de análises
    • Comunicar os resultados por meio de apresentações executivas e relatórios
    • Trabalhar em parceria com os times de negócio, engenheiros de dados e times de tecnologia para desenvolvimento e deploy de solução de machine learning
    • Ser referência técnica para o time em assuntos de dados e modelagem, qualificando a discussão com referências cientificas e metodológicas


    Requisitos e Qualificações

    O que você precisa ter ou saber?


    • Engenharias, Matemática, Estatística, Economia e correlatas
    • Capacidade de manipular grandes bases de dados realizando todo o processo end to end de ETL
    • Conhecimento avançado em Python e SQL
    • Vivência na construção de modelos de machine learning não-supervisionados de dados
    • Conhecimento em SAS intermediário
    • Capacidade analítica para transformar dados em insights acionáveis (data driven)
    • Capacidade de construir storytelling e apresentações para comunicar os insights de forma clara e objetiva
    • Certificação: Azure Data Scientist Associate


    Será considerado um diferencial:


    • Certificação: AWS Certified Machine Learning Engineer - Associate Certificação: Google Cloud Professional Machine Learning Engineer
    • Conhecimento em Photoshop, Canva, ou outras ferramentas de design


    O que nós oferecemos

    No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras.


    • PLR ou Bônus: Conforme a elegibilidade de cargo*
    • Convênio Médico
    • Convênio Odontológico
    • Seguro de Vida
    • Vale Alimentação
    • Vale Refeição
    • 13º Cesta Alimentação
    • Total Pass
    • Vale Transporte (adesão opcional)
    • Descontos em produtos e serviços em empresas parceiras
    • Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
    • Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
    • Unibrad: Universidade Corporativa Bradesco
    • Isenção de Tarifas: condições especiais em diversos produtos e serviços
    • Auxílio Creche ou Babá
    • Licença Paternidade estendida de 20 dias
    • Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto


    Saiba mais sobre o Bradesco

    Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ .

    Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3975046142,https://br.linkedin.com/jobs/view/analista-pl-cientista-de-dados-de-mat%C3%A9rias-primas-at-braskem-3975046142?position=33&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=pnwTsMfjAhFr2Qp4lgG5Xg%3D%3D&trk=public_jobs_jserp-result_search-card,Analista PL - Cientista de dados de Matérias Primas,Braskem,Greater São Paulo Area,"Job Description + +Nessa posição você será integrante da gerência de Controles e Gestão de dados de Matérias Primas e será responsável por dar suporte as gerências de MP Petroquímicas e MP Renováveis na Diretoria de Matérias Primas de O&P SAM e na diretoria de Trading & Shipping O&P EUROPA/ASIA. + +Será responsável pela análise e gestão de dados da diretoria de matérias primas, apoio a estratégia global do negócio, gestão de derivativos (Middle Office) e mitigação de riscos financeiros. + +Responsabilidades e Atribuições: + + + +Gestão de dados de Matérias primas Fosseis e Renováveis e Chartering. +Criação e atualização de reportes e KPIs (PowerBI) com foco na gestão do negócio de matérias primas (Trading, Inteligencia de mercado, PnL) +Apoio a estratégia de compras de Materias primas globais da Braskem. +Apuração de realizado e projeção periódica do budget da diretoria de MP da Braskem. +Gestão de derivativos (controle total sobre o processo de Hedging de Materias Primas/Nafta), Acompanhar lucros e perdas das negociações (pnL); +Atividades de Middle Office (Garantir que todas as transações estejam de acordo com a estratégia aprovada de Derivativos) +Participar de projetos especiais, incluindo, mas não se limitando a análise de desempenho, implementação e suporte para novas iniciativas de negociação, e fornecimento de especificações e testes para novas tecnologias; +Monitorar o front office para garantir que os limites de risco sejam respeitados e relatar sempre que um trader ou portfólio estiver fora dos limites ou acima do mandato de negociação; +Assegurar que todos os membros da equipe sigam estritamente os procedimentos internos e as políticas da empresa. Aderir ao Código de Conduta da Braskem; +Cultivar e aprimorar relações estratégicas com contrapartes para desenvolver oportunidades, expandir a presença no mercado e aumentar o potencial de negociação; +Tratar de transações intercompany e interagir com a equipe de importação de matérias-primas e a equipe de conformidade no Brasil. + + + +Pré Requisitos + + + +Formação completa em Engenharia / Administração ou áreas correlatas +Pacote office (domínio completo) +Conhecimento em derivativos e gestão de dados +Inglês Avançado + + + +About Us + +Na Braskem encorajamos nossos integrantes a fazerem a diferença todos os dias, evoluindo e aprendendo sempre, em um ambiente de trabalho dinâmico, inspirador e flexível. + +Somos inquietos, queremos ir além, por isso, estimulamos e buscamos pessoas que nos desafiem. + +Acreditamos que atitudes inovadoras transformam a sociedade e o planeta, por isso, a inovação está em tudo que fazemos, nos nossos produtos, processos e também na forma como trabalhamos. + +Aqui, as pessoas são incentivadas a construírem seu próprio caminho, com inúmeras oportunidades de desenvolvimento e possibilidades de carreira. + +Na Braskem você é livre para ser você! + +Somos inspirados todos os dias por meio de diferentes experiências. Valorizamos a autonomia, colaboração, liberdade e diversidade, e temos o compromisso de promover um ambiente de trabalho inclusivo sem distinção de pessoas com deficiência, gênero, orientação sexual, raça, idade, origem, constituição familiar e estética. Trabalhamos todas as nossas vagas com base nessa premissa. + +Faça parte do nosso time! #VocêNosMoveaDiante +Show more ","
    + + + + + +
    +
    + Job Description

    Nessa posição você será integrante da gerência de Controles e Gestão de dados de Matérias Primas e será responsável por dar suporte as gerências de MP Petroquímicas e MP Renováveis na Diretoria de Matérias Primas de O&P SAM e na diretoria de Trading & Shipping O&P EUROPA/ASIA.

    Será responsável pela análise e gestão de dados da diretoria de matérias primas, apoio a estratégia global do negócio, gestão de derivativos (Middle Office) e mitigação de riscos financeiros.

    Responsabilidades e Atribuições:


    • Gestão de dados de Matérias primas Fosseis e Renováveis e Chartering.
    • Criação e atualização de reportes e KPIs (PowerBI) com foco na gestão do negócio de matérias primas (Trading, Inteligencia de mercado, PnL)
    • Apoio a estratégia de compras de Materias primas globais da Braskem.
    • Apuração de realizado e projeção periódica do budget da diretoria de MP da Braskem.
    • Gestão de derivativos (controle total sobre o processo de Hedging de Materias Primas/Nafta), Acompanhar lucros e perdas das negociações (pnL);
    • Atividades de Middle Office (Garantir que todas as transações estejam de acordo com a estratégia aprovada de Derivativos)
    • Participar de projetos especiais, incluindo, mas não se limitando a análise de desempenho, implementação e suporte para novas iniciativas de negociação, e fornecimento de especificações e testes para novas tecnologias;
    • Monitorar o front office para garantir que os limites de risco sejam respeitados e relatar sempre que um trader ou portfólio estiver fora dos limites ou acima do mandato de negociação;
    • Assegurar que todos os membros da equipe sigam estritamente os procedimentos internos e as políticas da empresa. Aderir ao Código de Conduta da Braskem;
    • Cultivar e aprimorar relações estratégicas com contrapartes para desenvolver oportunidades, expandir a presença no mercado e aumentar o potencial de negociação;
    • Tratar de transações intercompany e interagir com a equipe de importação de matérias-primas e a equipe de conformidade no Brasil.


    Pré Requisitos


    • Formação completa em Engenharia / Administração ou áreas correlatas
    • Pacote office (domínio completo)
    • Conhecimento em derivativos e gestão de dados
    • Inglês Avançado


    About Us

     Na Braskem encorajamos nossos integrantes a fazerem a diferença todos os dias, evoluindo e aprendendo sempre, em um ambiente de trabalho dinâmico, inspirador e flexível.

    Somos inquietos, queremos ir além, por isso, estimulamos e buscamos pessoas que nos desafiem.

    Acreditamos que atitudes inovadoras transformam a sociedade e o planeta, por isso, a inovação está em tudo que fazemos, nos nossos produtos, processos e também na forma como trabalhamos.

    Aqui, as pessoas são incentivadas a construírem seu próprio caminho, com inúmeras oportunidades de desenvolvimento e possibilidades de carreira.

    Na Braskem você é livre para ser você!

    Somos inspirados todos os dias por meio de diferentes experiências. Valorizamos a autonomia, colaboração, liberdade e diversidade, e temos o compromisso de promover um ambiente de trabalho inclusivo sem distinção de pessoas com deficiência, gênero, orientação sexual, raça, idade, origem, constituição familiar e estética. Trabalhamos todas as nossas vagas com base nessa premissa.

    Faça parte do nosso time! #VocêNosMoveaDiante +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +3990422692,https://br.linkedin.com/jobs/view/data-scientist-iii-at-banco-bradesco-3990422692?position=34&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=WufoTmo8ZuDocM%2B36ov%2Fcw%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST III,Banco Bradesco,"Osasco, São Paulo, Brazil","Sobre o Bradesco + +Acreditamos que é possível desafiar o futuro com pessoas e tecnologia, e reconhecemos nas pessoas, especialmente, um dos mais importantes motivos de nosso sucesso. Assim, proporcionamos aos nossos colaboradores um ambiente seguro, diverso e inclusivo, que inspira confiança, promove e estimula o desenvolvimento pessoal e profissional. + +Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação. + +E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade. + +Responsabilidades e atribuições + +O que é o nosso time de Avaliação Independente de Modelos (AVIM)? + +O Departamento AVIM – Avaliação de Modelos Independentes, se tratando de simplificações da realidade, os modelos são sujeitos a riscos, que podem desencadear perdas relacionadas a decisões baseadas em estimativas incorretas ou obsoletas ou, ainda, uso inapropriado. Para identificar e mitigar esses riscos, a Área de Avaliação Independente de Modelos (AVIM) atua efetivamente no fortalecimento do uso de modelos, realizando ações de aculturamento e disseminando as boas práticas em modelagem + +Modelo de trabalho : Híbrido + +Unidade: 2 dias presenciais e 3 dias remotos + +Como será seu dia a dia? + +Sendo Data Scientist III, atuará na gerência de validação de modelos e suas principais atividades serão: + + + +Avaliar o desempenho dos modelos utilizados pela Organização para medir o grau de exposição ao risco e propor adequações e/ou ajustes que agreguem valor ao negócio, com vistas ao cumprimento de demandas regulatórias e/ou da Diretoria; +Revisar e validar os novos modelos de mensuração de risco e capital, emitindo pareceres sobre a adequação dos critérios de desenvolvimento e capacidade preditiva dos modelos e sua assertividade; +Testes de aderência das estimativas dos modelos de riscos aos resultados obtidos, com vistas a amparar o processo de validação do sistema de mensuração, teste de estresse e backtesting; +Elaborar relatórios de validação de modelos e apresentar os resultados em diversos fóruns; +Executar a validação do ambiente tecnológico no qual os modelos de riscos e capital utilizados pela Organização estão inseridos, com o propósito de aferir que as informações estejam integras e consistentes, procurando evidenciar o alinhamento com as melhores práticas de Governança e controles de TI; + + + +Requisitos e Qualificações + +O que você precisa ter ou saber? + + + +Graduação completa em Matemática, Física, Ciência Atuaria, Economia ou Engenharia. +Conhecimento em estatística descritiva e técnicas de amostragem; +Conhecimento em técnicas de modelagem (regressão logística, árvore de decisão, ajuste de séries temporais, técnicas de machine learning); +Conhecimento avançado em Matemática Financeira e produtos bancários; +Conhecimento em fraude; +Conhecimento em SAS, PowerBI e Pacote Office; + + + +Será um diferencial se você tiver: + + + +Mestrado ou MBA e Gestão de Riscos ou Ciência de Dados +Conhecimento em linguagem R e Python; + + + +O que nós oferecemos + +No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras. + + + +PLR ou Bônus: Conforme a elegibilidade de cargo* +Convênio Médico +Convênio Odontológico +Seguro de Vida +Vale Alimentação +Vale Refeição +13º Cesta Alimentação +Total Pass +Vale Transporte (adesão opcional) +Descontos em produtos e serviços em empresas parceiras +Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco) +Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida +Unibrad: Universidade Corporativa Bradesco +Isenção de Tarifas: condições especiais em diversos produtos e serviços +Auxílio Creche ou Babá +Licença Paternidade estendida de 20 dias +Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto + + + +Saiba mais sobre o Bradesco + +Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ . + +Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +Show more ","
    + + + + + +
    +
    + Sobre o Bradesco

    Acreditamos que é possível desafiar o futuro com pessoas e tecnologia, e reconhecemos nas pessoas, especialmente, um dos mais importantes motivos de nosso sucesso. Assim, proporcionamos aos nossos colaboradores um ambiente seguro, diverso e inclusivo, que inspira confiança, promove e estimula o desenvolvimento pessoal e profissional.

    Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação.

    E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade.

    Responsabilidades e atribuições

    O que é o nosso time de Avaliação Independente de Modelos (AVIM)?

    O Departamento AVIM – Avaliação de Modelos Independentes, se tratando de simplificações da realidade, os modelos são sujeitos a riscos, que podem desencadear perdas relacionadas a decisões baseadas em estimativas incorretas ou obsoletas ou, ainda, uso inapropriado. Para identificar e mitigar esses riscos, a Área de Avaliação Independente de Modelos (AVIM) atua efetivamente no fortalecimento do uso de modelos, realizando ações de aculturamento e disseminando as boas práticas em modelagem

    Modelo de trabalho : Híbrido

    Unidade: 2 dias presenciais e 3 dias remotos

    Como será seu dia a dia?

    Sendo Data Scientist III, atuará na gerência de validação de modelos e suas principais atividades serão:


    • Avaliar o desempenho dos modelos utilizados pela Organização para medir o grau de exposição ao risco e propor adequações e/ou ajustes que agreguem valor ao negócio, com vistas ao cumprimento de demandas regulatórias e/ou da Diretoria;
    • Revisar e validar os novos modelos de mensuração de risco e capital, emitindo pareceres sobre a adequação dos critérios de desenvolvimento e capacidade preditiva dos modelos e sua assertividade;
    • Testes de aderência das estimativas dos modelos de riscos aos resultados obtidos, com vistas a amparar o processo de validação do sistema de mensuração, teste de estresse e backtesting;
    • Elaborar relatórios de validação de modelos e apresentar os resultados em diversos fóruns;
    • Executar a validação do ambiente tecnológico no qual os modelos de riscos e capital utilizados pela Organização estão inseridos, com o propósito de aferir que as informações estejam integras e consistentes, procurando evidenciar o alinhamento com as melhores práticas de Governança e controles de TI;


    Requisitos e Qualificações

    O que você precisa ter ou saber?


    • Graduação completa em Matemática, Física, Ciência Atuaria, Economia ou Engenharia.
    • Conhecimento em estatística descritiva e técnicas de amostragem;
    • Conhecimento em técnicas de modelagem (regressão logística, árvore de decisão, ajuste de séries temporais, técnicas de machine learning);
    • Conhecimento avançado em Matemática Financeira e produtos bancários;
    • Conhecimento em fraude;
    • Conhecimento em SAS, PowerBI e Pacote Office;


    Será um diferencial se você tiver:


    • Mestrado ou MBA e Gestão de Riscos ou Ciência de Dados
    • Conhecimento em linguagem R e Python;


    O que nós oferecemos

    No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras.


    • PLR ou Bônus: Conforme a elegibilidade de cargo*
    • Convênio Médico
    • Convênio Odontológico
    • Seguro de Vida
    • Vale Alimentação
    • Vale Refeição
    • 13º Cesta Alimentação
    • Total Pass
    • Vale Transporte (adesão opcional)
    • Descontos em produtos e serviços em empresas parceiras
    • Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
    • Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
    • Unibrad: Universidade Corporativa Bradesco
    • Isenção de Tarifas: condições especiais em diversos produtos e serviços
    • Auxílio Creche ou Babá
    • Licença Paternidade estendida de 20 dias
    • Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto


    Saiba mais sobre o Bradesco

    Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ .

    Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +3994300729,https://br.linkedin.com/jobs/view/data-scientist-at-bipa-3994300729?position=35&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=zeHOqJxKfaDw21VkAI0%2BTw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Bipa,"São Paulo, São Paulo, Brazil","O Que Estamos Procurando + +Buscamos um Senior Data Scientist experiente e apaixonado por transformar dados complexos em insights acionáveis. O candidato ideal combinará expertise técnica em ciência de dados com uma compreensão profunda do setor financeiro e de criptomoedas. Você desempenhará um papel crucial na otimização de nossos produtos, na melhoria da experiência do cliente e no direcionamento do crescimento do negócio através de análises avançadas e modelagem preditiva. + +Principais Responsabilidades + + +Liderar projetos de ciência de dados end-to-end, desde a concepção até a implementação e monitoramento; +Desenvolver modelos preditivos e algoritmos de machine learning para otimizar processos de negócio, detecção de fraudes e personalização de produtos; +Analisar grandes volumes de dados transacionais e comportamentais para extrair insights valiosos sobre os clientes e o mercado; +Criar dashboards e visualizações de dados para comunicar insights de forma eficaz para stakeholders não técnicos; +Colaborar com equipes de produto, marketing e risco para implementar soluções baseadas em dados; +Desenvolver e manter pipelines de dados robustos e escaláveis; +Implementar técnicas avançadas de análise estatística para identificar tendências e padrões no mercado de criptomoedas; +Liderar iniciativas de experimentação A/B para otimizar funcionalidades do produto e campanhas de marketing; +Mentorar cientistas de dados juniores e promover uma cultura de excelência analítica na empresa; +Manter-se atualizado sobre as últimas tendências e técnicas em ciência de dados, machine learning e IA; +Contribuir para a estratégia de dados da empresa, identificando oportunidades de uso inovador de dados e analytics. + + +Qualificações + + +Mestrado ou Doutorado em Ciência da Computação, Estatística, Matemática ou campo relacionado; +Mínimo de 5 anos de experiência em ciência de dados, com pelo menos 2 anos em posição sênior, preferencialmente no setor financeiro ou de tecnologia; +Proficiência avançada em Python ou R, e familiaridade com ferramentas de big data como Spark, Hadoop; +Experiência sólida com técnicas de machine learning, deep learning e análise estatística; +Conhecimento prático de SQL e bancos de dados NoSQL; +Experiência com ferramentas de visualização de dados como Tableau, PowerBI ou similares; +Forte compreensão de metodologias ágeis e experiência em trabalhar em sprints de produto; +Excelentes habilidades de comunicação, capaz de traduzir análises complexas em insights acionáveis para stakeholders não técnicos; +Experiência em implementação de soluções de ML em ambientes de produção; +Conhecimento de práticas de DevOps e MLOps é um diferencial; +Familiaridade com cloud computing (AWS, GCP ou Azure); +Compreensão do mercado de Bitcoin e tecnologias financeiras é um forte diferencial; +Histórico comprovado de publicações ou apresentações em conferências de ciência de dados será valorizado; +Inglês fluente para acompanhamento de literatura técnica. + + +Benefícios + +🏥 Plano de Saúde + +💉Plano Odontológico + +🍽️ Vale-refeição CAJU + +💻 Auxílio Home Office + +📈 Stock options desde o dia zero. +Show more ","
    + + + + + +
    +
    + O Que Estamos Procurando

    Buscamos um Senior Data Scientist experiente e apaixonado por transformar dados complexos em insights acionáveis. O candidato ideal combinará expertise técnica em ciência de dados com uma compreensão profunda do setor financeiro e de criptomoedas. Você desempenhará um papel crucial na otimização de nossos produtos, na melhoria da experiência do cliente e no direcionamento do crescimento do negócio através de análises avançadas e modelagem preditiva.

    Principais Responsabilidades

    • Liderar projetos de ciência de dados end-to-end, desde a concepção até a implementação e monitoramento;
    • Desenvolver modelos preditivos e algoritmos de machine learning para otimizar processos de negócio, detecção de fraudes e personalização de produtos;
    • Analisar grandes volumes de dados transacionais e comportamentais para extrair insights valiosos sobre os clientes e o mercado;
    • Criar dashboards e visualizações de dados para comunicar insights de forma eficaz para stakeholders não técnicos;
    • Colaborar com equipes de produto, marketing e risco para implementar soluções baseadas em dados;
    • Desenvolver e manter pipelines de dados robustos e escaláveis;
    • Implementar técnicas avançadas de análise estatística para identificar tendências e padrões no mercado de criptomoedas;
    • Liderar iniciativas de experimentação A/B para otimizar funcionalidades do produto e campanhas de marketing;
    • Mentorar cientistas de dados juniores e promover uma cultura de excelência analítica na empresa;
    • Manter-se atualizado sobre as últimas tendências e técnicas em ciência de dados, machine learning e IA;
    • Contribuir para a estratégia de dados da empresa, identificando oportunidades de uso inovador de dados e analytics.

    Qualificações

    • Mestrado ou Doutorado em Ciência da Computação, Estatística, Matemática ou campo relacionado;
    • Mínimo de 5 anos de experiência em ciência de dados, com pelo menos 2 anos em posição sênior, preferencialmente no setor financeiro ou de tecnologia;
    • Proficiência avançada em Python ou R, e familiaridade com ferramentas de big data como Spark, Hadoop;
    • Experiência sólida com técnicas de machine learning, deep learning e análise estatística;
    • Conhecimento prático de SQL e bancos de dados NoSQL;
    • Experiência com ferramentas de visualização de dados como Tableau, PowerBI ou similares;
    • Forte compreensão de metodologias ágeis e experiência em trabalhar em sprints de produto;
    • Excelentes habilidades de comunicação, capaz de traduzir análises complexas em insights acionáveis para stakeholders não técnicos;
    • Experiência em implementação de soluções de ML em ambientes de produção;
    • Conhecimento de práticas de DevOps e MLOps é um diferencial;
    • Familiaridade com cloud computing (AWS, GCP ou Azure);
    • Compreensão do mercado de Bitcoin e tecnologias financeiras é um forte diferencial;
    • Histórico comprovado de publicações ou apresentações em conferências de ciência de dados será valorizado;
    • Inglês fluente para acompanhamento de literatura técnica.

    Benefícios

    🏥 Plano de Saúde

    💉Plano Odontológico

    🍽️ Vale-refeição CAJU

    💻 Auxílio Home Office

    📈 Stock options desde o dia zero. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +4002533679,https://br.linkedin.com/jobs/view/cientista-de-dados-sr-2-at-verx-tecnologia-e-inova%C3%A7%C3%A3o-4002533679?position=36&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=HwAK3GwYZAoWcSUPkE9%2B5w%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de Dados Sr (2),Verx Tecnologia e Inovação,Greater São Paulo Area,"Requisitos: - Experiência de pesquisa em nível de mestrado em Física, Matemática, Engenharia, Estatística, Ciência da Computação ou áreas correlatas. - Outros candidatos com currículo excepcional (e.g. iniciação científica, portfolio de projetos, premiações em competições, etc) também serão considerados. - Fluência em Python (jupyter, numpy, pandas, scikit-learn, matplotlib, seaborn etc). - Conhecimento e experiência em métodos de Machine Learning e Data Science, tais como aprendizagem supervisionada (regressão e classificação), não supervisionada (clustering, redução dimensional), algoritmos específicos de aprendizagem como Boosting, Random Forest, KNN, Redes Neurais, etc) e conhecimento de métricas de performance de modelos (Precision, Recall, ROC, F1, Accuracy, Gini, KS, etc). - Inglês avançado (leitura, escrita e compreensão oral). + +Beneficios + +Formação Acadêmica: + +Não informado + +Experiência + +Salário: + +A combinar + +Cargo + +Analista de banco de dados + +Empresa + +Verx Consulting + +Consultoria em tecnologia. + +Ramo + +Informática/ Tecnologia + +(BF) +Show more ","
    + + + + + +
    +
    + Requisitos: - Experiência de pesquisa em nível de mestrado em Física, Matemática, Engenharia, Estatística, Ciência da Computação ou áreas correlatas. - Outros candidatos com currículo excepcional (e.g. iniciação científica, portfolio de projetos, premiações em competições, etc) também serão considerados. - Fluência em Python (jupyter, numpy, pandas, scikit-learn, matplotlib, seaborn etc). - Conhecimento e experiência em métodos de Machine Learning e Data Science, tais como aprendizagem supervisionada (regressão e classificação), não supervisionada (clustering, redução dimensional), algoritmos específicos de aprendizagem como Boosting, Random Forest, KNN, Redes Neurais, etc) e conhecimento de métricas de performance de modelos (Precision, Recall, ROC, F1, Accuracy, Gini, KS, etc). - Inglês avançado (leitura, escrita e compreensão oral).

    Beneficios

    Formação Acadêmica:

    Não informado

    Experiência

    Salário:

    A combinar

    Cargo

    Analista de banco de dados

    Empresa

    Verx Consulting

    Consultoria em tecnologia.

    Ramo

    Informática/ Tecnologia

    (BF) +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-17,[] +3996513260,https://br.linkedin.com/jobs/view/data-scientist-iii-po-at-banco-bradesco-3996513260?position=39&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=0cGzmUebC1vvybz9i%2FkrNA%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST III (PO),Banco Bradesco,"Osasco, São Paulo, Brazil","req58091 - DATA SCIENTIST III (PO) + +Sobre o Bradesco + +Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação. + +E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade. + +Responsabilidades e atribuições + +A área em que atuará é a VS Antifraude, uma equipe dedicada à prevenção de fraudes e à segurança dos nossos produtos e serviços. + +A missão da nossa equipe é garantir a segurança, integridade dos nossos sistemas e dados, proteger nossos clientes contra atividades fraudulentas. Trabalhamos para identificar, prevenir e mitigar fraudes, causando a menor fricção possível com o cliente, utilizando as melhores tecnologias e práticas do mercado. + +Você será responsável por liderar uma squad que está trabalhando na migração de um motor de prevenção a fraudes para um motor de mercado, melhorias pós-implantação e novas soluções de prevenção. Você será o ponto de contato entre a equipe de desenvolvimento e as partes interessadas, garantindo que o produto atenda às necessidades do negócio e dos usuários. + +O objetivo do seu trabalho é garantir que nossos sistemas e dados estejam seguros contra fraudes. Ao liderar a migração para um novo motor de prevenção a fraudes, você ajudará a melhorar a segurança e a eficiência dos nossos sistemas + +Modelo de trabalho : Híbrido (3 vezes remoto e 2 vezes presencial) + +Local: Osasco + +Como será seu dia a dia? + +Os desafios e projetos atuais da nossa área envolvem a migração e a modernização de nossos sistemas para a nuvem, um projeto complexo que exige a exploração de novos caminhos. Estamos trabalhando em diversas jornadas que exigem uma integração cuidadosa com nossos motores. Você será responsável por liderar uma squad e garantir que o produto ou serviço desenvolvido esteja alinhado com as necessidades do negócio e dos usuários. + +As principais atividades são: + + + +Definição da Visão do Produto +Gestão do Backlog do Produto; +Colaboração com a equipe; +Comunicação com as partes interessadas; +Validação do produto; + + + +Requisitos e Qualificações + +O que você precisa ter ou saber? + + + +Graduação em Ciência da Computação, Sistemas de Informação ou áreas correlatas; +Conhecimento em ferramentas como Jira, Confluence e Octane; +Desejável Pós-graduação/MBA em Gestão de Projetos/Produtos; +Desejável que o(a) candidato(a) já tenha conhecimento prévio de fraudes transacionais.; +A proficiência em inglês para leitura e escrita é importante, enquanto a habilidade de conversação é desejável; +Desejável CertifiedScrum Product Owner (CSPO) - SAFe Product Owner/Product Manager - Project Management Professional (PMP). + + + +O que nós oferecemos + +No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras. + + + +PLR ou Bônus: Conforme a elegibilidade de cargo* +Convênio Médico +Convênio Odontológico +Seguro de Vida +Vale Alimentação +Vale Refeição +Total Pass +13º Cesta Alimentação +Vale Transporte (adesão opcional) +Descontos em produtos e serviços em empresas parceiras +Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco) +Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida +Unibrad: Universidade Corporativa Bradesco +Isenção de Tarifas: condições especiais em diversos produtos e serviços +Auxílio Creche ou Babá +Licença Paternidade estendida de 20 dias +Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto +Auxílio para filho atípico* + + + +Saiba mais sobre o Bradesco + +Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ . + +Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +Show more ","
    + + + + + +
    +
    + req58091 - DATA SCIENTIST III (PO)

     Sobre o Bradesco

    Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação.

    E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade.

    Responsabilidades e atribuições

    A área em que atuará é a VS Antifraude, uma equipe dedicada à prevenção de fraudes e à segurança dos nossos produtos e serviços.

    A missão da nossa equipe é garantir a segurança, integridade dos nossos sistemas e dados, proteger nossos clientes contra atividades fraudulentas. Trabalhamos para identificar, prevenir e mitigar fraudes, causando a menor fricção possível com o cliente, utilizando as melhores tecnologias e práticas do mercado.

    Você será responsável por liderar uma squad que está trabalhando na migração de um motor de prevenção a fraudes para um motor de mercado, melhorias pós-implantação e novas soluções de prevenção. Você será o ponto de contato entre a equipe de desenvolvimento e as partes interessadas, garantindo que o produto atenda às necessidades do negócio e dos usuários.

    O objetivo do seu trabalho é garantir que nossos sistemas e dados estejam seguros contra fraudes. Ao liderar a migração para um novo motor de prevenção a fraudes, você ajudará a melhorar a segurança e a eficiência dos nossos sistemas

    Modelo de trabalho : Híbrido (3 vezes remoto e 2 vezes presencial)

    Local: Osasco

    Como será seu dia a dia?

    Os desafios e projetos atuais da nossa área envolvem a migração e a modernização de nossos sistemas para a nuvem, um projeto complexo que exige a exploração de novos caminhos. Estamos trabalhando em diversas jornadas que exigem uma integração cuidadosa com nossos motores. Você será responsável por liderar uma squad e garantir que o produto ou serviço desenvolvido esteja alinhado com as necessidades do negócio e dos usuários.

    As principais atividades são:


    • Definição da Visão do Produto
    • Gestão do Backlog do Produto;
    • Colaboração com a equipe;
    • Comunicação com as partes interessadas;
    • Validação do produto;


    Requisitos e Qualificações

    O que você precisa ter ou saber?


    • Graduação em Ciência da Computação, Sistemas de Informação ou áreas correlatas;
    • Conhecimento em ferramentas como Jira, Confluence e Octane;
    • Desejável Pós-graduação/MBA em Gestão de Projetos/Produtos;
    • Desejável que o(a) candidato(a) já tenha conhecimento prévio de fraudes transacionais.;
    • A proficiência em inglês para leitura e escrita é importante, enquanto a habilidade de conversação é desejável;
    • Desejável CertifiedScrum Product Owner (CSPO) - SAFe Product Owner/Product Manager - Project Management Professional (PMP).


    O que nós oferecemos

    No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras.


    • PLR ou Bônus: Conforme a elegibilidade de cargo*
    • Convênio Médico
    • Convênio Odontológico
    • Seguro de Vida
    • Vale Alimentação
    • Vale Refeição
    • Total Pass
    • 13º Cesta Alimentação
    • Vale Transporte (adesão opcional)
    • Descontos em produtos e serviços em empresas parceiras
    • Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
    • Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
    • Unibrad: Universidade Corporativa Bradesco
    • Isenção de Tarifas: condições especiais em diversos produtos e serviços
    • Auxílio Creche ou Babá
    • Licença Paternidade estendida de 20 dias
    • Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto
    • Auxílio para filho atípico*


    Saiba mais sobre o Bradesco

    Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ .

    Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +3998686347,https://br.linkedin.com/jobs/view/programador-python-treinee-at-dss-3998686347?position=40&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=A3WpVLqLAS9gW%2B4czI9O8A%3D%3D&trk=public_jobs_jserp-result_search-card,Programador Python Treinee,DSS,"Santo André, São Paulo, Brazil","Qualificar as técnicas de programação. + +Projetos totalmente direcionados para o ramo de Transportadora / Logística. + +Programar em Python. + +Qualidade nas documentações sobre o sistema. + +Conhecimento sobre o Postgre ou MySQL. + +Experiencia em Python, Django, CSS e JS/jQuery. + +Conhecimento em PHP. + +Framework OpenERP (Odoo) + +Linux +Show more ","
    + + + + + +
    +
    + Qualificar as técnicas de programação.

    Projetos totalmente direcionados para o ramo de Transportadora / Logística.

    Programar em Python.

    Qualidade nas documentações sobre o sistema.

    Conhecimento sobre o Postgre ou MySQL.

    Experiencia em Python, Django, CSS e JS/jQuery.

    Conhecimento em PHP.

    Framework OpenERP (Odoo)

    Linux +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-13,[] +3801449087,https://br.linkedin.com/jobs/view/cientista-de-dados-pleno-crm-at-c6-bank-3801449087?position=41&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=hqQLmzG9XPltnTmhhmk4Lg%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de Dados Pleno | CRM,C6 Bank,"São Paulo, São Paulo, Brazil","C6 BANK: O BANCO DA SUA VIDA + +Nós somos o banco que chegou com tudo em 2019! + +Atendemos pessoas físicas, MEIs e PMEs em todos os estados do Brasil. Sem agências físicas para te prender, oferecemos mais de 40 produtos e serviços financeiros feitos para todos os perfis de clientes. + +Nossa base fica em São Paulo, com mais de 3.500 CSixers que estão sempre a mil por hora. Em pouco mais de quatro anos, já conquistamos muitos prêmios e reconhecimentos. Para deixar ainda mais claro o quanto a gente manda bem, confira nossos destaques: + + +1º lugar na lista ""LinkedIn Top Startups"" em 2021 e 2023; +Reconhecimento do C6 Bank como uma das melhores empresas brasileiras para profissionais LGBTI+ em 2022 e 2023; +Destaque na pesquisa de Diversidade e Inclusão pelo Instituto Ethos em 2022 e 2023; +Eleito o melhor banco digital no Prêmio Canaltech por três anos consecutivos (2023); +Única Fintech brasileira mais promissora do mundo segundo a CB Insights (2023); +Sem contar que somos o único banco brasileiro no consórcio internacional ""Cybersecurity at MIT Sloan (CAMS)"" do Massachusetts Institute of Technology (MIT). + + + +Quer saber de todas as nossas premiações? Clique aqui. + +No C6 Bank, celebramos o diálogo, a abertura e, sobretudo, o respeito. Estamos construindo, no nosso dia a dia e nos nossos processos seletivos, uma cultura que valoriza e respeita a diversidade de pessoas. Aqui, cada indivíduo tem o poder da autorcracia, é incentivado a desafiar o quo e a criar coisas incríveis. + +Conheça os principais pilares da nossa cultura + +Ética: Sem isso, não tem conversa. Com esse pilar, tudo o que queremos construir será sólido, duradouro e verdadeiro. Fazemos o que é correto.  + +Exercemos a arte de discordar: Perguntamos “por que” antes de discordar e não nos apaixonamos pelos próprios argumentos. Assim podemos compreender para discordar e construir a melhor solução.  + +Escolhemos o frescobol: Aqui ninguém ganha sozinho. Quando uma pessoa erra, o outro arredonda a bola. É uma ralação ganha-ganha.  + +Autorcracia: Autorcracia significa ter liberdade com responsabilidade. Se a empresa fosse minha eu faria isso?   + +Bom humor: Bom humor é fundamental. O clima bom e descontraído favorece as relações, a criatividade e a inovação. Mas apelou, perdeu.  + +Desafiar o status quo: Dá para fazer diferente? Sempre dá. E pode ser simples. Temos paixão por transformar e evoluir. + +Nossa área de Ciência de Dados + +Aplicamos nossos conhecimentos de Programação, Estatística e Machine Learning para explorar dados e construir soluções que suportem as decisões dos nossos parceiros de negócio. Para isso, atuamos em todas as etapas do processo, desde a concepção da solução junto aos times de negócios até a implantação. Nosso ambiente de trabalho é extremamente leve e colaborativo, que estimula a autonomia e liberdade, sempre muito próximos dos times de negócios e com a entrega final em mente. Nossa Cultura é forte e foi construída para estimular a inovação e garantir relações verdadeiras com clientes e colaboradores. + +Suas atividades como CSixer + + +Trabalhar com parceiros de negócios, engenheiros de dados e times de tecnologia para desenvolvimento e deploy de soluções de machine learning como parte dos produtos; +Analisar dados para validar hipóteses e gerar insights de negócio; +Manipular dados para tratamento, limpeza e exploração; +Implementar, testar, fazer deploy, documentar e depurar processos de dados e de machine learning; +Contribuir com os repositórios de código e documentação da equipe e qualificar a discussão técnica com referências científicas e metodológicas. + + + +Requisitos e experiência + + +Experiência com técnicas de modelagem descritiva e preditiva; +Experiência na construção de ETL usando SQL; +Experiência com Python e/ou R para construção de modelos. + + + +Nossos benefícios + + +Vale-Refeição - Disponível no cartão Alelo; +Vale-Alimentação - Disponível no cartão Alelo; +Plano e saúde e odontológico - Sem copartipação e desconto para CSixers e dependentes; +Auxílio-Creche - reembolso para custos de creche e baba; +Seguro de Vida; +Gympass - Acesso a plataforma com diversos planos e modalidades esportivas; +Psicologia Viva - Terapia online sem custo com a opção de adesão para amigos e familiares; +Cartão de Crédito C6 Bank Carbon - Benefícios de ser um Carbon isento de mensalidade; +Carbon Spa - Salão de beleza completo localizado em nosso escritório; +Sala de amamentação - Espaço com toda privacidade e conforto dedicado para as CSixers; +Empresa Cidadã - Prorrogação do prazo da licença-maternidade e licença-paternidade; +Bicicletário - Local seguro para guardar a sua bicicleta no escritório; +Vestiário - Lockers rotativos, secador de cabelo e chuveiros; +Espaço de convivência - Videogame, mesa de sinuca, playball, churrasqueira, chopeira, lanchonete, auditório, diversos locais de descanso, redes, cesta de basquete e horta colaborativa e orgânica. + + + +Diversidade e Inclusão + +Acreditamos na importância de cultivar o respeito e acolhimento às diferenças, valores que estão intrinsicamente ligados à nossa ética. Nossa dedicação contínua visa criar um ambiente verdadeiramente plural e inclusivo, onde cada indivíduo se sinta não apenas reconhecido, mas também encorajado a ser autêntico. Além de impactar positivamente o engajamento de nossa equipe, percebemos benefícios tangíveis na promoção da inovação e na geração de vantagens competitivas para o nosso negócio. + +Desenvolvemos estratégias com foco nos pilares de gênero, racial, LGBTI+ e inclusão de pessoas com deficiência, fundamentando a diversidade como a espinha dorsal de nossa cultura organizacional. Recebemos reconhecimentos, como ser uma das melhores empresas para LGBTI+ trabalharem em 2022 e 2023, destacando nossa dedicação à diversidade e inclusão. Comprometemo-nos a manter e expandir esses esforços, construindo um ambiente de trabalho acolhedor e celebrando as diferenças como fontes de força e inovação. + +Em resumo, reafirmamos nosso compromisso inabalável com a promoção da diversidade e inclusão em todas as suas formas. Acreditamos que, ao nutrir um ambiente que respeita e acolhe as diferenças, não apenas fortalecemos nossos times, mas também impulsionamos a inovação do nosso negócio. Continuaremos a desenvolver estratégias inclusivas e a fomentar uma cultura que celebra a autenticidade de cada um. Ao construir um banco mais diverso em representatividade e pensamento, estamos moldando um futuro em que a pluralidade é não apenas reconhecida, mas também valorizada como um impulso para o sucesso e a inovação. +Show more ","
    + + + + + +
    +
    + C6 BANK: O BANCO DA SUA VIDA

    Nós somos o banco que chegou com tudo em 2019!

    Atendemos pessoas físicas, MEIs e PMEs em todos os estados do Brasil. Sem agências físicas para te prender, oferecemos mais de 40 produtos e serviços financeiros feitos para todos os perfis de clientes.

    Nossa base fica em São Paulo, com mais de 3.500 CSixers que estão sempre a mil por hora. Em pouco mais de quatro anos, já conquistamos muitos prêmios e reconhecimentos. Para deixar ainda mais claro o quanto a gente manda bem, confira nossos destaques:

    • 1º lugar na lista ""LinkedIn Top Startups"" em 2021 e 2023;
    • Reconhecimento do C6 Bank como uma das melhores empresas brasileiras para profissionais LGBTI+ em 2022 e 2023;
    • Destaque na pesquisa de Diversidade e Inclusão pelo Instituto Ethos em 2022 e 2023;
    • Eleito o melhor banco digital no Prêmio Canaltech por três anos consecutivos (2023);
    • Única Fintech brasileira mais promissora do mundo segundo a CB Insights (2023);
    • Sem contar que somos o único banco brasileiro no consórcio internacional ""Cybersecurity at MIT Sloan (CAMS)"" do Massachusetts Institute of Technology (MIT).


    Quer saber de todas as nossas premiações? Clique aqui.

    No C6 Bank, celebramos o diálogo, a abertura e, sobretudo, o respeito. Estamos construindo, no nosso dia a dia e nos nossos processos seletivos, uma cultura que valoriza e respeita a diversidade de pessoas. Aqui, cada indivíduo tem o poder da autorcracia, é incentivado a desafiar o quo e a criar coisas incríveis.

    Conheça os principais pilares da nossa cultura

    Ética: Sem isso, não tem conversa. Com esse pilar, tudo o que queremos construir será sólido, duradouro e verdadeiro. Fazemos o que é correto. 

    Exercemos a arte de discordar: Perguntamos “por que” antes de discordar e não nos apaixonamos pelos próprios argumentos. Assim podemos compreender para discordar e construir a melhor solução. 

    Escolhemos o frescobol: Aqui ninguém ganha sozinho. Quando uma pessoa erra, o outro arredonda a bola. É uma ralação ganha-ganha. 

    Autorcracia: Autorcracia significa ter liberdade com responsabilidade. Se a empresa fosse minha eu faria isso?  

    Bom humor: Bom humor é fundamental. O clima bom e descontraído favorece as relações, a criatividade e a inovação. Mas apelou, perdeu. 

    Desafiar o status quo: Dá para fazer diferente? Sempre dá. E pode ser simples. Temos paixão por transformar e evoluir.

    Nossa área de Ciência de Dados

    Aplicamos nossos conhecimentos de Programação, Estatística e Machine Learning para explorar dados e construir soluções que suportem as decisões dos nossos parceiros de negócio. Para isso, atuamos em todas as etapas do processo, desde a concepção da solução junto aos times de negócios até a implantação. Nosso ambiente de trabalho é extremamente leve e colaborativo, que estimula a autonomia e liberdade, sempre muito próximos dos times de negócios e com a entrega final em mente. Nossa Cultura é forte e foi construída para estimular a inovação e garantir relações verdadeiras com clientes e colaboradores.

    Suas atividades como CSixer

    • Trabalhar com parceiros de negócios, engenheiros de dados e times de tecnologia para desenvolvimento e deploy de soluções de machine learning como parte dos produtos;
    • Analisar dados para validar hipóteses e gerar insights de negócio;
    • Manipular dados para tratamento, limpeza e exploração;
    • Implementar, testar, fazer deploy, documentar e depurar processos de dados e de machine learning;
    • Contribuir com os repositórios de código e documentação da equipe e qualificar a discussão técnica com referências científicas e metodológicas.


    Requisitos e experiência

    • Experiência com técnicas de modelagem descritiva e preditiva;
    • Experiência na construção de ETL usando SQL;
    • Experiência com Python e/ou R para construção de modelos.


    Nossos benefícios

    • Vale-Refeição - Disponível no cartão Alelo;
    • Vale-Alimentação - Disponível no cartão Alelo;
    • Plano e saúde e odontológico - Sem copartipação e desconto para CSixers e dependentes;
    • Auxílio-Creche - reembolso para custos de creche e baba;
    • Seguro de Vida;
    • Gympass - Acesso a plataforma com diversos planos e modalidades esportivas;
    • Psicologia Viva - Terapia online sem custo com a opção de adesão para amigos e familiares;
    • Cartão de Crédito C6 Bank Carbon - Benefícios de ser um Carbon isento de mensalidade;
    • Carbon Spa - Salão de beleza completo localizado em nosso escritório;
    • Sala de amamentação - Espaço com toda privacidade e conforto dedicado para as CSixers;
    • Empresa Cidadã - Prorrogação do prazo da licença-maternidade e licença-paternidade;
    • Bicicletário - Local seguro para guardar a sua bicicleta no escritório;
    • Vestiário - Lockers rotativos, secador de cabelo e chuveiros;
    • Espaço de convivência - Videogame, mesa de sinuca, playball, churrasqueira, chopeira, lanchonete, auditório, diversos locais de descanso, redes, cesta de basquete e horta colaborativa e orgânica.


    Diversidade e Inclusão

    Acreditamos na importância de cultivar o respeito e acolhimento às diferenças, valores que estão intrinsicamente ligados à nossa ética. Nossa dedicação contínua visa criar um ambiente verdadeiramente plural e inclusivo, onde cada indivíduo se sinta não apenas reconhecido, mas também encorajado a ser autêntico. Além de impactar positivamente o engajamento de nossa equipe, percebemos benefícios tangíveis na promoção da inovação e na geração de vantagens competitivas para o nosso negócio.

    Desenvolvemos estratégias com foco nos pilares de gênero, racial, LGBTI+ e inclusão de pessoas com deficiência, fundamentando a diversidade como a espinha dorsal de nossa cultura organizacional. Recebemos reconhecimentos, como ser uma das melhores empresas para LGBTI+ trabalharem em 2022 e 2023, destacando nossa dedicação à diversidade e inclusão. Comprometemo-nos a manter e expandir esses esforços, construindo um ambiente de trabalho acolhedor e celebrando as diferenças como fontes de força e inovação.

    Em resumo, reafirmamos nosso compromisso inabalável com a promoção da diversidade e inclusão em todas as suas formas. Acreditamos que, ao nutrir um ambiente que respeita e acolhe as diferenças, não apenas fortalecemos nossos times, mas também impulsionamos a inovação do nosso negócio. Continuaremos a desenvolver estratégias inclusivas e a fomentar uma cultura que celebra a autenticidade de cada um. Ao construir um banco mais diverso em representatividade e pensamento, estamos moldando um futuro em que a pluralidade é não apenas reconhecida, mas também valorizada como um impulso para o sucesso e a inovação. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +4004385999,https://br.linkedin.com/jobs/view/data-scientist-specialist-at-natura-co-4004385999?position=42&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=S%2Bf9IJMpx0eZMK%2FyXNnecg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist Specialist,Natura &Co,Greater São Paulo Area,"Você já pensou em trabalhar em uma empresa que se preocupa com a sustentabilidade?  Você gosta de criar relações, desenvolver equipe e de gerar boas experiências? Você já se imaginou em um lugar que valoriza a diversidade? Se você respondeu sim para todas essas perguntas, estamos procurando VOCÊ! + +https://www.youtube.com/watch?v=BNFZzt4ZCls + +Natura é formada por duas marcas de beleza icônicas: Avon e Natura, cada uma com missão e espírito únicos, mas conectadas pelo propósito comum de construir, juntas, o caminho para um futuro melhor. Presentes em mais de 100 países e com mais de 200 milhões de consumidores, e entendendo que promover beleza PARA o mundo é, também, deixar um legado, as empresas ajudam a transformar a sociedade a partir da forma como desenvolvem seus negócios, promovendo a valorização da inclusão e da diversidade, a proteção do meio ambiente e a geração de oportunidades e renda às mulheres. + +Te convido avaliar nossa oportunidade! + +Função + +Prazo indeterminado + +O que você irá fazer: + +Estamos buscando profissionais de Especialista Cientista de dados, para trabalhar com advanced analytics aplicando técnicas de machine learning, com objetivo de aprimorar os processos de Gestão Comercial. + +Quais são as principais responsabilidades? + + +Capacidade para identificar e propor soluções para problemas, sendo capaz de entregar um projeto de ML desde a concepção até a produção, incluindo a compreensão da necessidade do negócio, transformando e explorando os dados, construindo e validando modelos de ML e implantando modelos completos para entregar impacto de negócios para organização; +Experiência em manipulação de dados - sql; +Experiência profissional em linguagens de programação: Python; +Experiência em modelagem preditiva em forecast e pricing; +Apoiar de forma consultiva time multidisciplinares em projetos de IA. + + + +Quais os Requisitos? + + +Estatística: estatística descritiva, distribuições probabilísticas, testes de hipótese, estatística aplicada a Machine Learning; +Programação: conhecimento sólido em linguagem de programação SQL e Python e domínio no uso de bibliotecas como Pandas, Scikit-Learn, Stats Models e PySpark; +Manipulação de dados: interação com bancos de dados e manipulação de dados usando a linguagem SQL; +Visualização de dados; +Versionamento: Familiaridade em versionamento de código (Git/Bitbucket); +Necessário experiência em forecast; +Habilidade com Data Storytelling; +Comunicação; +Pensamento crítico; +Lida em ambientes de mudança contínua ; +Curiosidade; +Conhecimento de negócio. + + + +Nossos Benefícios: + + +PLR; +Transporte fretado ida/volta. Estacionamento e restaurante no local; +Sua sexta-feira termina às 15:00 #sextou; +O dia do seu aniversário é na sua casa + Vale-presente Natura; +Produtos Natura, Avon com 40% off. (calma! são 10 produtos por mês para cada um e-commerce); +Berçário para os filhos de até 3 anos das mães e pais colaboradorxs nas localidades do NASP e Cajamar; +Licença maternidade 6 meses + Licença paternidade 40 dias; +Presente no dia das mães (para a sua e para você, se também for mãe); +Gympass; +Assistência médica; +Assistência Psicológica (Psicologia Viva - 4 Sessões Gratuitas por mês); +Assistência odontológica; +Seguro de vida; +Auxílio home office (modelos híbrido e remoto); +Vale Refeição para os dias de Home Office (modelos híbrido e remoto). + + + +A Natura &Co celebra e abraça a diversidade em todas as suas formas e pluralidades! Convidamos as #Mulheres, pessoas #Negras, profissionais com deficiência (#PCD), pessoas pertencentes às comunidades #LGBTQIA+ #Gestantes e profissionais de #QualquerIdade a se candidatarem a esta vaga! + +Caso queira saber mais informações sobre como utilizamos seus dados pessoais para fins de recrutamento, consulte o Aviso de Privacidade do Grupo Natura &Co para Candidatas/os, acesse :https://static.rede.natura.net/html/07-2023/global/natura-co/natura-co-global-aviso-para-candidatas-a-vagas.pdf + + +Show more ","
    + + + + + +
    +
    + Você já pensou em trabalhar em uma empresa que se preocupa com a sustentabilidade?  Você gosta de criar relações, desenvolver equipe e de gerar boas experiências? Você já se imaginou em um lugar que valoriza a diversidade? Se você respondeu sim para todas essas perguntas, estamos procurando VOCÊ!

    https://www.youtube.com/watch?v=BNFZzt4ZCls

    Natura é formada por duas marcas de beleza icônicas: Avon e Natura, cada uma com missão e espírito únicos, mas conectadas pelo propósito comum de construir, juntas, o caminho para um futuro melhor. Presentes em mais de 100 países e com mais de 200 milhões de consumidores, e entendendo que promover beleza PARA o mundo é, também, deixar um legado, as empresas ajudam a transformar a sociedade a partir da forma como desenvolvem seus negócios, promovendo a valorização da inclusão e da diversidade, a proteção do meio ambiente e a geração de oportunidades e renda às mulheres.

    Te convido avaliar nossa oportunidade!

    Função

    Prazo indeterminado

    O que você irá fazer:

    Estamos buscando profissionais de Especialista Cientista de dados, para trabalhar com advanced analytics aplicando técnicas de machine learning, com objetivo de aprimorar os processos de Gestão Comercial.

    Quais são as principais responsabilidades?

    • Capacidade para identificar e propor soluções para problemas, sendo capaz de entregar um projeto de ML desde a concepção até a produção, incluindo a compreensão da necessidade do negócio, transformando e explorando os dados, construindo e validando modelos de ML e implantando modelos completos para entregar impacto de negócios para organização;
    • Experiência em manipulação de dados - sql;
    • Experiência profissional em linguagens de programação: Python;
    • Experiência em modelagem preditiva em forecast e pricing;
    • Apoiar de forma consultiva time multidisciplinares em projetos de IA.


    Quais os Requisitos?

    • Estatística: estatística descritiva, distribuições probabilísticas, testes de hipótese, estatística aplicada a Machine Learning;
    • Programação: conhecimento sólido em linguagem de programação SQL e Python e domínio no uso de bibliotecas como Pandas, Scikit-Learn, Stats Models e PySpark;
    • Manipulação de dados: interação com bancos de dados e manipulação de dados usando a linguagem SQL;
    • Visualização de dados;
    • Versionamento: Familiaridade em versionamento de código (Git/Bitbucket);
    • Necessário experiência em forecast;
    • Habilidade com Data Storytelling;
    • Comunicação;
    • Pensamento crítico;
    • Lida em ambientes de mudança contínua ;
    • Curiosidade;
    • Conhecimento de negócio.


    Nossos Benefícios:

    • PLR;
    • Transporte fretado ida/volta. Estacionamento e restaurante no local;
    • Sua sexta-feira termina às 15:00 #sextou;
    • O dia do seu aniversário é na sua casa + Vale-presente Natura;
    • Produtos Natura, Avon com 40% off. (calma! são 10 produtos por mês para cada um e-commerce);
    • Berçário para os filhos de até 3 anos das mães e pais colaboradorxs nas localidades do NASP e Cajamar;
    • Licença maternidade 6 meses + Licença paternidade 40 dias;
    • Presente no dia das mães (para a sua e para você, se também for mãe);
    • Gympass;
    • Assistência médica;
    • Assistência Psicológica (Psicologia Viva - 4 Sessões Gratuitas por mês);
    • Assistência odontológica;
    • Seguro de vida;
    • Auxílio home office (modelos híbrido e remoto);
    • Vale Refeição para os dias de Home Office (modelos híbrido e remoto).


    A Natura &Co celebra e abraça a diversidade em todas as suas formas e pluralidades! Convidamos as #Mulheres, pessoas #Negras, profissionais com deficiência (#PCD), pessoas pertencentes às comunidades #LGBTQIA+ #Gestantes e profissionais de #QualquerIdade a se candidatarem a esta vaga!

    Caso queira saber mais informações sobre como utilizamos seus dados pessoais para fins de recrutamento, consulte o Aviso de Privacidade do Grupo Natura &Co para Candidatas/os, acesse :https://static.rede.natura.net/html/07-2023/global/natura-co/natura-co-global-aviso-para-candidatas-a-vagas.pdf

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +3987408976,https://br.linkedin.com/jobs/view/data-scientist-brazil-%E2%80%93-bcg-x-at-bcg-x-3987408976?position=45&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=y2OKqEZCSBlOTpLW%2BXj06g%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Brazil – BCG X",BCG X,"São Paulo, São Paulo, Brazil","We Are BCG X + +We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. + +What You'll Do + +We are seeking strong candidates with advanced analytics experience to start an exciting consultant + +career within BCG X. We are looking for profiles with a background in any area related to predictive + +analytics, machine learning, optimization/operations as well as risk. BCG X offers a unique opportunity to + +join a vibrant team of data scientists applying the most advanced analytics techniques in a rewarding + +environment. + +What You'll Bring + +Education & Experience + + +Bachelor’s, Master's or Advanced degree with excellent academic achievements in a field linked to + + +computer science, applied mathematics, statistics, machine learning, or related data centric areas + + +Relevant internships or post-college industry or consulting experience +Experience in core analytics methods (e.g. Machine Learning, Optimization, Deep Learning, etc.) +Fluency in at least one scripting language (e.g. Python, R) +Deep technical and data science expertise, strong passion for data science topics +Excellent analytical skills and strategic thinking, creative problem solver +Strong interpersonal credibility, reliability, and service mentality, high ethical standards +Excellent written and verbal communication skills in Portuguese and English + + +Technical competencies + + +Experience in core analytics methods (e.g. Machine Learning/Deep Learning, Optimization/Operational + + +Research, Geoanalytics, Predictive Modeling, Autonomous Agents, Network Analysis, etc…) + + +Familiarity with a broad base of analytics tools (Data management; Analytics platforms / Programming + + +– e.g. Python, R ; Data Visualization, etc…) + + +Experience in applied analytics for business problem solving/experience building analytical solutions + + +Additional info + +#BCGXjob + +Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. + +BCG is an E - Verify Employer. Click here for more information on E-Verify. +Show more ","
    + + + + + +
    +
    + We Are BCG X

    We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.

    What You'll Do

    We are seeking strong candidates with advanced analytics experience to start an exciting consultant

    career within BCG X. We are looking for profiles with a background in any area related to predictive

    analytics, machine learning, optimization/operations as well as risk. BCG X offers a unique opportunity to

    join a vibrant team of data scientists applying the most advanced analytics techniques in a rewarding

    environment.

    What You'll Bring

    Education & Experience

    • Bachelor’s, Master's or Advanced degree with excellent academic achievements in a field linked to

    computer science, applied mathematics, statistics, machine learning, or related data centric areas

    • Relevant internships or post-college industry or consulting experience
    • Experience in core analytics methods (e.g. Machine Learning, Optimization, Deep Learning, etc.)
    • Fluency in at least one scripting language (e.g. Python, R)
    • Deep technical and data science expertise, strong passion for data science topics
    • Excellent analytical skills and strategic thinking, creative problem solver
    • Strong interpersonal credibility, reliability, and service mentality, high ethical standards
    • Excellent written and verbal communication skills in Portuguese and English

    Technical competencies

    • Experience in core analytics methods (e.g. Machine Learning/Deep Learning, Optimization/Operational

    Research, Geoanalytics, Predictive Modeling, Autonomous Agents, Network Analysis, etc…)

    • Familiarity with a broad base of analytics tools (Data management; Analytics platforms / Programming

    – e.g. Python, R ; Data Visualization, etc…)

    • Experience in applied analytics for business problem solving/experience building analytical solutions

    Additional info

    #BCGXjob

    Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

    BCG is an E - Verify Employer. Click here for more information on E-Verify. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3982789819,https://br.linkedin.com/jobs/view/cientista-de-dados-ia-at-mollica-it-3982789819?position=46&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=HeeTvOZ03Gayq9H2CvN9fg%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de Dados - IA,Mollica IT,Greater São Paulo Area,"Estamos em busca de profissionais inovadores e criativos, que tenham paixão em crescer, evoluir e aprender. + +Irá trabalhar com projetos envolvendo IA e Dados para área Financeira + +Criação de modelos de machine learning, catálogos de dados, ETLs para plataforma cloud AWS; + +Arquitetura técnica e funcional com soluções de IA dentro do ambiente Microserviços + +Fará Modelagem estatísticas + +O Que Você Precisa Ter + +Experiência comprovada em Ciência de Dados; + +Obrigatório conhecimentos em aplicações envolvendo IA e IA generativa (Gen IA); + +Obrigatório experiência em Python; + +Obrigatório experiência em Cloud (Azure); + +Experiência em criação de modelos de machine learning, catálogos de dados, ETLs para plataforma cloud AWS; + +Experiência na definição de arquitetura técnica e funcional de soluções envolvendo IA em escala em ambiente de microserviços; + +Entender profundamente e quantitativamente os problemas de negócio; + +Conhecimentos em modelagem estatística; + +Graduação completa em cursos relacionados a Tecnologia. + +Diferencial + +Desejável experiência no segmento financeiro, Fintechs e afins; + +Conhecimentos em AWS, Knime, DBeaver, Scripts; + +Conhecimentos em Pyspark; + +Conhecimentos em microserviços. +Show more ","
    + + + + + +
    +
    + Estamos em busca de profissionais inovadores e criativos, que tenham paixão em crescer, evoluir e aprender.

    Irá trabalhar com projetos envolvendo IA e Dados para área Financeira

    Criação de modelos de machine learning, catálogos de dados, ETLs para plataforma cloud AWS;

    Arquitetura técnica e funcional com soluções de IA dentro do ambiente Microserviços

    Fará Modelagem estatísticas

    O Que Você Precisa Ter

    Experiência comprovada em Ciência de Dados;

    Obrigatório conhecimentos em aplicações envolvendo IA e IA generativa (Gen IA);

    Obrigatório experiência em Python;

    Obrigatório experiência em Cloud (Azure);

    Experiência em criação de modelos de machine learning, catálogos de dados, ETLs para plataforma cloud AWS;

    Experiência na definição de arquitetura técnica e funcional de soluções envolvendo IA em escala em ambiente de microserviços;

    Entender profundamente e quantitativamente os problemas de negócio;

    Conhecimentos em modelagem estatística;

    Graduação completa em cursos relacionados a Tecnologia.

    Diferencial

    Desejável experiência no segmento financeiro, Fintechs e afins;

    Conhecimentos em AWS, Knime, DBeaver, Scripts;

    Conhecimentos em Pyspark;

    Conhecimentos em microserviços. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-26,[] +3982049611,https://br.linkedin.com/jobs/view/data-scientist-risk-at-cloudwalk-inc-3982049611?position=47&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=dDBnIpT%2Bvju9%2FdpoNGmgxw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist (Risk),"CloudWalk, Inc.","São Paulo, São Paulo, Brazil","If you have fallen and risen, if you have broken and fixed, if you have dreamt and built, then you have grit. Then we speak the same language. Welcome to the Wolfpack. + +About CloudWalk: + +We are one of the fastest growing fintechs on the planet. We kick ass. A unicorn, with millions of happy customers, a hardcore team, and hundreds of millions in funding and revenue. But not your typical startup. + +We build and learn, fast, and we want the hackers, the artists, the crafters - join the Wolfpack! + +About The Team: + +The Risk Team is responsible for building the defense layer that keeps CloudWalk, its merchants, and users safe. We keep our ecosystem healthy by tracking down malicious activity and maintaining regulatory compliance while providing the best user experience. You will be part of a multidisciplinary team comprising risk analysts, data scientists, and software engineers, working collaboratively to enhance our risk management strategies. + +About The Job: + +As a Data Scientist on our Risk Team, your role is crucial in developing and optimizing machine learning models to detect and prevent fraud. You will be a key player in analyzing data, building predictive models, and implementing robust data-driven strategies to enhance our risk management processes. + +You will bridge the gap between theoretical data science and practical, scalable solutions in the fintech sector, with a specific focus on risk assessment and mitigation. Your work will involve handling large-scale datasets, extracting meaningful insights, and developing sophisticated algorithms to protect our ecosystem. + +What You'll Need to Succeed: + + +Fluency in Python and SQL. +Proficient in ML libraries like Scikit, PyTorch , TensorFlow, etc. +Experience with cloud-based services like the Google Cloud platform. +Solid Data Visualization skills to create charts and dashboards. +Strong analytical skills, ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. +Detail-oriented with a strong research mindset. +As a member of a fully remote and distributed team, you are expected to complete tasks autonomously, being highly collaborative and self-driven. We expect you to have the curiosity of a child with the responsibility of a grown-up. +Communication skills. You should be able to communicate effectively with multiple teams. +Ability to communicate and debate in English and Portuguese. + + +Nice-to-have skills: + + +Experience with financial or payment industry +Knowledge of distributed systems and parallel computing +DevOps practices: Understanding DevOps practices, including continuous integration, continuous deployment, and containerization. + + +Recruiting Process Outline: + + +Online technical assessment +Technical interview +Cultural interview. + + +If you are not willing to do an online-quiz, please do not apply. + +Diversity and Inclusion: + +We believe in social inclusion, respect and appreciation of all people. We promote a welcoming work environment, where each CloudWalker can be authentic, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability or education. +Show more ","
    + + + + + +
    +
    + If you have fallen and risen, if you have broken and fixed, if you have dreamt and built, then you have grit. Then we speak the same language. Welcome to the Wolfpack.

    About CloudWalk:

    We are one of the fastest growing fintechs on the planet. We kick ass. A unicorn, with millions of happy customers, a hardcore team, and hundreds of millions in funding and revenue. But not your typical startup.

    We build and learn, fast, and we want the hackers, the artists, the crafters - join the Wolfpack!

    About The Team:

    The Risk Team is responsible for building the defense layer that keeps CloudWalk, its merchants, and users safe. We keep our ecosystem healthy by tracking down malicious activity and maintaining regulatory compliance while providing the best user experience. You will be part of a multidisciplinary team comprising risk analysts, data scientists, and software engineers, working collaboratively to enhance our risk management strategies.

    About The Job:

    As a Data Scientist on our Risk Team, your role is crucial in developing and optimizing machine learning models to detect and prevent fraud. You will be a key player in analyzing data, building predictive models, and implementing robust data-driven strategies to enhance our risk management processes.

    You will bridge the gap between theoretical data science and practical, scalable solutions in the fintech sector, with a specific focus on risk assessment and mitigation. Your work will involve handling large-scale datasets, extracting meaningful insights, and developing sophisticated algorithms to protect our ecosystem.

    What You'll Need to Succeed:

    • Fluency in Python and SQL.
    • Proficient in ML libraries like Scikit, PyTorch , TensorFlow, etc.
    • Experience with cloud-based services like the Google Cloud platform.
    • Solid Data Visualization skills to create charts and dashboards.
    • Strong analytical skills, ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
    • Detail-oriented with a strong research mindset.
    • As a member of a fully remote and distributed team, you are expected to complete tasks autonomously, being highly collaborative and self-driven. We expect you to have the curiosity of a child with the responsibility of a grown-up.
    • Communication skills. You should be able to communicate effectively with multiple teams.
    • Ability to communicate and debate in English and Portuguese.

    Nice-to-have skills:

    • Experience with financial or payment industry
    • Knowledge of distributed systems and parallel computing
    • DevOps practices: Understanding DevOps practices, including continuous integration, continuous deployment, and containerization.

    Recruiting Process Outline:

    • Online technical assessment
    • Technical interview
    • Cultural interview.

    If you are not willing to do an online-quiz, please do not apply.

    Diversity and Inclusion:

    We believe in social inclusion, respect and appreciation of all people. We promote a welcoming work environment, where each CloudWalker can be authentic, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability or education. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3980795242,https://br.linkedin.com/jobs/view/python-developer-at-stefanini-brasil-3980795242?position=48&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=OkDEY6wP9K%2B7R9PGHoooGg%3D%3D&trk=public_jobs_jserp-result_search-card,Python Developer,Stefanini Brasil,"São Paulo, São Paulo, Brazil","+30.000 pessoas, 41 países, 44 línguas. + +Na Consultoria e em mais de 25 Ventures com expertise em soluções digitais, temos centros de inovação, um mindset empreendedor, um ecossistema de crescimento e vemos o cliente como o centro de tudo. + +Incentivamos a diversidade, a criatividade, trabalhamos com agilidade e flexibilidade. Nosso propósito é orquestrar relacionamentos entre negócios, tecnologia e pessoas. Vem cocriar com a gente, VEM SER #STEFANINER !!! + + + + +(100%Remoto) + + + + +RESPONSABILIDADES E ATRIBUIÇÕES + +O que esperamos que você realize: + +Desenvolvimento e manutenção de aplicações Python no ambiente AWS +Implementação de soluções escaláveis e robustas +Colaboração com times multifuncionais para integração de sistemas +Participação em decisões de arquitetura e melhores práticas de desenvolvimento +Monitoramento e otimização de performance das aplicações +Garantir a qualidade do código através de testes e revisões + + + + +REQUISITOS E QUALIFICAÇÕES + +O que precisamos que você tenha de conhecimento: + + + + +Experiência sólida com desenvolvimento em Python +Conhecimentos avançados em AWS (Amazon Web Services) +Habilidade para trabalhar com APIs e integração de sistemas +Familiaridade com metodologias ágeis (Scrum, Kanban) +Bom entendimento de conceitos de segurança da informação + + + + +INFORMAÇÕES ADICIONAIS + +O que te oferecemos: + + + + +🍛 Vale Alimentação ou Vale Refeição; + +👨🏼‍🎓 Desconto em cursos, universidades e instituições de idiomas; + +📚 Academia Stefanini - plataforma com cursos online, gratuitos, atualizados e com certificado; + +🗣 Mentoring; + +🏫 Auxílio Creche; + +💉 Clube de vantagens para consultas e exames; + +🏥 Assistência Médica; + +🦷Assistência Odontológica; + +💰 Clube de vantagens e descontos nos melhores estabelecimentos; + +👂🏾 Atendimento psicológico online ao colaborador e seus dependentes; + +🛫 Clube de viagens; + +🐶 Convênio para Pet; + +e muito mais... + +Show more ","
    + + + + + +
    +
    +

    +30.000 pessoas, 41 países, 44 línguas.

    Na Consultoria e em mais de 25 Ventures com expertise em soluções digitais, temos centros de inovação, um mindset empreendedor, um ecossistema de crescimento e vemos o cliente como o centro de tudo.

    Incentivamos a diversidade, a criatividade, trabalhamos com agilidade e flexibilidade. Nosso propósito é orquestrar relacionamentos entre negócios, tecnologia e pessoas. Vem cocriar com a gente, VEM SER #STEFANINER !!!


    (100%Remoto)


    RESPONSABILIDADES E ATRIBUIÇÕES

    O que esperamos que você realize:

    • Desenvolvimento e manutenção de aplicações Python no ambiente AWS
    • Implementação de soluções escaláveis e robustas
    • Colaboração com times multifuncionais para integração de sistemas
    • Participação em decisões de arquitetura e melhores práticas de desenvolvimento
    • Monitoramento e otimização de performance das aplicações
    • Garantir a qualidade do código através de testes e revisões


    REQUISITOS E QUALIFICAÇÕES

    O que precisamos que você tenha de conhecimento:


    • Experiência sólida com desenvolvimento em Python
    • Conhecimentos avançados em AWS (Amazon Web Services)
    • Habilidade para trabalhar com APIs e integração de sistemas
    • Familiaridade com metodologias ágeis (Scrum, Kanban)
    • Bom entendimento de conceitos de segurança da informação


    INFORMAÇÕES ADICIONAIS

    O que te oferecemos:


    🍛 Vale Alimentação ou Vale Refeição;

    👨🏼‍🎓 Desconto em cursos, universidades e instituições de idiomas;

    📚 Academia Stefanini - plataforma com cursos online, gratuitos, atualizados e com certificado;

    🗣 Mentoring;

    🏫 Auxílio Creche;

    💉 Clube de vantagens para consultas e exames;

    🏥 Assistência Médica;

    🦷Assistência Odontológica;

    💰 Clube de vantagens e descontos nos melhores estabelecimentos;

    👂🏾 Atendimento psicológico online ao colaborador e seus dependentes;

    🛫 Clube de viagens;

    🐶 Convênio para Pet;

    e muito mais...

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-23,[] +3984833292,https://br.linkedin.com/jobs/view/cientista-de-dados-s%C3%AAnior-desenvolvimento-de-modelos-at-equifax-i-boavista-3984833292?position=51&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=TAg4H8hor%2BXKtiQZIEvLbw%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de Dados Sênior (Desenvolvimento de Modelos),Equifax I BoaVista,"Barueri, São Paulo, Brazil","ATENÇÃO! + +Para essa vaga, o modelo de trabalho é híbrido, sendo presencial três vezes por semana em nosso escritório em Barueri/SP - por isso, o profissional precisa residir em São Paulo ou região de fácil deslocamento. + + + + +Sobre a vaga + + + + +O Cientista de Dados Sênior terá a oportunidade de fazer parte de um time inovador e com diversos talentos. Em uma empresa global e com forte expertise em Dados e Analytics terá a oportunidade de se desenvolver em aspectos relacionados à modelagem estatística, melhoria de processos e busca por inovações em um ambiente de constante aprendizado. + + + + +Desenvolvimento de modelos estatísticos customizados entre outros desafios de análise preditiva; +Busca constante por melhoria nos processos e inovações em relação à modelagem. + + + + +Experiências necessárias: + + + + +Ensino superior em cursos como Estatística, Matemática, Engenharias, Física e cursos correlatos +Conhecimento sólido em princípios de estatística e aprendizado de máquina +Experiência prévia em manipulação e análise de dados +Experiência prévia em modelagem preditiva +Conhecimento sólido em programação (exemplos de ferramenta: Python ou R) + + + + +Benefícios: + +Oferecemos benefícios abrangentes, como Participação nos Resultados, Benefícios Flexíveis (VR, VA, Plano de Saúde e Odontológico), Seguro de Vida, Gympass e Day-off no aniversário. Apoiamos famílias com Auxílio Creche, licença maternidade de 180 dias e licença paternidade de 20 dias. Nossa prioridade é promover o bem-estar, o equilíbrio, o crescimento pessoal e profissional. + + + + +#BVS + +Show more ","
    + + + + + +
    +
    +

    ATENÇÃO!

    Para essa vaga, o modelo de trabalho é híbrido, sendo presencial três vezes por semana em nosso escritório em Barueri/SP - por isso, o profissional precisa residir em São Paulo ou região de fácil deslocamento.


    Sobre a vaga


    O Cientista de Dados Sênior terá a oportunidade de fazer parte de um time inovador e com diversos talentos. Em uma empresa global e com forte expertise em Dados e Analytics terá a oportunidade de se desenvolver em aspectos relacionados à modelagem estatística, melhoria de processos e busca por inovações em um ambiente de constante aprendizado.


    • Desenvolvimento de modelos estatísticos customizados entre outros desafios de análise preditiva;
    • Busca constante por melhoria nos processos e inovações em relação à modelagem.


    Experiências necessárias:


    • Ensino superior em cursos como Estatística, Matemática, Engenharias, Física e cursos correlatos
    • Conhecimento sólido em princípios de estatística e aprendizado de máquina
    • Experiência prévia em manipulação e análise de dados
    • Experiência prévia em modelagem preditiva
    • Conhecimento sólido em programação (exemplos de ferramenta: Python ou R)


    Benefícios:

    Oferecemos benefícios abrangentes, como Participação nos Resultados, Benefícios Flexíveis (VR, VA, Plano de Saúde e Odontológico), Seguro de Vida, Gympass e Day-off no aniversário. Apoiamos famílias com Auxílio Creche, licença maternidade de 180 dias e licença paternidade de 20 dias. Nossa prioridade é promover o bem-estar, o equilíbrio, o crescimento pessoal e profissional.


    #BVS

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-30,[] +3980269725,https://br.linkedin.com/jobs/view/software-engineer-early-career-at-google-3980269725?position=52&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=twUtFjurOIV5lldFtKvoNw%3D%3D&trk=public_jobs_jserp-result_search-card,"Software Engineer, Early Career",Google,Greater São Paulo Area,"Please submit your resume in English - we can only consider applications submitted in this language. + +Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Belo Horizonte, State of Minas Gerais, Brazil; São Paulo, State of São Paulo, Brazil.Minimum qualifications: + + +Bachelor’s degree or equivalent practical experience. +1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). + + +Preferred qualifications: + + +Master's degree or PhD in Computer Science, or a related technical field. +Experience developing accessible technologies. +Ability to start in 2024. + + +About The Job + +Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. + +With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. + +Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another. + +Responsibilities + + +Write product or system development code. +Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. +Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). +Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. +Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. + + + +Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . +Show more ","
    + + + + + +
    +
    + Please submit your resume in English - we can only consider applications submitted in this language.

    Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Belo Horizonte, State of Minas Gerais, Brazil; São Paulo, State of São Paulo, Brazil.Minimum qualifications:

    • Bachelor’s degree or equivalent practical experience.
    • 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

    Preferred qualifications:

    • Master's degree or PhD in Computer Science, or a related technical field.
    • Experience developing accessible technologies.
    • Ability to start in 2024.

    About The Job

    Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

    With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

    Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

    Responsibilities

    • Write product or system development code.
    • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
    • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
    • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
    • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.


    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-10,[] +4002693495,https://br.linkedin.com/jobs/view/data-scientist-search-real-world-journeys-english-portuguese-at-google-4002693495?position=53&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=oQsE6zJQbcln1wPDFBIYng%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Search, Real World Journeys (English, Portuguese)",Google,Greater São Paulo Area,"Please submit your resume in English - we can only consider applications submitted in this language. + +Minimum qualifications: + + +Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience. +5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. +Ability to communicate in English and Portuguese fluently to support client relationship management in this region. + + +Preferred qualifications: + + +8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. + + +About The Job + +In this role, you will work cross-functionally with multiple tech leads from Engineering, Product and UX to advance our metric capabilities. You will apply advanced modeling techniques (e.g., LLM, Gemini models) for ML based metrics, Human Evaluation methods and design research based on user-survey data. Our responsibilities include metric development, product performance investigation, experiment design, and complex user journey analysis. + +Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another. + +Responsibilities + + +Partner with Product and Engineering teams of Real World Journeys to provide problem-solving thought leadership, support metrics research and advanced statistical analysis of complex user journeys on search. +Work cross-functionally to identify metric improvement areas, design new metrics and evaluation methods. +Support teams with advanced experimentation methods, detecting user learning effects and driving actionable user insights from A/B testing metrics analysis. +Work with large data sets and solve non-routine investigative issues, use problem-solving and statistical methods to the issues to measure quality, improve consumer products, and understand the behavior of end-users. +Make product recommendations with effective presentations of findings at multiple levels of stakeholders, and storytelling with data. + + + +Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . +Show more ","
    + + + + + +
    +
    + Please submit your resume in English - we can only consider applications submitted in this language.

    Minimum qualifications:

    • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
    • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
    • Ability to communicate in English and Portuguese fluently to support client relationship management in this region.

    Preferred qualifications:

    • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.

    About The Job

    In this role, you will work cross-functionally with multiple tech leads from Engineering, Product and UX to advance our metric capabilities. You will apply advanced modeling techniques (e.g., LLM, Gemini models) for ML based metrics, Human Evaluation methods and design research based on user-survey data. Our responsibilities include metric development, product performance investigation, experiment design, and complex user journey analysis.

    Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

    Responsibilities

    • Partner with Product and Engineering teams of Real World Journeys to provide problem-solving thought leadership, support metrics research and advanced statistical analysis of complex user journeys on search.
    • Work cross-functionally to identify metric improvement areas, design new metrics and evaluation methods.
    • Support teams with advanced experimentation methods, detecting user learning effects and driving actionable user insights from A/B testing metrics analysis.
    • Work with large data sets and solve non-routine investigative issues, use problem-solving and statistical methods to the issues to measure quality, improve consumer products, and understand the behavior of end-users.
    • Make product recommendations with effective presentations of findings at multiple levels of stakeholders, and storytelling with data.


    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3999823802,https://br.linkedin.com/jobs/view/cientista-de-dados-at-nava-technology-for-business-3999823802?position=56&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=KoXFNx0hR%2BpcE%2FkuaqHnTg%3D%3D&trk=public_jobs_jserp-result_search-card,CIENTISTA DE DADOS,NAVA - Technology for Business,"São Paulo, São Paulo, Brazil","A NAVA está em busca de uma Pessoa Cientista de Dados para fazer parte do nosso time de pessoas incríveis! + +Por que trabalhar na NAVA? + +Somos uma empresa de tecnologia que atende as maiores companhias dos setores financeiro, seguros, meios de pagamento, telecomunicações, energia e varejo do país. Inspiramos nossos times a criar soluções para que essas companhias transformem e impactem positivamente o mundo. + +Temos um time curioso, criativo, energético e inspirador, com grande foco nas pessoas para gerar inovação, transformação e crescimento. Dentro de um ambiente dinâmico e ágil, o nosso time está em expansão para acompanhar o crescimento exponencial da NAVA e dos nossos Clientes. + +Acolhemos as diferenças porque acreditamos que um ambiente diverso contribui para a inovação e uma sociedade mais justa e equânime e convidamos você à assumir esse compromisso junto com a gente. + +Responsabilidades e atribuições + +Como será o seu dia a dia? + +Atuação como Cientista de Dados em um dos nossos projetos do setor financeiro. + +Requisitos e qualificações + +O que esperamos de você? + + +Identificação, Coleta e Integração de Dados: Recolher dados de várias fontes e garantir que todas as informações necessárias para aplicar o modelo sejam obtidas; +Validação dos Dados: Validar se as informações utilizadas no desenvolvimento do modelo são as mesmas utilizadas na aplicação/ produtização dos modelos desenvolvidos e corrigir quando diferente; +Transformação e Tratamento de Dados: Converter dados para um formato adequado para a aplicação do modelo (woe, flag, categorização); +Análise de estabilidade das variáveis: cálculo de frequência, preenchimento, taxa de resposta e descritivas básicas para cada uma das variáveis explicativas, detectando padrões e tendências nos dados ao longo do tempo; +Análise de estabilidade e performance do modelo: cálculo de frequência e taxa de resposta ao longo do tempo para os diferentes ratings (classificação de escores) obtidos pelo modelo; +Relatórios Visuais: Gerar relatórios visuais que resumam as análises acima; +Atualização de Dados: Implementar processos para atualizar regularmente e automaticamente os dados e manter a integridade das análises acima; +Documentação de Processos: Documentar cada um dos processos acima e garantir que sejam replicados e estejam versionados; +Documentação do Modelo: Criar resumo dos critérios adotados na modelagem e avaliar/corrigir documentações já existentes conforme padrão adotado pela BMG; +Revisão de Modelos: Rever e ajustar procedimentos e metodologias com base em novas descobertas ou mudanças nos requisitos, mantendo o padrão e organização. Habilidades e Ferramentas Necessárias +Ferramentas de Análise: Python (pandas, NumPy, Scikit Learn), SQL, Excel, +Conhecimento Estatístico: Conhecimento em modelagem estatística, estatísticas descritivas, análise de dados e programação computacional. +Organização +Desejável conhecimento em Crédito e modelos de PDD + + + +Será considerado diferencial se você tiver: + +Atuação em projetos do setor financeiro. + +Informações adicionais + +Horário de trabalho: 09h às 18h + +Modelo de trabalho para este projeto/cliente: Hibrido + +Local de trabalho: São Paulo + +Além de ser uma empresa certificada Great Place to Work, você vai encontrar na NAVA: + +✅ Oportunidades de carreira 🚀 + +✅ Liberdade para escrever seu próprio código 🏆 + +✅ Diversidade e diferentes formas de ver o mundo 🌈 + +✅ Comunidades que incentivam o crescimento de todos 📚 + +✅ Treinamento In Company 💻 + +✅ Um time incrível 😎 + +✅ Empresa engajada no Pacto Global da ONU 💪🏼 + +✅ Projetos inovadores 💡 + +✅ Alta avaliação no Glassdoor 📣 +Show more ","
    + + + + + +
    +
    + A NAVA está em busca de uma Pessoa Cientista de Dados para fazer parte do nosso time de pessoas incríveis!

    Por que trabalhar na NAVA?

    Somos uma empresa de tecnologia que atende as maiores companhias dos setores financeiro, seguros, meios de pagamento, telecomunicações, energia e varejo do país. Inspiramos nossos times a criar soluções para que essas companhias transformem e impactem positivamente o mundo.

    Temos um time curioso, criativo, energético e inspirador, com grande foco nas pessoas para gerar inovação, transformação e crescimento. Dentro de um ambiente dinâmico e ágil, o nosso time está em expansão para acompanhar o crescimento exponencial da NAVA e dos nossos Clientes.

    Acolhemos as diferenças porque acreditamos que um ambiente diverso contribui para a inovação e uma sociedade mais justa e equânime e convidamos você à assumir esse compromisso junto com a gente.

    Responsabilidades e atribuições

    Como será o seu dia a dia?

    Atuação como Cientista de Dados em um dos nossos projetos do setor financeiro.

    Requisitos e qualificações

    O que esperamos de você?

    • Identificação, Coleta e Integração de Dados: Recolher dados de várias fontes e garantir que todas as informações necessárias para aplicar o modelo sejam obtidas;
    • Validação dos Dados: Validar se as informações utilizadas no desenvolvimento do modelo são as mesmas utilizadas na aplicação/ produtização dos modelos desenvolvidos e corrigir quando diferente;
    • Transformação e Tratamento de Dados: Converter dados para um formato adequado para a aplicação do modelo (woe, flag, categorização);
    • Análise de estabilidade das variáveis: cálculo de frequência, preenchimento, taxa de resposta e descritivas básicas para cada uma das variáveis explicativas, detectando padrões e tendências nos dados ao longo do tempo;
    • Análise de estabilidade e performance do modelo: cálculo de frequência e taxa de resposta ao longo do tempo para os diferentes ratings (classificação de escores) obtidos pelo modelo;
    • Relatórios Visuais: Gerar relatórios visuais que resumam as análises acima;
    • Atualização de Dados: Implementar processos para atualizar regularmente e automaticamente os dados e manter a integridade das análises acima;
    • Documentação de Processos: Documentar cada um dos processos acima e garantir que sejam replicados e estejam versionados;
    • Documentação do Modelo: Criar resumo dos critérios adotados na modelagem e avaliar/corrigir documentações já existentes conforme padrão adotado pela BMG;
    • Revisão de Modelos: Rever e ajustar procedimentos e metodologias com base em novas descobertas ou mudanças nos requisitos, mantendo o padrão e organização. Habilidades e Ferramentas Necessárias
    • Ferramentas de Análise: Python (pandas, NumPy, Scikit Learn), SQL, Excel,
    • Conhecimento Estatístico: Conhecimento em modelagem estatística, estatísticas descritivas, análise de dados e programação computacional.
    • Organização
    • Desejável conhecimento em Crédito e modelos de PDD


    Será considerado diferencial se você tiver:

    Atuação em projetos do setor financeiro.

    Informações adicionais

    Horário de trabalho: 09h às 18h

    Modelo de trabalho para este projeto/cliente: Hibrido

    Local de trabalho: São Paulo

    Além de ser uma empresa certificada Great Place to Work, você vai encontrar na NAVA:

    ✅ Oportunidades de carreira 🚀

    ✅ Liberdade para escrever seu próprio código 🏆

    ✅ Diversidade e diferentes formas de ver o mundo 🌈

    ✅ Comunidades que incentivam o crescimento de todos 📚

    ✅ Treinamento In Company 💻

    ✅ Um time incrível 😎

    ✅ Empresa engajada no Pacto Global da ONU 💪🏼

    ✅ Projetos inovadores 💡

    ✅ Alta avaliação no Glassdoor 📣 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +3991001496,https://br.linkedin.com/jobs/view/especialista-ii-em-ci%C3%AAncias-de-dados-at-brasilseg-3991001496?position=57&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=ofpr%2FMXe7Db7EfmW3Q0bow%3D%3D&trk=public_jobs_jserp-result_search-card,Especialista II em Ciências de Dados,Brasilseg,"São Paulo, São Paulo, Brazil","Sobre a vaga + +Especialista em Ciência de Dados / Data Science Specialist / Cientista de Dados / Data Scientist + +O que estará sobre seus cuidados: + + +A sua missão será realizar estudos e análises a fim de encontrar insights que potencializem o negócio e construir modelos preditivos que melhorem a experiência do cliente e/ou aumentem a eficiência das áreas. Fará parte de uma equipe multidisciplinar, com cientista, engenheiros e analistas obcecados por dados, que tem como objetivo auxiliar e impactar a tomada de decisão na empresa através dos dados. + + + +Responsabilidades e atribuições + +Além de cuidar, você precisa ter conhecimento em: + + +Ter perfil analítico e quantitativo, habilidade para resolver problemas, boa capacidade de explicação e orientado a entrega de resultados; +Experiência em construir análises e modelos de segmentação, fidelização, churn, cross sell, up sell, NBO (Next Best Offer) ou sistemas de recomendação; +Conhecimento em manipulação de dados para consumo e extração. + + + +Requisitos e qualificações + + +Formação: Superior Completo; + + + +O que é importante você conhecer? + + +Estatística e Análise de Dados; +Machine Learning; +Programação: SQL e Python; +Tableau, Power BI ou Quicksight. + + + +Diferencial: + + +Pós-graduação, Mestrado ou Doutorado; +Cloud AWS (Sagemaker e EMR); +MLOps; + + + +Informações adicionais + +Como cuidamos de você: + +Benefícios: + + +Seguro Saúde; +Seguro Odontológico; +Seguro Decesso; +Vale Transporte +Estacionamento Gratuito; +Vale Refeição; +Vale Alimentação; +13ª Cesta de Alimentação; +Seguro de Vida em Grupo; +Plano de Previdência Privada; +Auxílio Creche e/ou Babá; +Participação nos Lucros e Resultados (PLR); +Gympass; +Day off para comemorar seu aniversário; +Universidade Corporativa com mais 500 cursos; +Skillhub: descontos em diversas instituições de ensino; +Programa de Saúde Integrada: mental, social, financeira e física; + + + +Onde ficamos? + +Nossa sede fica localizada na zona sul de São Paulo, próximo a estação de trem Morumbi (linha 9 – Esmeralda), na Av. das Nações Unidas nº 14261. +Show more ","
    + + + + + +
    +
    + Sobre a vaga

    Especialista em Ciência de Dados / Data Science Specialist / Cientista de Dados / Data Scientist

    O que estará sobre seus cuidados:

    • A sua missão será realizar estudos e análises a fim de encontrar insights que potencializem o negócio e construir modelos preditivos que melhorem a experiência do cliente e/ou aumentem a eficiência das áreas. Fará parte de uma equipe multidisciplinar, com cientista, engenheiros e analistas obcecados por dados, que tem como objetivo auxiliar e impactar a tomada de decisão na empresa através dos dados.


    Responsabilidades e atribuições

    Além de cuidar, você precisa ter conhecimento em:

    • Ter perfil analítico e quantitativo, habilidade para resolver problemas, boa capacidade de explicação e orientado a entrega de resultados;
    • Experiência em construir análises e modelos de segmentação, fidelização, churn, cross sell, up sell, NBO (Next Best Offer) ou sistemas de recomendação;
    • Conhecimento em manipulação de dados para consumo e extração.


    Requisitos e qualificações

    • Formação: Superior Completo;


    O que é importante você conhecer?

    • Estatística e Análise de Dados;
    • Machine Learning;
    • Programação: SQL e Python;
    • Tableau, Power BI ou Quicksight.


    Diferencial:

    • Pós-graduação, Mestrado ou Doutorado;
    • Cloud AWS (Sagemaker e EMR);
    • MLOps;


    Informações adicionais

    Como cuidamos de você:

    Benefícios:

    • Seguro Saúde;
    • Seguro Odontológico;
    • Seguro Decesso;
    • Vale Transporte
    • Estacionamento Gratuito;
    • Vale Refeição;
    • Vale Alimentação;
    • 13ª Cesta de Alimentação;
    • Seguro de Vida em Grupo;
    • Plano de Previdência Privada;
    • Auxílio Creche e/ou Babá;
    • Participação nos Lucros e Resultados (PLR);
    • Gympass;
    • Day off para comemorar seu aniversário;
    • Universidade Corporativa com mais 500 cursos;
    • Skillhub: descontos em diversas instituições de ensino;
    • Programa de Saúde Integrada: mental, social, financeira e física;


    Onde ficamos?

    Nossa sede fica localizada na zona sul de São Paulo, próximo a estação de trem Morumbi (linha 9 – Esmeralda), na Av. das Nações Unidas nº 14261. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3995835837,https://br.linkedin.com/jobs/view/cientista-de-dados-at-servinformaci%C3%B3n-3995835837?position=58&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=bLuQHf8bVmyC5fbCTRKogQ%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de dados,Servinformación,"São Paulo, São Paulo, Brazil","Servinformacion é uma multilatina de origem colombiana com 25 anos de experiência no setor de alta tecnologia, é considerada líder na região, pelo desenvolvimento de soluções que ordenam e enriquecem as informações de seus clientes através de localização inteligente, análise de dados e tecnologias inovadoras na nuvem como Big Data, Machine Learning e Inteligência Artificial; Com presença em mais de 6 países da América Latina, a Servinformacion é uma referência no setor de tecnologia da informação. + + + + +Estamos em busca de um Cientista de dados + + + + +Usar modelos de dados e aprendizado de máquina para extrair, limpar e apresentar dados ao cliente final +O seu objetivo é aplicar os seus conhecimentos em programação, matemática e estatística a enormes bases de dados, a maioria delas não estruturadas, para recolher, extrair e processar a informação relevante que contêm. +Faça análises exploratórias de dados e desenvolva modelos preditivos em conjuntos de dados estruturados e não estruturados. +Identifique fontes de dados relevantes para um projeto. Extraia dados de bancos de dados, arquivos, APIs e outras fontes. +Lidar com problemas de qualidade de dados e limpar conjuntos de dados para remover erros e valores discrepantes +Usar dados e modelos de aprendizado de máquina, extraindo, limpando e apresentando dados + + + + +Educação: Sistemas Profissionais, matemáticos, cientistas da computação, eletrônica ou carreiras relacionadas. + + + + +Experiência de trabalho geral/específica necessária: Experiência mínima de trabalho de três anos + +em experiências de trabalho onde pude compreender os benefícios e desafios do uso da visualização de dados. Ter conhecimentos básicos de soluções de mercado. Conhecer e aplicar as melhores práticas e técnicas na criação de análises. Tenha a capacidade de compartilhar resultados por meio de dashboards ou aplicativos de autoatendimento. + +Show more ","
    + + + + + +
    +
    +

    Servinformacion é uma multilatina de origem colombiana com 25 anos de experiência no setor de alta tecnologia, é considerada líder na região, pelo desenvolvimento de soluções que ordenam e enriquecem as informações de seus clientes através de localização inteligente, análise de dados e tecnologias inovadoras na nuvem como Big Data, Machine Learning e Inteligência Artificial; Com presença em mais de 6 países da América Latina, a Servinformacion é uma referência no setor de tecnologia da informação.


    Estamos em busca de um Cientista de dados


    • Usar modelos de dados e aprendizado de máquina para extrair, limpar e apresentar dados ao cliente final
    • O seu objetivo é aplicar os seus conhecimentos em programação, matemática e estatística a enormes bases de dados, a maioria delas não estruturadas, para recolher, extrair e processar a informação relevante que contêm.
    • Faça análises exploratórias de dados e desenvolva modelos preditivos em conjuntos de dados estruturados e não estruturados.
    • Identifique fontes de dados relevantes para um projeto. Extraia dados de bancos de dados, arquivos, APIs e outras fontes.
    • Lidar com problemas de qualidade de dados e limpar conjuntos de dados para remover erros e valores discrepantes
    • Usar dados e modelos de aprendizado de máquina, extraindo, limpando e apresentando dados


    Educação: Sistemas Profissionais, matemáticos, cientistas da computação, eletrônica ou carreiras relacionadas.


    Experiência de trabalho geral/específica necessária: Experiência mínima de trabalho de três anos

    em experiências de trabalho onde pude compreender os benefícios e desafios do uso da visualização de dados. Ter conhecimentos básicos de soluções de mercado. Conhecer e aplicar as melhores práticas e técnicas na criação de análises. Tenha a capacidade de compartilhar resultados por meio de dashboards ou aplicativos de autoatendimento.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-10,[] +3995318368,https://br.linkedin.com/jobs/view/cientista-de-dados-at-nava-technology-for-business-3995318368?position=59&pageNum=0&refId=Ur7dJMTMj6D44FJm0Wq6Dg%3D%3D&trackingId=MdhbQkGpjou6rhhVBs0kAQ%3D%3D&trk=public_jobs_jserp-result_search-card,CIENTISTA DE DADOS,NAVA - Technology for Business,"São Paulo, São Paulo, Brazil","A NAVA está em busca de uma Pessoa Cientista de Dados para fazer parte do nosso time de pessoas incríveis! + +Por que trabalhar na NAVA? + +Somos uma empresa de tecnologia que atende as maiores companhias dos setores financeiro, seguros, meios de pagamento, telecomunicações, energia e varejo do país. Inspiramos nossos times a criar soluções para que essas companhias transformem e impactem positivamente o mundo. + +Temos um time curioso, criativo, energético e inspirador, com grande foco nas pessoas para gerar inovação, transformação e crescimento. Dentro de um ambiente dinâmico e ágil, o nosso time está em expansão para acompanhar o crescimento exponencial da NAVA e dos nossos Clientes. + +Acolhemos as diferenças porque acreditamos que um ambiente diverso contribui para a inovação e uma sociedade mais justa e equânime e convidamos você à assumir esse compromisso junto com a gente. + +Responsabilidades e atribuições + +Como será o seu dia a dia? + +Atuação como Cientista de Dados em um dos nossos projetos do setor financeiro. + +Requisitos e qualificações + +O que esperamos de você? + + +Identificação, Coleta e Integração de Dados: Recolher dados de várias fontes e garantir que todas as informações necessárias para aplicar o modelo sejam obtidas; +Validação dos Dados: Validar se as informações utilizadas no desenvolvimento do modelo são as mesmas utilizadas na aplicação/ produtização dos modelos desenvolvidos e corrigir quando diferente; +Transformação e Tratamento de Dados: Converter dados para um formato adequado para a aplicação do modelo (woe, flag, categorização); +Análise de estabilidade das variáveis: cálculo de frequência, preenchimento, taxa de resposta e descritivas básicas para cada uma das variáveis explicativas, detectando padrões e tendências nos dados ao longo do tempo; +Análise de estabilidade e performance do modelo: cálculo de frequência e taxa de resposta ao longo do tempo para os diferentes ratings (classificação de escores) obtidos pelo modelo; +Relatórios Visuais: Gerar relatórios visuais que resumam as análises acima; +Atualização de Dados: Implementar processos para atualizar regularmente e automaticamente os dados e manter a integridade das análises acima; +Documentação de Processos: Documentar cada um dos processos acima e garantir que sejam replicados e estejam versionados; +Documentação do Modelo: Criar resumo dos critérios adotados na modelagem e avaliar/corrigir documentações já existentes conforme padrão adotado pela BMG; +Revisão de Modelos: Rever e ajustar procedimentos e metodologias com base em novas descobertas ou mudanças nos requisitos, mantendo o padrão e organização. Habilidades e Ferramentas Necessárias +Ferramentas de Análise: Python (pandas, NumPy, Scikit Learn), SQL, Excel, +Conhecimento Estatístico: Conhecimento em modelagem estatística, estatísticas descritivas, análise de dados e programação computacional. +Organização +Desejável conhecimento em Crédito e modelos de PDD + + + +Será considerado diferencial se você tiver: + +Atuação em projetos do setor financeiro. + +Informações adicionais + +Horário de trabalho: 09h às 18h + +Modelo de trabalho para este projeto/cliente: Hibrido + +Local de trabalho: São Paulo + +Além de ser uma empresa certificada Great Place to Work, você vai encontrar na NAVA: + +✅ Oportunidades de carreira 🚀 + +✅ Liberdade para escrever seu próprio código 🏆 + +✅ Diversidade e diferentes formas de ver o mundo 🌈 + +✅ Comunidades que incentivam o crescimento de todos 📚 + +✅ Treinamento In Company 💻 + +✅ Um time incrível 😎 + +✅ Empresa engajada no Pacto Global da ONU 💪🏼 + +✅ Projetos inovadores 💡 + +✅ Alta avaliação no Glassdoor 📣 +Show more ","
    + + + + + +
    +
    + A NAVA está em busca de uma Pessoa Cientista de Dados para fazer parte do nosso time de pessoas incríveis!

    Por que trabalhar na NAVA?

    Somos uma empresa de tecnologia que atende as maiores companhias dos setores financeiro, seguros, meios de pagamento, telecomunicações, energia e varejo do país. Inspiramos nossos times a criar soluções para que essas companhias transformem e impactem positivamente o mundo.

    Temos um time curioso, criativo, energético e inspirador, com grande foco nas pessoas para gerar inovação, transformação e crescimento. Dentro de um ambiente dinâmico e ágil, o nosso time está em expansão para acompanhar o crescimento exponencial da NAVA e dos nossos Clientes.

    Acolhemos as diferenças porque acreditamos que um ambiente diverso contribui para a inovação e uma sociedade mais justa e equânime e convidamos você à assumir esse compromisso junto com a gente.

    Responsabilidades e atribuições

    Como será o seu dia a dia?

    Atuação como Cientista de Dados em um dos nossos projetos do setor financeiro.

    Requisitos e qualificações

    O que esperamos de você?

    • Identificação, Coleta e Integração de Dados: Recolher dados de várias fontes e garantir que todas as informações necessárias para aplicar o modelo sejam obtidas;
    • Validação dos Dados: Validar se as informações utilizadas no desenvolvimento do modelo são as mesmas utilizadas na aplicação/ produtização dos modelos desenvolvidos e corrigir quando diferente;
    • Transformação e Tratamento de Dados: Converter dados para um formato adequado para a aplicação do modelo (woe, flag, categorização);
    • Análise de estabilidade das variáveis: cálculo de frequência, preenchimento, taxa de resposta e descritivas básicas para cada uma das variáveis explicativas, detectando padrões e tendências nos dados ao longo do tempo;
    • Análise de estabilidade e performance do modelo: cálculo de frequência e taxa de resposta ao longo do tempo para os diferentes ratings (classificação de escores) obtidos pelo modelo;
    • Relatórios Visuais: Gerar relatórios visuais que resumam as análises acima;
    • Atualização de Dados: Implementar processos para atualizar regularmente e automaticamente os dados e manter a integridade das análises acima;
    • Documentação de Processos: Documentar cada um dos processos acima e garantir que sejam replicados e estejam versionados;
    • Documentação do Modelo: Criar resumo dos critérios adotados na modelagem e avaliar/corrigir documentações já existentes conforme padrão adotado pela BMG;
    • Revisão de Modelos: Rever e ajustar procedimentos e metodologias com base em novas descobertas ou mudanças nos requisitos, mantendo o padrão e organização. Habilidades e Ferramentas Necessárias
    • Ferramentas de Análise: Python (pandas, NumPy, Scikit Learn), SQL, Excel,
    • Conhecimento Estatístico: Conhecimento em modelagem estatística, estatísticas descritivas, análise de dados e programação computacional.
    • Organização
    • Desejável conhecimento em Crédito e modelos de PDD


    Será considerado diferencial se você tiver:

    Atuação em projetos do setor financeiro.

    Informações adicionais

    Horário de trabalho: 09h às 18h

    Modelo de trabalho para este projeto/cliente: Hibrido

    Local de trabalho: São Paulo

    Além de ser uma empresa certificada Great Place to Work, você vai encontrar na NAVA:

    ✅ Oportunidades de carreira 🚀

    ✅ Liberdade para escrever seu próprio código 🏆

    ✅ Diversidade e diferentes formas de ver o mundo 🌈

    ✅ Comunidades que incentivam o crescimento de todos 📚

    ✅ Treinamento In Company 💻

    ✅ Um time incrível 😎

    ✅ Empresa engajada no Pacto Global da ONU 💪🏼

    ✅ Projetos inovadores 💡

    ✅ Alta avaliação no Glassdoor 📣 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3987101044,https://br.linkedin.com/jobs/view/analista-de-dados-e-ia-jr-vaga-afirmativa-para-pcd-at-banco-pan-3987101044?position=1&pageNum=2&refId=nupLKS2bq2PROPgn0tlO7g%3D%3D&trackingId=U3jRyIjYsWY4Eo3cGekBOQ%3D%3D&trk=public_jobs_jserp-result_search-card,Analista de Dados e IA Jr. (Vaga afirmativa para PCD),Banco PAN,"São Paulo, São Paulo, Brazil","Somos o PAN + +Ágeis, flexíveis e criativos, exploramos possibilidades com disposição e desejo de fazer acontecer. Sempre prontos para encarar novos desafios, nutrimos líderes que, além de ter garra, são abertos e empáticos, veem na proximidade das relações, o elo entre cada um. + +Nossa missão, se faz cumprida quando transformamos a vida dos outros através dos nossos conhecimentos. Nossos pilares de cultura, reforçam nossa postura idealizadora e com desejo de fazer acontecer: T rabalho em equipe, O usadia empreendedora e P rotagonismo com profundidade. + +Dominamos nossos processos e trazemos melhorias para quem deseja ter uma vida financeira mais inteligente. + +Principais desafios: + + +Buscar e desenvolver oportunidades de uso de IA (LLM, machine learning) nas +diferentes etapas envolvidas no atendimento, para busca de eficiência e melhoria de +experiência dos clientes, trabalhando em parceria com outras áreas (ex. Analytics); +Analisar a efetividade dos projetos de IA implementados, a partir de diferentes +indicadores, e realizar ajustes nos prompts ou programas para melhoria de resultados; +Desenvolver e implementar estratégias e processos de coleta de dados, garantindo a +integridade e qualidade dos dados coletados (pelos diferentes canais de atendimento); +Utilizar ferramentas de análise de dados para identificar tendências, insights e +oportunidades de melhoria no atendimento e fluxo do cliente; +Colaborar com diferentes áreas do Banco para entender suas necessidades e +requisitos em termos de dados e análises relacionados ao atendimento dos clientes; +Criar e manter painéis interativos e relatórios no Tableau / QuickSight para monitorar o +desempenho do atendimento ao cliente, a partir de métricas pré-definidas. + + +Quais as principais competências para a posição? + + +Experiência comprovada em análise de dados, visualização de dados e implementação de projetos com IA (inteligência artificial); +Pensamento analítico e habilidades de resolução de problemas e orientação a resultados / entregas em ritmo acelerado; +Conhecimento sólido em SQL e experiência em lidar com grandes volumes de dados; +Capacidade de coordenação técnica de equipes multidisciplinares e stakeholders em diferentes níveis organizacionais; +Habilidades de comunicação verbal e escrita, com capacidade de explicar resultados complexos de análise de dados de forma clara e concisa; +(Desejável) conhecimento do setor bancário e familiaridade com métricas de experiência do cliente + + +Modelo de atuação: Híbrido (3dias presenciais no escritório e 2 dias de home office) + +Benefícios do PAN: + + +Bônus / PLR 🤑 +Vale Refeição 🍔 +Vale Alimentação 🍝 +13º de Vale Alimentação 🤌 +Convênio Médico (internação em apartamento para titular e dependentes) 🏥 +Convênio Odonto/Ortodôntico 😁 +Ambulatório Médico no escritório 🚑 +Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 🩺 +Seguro de Vida ❤ +Descontos em mais de 10 mil farmácias 💊 +4 Sessões de psicoterapia por mês 🤝 +Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 👨‍🍼🤱 +Auxílio Creche / Babá 🎒 +AcomPANha (programa de acompanhamento para gestantes) 🫃🤰 +Gympass/Totalpass 💪 +Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 🦻🦽 +Day Off Aniversário 🎉 +Day Off Tempo de Casa 🕛 +Programa de reconhecimento por tempo de casa 🏆 +Programas de desenvolvimento 📚 +Gamificação em certificações e desenvolvimento (BitPANs) 🎫 +Massagem e Auriculoterapia 💆‍♀️💆‍♂️ +Salão de beleza no escritório 💇‍♂️💅 +PAE (Orientação Jurídica, Financeira, Psicológica e Social) 🧑‍🎓 +Serviço Social 🤗 +Portal de descontos em diversos segmentos (Allya) 🤑 +Campanha de vacinação (colaborador e dependente) 💉 +Facilitação no financiamento de veículos 🚗 +Cartão de crédito PAN com limite diferenciado 💳 +Vale Transporte (desconto de apenas 4%) 🚆 +Assistência Funeral 🤍 + + +Assim como todas as nossas vagas, essa também é destinada à diversidade e inclusão. Independentemente de qualquer fator, perfil ou característica, Eleve sua carreira a PAN ! + +Para conhecer mais sobre nossos benefícios e cultura, acesse o Trabalhe Conosco: + +https://www.bancopan.com.br/trabalhe-conosco/ + +Acesse também nossa página na Glassdoor e veja nossas avaliações: + +https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-Banco-PAN-EI_IE1184444.13,22.ht +Show more ","
    + + + + + +
    +
    + Somos o PAN

    Ágeis, flexíveis e criativos, exploramos possibilidades com disposição e desejo de fazer acontecer. Sempre prontos para encarar novos desafios, nutrimos líderes que, além de ter garra, são abertos e empáticos, veem na proximidade das relações, o elo entre cada um.

    Nossa missão, se faz cumprida quando transformamos a vida dos outros através dos nossos conhecimentos. Nossos pilares de cultura, reforçam nossa postura idealizadora e com desejo de fazer acontecer: T rabalho em equipe, O usadia empreendedora e P rotagonismo com profundidade.

    Dominamos nossos processos e trazemos melhorias para quem deseja ter uma vida financeira mais inteligente.

    Principais desafios:

    • Buscar e desenvolver oportunidades de uso de IA (LLM, machine learning) nas
    • diferentes etapas envolvidas no atendimento, para busca de eficiência e melhoria de
    • experiência dos clientes, trabalhando em parceria com outras áreas (ex. Analytics);
    • Analisar a efetividade dos projetos de IA implementados, a partir de diferentes
    • indicadores, e realizar ajustes nos prompts ou programas para melhoria de resultados;
    • Desenvolver e implementar estratégias e processos de coleta de dados, garantindo a
    • integridade e qualidade dos dados coletados (pelos diferentes canais de atendimento);
    • Utilizar ferramentas de análise de dados para identificar tendências, insights e
    • oportunidades de melhoria no atendimento e fluxo do cliente;
    • Colaborar com diferentes áreas do Banco para entender suas necessidades e
    • requisitos em termos de dados e análises relacionados ao atendimento dos clientes;
    • Criar e manter painéis interativos e relatórios no Tableau / QuickSight para monitorar o
    • desempenho do atendimento ao cliente, a partir de métricas pré-definidas.

    Quais as principais competências para a posição?

    • Experiência comprovada em análise de dados, visualização de dados e implementação de projetos com IA (inteligência artificial);
    • Pensamento analítico e habilidades de resolução de problemas e orientação a resultados / entregas em ritmo acelerado;
    • Conhecimento sólido em SQL e experiência em lidar com grandes volumes de dados;
    • Capacidade de coordenação técnica de equipes multidisciplinares e stakeholders em diferentes níveis organizacionais;
    • Habilidades de comunicação verbal e escrita, com capacidade de explicar resultados complexos de análise de dados de forma clara e concisa;
    • (Desejável) conhecimento do setor bancário e familiaridade com métricas de experiência do cliente

    Modelo de atuação: Híbrido (3dias presenciais no escritório e 2 dias de home office)

    Benefícios do PAN:

    • Bônus / PLR 🤑
    • Vale Refeição 🍔
    • Vale Alimentação 🍝
    • 13º de Vale Alimentação 🤌
    • Convênio Médico (internação em apartamento para titular e dependentes) 🏥
    • Convênio Odonto/Ortodôntico 😁
    • Ambulatório Médico no escritório 🚑
    • Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 🩺
    • Seguro de Vida ❤
    • Descontos em mais de 10 mil farmácias 💊
    • 4 Sessões de psicoterapia por mês 🤝
    • Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 👨‍🍼🤱
    • Auxílio Creche / Babá 🎒
    • AcomPANha (programa de acompanhamento para gestantes) 🫃🤰
    • Gympass/Totalpass 💪
    • Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 🦻🦽
    • Day Off Aniversário 🎉
    • Day Off Tempo de Casa 🕛
    • Programa de reconhecimento por tempo de casa 🏆
    • Programas de desenvolvimento 📚
    • Gamificação em certificações e desenvolvimento (BitPANs) 🎫
    • Massagem e Auriculoterapia 💆‍♀️💆‍♂️
    • Salão de beleza no escritório 💇‍♂️💅
    • PAE (Orientação Jurídica, Financeira, Psicológica e Social) 🧑‍🎓
    • Serviço Social 🤗
    • Portal de descontos em diversos segmentos (Allya) 🤑
    • Campanha de vacinação (colaborador e dependente) 💉
    • Facilitação no financiamento de veículos 🚗
    • Cartão de crédito PAN com limite diferenciado 💳
    • Vale Transporte (desconto de apenas 4%) 🚆
    • Assistência Funeral 🤍

    Assim como todas as nossas vagas, essa também é destinada à diversidade e inclusão. Independentemente de qualquer fator, perfil ou característica, Eleve sua carreira a PAN !

    Para conhecer mais sobre nossos benefícios e cultura, acesse o Trabalhe Conosco:

    https://www.bancopan.com.br/trabalhe-conosco/

    Acesse também nossa página na Glassdoor e veja nossas avaliações:

    https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-Banco-PAN-EI_IE1184444.13,22.ht +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3993982500,https://br.linkedin.com/jobs/view/data-scientist-iii-at-banco-bradesco-3993982500?position=2&pageNum=2&refId=nupLKS2bq2PROPgn0tlO7g%3D%3D&trackingId=KNmCWBVQb1NnUm82lbLb%2Fg%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST III,Banco Bradesco,"Osasco, São Paulo, Brazil","req57637 - DATA SCIENTIST III + +Sobre o Bradesco + +Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação. + +E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade. + +Responsabilidades e atribuições + +O que é o nosso time de Compliance, Conduta e Ética. + +Somos a área de Analytics responsável por suportar as necessidades de análises e inovações analíticas do Departamento de Compliance da Organização, nossa missão é prover modelos, indicadores e monitoramentos ao Compliance, mediante análise de dados, machine learning e outras técnicas.da tomada de decisões e a possibilidade de reaproveitamento de informações internas e externas. Isso traz melhoria da eficiência, tanto pela redução dos custos associados à análise e à decisão manual, como pela maior precisão. + +Modelo de trabalho: Híbrido – 2x presencial + +Local: Osasco/SP + +Como será seu dia a dia? + +Sendo Data Scientist III, atuará no Compliance, Confuta e Ética e suas principais atividades serão: + + + +Propor soluções de inteligência através de análises descritivas e/ou diagnósticas que identificam correlações, tendências e insights ocultos, utilizando machine learning e outras técnicas; +Desenvolver indicadores, metodologias e modelos que possam ser utilizados para identificar ou prevenir exposição ao risco de compliance, com o objetivo de recomendar ações que agreguem na atuação do Departamento; +Buscar continuamente atualização das melhores práticas de mercado e inovações tecnológicas, com o objetivo de automatizar procedimentos e/ ou processos, visando contribuir para a melhoria da atuação de Compliance; +Extrair e Estruturar análises com alto volume de dados de fontes diversas; +Implementar controles e medidas para assegurar a confiabilidade das informações; +Comunicar-se rotineiramente com as áreas de Compliance com o objetivo de obter as informações necessárias para a elaboração de estudos ou modelos; +Acompanhar o desempenho de projetos e participar de reuniões de definição de escopo. + + + +Requisitos e Qualificações + +O que você precisa ter ou saber? + + + +Conhecimentos avançados do Pacote Office; +Conhecimentos avançados em pelo menos uma linguagem de programação (SQL, R, SAS, Python ou outras); +Conhecimentos avançados em estatística e Técnicas de Machine Learning, deep learning e NLP; +Conhecimentos avançados em Banco de Dados (Teradata, Hive, Azure); +Conhecimento em validação de dados e de modelos. + + + +Será um diferencial se você tiver: + + + +Conhecimento em Infraestrutura de Big Data (Hadoop, MapReduce e Spark); +Conhecimento em infraestrutura de cloud. + + + +O que nós oferecemos + +No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras. + + + +PLR ou Bônus: Conforme a elegibilidade de cargo* +Convênio Médico +Convênio Odontológico +Seguro de Vida +Vale Alimentação +Vale Refeição +Total Pass (pessoa colaboradora e mais 3 dependentes) +13º Cesta Alimentação +Vale Transporte (adesão opcional) +Descontos em produtos e serviços em empresas parceiras +Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco) +Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida +Unibrad: Universidade Corporativa Bradesco +Isenção de Tarifas: condições especiais em diversos produtos e serviços +Auxílio Creche ou Babá +Licença Paternidade estendida de 20 dias +Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto +Auxílio para filho atípico* + + + +Saiba mais sobre o Bradesco + +Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/. + +Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/. + + +Show more ","
    + + + + + +
    +
    + req57637 - DATA SCIENTIST III

    Sobre o Bradesco

    Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação.

    E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade.

    Responsabilidades e atribuições

    O que é o nosso time de Compliance, Conduta e Ética.

    Somos a área de Analytics responsável por suportar as necessidades de análises e inovações analíticas do Departamento de Compliance da Organização, nossa missão é prover modelos, indicadores e monitoramentos ao Compliance, mediante análise de dados, machine learning e outras técnicas.da tomada de decisões e a possibilidade de reaproveitamento de informações internas e externas. Isso traz melhoria da eficiência, tanto pela redução dos custos associados à análise e à decisão manual, como pela maior precisão.

    Modelo de trabalho: Híbrido – 2x presencial

    Local: Osasco/SP

    Como será seu dia a dia?

    Sendo Data Scientist III, atuará no Compliance, Confuta e Ética e suas principais atividades serão:


    • Propor soluções de inteligência através de análises descritivas e/ou diagnósticas que identificam correlações, tendências e insights ocultos, utilizando machine learning e outras técnicas;
    • Desenvolver indicadores, metodologias e modelos que possam ser utilizados para identificar ou prevenir exposição ao risco de compliance, com o objetivo de recomendar ações que agreguem na atuação do Departamento;
    • Buscar continuamente atualização das melhores práticas de mercado e inovações tecnológicas, com o objetivo de automatizar procedimentos e/ ou processos, visando contribuir para a melhoria da atuação de Compliance;
    • Extrair e Estruturar análises com alto volume de dados de fontes diversas;
    • Implementar controles e medidas para assegurar a confiabilidade das informações;
    • Comunicar-se rotineiramente com as áreas de Compliance com o objetivo de obter as informações necessárias para a elaboração de estudos ou modelos;
    • Acompanhar o desempenho de projetos e participar de reuniões de definição de escopo.


    Requisitos e Qualificações

    O que você precisa ter ou saber?


    • Conhecimentos avançados do Pacote Office;
    • Conhecimentos avançados em pelo menos uma linguagem de programação (SQL, R, SAS, Python ou outras);
    • Conhecimentos avançados em estatística e Técnicas de Machine Learning, deep learning e NLP;
    • Conhecimentos avançados em Banco de Dados (Teradata, Hive, Azure);
    • Conhecimento em validação de dados e de modelos.


    Será um diferencial se você tiver:


    • Conhecimento em Infraestrutura de Big Data (Hadoop, MapReduce e Spark);
    • Conhecimento em infraestrutura de cloud.


    O que nós oferecemos

    No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras.


    • PLR ou Bônus: Conforme a elegibilidade de cargo*
    • Convênio Médico
    • Convênio Odontológico
    • Seguro de Vida
    • Vale Alimentação
    • Vale Refeição
    • Total Pass (pessoa colaboradora e mais 3 dependentes)
    • 13º Cesta Alimentação
    • Vale Transporte (adesão opcional)
    • Descontos em produtos e serviços em empresas parceiras
    • Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
    • Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
    • Unibrad: Universidade Corporativa Bradesco
    • Isenção de Tarifas: condições especiais em diversos produtos e serviços
    • Auxílio Creche ou Babá
    • Licença Paternidade estendida de 20 dias
    • Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto
    • Auxílio para filho atípico*


    Saiba mais sobre o Bradesco

    Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/.

    Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +3926846358,https://br.linkedin.com/jobs/view/engenheiro-de-machine-learning-mlops-cr%C3%A9dito-at-banco-pan-3926846358?position=3&pageNum=2&refId=nupLKS2bq2PROPgn0tlO7g%3D%3D&trackingId=0OftCJV%2B1Muq7b2ZPALebg%3D%3D&trk=public_jobs_jserp-result_search-card,Engenheiro de Machine Learning (MLops) - Crédito,Banco PAN,"São Paulo, São Paulo, Brazil","Somos o PAN + +Ágeis, flexíveis e criativos, exploramos possibilidades com disposição e desejo de fazer acontecer. Sempre prontos para encarar novos desafios, nutrimos líderes que, além de ter garra, são abertos e empáticos, veem na proximidade das relações, o elo entre cada um. + +Nossa missão, se faz cumprida quando transformamos a vida dos outros através dos nossos conhecimentos. Nossos pilares de cultura, reforçam nossa postura idealizadora e com desejo de fazer acontecer: T rabalho em equipe, O usadia empreendedora e P rotagonismo com profundidade. + +Dominamos nossos processos e trazemos melhorias para quem deseja ter uma vida financeira mais inteligente. + +Principais desafios: + + +Criação e manutenção de toda a matéria prima dos modelos de crédito; +Implantação de modelos na plataforma de MLOps com foco no aumento de rentabilidade; +Automatização dos processos de modelagem e estratégia de crédito através de scripts e bibliotecas Python; +Exploração de pipelines de dados; +Construção de fluxos eficientes de criação dos books; +Análise e apresentação de ganhos de discriminação de risco de crédito de cada variável. + + +Quais as principais competências para a posição? + + +Ensino Superior em Ciência da Computação; Engenharias, Física ou similares; +Conhecimento avançado em programação em SQL e Python; +Vivencia com AWS; +Experiência com automação de processos e construção de pipelines de dados, especialmente em contexto de mercado financeiro; +Implantação de modelos. + + +Modelo de atuação: Híbrido (4 dias presencial no escritório e 1 dia de home office). + +Benefícios do PAN: + + +Bônus / PLR 🤑 +Vale Refeição 🍔 +Vale Alimentação 🍝 +13º de Vale Alimentação 🤌 +Convênio Médico (internação em apartamento para titular e dependentes) 🏥 +Convênio Odonto/Ortodôntico 😁 +Ambulatório Médico no escritório 🚑 +Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 🩺 +Seguro de Vida ❤ +Descontos em mais de 10 mil farmácias 💊 +4 Sessões de psicoterapia por mês 🤝 +Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 👨‍🍼🤱 +Auxílio Creche / Babá 🎒 +AcomPANha (programa de acompanhamento para gestantes) 🫃🤰 +Gympass/Totalpass 💪 +Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 🦻🦽 +Day Off Aniversário 🎉 +Day Off Tempo de Casa 🕛 +Programa de reconhecimento por tempo de casa 🏆 +Programas de desenvolvimento 📚 +Gamificação em certificações e desenvolvimento (BitPANs) 🎫 +Massagem e Auriculoterapia 💆‍♀️💆‍♂️ +Salão de beleza no escritório 💇‍♂️💅 +PAE (Orientação Jurídica, Financeira, Psicológica e Social) 🧑‍🎓 +Serviço Social 🤗 +Portal de descontos em diversos segmentos (Allya) 🤑 +Campanha de vacinação (colaborador e dependente) 💉 +Facilitação no financiamento de veículos 🚗 +Cartão de crédito PAN com limite diferenciado 💳 +Vale Transporte (desconto de apenas 4%) 🚆 +Assistência Funeral 🤍 + + +Assim como todas as nossas vagas, essa também é destinada à diversidade e inclusão. Independentemente de qualquer fator, perfil ou característica, Eleve sua carreira a PAN ! + +Para conhecer mais sobre nossos benefícios e cultura, acesse o Trabalhe Conosco: + +https://www.bancopan.com.br/trabalhe-conosco/ + +Acesse também nossa página na Glassdoor e veja nossas avaliações: + +https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-Banco-PAN-EI_IE1184444.13,22.ht +Show more ","
    + + + + + +
    +
    + Somos o PAN

    Ágeis, flexíveis e criativos, exploramos possibilidades com disposição e desejo de fazer acontecer. Sempre prontos para encarar novos desafios, nutrimos líderes que, além de ter garra, são abertos e empáticos, veem na proximidade das relações, o elo entre cada um.

    Nossa missão, se faz cumprida quando transformamos a vida dos outros através dos nossos conhecimentos. Nossos pilares de cultura, reforçam nossa postura idealizadora e com desejo de fazer acontecer: T rabalho em equipe, O usadia empreendedora e P rotagonismo com profundidade.

    Dominamos nossos processos e trazemos melhorias para quem deseja ter uma vida financeira mais inteligente.

    Principais desafios:

    • Criação e manutenção de toda a matéria prima dos modelos de crédito;
    • Implantação de modelos na plataforma de MLOps com foco no aumento de rentabilidade;
    • Automatização dos processos de modelagem e estratégia de crédito através de scripts e bibliotecas Python;
    • Exploração de pipelines de dados;
    • Construção de fluxos eficientes de criação dos books;
    • Análise e apresentação de ganhos de discriminação de risco de crédito de cada variável.

    Quais as principais competências para a posição?

    • Ensino Superior em Ciência da Computação; Engenharias, Física ou similares;
    • Conhecimento avançado em programação em SQL e Python;
    • Vivencia com AWS;
    • Experiência com automação de processos e construção de pipelines de dados, especialmente em contexto de mercado financeiro;
    • Implantação de modelos.

    Modelo de atuação: Híbrido (4 dias presencial no escritório e 1 dia de home office).

    Benefícios do PAN:

    • Bônus / PLR 🤑
    • Vale Refeição 🍔
    • Vale Alimentação 🍝
    • 13º de Vale Alimentação 🤌
    • Convênio Médico (internação em apartamento para titular e dependentes) 🏥
    • Convênio Odonto/Ortodôntico 😁
    • Ambulatório Médico no escritório 🚑
    • Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 🩺
    • Seguro de Vida ❤
    • Descontos em mais de 10 mil farmácias 💊
    • 4 Sessões de psicoterapia por mês 🤝
    • Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 👨‍🍼🤱
    • Auxílio Creche / Babá 🎒
    • AcomPANha (programa de acompanhamento para gestantes) 🫃🤰
    • Gympass/Totalpass 💪
    • Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 🦻🦽
    • Day Off Aniversário 🎉
    • Day Off Tempo de Casa 🕛
    • Programa de reconhecimento por tempo de casa 🏆
    • Programas de desenvolvimento 📚
    • Gamificação em certificações e desenvolvimento (BitPANs) 🎫
    • Massagem e Auriculoterapia 💆‍♀️💆‍♂️
    • Salão de beleza no escritório 💇‍♂️💅
    • PAE (Orientação Jurídica, Financeira, Psicológica e Social) 🧑‍🎓
    • Serviço Social 🤗
    • Portal de descontos em diversos segmentos (Allya) 🤑
    • Campanha de vacinação (colaborador e dependente) 💉
    • Facilitação no financiamento de veículos 🚗
    • Cartão de crédito PAN com limite diferenciado 💳
    • Vale Transporte (desconto de apenas 4%) 🚆
    • Assistência Funeral 🤍

    Assim como todas as nossas vagas, essa também é destinada à diversidade e inclusão. Independentemente de qualquer fator, perfil ou característica, Eleve sua carreira a PAN !

    Para conhecer mais sobre nossos benefícios e cultura, acesse o Trabalhe Conosco:

    https://www.bancopan.com.br/trabalhe-conosco/

    Acesse também nossa página na Glassdoor e veja nossas avaliações:

    https://www.glassdoor.com.br/Vis%C3%A3o-geral/Trabalhar-na-Banco-PAN-EI_IE1184444.13,22.ht +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-11,[] +3998508003,https://br.linkedin.com/jobs/view/cientista-de-dados-%E2%80%93-especialista-at-minerva-foods-3998508003?position=4&pageNum=2&refId=nupLKS2bq2PROPgn0tlO7g%3D%3D&trackingId=Cav85WJE%2FsZjsTxw4woflA%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de Dados – Especialista,Minerva Foods,"São Paulo, São Paulo, Brazil","A Minerva Foods é líder na exportação de carne bovina na América do Sul e atua no segmento de carnes processadas, comercializando seus produtos em mais de 100 países. Além do Brasil, a Minerva Foods está presente na Argentina, Colômbia, Paraguai, Uruguai e Austrália. Nesse contexto, o time de Business Analytics auxilia a empresa com soluções analíticas potencializando o resultado global. + +O especialista em Ciência de Dados será responsável por traduzir as necessidades e oportunidades de negócio em soluções matemáticas e estatísticas automatizando e gerando insights para a área de negócio. Faz parte da responsabilidade imergir em toda a cadeia de negócio a ponto de propor soluções para áreas parceiras a fim de melhorar o resultado da empresa. + +A atuação do especialista é transversal as áreas de negócio agindo em uma estrutura centralizada de Analytics. Também deve contribuir com as áreas pares de afim de potencializar as soluções geradas nas frentes de projetos, processos e pesquisa operacional. Contamos com a experiência do especialista para ser uma vitrine de boas práticas para outros DS. + + + + +Principais Atividades e Experiências + +Identificar oportunidades de soluções de modelagem e machine learning no negócio, propondo automações e direcionamentos matemático e estatístico ao negócio; +Garantir que as soluções de machine learning sigam as melhores práticas como prototipagem da solução, testes de hipótese, treinamento e validação da solução sobre o negócio propondo as técnicas corretas para o tipo necessidade do negócio; +Saber lidar com área de negócio explicando soluções complexas de forma simples; +Saber aplicar pipelines que garantam a velocidade nas soluções ajustando os dados fornecido pela área de engenharia de dados transformando-os em variáveis dos modelos; +Performar na etapa de análise das variáveis a ponto de traduzir o negócio em informação possibilidade de aplicar soluções mais simples como classificadores; +Questionar as soluções de DS do time a ponto de gerar insights e melhorias significantes nas soluções que já temos hoje; +Direcionar e explicar as soluções geradas para os DS menos experientes aumentando a curva de aprendizagem do time. + + + + +Pré-requisitos + +6 anos de experiência com soluções de machine learning ou modelagem estatística; +Experiência comprovada na utilização de python (principal ferramenta) e spark, assim como pandas, numpy, scikit, seaborn; +Ferramentas de versionamento: Ter conhecimento em bitbucket, Git; +Banco de dados: conhecimento avançado de bancos de dados relacional e não relacional; +Capacidade de liderar e gerenciar equipes multidisciplinares; +Desejável: Experiência com o desenvolvimento e implementação de APIs; +Desejável: Inglês - Nível Intermediário; +Desejável: Mestrado ou pós-graduação em ciência da computação ou relatadas. + + + + +Esta vaga está aberta para pessoas com deficiência (PcD). + +Show more ","
    + + + + + +
    +
    +

    A Minerva Foods é líder na exportação de carne bovina na América do Sul e atua no segmento de carnes processadas, comercializando seus produtos em mais de 100 países. Além do Brasil, a Minerva Foods está presente na Argentina, Colômbia, Paraguai, Uruguai e Austrália. Nesse contexto, o time de Business Analytics auxilia a empresa com soluções analíticas potencializando o resultado global.

    O especialista em Ciência de Dados será responsável por traduzir as necessidades e oportunidades de negócio em soluções matemáticas e estatísticas automatizando e gerando insights para a área de negócio. Faz parte da responsabilidade imergir em toda a cadeia de negócio a ponto de propor soluções para áreas parceiras a fim de melhorar o resultado da empresa.

    A atuação do especialista é transversal as áreas de negócio agindo em uma estrutura centralizada de Analytics. Também deve contribuir com as áreas pares de afim de potencializar as soluções geradas nas frentes de projetos, processos e pesquisa operacional. Contamos com a experiência do especialista para ser uma vitrine de boas práticas para outros DS.


    Principais Atividades e Experiências

    • Identificar oportunidades de soluções de modelagem e machine learning no negócio, propondo automações e direcionamentos matemático e estatístico ao negócio;
    • Garantir que as soluções de machine learning sigam as melhores práticas como prototipagem da solução, testes de hipótese, treinamento e validação da solução sobre o negócio propondo as técnicas corretas para o tipo necessidade do negócio;
    • Saber lidar com área de negócio explicando soluções complexas de forma simples;
    • Saber aplicar pipelines que garantam a velocidade nas soluções ajustando os dados fornecido pela área de engenharia de dados transformando-os em variáveis dos modelos;
    • Performar na etapa de análise das variáveis a ponto de traduzir o negócio em informação possibilidade de aplicar soluções mais simples como classificadores;
    • Questionar as soluções de DS do time a ponto de gerar insights e melhorias significantes nas soluções que já temos hoje;
    • Direcionar e explicar as soluções geradas para os DS menos experientes aumentando a curva de aprendizagem do time.


    Pré-requisitos

    • 6 anos de experiência com soluções de machine learning ou modelagem estatística;
    • Experiência comprovada na utilização de python (principal ferramenta) e spark, assim como pandas, numpy, scikit, seaborn;
    • Ferramentas de versionamento: Ter conhecimento em bitbucket, Git;
    • Banco de dados: conhecimento avançado de bancos de dados relacional e não relacional;
    • Capacidade de liderar e gerenciar equipes multidisciplinares;
    • Desejável: Experiência com o desenvolvimento e implementação de APIs;
    • Desejável: Inglês - Nível Intermediário;
    • Desejável: Mestrado ou pós-graduação em ciência da computação ou relatadas.


    Esta vaga está aberta para pessoas com deficiência (PcD).

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3985646806,https://br.linkedin.com/jobs/view/cientista-de-dados-sr-icva-at-cielo-3985646806?position=6&pageNum=2&refId=nupLKS2bq2PROPgn0tlO7g%3D%3D&trackingId=2i0cud0kBTJ1aw6b7rKDbg%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de Dados Sr - ICVA,Cielo,"Barueri, São Paulo, Brazil","Somos mais que uma máquina, somos pessoas que transformam e criam infinitas possibilidades. + +Trabalhamos para simplificar e impulsionar negócios para todas as pessoas, oferecendo soluções financeiras inteligentes. Aqui, investimos em tecnologia, promovemos desenvolvimento e fomentamos a inovação para criar novos caminhos possíveis e gerar impacto positivo no mundo. + +Na Cielo, a gente trabalha com autonomia para escrever nossa própria jornada, liberdade para ser quem a gente é, e a oportunidade de fazer acontecer. Somos um time que sonha no plural, oferecendo uma experiência completa e focando no bem-estar físico e mental de nossos mais de 6.000 colaboradores e suas famílias. + +Acreditamos na inclusão e acolhimento de todas as pessoas, com suas singularidades e diversidade de vivências. + +Bora realizar seus sonhos com a gente! + +Juntos com você, em infinitas possibilidades. + +#VemPraCima #VemPraCielo + +Tem Lugar Para Você Nesse Propósito + + +Atuação como Cientista de dados ponto focal do ICVA (Índice Cielo do Varejo Ampliado) indicador de grande relevância para o mercado de varejo brasileiro. + + +O que o #TimeCielo espera de você? + + +Desenvolver modelos matemáticos e estatísticos, podendo aplicar técnicas de Machine Learning e IA, para otimizar a utilização dos dados da Cielo. +Criar e automatizar ciclos analíticos ""end-to-end"": Obtenção e tratamento/limpeza dos dados; análise exploratória de dados; criação e validação do modelo. +Montar e apresentar materiais para executivos, com mensagens claras. +Ser curioso e propositivo (propor melhorias/boas praticas/melhorar performance dos modelos). + + +Requisitos + + +Conhecimento técnico SQL e Python; +Desejável conhecimento Pyspark; +Experiência em analytics e/ou Data Science, incluindo construção de modelos; +Rigor analítico; +Boa capacidade de comunicação; +Resiliência, vontade de aprender e responsabilidade para lidar com demandas do dia a dia. + + +Por que viver infinitas possibilidades ao nosso lado? + + +Assistência Médica e Odontológica +Remuneração Variável Anual (PPR) +Auxílio Refeição e Alimentação +Home-office (modelo híbrido) +Auxílio Trabalho Remoto +Seguro de Vida +Previdência Privada +Canal de apoio à especialistas (nutrição, psicologia, ginecologia etc.) +Campanha de Vacinação +Edupass (Plataforma de estudo e desconto em instituições parceiras) +Gympass (Auxílio Academia e Bem-estar) +Programa de Gestação Saudável +Licença Maternidade e Paternidade estendida +Auxílio Creche +Dress Code Flexível +Horário Flexível +Sexta-curta +Almoço estendido (1h30) + + +About The Company + +VEM PRO #TIMECIELO, ONDE SEU SONHO DE TRANSFORMAÇÃO ENCONTRA INFINITAS POSSIBILIDADES DE SE TORNAR REALIDADE! + +Somos mais que uma máquina, somos pessoas que sonham, transformam e criam infinitas possibilidades juntas. + +Aqui a gente é movido por sonhos e, mais importante, por transformação! Por isso, nos empenhamos todos os dias para cumprir a nosso propósito de simplificar e impulsionar negócios para todas as pessoas, oferecendo soluções financeiras inteligentes e acessíveis que estão no dia a dia de quem movimenta o Brasil. + +Para isso, Investimos fortemente em tecnologia, criamos um ambiente propenso ao desenvolvimento e fomentamos a inovação para aumentar cada vez mais a nossa capacidade de criar novos caminhos possíveis e gerar impacto positivo no mundo. + +Trabalhar na Cielo é aprender na prática e construir uma carreira diariamente. + +No nosso dia a dia, a gente trabalha com autonomia para escrever nossa própria jornada, liberdade para ser quem a gente é e a oportunidade de fazer acontecer. + +Nós sonhamos no plural, acolhendo e ajudando a realizar os sonhos das mais de 6.000 pessoas que fazem parte do #TimeCielo. E, para torná-los realidade, a gente oferece uma experiência completa e inesquecível para o nosso time, focando no bem-estar físico e mental não apenas dos nossos colaboradores e colaboradoras, mas também de suas famílias. + +Além disso, a gente acredita que a resposta para conseguir vislumbrar novos futuros está na inclusão e acolhimento de todas as pessoas, com suas singularidades e diversidade de vivências. Por isso, não importa qual seja o seu sonho – pra sua vida, sua carreira, pra deixar sua marca no mundo –, tem lugar pra ele aqui, junto com os nossos. Vem pra Cima, vem pra Cielo! +Show more ","
    + + + + + +
    +
    + Somos mais que uma máquina, somos pessoas que transformam e criam infinitas possibilidades.

    Trabalhamos para simplificar e impulsionar negócios para todas as pessoas, oferecendo soluções financeiras inteligentes. Aqui, investimos em tecnologia, promovemos desenvolvimento e fomentamos a inovação para criar novos caminhos possíveis e gerar impacto positivo no mundo.

    Na Cielo, a gente trabalha com autonomia para escrever nossa própria jornada, liberdade para ser quem a gente é, e a oportunidade de fazer acontecer. Somos um time que sonha no plural, oferecendo uma experiência completa e focando no bem-estar físico e mental de nossos mais de 6.000 colaboradores e suas famílias.

    Acreditamos na inclusão e acolhimento de todas as pessoas, com suas singularidades e diversidade de vivências.

    Bora realizar seus sonhos com a gente!

    Juntos com você, em infinitas possibilidades.

    #VemPraCima #VemPraCielo

    Tem Lugar Para Você Nesse Propósito

    • Atuação como Cientista de dados ponto focal do ICVA (Índice Cielo do Varejo Ampliado) indicador de grande relevância para o mercado de varejo brasileiro.

    O que o #TimeCielo espera de você?

    • Desenvolver modelos matemáticos e estatísticos, podendo aplicar técnicas de Machine Learning e IA, para otimizar a utilização dos dados da Cielo.
    • Criar e automatizar ciclos analíticos ""end-to-end"": Obtenção e tratamento/limpeza dos dados; análise exploratória de dados; criação e validação do modelo.
    • Montar e apresentar materiais para executivos, com mensagens claras.
    • Ser curioso e propositivo (propor melhorias/boas praticas/melhorar performance dos modelos).

    Requisitos

    • Conhecimento técnico SQL e Python;
    • Desejável conhecimento Pyspark;
    • Experiência em analytics e/ou Data Science, incluindo construção de modelos;
    • Rigor analítico;
    • Boa capacidade de comunicação;
    • Resiliência, vontade de aprender e responsabilidade para lidar com demandas do dia a dia.

    Por que viver infinitas possibilidades ao nosso lado?

    • Assistência Médica e Odontológica
    • Remuneração Variável Anual (PPR)
    • Auxílio Refeição e Alimentação
    • Home-office (modelo híbrido)
    • Auxílio Trabalho Remoto
    • Seguro de Vida
    • Previdência Privada
    • Canal de apoio à especialistas (nutrição, psicologia, ginecologia etc.)
    • Campanha de Vacinação
    • Edupass (Plataforma de estudo e desconto em instituições parceiras)
    • Gympass (Auxílio Academia e Bem-estar)
    • Programa de Gestação Saudável
    • Licença Maternidade e Paternidade estendida
    • Auxílio Creche
    • Dress Code Flexível
    • Horário Flexível
    • Sexta-curta
    • Almoço estendido (1h30)

    About The Company

    VEM PRO #TIMECIELO, ONDE SEU SONHO DE TRANSFORMAÇÃO ENCONTRA INFINITAS POSSIBILIDADES DE SE TORNAR REALIDADE!

    Somos mais que uma máquina, somos pessoas que sonham, transformam e criam infinitas possibilidades juntas.

    Aqui a gente é movido por sonhos e, mais importante, por transformação! Por isso, nos empenhamos todos os dias para cumprir a nosso propósito de simplificar e impulsionar negócios para todas as pessoas, oferecendo soluções financeiras inteligentes e acessíveis que estão no dia a dia de quem movimenta o Brasil.

    Para isso, Investimos fortemente em tecnologia, criamos um ambiente propenso ao desenvolvimento e fomentamos a inovação para aumentar cada vez mais a nossa capacidade de criar novos caminhos possíveis e gerar impacto positivo no mundo.

    Trabalhar na Cielo é aprender na prática e construir uma carreira diariamente.

    No nosso dia a dia, a gente trabalha com autonomia para escrever nossa própria jornada, liberdade para ser quem a gente é e a oportunidade de fazer acontecer.

    Nós sonhamos no plural, acolhendo e ajudando a realizar os sonhos das mais de 6.000 pessoas que fazem parte do #TimeCielo. E, para torná-los realidade, a gente oferece uma experiência completa e inesquecível para o nosso time, focando no bem-estar físico e mental não apenas dos nossos colaboradores e colaboradoras, mas também de suas famílias.

    Além disso, a gente acredita que a resposta para conseguir vislumbrar novos futuros está na inclusão e acolhimento de todas as pessoas, com suas singularidades e diversidade de vivências. Por isso, não importa qual seja o seu sonho – pra sua vida, sua carreira, pra deixar sua marca no mundo –, tem lugar pra ele aqui, junto com os nossos. Vem pra Cima, vem pra Cielo! +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +3994758677,https://br.linkedin.com/jobs/view/data-scientist-iii-at-banco-bradesco-3994758677?position=7&pageNum=2&refId=nupLKS2bq2PROPgn0tlO7g%3D%3D&trackingId=YPopU8WYDcAgqJCOxeAVMQ%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST III,Banco Bradesco,"Osasco, São Paulo, Brazil","req58095 - DATA SCIENTIST III + +Sobre o Bradesco + +Acreditamos que é possível desafiar o futuro com pessoas e tecnologia, e reconhecemos nas pessoas, especialmente, um dos mais importantes motivos de nosso sucesso. Assim, proporcionamos aos nossos colaboradores um ambiente seguro, diverso e inclusivo, que inspira confiança, promove e estimula o desenvolvimento pessoal e profissional. + +Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação. + +E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de br asileiros, contribuindo para o desenvolvimento da sociedade. + +Responsabilidades e atribuições + +O que é o nosso time de Controle Integrado de Riscos? + +O objetivo é avaliar e gerir os riscos da organização de forma estratégica e holística, salvaguardando os interesses dos stakeholders, a reputação e a marca da organização e potencializando o funcionamento das demais áreas de riscos na organização. + +Modelo de trabalho : Híbrido – 3x presenciais e 2x remoto + +Unidade: Osasco + +Como será seu dia a dia? + +O Data Scientist garantirá que as áreas de risco se comuniquem de forma clara e participará na gestão da mudança em relação à visão de riscos, conforme as responsabilidades abaixo: + + + +Construir e suportar modelos de machine learning/deep learning com foco em identificar perfis, padrões e comportamento de clientes para gerar indicadores financeiros do negócio +Aplicar conhecimentos estatísticos, de otimização, analíticos e/ou de machine learning em insights e hipóteses +Mapear necessidades das áreas de negócios e riscos, avaliar necessidade de dados, construir códigos analíticos e acompanhar a implementação de análises +Comunicar os resultados por meio de apresentações executivas e relatórios +Trabalhar em parceria com os times de negócio, engenheiros de dados e times de tecnologia para desenvolvimento e deploy de solução de machine learning +Ser referência técnica para o time em assuntos de dados e modelagem, qualificando a discussão com referências cientificas e metodológicas + + + +Requisitos e Qualificações + +O que você precisa ter ou saber? + + + +Engenharias, Matemática, Estatística, Economia e correlatas +Capacidade de manipular grandes bases de dados realizando todo o processo end to end de ETL +Conhecimento avançado em Python e SQL +Vivência na construção de modelos de machine learning não-supervisionados de dados +Conhecimento em SAS intermediário +Capacidade analítica para transformar dados em insights acionáveis (data driven) +Capacidade de construir storytelling e apresentações para comunicar os insights de forma clara e objetiva +Certificação: Azure Data Scientist Associate + + + +Será considerado um diferencial: + + + +Certificação: AWS Certified Machine Learning Engineer - Associate Certificação: Google Cloud Professional Machine Learning Engineer +Conhecimento em Photoshop, Canva, ou outras ferramentas de design + + + +O que nós oferecemos + +No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras. + + + +PLR ou Bônus: Conforme a elegibilidade de cargo* +Convênio Médico +Convênio Odontológico +Seguro de Vida +Vale Alimentação +Vale Refeição +13º Cesta Alimentação +Total Pass +Vale Transporte (adesão opcional) +Descontos em produtos e serviços em empresas parceiras +Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco) +Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida +Unibrad: Universidade Corporativa Bradesco +Isenção de Tarifas: condições especiais em diversos produtos e serviços +Auxílio Creche ou Babá +Licença Paternidade estendida de 20 dias +Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto + + + +Saiba mais sobre o Bradesco + +Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ . + +Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +Show more ","
    + + + + + +
    +
    + req58095 - DATA SCIENTIST III

     Sobre o Bradesco

    Acreditamos que é possível desafiar o futuro com pessoas e tecnologia, e reconhecemos nas pessoas, especialmente, um dos mais importantes motivos de nosso sucesso. Assim, proporcionamos aos nossos colaboradores um ambiente seguro, diverso e inclusivo, que inspira confiança, promove e estimula o desenvolvimento pessoal e profissional.

    Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação.

    E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de br asileiros, contribuindo para o desenvolvimento da sociedade.

    Responsabilidades e atribuições

    O que é o nosso time de Controle Integrado de Riscos?

    O objetivo é avaliar e gerir os riscos da organização de forma estratégica e holística, salvaguardando os interesses dos stakeholders, a reputação e a marca da organização e potencializando o funcionamento das demais áreas de riscos na organização.

    Modelo de trabalho : Híbrido – 3x presenciais e 2x remoto

    Unidade: Osasco

    Como será seu dia a dia?

    O Data Scientist garantirá que as áreas de risco se comuniquem de forma clara e participará na gestão da mudança em relação à visão de riscos, conforme as responsabilidades abaixo:


    • Construir e suportar modelos de machine learning/deep learning com foco em identificar perfis, padrões e comportamento de clientes para gerar indicadores financeiros do negócio
    • Aplicar conhecimentos estatísticos, de otimização, analíticos e/ou de machine learning em insights e hipóteses
    • Mapear necessidades das áreas de negócios e riscos, avaliar necessidade de dados, construir códigos analíticos e acompanhar a implementação de análises
    • Comunicar os resultados por meio de apresentações executivas e relatórios
    • Trabalhar em parceria com os times de negócio, engenheiros de dados e times de tecnologia para desenvolvimento e deploy de solução de machine learning
    • Ser referência técnica para o time em assuntos de dados e modelagem, qualificando a discussão com referências cientificas e metodológicas


    Requisitos e Qualificações

    O que você precisa ter ou saber?


    • Engenharias, Matemática, Estatística, Economia e correlatas
    • Capacidade de manipular grandes bases de dados realizando todo o processo end to end de ETL
    • Conhecimento avançado em Python e SQL
    • Vivência na construção de modelos de machine learning não-supervisionados de dados
    • Conhecimento em SAS intermediário
    • Capacidade analítica para transformar dados em insights acionáveis (data driven)
    • Capacidade de construir storytelling e apresentações para comunicar os insights de forma clara e objetiva
    • Certificação: Azure Data Scientist Associate


    Será considerado um diferencial:


    • Certificação: AWS Certified Machine Learning Engineer - Associate Certificação: Google Cloud Professional Machine Learning Engineer
    • Conhecimento em Photoshop, Canva, ou outras ferramentas de design


    O que nós oferecemos

    No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras.


    • PLR ou Bônus: Conforme a elegibilidade de cargo*
    • Convênio Médico
    • Convênio Odontológico
    • Seguro de Vida
    • Vale Alimentação
    • Vale Refeição
    • 13º Cesta Alimentação
    • Total Pass
    • Vale Transporte (adesão opcional)
    • Descontos em produtos e serviços em empresas parceiras
    • Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
    • Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
    • Unibrad: Universidade Corporativa Bradesco
    • Isenção de Tarifas: condições especiais em diversos produtos e serviços
    • Auxílio Creche ou Babá
    • Licença Paternidade estendida de 20 dias
    • Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto


    Saiba mais sobre o Bradesco

    Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ .

    Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3975046142,https://br.linkedin.com/jobs/view/analista-pl-cientista-de-dados-de-mat%C3%A9rias-primas-at-braskem-3975046142?position=8&pageNum=2&refId=nupLKS2bq2PROPgn0tlO7g%3D%3D&trackingId=%2B1ncQzJL%2Butc2dETJu8E%2FA%3D%3D&trk=public_jobs_jserp-result_search-card,Analista PL - Cientista de dados de Matérias Primas,Braskem,Greater São Paulo Area,"Job Description + +Nessa posição você será integrante da gerência de Controles e Gestão de dados de Matérias Primas e será responsável por dar suporte as gerências de MP Petroquímicas e MP Renováveis na Diretoria de Matérias Primas de O&P SAM e na diretoria de Trading & Shipping O&P EUROPA/ASIA. + +Será responsável pela análise e gestão de dados da diretoria de matérias primas, apoio a estratégia global do negócio, gestão de derivativos (Middle Office) e mitigação de riscos financeiros. + +Responsabilidades e Atribuições: + + + +Gestão de dados de Matérias primas Fosseis e Renováveis e Chartering. +Criação e atualização de reportes e KPIs (PowerBI) com foco na gestão do negócio de matérias primas (Trading, Inteligencia de mercado, PnL) +Apoio a estratégia de compras de Materias primas globais da Braskem. +Apuração de realizado e projeção periódica do budget da diretoria de MP da Braskem. +Gestão de derivativos (controle total sobre o processo de Hedging de Materias Primas/Nafta), Acompanhar lucros e perdas das negociações (pnL); +Atividades de Middle Office (Garantir que todas as transações estejam de acordo com a estratégia aprovada de Derivativos) +Participar de projetos especiais, incluindo, mas não se limitando a análise de desempenho, implementação e suporte para novas iniciativas de negociação, e fornecimento de especificações e testes para novas tecnologias; +Monitorar o front office para garantir que os limites de risco sejam respeitados e relatar sempre que um trader ou portfólio estiver fora dos limites ou acima do mandato de negociação; +Assegurar que todos os membros da equipe sigam estritamente os procedimentos internos e as políticas da empresa. Aderir ao Código de Conduta da Braskem; +Cultivar e aprimorar relações estratégicas com contrapartes para desenvolver oportunidades, expandir a presença no mercado e aumentar o potencial de negociação; +Tratar de transações intercompany e interagir com a equipe de importação de matérias-primas e a equipe de conformidade no Brasil. + + + +Pré Requisitos + + + +Formação completa em Engenharia / Administração ou áreas correlatas +Pacote office (domínio completo) +Conhecimento em derivativos e gestão de dados +Inglês Avançado + + + +About Us + +Na Braskem encorajamos nossos integrantes a fazerem a diferença todos os dias, evoluindo e aprendendo sempre, em um ambiente de trabalho dinâmico, inspirador e flexível. + +Somos inquietos, queremos ir além, por isso, estimulamos e buscamos pessoas que nos desafiem. + +Acreditamos que atitudes inovadoras transformam a sociedade e o planeta, por isso, a inovação está em tudo que fazemos, nos nossos produtos, processos e também na forma como trabalhamos. + +Aqui, as pessoas são incentivadas a construírem seu próprio caminho, com inúmeras oportunidades de desenvolvimento e possibilidades de carreira. + +Na Braskem você é livre para ser você! + +Somos inspirados todos os dias por meio de diferentes experiências. Valorizamos a autonomia, colaboração, liberdade e diversidade, e temos o compromisso de promover um ambiente de trabalho inclusivo sem distinção de pessoas com deficiência, gênero, orientação sexual, raça, idade, origem, constituição familiar e estética. Trabalhamos todas as nossas vagas com base nessa premissa. + +Faça parte do nosso time! #VocêNosMoveaDiante +Show more ","
    + + + + + +
    +
    + Job Description

    Nessa posição você será integrante da gerência de Controles e Gestão de dados de Matérias Primas e será responsável por dar suporte as gerências de MP Petroquímicas e MP Renováveis na Diretoria de Matérias Primas de O&P SAM e na diretoria de Trading & Shipping O&P EUROPA/ASIA.

    Será responsável pela análise e gestão de dados da diretoria de matérias primas, apoio a estratégia global do negócio, gestão de derivativos (Middle Office) e mitigação de riscos financeiros.

    Responsabilidades e Atribuições:


    • Gestão de dados de Matérias primas Fosseis e Renováveis e Chartering.
    • Criação e atualização de reportes e KPIs (PowerBI) com foco na gestão do negócio de matérias primas (Trading, Inteligencia de mercado, PnL)
    • Apoio a estratégia de compras de Materias primas globais da Braskem.
    • Apuração de realizado e projeção periódica do budget da diretoria de MP da Braskem.
    • Gestão de derivativos (controle total sobre o processo de Hedging de Materias Primas/Nafta), Acompanhar lucros e perdas das negociações (pnL);
    • Atividades de Middle Office (Garantir que todas as transações estejam de acordo com a estratégia aprovada de Derivativos)
    • Participar de projetos especiais, incluindo, mas não se limitando a análise de desempenho, implementação e suporte para novas iniciativas de negociação, e fornecimento de especificações e testes para novas tecnologias;
    • Monitorar o front office para garantir que os limites de risco sejam respeitados e relatar sempre que um trader ou portfólio estiver fora dos limites ou acima do mandato de negociação;
    • Assegurar que todos os membros da equipe sigam estritamente os procedimentos internos e as políticas da empresa. Aderir ao Código de Conduta da Braskem;
    • Cultivar e aprimorar relações estratégicas com contrapartes para desenvolver oportunidades, expandir a presença no mercado e aumentar o potencial de negociação;
    • Tratar de transações intercompany e interagir com a equipe de importação de matérias-primas e a equipe de conformidade no Brasil.


    Pré Requisitos


    • Formação completa em Engenharia / Administração ou áreas correlatas
    • Pacote office (domínio completo)
    • Conhecimento em derivativos e gestão de dados
    • Inglês Avançado


    About Us

     Na Braskem encorajamos nossos integrantes a fazerem a diferença todos os dias, evoluindo e aprendendo sempre, em um ambiente de trabalho dinâmico, inspirador e flexível.

    Somos inquietos, queremos ir além, por isso, estimulamos e buscamos pessoas que nos desafiem.

    Acreditamos que atitudes inovadoras transformam a sociedade e o planeta, por isso, a inovação está em tudo que fazemos, nos nossos produtos, processos e também na forma como trabalhamos.

    Aqui, as pessoas são incentivadas a construírem seu próprio caminho, com inúmeras oportunidades de desenvolvimento e possibilidades de carreira.

    Na Braskem você é livre para ser você!

    Somos inspirados todos os dias por meio de diferentes experiências. Valorizamos a autonomia, colaboração, liberdade e diversidade, e temos o compromisso de promover um ambiente de trabalho inclusivo sem distinção de pessoas com deficiência, gênero, orientação sexual, raça, idade, origem, constituição familiar e estética. Trabalhamos todas as nossas vagas com base nessa premissa.

    Faça parte do nosso time! #VocêNosMoveaDiante +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +3987653529,https://br.linkedin.com/jobs/view/data-scientist-s%C3%AAnior-cr%C3%A9dito-at-banco-bradesco-3987653529?position=9&pageNum=2&refId=nupLKS2bq2PROPgn0tlO7g%3D%3D&trackingId=vvhT4HljAVCxYjZr53x2xg%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST SÊNIOR - CRÉDITO,Banco Bradesco,"Osasco, São Paulo, Brazil","Sobre o Bradesco + +Acreditamos que é possível desafiar o futuro com pessoas e tecnologia, e reconhecemos nas pessoas, especialmente, um dos mais importantes motivos de nosso sucesso. Assim, proporcionamos aos nossos colaboradores um ambiente seguro, diverso e inclusivo, que inspira confiança, promove e estimula o desenvolvimento pessoal e profissional. + +Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação. + +E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade. + +Responsabilidades e atribuições + +O que é o nosso time de Crédito? + +O Departamento de Crédito possui como missão garantir uma gestão eficiente na concessão e manutenção de crédito, que assegure rentabilidade e o crescimento com solidez dos ativos da Organização. + +Modelo de trabalho : Híbrido. + +Unidade: Cidade de Deus – Osasco – SP. + +Como será seu dia a dia? + +Sendo Data Scientist SR, você atuará na área de Crédito e suas principais atividades serão: + + + +Participar ativamente de projetos de políticas de crédito com times multidisciplinares; +Ser responsável por mapear e revisar o ciclo de crédito como um todo; +Desenvolver planos de ação para melhorias contínuas em políticas de crédito; +Acompanhar as estratégias e criar reports; +Auxiliar o time com estudos sobre crédito e produtos das business units. + + + +Requisitos e Qualificações + +O que você precisa ter ou saber? + + + +Ensino superior em Economia, Administração, Engenharia, Ciência da Computação e correlatos; +Necessário conhecimento avançado em SAS; +Experiência no ciclo de crédito e em políticas; +Desejável conhecimento em acompanhamento de projetos e metodologia ágil. + + + +O que nós oferecemos + +No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras. + + + +PLR ou Bônus: Conforme a elegibilidade de cargo* +Convênio Médico +Convênio Odontológico +Seguro de Vida +Vale Alimentação +Vale Refeição +13º Cesta Alimentação +Total Pass +Vale Transporte (adesão opcional) +Descontos em produtos e serviços em empresas parceiras +Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco) +Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida +Unibrad: Universidade Corporativa Bradesco +Isenção de Tarifas: condições especiais em diversos produtos e serviços +Auxílio Creche ou Babá +Licença Paternidade estendida de 20 dias +Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto + + + +Saiba mais sobre o Bradesco + +Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ . + +Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +Show more ","
    + + + + + +
    +
    + Sobre o Bradesco

    Acreditamos que é possível desafiar o futuro com pessoas e tecnologia, e reconhecemos nas pessoas, especialmente, um dos mais importantes motivos de nosso sucesso. Assim, proporcionamos aos nossos colaboradores um ambiente seguro, diverso e inclusivo, que inspira confiança, promove e estimula o desenvolvimento pessoal e profissional.

    Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação.

    E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade.

    Responsabilidades e atribuições

    O que é o nosso time de Crédito?

    O Departamento de Crédito possui como missão garantir uma gestão eficiente na concessão e manutenção de crédito, que assegure rentabilidade e o crescimento com solidez dos ativos da Organização.

    Modelo de trabalho : Híbrido.

    Unidade: Cidade de Deus – Osasco – SP.

    Como será seu dia a dia?

    Sendo Data Scientist SR, você atuará na área de Crédito e suas principais atividades serão:


    • Participar ativamente de projetos de políticas de crédito com times multidisciplinares;
    • Ser responsável por mapear e revisar o ciclo de crédito como um todo;
    • Desenvolver planos de ação para melhorias contínuas em políticas de crédito;
    • Acompanhar as estratégias e criar reports;
    • Auxiliar o time com estudos sobre crédito e produtos das business units.


    Requisitos e Qualificações

    O que você precisa ter ou saber?


    • Ensino superior em Economia, Administração, Engenharia, Ciência da Computação e correlatos;
    • Necessário conhecimento avançado em SAS;
    • Experiência no ciclo de crédito e em políticas;
    • Desejável conhecimento em acompanhamento de projetos e metodologia ágil.


    O que nós oferecemos

    No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras.


    • PLR ou Bônus: Conforme a elegibilidade de cargo*
    • Convênio Médico
    • Convênio Odontológico
    • Seguro de Vida
    • Vale Alimentação
    • Vale Refeição
    • 13º Cesta Alimentação
    • Total Pass
    • Vale Transporte (adesão opcional)
    • Descontos em produtos e serviços em empresas parceiras
    • Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
    • Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
    • Unibrad: Universidade Corporativa Bradesco
    • Isenção de Tarifas: condições especiais em diversos produtos e serviços
    • Auxílio Creche ou Babá
    • Licença Paternidade estendida de 20 dias
    • Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto


    Saiba mais sobre o Bradesco

    Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ .

    Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-31,[] +3990422692,https://br.linkedin.com/jobs/view/data-scientist-iii-at-banco-bradesco-3990422692?position=10&pageNum=2&refId=nupLKS2bq2PROPgn0tlO7g%3D%3D&trackingId=TzwN7tzEpRTKitGPUDmgGw%3D%3D&trk=public_jobs_jserp-result_search-card,DATA SCIENTIST III,Banco Bradesco,"Osasco, São Paulo, Brazil","Sobre o Bradesco + +Acreditamos que é possível desafiar o futuro com pessoas e tecnologia, e reconhecemos nas pessoas, especialmente, um dos mais importantes motivos de nosso sucesso. Assim, proporcionamos aos nossos colaboradores um ambiente seguro, diverso e inclusivo, que inspira confiança, promove e estimula o desenvolvimento pessoal e profissional. + +Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação. + +E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade. + +Responsabilidades e atribuições + +O que é o nosso time de Avaliação Independente de Modelos (AVIM)? + +O Departamento AVIM – Avaliação de Modelos Independentes, se tratando de simplificações da realidade, os modelos são sujeitos a riscos, que podem desencadear perdas relacionadas a decisões baseadas em estimativas incorretas ou obsoletas ou, ainda, uso inapropriado. Para identificar e mitigar esses riscos, a Área de Avaliação Independente de Modelos (AVIM) atua efetivamente no fortalecimento do uso de modelos, realizando ações de aculturamento e disseminando as boas práticas em modelagem + +Modelo de trabalho : Híbrido + +Unidade: 2 dias presenciais e 3 dias remotos + +Como será seu dia a dia? + +Sendo Data Scientist III, atuará na gerência de validação de modelos e suas principais atividades serão: + + + +Avaliar o desempenho dos modelos utilizados pela Organização para medir o grau de exposição ao risco e propor adequações e/ou ajustes que agreguem valor ao negócio, com vistas ao cumprimento de demandas regulatórias e/ou da Diretoria; +Revisar e validar os novos modelos de mensuração de risco e capital, emitindo pareceres sobre a adequação dos critérios de desenvolvimento e capacidade preditiva dos modelos e sua assertividade; +Testes de aderência das estimativas dos modelos de riscos aos resultados obtidos, com vistas a amparar o processo de validação do sistema de mensuração, teste de estresse e backtesting; +Elaborar relatórios de validação de modelos e apresentar os resultados em diversos fóruns; +Executar a validação do ambiente tecnológico no qual os modelos de riscos e capital utilizados pela Organização estão inseridos, com o propósito de aferir que as informações estejam integras e consistentes, procurando evidenciar o alinhamento com as melhores práticas de Governança e controles de TI; + + + +Requisitos e Qualificações + +O que você precisa ter ou saber? + + + +Graduação completa em Matemática, Física, Ciência Atuaria, Economia ou Engenharia. +Conhecimento em estatística descritiva e técnicas de amostragem; +Conhecimento em técnicas de modelagem (regressão logística, árvore de decisão, ajuste de séries temporais, técnicas de machine learning); +Conhecimento avançado em Matemática Financeira e produtos bancários; +Conhecimento em fraude; +Conhecimento em SAS, PowerBI e Pacote Office; + + + +Será um diferencial se você tiver: + + + +Mestrado ou MBA e Gestão de Riscos ou Ciência de Dados +Conhecimento em linguagem R e Python; + + + +O que nós oferecemos + +No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras. + + + +PLR ou Bônus: Conforme a elegibilidade de cargo* +Convênio Médico +Convênio Odontológico +Seguro de Vida +Vale Alimentação +Vale Refeição +13º Cesta Alimentação +Total Pass +Vale Transporte (adesão opcional) +Descontos em produtos e serviços em empresas parceiras +Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco) +Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida +Unibrad: Universidade Corporativa Bradesco +Isenção de Tarifas: condições especiais em diversos produtos e serviços +Auxílio Creche ou Babá +Licença Paternidade estendida de 20 dias +Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto + + + +Saiba mais sobre o Bradesco + +Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ . + +Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +Show more ","
    + + + + + +
    +
    + Sobre o Bradesco

    Acreditamos que é possível desafiar o futuro com pessoas e tecnologia, e reconhecemos nas pessoas, especialmente, um dos mais importantes motivos de nosso sucesso. Assim, proporcionamos aos nossos colaboradores um ambiente seguro, diverso e inclusivo, que inspira confiança, promove e estimula o desenvolvimento pessoal e profissional.

    Trazendo um pouco mais da nossa história de contribuição e impacto na sociedade, com pioneirismo e inovação, o Bradesco surgiu com o propósito de democratizar o acesso aos serviços bancários no Brasil. Nesses 81 anos, sempre ao lado dos brasileiros, nos tornamos uma das maiores Organizações do país, formada por empresas e fundações que oferecem produtos e serviços que vão de soluções financeiras a seguros, saúde e educação.

    E estamos sempre em busca de pessoas dispostas a fazer a diferença na vida de milhões de brasileiros, contribuindo para o desenvolvimento da sociedade.

    Responsabilidades e atribuições

    O que é o nosso time de Avaliação Independente de Modelos (AVIM)?

    O Departamento AVIM – Avaliação de Modelos Independentes, se tratando de simplificações da realidade, os modelos são sujeitos a riscos, que podem desencadear perdas relacionadas a decisões baseadas em estimativas incorretas ou obsoletas ou, ainda, uso inapropriado. Para identificar e mitigar esses riscos, a Área de Avaliação Independente de Modelos (AVIM) atua efetivamente no fortalecimento do uso de modelos, realizando ações de aculturamento e disseminando as boas práticas em modelagem

    Modelo de trabalho : Híbrido

    Unidade: 2 dias presenciais e 3 dias remotos

    Como será seu dia a dia?

    Sendo Data Scientist III, atuará na gerência de validação de modelos e suas principais atividades serão:


    • Avaliar o desempenho dos modelos utilizados pela Organização para medir o grau de exposição ao risco e propor adequações e/ou ajustes que agreguem valor ao negócio, com vistas ao cumprimento de demandas regulatórias e/ou da Diretoria;
    • Revisar e validar os novos modelos de mensuração de risco e capital, emitindo pareceres sobre a adequação dos critérios de desenvolvimento e capacidade preditiva dos modelos e sua assertividade;
    • Testes de aderência das estimativas dos modelos de riscos aos resultados obtidos, com vistas a amparar o processo de validação do sistema de mensuração, teste de estresse e backtesting;
    • Elaborar relatórios de validação de modelos e apresentar os resultados em diversos fóruns;
    • Executar a validação do ambiente tecnológico no qual os modelos de riscos e capital utilizados pela Organização estão inseridos, com o propósito de aferir que as informações estejam integras e consistentes, procurando evidenciar o alinhamento com as melhores práticas de Governança e controles de TI;


    Requisitos e Qualificações

    O que você precisa ter ou saber?


    • Graduação completa em Matemática, Física, Ciência Atuaria, Economia ou Engenharia.
    • Conhecimento em estatística descritiva e técnicas de amostragem;
    • Conhecimento em técnicas de modelagem (regressão logística, árvore de decisão, ajuste de séries temporais, técnicas de machine learning);
    • Conhecimento avançado em Matemática Financeira e produtos bancários;
    • Conhecimento em fraude;
    • Conhecimento em SAS, PowerBI e Pacote Office;


    Será um diferencial se você tiver:


    • Mestrado ou MBA e Gestão de Riscos ou Ciência de Dados
    • Conhecimento em linguagem R e Python;


    O que nós oferecemos

    No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios as todas nossas pessoas colaboradoras.


    • PLR ou Bônus: Conforme a elegibilidade de cargo*
    • Convênio Médico
    • Convênio Odontológico
    • Seguro de Vida
    • Vale Alimentação
    • Vale Refeição
    • 13º Cesta Alimentação
    • Total Pass
    • Vale Transporte (adesão opcional)
    • Descontos em produtos e serviços em empresas parceiras
    • Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
    • Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
    • Unibrad: Universidade Corporativa Bradesco
    • Isenção de Tarifas: condições especiais em diversos produtos e serviços
    • Auxílio Creche ou Babá
    • Licença Paternidade estendida de 20 dias
    • Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto


    Saiba mais sobre o Bradesco

    Para mais informações sobre as nossas práticas de gestão de pessoas e indicadores, acesse bradescori.com.br/o-bradesco/capital-humano/ .

    Para mais informações institucionais, de negócios e financeiras, além das práticas e iniciativas de sustentabilidade, acesse bradescori.com.br/o-bradesco/relatorio-integrado/ . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +4001492855,https://br.linkedin.com/jobs/view/cientista-de-dados-at-cliente-fc-4001492855?position=1&pageNum=5&refId=IowpwYVBQXK1E%2F1%2BL0Dmjw%3D%3D&trackingId=9s2L39nIy3FecnHVn5vicA%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de Dados,Cliente FC,Greater São Paulo Area,"Estamos contratando Ciência de dados para projetos de transformação digital, desenvolvendo ferramentas inovadoras para entregar a melhor experiência para os usuários da plataforma de uma grande empresa. + +Entendemos Que Para Essa Evolução, é Necessário: + +""AWS; + +""Microsoft; + +""Azure/OpenAI; + +""Google Cloud; + +""DeepL; + +""MicroServiços. + +""IA processamento de dados; IA generativa. + +Principais Responsabilidades: + +""Habilidade para traduzir as necessidades de negócio em uma solução identificando onde estão as dificuldades e caminhos de maior risco de entrega; + +""Excelentes habilidades de resolução de problemas e atenção aos detalhes; + +""Fortes habilidades de comunicação e colaboração. Estamos contratando Ciência de dados para projetos de transformação digital, desenvolvendo ferramentas inovadoras para entregar a melhor experiência para os usuários da plataforma de uma grande empresa. + +Principais Responsabilidades: + +""Habilidade para traduzir as necessidades de negócio em uma solução identificando onde estão as dificuldades e caminhos de maior risco de entrega; + +""Excelentes habilidades de resolução de problemas e atenção aos detalhes; + +""Fortes habilidades de comunicação e colaboração. +Show more ","
    + + + + + +
    +
    + Estamos contratando Ciência de dados para projetos de transformação digital, desenvolvendo ferramentas inovadoras para entregar a melhor experiência para os usuários da plataforma de uma grande empresa.

    Entendemos Que Para Essa Evolução, é Necessário:

    ""AWS;

    ""Microsoft;

    ""Azure/OpenAI;

    ""Google Cloud;

    ""DeepL;

    ""MicroServiços.

    ""IA processamento de dados; IA generativa.

    Principais Responsabilidades:

    ""Habilidade para traduzir as necessidades de negócio em uma solução identificando onde estão as dificuldades e caminhos de maior risco de entrega;

    ""Excelentes habilidades de resolução de problemas e atenção aos detalhes;

    ""Fortes habilidades de comunicação e colaboração. Estamos contratando Ciência de dados para projetos de transformação digital, desenvolvendo ferramentas inovadoras para entregar a melhor experiência para os usuários da plataforma de uma grande empresa.

    Principais Responsabilidades:

    ""Habilidade para traduzir as necessidades de negócio em uma solução identificando onde estão as dificuldades e caminhos de maior risco de entrega;

    ""Excelentes habilidades de resolução de problemas e atenção aos detalhes;

    ""Fortes habilidades de comunicação e colaboração. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +3984833292,https://br.linkedin.com/jobs/view/cientista-de-dados-s%C3%AAnior-desenvolvimento-de-modelos-at-equifax-i-boavista-3984833292?position=3&pageNum=5&refId=IowpwYVBQXK1E%2F1%2BL0Dmjw%3D%3D&trackingId=fNJSPK%2FzaNOxD3A6BwrQ6g%3D%3D&trk=public_jobs_jserp-result_search-card,Cientista de Dados Sênior (Desenvolvimento de Modelos),Equifax I BoaVista,"Barueri, São Paulo, Brazil","ATENÇÃO! + +Para essa vaga, o modelo de trabalho é híbrido, sendo presencial três vezes por semana em nosso escritório em Barueri/SP - por isso, o profissional precisa residir em São Paulo ou região de fácil deslocamento. + + + + +Sobre a vaga + + + + +O Cientista de Dados Sênior terá a oportunidade de fazer parte de um time inovador e com diversos talentos. Em uma empresa global e com forte expertise em Dados e Analytics terá a oportunidade de se desenvolver em aspectos relacionados à modelagem estatística, melhoria de processos e busca por inovações em um ambiente de constante aprendizado. + + + + +Desenvolvimento de modelos estatísticos customizados entre outros desafios de análise preditiva; +Busca constante por melhoria nos processos e inovações em relação à modelagem. + + + + +Experiências necessárias: + + + + +Ensino superior em cursos como Estatística, Matemática, Engenharias, Física e cursos correlatos +Conhecimento sólido em princípios de estatística e aprendizado de máquina +Experiência prévia em manipulação e análise de dados +Experiência prévia em modelagem preditiva +Conhecimento sólido em programação (exemplos de ferramenta: Python ou R) + + + + +Benefícios: + +Oferecemos benefícios abrangentes, como Participação nos Resultados, Benefícios Flexíveis (VR, VA, Plano de Saúde e Odontológico), Seguro de Vida, Gympass e Day-off no aniversário. Apoiamos famílias com Auxílio Creche, licença maternidade de 180 dias e licença paternidade de 20 dias. Nossa prioridade é promover o bem-estar, o equilíbrio, o crescimento pessoal e profissional. + + + + +#BVS + +Show more ","
    + + + + + +
    +
    +

    ATENÇÃO!

    Para essa vaga, o modelo de trabalho é híbrido, sendo presencial três vezes por semana em nosso escritório em Barueri/SP - por isso, o profissional precisa residir em São Paulo ou região de fácil deslocamento.


    Sobre a vaga


    O Cientista de Dados Sênior terá a oportunidade de fazer parte de um time inovador e com diversos talentos. Em uma empresa global e com forte expertise em Dados e Analytics terá a oportunidade de se desenvolver em aspectos relacionados à modelagem estatística, melhoria de processos e busca por inovações em um ambiente de constante aprendizado.


    • Desenvolvimento de modelos estatísticos customizados entre outros desafios de análise preditiva;
    • Busca constante por melhoria nos processos e inovações em relação à modelagem.


    Experiências necessárias:


    • Ensino superior em cursos como Estatística, Matemática, Engenharias, Física e cursos correlatos
    • Conhecimento sólido em princípios de estatística e aprendizado de máquina
    • Experiência prévia em manipulação e análise de dados
    • Experiência prévia em modelagem preditiva
    • Conhecimento sólido em programação (exemplos de ferramenta: Python ou R)


    Benefícios:

    Oferecemos benefícios abrangentes, como Participação nos Resultados, Benefícios Flexíveis (VR, VA, Plano de Saúde e Odontológico), Seguro de Vida, Gympass e Day-off no aniversário. Apoiamos famílias com Auxílio Creche, licença maternidade de 180 dias e licença paternidade de 20 dias. Nossa prioridade é promover o bem-estar, o equilíbrio, o crescimento pessoal e profissional.


    #BVS

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-30,[] +3980269725,https://br.linkedin.com/jobs/view/software-engineer-early-career-at-google-3980269725?position=4&pageNum=5&refId=IowpwYVBQXK1E%2F1%2BL0Dmjw%3D%3D&trackingId=E%2B1yulFMqgdOokGQaQoTfg%3D%3D&trk=public_jobs_jserp-result_search-card,"Software Engineer, Early Career",Google,Greater São Paulo Area,"Please submit your resume in English - we can only consider applications submitted in this language. + +Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Belo Horizonte, State of Minas Gerais, Brazil; São Paulo, State of São Paulo, Brazil.Minimum qualifications: + + +Bachelor’s degree or equivalent practical experience. +1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). + + +Preferred qualifications: + + +Master's degree or PhD in Computer Science, or a related technical field. +Experience developing accessible technologies. +Ability to start in 2024. + + +About The Job + +Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. + +With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. + +Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another. + +Responsibilities + + +Write product or system development code. +Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. +Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). +Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. +Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. + + + +Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . +Show more ","
    + + + + + +
    +
    + Please submit your resume in English - we can only consider applications submitted in this language.

    Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Belo Horizonte, State of Minas Gerais, Brazil; São Paulo, State of São Paulo, Brazil.Minimum qualifications:

    • Bachelor’s degree or equivalent practical experience.
    • 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

    Preferred qualifications:

    • Master's degree or PhD in Computer Science, or a related technical field.
    • Experience developing accessible technologies.
    • Ability to start in 2024.

    About The Job

    Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

    With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

    Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

    Responsibilities

    • Write product or system development code.
    • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
    • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
    • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
    • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.


    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-10,[] +4002693495,https://br.linkedin.com/jobs/view/data-scientist-search-real-world-journeys-english-portuguese-at-google-4002693495?position=5&pageNum=5&refId=IowpwYVBQXK1E%2F1%2BL0Dmjw%3D%3D&trackingId=YDNwcP%2FE2Xl9s4s1fAqZ%2FA%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Search, Real World Journeys (English, Portuguese)",Google,Greater São Paulo Area,"Please submit your resume in English - we can only consider applications submitted in this language. + +Minimum qualifications: + + +Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience. +5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. +Ability to communicate in English and Portuguese fluently to support client relationship management in this region. + + +Preferred qualifications: + + +8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. + + +About The Job + +In this role, you will work cross-functionally with multiple tech leads from Engineering, Product and UX to advance our metric capabilities. You will apply advanced modeling techniques (e.g., LLM, Gemini models) for ML based metrics, Human Evaluation methods and design research based on user-survey data. Our responsibilities include metric development, product performance investigation, experiment design, and complex user journey analysis. + +Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another. + +Responsibilities + + +Partner with Product and Engineering teams of Real World Journeys to provide problem-solving thought leadership, support metrics research and advanced statistical analysis of complex user journeys on search. +Work cross-functionally to identify metric improvement areas, design new metrics and evaluation methods. +Support teams with advanced experimentation methods, detecting user learning effects and driving actionable user insights from A/B testing metrics analysis. +Work with large data sets and solve non-routine investigative issues, use problem-solving and statistical methods to the issues to measure quality, improve consumer products, and understand the behavior of end-users. +Make product recommendations with effective presentations of findings at multiple levels of stakeholders, and storytelling with data. + + + +Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . +Show more ","
    + + + + + +
    +
    + Please submit your resume in English - we can only consider applications submitted in this language.

    Minimum qualifications:

    • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
    • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
    • Ability to communicate in English and Portuguese fluently to support client relationship management in this region.

    Preferred qualifications:

    • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.

    About The Job

    In this role, you will work cross-functionally with multiple tech leads from Engineering, Product and UX to advance our metric capabilities. You will apply advanced modeling techniques (e.g., LLM, Gemini models) for ML based metrics, Human Evaluation methods and design research based on user-survey data. Our responsibilities include metric development, product performance investigation, experiment design, and complex user journey analysis.

    Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

    Responsibilities

    • Partner with Product and Engineering teams of Real World Journeys to provide problem-solving thought leadership, support metrics research and advanced statistical analysis of complex user journeys on search.
    • Work cross-functionally to identify metric improvement areas, design new metrics and evaluation methods.
    • Support teams with advanced experimentation methods, detecting user learning effects and driving actionable user insights from A/B testing metrics analysis.
    • Work with large data sets and solve non-routine investigative issues, use problem-solving and statistical methods to the issues to measure quality, improve consumer products, and understand the behavior of end-users.
    • Make product recommendations with effective presentations of findings at multiple levels of stakeholders, and storytelling with data.


    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3984463236,https://br.linkedin.com/jobs/view/data-ai-scientist-pleno-at-bryme-3984463236?position=6&pageNum=5&refId=IowpwYVBQXK1E%2F1%2BL0Dmjw%3D%3D&trackingId=zDLv%2BH01uSbDoFpIs8uN%2Fw%3D%3D&trk=public_jobs_jserp-result_search-card,Data & AI Scientist | Pleno,Bryme,"São Paulo, São Paulo, Brazil","Nosso cliente um banco está em busca de um profissional para assumir a posição de Data & AI Scientist | Pleno + +Responsabilidades + + +Entender de maneira profunda problemas de negócio e seus potenciais benefícios, se resolvidos +Coletar, limpar e organizar dados financeiros complexos, provenientes de diversas fontes, garantindo qualidade e integridade dos dados. +Realizar análises exploratórias e descoberta de padrões nos dados, identificando oportunidades de negócios e fornecendo suporte às tomadas de decisão. +Aplicar técnicas estatísticas avançadas, métodos de aprendizado de máquina, como regressão, classificação e agrupamento, IA Generativa, dentre outros, para desenvolver modelos preditivos e descobrir insights. +Participar da sustentação e monitoramento do valor da solução obtida pelas aplicações implementadas, fazendo ajustes e melhorias conforme necessário. +Contribuir para a evolução do pipeline em analytics engineering, otimizando processos de coleta, preparação e modelagem de dados. +Colaborar com outras equipes internas, como engenharia, risco, TI, negócios, para desenvolver soluções inovadoras e alcançar os objetivos estratégicos do Inter. +Comunicar os resultados das análises de forma clara e concisa, utilizando visualizações, apresentações e relatórios para as partes interessadas. + + +Requisitos + + +Formação acadêmica em Ciência da Computação, Estatística, Matemática, Engenharia ou área relacionada. +Experiência sólida com análise de dados, cientista de dados ou função similar em um ambiente bancário, financeiro ou de fintech. +Excelente habilidade de programação em linguagens como Python, R, SQL e ferramentas de análise de dados, para contexto de big data (ex: PySpark) +Conhecimento profundo em algoritmos de aprendizado de máquina, como árvores de decisão, regressão linear, redes neurais, entre outros. +Familiaridade com técnicas de pré-processamento e limpeza de dados, além de habilidades em manipulação de big data em infraestrutura cloud +Habilidades de comunicação, com a capacidade de explicar e apresentar conceitos complexos de forma clara e concisa +Capacidade de trabalhar de forma autônoma em projetos, atender prazos estabelecidos e gerenciar demandas concorrentes. +Conhecimentos básicos de arquitetura de solução para orientação técnica. +Experiência com IA. + + +Modelo de Contratação: CLT + +Local de trabalho: Pinheiros/SP + +Benefícios + + +Vale Transporte +Vale Refeição +Variável por desempenho individual +Variável por desempenho da empresa +Variável por tempo de casa +Bônus Anual +Entre outros +Show more ","
    + + + + + +
    +
    + Nosso cliente um banco está em busca de um profissional para assumir a posição de Data & AI Scientist | Pleno

    Responsabilidades

    • Entender de maneira profunda problemas de negócio e seus potenciais benefícios, se resolvidos
    • Coletar, limpar e organizar dados financeiros complexos, provenientes de diversas fontes, garantindo qualidade e integridade dos dados.
    • Realizar análises exploratórias e descoberta de padrões nos dados, identificando oportunidades de negócios e fornecendo suporte às tomadas de decisão.
    • Aplicar técnicas estatísticas avançadas, métodos de aprendizado de máquina, como regressão, classificação e agrupamento, IA Generativa, dentre outros, para desenvolver modelos preditivos e descobrir insights.
    • Participar da sustentação e monitoramento do valor da solução obtida pelas aplicações implementadas, fazendo ajustes e melhorias conforme necessário.
    • Contribuir para a evolução do pipeline em analytics engineering, otimizando processos de coleta, preparação e modelagem de dados.
    • Colaborar com outras equipes internas, como engenharia, risco, TI, negócios, para desenvolver soluções inovadoras e alcançar os objetivos estratégicos do Inter.
    • Comunicar os resultados das análises de forma clara e concisa, utilizando visualizações, apresentações e relatórios para as partes interessadas.

    Requisitos

    • Formação acadêmica em Ciência da Computação, Estatística, Matemática, Engenharia ou área relacionada.
    • Experiência sólida com análise de dados, cientista de dados ou função similar em um ambiente bancário, financeiro ou de fintech.
    • Excelente habilidade de programação em linguagens como Python, R, SQL e ferramentas de análise de dados, para contexto de big data (ex: PySpark)
    • Conhecimento profundo em algoritmos de aprendizado de máquina, como árvores de decisão, regressão linear, redes neurais, entre outros.
    • Familiaridade com técnicas de pré-processamento e limpeza de dados, além de habilidades em manipulação de big data em infraestrutura cloud
    • Habilidades de comunicação, com a capacidade de explicar e apresentar conceitos complexos de forma clara e concisa
    • Capacidade de trabalhar de forma autônoma em projetos, atender prazos estabelecidos e gerenciar demandas concorrentes.
    • Conhecimentos básicos de arquitetura de solução para orientação técnica.
    • Experiência com IA.

    Modelo de Contratação: CLT

    Local de trabalho: Pinheiros/SP

    Benefícios

    • Vale Transporte
    • Vale Refeição
    • Variável por desempenho individual
    • Variável por desempenho da empresa
    • Variável por tempo de casa
    • Bônus Anual
    • Entre outros
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +3999823802,https://br.linkedin.com/jobs/view/cientista-de-dados-at-nava-technology-for-business-3999823802?position=8&pageNum=5&refId=IowpwYVBQXK1E%2F1%2BL0Dmjw%3D%3D&trackingId=MQkwJFeYv17Yaj2ZIX5cQQ%3D%3D&trk=public_jobs_jserp-result_search-card,CIENTISTA DE DADOS,NAVA - Technology for Business,"São Paulo, São Paulo, Brazil","A NAVA está em busca de uma Pessoa Cientista de Dados para fazer parte do nosso time de pessoas incríveis! + +Por que trabalhar na NAVA? + +Somos uma empresa de tecnologia que atende as maiores companhias dos setores financeiro, seguros, meios de pagamento, telecomunicações, energia e varejo do país. Inspiramos nossos times a criar soluções para que essas companhias transformem e impactem positivamente o mundo. + +Temos um time curioso, criativo, energético e inspirador, com grande foco nas pessoas para gerar inovação, transformação e crescimento. Dentro de um ambiente dinâmico e ágil, o nosso time está em expansão para acompanhar o crescimento exponencial da NAVA e dos nossos Clientes. + +Acolhemos as diferenças porque acreditamos que um ambiente diverso contribui para a inovação e uma sociedade mais justa e equânime e convidamos você à assumir esse compromisso junto com a gente. + +Responsabilidades e atribuições + +Como será o seu dia a dia? + +Atuação como Cientista de Dados em um dos nossos projetos do setor financeiro. + +Requisitos e qualificações + +O que esperamos de você? + + +Identificação, Coleta e Integração de Dados: Recolher dados de várias fontes e garantir que todas as informações necessárias para aplicar o modelo sejam obtidas; +Validação dos Dados: Validar se as informações utilizadas no desenvolvimento do modelo são as mesmas utilizadas na aplicação/ produtização dos modelos desenvolvidos e corrigir quando diferente; +Transformação e Tratamento de Dados: Converter dados para um formato adequado para a aplicação do modelo (woe, flag, categorização); +Análise de estabilidade das variáveis: cálculo de frequência, preenchimento, taxa de resposta e descritivas básicas para cada uma das variáveis explicativas, detectando padrões e tendências nos dados ao longo do tempo; +Análise de estabilidade e performance do modelo: cálculo de frequência e taxa de resposta ao longo do tempo para os diferentes ratings (classificação de escores) obtidos pelo modelo; +Relatórios Visuais: Gerar relatórios visuais que resumam as análises acima; +Atualização de Dados: Implementar processos para atualizar regularmente e automaticamente os dados e manter a integridade das análises acima; +Documentação de Processos: Documentar cada um dos processos acima e garantir que sejam replicados e estejam versionados; +Documentação do Modelo: Criar resumo dos critérios adotados na modelagem e avaliar/corrigir documentações já existentes conforme padrão adotado pela BMG; +Revisão de Modelos: Rever e ajustar procedimentos e metodologias com base em novas descobertas ou mudanças nos requisitos, mantendo o padrão e organização. Habilidades e Ferramentas Necessárias +Ferramentas de Análise: Python (pandas, NumPy, Scikit Learn), SQL, Excel, +Conhecimento Estatístico: Conhecimento em modelagem estatística, estatísticas descritivas, análise de dados e programação computacional. +Organização +Desejável conhecimento em Crédito e modelos de PDD + + + +Será considerado diferencial se você tiver: + +Atuação em projetos do setor financeiro. + +Informações adicionais + +Horário de trabalho: 09h às 18h + +Modelo de trabalho para este projeto/cliente: Hibrido + +Local de trabalho: São Paulo + +Além de ser uma empresa certificada Great Place to Work, você vai encontrar na NAVA: + +✅ Oportunidades de carreira 🚀 + +✅ Liberdade para escrever seu próprio código 🏆 + +✅ Diversidade e diferentes formas de ver o mundo 🌈 + +✅ Comunidades que incentivam o crescimento de todos 📚 + +✅ Treinamento In Company 💻 + +✅ Um time incrível 😎 + +✅ Empresa engajada no Pacto Global da ONU 💪🏼 + +✅ Projetos inovadores 💡 + +✅ Alta avaliação no Glassdoor 📣 +Show more ","
    + + + + + +
    +
    + A NAVA está em busca de uma Pessoa Cientista de Dados para fazer parte do nosso time de pessoas incríveis!

    Por que trabalhar na NAVA?

    Somos uma empresa de tecnologia que atende as maiores companhias dos setores financeiro, seguros, meios de pagamento, telecomunicações, energia e varejo do país. Inspiramos nossos times a criar soluções para que essas companhias transformem e impactem positivamente o mundo.

    Temos um time curioso, criativo, energético e inspirador, com grande foco nas pessoas para gerar inovação, transformação e crescimento. Dentro de um ambiente dinâmico e ágil, o nosso time está em expansão para acompanhar o crescimento exponencial da NAVA e dos nossos Clientes.

    Acolhemos as diferenças porque acreditamos que um ambiente diverso contribui para a inovação e uma sociedade mais justa e equânime e convidamos você à assumir esse compromisso junto com a gente.

    Responsabilidades e atribuições

    Como será o seu dia a dia?

    Atuação como Cientista de Dados em um dos nossos projetos do setor financeiro.

    Requisitos e qualificações

    O que esperamos de você?

    • Identificação, Coleta e Integração de Dados: Recolher dados de várias fontes e garantir que todas as informações necessárias para aplicar o modelo sejam obtidas;
    • Validação dos Dados: Validar se as informações utilizadas no desenvolvimento do modelo são as mesmas utilizadas na aplicação/ produtização dos modelos desenvolvidos e corrigir quando diferente;
    • Transformação e Tratamento de Dados: Converter dados para um formato adequado para a aplicação do modelo (woe, flag, categorização);
    • Análise de estabilidade das variáveis: cálculo de frequência, preenchimento, taxa de resposta e descritivas básicas para cada uma das variáveis explicativas, detectando padrões e tendências nos dados ao longo do tempo;
    • Análise de estabilidade e performance do modelo: cálculo de frequência e taxa de resposta ao longo do tempo para os diferentes ratings (classificação de escores) obtidos pelo modelo;
    • Relatórios Visuais: Gerar relatórios visuais que resumam as análises acima;
    • Atualização de Dados: Implementar processos para atualizar regularmente e automaticamente os dados e manter a integridade das análises acima;
    • Documentação de Processos: Documentar cada um dos processos acima e garantir que sejam replicados e estejam versionados;
    • Documentação do Modelo: Criar resumo dos critérios adotados na modelagem e avaliar/corrigir documentações já existentes conforme padrão adotado pela BMG;
    • Revisão de Modelos: Rever e ajustar procedimentos e metodologias com base em novas descobertas ou mudanças nos requisitos, mantendo o padrão e organização. Habilidades e Ferramentas Necessárias
    • Ferramentas de Análise: Python (pandas, NumPy, Scikit Learn), SQL, Excel,
    • Conhecimento Estatístico: Conhecimento em modelagem estatística, estatísticas descritivas, análise de dados e programação computacional.
    • Organização
    • Desejável conhecimento em Crédito e modelos de PDD


    Será considerado diferencial se você tiver:

    Atuação em projetos do setor financeiro.

    Informações adicionais

    Horário de trabalho: 09h às 18h

    Modelo de trabalho para este projeto/cliente: Hibrido

    Local de trabalho: São Paulo

    Além de ser uma empresa certificada Great Place to Work, você vai encontrar na NAVA:

    ✅ Oportunidades de carreira 🚀

    ✅ Liberdade para escrever seu próprio código 🏆

    ✅ Diversidade e diferentes formas de ver o mundo 🌈

    ✅ Comunidades que incentivam o crescimento de todos 📚

    ✅ Treinamento In Company 💻

    ✅ Um time incrível 😎

    ✅ Empresa engajada no Pacto Global da ONU 💪🏼

    ✅ Projetos inovadores 💡

    ✅ Alta avaliação no Glassdoor 📣 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +3991001496,https://br.linkedin.com/jobs/view/especialista-ii-em-ci%C3%AAncias-de-dados-at-brasilseg-3991001496?position=9&pageNum=5&refId=IowpwYVBQXK1E%2F1%2BL0Dmjw%3D%3D&trackingId=Wmx1gahnbUOHf0hhIGyx7w%3D%3D&trk=public_jobs_jserp-result_search-card,Especialista II em Ciências de Dados,Brasilseg,"São Paulo, São Paulo, Brazil","Sobre a vaga + +Especialista em Ciência de Dados / Data Science Specialist / Cientista de Dados / Data Scientist + +O que estará sobre seus cuidados: + + +A sua missão será realizar estudos e análises a fim de encontrar insights que potencializem o negócio e construir modelos preditivos que melhorem a experiência do cliente e/ou aumentem a eficiência das áreas. Fará parte de uma equipe multidisciplinar, com cientista, engenheiros e analistas obcecados por dados, que tem como objetivo auxiliar e impactar a tomada de decisão na empresa através dos dados. + + + +Responsabilidades e atribuições + +Além de cuidar, você precisa ter conhecimento em: + + +Ter perfil analítico e quantitativo, habilidade para resolver problemas, boa capacidade de explicação e orientado a entrega de resultados; +Experiência em construir análises e modelos de segmentação, fidelização, churn, cross sell, up sell, NBO (Next Best Offer) ou sistemas de recomendação; +Conhecimento em manipulação de dados para consumo e extração. + + + +Requisitos e qualificações + + +Formação: Superior Completo; + + + +O que é importante você conhecer? + + +Estatística e Análise de Dados; +Machine Learning; +Programação: SQL e Python; +Tableau, Power BI ou Quicksight. + + + +Diferencial: + + +Pós-graduação, Mestrado ou Doutorado; +Cloud AWS (Sagemaker e EMR); +MLOps; + + + +Informações adicionais + +Como cuidamos de você: + +Benefícios: + + +Seguro Saúde; +Seguro Odontológico; +Seguro Decesso; +Vale Transporte +Estacionamento Gratuito; +Vale Refeição; +Vale Alimentação; +13ª Cesta de Alimentação; +Seguro de Vida em Grupo; +Plano de Previdência Privada; +Auxílio Creche e/ou Babá; +Participação nos Lucros e Resultados (PLR); +Gympass; +Day off para comemorar seu aniversário; +Universidade Corporativa com mais 500 cursos; +Skillhub: descontos em diversas instituições de ensino; +Programa de Saúde Integrada: mental, social, financeira e física; + + + +Onde ficamos? + +Nossa sede fica localizada na zona sul de São Paulo, próximo a estação de trem Morumbi (linha 9 – Esmeralda), na Av. das Nações Unidas nº 14261. +Show more ","
    + + + + + +
    +
    + Sobre a vaga

    Especialista em Ciência de Dados / Data Science Specialist / Cientista de Dados / Data Scientist

    O que estará sobre seus cuidados:

    • A sua missão será realizar estudos e análises a fim de encontrar insights que potencializem o negócio e construir modelos preditivos que melhorem a experiência do cliente e/ou aumentem a eficiência das áreas. Fará parte de uma equipe multidisciplinar, com cientista, engenheiros e analistas obcecados por dados, que tem como objetivo auxiliar e impactar a tomada de decisão na empresa através dos dados.


    Responsabilidades e atribuições

    Além de cuidar, você precisa ter conhecimento em:

    • Ter perfil analítico e quantitativo, habilidade para resolver problemas, boa capacidade de explicação e orientado a entrega de resultados;
    • Experiência em construir análises e modelos de segmentação, fidelização, churn, cross sell, up sell, NBO (Next Best Offer) ou sistemas de recomendação;
    • Conhecimento em manipulação de dados para consumo e extração.


    Requisitos e qualificações

    • Formação: Superior Completo;


    O que é importante você conhecer?

    • Estatística e Análise de Dados;
    • Machine Learning;
    • Programação: SQL e Python;
    • Tableau, Power BI ou Quicksight.


    Diferencial:

    • Pós-graduação, Mestrado ou Doutorado;
    • Cloud AWS (Sagemaker e EMR);
    • MLOps;


    Informações adicionais

    Como cuidamos de você:

    Benefícios:

    • Seguro Saúde;
    • Seguro Odontológico;
    • Seguro Decesso;
    • Vale Transporte
    • Estacionamento Gratuito;
    • Vale Refeição;
    • Vale Alimentação;
    • 13ª Cesta de Alimentação;
    • Seguro de Vida em Grupo;
    • Plano de Previdência Privada;
    • Auxílio Creche e/ou Babá;
    • Participação nos Lucros e Resultados (PLR);
    • Gympass;
    • Day off para comemorar seu aniversário;
    • Universidade Corporativa com mais 500 cursos;
    • Skillhub: descontos em diversas instituições de ensino;
    • Programa de Saúde Integrada: mental, social, financeira e física;


    Onde ficamos?

    Nossa sede fica localizada na zona sul de São Paulo, próximo a estação de trem Morumbi (linha 9 – Esmeralda), na Av. das Nações Unidas nº 14261. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3988566272,https://it.linkedin.com/jobs/view/data-scientist-at-terna-spa-3988566272?position=1&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=gScfrgkB2484gj2Qf3OYEw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Terna SpA,"Rome, Latium, Italy","Terna, gestore della rete di trasmissione nazionale (RTN), è impegnata nel processo di transizione ecologica e come regista del sistema elettrico e abilitatore della Twin Transition (transizione energetica e innovazione digitale), ha il compito di sviluppare una rete in grado di gestire una sempre migliore integrazione delle rinnovabili e consentire la progressiva decarbonizzazione del sistema, garantendo al contempo il costante bilanciamento tra energia prodotta e consumata. + +Vuoi essere protagonista della transizione energetica e vuoi dare il tuo contributo per la costruzione del sistema energetico di domani? + + + + + + + +Terna, nell’area di Digital Solutions, è alla ricerca di persone da inserire nel ruolo di Data Scientist per la sede di Roma. + + + + + + + +Le principali attività saranno: + + + + +Gestione del ciclo di vita dei progetti di Data & Analytics, dalla pianificazione all'implementazione e al monitoraggio; +Collaborazione con le diverse funzioni aziendali per comprendere le loro esigenze e tradurre in progetti concreti; +Ricerca e selezione di tecnologie e strumenti per l'analisi dei dati; +Sviluppo e implementazione di best practice per la governance dei dati; +Comunicazione efficace dei risultati dei progetti ai diversi stakeholder. + + + + +Requisiti Necessari: + + + + +Laurea in Matematica, Ingegneria, Statistica, Fisica, Data Science o similare; +Almeno 4 anni di esperienza in Data & Analytics, con focus sulla gestione di progetti complessi; +Esperienza di lavoro in un contesto aziendale di grandi dimensioni; +Dimestichezza con le metodologie di gestione dei progetti (Agile, Waterfall, etc.); +Conoscenza approfondita di tecniche di data mining, analisi statistica e machine learning; +Padronanza di linguaggi di programmazione per l'analisi dei dati (Python, R, SQL, etc.); +Ottime capacità di comunicazione e presentazione in italiano e inglese; + + + + + + + +Requisiti Preferenziali: + + + + +Eccellenti capacità di riconoscimento dei modelli e di modellizzazione predittiva; +Conoscenza elevata di strumenti di data mining avanzati (es. R, Python e Scala); +Buona conoscenza dei toolkit di deep learning e machine learning (es. TensorFlow, Keras, PyTorch, Hugginface); +Esperienza con tecnologie di big data (es. Hadoop, Spark, Kafka); +Competenze in tecniche di modellizzazione avanzate, inclusi modelli di machine learning supervisionati e non supervisionati, reti neurali, algoritmi di boosting e bagging; +Familiarità con l'implementazione di modelli in ambienti di produzione e utilizzo di MLOps (Machine Learning Operations) per il deployment e il monitoraggio continuo dei modelli; +Esperienza con piattaforme di cloud computing come AWS, Google Cloud, Azure per lo sviluppo e la scalabilità dei modelli di machine learning; +Conoscenza di tecnologie e pratiche di data governance e data privacy; +Esperienza con Large Language Models (LLM) come GPT-3/4 e BERT, inclusa la messa a punto e l'implementazione. + + + + + + + + + + +Offriamo un contesto in cui le persone possano essere intraprendenti e partecipare alla costruzione di un ambiente di lavoro innovativo e orientato al benessere organizzativo. Siamo impegnati a valorizzare l'unicità di tutti in una comunità di lavoro inclusiva e a prendere in considerazione le candidature con le qualifiche richieste, offrendo pari opportunità di lavoro.​ Assicuriamo a tutte le nostre persone un programma di on boarding, sessioni di training mediante Terna Academy e processi di sviluppo per il miglioramento personale. + + + + +È possibile candidarsi entro e non oltre il 02/09/2024 cliccando su “Candidati ora”. Referente per la selezione: Simona Sapio - talentacquisition@terna.it + + + + +Ricordiamo che i CV inviati tramite e-mail non verranno presi in considerazione. I candidati considerati in linea con il profilo saranno contattati nelle prossime settimane. Ringraziamo tutti gli altri che hanno inviato la propria candidatura per l’interesse dimostrato verso il nostro Gruppo e confermiamo che la candidatura sarà tenuta in considerazione nel caso di ulteriori future opportunità professionali. + +Show more ","
    + + + + + +
    +
    +

    Terna, gestore della rete di trasmissione nazionale (RTN), è impegnata nel processo di transizione ecologica e come regista del sistema elettrico e abilitatore della Twin Transition (transizione energetica e innovazione digitale), ha il compito di sviluppare una rete in grado di gestire una sempre migliore integrazione delle rinnovabili e consentire la progressiva decarbonizzazione del sistema, garantendo al contempo il costante bilanciamento tra energia prodotta e consumata.

    Vuoi essere protagonista della transizione energetica e vuoi dare il tuo contributo per la costruzione del sistema energetico di domani?



    Terna, nell’area di Digital Solutions, è alla ricerca di persone da inserire nel ruolo di Data Scientist per la sede di Roma.



    Le principali attività saranno:


    • Gestione del ciclo di vita dei progetti di Data & Analytics, dalla pianificazione all'implementazione e al monitoraggio;
    • Collaborazione con le diverse funzioni aziendali per comprendere le loro esigenze e tradurre in progetti concreti;
    • Ricerca e selezione di tecnologie e strumenti per l'analisi dei dati;
    • Sviluppo e implementazione di best practice per la governance dei dati;
    • Comunicazione efficace dei risultati dei progetti ai diversi stakeholder.


    Requisiti Necessari:


    • Laurea in Matematica, Ingegneria, Statistica, Fisica, Data Science o similare;
    • Almeno 4 anni di esperienza in Data & Analytics, con focus sulla gestione di progetti complessi;
    • Esperienza di lavoro in un contesto aziendale di grandi dimensioni;
    • Dimestichezza con le metodologie di gestione dei progetti (Agile, Waterfall, etc.);
    • Conoscenza approfondita di tecniche di data mining, analisi statistica e machine learning;
    • Padronanza di linguaggi di programmazione per l'analisi dei dati (Python, R, SQL, etc.);
    • Ottime capacità di comunicazione e presentazione in italiano e inglese;



    Requisiti Preferenziali:


    • Eccellenti capacità di riconoscimento dei modelli e di modellizzazione predittiva;
    • Conoscenza elevata di strumenti di data mining avanzati (es. R, Python e Scala);
    • Buona conoscenza dei toolkit di deep learning e machine learning (es. TensorFlow, Keras, PyTorch, Hugginface);
    • Esperienza con tecnologie di big data (es. Hadoop, Spark, Kafka);
    • Competenze in tecniche di modellizzazione avanzate, inclusi modelli di machine learning supervisionati e non supervisionati, reti neurali, algoritmi di boosting e bagging;
    • Familiarità con l'implementazione di modelli in ambienti di produzione e utilizzo di MLOps (Machine Learning Operations) per il deployment e il monitoraggio continuo dei modelli;
    • Esperienza con piattaforme di cloud computing come AWS, Google Cloud, Azure per lo sviluppo e la scalabilità dei modelli di machine learning;
    • Conoscenza di tecnologie e pratiche di data governance e data privacy;
    • Esperienza con Large Language Models (LLM) come GPT-3/4 e BERT, inclusa la messa a punto e l'implementazione.




    Offriamo un contesto in cui le persone possano essere intraprendenti e partecipare alla costruzione di un ambiente di lavoro innovativo e orientato al benessere organizzativo. Siamo impegnati a valorizzare l'unicità di tutti in una comunità di lavoro inclusiva e a prendere in considerazione le candidature con le qualifiche richieste, offrendo pari opportunità di lavoro.​ Assicuriamo a tutte le nostre persone un programma di on boarding, sessioni di training mediante Terna Academy e processi di sviluppo per il miglioramento personale.


    È possibile candidarsi entro e non oltre il 02/09/2024 cliccando su “Candidati ora”. Referente per la selezione: Simona Sapio - talentacquisition@terna.it


    Ricordiamo che i CV inviati tramite e-mail non verranno presi in considerazione. I candidati considerati in linea con il profilo saranno contattati nelle prossime settimane. Ringraziamo tutti gli altri che hanno inviato la propria candidatura per l’interesse dimostrato verso il nostro Gruppo e confermiamo che la candidatura sarà tenuta in considerazione nel caso di ulteriori future opportunità professionali.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-31,[] +3999418249,https://it.linkedin.com/jobs/view/junior-responsible-ai-data-scientist-at-skill-farm-3999418249?position=2&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=OZaPJjP3mShCXx0Vso9Sqw%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Responsible AI Data Scientist,Skill Farm,"Rome, Latium, Italy","Skill Farm Members are invited to apply for the following role, the description is shown below: + +Responsibilities: + +supportare lo sviluppo di progetti end-to-end su temi di Responsible AI come la mitigazione dei bias, l'explainability, la protezione dei dati, la robustezza contro attacchi avversari e l'interazione uomo-AI; + +sviluppare nuovi modelli, algoritmi e metodi che incorporino i principi di Responsible AI nella progettazione e distribuzione dei sistemi di AI; + +lavorare a stretto contatto con i team di data science per tradurre i risultati della ricerca in applicazioni pratiche e prototipi; + +comunicare e diffondere le migliori pratiche sull'implementazione della Responsible AI a stakeholder interni ed esterni; + +mantenere un aggiornamento costante sulle ultime ricerche e tendenze nella Responsible AI e nei campi correlati; + +collaborare strettamente con il team di AI etica e tradurre i requisiti legali in requisiti tecnici. + +Skills & Qualifications: + +Esperienza nella ricerca sulla Responsible AI + +Conoscenza di Python. + +Esperienza con framework e strumenti di apprendimento automatico come TensorFlow, PyTorch, Scikit-learn o Keras. + +Passione per la creazione di un impatto sociale positivo con l'AI + +Esperienze con le principali tecniche di modellizzazione statistiche e di machine learning. + +Esperienze di bias assessment, mitigazione dei bias e realizzazione di sistemi di explainability. + +Esperienze con i processi di versionamento del software (es. Git). + +Esperienze con Containers e Platform come Service (RH Openshift). + +Esperienze nelle tecnologie per la gestione dei dati. +Show more ","
    + + + + + +
    +
    + Skill Farm Members are invited to apply for the following role, the description is shown below:

    Responsibilities:

    supportare lo sviluppo di progetti end-to-end su temi di Responsible AI come la mitigazione dei bias, l'explainability, la protezione dei dati, la robustezza contro attacchi avversari e l'interazione uomo-AI;

    sviluppare nuovi modelli, algoritmi e metodi che incorporino i principi di Responsible AI nella progettazione e distribuzione dei sistemi di AI;

    lavorare a stretto contatto con i team di data science per tradurre i risultati della ricerca in applicazioni pratiche e prototipi;

    comunicare e diffondere le migliori pratiche sull'implementazione della Responsible AI a stakeholder interni ed esterni;

    mantenere un aggiornamento costante sulle ultime ricerche e tendenze nella Responsible AI e nei campi correlati;

    collaborare strettamente con il team di AI etica e tradurre i requisiti legali in requisiti tecnici.

    Skills & Qualifications:

    Esperienza nella ricerca sulla Responsible AI

    Conoscenza di Python.

    Esperienza con framework e strumenti di apprendimento automatico come TensorFlow, PyTorch, Scikit-learn o Keras.

    Passione per la creazione di un impatto sociale positivo con l'AI

    Esperienze con le principali tecniche di modellizzazione statistiche e di machine learning.

    Esperienze di bias assessment, mitigazione dei bias e realizzazione di sistemi di explainability.

    Esperienze con i processi di versionamento del software (es. Git).

    Esperienze con Containers e Platform come Service (RH Openshift).

    Esperienze nelle tecnologie per la gestione dei dati. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3980784692,https://it.linkedin.com/jobs/view/machine-learning-engineer-at-translated-3980784692?position=3&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=1NhQFYYXBpjGmxj6Dkn9OQ%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Translated,"Rome, Latium, Italy","About Translated + +Translated is a leading company in AI-enabled translation services. We are on a mission to allow everyone to understand and be understood in their own language. + +Our success stems from a unique blend of the world’s #1 adaptive neural machine translation technology (IDC MarketScape 2022), the largest network of vetted, native-speaking professional translators, and top-ranked AI-enabled text, audio, and video translation tools (Gartner, 2022). + +By leveraging a seamless symbiosis of artificial intelligence and human creativity, we design custom localization projects that were previously unthinkable, helping more than 280,000 clients grow their businesses worldwide. + +We’re looking for a passionate Machine Learning Engineer to join the Translated Data Science and AI Production team in our HQ in Pi Campus, Rome. The persona will be responsible for building and maintaining the Machine Learning and AI services of the company. + +Key responsabilities + + +Lead the development of Machine Learning services +Build and maintain CI/CD pipelines +Improve and maintain our GPU cluster +Improve and maintain our API ecosystem +Optimize and put in production Machine Learning models +Collaborate with other team members on internal and external models +Coding, debugging and testing +Build high-quality reusable code that can be used in the future +Develop functional and sustainable applications with clean codes +Collaborate with a multidisciplinary team of product owners, designers, developers and system administrators +Collaborate with the ModernMT and Research teams to create the best Translation Engine ever + + +Requirements + + +Master degree in Computer Science or SW Engineering courses +3+ years of working experience +Proven experience in developing and maintaining scalable Machine Learning and AI services +Deep Knowledge of Python, Java and Bash +Experience with Kubernetes and Docker +Experience with Relational DBMS ( MySQL, PostgreSQL ) +Experience with NoSQL DBMS ( Redis, MongoDB ) +Experience with version control GIT and Github workflow +Proactive, self-driven and enjoys solving complex problems, not just in the primary area of responsibility but across boundaries. + + +Headquarter + +Translated is hosted at Pi Campus, a working environment immersed in nature where 7 luxury villas have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups. + +Benefits and Perks + + +Gym +Swimming Pool +Kickboxing, TRX, and Pilates classes +Table Tennis and Football table +Kitchen and snacks +Bonuses and incentives for employees who quit smoking, ride a bicycle to work, or adopt a child. + + +Learn more about our company: https://translated.com/work-at-translated-onboarding + +Diversity statement + +At Translated, we proudly embrace and celebrate each individual's unique qualities to our team, regardless of race, sexual orientation, gender identity, or any other differences. We recognize that these diverse perspectives empower us to overcome challenges, foster innovation, and drive excellence. As an inclusive and equal-opportunity employer, we are committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential. + +Privacy Policy +Show more ","
    + + + + + +
    +
    + About Translated

    Translated is a leading company in AI-enabled translation services. We are on a mission to allow everyone to understand and be understood in their own language.

    Our success stems from a unique blend of the world’s #1 adaptive neural machine translation technology (IDC MarketScape 2022), the largest network of vetted, native-speaking professional translators, and top-ranked AI-enabled text, audio, and video translation tools (Gartner, 2022).

    By leveraging a seamless symbiosis of artificial intelligence and human creativity, we design custom localization projects that were previously unthinkable, helping more than 280,000 clients grow their businesses worldwide.

    We’re looking for a passionate Machine Learning Engineer to join the Translated Data Science and AI Production team in our HQ in Pi Campus, Rome. The persona will be responsible for building and maintaining the Machine Learning and AI services of the company.

    Key responsabilities

    • Lead the development of Machine Learning services
    • Build and maintain CI/CD pipelines
    • Improve and maintain our GPU cluster
    • Improve and maintain our API ecosystem
    • Optimize and put in production Machine Learning models
    • Collaborate with other team members on internal and external models
    • Coding, debugging and testing
    • Build high-quality reusable code that can be used in the future
    • Develop functional and sustainable applications with clean codes
    • Collaborate with a multidisciplinary team of product owners, designers, developers and system administrators
    • Collaborate with the ModernMT and Research teams to create the best Translation Engine ever

    Requirements

    • Master degree in Computer Science or SW Engineering courses
    • 3+ years of working experience
    • Proven experience in developing and maintaining scalable Machine Learning and AI services
    • Deep Knowledge of Python, Java and Bash
    • Experience with Kubernetes and Docker
    • Experience with Relational DBMS ( MySQL, PostgreSQL )
    • Experience with NoSQL DBMS ( Redis, MongoDB )
    • Experience with version control GIT and Github workflow
    • Proactive, self-driven and enjoys solving complex problems, not just in the primary area of responsibility but across boundaries.

    Headquarter

    Translated is hosted at Pi Campus, a working environment immersed in nature where 7 luxury villas have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups.

    Benefits and Perks

    • Gym
    • Swimming Pool
    • Kickboxing, TRX, and Pilates classes
    • Table Tennis and Football table
    • Kitchen and snacks
    • Bonuses and incentives for employees who quit smoking, ride a bicycle to work, or adopt a child.

    Learn more about our company: https://translated.com/work-at-translated-onboarding

    Diversity statement

    At Translated, we proudly embrace and celebrate each individual's unique qualities to our team, regardless of race, sexual orientation, gender identity, or any other differences. We recognize that these diverse perspectives empower us to overcome challenges, foster innovation, and drive excellence. As an inclusive and equal-opportunity employer, we are committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential.

    Privacy Policy +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-23,[] +3989566793,https://it.linkedin.com/jobs/view/junior-artificial-intelligence-engineer-at-smart-i-srl-3989566793?position=4&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=7tPYVc8UkRLZQPhPY8jiQA%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Artificial Intelligence Engineer,Smart-I Srl,Greater Rome Metropolitan Area,"Smart-I S.r.l, a Maggioli group company, is a fresh and dynamic company developing products with Computer Vision and A.I. technology for Smart Cities, Smart Industries, and Smart Retail. We're on the cusp of something that is world-changing and we're looking for someone to join our talented team. This is for a position at our Rome office settled at Tecnopolo Tiburtino. + + + + +Your contribution: + +As an Artificial Intelligence Junior, you will be in charge of designing and developing the brand-new artificial intelligence algorithms to be hosted on our embedded board as well as on our cloud infrastructure. + + + + +[ Some of your responsibilities include ] + +Designing & developing machine/deep learning algorithms and edge computing techniques +Design & implementation of computer vision algorithms. +Data analysis & manipulation for training, validation, and testing. + + + + +[ Your skills ] + + + + +Required + +Extensive programming experience in Python +Extensive knowledge of OpenCV and Image Manipulation +Extensive knowledge of TensorFlow/PyTorch libraries +Good in English (written & spoken) +Good knowledge of Linux OS + + + + +Preferred + +Experience in C++ programming +Experience in multi-core programming and optimization +Experience with AI Accelerators +Experience in code versioning (Git) +Experience in AWS and GCP Environment + + + + +[ Education ] + +MSc in Computer Science / Artificial Intelligence / Engineering / Robotics + + + + +[ Our offer ] + +Young and passionate team +Flexible working time and informal working environment +Hybrid working +Challenging and exciting work +Merit-based approach +Show more ","
    + + + + + +
    +
    +

    Smart-I S.r.l, a Maggioli group company, is a fresh and dynamic company developing products with Computer Vision and A.I. technology for Smart Cities, Smart Industries, and Smart Retail. We're on the cusp of something that is world-changing and we're looking for someone to join our talented team. This is for a position at our Rome office settled at Tecnopolo Tiburtino.


    Your contribution:

    As an Artificial Intelligence Junior, you will be in charge of designing and developing the brand-new artificial intelligence algorithms to be hosted on our embedded board as well as on our cloud infrastructure.


    [ Some of your responsibilities include ]

    • Designing & developing machine/deep learning algorithms and edge computing techniques
    • Design & implementation of computer vision algorithms.
    • Data analysis & manipulation for training, validation, and testing.


    [ Your skills ]


    Required

    • Extensive programming experience in Python
    • Extensive knowledge of OpenCV and Image Manipulation
    • Extensive knowledge of TensorFlow/PyTorch libraries
    • Good in English (written & spoken)
    • Good knowledge of Linux OS


    Preferred

    • Experience in C++ programming
    • Experience in multi-core programming and optimization
    • Experience with AI Accelerators
    • Experience in code versioning (Git)
    • Experience in AWS and GCP Environment


    [ Education ]

    MSc in Computer Science / Artificial Intelligence / Engineering / Robotics


    [ Our offer ]

    • Young and passionate team
    • Flexible working time and informal working environment
    • Hybrid working
    • Challenging and exciting work
    • Merit-based approach
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +3994592558,https://it.linkedin.com/jobs/view/machine-learning-engineer-at-ntt-data-italia-3994592558?position=6&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=kWHq4Usg%2B1q0FdgwS3mn2g%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,NTT DATA Italia,"Rome, Latium, Italy","NTT DATA, è tra i principali player a livello mondiale in ambito IT services. Con più di 151.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura. Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine. Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze. + +Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento! + +Nell’area di Innovation & Advanced Technologies di NTT Data Italia, stiamo ampliando il team di Digital Linguistics & Human Behaviour che si occupa di AI e GenAI. + +La figura di Machine Learning Engineer si occuperà dello sviluppo di assistenti virtuali basati su AI generativa dotati di caratteristiche empatiche, dell’implementazione di applicativi di NLP/GENAI, di attività di configurazione e rilascio dei software sulle principali piattaforme cloud. + +E’ Richiesta Esperienza Di Almeno 2 Anni In + + +Java, Python, Docker e Kubernetes (nice to have: C#, Node Js/Typescript) +MongoDB, Postgres +Azure: App service, CosmosDB, Storage Account (nice to have: Azure Open AI, Azure Bot, CLU, Azure DevOps) +GCP, AWS + + + +Completano il profilo buona conoscenza della lingua inglese, passione per la tecnologia e curiosità per l’innovazione. + +Sedi: Milano, Roma, Bologna, Napoli, Salerno, Cosenza +Show more ","
    + + + + + +
    +
    + NTT DATA, è tra i principali player a livello mondiale in ambito IT services. Con più di 151.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura. Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine. Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze.

    Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento!

    Nell’area di Innovation & Advanced Technologies di NTT Data Italia, stiamo ampliando il team di Digital Linguistics & Human Behaviour che si occupa di AI e GenAI.

    La figura di Machine Learning Engineer si occuperà dello sviluppo di assistenti virtuali basati su AI generativa dotati di caratteristiche empatiche, dell’implementazione di applicativi di NLP/GENAI, di attività di configurazione e rilascio dei software sulle principali piattaforme cloud.

    E’ Richiesta Esperienza Di Almeno 2 Anni In

    • Java, Python, Docker e Kubernetes (nice to have: C#, Node Js/Typescript)
    • MongoDB, Postgres
    • Azure: App service, CosmosDB, Storage Account (nice to have: Azure Open AI, Azure Bot, CLU, Azure DevOps)
    • GCP, AWS


    Completano il profilo buona conoscenza della lingua inglese, passione per la tecnologia e curiosità per l’innovazione.

    Sedi: Milano, Roma, Bologna, Napoli, Salerno, Cosenza +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3989112570,https://it.linkedin.com/jobs/view/machine-learning-engineer-at-translated-3989112570?position=7&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=iWVwCpoAyblOIlMQX6x7Tw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Translated,Greater Rome Metropolitan Area,"About Translated + +Translated is a leading company in AI-enabled translation services. We are on a mission to allow everyone to understand and be understood in their own language. + +Our success stems from a unique blend of the world’s #1 adaptive neural machine translation technology (IDC MarketScape 2022), the largest network of vetted, native-speaking professional translators, and top-ranked AI-enabled text, audio, and video translation tools (Gartner, 2022). + +By leveraging a seamless symbiosis of artificial intelligence and human creativity, we design custom localization projects that were previously unthinkable, helping more than 280,000 clients grow their businesses worldwide. + +We’re looking for a passionate Machine Learning Engineer to join the Translated Data Science and AI Production team in our HQ in Pi Campus, Rome. The persona will be responsible for building and maintaining the Machine Learning and AI services of the company. + + + + +Key responsabilities + +Lead the development of Machine Learning services +Build and maintain CI/CD pipelines +Improve and maintain our GPU cluster +Improve and maintain our API ecosystem +Optimize and put in production Machine Learning models +Collaborate with other team members on internal and external models +Coding, debugging and testing +Build high-quality reusable code that can be used in the future +Develop functional and sustainable applications with clean codes +Collaborate with a multidisciplinary team of product owners, designers, developers and system administrators +Collaborate with the ModernMT and Research teams to create the best Translation Engine ever. + + + + +Requirements + +Master degree in Computer Science or SW Engineering courses +3+ years of working experience +Proven experience in developing and maintaining scalable Machine Learning and AI services +Deep Knowledge of Python, Java and Bash +Experience with Kubernetes and Docker +Experience with Relational DBMS ( MySQL, PostgreSQL ) +Experience with NoSQL DBMS ( Redis, MongoDB ) +Experience with version control GIT and Github workflow +Proactive, self-driven and enjoys solving complex problems, not just in the primary area of responsibility but across boundaries. + + + + +Headquarter + +Translated is hosted at Pi Campus, a working environment immersed in nature where 7 luxury villas have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups. + + + + +Benefits and Perks + +Gym +Swimming Pool +Kickboxing, TRX, and Pilates classes +Table Tennis and Football table +Kitchen and snacks +Bonuses and incentives for employees who quit smoking, ride a bicycle to work, or adopt a child. + +Learn more about our company: https://translated.com/work-at-translated-onboarding. + + + + +Diversity statement + +At Translated, we proudly embrace and celebrate each individual's unique qualities to our team, regardless of race, sexual orientation, gender identity, or any other differences. We recognize that these diverse perspectives empower us to overcome challenges, foster innovation, and drive excellence. As an inclusive and equal-opportunity employer, we are committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential. + +Show more ","
    + + + + + +
    +
    +

    About Translated

    Translated is a leading company in AI-enabled translation services. We are on a mission to allow everyone to understand and be understood in their own language.

    Our success stems from a unique blend of the world’s #1 adaptive neural machine translation technology (IDC MarketScape 2022), the largest network of vetted, native-speaking professional translators, and top-ranked AI-enabled text, audio, and video translation tools (Gartner, 2022).

    By leveraging a seamless symbiosis of artificial intelligence and human creativity, we design custom localization projects that were previously unthinkable, helping more than 280,000 clients grow their businesses worldwide.

    We’re looking for a passionate Machine Learning Engineer to join the Translated Data Science and AI Production team in our HQ in Pi Campus, Rome. The persona will be responsible for building and maintaining the Machine Learning and AI services of the company.


    Key responsabilities

    • Lead the development of Machine Learning services
    • Build and maintain CI/CD pipelines
    • Improve and maintain our GPU cluster
    • Improve and maintain our API ecosystem
    • Optimize and put in production Machine Learning models
    • Collaborate with other team members on internal and external models
    • Coding, debugging and testing
    • Build high-quality reusable code that can be used in the future
    • Develop functional and sustainable applications with clean codes
    • Collaborate with a multidisciplinary team of product owners, designers, developers and system administrators
    • Collaborate with the ModernMT and Research teams to create the best Translation Engine ever.


    Requirements

    • Master degree in Computer Science or SW Engineering courses
    • 3+ years of working experience
    • Proven experience in developing and maintaining scalable Machine Learning and AI services
    • Deep Knowledge of Python, Java and Bash
    • Experience with Kubernetes and Docker
    • Experience with Relational DBMS ( MySQL, PostgreSQL )
    • Experience with NoSQL DBMS ( Redis, MongoDB )
    • Experience with version control GIT and Github workflow
    • Proactive, self-driven and enjoys solving complex problems, not just in the primary area of responsibility but across boundaries.


    Headquarter

    Translated is hosted at Pi Campus, a working environment immersed in nature where 7 luxury villas have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups.


    Benefits and Perks

    • Gym
    • Swimming Pool
    • Kickboxing, TRX, and Pilates classes
    • Table Tennis and Football table
    • Kitchen and snacks
    • Bonuses and incentives for employees who quit smoking, ride a bicycle to work, or adopt a child.

    Learn more about our company: https://translated.com/work-at-translated-onboarding.


    Diversity statement

    At Translated, we proudly embrace and celebrate each individual's unique qualities to our team, regardless of race, sexual orientation, gender identity, or any other differences. We recognize that these diverse perspectives empower us to overcome challenges, foster innovation, and drive excellence. As an inclusive and equal-opportunity employer, we are committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3967682442,https://it.linkedin.com/jobs/view/junior-%E2%80%93-ml-rpa-developer-%E2%80%93-risk-advisory-at-deloitte-3967682442?position=8&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=GEfnb6bM2UCXe76IyZabrw%3D%3D&trk=public_jobs_jserp-result_search-card,Junior – ML & RPA Developer – Risk Advisory,Deloitte,"Rome, Latium, Italy","Stiamo cercando una figura Junior da inserire nel team Digital Controls CPP di Deloitte Risk Advisory per la sede di Milano e Roma che lavorerà in modalità Hybrid. + +Il business Digital Controls CPP si occupa di fornire servizi di Digital Transformation, che hanno l’obiettivo di supportare la digitalizzazione dei processi di business, mettendo in atto attività che prevedono l’utilizzo di strumenti di Robotic Process Automation, Data Analytics, Machine Learning e AI sfruttando i principali servizi messi a disposizione dai più importanti player del settore dell’automazione di processo e cloud. + +Your Role + +La risorsa Junior verrà inserita in un team di lavoro e si occuperà di: + + +Aiutare nella progettazione e design di soluzioni IT sia di tipo applicativo che di integrazione; +Porterà avanti attività di troubleshooting e reverse engineering su soluzioni già implementate; +Implementazione di nuovi processi di automazione a partire dall’analisi di requisiti di Business fino al rilascio in produzione dopo opportuni Unit e User Acceptance Test. + + +Winning Requirements + + +Laurea triennale in informatica o in un campo STEM correlato; +Esperienza su progettualità di trasformazione digitale e/o automazione di processo; +Forte predisposizione al problem solving e mentalità analitica; +Buona conoscenza della lingua inglese (scritta e parlata); +Conoscenza dei linguaggi C#, SQL, .Net’; +Ottime abilità comunicative nei confronti degli stakeholder di progetto (colleghi, cliente, etc.); +Voglia di imparare, propositività e capacità di teamworking. + + +Make An Impact That Matters + +Deloitte è un network leader nei servizi professionali alle imprese, presente in oltre 150 Paesi con 457 mila professionisti. Offriamo soluzioni innovative e sostenibili in Audit & Assurance, Consulting, Financial Advisory, Risk Advisory, Tax e Legal. Il nostro obiettivo è supportare le aziende nello sviluppo e nell'implementazione di strategie al passo con il mercato. + +In Deloitte la sostenibilità è un tema centrale. Per questo, attraverso le strategie e le progettualità legate alle tematiche Environmental, Social e Governance (ESG), ci impegniamo a promuovere una crescita responsabile, sostenibile e inclusiva per il Pianeta, le nostre persone e la società. Scopri di più sulle nostre strategie di Corporate Sustainability, tra cui Well-being, la strategia volta a migliorare il benessere fisico, mentale e sociale delle nostre persone, affinché siano felici e piene di energia in tutti gli ambiti della loro vita e WorldClimate, la strategia globale di Deloitte per diventare un’organizzazione Net Zero e per guidare scelte responsabili all’interno e all’esterno dell’organizzazione. + +Sei pront* a #MakeAnImpactThatMatter insieme? Candidati ora! + +Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del dlgs. 196/2003. La ricerca rispetta il d.lgs. 198/2006, il D.lgs. 215/03 e il D.lgs. 216/03 ed è aperta a candidat* di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. +Show more ","
    + + + + + +
    +
    + Stiamo cercando una figura Junior da inserire nel team Digital Controls CPP di Deloitte Risk Advisory per la sede di Milano e Roma che lavorerà in modalità Hybrid.

    Il business Digital Controls CPP si occupa di fornire servizi di Digital Transformation, che hanno l’obiettivo di supportare la digitalizzazione dei processi di business, mettendo in atto attività che prevedono l’utilizzo di strumenti di Robotic Process Automation, Data Analytics, Machine Learning e AI sfruttando i principali servizi messi a disposizione dai più importanti player del settore dell’automazione di processo e cloud.

    Your Role

    La risorsa Junior verrà inserita in un team di lavoro e si occuperà di:

    • Aiutare nella progettazione e design di soluzioni IT sia di tipo applicativo che di integrazione;
    • Porterà avanti attività di troubleshooting e reverse engineering su soluzioni già implementate;
    • Implementazione di nuovi processi di automazione a partire dall’analisi di requisiti di Business fino al rilascio in produzione dopo opportuni Unit e User Acceptance Test.

    Winning Requirements

    • Laurea triennale in informatica o in un campo STEM correlato;
    • Esperienza su progettualità di trasformazione digitale e/o automazione di processo;
    • Forte predisposizione al problem solving e mentalità analitica;
    • Buona conoscenza della lingua inglese (scritta e parlata);
    • Conoscenza dei linguaggi C#, SQL, .Net’;
    • Ottime abilità comunicative nei confronti degli stakeholder di progetto (colleghi, cliente, etc.);
    • Voglia di imparare, propositività e capacità di teamworking.

    Make An Impact That Matters

    Deloitte è un network leader nei servizi professionali alle imprese, presente in oltre 150 Paesi con 457 mila professionisti. Offriamo soluzioni innovative e sostenibili in Audit & Assurance, Consulting, Financial Advisory, Risk Advisory, Tax e Legal. Il nostro obiettivo è supportare le aziende nello sviluppo e nell'implementazione di strategie al passo con il mercato.

    In Deloitte la sostenibilità è un tema centrale. Per questo, attraverso le strategie e le progettualità legate alle tematiche Environmental, Social e Governance (ESG), ci impegniamo a promuovere una crescita responsabile, sostenibile e inclusiva per il Pianeta, le nostre persone e la società. Scopri di più sulle nostre strategie di Corporate Sustainability, tra cui Well-being, la strategia volta a migliorare il benessere fisico, mentale e sociale delle nostre persone, affinché siano felici e piene di energia in tutti gli ambiti della loro vita e WorldClimate, la strategia globale di Deloitte per diventare un’organizzazione Net Zero e per guidare scelte responsabili all’interno e all’esterno dell’organizzazione.

    Sei pront* a #MakeAnImpactThatMatter insieme? Candidati ora!

    Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del dlgs. 196/2003. La ricerca rispetta il d.lgs. 198/2006, il D.lgs. 215/03 e il D.lgs. 216/03 ed è aperta a candidat* di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3922741828,https://it.linkedin.com/jobs/view/ml-engineer-senior-at-ntt-data-italia-3922741828?position=9&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=DDK2CoAw3CjOQKRip%2FnagQ%3D%3D&trk=public_jobs_jserp-result_search-card,ML Engineer Senior,NTT DATA Italia,"Rome, Latium, Italy","NTT DATA, Trusted Global Innovator, è tra i principali player a livello mondiale in ambito IT services. Con più di 140.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura. Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine. Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze. + +Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento! + +www.nttdata.com/it + +Responsibilities + +The ideal candidate as Senior Machine Learning Engineer in NTT DATA will have a solid Generative AI hands-on capability (preferably on Azure/GCP and on-premise GenAI architecture and MLops), mathematical background, experience working on a range of classification, informational retrieval, clustering, and optimization problems, establishing scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation. + +The Senior Machine Learning Engineer will work alongside experienced Data Scientists, Data and ML Engineers to identify business opportunities, design and create new data pipelines from scratch, from experiments to deploying them in production. + +He/She will be responsible for multiple projects, leading the ML Engineers and connecting with the stakeholders. + +Required Skills + + +At least 5 years of production experience working in Data Science or Software Engineering; +Deep knowledge of math, probability, statistics and algorithms; +At least 6/12 months of experience in Generative AI deployment and underlying architecture handling; +Vector Database knowledge is well appreciated; +Understanding of data structures, data modeling and software architecture; +Fluent in a at least two mainstream programming language (Python, Scala, Java, C++); +Experience in building an infrastructure for technical users, such as Data Scientist, ML practitioners or data consumers/producers; +Strong knowledge of Spark, Databricks is a strong plus; +Experience developing/deploying ML solutions in one of the public cloud platforms and on a Cross-cloud base, Snowflake knowledge is a plus; +Deep knowledge with machine learning frameworks (such as Keras or PyTorch); +Ability to design and implement machine learning pipelines in a production environment; +Experience with deployment including knowledge of CI/CD, containerization, and related concepts with a focus over MLops/Re-Training/Drift Management; +Ability to train more junior team members in multiple Machine Learning and Deep Learning concepts; +Establish and maintain strong relationships with internal team members and external clients + + + +Location: Milano, Bari, Bologna, Cosenza, Napoli, Pisa, Roma, Torino +Show more ","
    + + + + + +
    +
    + NTT DATA, Trusted Global Innovator, è tra i principali player a livello mondiale in ambito IT services. Con più di 140.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura. Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine. Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze.

    Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento!

    www.nttdata.com/it

    Responsibilities

    The ideal candidate as Senior Machine Learning Engineer in NTT DATA will have a solid Generative AI hands-on capability (preferably on Azure/GCP and on-premise GenAI architecture and MLops), mathematical background, experience working on a range of classification, informational retrieval, clustering, and optimization problems, establishing scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation.

    The Senior Machine Learning Engineer will work alongside experienced Data Scientists, Data and ML Engineers to identify business opportunities, design and create new data pipelines from scratch, from experiments to deploying them in production.

    He/She will be responsible for multiple projects, leading the ML Engineers and connecting with the stakeholders.

    Required Skills

    • At least 5 years of production experience working in Data Science or Software Engineering;
    • Deep knowledge of math, probability, statistics and algorithms;
    • At least 6/12 months of experience in Generative AI deployment and underlying architecture handling;
    • Vector Database knowledge is well appreciated;
    • Understanding of data structures, data modeling and software architecture;
    • Fluent in a at least two mainstream programming language (Python, Scala, Java, C++);
    • Experience in building an infrastructure for technical users, such as Data Scientist, ML practitioners or data consumers/producers;
    • Strong knowledge of Spark, Databricks is a strong plus;
    • Experience developing/deploying ML solutions in one of the public cloud platforms and on a Cross-cloud base, Snowflake knowledge is a plus;
    • Deep knowledge with machine learning frameworks (such as Keras or PyTorch);
    • Ability to design and implement machine learning pipelines in a production environment;
    • Experience with deployment including knowledge of CI/CD, containerization, and related concepts with a focus over MLops/Re-Training/Drift Management;
    • Ability to train more junior team members in multiple Machine Learning and Deep Learning concepts;
    • Establish and maintain strong relationships with internal team members and external clients


    Location: Milano, Bari, Bologna, Cosenza, Napoli, Pisa, Roma, Torino +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +3953133305,https://it.linkedin.com/jobs/view/artificial-intelligence-space-engineer-at-thales-3953133305?position=10&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=%2Fg7Uc0%2BRCb84Tb8asa%2BiHA%3D%3D&trk=public_jobs_jserp-result_search-card,Artificial Intelligence Space Engineer,Thales,"Rome, Latium, Italy","A Joint Venture between Thales (67%) and Leonardo (33%), Thales Alenia Space is a global space manufacturer delivering, for more than 40 years, high-tech solutions for telecommunications, navigation, Earth Observation, environmental management, exploration, science and orbital infrastructures. Thanks to our diversity of skills, talents and cultures, our customers (governments, institutions, space agencies, telecommunications operators), therefore have Space to Connect, Secure & Defend, Observe & Protect, Explore, Travel & Navigate. + +Artificial Intelligence Engineering + +CANDIDATES THAT WOULD IMPRESS US + +PROFILE: + +You graduated from an Engineering School with a master’s degree – a PhD is a plus + +Your level of experience ranges from junior to advance: you are a student OR/AND you have already occupied one or more positions among the following: Algorithm or Software Engineer, Artificial Intelligence Engineer + +You are curious and willing to stay abreast of the latest trends (technical, philosophical, ethical by design) + +You enjoy thinking ""outside the box"" and use your creativity to address complex challenges + +You are recognised as a team player and promote collaborative work + +You are user centric and want to design components accordingly + +COMPETENCIES: + +You have in-depth knowledge in mathematics, algorithms, experiment plan, continuous iterations and Agility + +You are proficient in one of the following Artificial Intelligence Approches: + +Data driven AI, Symbolic AI, Hybrid AI on the Solution + +Symbolic Artificial Intelligence and reasoning + +Human/machine dialog + +Systems Analysis + +You understand the norms, laws and standards + +You have knowledge of cybersecurity + +You can confidently discuss with people from different jobs and background + +You master foundational concepts in mathematics/ statistics science and their application to deploy them on Solution studies: statistical modelling, linear algebra, optimisation, machine learning Mathematics and Statistics + +NICE TO HAVE: + + +Working heritage on major satellite Earth Observation and Navigation systems +Simulation by tool such as Matlab & Simulink +adopting modern Agile and DevOps processes +Knowledge of Data analysis and big data technologies +Knowledge of Cloud technologies and architectures +Knowledge of Edgetechnologies +Knowledge of object programming in particular Python (Pyorch) , Java, C ++ and relevant Data Science packages (such as numpy, scipy, scikit-learn, pandas...); +Good knowledge of operating systems; + + + +LIFE AS A THALES ARTIFICIAL INTELLIGENCE ENGINEERING ROLE + +As an Artificial Intelligence Engineering Role within Thales, you will: + +Design and develop trustworthy artificial intelligence components for various domains + +Identify the right cutting-edge Artificial Intelligence technologies (machine learning, symbolic AI, dialogue) and develop the Artificial Intelligence component accordingly + +Work on Natural Language Processing (NLP) and Understanding (NLU), and also to design multimodal approaches for Human-Machin Dialog including intention understanding, reasoning and hybrid AI + +Work on Machine Learning, causality vs. correlation, and/or other Data driven AI technics such as Random Forest, Evolutionary Algorithms, … + +Work on Symbolic AI, Ontology, Semantic Web, Knowledge based Reasoning, Meta-heuristics, Problem Solving, Operations Research, Decision Making and reasoning + +Propose and design approach alternatives + +Integrate scientific method into engineering system methodology + +Ensure data knowledge and traceability + +Ensure continuous technowatch and be aware of the latest trends (technical, philosophical, ethical by design) + +Define the system capabilities thanks to a functional, logical and value analysis, describing functions to be performed to meet the real needs of the user in the various scenarii and maximising product value for Customer + +YOUR CAREER AT THALES + +Future opportunities will allow you to discover other domains or sites. You will be able to evolve and grow your competences in different areas: + +Room and attention to personal development + +Build your talents in another domain of Thales Group, discovering new products, new customers, new country or go to a more complex Solution + +Choose between a technical expertise or a leadership path + +Build an international career within a leading Engineering Group + +At Thales Alenia Space we provide CAREERS and not only jobs. With Thales Alenia Space employing around 8,900 employees in 10 countries with 17 sites in Europe and a plant in the US, our mobility policy enables employees each year to develop their careers at home and abroad. Thales Alenia Space sees space as a new horizon, helping to build a better, more sustainable life on Earth #SpaceForLife. Great journeys start here, apply now! +Show more ","
    + + + + + +
    +
    + A Joint Venture between Thales (67%) and Leonardo (33%), Thales Alenia Space is a global space manufacturer delivering, for more than 40 years, high-tech solutions for telecommunications, navigation, Earth Observation, environmental management, exploration, science and orbital infrastructures. Thanks to our diversity of skills, talents and cultures, our customers (governments, institutions, space agencies, telecommunications operators), therefore have Space to Connect, Secure & Defend, Observe & Protect, Explore, Travel & Navigate.

    Artificial Intelligence Engineering

    CANDIDATES THAT WOULD IMPRESS US

    PROFILE:

    You graduated from an Engineering School with a master’s degree – a PhD is a plus

    Your level of experience ranges from junior to advance: you are a student OR/AND you have already occupied one or more positions among the following: Algorithm or Software Engineer, Artificial Intelligence Engineer

    You are curious and willing to stay abreast of the latest trends (technical, philosophical, ethical by design)

    You enjoy thinking ""outside the box"" and use your creativity to address complex challenges

    You are recognised as a team player and promote collaborative work

    You are user centric and want to design components accordingly

    COMPETENCIES:

    You have in-depth knowledge in mathematics, algorithms, experiment plan, continuous iterations and Agility

    You are proficient in one of the following Artificial Intelligence Approches:

    Data driven AI, Symbolic AI, Hybrid AI on the Solution

    Symbolic Artificial Intelligence and reasoning

    Human/machine dialog

    Systems Analysis

    You understand the norms, laws and standards

    You have knowledge of cybersecurity

    You can confidently discuss with people from different jobs and background

    You master foundational concepts in mathematics/ statistics science and their application to deploy them on Solution studies: statistical modelling, linear algebra, optimisation, machine learning Mathematics and Statistics

    NICE TO HAVE:

    • Working heritage on major satellite Earth Observation and Navigation systems
    • Simulation by tool such as Matlab & Simulink
    • adopting modern Agile and DevOps processes
    • Knowledge of Data analysis and big data technologies
    • Knowledge of Cloud technologies and architectures
    • Knowledge of Edgetechnologies
    • Knowledge of object programming in particular Python (Pyorch) , Java, C ++ and relevant Data Science packages (such as numpy, scipy, scikit-learn, pandas...);
    • Good knowledge of operating systems;


    LIFE AS A THALES ARTIFICIAL INTELLIGENCE ENGINEERING ROLE

    As an Artificial Intelligence Engineering Role within Thales, you will:

    Design and develop trustworthy artificial intelligence components for various domains

    Identify the right cutting-edge Artificial Intelligence technologies (machine learning, symbolic AI, dialogue) and develop the Artificial Intelligence component accordingly

    Work on Natural Language Processing (NLP) and Understanding (NLU), and also to design multimodal approaches for Human-Machin Dialog including intention understanding, reasoning and hybrid AI

    Work on Machine Learning, causality vs. correlation, and/or other Data driven AI technics such as Random Forest, Evolutionary Algorithms, …

    Work on Symbolic AI, Ontology, Semantic Web, Knowledge based Reasoning, Meta-heuristics, Problem Solving, Operations Research, Decision Making and reasoning

    Propose and design approach alternatives

    Integrate scientific method into engineering system methodology

    Ensure data knowledge and traceability

    Ensure continuous technowatch and be aware of the latest trends (technical, philosophical, ethical by design)

    Define the system capabilities thanks to a functional, logical and value analysis, describing functions to be performed to meet the real needs of the user in the various scenarii and maximising product value for Customer

    YOUR CAREER AT THALES

    Future opportunities will allow you to discover other domains or sites. You will be able to evolve and grow your competences in different areas:

    Room and attention to personal development

    Build your talents in another domain of Thales Group, discovering new products, new customers, new country or go to a more complex Solution

    Choose between a technical expertise or a leadership path

    Build an international career within a leading Engineering Group

    At Thales Alenia Space we provide CAREERS and not only jobs. With Thales Alenia Space employing around 8,900 employees in 10 countries with 17 sites in Europe and a plant in the US, our mobility policy enables employees each year to develop their careers at home and abroad. Thales Alenia Space sees space as a new horizon, helping to build a better, more sustainable life on Earth #SpaceForLife. Great journeys start here, apply now! +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3866018696,https://it.linkedin.com/jobs/view/construction-data-scientist-at-technip-energies-3866018696?position=13&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=%2FvZHwxgaAPl3gsf1Pzbo0A%3D%3D&trk=public_jobs_jserp-result_search-card,Construction Data Scientist,Technip Energies,"Rome, Latium, Italy","About Us + +JOB DESCRIPTION + +At Technip Energies, we believe in a better tomorrow, and we believe we can make tomorrow better. With approximately 15,000 talented women and men, we are a global and leading engineering and technology company, with a clear vision to accelerate the energy transition. Designing and delivering added value energy solutions is what we do. If you share our determination to drive the transition to a low-carbon future, then this could be the job for you. We are currently seeking a Construction Data Scientist, reporting directly to the Global Construction Data Innovation Manager in Rome to join our Construction Data Science team based in Paris (France) and Rome (Italy). + +About The Job + +The Global Construction Data Innovation (GCDI) is part of Global Construction, within Delivery Excellence division, and aims to develop and improve digital solutions, data science solutions (data analytics and AI), data accessibility and bi reporting for better estimating, preparing & controlling construction activities with the target to optimize construction resources, costs & duration. + +The Construction Data Scientist will be part of the Construction Data Science team. + +He/She will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining and interpreting, and cleaning T.EN data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. + +He/She will support projects all around the globe to use their data as best as possible to create value and improve the management at site. + +He/She will work on data produced from past construction projects for identifying benchmarking and construction patterns to optimize construction execution. + +He/She will produce digital solutions to make construction management taking data driven decisions. + +He/She will be at the interface between site teams, CMC teams, Data Office teams and IDS teams. + +He/She will be part of the CMC team and will strive to continuously improve the performance of construction at site. + +Construction Data Scientist will be performing the following task: + + +Enable smarter business processes by using analytics for meaningful insights to help solve problems across various domains and industries. +Analyze data to identify patterns and trends to deliver recommendations for the future. +Visualization: develop data visualization and storytelling solutions. +Business Understanding: collaborate with businesses to understand their needs and identify use cases to develop. +IT understanding: collaborate with IT and Data Office for understanding the data frame where develop, deploy, and run digital and data science products. +Data Understanding: analyze data for exploring data characteristics and their alignment with business use case. +Data Preparation: interact with Data Engineering to set up the data sources and all steps of dataset preparation. +Modelling & Validation: develop modelling methodology, features engineering, implement model, follow up model training and its validation, and definition of efficient model to deploy. +Monitoring: monitoring and fine tuning of the model developed +Deployment: interact with IT and Data Office for deployment and industrialization of data science and digital solutions developed +Communicate findings to all stakeholders. +Prepare and deliver documentation, training and webinar about data science. +Staying up to date with the latest advancements in AI and scripting language. + + + +We offer you not only a job, but an inspiring journey in a truly global environment where you team up to break down boundaries thanks to the innovation, creativity and pioneer spirit which drive our people. + +About You + +We’d love to hear from you if your profile meets the following essential requirements: + +Qualifications: + + +Master’s degree in Engineering (preference for IT and mechanical engineering), or Computer Science or Mathematical + + + +Languages: English fluent + +Main Skills: + + +Analytical thinking for translating data into descriptive, predictive and prescriptive analytics and products. +Story telling mindset. +Very good communication skills to identify the business requirements and to expose findings to all stakeholders. +Able to interface with IT and Data Office for understanding the data framework of data science projects. +Able to associate more efficient Machine Learning models to a specific business use case. +Able to identify algorithm metrics and monitoring system. +Data science curious, open mind and updated to data science state of art. +Ability to think creatively and strategically with excellent problem-solving skills.. +Able to manage more than one activity at the same time. +Attitude to perform the work in team, in an international and multi-cultural environment. +Ability to fulfil tasks on time with the required Company quality level +Able to work and deliver in an incremental approach +Availability to international mobility either for short- or long-term assignment + + + +Technical Competencies: + + +Knowledge of data mining, mathematics, and statistical analysis +Knowledge of SQL (from a data scientist perspective, not necessarily dev or data engineering) +Knowledge of Scripting Language (e.g., Python, R, Julia) and data science libraries +Knowledge of main Machine Learning models (supervised and unsupervised) +Knowledge of data pipelines, cleansing and data preparation +Knowledge of Statistical computing package (e.g, R) is a plus +Knowledge of NLP, LLM is a plus +Knowledge of Agile, Git, DevOps and MLOps is a plus +Knowledge of BI and visualization tools (e.g, PowerBI) is a plus +Knowledge of Dataiku and Synapse are a plus + + + +Knowledge of Construction work processes is a plus + +Inclusion Standards + +In our continuous journey to developing and building culture of inclusion, we adhere to four Inclusion Gold Standards. And you? + + +We challenge our biases and embrace diversity of thought ; +No one has all the knowledge and solutions, collectively we do ; +We foster a caring environment where people are respected, comfortable to share and be heard ; +We promote active listening for effective decision and action. + + + +What’s Next? + +Starting Date: + +Once receiving your system application, Recruiting Team will screen and match your skills, experience, and potential team fit against the role requirements. We ask for your patience as the team completes the volume of applications with reasonable timeframe. Check your application progress periodically via personal account from created candidate profile during your application. + +Forecast Starting Date: Asap by 2024 + +Position located to: Rome OC, Italy + +We invite you to get to know more about our company by visiting www.technipenergies.com and follow us on LinkedIn , Instagram , Facebook , Twitter , Youtube for company updates. +Show more ","
    + + + + + +
    +
    + About Us

     JOB DESCRIPTION

    At Technip Energies, we believe in a better tomorrow, and we believe we can make tomorrow better. With approximately 15,000 talented women and men, we are a global and leading engineering and technology company, with a clear vision to accelerate the energy transition. Designing and delivering added value energy solutions is what we do. If you share our determination to drive the transition to a low-carbon future, then this could be the job for you. We are currently seeking a Construction Data Scientist, reporting directly to the Global Construction Data Innovation Manager in Rome to join our Construction Data Science team based in Paris (France) and Rome (Italy).

    About The Job

    The Global Construction Data Innovation (GCDI) is part of Global Construction, within Delivery Excellence division, and aims to develop and improve digital solutions, data science solutions (data analytics and AI), data accessibility and bi reporting for better estimating, preparing & controlling construction activities with the target to optimize construction resources, costs & duration.

    The Construction Data Scientist will be part of the Construction Data Science team.

    He/She will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining and interpreting, and cleaning T.EN data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential.

    He/She will support projects all around the globe to use their data as best as possible to create value and improve the management at site.

    He/She will work on data produced from past construction projects for identifying benchmarking and construction patterns to optimize construction execution.

    He/She will produce digital solutions to make construction management taking data driven decisions.

    He/She will be at the interface between site teams, CMC teams, Data Office teams and IDS teams.

    He/She will be part of the CMC team and will strive to continuously improve the performance of construction at site.

    Construction Data Scientist will be performing the following task:

    • Enable smarter business processes by using analytics for meaningful insights to help solve problems across various domains and industries.
    • Analyze data to identify patterns and trends to deliver recommendations for the future.
    • Visualization: develop data visualization and storytelling solutions.
    • Business Understanding: collaborate with businesses to understand their needs and identify use cases to develop.
    • IT understanding: collaborate with IT and Data Office for understanding the data frame where develop, deploy, and run digital and data science products.
    • Data Understanding: analyze data for exploring data characteristics and their alignment with business use case.
    • Data Preparation: interact with Data Engineering to set up the data sources and all steps of dataset preparation.
    • Modelling & Validation: develop modelling methodology, features engineering, implement model, follow up model training and its validation, and definition of efficient model to deploy.
    • Monitoring: monitoring and fine tuning of the model developed
    • Deployment: interact with IT and Data Office for deployment and industrialization of data science and digital solutions developed
    • Communicate findings to all stakeholders.
    • Prepare and deliver documentation, training and webinar about data science.
    • Staying up to date with the latest advancements in AI and scripting language.


    We offer you not only a job, but an inspiring journey in a truly global environment where you team up to break down boundaries thanks to the innovation, creativity and pioneer spirit which drive our people.

    About You

    We’d love to hear from you if your profile meets the following essential requirements:

    Qualifications:

    • Master’s degree in Engineering (preference for IT and mechanical engineering), or Computer Science or Mathematical


    Languages: English fluent

    Main Skills:

    • Analytical thinking for translating data into descriptive, predictive and prescriptive analytics and products.
    • Story telling mindset.
    • Very good communication skills to identify the business requirements and to expose findings to all stakeholders.
    • Able to interface with IT and Data Office for understanding the data framework of data science projects.
    • Able to associate more efficient Machine Learning models to a specific business use case.
    • Able to identify algorithm metrics and monitoring system.
    • Data science curious, open mind and updated to data science state of art.
    • Ability to think creatively and strategically with excellent problem-solving skills..
    • Able to manage more than one activity at the same time.
    • Attitude to perform the work in team, in an international and multi-cultural environment.
    • Ability to fulfil tasks on time with the required Company quality level
    • Able to work and deliver in an incremental approach
    • Availability to international mobility either for short- or long-term assignment


    Technical Competencies:

    • Knowledge of data mining, mathematics, and statistical analysis
    • Knowledge of SQL (from a data scientist perspective, not necessarily dev or data engineering)
    • Knowledge of Scripting Language (e.g., Python, R, Julia) and data science libraries
    • Knowledge of main Machine Learning models (supervised and unsupervised)
    • Knowledge of data pipelines, cleansing and data preparation
    • Knowledge of Statistical computing package (e.g, R) is a plus
    • Knowledge of NLP, LLM is a plus
    • Knowledge of Agile, Git, DevOps and MLOps is a plus
    • Knowledge of BI and visualization tools (e.g, PowerBI) is a plus
    • Knowledge of Dataiku and Synapse are a plus


    Knowledge of Construction work processes is a plus

    Inclusion Standards

    In our continuous journey to developing and building culture of inclusion, we adhere to four Inclusion Gold Standards. And you?

    • We challenge our biases and embrace diversity of thought ;
    • No one has all the knowledge and solutions, collectively we do ;
    • We foster a caring environment where people are respected, comfortable to share and be heard ;
    • We promote active listening for effective decision and action.


    What’s Next?

    Starting Date:

    Once receiving your system application, Recruiting Team will screen and match your skills, experience, and potential team fit against the role requirements. We ask for your patience as the team completes the volume of applications with reasonable timeframe. Check your application progress periodically via personal account from created candidate profile during your application.

    Forecast Starting Date: Asap by 2024

    Position located to: Rome OC, Italy

    We invite you to get to know more about our company by visiting www.technipenergies.com and follow us on LinkedIn , Instagram , Facebook , Twitter , Youtube for company updates. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3922741808,https://it.linkedin.com/jobs/view/data-scientist-senior-at-ntt-data-italia-3922741808?position=14&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=8WkcSVGzphjALJwJfjOVEA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist Senior,NTT DATA Italia,"Rome, Latium, Italy","NTT DATA, Trusted Global Innovator, è tra i principali player a livello mondiale in ambito IT services. Con più di 140.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura. Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine. Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze. + +Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento! + +www.nttdata.com/it + +Responsibilities + +The ideal candidate as Senior Data Scientist in NTT DATA will have a mix of skills including Generative AI hands-on capability (preferably on Azure/GCP and on-premise) engineering best practices, statistical expertise, Machine and Deep Learning skills and a strong business sense. + +The Senior Data Scientist will work with fellow data scientists, data engineers, ML Engineers, product managers, business analysts, and stakeholders from other internal groups and from external clients. + +He/She will be responsible for multiple projects, leading the Data Scientists and connecting with the stakeholders on client?s side, to ensure that tasks are on time and well executed. + +Required Skills + + +Experience of at least 3-5 years as data scientist; +Strong Python (mandatory) and SQL coding; +Knowledge of Java/Scala or C++/R is a plus; +Tensorflow and Pytorch knowledge with a focus over Computer Vision solutions; +Knowledge of ML solutions architecture and Generative AI pipelines; +Cloud and hybrid ML implementations; +Incorporate new, cutting edge business intelligence, machine learning, and alternative data practices into wider organization to drive efficiencies and generate revenue; +Own the full stack execution of data science projects from data wrangling, model development, presentation, measurement to deployment; +Work with data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering and model training/prediction; +Conduct research and analysis into reinsurance and advisory products to augment industry-standard models and develop new market offerings; +Establish and maintain strong relationships with internal team members and external clients + + + +Location: Milano, Bari, Bologna, Cosenza, Napoli, Roma, Salerno, Torino +Show more ","
    + + + + + +
    +
    + NTT DATA, Trusted Global Innovator, è tra i principali player a livello mondiale in ambito IT services. Con più di 140.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura. Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine. Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze.

    Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento!

    www.nttdata.com/it

    Responsibilities

    The ideal candidate as Senior Data Scientist in NTT DATA will have a mix of skills including Generative AI hands-on capability (preferably on Azure/GCP and on-premise) engineering best practices, statistical expertise, Machine and Deep Learning skills and a strong business sense.

    The Senior Data Scientist will work with fellow data scientists, data engineers, ML Engineers, product managers, business analysts, and stakeholders from other internal groups and from external clients.

    He/She will be responsible for multiple projects, leading the Data Scientists and connecting with the stakeholders on client?s side, to ensure that tasks are on time and well executed.

    Required Skills

    • Experience of at least 3-5 years as data scientist;
    • Strong Python (mandatory) and SQL coding;
    • Knowledge of Java/Scala or C++/R is a plus;
    • Tensorflow and Pytorch knowledge with a focus over Computer Vision solutions;
    • Knowledge of ML solutions architecture and Generative AI pipelines;
    • Cloud and hybrid ML implementations;
    • Incorporate new, cutting edge business intelligence, machine learning, and alternative data practices into wider organization to drive efficiencies and generate revenue;
    • Own the full stack execution of data science projects from data wrangling, model development, presentation, measurement to deployment;
    • Work with data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering and model training/prediction;
    • Conduct research and analysis into reinsurance and advisory products to augment industry-standard models and develop new market offerings;
    • Establish and maintain strong relationships with internal team members and external clients


    Location: Milano, Bari, Bologna, Cosenza, Napoli, Roma, Salerno, Torino +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3955914880,https://it.linkedin.com/jobs/view/data-scientist-at-groupama-assicurazioni-3955914880?position=15&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=JaiR08a2M56Qk86gZwfAVg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Groupama Assicurazioni,"Rome, Latium, Italy","TLa risorsa a diretto riporto del Responsabile della funzione Attuariato Danni si occuperà delle seguenti attività: + +modellizzazione dei rischi CAT e più in generale connessi con gli eventi naturali +supporto allo sviluppo tariffario, alle analisi di fabbisogno e di profittabilità dei prodotti Danni (Auto e Non Auto), promuovendo lo sviluppo e la sofisticazione delle tecniche di modellizzazione statistica e predittiva già in uso +ricerca e sviluppo finalizzata alla definizione e successiva implementazione di nuove soluzioni tecniche che favoriscano la redditività del business +supporto alle attività previste in ambito POG e Value for Money per i prodotti Danni, Auto e Non Auto + + + + +Requisiti richiesti: + +Laurea in Matematica, Fisica, Ingegneria o equivalenti +padronanza degli approcci metodologici di tipo “data science” +conoscenza delle teorie dell’inferenza statistica e della statistica multivariata +padronanza dell’applicativo Python +ottima conoscenza di Microsoft Office +buona conoscenza della lingua inglese + + + + +Requisiti preferenziali: + +Specializzazione in ambito modellizzazione dei rischi catastrofali e/o ambito meteorologico +conoscenza applicativi statistici SAS +familiarità con i software di modelizzazione (Emblem/Radar/Classifier) +conoscenza altri applicativi (R/Mathlab etc) +conoscenza della lingua francese + + + + +Si offre: + +inquadramento previsto dal vigente C.C.N.L. delle imprese di assicurazione, condizioni economiche e benefit di sicuro interesse. + + + + +Sede di lavoro: Roma + + + + +L’offerta di lavoro si intende estesa a entrambi i sessi (L.903/77) + +Per Groupama la diversità è un valore e per questo motivo ci impegnano quotidianamente a garantire un ambiente inclusivo. Le candidature sono prese in considerazione garantendo pari opportunità indipendentemente da genere, identità e orientamento di genere, etnia, religione, età, disabilità, nel rispetto di quanto previsto dalla normativa italiana, europea e internazionale. + + + + +Show more ","
    + + + + + +
    +
    +

    TLa risorsa a diretto riporto del Responsabile della funzione Attuariato Danni si occuperà delle seguenti attività:

    • modellizzazione dei rischi CAT e più in generale connessi con gli eventi naturali
    • supporto allo sviluppo tariffario, alle analisi di fabbisogno e di profittabilità dei prodotti Danni (Auto e Non Auto), promuovendo lo sviluppo e la sofisticazione delle tecniche di modellizzazione statistica e predittiva già in uso
    • ricerca e sviluppo finalizzata alla definizione e successiva implementazione di nuove soluzioni tecniche che favoriscano la redditività del business
    • supporto alle attività previste in ambito POG e Value for Money per i prodotti Danni, Auto e Non Auto


    Requisiti richiesti:

    • Laurea in Matematica, Fisica, Ingegneria o equivalenti
    • padronanza degli approcci metodologici di tipo “data science”
    • conoscenza delle teorie dell’inferenza statistica e della statistica multivariata
    • padronanza dell’applicativo Python
    • ottima conoscenza di Microsoft Office
    • buona conoscenza della lingua inglese


    Requisiti preferenziali:

    • Specializzazione in ambito modellizzazione dei rischi catastrofali e/o ambito meteorologico
    • conoscenza applicativi statistici SAS
    • familiarità con i software di modelizzazione (Emblem/Radar/Classifier)
    • conoscenza altri applicativi (R/Mathlab etc)
    • conoscenza della lingua francese


    Si offre:

    inquadramento previsto dal vigente C.C.N.L. delle imprese di assicurazione, condizioni economiche e benefit di sicuro interesse.


    Sede di lavoro: Roma


    L’offerta di lavoro si intende estesa a entrambi i sessi (L.903/77)

    Per Groupama la diversità è un valore e per questo motivo ci impegnano quotidianamente a garantire un ambiente inclusivo. Le candidature sono prese in considerazione garantendo pari opportunità indipendentemente da genere, identità e orientamento di genere, etnia, religione, età, disabilità, nel rispetto di quanto previsto dalla normativa italiana, europea e internazionale.


    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +3986060476,https://it.linkedin.com/jobs/view/fluent-english-junior-python-developer-at-outstaff-your-team-3986060476?position=16&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=og%2Bkv%2BxuhvPONgYL%2BeF0ew%3D%3D&trk=public_jobs_jserp-result_search-card,(Fluent English) Junior Python Developer,Outstaff Your Team,"Rome, Latium, Italy","Our team keeps expanding! We are looking for a fast-learning Junior Python Developer who loves Python and code quality to unlock the raw potential of Big Web Data. + +Product: + +SaaS products to transform the vast pool of web data from the open and dark web into structured web data feeds, ready for machines to consume. + +Progressive team: + +60+ qualified specialists, including developers, analysts, product managers, sales and customer support professionals. Your mentor is a Team Lead with solid experience in this area. + +Together We Will: + + +Develop efficient web scraping scripts for E-Commerce data extraction using Python; +Ensure high-quality data output through the identification and resolution of issues; +Troubleshoot and provide support for client-reported bugs and system problems; +Collaborate with team members, maintaining regular communication and escalating unresolved issues to the appropriate personnel; +Implement testing procedures for Python-based web scraping scripts + + + +Requirements + +What We Will Need: + + +Fluent written and spoken English; +1-2 years of commercial experience with Python coding and scripting; +Experience in code development with JavaScript, HTML & CSS; +Strong web scraping experience; +HTML structure knowledge (how to extract entities); +Hands-on experience with Linux; +Strong familiarity with GitHub; +Experience working with Relational Databases; +Ability to prioritize tasks; +Good documentation skills. + + + +Would Be a Plus: + + +Experience in Web crawling; +Network traffic understanding or experience; +Experience working with Non-relational Databases; +Understanding or experience with data collection, big data; +Experience in the field of E-commerce / News, blogs; +Ability to work for a common result; +Great sense of humor 🙂 + + + +Benefits + +We Offer: + + +Lots of interesting work with a Big Web Data solutions; +Compensation in USD; +International team; +Progressive product company with 7+ years in the IT market; +Schedule: Sunday to Thursday; +Fully remote +Show more ","
    + + + + + +
    +
    + Our team keeps expanding! We are looking for a fast-learning Junior Python Developer who loves Python and code quality to unlock the raw potential of Big Web Data.

    Product:

    SaaS products to transform the vast pool of web data from the open and dark web into structured web data feeds, ready for machines to consume.

    Progressive team:

    60+ qualified specialists, including developers, analysts, product managers, sales and customer support professionals. Your mentor is a Team Lead with solid experience in this area.

    Together We Will:

    • Develop efficient web scraping scripts for E-Commerce data extraction using Python;
    • Ensure high-quality data output through the identification and resolution of issues;
    • Troubleshoot and provide support for client-reported bugs and system problems;
    • Collaborate with team members, maintaining regular communication and escalating unresolved issues to the appropriate personnel;
    • Implement testing procedures for Python-based web scraping scripts


    Requirements

    What We Will Need:

    • Fluent written and spoken English;
    • 1-2 years of commercial experience with Python coding and scripting;
    • Experience in code development with JavaScript, HTML & CSS;
    • Strong web scraping experience;
    • HTML structure knowledge (how to extract entities);
    • Hands-on experience with Linux;
    • Strong familiarity with GitHub;
    • Experience working with Relational Databases;
    • Ability to prioritize tasks;
    • Good documentation skills.


    Would Be a Plus:

    • Experience in Web crawling;
    • Network traffic understanding or experience;
    • Experience working with Non-relational Databases;
    • Understanding or experience with data collection, big data;
    • Experience in the field of E-commerce / News, blogs;
    • Ability to work for a common result;
    • Great sense of humor 🙂


    Benefits

    We Offer:

    • Lots of interesting work with a Big Web Data solutions;
    • Compensation in USD;
    • International team;
    • Progressive product company with 7+ years in the IT market;
    • Schedule: Sunday to Thursday;
    • Fully remote
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-28,[] +4003484528,https://it.linkedin.com/jobs/view/global-oil-gas-senior-data-scientist-at-matchatalent-4003484528?position=17&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=qgrLo%2FAu6hv%2BMeLO%2BctSpw%3D%3D&trk=public_jobs_jserp-result_search-card,(Global Oil Gas) Senior Data Scientist,MatchaTalent,"Rome, Latium, Italy","This role required candidate to permanently relocate at Dhahran, Saudi Arabia. + +About the Company + + + +This company engages in the exploration, production, transportation, and sale of crude oil and natural gas. It operates through the following segments: Upstream, Downstream, and Corporate. The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production. The Downstream segment focuses on refining, logistics, power generation, and the marketing of crude oil, petroleum and petrochemical products, and related services to international and domestic customers. The Corporate segment offers supporting services including human resources, finance, and information technology. The company was founded on May 29, 1933 and is headquartered in Dhahran, Saudi Arabia. + +Job Summary + +We are seeking a Data Scientist to join the Sales & Operations Planning Division's (S&OP) under the Global Optimizer Department. S&OP's primary responsibility is to optimize crude allocation and operations across global manufacturing facilities. This optimization aims to maximize revenue, increase profitability, and capitalize on international market opportunities. + +The division serves as the gatekeeper for linear programming (LP) at wholly owned refineries and oversees the integrated global MPIMS model. This model is crucial for optimizing global crude allocation, exploring new international markets, and integrating operational options. + +As a Data Scientist, your main role will involve analyzing and structuring large volumes of real-time and historical data. You will build algorithms and solutions around this data to facilitate decision-making within the company. Your work will be pivotal in supporting the company's forecasting and predictive digital strategy, contributing to the development of advanced solutions at the Downstream Digital Center. + +Key Responsibilities: + +Formulate and lead multifaceted analytic studies against large volumes of data. +Interpret and analyze data using exploratory mathematical and statistical techniques based on the scientific method. +Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data. +Experiment against data points, provide information based on experiment results, and offer previously undiscovered solutions to complex data challenges. +Lead all data experiments tasked by the Data Science Team. +Coordinate with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. +Develop methodology and processes for prioritization and scheduling of projects. +Analyze problems and determine root causes. +Define company data assets (data models), Spark, SparkSQL, and HiveSQL jobs to populate data models. +Work closely with all business units and engineering teams to develop strategy for long-term data platform architecture. + + + +Requirements: + +Willingness to relocate to Dhahran, Saudi Arabia. +Hold a Bachelor's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. An advanced degree is preferred. +Have 5-7 years of professional experience in a related field. +Proficiency with one or more programming languages (Java, C++, Python, R, etc.). +Demonstrate experience applying data science methods to real-world data problems. +Experience in utilizing visualization tools to leverage the growing volume of available information. +Show more ","
    + + + + + +
    +
    +

    This role required candidate to permanently relocate at Dhahran, Saudi Arabia.

    About the Company



    This company engages in the exploration, production, transportation, and sale of crude oil and natural gas. It operates through the following segments: Upstream, Downstream, and Corporate. The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production. The Downstream segment focuses on refining, logistics, power generation, and the marketing of crude oil, petroleum and petrochemical products, and related services to international and domestic customers. The Corporate segment offers supporting services including human resources, finance, and information technology. The company was founded on May 29, 1933 and is headquartered in Dhahran, Saudi Arabia.

    Job Summary

    We are seeking a Data Scientist to join the Sales & Operations Planning Division's (S&OP) under the Global Optimizer Department. S&OP's primary responsibility is to optimize crude allocation and operations across global manufacturing facilities. This optimization aims to maximize revenue, increase profitability, and capitalize on international market opportunities.

    The division serves as the gatekeeper for linear programming (LP) at wholly owned refineries and oversees the integrated global MPIMS model. This model is crucial for optimizing global crude allocation, exploring new international markets, and integrating operational options.

    As a Data Scientist, your main role will involve analyzing and structuring large volumes of real-time and historical data. You will build algorithms and solutions around this data to facilitate decision-making within the company. Your work will be pivotal in supporting the company's forecasting and predictive digital strategy, contributing to the development of advanced solutions at the Downstream Digital Center.

    Key Responsibilities:

    • Formulate and lead multifaceted analytic studies against large volumes of data.
    • Interpret and analyze data using exploratory mathematical and statistical techniques based on the scientific method.
    • Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
    • Experiment against data points, provide information based on experiment results, and offer previously undiscovered solutions to complex data challenges.
    • Lead all data experiments tasked by the Data Science Team.
    • Coordinate with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.
    • Develop methodology and processes for prioritization and scheduling of projects.
    • Analyze problems and determine root causes.
    • Define company data assets (data models), Spark, SparkSQL, and HiveSQL jobs to populate data models.
    • Work closely with all business units and engineering teams to develop strategy for long-term data platform architecture.

    Requirements:

    • Willingness to relocate to Dhahran, Saudi Arabia.
    • Hold a Bachelor's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. An advanced degree is preferred.
    • Have 5-7 years of professional experience in a related field.
    • Proficiency with one or more programming languages (Java, C++, Python, R, etc.).
    • Demonstrate experience applying data science methods to real-world data problems.
    • Experience in utilizing visualization tools to leverage the growing volume of available information.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-17,[] +3993456065,https://it.linkedin.com/jobs/view/ai-engineer-google-at-bip-3993456065?position=20&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=qUt7aiG8M%2BiC%2B0JzaAovrg%3D%3D&trk=public_jobs_jserp-result_search-card,AI Engineer - Google,BIP,"Rome, Latium, Italy"," + +AI ENGINEER – GOOGLE   + +Quale sarà la tua sfida? + +Il nostro team di Artificial Intelligence Engineering, che lavora verticalmente su piattaforme Google Cloud (GCP), si impegna a supportare i clienti nel percorso di adozione dell’intelligenza artificiale attraverso la realizzazione di factory di soluzioni di AI, azionabili e integrate nell'architettura e nei processi aziendali. + +La figura dell’AI Engineer progetta soluzioni software di Machine Learning (ML) scalabili per i casi d'uso dei clienti e le industrializza per l’esecuzione in produzione garantendo i livelli richiesti di performance, sicurezza e governabilità. + +L’AI Engineer lavora a stretto contatto con altre figure di Bip xTech, come Cloud Data Architects, Data Scientists e Data Engineer, per realizzare soluzioni ML di alta qualità sotto ogni aspetto: disegnando e implementando per il team strumenti di lavoro come le piattaforme di MLOps, fornendo linee guida e best practise sulle architetture dati e di AI, supportando l’implementazione del software e funzionalità di osservabilità dell’AI, e altro ancora. + +Sarai tu a entrare nel nostro team? + + Requisiti fondamentali + + +Laurea specialistica in Ingegneria Informatica, Data Science, Informatica o discipline affini (STEM); +Esperienza nell’utilizzo della piattaforma Google Cloud; +Esperienza nello sviluppo di software in almeno un linguaggio, come per esempio: Python, Scala, Java, e/o simili; +Esperienza nel disegno di soluzioni software e nell’implementazione di strutture dati, algoritmi; +Esperienza nell’utilizzo degli strumenti di Code Repository, come per esempio: GitHub, GitLab, Azure DevOps e/o simili. +Conoscenza dei concetti, algoritmi e metodologie di Machine Learning. +Esperienza con linguaggi SQL per il design, query e gestione dei database; esperienza nell’utilizzo di linguaggi SQL per le attività di ETL. +Indispensabile la conoscenza fluente di Italiano e Inglese professionali. + + +Plus + + +Esperienza nell’utilizzo delle piattaforme cloud (esempio: Google, AWS, Azure); +Conoscenza dei concetti e tecnologie di Big Data e Data Warehousing (esempio: Hadoop, Spark, Hive, Kafka); +Esperienza con framework e metodologie di Deep Learning (esempio: Tensorflow, Torch, Caffe, Theano). + + +  + +Perchè Bip? + +People at the center of our culture + +Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone. + +Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti.  + +Challenge yourself + +Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco. + +Unlocking your potential + +Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti. + +Work-life Integration + +Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration. + +Diversity, Equity & Inclusion + +Valorizziamo l’unicità e ci impegniamo a garantire che tutti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro. + +Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi. + +Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –. + +Next Steps + +Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente. + +Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca. + +L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner. + +L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting. + +In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future. + +Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente. + +Su di Noi + +Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione. + +Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato. + +Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia. + +Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse. + + +Show more ","
    + + + + + +
    +
    +

    AI ENGINEER – GOOGLE  

    Quale sarà la tua sfida?

    Il nostro team di Artificial Intelligence Engineering, che lavora verticalmente su piattaforme Google Cloud (GCP), si impegna a supportare i clienti nel percorso di adozione dell’intelligenza artificiale attraverso la realizzazione di factory di soluzioni di AI, azionabili e integrate nell'architettura e nei processi aziendali.

    La figura dell’AI Engineer progetta soluzioni software di Machine Learning (ML) scalabili per i casi d'uso dei clienti e le industrializza per l’esecuzione in produzione garantendo i livelli richiesti di performance, sicurezza e governabilità.

    L’AI Engineer lavora a stretto contatto con altre figure di Bip xTech, come Cloud Data Architects, Data Scientists e Data Engineer, per realizzare soluzioni ML di alta qualità sotto ogni aspetto: disegnando e implementando per il team strumenti di lavoro come le piattaforme di MLOps, fornendo linee guida e best practise sulle architetture dati e di AI, supportando l’implementazione del software e funzionalità di osservabilità dell’AI, e altro ancora.

    Sarai tu a entrare nel nostro team?

     Requisiti fondamentali
    • Laurea specialistica in Ingegneria Informatica, Data Science, Informatica o discipline affini (STEM);
    • Esperienza nell’utilizzo della piattaforma Google Cloud;
    • Esperienza nello sviluppo di software in almeno un linguaggio, come per esempio: Python, Scala, Java, e/o simili;
    • Esperienza nel disegno di soluzioni software e nell’implementazione di strutture dati, algoritmi;
    • Esperienza nell’utilizzo degli strumenti di Code Repository, come per esempio: GitHub, GitLab, Azure DevOps e/o simili.
    • Conoscenza dei concetti, algoritmi e metodologie di Machine Learning.
    • Esperienza con linguaggi SQL per il design, query e gestione dei database; esperienza nell’utilizzo di linguaggi SQL per le attività di ETL.
    • Indispensabile la conoscenza fluente di Italiano e Inglese professionali.


    Plus
    • Esperienza nell’utilizzo delle piattaforme cloud (esempio: Google, AWS, Azure);
    • Conoscenza dei concetti e tecnologie di Big Data e Data Warehousing (esempio: Hadoop, Spark, Hive, Kafka);
    • Esperienza con framework e metodologie di Deep Learning (esempio: Tensorflow, Torch, Caffe, Theano).


     

    Perchè Bip?

    People at the center of our culture

    Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone.

    Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti. 

    Challenge yourself

    Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco.

    Unlocking your potential

    Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti.

    Work-life Integration

    Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration.

    Diversity, Equity & Inclusion

    Valorizziamo l’unicità e ci impegniamo a garantire che tutti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro.

    Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi.

    Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –.

    Next Steps

    Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente.

    Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca.

    L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner.

    L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting.

    In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future.

    Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente.

    Su di Noi

    Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione.

    Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato.

    Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia.

    Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3993453216,https://it.linkedin.com/jobs/view/data-scientist-generative-ai-specialist-at-bip-3993453216?position=21&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=K6x9rKQCkFzKam%2B6SEFYJA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Generative AI Specialist,BIP,"Rome, Latium, Italy"," + +DATA SCIENTIST – GENERATIVE AI SPECIALIST + +Entra nel nostro mondo. + +Trasforma insieme a noi. + +Quale sarà la tua sfida? + +Bip ha creato all’interno del proprio Competence Centre “xTech” il più nutrito gruppo di Data Scientist in Italia (fonte: statistiche LinkedIn), e dall’Italia coordina anche i propri gruppi di Data Scientist locali presso le proprie sedi estere. + +Nell’ambito della continua crescita ed evoluzione di questo effervescente gruppo, che opera sui nostri clienti in tutti i settori, e ci ha consentito di introdurre l’Intelligenza Artificiale presso le realtà enterprise più importanti d’Italia, siamo alla ricerca sia di profili junior/intermediate (dai neolaureati a profili con almeno 2 anni di esperienza), sia profili middle-senior (dai 3 ai 6 anni di esperienza). La provenienza da società di consulenza direzionale o informatica sarà considerata un forte plus. + +Il/La Generative AI Specialist in Bip evolve non solo le proprie competenze nei modelli di Generative AI, ma anche la comprensione dei fenomeni legati al Business dei nostri Clienti e le proprie capacità di tradurli in soluzioni e poi di comunicare e utilizzare i risultati degli stessi per migliorare ed efficientare i processi. + +I/Le nostri/e Generative AI Specialists verranno introdotti in contesti progettuali dove per la maggior parte i dati sono non strutturati (testi, immagini, video, suoni) e il cui focus diventa la comprensione, il processamento e la generazione partendo da tali basi documentali altrimenti non processabili con le classiche tecniche di Data Science. + +I contesti progettuali spaziano dall’utilizzo di modelli pre-addestrati (es. LLM) fino all’addestramento di nuovi modelli di Generative AI passando dal fine-tuning e absorption learning da modelli commerciali. + +Oltre alle progettualità, ai/alle Generative AI Specialist sarà richiesto un contributo attivo per alimentare la Community con attività di ricerca, scouting, concept di nuove soluzioni e business development. + +Sarai tu ad entrare nel nostro team? + +Requisiti indispensabili: + + +Laurea Specialistica in Ingegneria Informatica, Ingegneria Matematica, Informatica, Statistica o discipline affini (STEM); +Forte approccio quantitativo e brillanti doti analitiche; +Passione e competenza in ambito data exploration, analisi dati e creazione di modelli: il nostro team disegna e sviluppa sistemi a supporto di decisioni strategiche per il business; +Competenze statistiche, di Data Mining, Machine Learning, Deep Learning; +Solida conoscenza e comprovata esperienza in programmazione e scripting Python +Esperienza con strumenti di version control (es. Git); +Conoscenza approfondita di database relazionali e di costrutti SQL e SQL Programming; +Conoscenza di database non relazionali (es. elasticsearch, mongodb, redis); +Conoscenza di database vettoriali (es. ChromaDB, QDrant, Pinecone, ...) +Conoscenza e l’utilizzo di API Cloud di Intelligenza Artificiale di almeno uno tra i principali cloud provider (Google, Microsoft, AWS) +Conoscenza tecniche di processamento dati non strutturati; +Conoscenza approfondita di Natural Language Processing (NLP), Computer Vision e relative tecniche (Text Categorization, Entity Extraction, Generation, Object Detection, Object Segmentation) +Esperienza su Reti Neurali, Convolutional Neural Network, Transformers; +Conoscenza di tecniche di Generative AI e dei principali Large Language Models (LLM) +Esperienza con tecniche di allenamento e fine-tuning di reti neurali (esempio: superconvergenza, PEFT, LORA, …) +Conoscenza delle principali librerie di processamento dati non strutturati (tensorflow, torch, pytorch) e repository di modelli (huggingface) +Conoscenza delle principali tecniche di prompting (es. one/few-shot, chain-of-thought) +Indispensabile la conoscenza fluente di italiano e inglese professionali + + +Plus: + + +Conoscenza di strumenti di containerizzazione (Docker, Kubernetes, etc) +Esperienza nello sviluppo e applicazione di modelli di Generative AI in contesti industriali +Esperienza nello sviluppo software e conoscenza approfondita del ciclo di vita del software +Conoscenza di framework di versionamento di dati e/o modelli (es.,  MLFlow, DVC) +Utilizzo di reti generative per la produzione controllata di contenuto (testo, immagini, video) +Sviluppo di Motori di Ricerca, Entity Extraction, Anomaly Detection su immagini +Conoscenza principali modelli di Explainable AI (SHAP, Lime, Anchors) +Esperienza con framework di lavoro AGILE (esempio: Scrum, Kanban). + + +Soft Skills: + + +Standing consulenziale +Ottime doti relazionali e comunicative +Orientamento al cliente e al raggiungimento degli obiettivi +Buona attitudine a lavorare in team +Precisione e stress tolerance nel rispetto delle scadenze + + +Perchè Bip? + +People at the center of our culture + +Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone. + +Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti.  + +Challenge yourself + +Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco. + +Unlocking your potential + +Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti. + +Work-life Integration + +Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration. + +Diversity, Equity & Inclusion + +Valorizziamo l’unicità e ci impegniamo a garantire che tutti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro. + +Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi. + +Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –. + +Next Steps + +Una volta ricevuto il tuo cv ci prendere +mo del tempo per valutarlo attentamente. + +Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca. + +L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner. + +L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting. + +In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future. + +Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente. + +Su di Noi + +Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione. + +Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato. + +Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia. + +Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse. + + +Show more ","
    + + + + + +
    +
    +

    DATA SCIENTIST – GENERATIVE AI SPECIALIST

    Entra nel nostro mondo.

    Trasforma insieme a noi.

    Quale sarà la tua sfida?

    Bip ha creato all’interno del proprio Competence Centre “xTech” il più nutrito gruppo di Data Scientist in Italia (fonte: statistiche LinkedIn), e dall’Italia coordina anche i propri gruppi di Data Scientist locali presso le proprie sedi estere.

    Nell’ambito della continua crescita ed evoluzione di questo effervescente gruppo, che opera sui nostri clienti in tutti i settori, e ci ha consentito di introdurre l’Intelligenza Artificiale presso le realtà enterprise più importanti d’Italia, siamo alla ricerca sia di profili junior/intermediate (dai neolaureati a profili con almeno 2 anni di esperienza), sia profili middle-senior (dai 3 ai 6 anni di esperienza). La provenienza da società di consulenza direzionale o informatica sarà considerata un forte plus.

    Il/La Generative AI Specialist in Bip evolve non solo le proprie competenze nei modelli di Generative AI, ma anche la comprensione dei fenomeni legati al Business dei nostri Clienti e le proprie capacità di tradurli in soluzioni e poi di comunicare e utilizzare i risultati degli stessi per migliorare ed efficientare i processi.

    I/Le nostri/e Generative AI Specialists verranno introdotti in contesti progettuali dove per la maggior parte i dati sono non strutturati (testi, immagini, video, suoni) e il cui focus diventa la comprensione, il processamento e la generazione partendo da tali basi documentali altrimenti non processabili con le classiche tecniche di Data Science.

    I contesti progettuali spaziano dall’utilizzo di modelli pre-addestrati (es. LLM) fino all’addestramento di nuovi modelli di Generative AI passando dal fine-tuning e absorption learning da modelli commerciali.

    Oltre alle progettualità, ai/alle Generative AI Specialist sarà richiesto un contributo attivo per alimentare la Community con attività di ricerca, scouting, concept di nuove soluzioni e business development.

    Sarai tu ad entrare nel nostro team?

    Requisiti indispensabili:
    • Laurea Specialistica in Ingegneria Informatica, Ingegneria Matematica, Informatica, Statistica o discipline affini (STEM);
    • Forte approccio quantitativo e brillanti doti analitiche;
    • Passione e competenza in ambito data exploration, analisi dati e creazione di modelli: il nostro team disegna e sviluppa sistemi a supporto di decisioni strategiche per il business;
    • Competenze statistiche, di Data Mining, Machine Learning, Deep Learning;
    • Solida conoscenza e comprovata esperienza in programmazione e scripting Python
    • Esperienza con strumenti di version control (es. Git);
    • Conoscenza approfondita di database relazionali e di costrutti SQL e SQL Programming;
    • Conoscenza di database non relazionali (es. elasticsearch, mongodb, redis);
    • Conoscenza di database vettoriali (es. ChromaDB, QDrant, Pinecone, ...)
    • Conoscenza e l’utilizzo di API Cloud di Intelligenza Artificiale di almeno uno tra i principali cloud provider (Google, Microsoft, AWS)
    • Conoscenza tecniche di processamento dati non strutturati;
    • Conoscenza approfondita di Natural Language Processing (NLP), Computer Vision e relative tecniche (Text Categorization, Entity Extraction, Generation, Object Detection, Object Segmentation)
    • Esperienza su Reti Neurali, Convolutional Neural Network, Transformers;
    • Conoscenza di tecniche di Generative AI e dei principali Large Language Models (LLM)
    • Esperienza con tecniche di allenamento e fine-tuning di reti neurali (esempio: superconvergenza, PEFT, LORA, …)
    • Conoscenza delle principali librerie di processamento dati non strutturati (tensorflow, torch, pytorch) e repository di modelli (huggingface)
    • Conoscenza delle principali tecniche di prompting (es. one/few-shot, chain-of-thought)
    • Indispensabile la conoscenza fluente di italiano e inglese professionali


    Plus:
    • Conoscenza di strumenti di containerizzazione (Docker, Kubernetes, etc)
    • Esperienza nello sviluppo e applicazione di modelli di Generative AI in contesti industriali
    • Esperienza nello sviluppo software e conoscenza approfondita del ciclo di vita del software
    • Conoscenza di framework di versionamento di dati e/o modelli (es.,  MLFlow, DVC)
    • Utilizzo di reti generative per la produzione controllata di contenuto (testo, immagini, video)
    • Sviluppo di Motori di Ricerca, Entity Extraction, Anomaly Detection su immagini
    • Conoscenza principali modelli di Explainable AI (SHAP, Lime, Anchors)
    • Esperienza con framework di lavoro AGILE (esempio: Scrum, Kanban).


    Soft Skills:
    • Standing consulenziale
    • Ottime doti relazionali e comunicative
    • Orientamento al cliente e al raggiungimento degli obiettivi
    • Buona attitudine a lavorare in team
    • Precisione e stress tolerance nel rispetto delle scadenze


    Perchè Bip?

    People at the center of our culture

    Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone.

    Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti. 

    Challenge yourself

    Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco.

    Unlocking your potential

    Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti.

    Work-life Integration

    Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration.

    Diversity, Equity & Inclusion

    Valorizziamo l’unicità e ci impegniamo a garantire che tutti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro.

    Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi.

    Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –.

    Next Steps

    Una volta ricevuto il tuo cv ci prendere
    mo del tempo per valutarlo attentamente.

    Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca.

    L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner.

    L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting.

    In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future.

    Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente.

    Su di Noi

    Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione.

    Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato.

    Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia.

    Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3925070882,https://it.linkedin.com/jobs/view/ai-developer-roma-dig-at-pwc-italy-3925070882?position=22&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=5pZIBcGVJClquPnmFbIK%2Fw%3D%3D&trk=public_jobs_jserp-result_search-card,AI Developer - Roma [DIG],PwC Italy,"Rome, Latium, Italy","Trasforma le tue aspirazioni professionali in una storia di successo, entra in PwC come AI Developer. + +Your Perspectives + +Entra a Far Parte Del Nostro Team Digital Innovation - AI Center Of Excellence In Rapida Crescita e Partecipa Allo Sviluppo Di Rivoluzionarie Applicazioni Basate Su Tecnologie Di Intelligenza Artificiale. Avrai L’opportunità Di + + +Sviluppare progetti basati su algoritmi di intelligenza artificiale, sia per ottimizzazioni dei processi interni o per clienti che integrati in innovative soluzioni software; +Contribuire attivamente alla crescita della nostra struttura dedicata all'Intelligenza Artificiale, in particolare al Natural Language Understanding e alla Computer Vision; +Partecipare al ciclo di vita di un prodotto basato su AI, dall’analisi del business case, al tuning dei modelli, allo sviluppo delle componenti applicative richieste dall’applicazione fino alla realizzazione della User Experience ideale; +Muoverti in un contesto organizzato, dove gli aspetti metodologici e di relazione assumono una rilevanza strategica con respiro internazionale e multiculturale; +Operare in un contesto organizzato, dove gli aspetti metodologici e di relazione assumono una rilevanza strategica con respiro internazionale e multiculturale; +Garantire l’erogazione dei deliverables di progetto concordati con il Project Manager di riferimento e con i committenti, in accordo con i vincoli di budget e quality condivisi; +Fornire supporto applicativo a soluzioni basate su moduli di Intelligenza Artificiale, Large Language Models e Computer Vision, sia esistenti che di nuova realizzazione. + + +Your unique strengths + + +Possiedi una laurea in discipline STEM; +Hai esperienza nello sviluppo e addestramento di modelli utilizzando tecniche di Machine Learning, Natural Language Processing e Computer Vision, sia a partire dai framework più utilizzati (TensorFlow, PyTorch, Keras, Spark ML, Spark GraphX) che da servizi SaaS (Google Vertex AI, Azure Cognitive Services, OpenAI); +Hai esperienza nell'utilizzo di Python per lo sviluppo di soluzioni basate su AI e sei interessato a lavorare con Large Language Models come OpenAI e tecniche di Computer Vision come OCR, YoLo, etc.; +Hai basi di Semantic Web e conosci l’architettura dei motori di ricerca evoluti (Elastic Search, Solr, Lucene); +Hai utilizzato strutture dati NoSQL (MongoDB o componenti dell'ecosistema Hadoop); +Conosci approfonditamente linguaggi di programmazione object oriented come Java/Scala, C++ o Python; +Sei capace di mettere in pratica tecniche di ""Continuous Learning"" al fine di cogliere opportunità da nuove tecnologie senza abbandonarti alla sola attività di ricerca; +Possiedi tecniche di ascolto attivo, capacità di sintesi e di problem solving; +Ti contraddistingui per intraprendenza e curiosità, spiccato senso di responsabilità professionale; +Possiedi una conoscenza avanzata della lingua inglese (parlata e scritta). + + +Set your expectation higher + +PwC ti sorprenderà con un’opportunità di carriera che ti farà sentire al centro della società, dell’innovazione e del cambiamento. Il tuo talento e la tua curiosità avranno tutto lo spazio che meritano e, attraverso l’identificazione delle migliori risorse, contribuirai a garantire la qualità dei servizi che offriamo ai nostri clienti. In questo percorso di crescita sarai accompagnato da colleghi esperti e da una formazione continua e su misura grazie alla quale potrai mettere le tue competenze a disposizione dei clienti interni. + +Feel at home + +Ci prendiamo cura delle nostre persone, abbracciando le diversità e creando valore per i clienti, le persone e la comunità, nel rispetto dell'ambiente. GIVE YOUR LIFE A DIFFERENT PERSPECTIVE +Show more ","
    + + + + + +
    +
    + Trasforma le tue aspirazioni professionali in una storia di successo, entra in PwC come AI Developer.

    Your Perspectives

    Entra a Far Parte Del Nostro Team Digital Innovation - AI Center Of Excellence In Rapida Crescita e Partecipa Allo Sviluppo Di Rivoluzionarie Applicazioni Basate Su Tecnologie Di Intelligenza Artificiale. Avrai L’opportunità Di

    • Sviluppare progetti basati su algoritmi di intelligenza artificiale, sia per ottimizzazioni dei processi interni o per clienti che integrati in innovative soluzioni software;
    • Contribuire attivamente alla crescita della nostra struttura dedicata all'Intelligenza Artificiale, in particolare al Natural Language Understanding e alla Computer Vision;
    • Partecipare al ciclo di vita di un prodotto basato su AI, dall’analisi del business case, al tuning dei modelli, allo sviluppo delle componenti applicative richieste dall’applicazione fino alla realizzazione della User Experience ideale;
    • Muoverti in un contesto organizzato, dove gli aspetti metodologici e di relazione assumono una rilevanza strategica con respiro internazionale e multiculturale;
    • Operare in un contesto organizzato, dove gli aspetti metodologici e di relazione assumono una rilevanza strategica con respiro internazionale e multiculturale;
    • Garantire l’erogazione dei deliverables di progetto concordati con il Project Manager di riferimento e con i committenti, in accordo con i vincoli di budget e quality condivisi;
    • Fornire supporto applicativo a soluzioni basate su moduli di Intelligenza Artificiale, Large Language Models e Computer Vision, sia esistenti che di nuova realizzazione.

    Your unique strengths

    • Possiedi una laurea in discipline STEM;
    • Hai esperienza nello sviluppo e addestramento di modelli utilizzando tecniche di Machine Learning, Natural Language Processing e Computer Vision, sia a partire dai framework più utilizzati (TensorFlow, PyTorch, Keras, Spark ML, Spark GraphX) che da servizi SaaS (Google Vertex AI, Azure Cognitive Services, OpenAI);
    • Hai esperienza nell'utilizzo di Python per lo sviluppo di soluzioni basate su AI e sei interessato a lavorare con Large Language Models come OpenAI e tecniche di Computer Vision come OCR, YoLo, etc.;
    • Hai basi di Semantic Web e conosci l’architettura dei motori di ricerca evoluti (Elastic Search, Solr, Lucene);
    • Hai utilizzato strutture dati NoSQL (MongoDB o componenti dell'ecosistema Hadoop);
    • Conosci approfonditamente linguaggi di programmazione object oriented come Java/Scala, C++ o Python;
    • Sei capace di mettere in pratica tecniche di ""Continuous Learning"" al fine di cogliere opportunità da nuove tecnologie senza abbandonarti alla sola attività di ricerca;
    • Possiedi tecniche di ascolto attivo, capacità di sintesi e di problem solving;
    • Ti contraddistingui per intraprendenza e curiosità, spiccato senso di responsabilità professionale;
    • Possiedi una conoscenza avanzata della lingua inglese (parlata e scritta).

    Set your expectation higher

    PwC ti sorprenderà con un’opportunità di carriera che ti farà sentire al centro della società, dell’innovazione e del cambiamento. Il tuo talento e la tua curiosità avranno tutto lo spazio che meritano e, attraverso l’identificazione delle migliori risorse, contribuirai a garantire la qualità dei servizi che offriamo ai nostri clienti. In questo percorso di crescita sarai accompagnato da colleghi esperti e da una formazione continua e su misura grazie alla quale potrai mettere le tue competenze a disposizione dei clienti interni.

    Feel at home

    Ci prendiamo cura delle nostre persone, abbracciando le diversità e creando valore per i clienti, le persone e la comunità, nel rispetto dell'ambiente. GIVE YOUR LIFE A DIFFERENT PERSPECTIVE +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +3908297556,https://it.linkedin.com/jobs/view/data-scientist-professional-at-igt-3908297556?position=23&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=zpe2P3MRX9HwINS%2BspnNCg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist Professional,IGT,"Rome, Latium, Italy","IGT (NYSE:IGT) is a global leader in gaming. We deliver entertaining and responsible gaming experiences for players across all channels and regulated segments, from Lotteries and Gaming Machines to Sports Betting and Digital. Leveraging a wealth of compelling content, substantial investment in innovation, player insights, operational expertise, and leading-edge technology, our solutions deliver unrivaled gaming experiences that engage players and drive growth. We have a well-established local presence and relationships with governments and regulators in more than 100 countries around the world, and create value by adhering to the highest standards of service, integrity, and responsibility. IGT has approximately 10,500 employees. For more information, please visit www.igt.com . + +Ruolo + +Job Title: Data Scientist Professional + +Location: Roma + +Smartworking: possibile per questa posizione + +Il nostro team è alla ricerca di una risorsa da assumere con il ruolo di Professional nell’area di Trade&Consumer Analysis & Planning, che supporterà il team nella progettazione, gestione e automazione di soluzioni analitiche di diversa complessità per l’estrazione di insight data-driven utili al business. + +Attività Principali + + +Disegno, coordinamento e gestione di progetti e processi che portino all’accrescimento delle possibilità analitiche a disposizione del team, tramite lo sviluppo di soluzioni allo stato dell’arte sul piano analitico e coerenti con i need aziendali. Per fare questo, la risorsa dovrà interfacciarsi con varie funzioni dell’azienda, a partire da IT e dalle business unit di prodotto +Analisi, estrazione di business insight, evidenziazione della loro azionabilità + + +Requisiti + + +Capacità di interfacciarsi e collaborare con altre aree aziendali, a partire da IT, per tradurre le esigenze di business in requisiti utente e assicurarsi che le soluzioni analitiche e tecnologiche adottate siano compatibili con gli obiettivi aziendali +Consolidata esperienza nel disegno, la gestione e il coordinamento di progetti e processi complessi con numerosi stakeholder +Conoscenza dei principi fondamentali dei database relazionali e conoscenza di piattaforme di data management e delle tecniche di Machine Learning +Capacità di elaborazione di basi dati complesse per l’estrazione e l’analisi quantitativa di grandi moli di dati al fine di produrre insight di supporto al business; capacità analitiche di sintesi e rappresentazione dei dati +Eccellente padronanza del pacchetto Office, in particolare conoscenza Excel a livello avanzato e Power Point +Buona capacità di utilizzo professionale della lingua inglese +Costituiranno titolo preferenziale: conoscenza del dominio Lotterie / Gaming; esperienza di people management; familiarità con SAS Enterprise Guide. + + +Esperienza Professionale/Seniority + +La risorsa deve avere maturato almeno 3 anni di esperienza in un ruolo similare. + +Titolo Di Studio + +Laurea specialistica (o vecchio ordinamento) in Statistica, Matematica, Economia, Ingegneria, Informatica + +IGT is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve, and to creating a fair and inclusive culture that enables all our employees to feel valued, respected and engaged. IGT is an equal opportunity employer. We provide equal opportunities without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, pregnancy, marital status, national origin, citizenship, covered veteran status, ancestry, age, physical or mental disability, medical condition, genetic information, or any other legally protected status in accordance with applicable local, state, federal laws or other laws. We thank all applicants for applying; however, only those selected to interview will be contacted. + +IGT (NYSE: IGT) is the global leader in gaming. For more information, please visit www.igt.com . + + +Show more ","
    + + + + + +
    +
    + IGT (NYSE:IGT) is a global leader in gaming. We deliver entertaining and responsible gaming experiences for players across all channels and regulated segments, from Lotteries and Gaming Machines to Sports Betting and Digital. Leveraging a wealth of compelling content, substantial investment in innovation, player insights, operational expertise, and leading-edge technology, our solutions deliver unrivaled gaming experiences that engage players and drive growth. We have a well-established local presence and relationships with governments and regulators in more than 100 countries around the world, and create value by adhering to the highest standards of service, integrity, and responsibility. IGT has approximately 10,500 employees. For more information, please visit www.igt.com .

    Ruolo

    Job Title: Data Scientist Professional

    Location: Roma

    Smartworking: possibile per questa posizione

    Il nostro team è alla ricerca di una risorsa da assumere con il ruolo di Professional nell’area di Trade&Consumer Analysis & Planning, che supporterà il team nella progettazione, gestione e automazione di soluzioni analitiche di diversa complessità per l’estrazione di insight data-driven utili al business.

    Attività Principali

    • Disegno, coordinamento e gestione di progetti e processi che portino all’accrescimento delle possibilità analitiche a disposizione del team, tramite lo sviluppo di soluzioni allo stato dell’arte sul piano analitico e coerenti con i need aziendali. Per fare questo, la risorsa dovrà interfacciarsi con varie funzioni dell’azienda, a partire da IT e dalle business unit di prodotto
    • Analisi, estrazione di business insight, evidenziazione della loro azionabilità

    Requisiti

    • Capacità di interfacciarsi e collaborare con altre aree aziendali, a partire da IT, per tradurre le esigenze di business in requisiti utente e assicurarsi che le soluzioni analitiche e tecnologiche adottate siano compatibili con gli obiettivi aziendali
    • Consolidata esperienza nel disegno, la gestione e il coordinamento di progetti e processi complessi con numerosi stakeholder
    • Conoscenza dei principi fondamentali dei database relazionali e conoscenza di piattaforme di data management e delle tecniche di Machine Learning
    • Capacità di elaborazione di basi dati complesse per l’estrazione e l’analisi quantitativa di grandi moli di dati al fine di produrre insight di supporto al business; capacità analitiche di sintesi e rappresentazione dei dati
    • Eccellente padronanza del pacchetto Office, in particolare conoscenza Excel a livello avanzato e Power Point
    • Buona capacità di utilizzo professionale della lingua inglese
    • Costituiranno titolo preferenziale: conoscenza del dominio Lotterie / Gaming; esperienza di people management; familiarità con SAS Enterprise Guide.

    Esperienza Professionale/Seniority

    La risorsa deve avere maturato almeno 3 anni di esperienza in un ruolo similare.

    Titolo Di Studio

    Laurea specialistica (o vecchio ordinamento) in Statistica, Matematica, Economia, Ingegneria, Informatica

    IGT is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve, and to creating a fair and inclusive culture that enables all our employees to feel valued, respected and engaged. IGT is an equal opportunity employer. We provide equal opportunities without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, pregnancy, marital status, national origin, citizenship, covered veteran status, ancestry, age, physical or mental disability, medical condition, genetic information, or any other legally protected status in accordance with applicable local, state, federal laws or other laws. We thank all applicants for applying; however, only those selected to interview will be contacted.

    IGT (NYSE: IGT) is the global leader in gaming. For more information, please visit www.igt.com .

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-13,[] +3984114152,https://it.linkedin.com/jobs/view/software-engineer-for-ai-training-data-python-at-g2i-inc-3984114152?position=24&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=kvlkYOaDyJ60lge1P1lvwQ%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer for AI Training Data (Python),G2i Inc.,"Rome, Latium, Italy","Accepted Locations + +We are accepting applicants from the US, Canada, and most countries in LATAM and Europe. We are accepting some countries in Africa and Asia. For the full list of accepted locations, click here. This work is 100% remote. + +Loom Video + +Our Founder/CEO, Gabe Greenberg, created a more in depth Loom video that we highly recommend you watch! Check it out here: https://www.loom.com/share/5a8972c7fbbf46aaa3f389b2b6391c40 + +Job Overview + +We are currently seeking Developers for project-specific roles focused on RLHF. This role will play a key part in our reinforcement learning from human feedback (RLHF) initiatives, contributing to cutting-edge projects. + +You’ll join an expert annotation team to create training data for for the worlds most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the biggest players in the AI/LLM space today. We are seeking software engineers with 4+ years of experience to train AI large language models, helping cutting-edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! + +What Will I Be Doing? + + +Evaluating the quality of AI-generated code, including human-readable summaries of your rationale +Solve coding problems, writing functional and efficient code +Writing robust test cases to confirm code works efficiently and effectively +We asked the technical project manager to go into even more detail and this is how he answered: It is solving coding challenges, creating instructions to help others, reviewing the code before it goes into the model, and there's a ton of variety in the projects. We have everything from ""which piece of Python code is better?"" to ""make a full mobile application using this chatbot, and improve the chatbot's responses afterwards to make it faster"" + + +Contract Length + + +This project is expected to last until the end of September and you'll be able to continue to work on other projects (though likely not in Swift). +You can end the contract at any time. + + +Flexible Schedules + + +Developers can set their own hours - ideal candidates will be interested in spending 15+ hours a week. They will be with teams, so strong performers will adapt to the urgency of projects and stay engaged, but incredibly flexible on working hours. +Take a 3 hour lunch, no problem. You are paid according to time spent on the platform, which is calculated in the coding exercises, as opposed to tracking your own hours. + + +Compensation + + +US: $50 /hr +Brazil: $28.70/hr +Egypt: $22.05/hr +Phillipines: $25.55/hr +All other countries: $35/hr +Expectations are 15+ hours per week however there is no upper limit. We have engineers working 20-40 hrs per week and some that are working 40+ hours per week. You can work as much as you want to. You'll get paid on a weekly basis. You get paid per hour of work done on the platform. + + +Interview Process + +We've created a 3.5 hour screening and onboarding process to join as a Software Engineer for AI Training Data which can be accomplished in 1 week or less. We purposely perform most of these steps asynchronously because most of the RLHF work is async and self guided. After you apply, if you look like a good fit we'll provide you access to the G2i dashboard to go through this simple screening process. + +Step 1: Learn in depth about the role (35 min) + +Step 2: Perform a simple RLHF code review (35 min) + +Step 3: Receive platform credentials, pass ID verification (5 min), and choose your project (30 min). + +Step 4: Perform a production level RLHF task (75 min) ""aka the final interview"" + +Join us: Based on your final interview, you'll will put you on the right difficulty RLHF project + + +Show more ","
    + + + + + +
    +
    + Accepted Locations

    We are accepting applicants from the US, Canada, and most countries in LATAM and Europe. We are accepting some countries in Africa and Asia. For the full list of accepted locations, click here. This work is 100% remote.

    Loom Video

    Our Founder/CEO, Gabe Greenberg, created a more in depth Loom video that we highly recommend you watch! Check it out here: https://www.loom.com/share/5a8972c7fbbf46aaa3f389b2b6391c40

    Job Overview

    We are currently seeking Developers for project-specific roles focused on RLHF. This role will play a key part in our reinforcement learning from human feedback (RLHF) initiatives, contributing to cutting-edge projects.

    You’ll join an expert annotation team to create training data for for the worlds most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the biggest players in the AI/LLM space today. We are seeking software engineers with 4+ years of experience to train AI large language models, helping cutting-edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open!

    What Will I Be Doing?

    • Evaluating the quality of AI-generated code, including human-readable summaries of your rationale
    • Solve coding problems, writing functional and efficient code
    • Writing robust test cases to confirm code works efficiently and effectively
    • We asked the technical project manager to go into even more detail and this is how he answered: It is solving coding challenges, creating instructions to help others, reviewing the code before it goes into the model, and there's a ton of variety in the projects. We have everything from ""which piece of Python code is better?"" to ""make a full mobile application using this chatbot, and improve the chatbot's responses afterwards to make it faster""

    Contract Length

    • This project is expected to last until the end of September and you'll be able to continue to work on other projects (though likely not in Swift).
    • You can end the contract at any time.

    Flexible Schedules

    • Developers can set their own hours - ideal candidates will be interested in spending 15+ hours a week. They will be with teams, so strong performers will adapt to the urgency of projects and stay engaged, but incredibly flexible on working hours.
    • Take a 3 hour lunch, no problem. You are paid according to time spent on the platform, which is calculated in the coding exercises, as opposed to tracking your own hours.

    Compensation

    • US: $50 /hr
    • Brazil: $28.70/hr
    • Egypt: $22.05/hr
    • Phillipines: $25.55/hr
    • All other countries: $35/hr
    • Expectations are 15+ hours per week however there is no upper limit. We have engineers working 20-40 hrs per week and some that are working 40+ hours per week. You can work as much as you want to. You'll get paid on a weekly basis. You get paid per hour of work done on the platform.

    Interview Process

    We've created a 3.5 hour screening and onboarding process to join as a Software Engineer for AI Training Data which can be accomplished in 1 week or less. We purposely perform most of these steps asynchronously because most of the RLHF work is async and self guided. After you apply, if you look like a good fit we'll provide you access to the G2i dashboard to go through this simple screening process.

    Step 1: Learn in depth about the role (35 min)

    Step 2: Perform a simple RLHF code review (35 min)

    Step 3: Receive platform credentials, pass ID verification (5 min), and choose your project (30 min).

    Step 4: Perform a production level RLHF task (75 min) ""aka the final interview""

    Join us: Based on your final interview, you'll will put you on the right difficulty RLHF project

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-24,[] +3967650992,https://it.linkedin.com/jobs/view/experienced-%E2%80%93-data-scientist-ai-%E2%80%93-roma-milano-%E2%80%93-risk-advisory-at-deloitte-3967650992?position=27&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=39wWKEv0EtuIpxpSOCHbbg%3D%3D&trk=public_jobs_jserp-result_search-card,Experienced – Data Scientist AI – Roma/Milano – Risk Advisory,Deloitte,"Rome, Latium, Italy","Stiamo cercando una figura Consultant/Senior Consultant da inserire nel team Digital Controls CPP di Deloitte Risk Advisory per le sedi di Roma e Milano che lavorerà in modalità Hybrid. + +Il business Digital Controls CPP si occupa di fornire servizi di Digital Transformation, che hanno l’obiettivo di supportare la digitalizzazione dei processi interni di business, mettendo in atto attività che prevedono l’utilizzo di strumenti di Data Analytics, Machine Learning, IoT e AI sfruttando i principali servizi messi a disposizione dai più importanti player del settore Cloud. + +Your Role + +La risorsa Experienced verrà inserita in un team di lavoro e si occuperà di: + + +Supervisionare, coordinare e gestire, come Team Leader, un team di sviluppo o consulenti junior; +Progettare ed analizzare soluzioni IT complesse sia di tipo applicativo che di integrazione; +Gestire autonomamente troubleshooting articolati e sotto pressione; +Lavorare in team numerosi dislocati anche su scala internazionale. + + +Winning Requirements + + +Laurea in materie STEM; +Esperienza nella gestione end-to-end di progetti di Data Science: disegno, sviluppo e test di soluzioni AI +Ottima conoscenza di Python e delle librerie per manipolazione dati e sviluppo modelli (Pandas, TensorFlow, Scikit-learn, PyTorch, ecc.); +Esperienza con tecnologie di Generative AI e modelli LLM; +Esperienza con strumenti di containerizzazione (e.g. docker) +Conoscenza di strumenti e linguaggi per la manipolazione dei dati: SQL, MongoDB, Neo4j, Spark, ecc. +Ottima conoscenza della lingua inglese; +Flessibilità, disponibilità a viaggiare. + + +Make An Impact That Matters + +Deloitte è un network leader nei servizi professionali alle imprese, presente in oltre 150 Paesi con 457 mila professionisti. Offriamo soluzioni innovative e sostenibili in Audit & Assurance, Consulting, Financial Advisory, Risk Advisory, Tax e Legal. Il nostro obiettivo è supportare le aziende nello sviluppo e nell'implementazione di strategie al passo con il mercato. + +In Deloitte la sostenibilità è un tema centrale. Per questo, attraverso le strategie e le progettualità legate alle tematiche Environmental, Social e Governance (ESG), ci impegniamo a promuovere una crescita responsabile, sostenibile e inclusiva per il Pianeta, le nostre persone e la società. Scopri di più sulle nostre strategie di Corporate Sustainability, tra cui Well-being, la strategia volta a migliorare il benessere fisico, mentale e sociale delle nostre persone, affinché siano felici e piene di energia in tutti gli ambiti della loro vita e WorldClimate, la strategia globale di Deloitte per diventare un’organizzazione Net Zero e per guidare scelte responsabili all’interno e all’esterno dell’organizzazione. + +Sei pront* a #MakeAnImpactThatMatter insieme? Candidati ora! + +Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del dlgs. 196/2003. La ricerca rispetta il d.lgs. 198/2006, il D.lgs. 215/03 e il D.lgs. 216/03 ed è aperta a candidat* di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. +Show more ","
    + + + + + +
    +
    + Stiamo cercando una figura Consultant/Senior Consultant da inserire nel team Digital Controls CPP di Deloitte Risk Advisory per le sedi di Roma e Milano che lavorerà in modalità Hybrid.

    Il business Digital Controls CPP si occupa di fornire servizi di Digital Transformation, che hanno l’obiettivo di supportare la digitalizzazione dei processi interni di business, mettendo in atto attività che prevedono l’utilizzo di strumenti di Data Analytics, Machine Learning, IoT e AI sfruttando i principali servizi messi a disposizione dai più importanti player del settore Cloud.

    Your Role

    La risorsa Experienced verrà inserita in un team di lavoro e si occuperà di:

    • Supervisionare, coordinare e gestire, come Team Leader, un team di sviluppo o consulenti junior;
    • Progettare ed analizzare soluzioni IT complesse sia di tipo applicativo che di integrazione;
    • Gestire autonomamente troubleshooting articolati e sotto pressione;
    • Lavorare in team numerosi dislocati anche su scala internazionale.

    Winning Requirements

    • Laurea in materie STEM;
    • Esperienza nella gestione end-to-end di progetti di Data Science: disegno, sviluppo e test di soluzioni AI
    • Ottima conoscenza di Python e delle librerie per manipolazione dati e sviluppo modelli (Pandas, TensorFlow, Scikit-learn, PyTorch, ecc.);
    • Esperienza con tecnologie di Generative AI e modelli LLM;
    • Esperienza con strumenti di containerizzazione (e.g. docker)
    • Conoscenza di strumenti e linguaggi per la manipolazione dei dati: SQL, MongoDB, Neo4j, Spark, ecc.
    • Ottima conoscenza della lingua inglese;
    • Flessibilità, disponibilità a viaggiare.

    Make An Impact That Matters

    Deloitte è un network leader nei servizi professionali alle imprese, presente in oltre 150 Paesi con 457 mila professionisti. Offriamo soluzioni innovative e sostenibili in Audit & Assurance, Consulting, Financial Advisory, Risk Advisory, Tax e Legal. Il nostro obiettivo è supportare le aziende nello sviluppo e nell'implementazione di strategie al passo con il mercato.

    In Deloitte la sostenibilità è un tema centrale. Per questo, attraverso le strategie e le progettualità legate alle tematiche Environmental, Social e Governance (ESG), ci impegniamo a promuovere una crescita responsabile, sostenibile e inclusiva per il Pianeta, le nostre persone e la società. Scopri di più sulle nostre strategie di Corporate Sustainability, tra cui Well-being, la strategia volta a migliorare il benessere fisico, mentale e sociale delle nostre persone, affinché siano felici e piene di energia in tutti gli ambiti della loro vita e WorldClimate, la strategia globale di Deloitte per diventare un’organizzazione Net Zero e per guidare scelte responsabili all’interno e all’esterno dell’organizzazione.

    Sei pront* a #MakeAnImpactThatMatter insieme? Candidati ora!

    Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del dlgs. 196/2003. La ricerca rispetta il d.lgs. 198/2006, il D.lgs. 215/03 e il D.lgs. 216/03 ed è aperta a candidat* di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3957693353,https://it.linkedin.com/jobs/view/data-scientist-professional-at-igt-3957693353?position=28&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=2rM87nvAOoN9TeZkHaNgpg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist Professional,IGT,"Rome, Latium, Italy","IGT (NYSE:IGT) is a global leader in gaming. We deliver entertaining and responsible gaming experiences for players across all channels and regulated segments, from Lotteries and Gaming Machines to Sports Betting and Digital. Leveraging a wealth of compelling content, substantial investment in innovation, player insights, operational expertise, and leading-edge technology, our solutions deliver unrivaled gaming experiences that engage players and drive growth. We have a well-established local presence and relationships with governments and regulators in more than 100 countries around the world, and create value by adhering to the highest standards of service, integrity, and responsibility. IGT has approximately 10,500 employees. For more information, please visit www.igt.com . + +Ruolo + +Job Title: Data Scientist Professional + +Location: Roma + +Smartworking: Possibile per questa posizione + +Attività Previste + + +Proporre soluzioni innovative in ambito analytics & AI +Progettazione e creazione di algoritmi avanzati di Machine Learning e Deep Learning, in particolare in cloud (Snowflake e Azure Machine Learning) +Progettare e implementare data pipelines per integrare dati eterogenei in un’unica piattaforma +Gestione ed analisi di grandi set di dati per l’analisi e l’addestramento dei modelli di Intelligenza Artificiale +Definire e implementare dashboard, report e query per rendere i dati accessibili ai fruitori della piattaforma +Manutenere la piattaforma e risolvere le eventuali criticità, in particolare gli algoritmi esistenti in produzione +Sviluppare rispetto alle linee guida e best practice +Collaborare con i gruppi di sviluppo per garantire l'integrazione con altri sistemi aziendali +Mantenere gli standard per la governance e la sicurezza dei dati +Formare e supportare gli utenti interni all’utilizzo della piattaforma + + +Requisiti + + +Buona conoscenza delle architetture e tecnologie moderne in ambito dati e AI, Advanced Analytics e Machine Learning +Conoscenza di integrazioni di tecnologie e prodotti SW per use case di Analytics di diversa natura (Descriptive Analysis; Streaming Analytics; Advanced Analytics o Machine Learning; Generative AI) +Conoscenza nella progettazione, sviluppo e delivery di progetti in ambito Cloud Azure (Google, AWS etc), Snowflake e Databricks etc. +Esperienza in sviluppo di web services e applicazioni containerizzate +Esperienza nella modellazione ed integrazione di dati +Capacità di progettare, implementare e rilasciare modelli di Machine Learning e Deep Learning +Conoscenza delle Neural Networks e dei loro campi di applicazione +Conoscenza dei Large Language Models e delle tecnologie di Generative AI +Ottima conoscenza di database relazionali, SQL e di una o più tecnologie cloud come Snowflake, Databricks, etc… +Ottima conoscenza di almeno un linguaggio di programmazione Python e R +Conoscenza di almeno una delle tecnologie Hadoop, Spark, Hive, Impala, Elasticsearch +Conoscenza di framework come TensorFlow, PyTorch, Keras +Preferibile la conoscenza di Git Flow +Esperienza di gestione autonoma di applicativi / stream progettuali +Esperienza nell’intero ciclo vita del software (plan, design, develop, test, deploy e UAT) di Big Data Platform preferibilmente in contesti DevOps +Preferibile esperienza in rendere i dati accessibili alle funzioni aziendali attraverso dashboard, report, query e altri strumenti di analisi + + +Esperienza Professionale/Seniority + + +La risorsa ideale ha almeno esperienza di 3 anni in progetti e contesti in linea con le attività previste. + + +Titolo di Studi + +Preferibile laurea in materie scientifiche: Statistica, Matematica, Fisica, Informatica ed Ingegneria Informatica + +Soft Skills + + +Appassionato e curioso di tecnologie e innovazione +Predisposizione al problem solving +Forti capacità analitiche +Proattività e versatilità +Responsabilità +Conoscenza dei processi aziendali +Ottima conoscenza della lingua inglese +Ottime capacità di collaborazione tra gruppi + + +IGT is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve, and to creating a fair and inclusive culture that enables all our employees to feel valued, respected and engaged. IGT is an equal opportunity employer. We provide equal opportunities without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, pregnancy, marital status, national origin, citizenship, covered veteran status, ancestry, age, physical or mental disability, medical condition, genetic information, or any other legally protected status in accordance with applicable local, state, federal laws or other laws. We thank all applicants for applying; however, only those selected to interview will be contacted. + +IGT (NYSE: IGT) is the global leader in gaming. For more information, please visit www.igt.com . +Show more ","
    + + + + + +
    +
    + IGT (NYSE:IGT) is a global leader in gaming. We deliver entertaining and responsible gaming experiences for players across all channels and regulated segments, from Lotteries and Gaming Machines to Sports Betting and Digital. Leveraging a wealth of compelling content, substantial investment in innovation, player insights, operational expertise, and leading-edge technology, our solutions deliver unrivaled gaming experiences that engage players and drive growth. We have a well-established local presence and relationships with governments and regulators in more than 100 countries around the world, and create value by adhering to the highest standards of service, integrity, and responsibility. IGT has approximately 10,500 employees. For more information, please visit www.igt.com .

    Ruolo

    Job Title: Data Scientist Professional

    Location: Roma

    Smartworking: Possibile per questa posizione

    Attività Previste

    • Proporre soluzioni innovative in ambito analytics & AI
    • Progettazione e creazione di algoritmi avanzati di Machine Learning e Deep Learning, in particolare in cloud (Snowflake e Azure Machine Learning)
    • Progettare e implementare data pipelines per integrare dati eterogenei in un’unica piattaforma
    • Gestione ed analisi di grandi set di dati per l’analisi e l’addestramento dei modelli di Intelligenza Artificiale
    • Definire e implementare dashboard, report e query per rendere i dati accessibili ai fruitori della piattaforma
    • Manutenere la piattaforma e risolvere le eventuali criticità, in particolare gli algoritmi esistenti in produzione
    • Sviluppare rispetto alle linee guida e best practice
    • Collaborare con i gruppi di sviluppo per garantire l'integrazione con altri sistemi aziendali
    • Mantenere gli standard per la governance e la sicurezza dei dati
    • Formare e supportare gli utenti interni all’utilizzo della piattaforma

    Requisiti

    • Buona conoscenza delle architetture e tecnologie moderne in ambito dati e AI, Advanced Analytics e Machine Learning
    • Conoscenza di integrazioni di tecnologie e prodotti SW per use case di Analytics di diversa natura (Descriptive Analysis; Streaming Analytics; Advanced Analytics o Machine Learning; Generative AI)
    • Conoscenza nella progettazione, sviluppo e delivery di progetti in ambito Cloud Azure (Google, AWS etc), Snowflake e Databricks etc.
    • Esperienza in sviluppo di web services e applicazioni containerizzate
    • Esperienza nella modellazione ed integrazione di dati
    • Capacità di progettare, implementare e rilasciare modelli di Machine Learning e Deep Learning
    • Conoscenza delle Neural Networks e dei loro campi di applicazione
    • Conoscenza dei Large Language Models e delle tecnologie di Generative AI
    • Ottima conoscenza di database relazionali, SQL e di una o più tecnologie cloud come Snowflake, Databricks, etc…
    • Ottima conoscenza di almeno un linguaggio di programmazione Python e R
    • Conoscenza di almeno una delle tecnologie Hadoop, Spark, Hive, Impala, Elasticsearch
    • Conoscenza di framework come TensorFlow, PyTorch, Keras
    • Preferibile la conoscenza di Git Flow
    • Esperienza di gestione autonoma di applicativi / stream progettuali
    • Esperienza nell’intero ciclo vita del software (plan, design, develop, test, deploy e UAT) di Big Data Platform preferibilmente in contesti DevOps
    • Preferibile esperienza in rendere i dati accessibili alle funzioni aziendali attraverso dashboard, report, query e altri strumenti di analisi

    Esperienza Professionale/Seniority

    • La risorsa ideale ha almeno esperienza di 3 anni in progetti e contesti in linea con le attività previste.

    Titolo di Studi

    Preferibile laurea in materie scientifiche: Statistica, Matematica, Fisica, Informatica ed Ingegneria Informatica

    Soft Skills

    • Appassionato e curioso di tecnologie e innovazione
    • Predisposizione al problem solving
    • Forti capacità analitiche
    • Proattività e versatilità
    • Responsabilità
    • Conoscenza dei processi aziendali
    • Ottima conoscenza della lingua inglese
    • Ottime capacità di collaborazione tra gruppi

    IGT is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve, and to creating a fair and inclusive culture that enables all our employees to feel valued, respected and engaged. IGT is an equal opportunity employer. We provide equal opportunities without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, pregnancy, marital status, national origin, citizenship, covered veteran status, ancestry, age, physical or mental disability, medical condition, genetic information, or any other legally protected status in accordance with applicable local, state, federal laws or other laws. We thank all applicants for applying; however, only those selected to interview will be contacted.

    IGT (NYSE: IGT) is the global leader in gaming. For more information, please visit www.igt.com . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3972311913,https://it.linkedin.com/jobs/view/graph-data-scientist-rif-2024-05-at-aizoon-technology-consulting-3972311913?position=29&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=37ERrzpRnYnwNNUipOBwrg%3D%3D&trk=public_jobs_jserp-result_search-card,Graph Data Scientist (Rif. 2024-05),aizoOn Technology Consulting,"Rome, Latium, Italy","Join our Cybersecurity Team as a Graph Data Scientist! + + + + +At aizoOn, we have been pioneering cybersecurity solutions since 2007 and developing cutting-edge technology since 2012. Our flagship product, introduced in 2013, was among the first in the world to apply machine learning techniques to network traffic analysis, detecting behavioral anomalies and advanced attacks. + + + + +Our mission: Revolutionizing Cybersecurity + +We are on a mission to transform cybersecurity challenges with a data driven approach. Our goal is to become a global vendor, with a disruptive platform to reshape the cybersecurity landscape. Traditional practices driven by risks hypothesis based on annual interviews and on-paper assessments are outdated. With our ESRA platform (Enhanced Security Risk Analytics), we provide near real-time visibility across the cyber realm and data-driven risk analysis, offering a revolutionary approach to objective cybersecurity risk management. + + + + +Why Join Us? + +Innovative Environment: Be part of a dynamic team of over 30 experts with deep and diverse expertise, pushing the boundaries of cybersecurity. +Startup Spirit: We value entrepreneurial drive, innovative thinking, and the grit to challenge the status quo. +Passion for Technology: If you are passionate about technology and improving society, this is the place for you. +Comprehensive Benefits: Competitive salary, performance-based bonuses, welfare incentives and stock options. + + + + +Your Role + +As a Graph Data Scientist, you will be crucial in developing, evolving and maintaining our innovative cybersecurity solution, ESRA. Your contribution will directly impact the safety and security of our digital world. + +You will be responsible for: + +Proposing new approaches to analyze and solve problems +Designing advanced algorithms on graphs modeling networks and medium/large environments (from thousands to hundreds of thousands of nodes) +Implementing proof-of-concept algorithms designed to validate their effectiveness and performance +Research activities for continuous improvement and innovation of the product + + + + +What We’re Looking For + +Education: Degree in technical-scientific disciplines (Plus: Ph.D. with topics related to graph analytics and algorithms). +Experience: at least 3 years of previous experience with algorithms and graph analytics (preferred on Big Data). +Language Skills: Proficiency in the English language. + + + + +Technical Skills + +Graph Drawing +Proficiency in tools for managing large graphs +Ability to design and implement algorithms and analytics, even on large graphs +Good programming skills in high-level languages +Plus: Experience in programming languages such as Python and Java +Cybersecurity: Previous experience cybersecurity context will be considered a plus + + + + +Apply Now! + +Join us in reshaping the cybersecurity landscape. Send your application and become a part of our innovation journey. + +Show more ","
    + + + + + +
    +
    +

    Join our Cybersecurity Team as a Graph Data Scientist!


    At aizoOn, we have been pioneering cybersecurity solutions since 2007 and developing cutting-edge technology since 2012. Our flagship product, introduced in 2013, was among the first in the world to apply machine learning techniques to network traffic analysis, detecting behavioral anomalies and advanced attacks.


    Our mission: Revolutionizing Cybersecurity

    We are on a mission to transform cybersecurity challenges with a data driven approach. Our goal is to become a global vendor, with a disruptive platform to reshape the cybersecurity landscape. Traditional practices driven by risks hypothesis based on annual interviews and on-paper assessments are outdated. With our ESRA platform (Enhanced Security Risk Analytics), we provide near real-time visibility across the cyber realm and data-driven risk analysis, offering a revolutionary approach to objective cybersecurity risk management.


    Why Join Us?

    • Innovative Environment: Be part of a dynamic team of over 30 experts with deep and diverse expertise, pushing the boundaries of cybersecurity.
    • Startup Spirit: We value entrepreneurial drive, innovative thinking, and the grit to challenge the status quo.
    • Passion for Technology: If you are passionate about technology and improving society, this is the place for you.
    • Comprehensive Benefits: Competitive salary, performance-based bonuses, welfare incentives and stock options.


    Your Role

    As a Graph Data Scientist, you will be crucial in developing, evolving and maintaining our innovative cybersecurity solution, ESRA. Your contribution will directly impact the safety and security of our digital world.

    You will be responsible for:

    1. Proposing new approaches to analyze and solve problems
    2. Designing advanced algorithms on graphs modeling networks and medium/large environments (from thousands to hundreds of thousands of nodes)
    3. Implementing proof-of-concept algorithms designed to validate their effectiveness and performance
    4. Research activities for continuous improvement and innovation of the product


    What We’re Looking For

    • Education: Degree in technical-scientific disciplines (Plus: Ph.D. with topics related to graph analytics and algorithms).
    • Experience: at least 3 years of previous experience with algorithms and graph analytics (preferred on Big Data).
    • Language Skills: Proficiency in the English language.


    Technical Skills

    • Graph Drawing
    • Proficiency in tools for managing large graphs
    • Ability to design and implement algorithms and analytics, even on large graphs
    • Good programming skills in high-level languages
    • Plus: Experience in programming languages such as Python and Java
    • Cybersecurity: Previous experience cybersecurity context will be considered a plus


    Apply Now!

    Join us in reshaping the cybersecurity landscape. Send your application and become a part of our innovation journey.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +3976173407,https://it.linkedin.com/jobs/view/front-end-developer-at-randstad-3976173407?position=30&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=Cr63UDshajaz95aoWHgvmw%3D%3D&trk=public_jobs_jserp-result_search-card,Front End Developer,Randstad,"Rome, Latium, Italy","Randstad Technologies, divisione specializzata nella ricerca, selezione e formazione di profili in ambito ICT di Randstad Italia ricerca per software house specializzata in prodotti legati all'ambito giuridico e notarile un/una: + + + + +Front End Developer + +La risorsa sarà inserita nel team IT per la realizzazione ed implementazione di prodotti e servizi software in base ai requisiti ed alle specifiche funzionali in ambito legal e notarile. + + + + +Competenze + + + + +Si richiede tra i 2 e i 4 anni di esperienza maturata in ruolo analogo; +Conoscenza di React.JS, Javascript, PHP; +Preferibile la conoscenza di React native, Node.js; +Conoscenze per Cross-Browser Development; +Padronanza di deploy applicazioni mediante pipeline come GitLab pipeline; +Preferibile la padronanza di ambienti di runtime basati su container come: Docker, Kubernetes, Red Hat OpenShift; +Uso dei principali ambienti di sviluppo (IDE/Editor): es. Visual Studio Code, Sublime Text; +Conoscenze del Content Management Systems WordPress; +Implementazione Testing/Debugging; +Padronanza di Git/Version Control. + + + + +Offerta + + + + +Contratto a tempo indeterminato ad inserimento diretto presso l'azienda, CCNL II livello Commercio; +L’offerta sarà commisurata all’effettiva esperienza maturata dal candidato/a; +Completano il pacchetto retributivo l'aggiunta di benefit. + + + + +Sede: Roma (zona Flaminio), in modalità ibrida. + + + + +La ricerca è rivolta ai candidati ambosessi (L.903/77). Ti preghiamo di leggere l'informativa sulla privacy ai sensi dell'art. 13 del Regolamento (UE) 2016/679 sulla protezione dei dati (GDPR) sul sito https://www.randstad.it/privacy/ + +Show more ","
    + + + + + +
    +
    +

    Randstad Technologies, divisione specializzata nella ricerca, selezione e formazione di profili in ambito ICT di Randstad Italia ricerca per software house specializzata in prodotti legati all'ambito giuridico e notarile un/una:


    Front End Developer

    La risorsa sarà inserita nel team IT per la realizzazione ed implementazione di prodotti e servizi software in base ai requisiti ed alle specifiche funzionali in ambito legal e notarile.


    Competenze


    • Si richiede tra i 2 e i 4 anni di esperienza maturata in ruolo analogo;
    • Conoscenza di React.JS, Javascript, PHP;
    • Preferibile la conoscenza di React native, Node.js;
    • Conoscenze per Cross-Browser Development;
    • Padronanza di deploy applicazioni mediante pipeline come GitLab pipeline;
    • Preferibile la padronanza di ambienti di runtime basati su container come: Docker, Kubernetes, Red Hat OpenShift;
    • Uso dei principali ambienti di sviluppo (IDE/Editor): es. Visual Studio Code, Sublime Text;
    • Conoscenze del Content Management Systems WordPress;
    • Implementazione Testing/Debugging;
    • Padronanza di Git/Version Control.


    Offerta


    • Contratto a tempo indeterminato ad inserimento diretto presso l'azienda, CCNL II livello Commercio;
    • L’offerta sarà commisurata all’effettiva esperienza maturata dal candidato/a;
    • Completano il pacchetto retributivo l'aggiunta di benefit.


    Sede: Roma (zona Flaminio), in modalità ibrida.


    La ricerca è rivolta ai candidati ambosessi (L.903/77). Ti preghiamo di leggere l'informativa sulla privacy ai sensi dell'art. 13 del Regolamento (UE) 2016/679 sulla protezione dei dati (GDPR) sul sito https://www.randstad.it/privacy/

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +4004897132,https://it.linkedin.com/jobs/view/back-end-developer-python-at-orienta-agenzia-per-il-lavoro-4004897132?position=31&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=3J8%2BdmPDnKSeO%2FQXu3Busw%3D%3D&trk=public_jobs_jserp-result_search-card,Back-end Developer (Python),Orienta Agenzia per il Lavoro,"Rome, Latium, Italy","Orienta Digital ricerca per azienda che si occupa di integrazione di sistemi IT, specialmente per il mondo medicale un/una: + +Back-end Developer (Python) + +che, in coordinamento con il responsabile, si occuperà di progettazione software, pianificazione di fattibilità e analisi con il cliente. Seguirà progetti per grandi clienti in ambito Pubblica Amministrazione ed evolutive per prodotti software interni. + +Si richiede una consolidata conoscenza di Python. Inoltre, si richiede conoscenza su SQL, HTML, CSS e JavaScript. + +Il candidato/a ideale è in possesso della Laurea in Informatica o del Diploma Tecnico e ha già maturato almeno 2 anni di esperienza in ruoli analoghi. + +Completano il profilo ottime doti di problem solving, analisi e di team working. + +Si offre un inserimento diretto a tempo indeterminato, inquadramento e retribuzione verranno valutati in base all'esperienza maturata. + +Luogo di lavoro: Roma con possibilità di smart working + +Settore: Informatica + +Ruolo: IT/Technology + +Tipo di occupazione: Lavoro a tempo indeterminato +Show more ","
    + + + + + +
    +
    + Orienta Digital ricerca per azienda che si occupa di integrazione di sistemi IT, specialmente per il mondo medicale un/una:

    Back-end Developer (Python)

    che, in coordinamento con il responsabile, si occuperà di progettazione software, pianificazione di fattibilità e analisi con il cliente. Seguirà progetti per grandi clienti in ambito Pubblica Amministrazione ed evolutive per prodotti software interni.

    Si richiede una consolidata conoscenza di Python. Inoltre, si richiede conoscenza su SQL, HTML, CSS e JavaScript.

    Il candidato/a ideale è in possesso della Laurea in Informatica o del Diploma Tecnico e ha già maturato almeno 2 anni di esperienza in ruoli analoghi.

    Completano il profilo ottime doti di problem solving, analisi e di team working.

    Si offre un inserimento diretto a tempo indeterminato, inquadramento e retribuzione verranno valutati in base all'esperienza maturata.

    Luogo di lavoro: Roma con possibilità di smart working

    Settore: Informatica

    Ruolo: IT/Technology

    Tipo di occupazione: Lavoro a tempo indeterminato +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3991389816,https://it.linkedin.com/jobs/view/software-engineer-at-antal-italy-3991389816?position=34&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=G%2BRfRRxhnPq%2B%2FG%2BLKjrrqQ%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer,Antal Italy,"Rome, Latium, Italy","Per un nostro importante cliente, IDS AirNav del gruppo ENAV, che lavora nel settore dell'aeronautica, siamo alla ricerca di un Software Engineer che supporti lo sviluppo e la manutenzione dei prodotti software, con l’obiettivo di incrementarne la competitività e la qualità nel rispetto di vincoli di time-to-market aggressivi. Nello specifico seguirai le varie fasi del ciclo di vita dei prodotti software con focus, in funzione della seniority, sulle seguenti attività: + +definizione e aggiornamento periodico della roadmap di prodotto; +pianificazione e monitoraggio delle attività di sviluppo delle release; +analisi dei requisiti e progettazione software; +codifica del codice sorgente; +definizione della strategia di test e sviluppo dei test cases, con particolare riguardo agli aspetti di automazione e con l’obiettivo di massimizzare l’efficacia e l’efficienza dei test; +supervisione delle attività di altri membri del team di sviluppo e di eventuali fornitori esterni. + +Requisiti + +Il profilo che cerchiamo ha le seguenti caratteristiche: + +Laurea triennale, specialistica o magistrale in discipline STEM; +Formazione specifica ovvero esperienza professionale in attività di analisi, progettazione e sviluppo software; +Per il profilo junior (Software Engineer): +Conoscenza di uno o più dei seguenti linguaggi di programmazione object-oriented: Java, C++, C#; +conoscenza della lingua italiana al livello C1 o superiore. + +Ulteriori skill: + +Conoscenza delle seguenti tecnologie e framework: Spring, Spring Boot, JHipster, Maven, Docker; +Conoscenza di sistemi GIS (Geographic Information System); +Conoscenza / esperienza su gestione delle strutture di spazi aerei e gestione dei dati aeronautici; +Conoscenza / esperienza di cartografia e pubblicazioni aeronautiche; +Conoscenza / esperienza su concetti operativi aeronautici (Notice to Airmen – NOTAM, Preflight Information Bulletin – PIB, Flight Plan, System-wide Information Management – SWIM; +Conoscenza degli standard di comunicazione AMHS/ATFN; +Conoscenza dei formati di scambio delle informazioni aeronautiche (AIXM, ARINC, DAFIF, …); +Conoscenza dei formati di scambio per la gestione dei dati dei voli (FIXM/ADEXP); +Conoscenza dei formati di scambio dei dati meteo (IWXXM, TAF, METAR, TAC); +Esperienza di sviluppo di sistemi mission critical o safety critical. + + + + +Sede di lavoro: IDS AirNav (Via del Casale Cavallari 200 -00156 Roma) + + + + +Modalità di lavoro: ibrida + + + + +Il profilo ideale potresti essere tu, aspettiamo la tua candidatura! + +Show more ","
    + + + + + +
    +
    +

    Per un nostro importante cliente, IDS AirNav del gruppo ENAV, che lavora nel settore dell'aeronautica, siamo alla ricerca di un Software Engineer che supporti lo sviluppo e la manutenzione dei prodotti software, con l’obiettivo di incrementarne la competitività e la qualità nel rispetto di vincoli di time-to-market aggressivi. Nello specifico seguirai le varie fasi del ciclo di vita dei prodotti software con focus, in funzione della seniority, sulle seguenti attività:

    • definizione e aggiornamento periodico della roadmap di prodotto;
    • pianificazione e monitoraggio delle attività di sviluppo delle release;
    • analisi dei requisiti e progettazione software;
    • codifica del codice sorgente;
    • definizione della strategia di test e sviluppo dei test cases, con particolare riguardo agli aspetti di automazione e con l’obiettivo di massimizzare l’efficacia e l’efficienza dei test;
    • supervisione delle attività di altri membri del team di sviluppo e di eventuali fornitori esterni.

    Requisiti

    Il profilo che cerchiamo ha le seguenti caratteristiche:

    • Laurea triennale, specialistica o magistrale in discipline STEM;
    • Formazione specifica ovvero esperienza professionale in attività di analisi, progettazione e sviluppo software;
    • Per il profilo junior (Software Engineer):
    • Conoscenza di uno o più dei seguenti linguaggi di programmazione object-oriented: Java, C++, C#;
    • conoscenza della lingua italiana al livello C1 o superiore.

    Ulteriori skill:

    • Conoscenza delle seguenti tecnologie e framework: Spring, Spring Boot, JHipster, Maven, Docker;
    • Conoscenza di sistemi GIS (Geographic Information System);
    • Conoscenza / esperienza su gestione delle strutture di spazi aerei e gestione dei dati aeronautici;
    • Conoscenza / esperienza di cartografia e pubblicazioni aeronautiche;
    • Conoscenza / esperienza su concetti operativi aeronautici (Notice to Airmen – NOTAM, Preflight Information Bulletin – PIB, Flight Plan, System-wide Information Management – SWIM;
    • Conoscenza degli standard di comunicazione AMHS/ATFN;
    • Conoscenza dei formati di scambio delle informazioni aeronautiche (AIXM, ARINC, DAFIF, …);
    • Conoscenza dei formati di scambio per la gestione dei dati dei voli (FIXM/ADEXP);
    • Conoscenza dei formati di scambio dei dati meteo (IWXXM, TAF, METAR, TAC);
    • Esperienza di sviluppo di sistemi mission critical o safety critical.


    Sede di lavoro: IDS AirNav (Via del Casale Cavallari 200 -00156 Roma)


    Modalità di lavoro: ibrida


    Il profilo ideale potresti essere tu, aspettiamo la tua candidatura!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3977831980,https://it.linkedin.com/jobs/view/python-full-stack-developer-at-dedagroup-3977831980?position=35&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=l%2B5PR6FDEqw8jr9n6Za9bA%3D%3D&trk=public_jobs_jserp-result_search-card,Python Full Stack Developer,Dedagroup,"Rome, Latium, Italy","Sede: Roma + +Esperienza: Almeno 5 anni + +Cosa aspettarti da questa posizione + +Sarai inserito/a all’interno della nostra Deda Next, azienda del Gruppo che offre alle Pubbliche Amministrazioni Centrali e Locali e alle Utilities, servizi e soluzioni per la trasformazione digitale, per la trasparenza e l’interoperabilità dei dati, per la transizione ecologica ed una maggiore efficacia ed efficienza gestionale. Svolgerai le tue attività in un contesto dinamico, dedicato alla consulenza e alla realizzazione di soluzioni software realizzate per i nostri Clienti, modellando i processi di business e identificando la tipologia più adeguata di soluzioni ICT. + +In particolare, ti occuperai di: + + +Collaborare con altri sviluppatori e membri del team per progettare e implementare soluzioni software; +Creare e mantenere la documentazione tecnica; +Partecipare attivamente al processo di testing e debugging del software; +Implementare le migliori pratiche di sicurezza e performance; +Collaborare con il team DevOps per garantire il rilascio efficiente delle applicazioni. + + +Must Have + + +Laurea in Informatica, Ingegneria del Software o campo correlato; +Esperienza comprovata come sviluppatore full stack (Backend / Frontend); +Conoscenza approfondita di Python, preferibilmente con esperienza nel framework Twisted; +Competenza in Javascript/Typescript con padronanza di framework come Angular/AngularJS; +Conoscenza approfondita di HTML e CSS; +Competenza nell'utilizzo di Bash per l'automazione di processi; +Esperienza nella scrittura di unit-testing e browser testing; +Competenza nell'utilizzo dei database più conosciuti (PostgreSQL, SqLite, MySQL, Oracle); +Esperienza con SQL Alchemy ORM e Alembic per la gestione delle migrazioni; +Conoscenza approfondita dell'ambiente Docker; +Competenza nell'utilizzo di sistemi basati su GNU/Linux; +Conoscenza di sistemi di versioning come Git. + + +Plus + + +Competenze in ambito geospaziale (gdal); +Competenze in ambito data scientist (numpy,pandas); +Competenze nei processi DevOps. + + +Le Soft Skills Che Riteniamo Importanti + +Siamo alla ricerca di una persona orientata al team working e al risultato, con ottime doti comunicative ed in grado di gestire autonomamente le scadenza e la pianificazione delle attività. + +Dedicated to Growth + +Che si tratti di un software, di una soluzione tecnologica o di una consulenza, al cuore di ogni progetto ci sono sempre persone che lavorano insieme ad altre persone. Competenti e curiose, ambiziose e tenaci: alle Deda People piace imparare, confrontarsi, migliorare. La dedizione, per noi, è attitudine al miglioramento continuo, ricerca di obiettivi sempre nuovi, raggiungimento di risultati e capacità di lavorare insieme. ll nostro impegno è far crescere le persone perché possano migliorare, esprimere al meglio il proprio potenziale e contribuire alla costruzione di un futuro migliore: per sé, per Deda e per la società tutta. +Show more ","
    + + + + + +
    +
    + Sede: Roma

    Esperienza: Almeno 5 anni

    Cosa aspettarti da questa posizione

    Sarai inserito/a all’interno della nostra Deda Next, azienda del Gruppo che offre alle Pubbliche Amministrazioni Centrali e Locali e alle Utilities, servizi e soluzioni per la trasformazione digitale, per la trasparenza e l’interoperabilità dei dati, per la transizione ecologica ed una maggiore efficacia ed efficienza gestionale. Svolgerai le tue attività in un contesto dinamico, dedicato alla consulenza e alla realizzazione di soluzioni software realizzate per i nostri Clienti, modellando i processi di business e identificando la tipologia più adeguata di soluzioni ICT.

    In particolare, ti occuperai di:

    • Collaborare con altri sviluppatori e membri del team per progettare e implementare soluzioni software;
    • Creare e mantenere la documentazione tecnica;
    • Partecipare attivamente al processo di testing e debugging del software;
    • Implementare le migliori pratiche di sicurezza e performance;
    • Collaborare con il team DevOps per garantire il rilascio efficiente delle applicazioni.

    Must Have

    • Laurea in Informatica, Ingegneria del Software o campo correlato;
    • Esperienza comprovata come sviluppatore full stack (Backend / Frontend);
    • Conoscenza approfondita di Python, preferibilmente con esperienza nel framework Twisted;
    • Competenza in Javascript/Typescript con padronanza di framework come Angular/AngularJS;
    • Conoscenza approfondita di HTML e CSS;
    • Competenza nell'utilizzo di Bash per l'automazione di processi;
    • Esperienza nella scrittura di unit-testing e browser testing;
    • Competenza nell'utilizzo dei database più conosciuti (PostgreSQL, SqLite, MySQL, Oracle);
    • Esperienza con SQL Alchemy ORM e Alembic per la gestione delle migrazioni;
    • Conoscenza approfondita dell'ambiente Docker;
    • Competenza nell'utilizzo di sistemi basati su GNU/Linux;
    • Conoscenza di sistemi di versioning come Git.

    Plus

    • Competenze in ambito geospaziale (gdal);
    • Competenze in ambito data scientist (numpy,pandas);
    • Competenze nei processi DevOps.

    Le Soft Skills Che Riteniamo Importanti

    Siamo alla ricerca di una persona orientata al team working e al risultato, con ottime doti comunicative ed in grado di gestire autonomamente le scadenza e la pianificazione delle attività.

    Dedicated to Growth

    Che si tratti di un software, di una soluzione tecnologica o di una consulenza, al cuore di ogni progetto ci sono sempre persone che lavorano insieme ad altre persone. Competenti e curiose, ambiziose e tenaci: alle Deda People piace imparare, confrontarsi, migliorare. La dedizione, per noi, è attitudine al miglioramento continuo, ricerca di obiettivi sempre nuovi, raggiungimento di risultati e capacità di lavorare insieme. ll nostro impegno è far crescere le persone perché possano migliorare, esprimere al meglio il proprio potenziale e contribuire alla costruzione di un futuro migliore: per sé, per Deda e per la società tutta. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +4004439393,https://it.linkedin.com/jobs/view/project-developer-at-worldwide-recruitment-energy-4004439393?position=36&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=dyGW0xMCE3L6QPuUsMUftQ%3D%3D&trk=public_jobs_jserp-result_search-card,Project Developer,Worldwide Recruitment Energy,"Rome, Latium, Italy","Informazioni su di noi + +Siamo Worldwide Recruitment Energy, la principale società di consulenza nel settore energetico. Con sedi a Città del Messico, Madrid e Milano e una visione internazionale in America Latina e EMEA. Il nostro team è specializzato nel reclutamento internazionale per fondi, sviluppatori, consulenti, servizi pubblici, produttori di attrezzature, appaltatori EPC e aziende di gestione e manutenzione. I nostri principali settori di interesse includono l'energia solare fotovoltaica, l'energia eolica terrestre, l'energia eolica marina, la biomassa, l'energia idroelettrica, l'efficienza energetica e il petrolio e il gas. Connettiamo le migliori opportunità di business con l'energia delle persone. + +Missione + +Responsabilità + + +Supporto nella selezione delle località per lo sviluppo dei progetti. +Identificazione e negoziazione di contratti per i terreni adatti allo sviluppo di progetti di energia solare fotovoltaica. +Gestione della pipeline dei progetti rinnovabili greenfield e brownfield. +Gestione delle autorizzazioni per garantire la prontezza per la costruzione (Ready to Build - RTB). +Gestione delle autorizzazioni e delle licenze necessarie per lo sviluppo dei progetti, oltre che essere il punto di contatto con le autorità locali, i proprietari, le compagnie elettriche, ecc. +Gestione della procedura di accesso e connessione alla rete elettrica. +Coordinamento con il team di ingegneria i requisiti tecnici per i progetti. + + +Profilo + +Requisiti + + +Titolo di studio in Ingegneria. +Dai 3 ai 5 anni di esperienza in posizioni simili o correlate. +Esperienza precedente nel settore delle energie rinnovabili (PV, solare) su larga scala. +Abituato a riportare lo stato dei progetti settimanalmente. +Buone capacità organizzative e di comunicazione. + + +Référence de l'offre : 18dgnv63t2 +Show more ","
    + + + + + +
    +
    + Informazioni su di noi

    Siamo Worldwide Recruitment Energy, la principale società di consulenza nel settore energetico. Con sedi a Città del Messico, Madrid e Milano e una visione internazionale in America Latina e EMEA. Il nostro team è specializzato nel reclutamento internazionale per fondi, sviluppatori, consulenti, servizi pubblici, produttori di attrezzature, appaltatori EPC e aziende di gestione e manutenzione. I nostri principali settori di interesse includono l'energia solare fotovoltaica, l'energia eolica terrestre, l'energia eolica marina, la biomassa, l'energia idroelettrica, l'efficienza energetica e il petrolio e il gas. Connettiamo le migliori opportunità di business con l'energia delle persone.

    Missione

    Responsabilità

    • Supporto nella selezione delle località per lo sviluppo dei progetti.
    • Identificazione e negoziazione di contratti per i terreni adatti allo sviluppo di progetti di energia solare fotovoltaica.
    • Gestione della pipeline dei progetti rinnovabili greenfield e brownfield.
    • Gestione delle autorizzazioni per garantire la prontezza per la costruzione (Ready to Build - RTB).
    • Gestione delle autorizzazioni e delle licenze necessarie per lo sviluppo dei progetti, oltre che essere il punto di contatto con le autorità locali, i proprietari, le compagnie elettriche, ecc.
    • Gestione della procedura di accesso e connessione alla rete elettrica.
    • Coordinamento con il team di ingegneria i requisiti tecnici per i progetti.

    Profilo

    Requisiti

    • Titolo di studio in Ingegneria.
    • Dai 3 ai 5 anni di esperienza in posizioni simili o correlate.
    • Esperienza precedente nel settore delle energie rinnovabili (PV, solare) su larga scala.
    • Abituato a riportare lo stato dei progetti settimanalmente.
    • Buone capacità organizzative e di comunicazione.

    Référence de l'offre : 18dgnv63t2 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3993846317,https://it.linkedin.com/jobs/view/research-and-development-engineer-at-leonardo-3993846317?position=37&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=GWXZKI74o8r8Wzbb1Dkxag%3D%3D&trk=public_jobs_jserp-result_search-card,Research And Development Engineer,Leonardo,"Rome, Latium, Italy","Leonardo è un gruppo industriale internazionale, tra le principali realtà mondiali nell’Aerospazio, Difesa e Sicurezza che realizza capacità tecnologiche multidominio in ambito Elicotteri, Velivoli, Aerostrutture, Elettronica, Cyber Security e Spazio. Con oltre 53.000 dipendenti nel mondo, l’azienda ha una solida presenza industriale in Italia, Regno Unito, Polonia, Stati Uniti, e opera in 150 paesi anche attraverso aziende controllate, joint venture e partecipazioni. Protagonista dei principali programmi strategici a livello globale, è partner tecnologico e industriale di Governi, Amministrazioni della Difesa, Istituzioni e imprese. + + + + +All’interno dell’Area Cyber & Security Solutions, stiamo ricercando un/a Research And Development Engineer per la nostra sede di Roma Laurentina. + + + + +La persona si occuperà delle seguenti attività: + +Analisi in ambito crittografico e quantum communications +Analisi tecnologica, prototipazione e test di schemi di cifratura nei seguenti Framework PQC / FHE / ABE +Supporto e collaborazione con il laboratorio corporate di Quantum Technologies dei Leonardo Innovation Labs per sviluppare soluzioni di Key Management per Quantum Networks e software di controllo per dispositivi QKD e QRNG + + + + +Titolo di studio: + +laurea magistrale o PhD in Ingegneria Informatica / Elettronica / Telecomunicazioni alternativamente PhD in Fisica o Matematica + + + + +Seniority: + +Expert 3-5 anni di esperienza + + + + +Conoscenze e competenze tecniche: + +esperienza di SW dev e ambienti di sviluppo (preferenzialmente per applicazioni di natura crittografica); + +conoscenza dei principali metodi di firma digitale e di scambio chiave, + +conoscenza dei principali cifrari simmetrici; costituisce una caratteristica preferenziale esperienza nell’ambito delle reti ottiche e dell’ottica quantistica. + + + + +Competenze comportamentali: + +autonomia tecnica e attitudine allo studio e alla ricerca +spiccata capacità di interazione e capacità di divulgazione di contenuti tecnici a diverse tipologie di audience + + + + +Conoscenze linguistiche: + +ottima conoscenza lingua Inglese (C1) + + + + +Competenze informatiche: + +ottima conoscenza di Python/C/C++/RUST; capacità di utilizzo dell’IDE VS Code; gradita esperienza di sviluppo in FPGA + + + + +Altro (es. Disponibilità a trasferte, Certificazioni specifiche…): + +Disponibilità ad effettuare trasferte + + + + +Aspettiamo la tua candidatura: inviaci il tuo CV entro tre settimane dall’apertura dell’annuncio di lavoro. + +Come funziona il processo di selezione? + +A seguito della raccolta delle candidature, vengono valutati e identificati i CV maggiormente in linea con i requisiti richiesti. + +Le/i candidate/i selezionate/i sostengono un colloquio conoscitivo con il team delle Risorse Umane, motivazionale e + +attitudinale, seguito da un’intervista di approfondimento tecnico con il Business. + +Al termine del processo, alla persona viene restituito un feedback, sia in caso di esito positivo che negativo. + + + + +Coinvolgimento, valorizzazione delle competenze, cura del benessere e della sicurezza delle persone sono i cardini della nostra cultura aziendale. + +Ci impegniamo ogni giorno a favorire un ambiente di lavoro inclusivo e stimolante, promuovendo attivamente i principi di inclusione, equità e valorizzazione delle diversità. + + + + +Cosa offriamo? + +Retribuzione fissa commisurata all’esperienza e al livello della persona selezionata, accompagnata da premialità legate ai risultati di business; +Opportunità di formazione e aggiornamento continuo delle competenze professionali e delle soft skill; +Work-Life Balance: promuoviamo il giusto equilibrio tra vita privata e vita professionale a partire da formule di lavoro ibride e flessibili; +Benessere: mettiamo al primo posto il benessere economico, fisico, sociale e psicologico delle nostre persone, offrendo molteplici soluzioni vicine alle loro esigenze. + + + + +Il nostro contratto collettivo nazionale del lavoro di riferimento è il CCNL per l’Industria Metalmeccanica Privata e della Installazione di Impianti. + + + + +Lavorando con noi avrai modo di confrontarti costantemente con le sfide dell’alta tecnologia, di accrescere le tue competenze e costruire un percorso professionale di eccellenza. + +Show more ","
    + + + + + +
    +
    +

    Leonardo è un gruppo industriale internazionale, tra le principali realtà mondiali nell’Aerospazio, Difesa e Sicurezza che realizza capacità tecnologiche multidominio in ambito Elicotteri, Velivoli, Aerostrutture, Elettronica, Cyber Security e Spazio. Con oltre 53.000 dipendenti nel mondo, l’azienda ha una solida presenza industriale in Italia, Regno Unito, Polonia, Stati Uniti, e opera in 150 paesi anche attraverso aziende controllate, joint venture e partecipazioni. Protagonista dei principali programmi strategici a livello globale, è partner tecnologico e industriale di Governi, Amministrazioni della Difesa, Istituzioni e imprese.


    All’interno dell’Area Cyber & Security Solutions, stiamo ricercando un/a Research And Development Engineer per la nostra sede di Roma Laurentina.


    La persona si occuperà delle seguenti attività:

    • Analisi in ambito crittografico e quantum communications
    • Analisi tecnologica, prototipazione e test di schemi di cifratura nei seguenti Framework PQC / FHE / ABE
    • Supporto e collaborazione con il laboratorio corporate di Quantum Technologies dei Leonardo Innovation Labs per sviluppare soluzioni di Key Management per Quantum Networks e software di controllo per dispositivi QKD e QRNG


    Titolo di studio:

    laurea magistrale o PhD in Ingegneria Informatica / Elettronica / Telecomunicazioni alternativamente PhD in Fisica o Matematica


    Seniority:

    Expert 3-5 anni di esperienza


    Conoscenze e competenze tecniche:

    esperienza di SW dev e ambienti di sviluppo (preferenzialmente per applicazioni di natura crittografica);

    conoscenza dei principali metodi di firma digitale e di scambio chiave,

    conoscenza dei principali cifrari simmetrici; costituisce una caratteristica preferenziale esperienza nell’ambito delle reti ottiche e dell’ottica quantistica.


    Competenze comportamentali:

    • autonomia tecnica e attitudine allo studio e alla ricerca
    • spiccata capacità di interazione e capacità di divulgazione di contenuti tecnici a diverse tipologie di audience


    Conoscenze linguistiche:

    ottima conoscenza lingua Inglese (C1)


    Competenze informatiche:

    ottima conoscenza di Python/C/C++/RUST; capacità di utilizzo dell’IDE VS Code; gradita esperienza di sviluppo in FPGA


    Altro (es. Disponibilità a trasferte, Certificazioni specifiche…):

    Disponibilità ad effettuare trasferte


    Aspettiamo la tua candidatura: inviaci il tuo CV entro tre settimane dall’apertura dell’annuncio di lavoro.

    Come funziona il processo di selezione?

    A seguito della raccolta delle candidature, vengono valutati e identificati i CV maggiormente in linea con i requisiti richiesti.

    Le/i candidate/i selezionate/i sostengono un colloquio conoscitivo con il team delle Risorse Umane, motivazionale e

    attitudinale, seguito da un’intervista di approfondimento tecnico con il Business.

    Al termine del processo, alla persona viene restituito un feedback, sia in caso di esito positivo che negativo.


    Coinvolgimento, valorizzazione delle competenze, cura del benessere e della sicurezza delle persone sono i cardini della nostra cultura aziendale.

    Ci impegniamo ogni giorno a favorire un ambiente di lavoro inclusivo e stimolante, promuovendo attivamente i principi di inclusione, equità e valorizzazione delle diversità.


    Cosa offriamo?

    • Retribuzione fissa commisurata all’esperienza e al livello della persona selezionata, accompagnata da premialità legate ai risultati di business;
    • Opportunità di formazione e aggiornamento continuo delle competenze professionali e delle soft skill;
    • Work-Life Balance: promuoviamo il giusto equilibrio tra vita privata e vita professionale a partire da formule di lavoro ibride e flessibili;
    • Benessere: mettiamo al primo posto il benessere economico, fisico, sociale e psicologico delle nostre persone, offrendo molteplici soluzioni vicine alle loro esigenze.


    Il nostro contratto collettivo nazionale del lavoro di riferimento è il CCNL per l’Industria Metalmeccanica Privata e della Installazione di Impianti.


    Lavorando con noi avrai modo di confrontarti costantemente con le sfide dell’alta tecnologia, di accrescere le tue competenze e costruire un percorso professionale di eccellenza.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3993455121,https://it.linkedin.com/jobs/view/senior-ai-engineer-google-at-bip-3993455121?position=38&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=OaHjN%2Buel%2B3kkQUSZ7QBrQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior AI Engineer - Google,BIP,"Rome, Latium, Italy"," + +SENIOR AI ENGINEER – GOOGLE   + +Quale sarà la tua sfida? + +Il nostro team di Artificial Intelligence Engineering, che lavora verticalmente su piattaforme Google Cloud (GCP), si impegna a supportare i clienti nel percorso di adozione dell’intelligenza artificiale attraverso la realizzazione di factory di soluzioni di AI, azionabili e integrate nell'architettura e nei processi aziendali. + +La figura dell’AI Engineer progetta soluzioni software di Machine Learning (ML) scalabili per i casi d'uso dei clienti e le industrializza per l’esecuzione in produzione garantendo i livelli richiesti di performance, sicurezza e governabilità. + +L’AI Engineer lavora a stretto contatto con altre figure di Bip xTech, come Cloud Data Architects, Data Scientists e Data Engineer, per realizzare soluzioni ML di alta qualità sotto ogni aspetto: disegnando e implementando per il team strumenti di lavoro come le piattaforme di MLOps, fornendo linee guida e best practise sulle architetture dati e di AI, supportando l’implementazione del software e funzionalità di osservabilità dell’AI, e altro ancora. + +Sei tu il nostro nuovo collega? + + Requisiti fondamentali + + +Laurea specialistica in Ingegneria Informatica, Data Science, Informatica o discipline affini (STEM); +Esperienza pregressa nell’utilizzo della piattaforma Google Cloud; +Esperienza pregressa di almeno 5 anni nello sviluppo di software in almeno un linguaggio, come per esempio: Python, Scala, Java, e/o simili; +Esperienza nel disegno di soluzioni software e nell’implementazione di strutture dati, algoritmi; +Esperienza nell’utilizzo degli strumenti di Code Repository e CI/CD; +Conoscenza dei concetti, algoritmi e metodologie di Machine Learning e Generative AI. +Esperienza con linguaggi SQL per il design, query e gestione dei database; esperienza nell’utilizzo di linguaggi SQL per le attività di ETL; +Esperienza in attività di coordinamento e crescita di un team o più team di progetto, pre-sales e delivery; +Indispensabile la conoscenza fluente di italiano e inglese professionali. + + +Perchè Bip? + +People at the center of our culture + +Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone. + +Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti.  + +Challenge yourself + +Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco. + +Unlocking your potential + +Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti. + +Work-life Integration + +Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration. + +Diversity & Inclusion + +Valorizziamo l’unicità e ci impegniamo a garantire che tutti i dipendenti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro. + +Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi. + +Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –. + +Next Steps + +Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente. + +Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca. + +L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner. + +L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting. + +In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future. + +Se dovessi identificare tu stesso ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente. + +Su di Noi + +Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione. + +Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato. + +Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia. + +Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse. + + +Show more ","
    + + + + + +
    +
    +

    SENIOR AI ENGINEER – GOOGLE  

    Quale sarà la tua sfida?

    Il nostro team di Artificial Intelligence Engineering, che lavora verticalmente su piattaforme Google Cloud (GCP), si impegna a supportare i clienti nel percorso di adozione dell’intelligenza artificiale attraverso la realizzazione di factory di soluzioni di AI, azionabili e integrate nell'architettura e nei processi aziendali.

    La figura dell’AI Engineer progetta soluzioni software di Machine Learning (ML) scalabili per i casi d'uso dei clienti e le industrializza per l’esecuzione in produzione garantendo i livelli richiesti di performance, sicurezza e governabilità.

    L’AI Engineer lavora a stretto contatto con altre figure di Bip xTech, come Cloud Data Architects, Data Scientists e Data Engineer, per realizzare soluzioni ML di alta qualità sotto ogni aspetto: disegnando e implementando per il team strumenti di lavoro come le piattaforme di MLOps, fornendo linee guida e best practise sulle architetture dati e di AI, supportando l’implementazione del software e funzionalità di osservabilità dell’AI, e altro ancora.

    Sei tu il nostro nuovo collega?

     Requisiti fondamentali
    • Laurea specialistica in Ingegneria Informatica, Data Science, Informatica o discipline affini (STEM);
    • Esperienza pregressa nell’utilizzo della piattaforma Google Cloud;
    • Esperienza pregressa di almeno 5 anni nello sviluppo di software in almeno un linguaggio, come per esempio: Python, Scala, Java, e/o simili;
    • Esperienza nel disegno di soluzioni software e nell’implementazione di strutture dati, algoritmi;
    • Esperienza nell’utilizzo degli strumenti di Code Repository e CI/CD;
    • Conoscenza dei concetti, algoritmi e metodologie di Machine Learning e Generative AI.
    • Esperienza con linguaggi SQL per il design, query e gestione dei database; esperienza nell’utilizzo di linguaggi SQL per le attività di ETL;
    • Esperienza in attività di coordinamento e crescita di un team o più team di progetto, pre-sales e delivery;
    • Indispensabile la conoscenza fluente di italiano e inglese professionali.


    Perchè Bip?

    People at the center of our culture

    Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone.

    Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti. 

    Challenge yourself

    Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco.

    Unlocking your potential

    Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti.

    Work-life Integration

    Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration.

    Diversity & Inclusion

    Valorizziamo l’unicità e ci impegniamo a garantire che tutti i dipendenti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro.

    Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi.

    Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –.

    Next Steps

    Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente.

    Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca.

    L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner.

    L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting.

    In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future.

    Se dovessi identificare tu stesso ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente.

    Su di Noi

    Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione.

    Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato.

    Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia.

    Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse.

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    ",2024-08-06,[] +3962943036,https://it.linkedin.com/jobs/view/senior-data-scientist-roma-at-kpmg-italy-3962943036?position=41&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=8X7Ugr1V47SS1mz%2BkRvp%2Fw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist - Roma,KPMG Italy,"Rome, Latium, Italy","Senior Data Scientist + +Management consulting - Lighthouse + +Roma + +Lighthouse, centro di eccellenza di KPMG Advisory, si concentra sul fornire soluzioni tecnologiche all'avanguardia, tra cui algoritmi di AdvanceAnalytics e Intelligenza Artificiale in diversi settori. Siamo specializzati nelle tecnologie Data-Driven e stiamo cercando un Senior Data Scientist di talento con esperienza nell'elaborazione del linguaggio naturale (NLP) e nell'AI generativa. + +Le principali attività saranno le seguenti: + + +Integrazione dei dati: Identificare ed elaborare importanti fonti di dati per supportare strumenti e metodologie Data-Driven; +Modellazione: Sviluppare e adattare modelli di intelligenza artificiale per rispondere a specifici requisiti aziendali; +Piattaforme di analisi avanzate: Costruire pipeline ML complete, dall'ingestione dei dati alle applicazioni frontend; +Comunicazione aziendale: Condividere i dettagli del progetto con gli utenti aziendali per creare fiducia e spiegare le metodologie; +Sviluppo del team: Fare da mentore ai nuovi membri del team per migliorare le loro competenze e la loro crescita come Data Scientist e MLOps Engineer. + + +Il candidato lavorerà con le seguenti tecnologie: + + +Linguaggi di programmazione: Python (& PySpark); +Librerie e framework: NLTK, SpaCy, Keras, PyTorch; +Gen AI: OpenAI, Claude, modelli di hugging-face; +Piattaforme: Hugging Face, Github; +Distribuzione dei modelli: Flask, MLFlow; +Cloud: Azure. + + +Il candidato ideale deve soddisfare i seguenti requisiti: + + +Conoscenza di Python; +Buona conoscenza di come progettare e organizzare un Modello di Dati; +Buona conoscenza di come rappresentare i risultati graficamente; +Buona conoscenza del Cloud; +Inglese avanzato; +Almeno 3 anni di esperienza di lavoro su progetti di Advanced Analytics. + + +I dati richiesti saranno gestiti nel rispetto del Decreto Legislativo Europeo n. 679/2016 (General Data Protection Regulation - ""GDPR"") e successive modifiche o integrazioni. Per maggiori informazioni si rimanda alla Privacy Policy di KPMG. KPMG Advisory S.p.A. è un datore di lavoro che rispetta le pari opportunità. + +Senior Data Scientist + +Management Consulting – Lighthouse + +Rome + +Lighthouse, KPMG Advisory’s center of excellence, focuses on delivering cutting-edge Technology solutions, including Advanced Analytics & Artificial Intelligence algothms across various industries. We specialize in Data-Driven Technologies and are seeking a talented Senior Data Scientist with expertise in Natural Language Processing (NLP) and Generative AI. + +The job’s main activities will be the following: + + +Data Integration: Identify and process important data sources to support Data-Driven tools and methodologies; +Modeling: Develop and Adapt Artificial Intelligence models to address specific business requirements; +Advanced Analytics Platforms: Build complete ML pipelines from data ingestion to frontend applications; +Business Communication: Share project details with business users to build trust and explain methodologies; +Team Development: Mentor new team members to enhance their skills and growth as Data Scientists & MLOps Engineer. + + +The candidate will work with the following technologies: + + +Programming Languages: Python (& PySpark); +Libraries and Frameworks: NLTK, SpaCy, Keras, PyTorch; +Gen AI: OpenAI, Claude, hugging face models; +Platforms: Hugging Face, Github; +Model Deployment: Flask, MLFlow; +Cloud: Azure. + + +The ideal candidate should meet the following requirements: + + +Proficient in Python; +Good knowledge on how to design and organize a Data Model; +Good knowledge on how to rapresent results graphically; +Good Cloud Knowledge; +Advanced English; +At least 3 years of experience working on Advanced Analytics projects. + + +Required data will be managed in compliance with the European legislative Decree no. 679/2016 (General Data Protection Regulation - “GDPR”) and later modifications or integrations. + +For more information please refer at KPMG Privacy Policy. KPMG Advisory S.p.A. is an equal opportunities employer. + + +Show more ","
    + + + + + +
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    + Senior Data Scientist

    Management consulting - Lighthouse

    Roma

    Lighthouse, centro di eccellenza di KPMG Advisory, si concentra sul fornire soluzioni tecnologiche all'avanguardia, tra cui algoritmi di AdvanceAnalytics e Intelligenza Artificiale in diversi settori. Siamo specializzati nelle tecnologie Data-Driven e stiamo cercando un Senior Data Scientist di talento con esperienza nell'elaborazione del linguaggio naturale (NLP) e nell'AI generativa.

    Le principali attività saranno le seguenti:

    • Integrazione dei dati: Identificare ed elaborare importanti fonti di dati per supportare strumenti e metodologie Data-Driven;
    • Modellazione: Sviluppare e adattare modelli di intelligenza artificiale per rispondere a specifici requisiti aziendali;
    • Piattaforme di analisi avanzate: Costruire pipeline ML complete, dall'ingestione dei dati alle applicazioni frontend;
    • Comunicazione aziendale: Condividere i dettagli del progetto con gli utenti aziendali per creare fiducia e spiegare le metodologie;
    • Sviluppo del team: Fare da mentore ai nuovi membri del team per migliorare le loro competenze e la loro crescita come Data Scientist e MLOps Engineer.

    Il candidato lavorerà con le seguenti tecnologie:

    • Linguaggi di programmazione: Python (& PySpark);
    • Librerie e framework: NLTK, SpaCy, Keras, PyTorch;
    • Gen AI: OpenAI, Claude, modelli di hugging-face;
    • Piattaforme: Hugging Face, Github;
    • Distribuzione dei modelli: Flask, MLFlow;
    • Cloud: Azure.

    Il candidato ideale deve soddisfare i seguenti requisiti:

    • Conoscenza di Python;
    • Buona conoscenza di come progettare e organizzare un Modello di Dati;
    • Buona conoscenza di come rappresentare i risultati graficamente;
    • Buona conoscenza del Cloud;
    • Inglese avanzato;
    • Almeno 3 anni di esperienza di lavoro su progetti di Advanced Analytics.

    I dati richiesti saranno gestiti nel rispetto del Decreto Legislativo Europeo n. 679/2016 (General Data Protection Regulation - ""GDPR"") e successive modifiche o integrazioni. Per maggiori informazioni si rimanda alla Privacy Policy di KPMG. KPMG Advisory S.p.A. è un datore di lavoro che rispetta le pari opportunità.

    Senior Data Scientist

    Management Consulting – Lighthouse

    Rome

    Lighthouse, KPMG Advisory’s center of excellence, focuses on delivering cutting-edge Technology solutions, including Advanced Analytics & Artificial Intelligence algothms across various industries. We specialize in Data-Driven Technologies and are seeking a talented Senior Data Scientist with expertise in Natural Language Processing (NLP) and Generative AI.

    The job’s main activities will be the following:

    • Data Integration: Identify and process important data sources to support Data-Driven tools and methodologies;
    • Modeling: Develop and Adapt Artificial Intelligence models to address specific business requirements;
    • Advanced Analytics Platforms: Build complete ML pipelines from data ingestion to frontend applications;
    • Business Communication: Share project details with business users to build trust and explain methodologies;
    • Team Development: Mentor new team members to enhance their skills and growth as Data Scientists & MLOps Engineer.

    The candidate will work with the following technologies:

    • Programming Languages: Python (& PySpark);
    • Libraries and Frameworks: NLTK, SpaCy, Keras, PyTorch;
    • Gen AI: OpenAI, Claude, hugging face models;
    • Platforms: Hugging Face, Github;
    • Model Deployment: Flask, MLFlow;
    • Cloud: Azure.

    The ideal candidate should meet the following requirements:

    • Proficient in Python;
    • Good knowledge on how to design and organize a Data Model;
    • Good knowledge on how to rapresent results graphically;
    • Good Cloud Knowledge;
    • Advanced English;
    • At least 3 years of experience working on Advanced Analytics projects.

    Required data will be managed in compliance with the European legislative Decree no. 679/2016 (General Data Protection Regulation - “GDPR”) and later modifications or integrations.

    For more information please refer at KPMG Privacy Policy. KPMG Advisory S.p.A. is an equal opportunities employer.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +3958049907,https://it.linkedin.com/jobs/view/recent-graduates-in-management-engineering-informatics-stem-disciplines-at-hspi-consulenti-di-direzione-3958049907?position=42&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=P%2Fgz0RzkoJxXcRfWNWgRGg%3D%3D&trk=public_jobs_jserp-result_search-card,"Recent graduates in Management Engineering,informatics, STEM disciplines.",HSPI Consulenti di Direzione,"Rome, Latium, Italy","Would you like to direct your professional career towards the world of Management Consulting? + +HSPI S.p.A, an IT consulting company active for over 20 years and part of the TXT Group, is the answer to your aspirations! + +HSPI opens its doors to recent graduates in economics, management engineering, computer science, and scientific fields to become future IT Consultants. + +HSPI offers its clients services in Business Consulting, IT Governance, and Digital Innovation. + +If you have a theoretical understanding of these topics and wish to understand how they are applied in the world of work, send your application and you will have the opportunity to participate in an #Assessmentday session! + +Upon successful completion of the selection process, you will have the opportunity to work with clients in the Roman territory and at the HSPI headquarters in Rome, engaging in one of the three pillars that make up HSPI and represent one of the following professional roles: + + +Project Management Consultant: Plans, manages, and monitors projects, ensuring the achievement of objectives within time and budget constraints. +IT Governance Consultant: Defines processes, policies, and procedures to ensure the achievement of corporate objectives through digital leverage. +Business Analyst: Analyzes business objectives and processes, identifying organizational and technological solutions for business innovation and improving corporate efficiency. +Data Scientist: Utilizes advanced data analysis techniques to extract knowledge and define strategies or make decisions. +Requirement Engineer: Explicitly negotiates and documents the requirements of IT solutions, ensuring they are clear, complete, and validated by stakeholders. +Cybersecurity Consultant: Identifies, analyzes, and mitigates risks to information security, developing and implementing strategies for data and IT service protection. +Compliance & ISO Consultant: Ensures company performance and compliance with regulations and international standards through the implementation of quality management systems. + + + +What technical requirements should you have? + + +Master's degree in Management Engineering, Economics, Economics and Management, Computer Science, or STEM disciplines; +Excellent knowledge of the Office package (Excel, PowerPoint, Word); +Good knowledge of the English language. + + + +What soft skills should you possess? + + +Excellent communication skills (both oral and written); +Teamworking ability; +Goal orientation, precision, and attention to detail. + + + +Why choose HSPI? + + +Concrete experiences and on-the-job training: you will be immediately placed with clients of primary importance, constantly supported by Senior Consultants and Project Managers; +HSPI can provide certified training in various areas, customized based on your attitudes, skills, and knowledge; +Work mode with a high degree of autonomy and responsibility; +Young and dynamic environment within a rapidly growing and expanding international ecosystem; +Hybrid working mode with the possibility of Smart Working and flexible entry and exit times. + + + +We anticipate an insertion with Extracurricular Internship or Apprenticeship contract, in line with your skills. + +Apply and indicate in the presentation area the area of your greatest interest! + +We look forward to seeing you at the next AssessmentDay! + +#HSPI + + +Show more ","
    + + + + + +
    +
    + Would you like to direct your professional career towards the world of Management Consulting?

    HSPI S.p.A, an IT consulting company active for over 20 years and part of the TXT Group, is the answer to your aspirations!

    HSPI opens its doors to recent graduates in economics, management engineering, computer science, and scientific fields to become future IT Consultants.

    HSPI offers its clients services in Business Consulting, IT Governance, and Digital Innovation.

    If you have a theoretical understanding of these topics and wish to understand how they are applied in the world of work, send your application and you will have the opportunity to participate in an #Assessmentday session!

    Upon successful completion of the selection process, you will have the opportunity to work with clients in the Roman territory and at the HSPI headquarters in Rome, engaging in one of the three pillars that make up HSPI and represent one of the following professional roles:

    • Project Management Consultant: Plans, manages, and monitors projects, ensuring the achievement of objectives within time and budget constraints.
    • IT Governance Consultant: Defines processes, policies, and procedures to ensure the achievement of corporate objectives through digital leverage.
    • Business Analyst: Analyzes business objectives and processes, identifying organizational and technological solutions for business innovation and improving corporate efficiency.
    • Data Scientist: Utilizes advanced data analysis techniques to extract knowledge and define strategies or make decisions.
    • Requirement Engineer: Explicitly negotiates and documents the requirements of IT solutions, ensuring they are clear, complete, and validated by stakeholders.
    • Cybersecurity Consultant: Identifies, analyzes, and mitigates risks to information security, developing and implementing strategies for data and IT service protection.
    • Compliance & ISO Consultant: Ensures company performance and compliance with regulations and international standards through the implementation of quality management systems.


    What technical requirements should you have?

    • Master's degree in Management Engineering, Economics, Economics and Management, Computer Science, or STEM disciplines;
    • Excellent knowledge of the Office package (Excel, PowerPoint, Word);
    • Good knowledge of the English language.


    What soft skills should you possess?

    • Excellent communication skills (both oral and written);
    • Teamworking ability;
    • Goal orientation, precision, and attention to detail.


    Why choose HSPI?

    • Concrete experiences and on-the-job training: you will be immediately placed with clients of primary importance, constantly supported by Senior Consultants and Project Managers;
    • HSPI can provide certified training in various areas, customized based on your attitudes, skills, and knowledge;
    • Work mode with a high degree of autonomy and responsibility;
    • Young and dynamic environment within a rapidly growing and expanding international ecosystem;
    • Hybrid working mode with the possibility of Smart Working and flexible entry and exit times.


    We anticipate an insertion with Extracurricular Internship or Apprenticeship contract, in line with your skills.

    Apply and indicate in the presentation area the area of your greatest interest!

    We look forward to seeing you at the next AssessmentDay!

    #HSPI

    +
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    + +
    ",2024-08-07,[] +3988374686,https://it.linkedin.com/jobs/view/project-developer-fotovoltaico-at-wyser-3988374686?position=43&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=p0YMtqh4rqE3A8A8P2r1Yw%3D%3D&trk=public_jobs_jserp-result_search-card,Project Developer - Fotovoltaico,Wyser,"Rome, Latium, Italy","Per Azienda Specializzata Negli Impianti Fotovoltaici Ricerchiamo Un + +PROJECT DEVELOPER + +Principali Attività + + +Sviluppatore di progetti per impianti fotovoltaici su scala industriale su terreni grezzi. +Supervisione/esecuzione dell'intero processo di autorizzazione fino allo stato di pronto per la costruzione, collaborazione con i Construction Manager fino al raggiungimento della data di operatività commerciale. + + +ESPERIENZA, COMPETENZE E QUALIFICHE RICHIESTE + + +Lingue: inglese essenziale - la padronanza del francese sarebbe un vantaggio; +Laurea triennale in economia, ingegneria o campo correlato +Progressa esperienza nello sviluppo di progetti di impianti fotovoltaici su scala industriale su terreni grezzi in Italia e familiarità con il processo di autorizzazione, dal greenfield fino alla costruzione +Buona conoscenza di tutte le parti del settore delle energie rinnovabili, del ciclo di sviluppo fotovoltaico ed esperienza nella negoziazione di accordi e contratti e nel rapporto con le pubbliche amministrazioni e i gestori di rete (GSE, Enel, Terna ecc.); +Familiarità con tutte le attività/procedure di autorizzazione italiane relative al raggiungimento dello stato di pronto per la costruzione dell'impianto fotovoltaico e delle infrastrutture di connessione alla rete, nonché al raggiungimento di potenziali tariffe di immissione; +Ottime capacità di comunicazione e presentazione, sia scritte che verbali. + + +SEDE: ROMA + +Wyser è il brand globale che si occupa di ricerca e selezione di profili manageriali ed executive di Gi Group Holding, la prima multinazionale italiana del lavoro e una tra le principali realtà che offrono servizi e consulenza HR a livello globale. I candidati ambosessi (D.lgs. n. 198/2006), sono invitati a leggere l’informativa privacy ai sensi degli artt. 13 e 14 del Reg. EU 679/2016 al seguente indirizzo: https://it.wyser-search.com/privacy-policy/ + +Wyser (Aut. Min. del 15/04/2014 Prot. N: 39/4903) + + +Show more ","
    + + + + + +
    +
    + Per Azienda Specializzata Negli Impianti Fotovoltaici Ricerchiamo Un

    PROJECT DEVELOPER

    Principali Attività

    • Sviluppatore di progetti per impianti fotovoltaici su scala industriale su terreni grezzi.
    • Supervisione/esecuzione dell'intero processo di autorizzazione fino allo stato di pronto per la costruzione, collaborazione con i Construction Manager fino al raggiungimento della data di operatività commerciale.

    ESPERIENZA, COMPETENZE E QUALIFICHE RICHIESTE

    • Lingue: inglese essenziale - la padronanza del francese sarebbe un vantaggio;
    • Laurea triennale in economia, ingegneria o campo correlato
    • Progressa esperienza nello sviluppo di progetti di impianti fotovoltaici su scala industriale su terreni grezzi in Italia e familiarità con il processo di autorizzazione, dal greenfield fino alla costruzione
    • Buona conoscenza di tutte le parti del settore delle energie rinnovabili, del ciclo di sviluppo fotovoltaico ed esperienza nella negoziazione di accordi e contratti e nel rapporto con le pubbliche amministrazioni e i gestori di rete (GSE, Enel, Terna ecc.);
    • Familiarità con tutte le attività/procedure di autorizzazione italiane relative al raggiungimento dello stato di pronto per la costruzione dell'impianto fotovoltaico e delle infrastrutture di connessione alla rete, nonché al raggiungimento di potenziali tariffe di immissione;
    • Ottime capacità di comunicazione e presentazione, sia scritte che verbali.

    SEDE: ROMA

    Wyser è il brand globale che si occupa di ricerca e selezione di profili manageriali ed executive di Gi Group Holding, la prima multinazionale italiana del lavoro e una tra le principali realtà che offrono servizi e consulenza HR a livello globale. I candidati ambosessi (D.lgs. n. 198/2006), sono invitati a leggere l’informativa privacy ai sensi degli artt. 13 e 14 del Reg. EU 679/2016 al seguente indirizzo: https://it.wyser-search.com/privacy-policy/

    Wyser (Aut. Min. del 15/04/2014 Prot. N: 39/4903)

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +3988541482,https://it.linkedin.com/jobs/view/nutrition-analyst-data-science-at-world-food-programme-3988541482?position=44&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=c0wTY3WHGru%2Fkz6SIqO8nQ%3D%3D&trk=public_jobs_jserp-result_search-card,Nutrition Analyst (Data Science),World Food Programme,"Rome, Latium, Italy","DEADLINE FOR APPLICATIONS + +28 August 2024-23:59-GMT+01:00 Central European Time (Rome) + +WFP celebrates and embraces diversity. It is committed to the principle of equal employment opportunity for all its employees and encourages qualified candidates to apply irrespective of race, colour, national origin, ethnic or social background, genetic information, gender, gender identity and/or expression, sexual orientation, religion or belief, HIV status or disability. + +Are you interested in further developing your professional experience while contributing to ending global hunger? Are you passionate about helping those in need? Would you like to join a global organization investing in its people? + +If so, an exciting & fulfilling career awaits you!!! Join our diverse and passionate team that works on varied and international projects directly contributing to saving & changing millions of lives around the globe. + +About Wfp + +The United Nations World Food Programme (WFP), a highly prestigious, reputable & world’s largest humanitarian organization, saving lives in emergencies and using food assistance to build a pathway to peace, stability and prosperity for people recovering from conflict, disasters and the impact of climate change. + +At WFP, people are at the heart of everything we do and the vision of the future WFP workforce is one of diverse, committed, skilled, and high performing teams, selected on merit, operating in a healthy and inclusive work environment, living WFP's values (Integrity, Collaboration, Commitment, Humanity, and Inclusion) and working with partners to save and change the lives of those WFP serves. + +To learn more about WFP, visit our website: https://www.wfp.org and follow us on social media to keep up with our latest news: YouTube, LinkedIn, Instagram, Facebook, Twitter. + +WHY JOIN WFP? + + +WFP is a 2020 Nobel Peace Prize Laureate. +WFP offers a highly inclusive, diverse, and multicultural working environment. +WFP invests in the personal & professional development of its employees through a range of training, accreditation, coaching, mentorship, and other programs as well as through internal mobility opportunities. +A career path in WFP provides an exciting opportunity to work across the various country, regional and global offices around the world, and with passionate colleagues who work tirelessly to ensure that effective humanitarian assistance reaches millions of people across the globe. +We offer an attractive compensation package (please refer to the Terms and Conditions section of this vacancy announcement). + + +Background And Purpose Of The Assignment + +The UN World Food Programme (WFP) is one of the leading global institutions helping to measure and alleviate malnutrition. WFP supports national food and health systems across more than 80 countries as they strive to provide access, safely and systematically, to healthy, nutritious diets and reduce micronutrient deficiencies in women, children and the population at large. A key part of this work is the generation of data on food and nutrition security and status, dietary diversity and access to nutritious foods and nutritious diets, including food costs and expenditure, and using these data to highlight where there are risks of insufficiencies, by target group, geography or vulnerability, reflected as hunger (insufficient dietary energy and coping strategies), unaffordability of nutrient-adequate diets, inadequate dietary diversity, risk of inadequate micronutrient intake and likelihood of micronutrient deficiencies. + +When households, and specific household members, are unable to meet their dietary micronutrient needs due to physical, financial or sociological barriers, it becomes necessary to consider additional pathways that can safeguard against micronutrient malnutrition. Large-Scale Food Fortification (LSFF) is a powerful, cost-effective intervention for improving micronutrient intake that can be adapted to many food vehicles and contexts and delivered through different platforms, including both conventional commercial markets and food assistance, including school meals and social protection programs. WFP has long been involved in efforts to expand the scope and impact of LSFF. + +Advocacy and decision making about LSFF and other micronutrient intervention programmes and policy, especially about whether, where, what, how and for whom to advocate for and implement such initiatives, require evidence. This includes information on micronutrient deficiencies and dietary intake for different populations, the likelihood that current diets are able to meet the recommended requirements for key vitamins and minerals and current intake of fortifiable foods among specific sub-groups of the population. They also require information about the extent to which different LSFF programmes, programme delivery scenarios, and other micronutrient interventions could assist in filling nutrient intake gaps for key populations. Such evidence is imperative to inform decisions across the LSFF ecosystem, including policy formulation, setting standards and determining whether LSFF is having an impact, in general, and with particular emphasis on those who are most vulnerable, with a focus on gender. However, due to cost, time needed and complexity of primary data collection on vitamin and mineral deficiency (VMD) and dietary intake, there are still many gaps in data needed to quantify the problem, e.g., magnitude and distribution of micronutrient malnutrition and nutrient inadequacy, as well as food consumption patterns within a population, required for proper program design and exploration of new cost-effective vehicles and entry points for fortification. Further, existing data or methods of obtaining data are limited in their ability to describe dimensions of intake inadequacy related to vulnerability in terms of gender, age, geography, biological status and illness. + +The WFP specialises in uses of innovative data approaches to support governments make informed decisions about the design and effective implementation of food security and nutrition policy and programs, including the integration of nutrition objectives across food systems - to achieve maximum impact. WFP’s HungerMapLive is widely-used to inform humanitarian programming and food security situation monitoring. HungerMapLive displays real-time information on food insecurity, nutrition and various relevant drivers using primary data collected using remote monitoring, estimates generated using machine learning-based predictive analytics and publicly available secondary data pulled automatically through APIs. The use of innovative methods to use existing data to estimate or predict the risk of dietary vitamin and mineral deficiencies and the potential of different programs, including LSFF, to fill nutrient gaps can support programme and policy decision-makers from national governments and other stakeholders. This activity brings together the analytical and government technical assistance expertise of the Nutrition and Food Quality Service, and data collection and visualisation experience from the HungerMapLive Team. + +About The Team + +WFP’s Modelling and Mapping risk of Inadequate Micronutrient Intake (MIMI) approach generates and increases access to modeled data on risk of inadequate micronutrient intake at national and sub-national levels, which is critical to advocate for and inform the design and roll-out of large-scale food fortification as well as other micronutrient interventions and complementary programs. + +Specifically, MIMI works with academic and policy partners to develop innovative methods for modelling the risk of inadequate dietary micronutrient intake and the extent to which large scale food fortification (LSFF) (of different commodities and fortified according to different specifications) could reduce risk, to inform policy decision-making and advocacy. MIMI’s estimated and predictive analytical models use secondary data on food supply, food consumption and expenditure, socioeconomic status and climate, among others, and allow exploration of nutritional vulnerability by geography, gender and socioeconomic characteristics. To date, methods have been validated against dietary consumption and micronutrient status data in three countries. The outputs have been developed into inputs to display on interactive sub-national maps, with the support of WFP’s Hunger MapLive Team. Importantly, the team are engaging with stakeholders in each of the focus geographies to support and document the application, validation and uptake of modelled evidence to inform policy and advocacy and document the process. The initiative overall has benefited from WFP’s in-country presence and partnerships with the relevant academic and civil society partners, among other stakeholders, to promote transparency, provide a forum for discussion, maximize stakeholder involvement at the global-level, incorporate the views of potential end users at the country level and build community acceptance. + +Between 2024 and 2026, MIMI will expand evidence generation and stakeholder engagement activities to an additional eight countries and explore the potential of integrating WFP’s real-time data monitoring into the modelling and analysis. The advertised position reflects work to be undertaken under this new phase. + +Purpose Of The Assignment + +The Nutrition Analyst (Data Science) will play a critical role in the MIMI team, within the WFP Nutrition and Food Quality Service. Under the supervision of the MIMI Team Lead, and working as part of a dynamic, multidisciplinary team of nutritionists, data scientists, policy and advocacy specialists, this position will contribute to the development and application of analytical methods, data analysis and data visualization, and engage meaningfully and present outputs to diverse stakeholders at the country- and global-level. The Nutrition Analyst will bring knowledge in statistics or data science and technical expertise in the analysis, modelling and visualization of nutrition and food consumption or expenditure data, especially data from Household Consumption and Expenditure Surveys to estimate food and nutrient intake and inform LSFF and other nutrition programmes and policy. The Nutrition Analyst will also have a role in building systems to access diverse data across multiple country contexts, maintaining code management infrastructure and methods documentation, and developing guidance for users of these outputs. + +Accountabilities/Responsibilities + + +Map and explore data and indicators relevant to the estimation of the risk of dietary micronutrient inadequacy +Collate, clean and process national survey datasets for 3-6 countries. +Work collaboratively with team members, and analytical partners to refine and test methods to estimate the risk of inadequate micronutrient intake and conduct analysis for 3-6 countries. +Contribute to thought leadership on the development and application of analytical models to test the potential contribution of fortification and other micronutrient interventions to reducing risk of inadequate micronutrient intake. +Build robust and secure data systems to streamline access to multiple diverse data types from several country contexts +Develop code management infrastructure with clearly documented indices and guidance notes for team members and future users. +Engage with, present specific analytical methods and findings to and participate in technical-level discussions with analytical partners and stakeholders at the global-level and in diverse countries. +Support the development of evidence outputs and data visualisations based on user feedback, including preparing outputs for the HungerMapLive. +Prepare and participate in dissemination and policy implementation activities to in-country stakeholders, led by WFP Country Offices. +Prepare for and provide training and other capacity strengthening activities on the methods developed and use of household consumption data to estimate micronutrient risk, as relevant. +Lead or contribute to the drafting of academic manuscripts for submission to peer-reviewed journals. +Participate in field missions to focus countries and WFP country offices, as required. +Presentation at academic webinars or conferences, as relevant. + + +Deliverables At The End Of The Contract + + +Analysis of data inputs from 1-3 countries to estimate risk of inadequate intake of individual micronutrients and micronutrients overall. +Intervention modelling for 1-3 countries to estimate the contribution of different micronutrient interventions to reducing the risk of inadequate micronutrient intake. +Data inputs for visualisation on the HungerMapLive platform for at least three countries. +Relevant analysis, synthesis and thematic presentations and publications developed. +Relevant and useful GitHub repository and data infrastructure developed. +Presentation of methodology and results to diverse stakeholders nationally and internationally. +Development of peer-reviewed articles, topic briefs and other external-facing materials as required to present methodology, analysis and validation of results. + + +Education + +QUALIFICATIONS & EXPERIENCE REQUIRED: + + +Masters degree or higher in Data Science, Epidemiology, Medical Statistics or a related field. + + +Experience + + +3-4 years work experience, some of that on informing health or nutrition programmes a plus. +Experience supporting research projects or analyses with diverse stakeholders and data inputs, including research design, data analysis and write up. +Familiarity cleaning, merging and processing large, complex datasets, ideally Household Consumption and Expenditure Surveys. +Experience analysing primary and secondary data. +Experience with version control systems (Git) and relevant collaboration tools (issue trackers, shared repositories, etc.) +Experience presenting analysis findings to diverse audiences, including government stakeholders, programme staff and academic partners, in a digestible and context-relevant format. +Demonstrated ability to work effectively in a team environment, especially with colleagues from diverse backgrounds. + + +Knowledge & Skills + + +Proficient in the analysis of large quantitative data sets using R statistical software +Analytical and problem-solving skills, with a strong solution and action orientation. +Flexibility, sound interpersonal skills and cross-cultural sensitivity. + + +Languages + + +Advanced professional level of written and spoken English +Professional knowledge of French an asset. + + +WFP LEADERSHIP FRAMEWORK + +WFP Leadership Framework guides to the common standards of behavior that guide HOW we work together to accomplish our mission. + +Click here to access WFP Leadership Framework + +REASONABLE ACCOMMODATION + +WFP is dedicated to fostering diversity, equity, and inclusion. Our recruitment process is inclusively crafted to welcome candidates of all backgrounds, celebrating diversity and ensuring a respectful environment for all. We aim for an accessible and fair recruitment journey. Should you need any reasonable accommodations or have accessibility concerns, please reach out to us confidentially at global.inclusion@wfp.org. Our DEI team is here to ensure your full participation in our recruitment process. + +NO FEE DISCLAIMER + +The United Nations does not charge any application, processing, training, interviewing, testing or other fee in connection with the application or recruitment process. Should you receive a solicitation for the payment of a fee, please disregard it. Furthermore, please note that emblems, logos, names and addresses are easily copied and reproduced. Therefore, you are advised to apply particular care when submitting personal information on the web. + +REMINDERS BEFORE YOU SUBMIT YOUR APPLICATION + + +We strongly recommend that your profile is accurate, complete, and includes your employment records, academic qualifications, language skills and UN Grade (if applicable). +Once your profile is completed, please apply, and submit your application. +Please make sure you upload your professional CV in the English language +Kindly note the only documents you will need to submit at this time are your CV and Cover Letter +Additional documents such as passport, recommendation letters, academic certificates, etc. may potentially be requested at a future time +Please contact us at wfprecruitment@wfp.org in case you face any challenges with submitting your application +Only shortlisted candidates will be notified + + +All employment decisions are made on the basis of organizational needs, job requirements, merit, and individual qualifications. WFP is committed to providing an inclusive work environment free of sexual exploitation and abuse, all forms of discrimination, any kind of harassment, sexual harassment, and abuse of authority. Therefore, all selected candidates will undergo rigorous reference and background checks. + +No appointment under any kind of contract will be offered to members of the UN Advisory Committee on Administrative and Budgetary Questions (ACABQ), International Civil Service Commission (ICSC), FAO Finance Committee, WFP External Auditor, WFP Audit Committee, Joint Inspection Unit (JIU) and other similar bodies within the United Nations system with oversight responsibilities over WFP, both during their service and within three years of ceasing that service. +Show more ","
    + + + + + +
    +
    + DEADLINE FOR APPLICATIONS

    28 August 2024-23:59-GMT+01:00 Central European Time (Rome)

    WFP celebrates and embraces diversity. It is committed to the principle of equal employment opportunity for all its employees and encourages qualified candidates to apply irrespective of race, colour, national origin, ethnic or social background, genetic information, gender, gender identity and/or expression, sexual orientation, religion or belief, HIV status or disability.

    Are you interested in further developing your professional experience while contributing to ending global hunger? Are you passionate about helping those in need? Would you like to join a global organization investing in its people?

    If so, an exciting & fulfilling career awaits you!!! Join our diverse and passionate team that works on varied and international projects directly contributing to saving & changing millions of lives around the globe.

    About Wfp

    The United Nations World Food Programme (WFP), a highly prestigious, reputable & world’s largest humanitarian organization, saving lives in emergencies and using food assistance to build a pathway to peace, stability and prosperity for people recovering from conflict, disasters and the impact of climate change.

    At WFP, people are at the heart of everything we do and the vision of the future WFP workforce is one of diverse, committed, skilled, and high performing teams, selected on merit, operating in a healthy and inclusive work environment, living WFP's values (Integrity, Collaboration, Commitment, Humanity, and Inclusion) and working with partners to save and change the lives of those WFP serves.

    To learn more about WFP, visit our website: https://www.wfp.org and follow us on social media to keep up with our latest news: YouTube, LinkedIn, Instagram, Facebook, Twitter.

    WHY JOIN WFP?

    • WFP is a 2020 Nobel Peace Prize Laureate.
    • WFP offers a highly inclusive, diverse, and multicultural working environment.
    • WFP invests in the personal & professional development of its employees through a range of training, accreditation, coaching, mentorship, and other programs as well as through internal mobility opportunities.
    • A career path in WFP provides an exciting opportunity to work across the various country, regional and global offices around the world, and with passionate colleagues who work tirelessly to ensure that effective humanitarian assistance reaches millions of people across the globe.
    • We offer an attractive compensation package (please refer to the Terms and Conditions section of this vacancy announcement).

    Background And Purpose Of The Assignment

    The UN World Food Programme (WFP) is one of the leading global institutions helping to measure and alleviate malnutrition. WFP supports national food and health systems across more than 80 countries as they strive to provide access, safely and systematically, to healthy, nutritious diets and reduce micronutrient deficiencies in women, children and the population at large. A key part of this work is the generation of data on food and nutrition security and status, dietary diversity and access to nutritious foods and nutritious diets, including food costs and expenditure, and using these data to highlight where there are risks of insufficiencies, by target group, geography or vulnerability, reflected as hunger (insufficient dietary energy and coping strategies), unaffordability of nutrient-adequate diets, inadequate dietary diversity, risk of inadequate micronutrient intake and likelihood of micronutrient deficiencies.

    When households, and specific household members, are unable to meet their dietary micronutrient needs due to physical, financial or sociological barriers, it becomes necessary to consider additional pathways that can safeguard against micronutrient malnutrition. Large-Scale Food Fortification (LSFF) is a powerful, cost-effective intervention for improving micronutrient intake that can be adapted to many food vehicles and contexts and delivered through different platforms, including both conventional commercial markets and food assistance, including school meals and social protection programs. WFP has long been involved in efforts to expand the scope and impact of LSFF.

    Advocacy and decision making about LSFF and other micronutrient intervention programmes and policy, especially about whether, where, what, how and for whom to advocate for and implement such initiatives, require evidence. This includes information on micronutrient deficiencies and dietary intake for different populations, the likelihood that current diets are able to meet the recommended requirements for key vitamins and minerals and current intake of fortifiable foods among specific sub-groups of the population. They also require information about the extent to which different LSFF programmes, programme delivery scenarios, and other micronutrient interventions could assist in filling nutrient intake gaps for key populations. Such evidence is imperative to inform decisions across the LSFF ecosystem, including policy formulation, setting standards and determining whether LSFF is having an impact, in general, and with particular emphasis on those who are most vulnerable, with a focus on gender. However, due to cost, time needed and complexity of primary data collection on vitamin and mineral deficiency (VMD) and dietary intake, there are still many gaps in data needed to quantify the problem, e.g., magnitude and distribution of micronutrient malnutrition and nutrient inadequacy, as well as food consumption patterns within a population, required for proper program design and exploration of new cost-effective vehicles and entry points for fortification. Further, existing data or methods of obtaining data are limited in their ability to describe dimensions of intake inadequacy related to vulnerability in terms of gender, age, geography, biological status and illness.

    The WFP specialises in uses of innovative data approaches to support governments make informed decisions about the design and effective implementation of food security and nutrition policy and programs, including the integration of nutrition objectives across food systems - to achieve maximum impact. WFP’s HungerMapLive is widely-used to inform humanitarian programming and food security situation monitoring. HungerMapLive displays real-time information on food insecurity, nutrition and various relevant drivers using primary data collected using remote monitoring, estimates generated using machine learning-based predictive analytics and publicly available secondary data pulled automatically through APIs. The use of innovative methods to use existing data to estimate or predict the risk of dietary vitamin and mineral deficiencies and the potential of different programs, including LSFF, to fill nutrient gaps can support programme and policy decision-makers from national governments and other stakeholders. This activity brings together the analytical and government technical assistance expertise of the Nutrition and Food Quality Service, and data collection and visualisation experience from the HungerMapLive Team.

    About The Team

    WFP’s Modelling and Mapping risk of Inadequate Micronutrient Intake (MIMI) approach generates and increases access to modeled data on risk of inadequate micronutrient intake at national and sub-national levels, which is critical to advocate for and inform the design and roll-out of large-scale food fortification as well as other micronutrient interventions and complementary programs.

    Specifically, MIMI works with academic and policy partners to develop innovative methods for modelling the risk of inadequate dietary micronutrient intake and the extent to which large scale food fortification (LSFF) (of different commodities and fortified according to different specifications) could reduce risk, to inform policy decision-making and advocacy. MIMI’s estimated and predictive analytical models use secondary data on food supply, food consumption and expenditure, socioeconomic status and climate, among others, and allow exploration of nutritional vulnerability by geography, gender and socioeconomic characteristics. To date, methods have been validated against dietary consumption and micronutrient status data in three countries. The outputs have been developed into inputs to display on interactive sub-national maps, with the support of WFP’s Hunger MapLive Team. Importantly, the team are engaging with stakeholders in each of the focus geographies to support and document the application, validation and uptake of modelled evidence to inform policy and advocacy and document the process. The initiative overall has benefited from WFP’s in-country presence and partnerships with the relevant academic and civil society partners, among other stakeholders, to promote transparency, provide a forum for discussion, maximize stakeholder involvement at the global-level, incorporate the views of potential end users at the country level and build community acceptance.

    Between 2024 and 2026, MIMI will expand evidence generation and stakeholder engagement activities to an additional eight countries and explore the potential of integrating WFP’s real-time data monitoring into the modelling and analysis. The advertised position reflects work to be undertaken under this new phase.

    Purpose Of The Assignment

    The Nutrition Analyst (Data Science) will play a critical role in the MIMI team, within the WFP Nutrition and Food Quality Service. Under the supervision of the MIMI Team Lead, and working as part of a dynamic, multidisciplinary team of nutritionists, data scientists, policy and advocacy specialists, this position will contribute to the development and application of analytical methods, data analysis and data visualization, and engage meaningfully and present outputs to diverse stakeholders at the country- and global-level. The Nutrition Analyst will bring knowledge in statistics or data science and technical expertise in the analysis, modelling and visualization of nutrition and food consumption or expenditure data, especially data from Household Consumption and Expenditure Surveys to estimate food and nutrient intake and inform LSFF and other nutrition programmes and policy. The Nutrition Analyst will also have a role in building systems to access diverse data across multiple country contexts, maintaining code management infrastructure and methods documentation, and developing guidance for users of these outputs.

    Accountabilities/Responsibilities

    • Map and explore data and indicators relevant to the estimation of the risk of dietary micronutrient inadequacy
    • Collate, clean and process national survey datasets for 3-6 countries.
    • Work collaboratively with team members, and analytical partners to refine and test methods to estimate the risk of inadequate micronutrient intake and conduct analysis for 3-6 countries.
    • Contribute to thought leadership on the development and application of analytical models to test the potential contribution of fortification and other micronutrient interventions to reducing risk of inadequate micronutrient intake.
    • Build robust and secure data systems to streamline access to multiple diverse data types from several country contexts
    • Develop code management infrastructure with clearly documented indices and guidance notes for team members and future users.
    • Engage with, present specific analytical methods and findings to and participate in technical-level discussions with analytical partners and stakeholders at the global-level and in diverse countries.
    • Support the development of evidence outputs and data visualisations based on user feedback, including preparing outputs for the HungerMapLive.
    • Prepare and participate in dissemination and policy implementation activities to in-country stakeholders, led by WFP Country Offices.
    • Prepare for and provide training and other capacity strengthening activities on the methods developed and use of household consumption data to estimate micronutrient risk, as relevant.
    • Lead or contribute to the drafting of academic manuscripts for submission to peer-reviewed journals.
    • Participate in field missions to focus countries and WFP country offices, as required.
    • Presentation at academic webinars or conferences, as relevant.

    Deliverables At The End Of The Contract

    • Analysis of data inputs from 1-3 countries to estimate risk of inadequate intake of individual micronutrients and micronutrients overall.
    • Intervention modelling for 1-3 countries to estimate the contribution of different micronutrient interventions to reducing the risk of inadequate micronutrient intake.
    • Data inputs for visualisation on the HungerMapLive platform for at least three countries.
    • Relevant analysis, synthesis and thematic presentations and publications developed.
    • Relevant and useful GitHub repository and data infrastructure developed.
    • Presentation of methodology and results to diverse stakeholders nationally and internationally.
    • Development of peer-reviewed articles, topic briefs and other external-facing materials as required to present methodology, analysis and validation of results.

    Education

    QUALIFICATIONS & EXPERIENCE REQUIRED:

    • Masters degree or higher in Data Science, Epidemiology, Medical Statistics or a related field.

    Experience

    • 3-4 years work experience, some of that on informing health or nutrition programmes a plus.
    • Experience supporting research projects or analyses with diverse stakeholders and data inputs, including research design, data analysis and write up.
    • Familiarity cleaning, merging and processing large, complex datasets, ideally Household Consumption and Expenditure Surveys.
    • Experience analysing primary and secondary data.
    • Experience with version control systems (Git) and relevant collaboration tools (issue trackers, shared repositories, etc.)
    • Experience presenting analysis findings to diverse audiences, including government stakeholders, programme staff and academic partners, in a digestible and context-relevant format.
    • Demonstrated ability to work effectively in a team environment, especially with colleagues from diverse backgrounds.

    Knowledge & Skills

    • Proficient in the analysis of large quantitative data sets using R statistical software
    • Analytical and problem-solving skills, with a strong solution and action orientation.
    • Flexibility, sound interpersonal skills and cross-cultural sensitivity.

    Languages

    • Advanced professional level of written and spoken English
    • Professional knowledge of French an asset.

    WFP LEADERSHIP FRAMEWORK

    WFP Leadership Framework guides to the common standards of behavior that guide HOW we work together to accomplish our mission.

    Click here to access WFP Leadership Framework

    REASONABLE ACCOMMODATION

    WFP is dedicated to fostering diversity, equity, and inclusion. Our recruitment process is inclusively crafted to welcome candidates of all backgrounds, celebrating diversity and ensuring a respectful environment for all. We aim for an accessible and fair recruitment journey. Should you need any reasonable accommodations or have accessibility concerns, please reach out to us confidentially at global.inclusion@wfp.org. Our DEI team is here to ensure your full participation in our recruitment process.

    NO FEE DISCLAIMER

    The United Nations does not charge any application, processing, training, interviewing, testing or other fee in connection with the application or recruitment process. Should you receive a solicitation for the payment of a fee, please disregard it. Furthermore, please note that emblems, logos, names and addresses are easily copied and reproduced. Therefore, you are advised to apply particular care when submitting personal information on the web.

    REMINDERS BEFORE YOU SUBMIT YOUR APPLICATION

    • We strongly recommend that your profile is accurate, complete, and includes your employment records, academic qualifications, language skills and UN Grade (if applicable).
    • Once your profile is completed, please apply, and submit your application.
    • Please make sure you upload your professional CV in the English language
    • Kindly note the only documents you will need to submit at this time are your CV and Cover Letter
    • Additional documents such as passport, recommendation letters, academic certificates, etc. may potentially be requested at a future time
    • Please contact us at wfprecruitment@wfp.org in case you face any challenges with submitting your application
    • Only shortlisted candidates will be notified

    All employment decisions are made on the basis of organizational needs, job requirements, merit, and individual qualifications. WFP is committed to providing an inclusive work environment free of sexual exploitation and abuse, all forms of discrimination, any kind of harassment, sexual harassment, and abuse of authority. Therefore, all selected candidates will undergo rigorous reference and background checks.

    No appointment under any kind of contract will be offered to members of the UN Advisory Committee on Administrative and Budgetary Questions (ACABQ), International Civil Service Commission (ICSC), FAO Finance Committee, WFP External Auditor, WFP Audit Committee, Joint Inspection Unit (JIU) and other similar bodies within the United Nations system with oversight responsibilities over WFP, both during their service and within three years of ceasing that service. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3993453221,https://it.linkedin.com/jobs/view/senior-ai-engineer-at-bip-3993453221?position=45&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=Fy%2BWhVrMNYLygoeOpkpfFQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior AI Engineer,BIP,"Rome, Latium, Italy"," + +SENIOR AI ENGINEER + +Entra nel nostro mondo. + +Trasforma insieme a noi. + +Quale sarà la tua sfida? + +Il nostro team di Artificial Intelligence Engineering si impegna a supportare i clienti nel percorso di adozione dell’intelligenza artificiale attraverso la realizzazione di factory di soluzioni di AI, azionabili e integrate nell'architettura e nei processi aziendali. + +La figura dell’AI Engineer progetta soluzioni software di Machine Learning (ML) scalabili per i casi d'uso dei clienti e le industrializza per l’esecuzione in produzione garantendo i livelli richiesti di performance, sicurezza e governabilità. + +L’AI Engineer lavora a stretto contatto con altre figure di Bip xTech, come Cloud Data Architect, Data Scientist e Data Engineer, per realizzare soluzioni AI di alta qualità sotto ogni aspetto, disegnando e implementando: piattaforme MLOps, architetture dati e AI, modelli di AI, applicazioni e altro ancora. + +L’AI Engineer inoltre contribuirà alla Bip xTech Data Community con attività di ricerca, scouting tecnologico, concept di nuove soluzioni e sviluppo del business sui clienti di BIP. + +Sarai tu a entrare nel nostro team?  + +Requisiti fondamentali + + +Laurea specialistica in Ingegneria Informatica, Data Science, Informatica o discipline affini (STEM). +Esperienza pregressa di almeno 5 anni nello sviluppo di software in almeno un linguaggio, come per esempio: Python, Scala, e/o simili. +Esperienza nel disegno di soluzioni software e nell’implementazione di strutture dati, algoritmi. +Esperienza nell’utilizzo degli strumenti di Code Repository e CI/CD. +Conoscenza di framework di versionamento di dati e/o modelli (esempio: MLFlow, DVC, WanDB…). +Conoscenza dei concetti, algoritmi e metodologie di Machine Learning e Gen AI. +Esperienza con linguaggi SQL per il design, query e gestione dei database; esperienza nell’utilizzo di linguaggi SQL per le attività di ETL; +Esperienza in attività di coordinamento e crescita di un team o più team di progetto, pre-sales e delivery; +Indispensabile la conoscenza fluente di italiano e inglese professionali. + + +Plus + + +Esperienza nell’utilizzo delle principali piattaforme cloud (esempio: Google, AWS, Azure) e relativi servizi di Cloud Foundation, Data Platform e AI. +Esperienza con tecniche di allenamento e fine-tuning di reti neurali (esempio: superconvergenza, PEFT, LORA…). +Conoscenza di tecniche di semi-supervised e self-supervised learning. +Esperienza con framework di lavoro AGILE (esempio: Scrum, Kanban). + + +Soft Skills: + + +Standing consulenziale +Spiccate doti comunicative e interpersonali +Capacità di collaborazione in team +Flessibilità e stress tolerance nel rispetto delle scadenze +Disponibilità di trasferte in Italia o all’estero + + +Perchè Bip? + +People at the center of our culture + +Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone. + +Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti.  + +Challenge yourself + +Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco. + +Unlocking your potential + +Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti. + +Work-life Integration + +Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration. + +Diversity, Equity & Inclusion + +Valorizziamo l’unicità e ci impegniamo a garantire che tutti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro. + +Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi. + +Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –. + +Next Steps + +Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente. + +Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca. + +L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner. + +L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting. + +In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future. + +Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente. + +Su di Noi + +Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione. + +Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato. + +Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia. + +Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse. + + +Show more ","
    + + + + + +
    +
    +

    SENIOR AI ENGINEER

    Entra nel nostro mondo.

    Trasforma insieme a noi.

    Quale sarà la tua sfida?

    Il nostro team di Artificial Intelligence Engineering si impegna a supportare i clienti nel percorso di adozione dell’intelligenza artificiale attraverso la realizzazione di factory di soluzioni di AI, azionabili e integrate nell'architettura e nei processi aziendali.

    La figura dell’AI Engineer progetta soluzioni software di Machine Learning (ML) scalabili per i casi d'uso dei clienti e le industrializza per l’esecuzione in produzione garantendo i livelli richiesti di performance, sicurezza e governabilità.

    L’AI Engineer lavora a stretto contatto con altre figure di Bip xTech, come Cloud Data Architect, Data Scientist e Data Engineer, per realizzare soluzioni AI di alta qualità sotto ogni aspetto, disegnando e implementando: piattaforme MLOps, architetture dati e AI, modelli di AI, applicazioni e altro ancora.

    L’AI Engineer inoltre contribuirà alla Bip xTech Data Community con attività di ricerca, scouting tecnologico, concept di nuove soluzioni e sviluppo del business sui clienti di BIP.

    Sarai tu a entrare nel nostro team? 

    Requisiti fondamentali
    • Laurea specialistica in Ingegneria Informatica, Data Science, Informatica o discipline affini (STEM).
    • Esperienza pregressa di almeno 5 anni nello sviluppo di software in almeno un linguaggio, come per esempio: Python, Scala, e/o simili.
    • Esperienza nel disegno di soluzioni software e nell’implementazione di strutture dati, algoritmi.
    • Esperienza nell’utilizzo degli strumenti di Code Repository e CI/CD.
    • Conoscenza di framework di versionamento di dati e/o modelli (esempio: MLFlow, DVC, WanDB…).
    • Conoscenza dei concetti, algoritmi e metodologie di Machine Learning e Gen AI.
    • Esperienza con linguaggi SQL per il design, query e gestione dei database; esperienza nell’utilizzo di linguaggi SQL per le attività di ETL;
    • Esperienza in attività di coordinamento e crescita di un team o più team di progetto, pre-sales e delivery;
    • Indispensabile la conoscenza fluente di italiano e inglese professionali.


    Plus
    • Esperienza nell’utilizzo delle principali piattaforme cloud (esempio: Google, AWS, Azure) e relativi servizi di Cloud Foundation, Data Platform e AI.
    • Esperienza con tecniche di allenamento e fine-tuning di reti neurali (esempio: superconvergenza, PEFT, LORA…).
    • Conoscenza di tecniche di semi-supervised e self-supervised learning.
    • Esperienza con framework di lavoro AGILE (esempio: Scrum, Kanban).


    Soft Skills:
    • Standing consulenziale
    • Spiccate doti comunicative e interpersonali
    • Capacità di collaborazione in team
    • Flessibilità e stress tolerance nel rispetto delle scadenze
    • Disponibilità di trasferte in Italia o all’estero


    Perchè Bip?

    People at the center of our culture

    Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone.

    Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti. 

    Challenge yourself

    Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco.

    Unlocking your potential

    Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti.

    Work-life Integration

    Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration.

    Diversity, Equity & Inclusion

    Valorizziamo l’unicità e ci impegniamo a garantire che tutti abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro.

    Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi.

    Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –.

    Next Steps

    Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente.

    Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca.

    L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner.

    L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting.

    In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future.

    Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente.

    Su di Noi

    Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione.

    Grazie a questo percorso siamo oggi oltre 5000 professionisti e professioniste, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato.

    Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia.

    Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono di lavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3969049910,https://it.linkedin.com/jobs/view/senior-ai-developer-roma-dig-at-pwc-italy-3969049910?position=48&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=2QiTaPOyT31NJ0NSc79BNw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior AI Developer - Roma [DIG],PwC Italy,"Rome, Latium, Italy","Your Perspectives + + + + +Entra a far parte del nostro team Digital Innovation - AI Center of Excellence in rapida crescita e partecipa allo sviluppo di rivoluzionarie applicazioni basate su tecnologie di Intelligenza Artificiale. Avrai l’opportunità di: + + + + +Sviluppare progetti basati su algoritmi di intelligenza artificiale, sia per ottimizzazioni dei processi interni o per clienti che integrati in innovative soluzioni software; +Contribuire attivamente alla crescita della nostra struttura dedicata all'Intelligenza Artificiale, in particolare al Natural Language Understanding e alla Computer Vision; +Partecipare al ciclo di vita di un prodotto basato su AI, dall’analisi del business case, al tuning dei modelli, allo sviluppo delle componenti applicative richieste dall’applicazione fino alla realizzazione della User Experience ideale; +Muoverti in un contesto organizzato, dove gli aspetti metodologici e di relazione assumono una rilevanza strategica con respiro internazionale e multiculturale; +Garantire l’erogazione dei deliverables di progetto concordati con il Project Manager di riferimento e con i committenti, in accordo con i vincoli di budget e quality condivisi; +Fornire supporto applicativo a soluzioni basate su moduli di Intelligenza Artificiale, Large Language Models e Computer Vision, sia esistenti che di nuova realizzazione. + + + + +Your unique strengths + + + + +Possiedi una laurea in discipline STEM e almeno un paio di anni di esperienza nel settore; +Hai esperienza nello sviluppo e addestramento di modelli utilizzando tecniche di Machine Learning, Natural Language Processing e Computer Vision, sia a partire dai framework più utilizzati (TensorFlow, PyTorch, Keras, Spark ML, Spark GraphX) che da servizi SaaS (Google Vertex AI, Azure Cognitive Services, OpenAI); +Hai almeno due anni di esperienza nell'utilizzo di Python per lo sviluppo di soluzioni basate su AI e sei interessato a lavorare con Large Language Models come OpenAI e nell’ambito della Computer Vision (utilizzando strumenti di OCR e reti neurali come YoLo); +Hai basi di Semantic Web e conosci l’architettura dei motori di ricerca evoluti (Elastic Search, Solr, Lucene); +Hai utilizzato strutture dati NoSQL (MongoDB o componenti dell'ecosistema Hadoop); +Hai esperienza comprovata di utilizzo di linguaggi di programmazione object oriented come Java/Scala, C++ o Python; +Sei capace di mettere in pratica tecniche di ""Continuous Learning"" al fine di cogliere opportunità da nuove tecnologie senza abbandonarti alla sola attività di ricerca; +Possiedi tecniche di ascolto attivo, capacità di sintesi e di problem solving; +Hai una sviluppata capacità di gestire progettualità in autonomia coordinando risorse più junior ove necessario; +Ti contraddistingui per intraprendenza e curiosità, spiccato senso di responsabilità professionale; +Possiedi una conoscenza avanzata della lingua inglese (parlata e scritta). + + + + + + + +Set your expectation higher + +PwC ti sorprenderà con un’opportunità di carriera che ti farà sentire al centro della società, dell’innovazione e del cambiamento. Il tuo talento e la tua curiosità avranno tutto lo spazio che meritano e, attraverso l’identificazione delle migliori risorse, contribuirai a garantire la qualità dei servizi che offriamo ai nostri clienti. In questo percorso di crescita sarai accompagnato da colleghi esperti e da una formazione continua e su misura grazie alla quale potrai mettere le tue competenze a disposizione dei clienti interni. + + + + +Feel at home + +Ci prendiamo cura delle nostre persone, abbracciando le diversità e creando valore per i clienti, le persone e la comunità, nel rispetto dell'ambiente. GIVE YOUR LIFE A DIFFERENT PERSPECTIVE + +Show more ","
    + + + + + +
    +
    +

    Your Perspectives


    Entra a far parte del nostro team Digital Innovation - AI Center of Excellence in rapida crescita e partecipa allo sviluppo di rivoluzionarie applicazioni basate su tecnologie di Intelligenza Artificiale. Avrai l’opportunità di:


    • Sviluppare progetti basati su algoritmi di intelligenza artificiale, sia per ottimizzazioni dei processi interni o per clienti che integrati in innovative soluzioni software;
    • Contribuire attivamente alla crescita della nostra struttura dedicata all'Intelligenza Artificiale, in particolare al Natural Language Understanding e alla Computer Vision;
    • Partecipare al ciclo di vita di un prodotto basato su AI, dall’analisi del business case, al tuning dei modelli, allo sviluppo delle componenti applicative richieste dall’applicazione fino alla realizzazione della User Experience ideale;
    • Muoverti in un contesto organizzato, dove gli aspetti metodologici e di relazione assumono una rilevanza strategica con respiro internazionale e multiculturale;
    • Garantire l’erogazione dei deliverables di progetto concordati con il Project Manager di riferimento e con i committenti, in accordo con i vincoli di budget e quality condivisi;
    • Fornire supporto applicativo a soluzioni basate su moduli di Intelligenza Artificiale, Large Language Models e Computer Vision, sia esistenti che di nuova realizzazione.


    Your unique strengths


    • Possiedi una laurea in discipline STEM e almeno un paio di anni di esperienza nel settore;
    • Hai esperienza nello sviluppo e addestramento di modelli utilizzando tecniche di Machine Learning, Natural Language Processing e Computer Vision, sia a partire dai framework più utilizzati (TensorFlow, PyTorch, Keras, Spark ML, Spark GraphX) che da servizi SaaS (Google Vertex AI, Azure Cognitive Services, OpenAI);
    • Hai almeno due anni di esperienza nell'utilizzo di Python per lo sviluppo di soluzioni basate su AI e sei interessato a lavorare con Large Language Models come OpenAI e nell’ambito della Computer Vision (utilizzando strumenti di OCR e reti neurali come YoLo);
    • Hai basi di Semantic Web e conosci l’architettura dei motori di ricerca evoluti (Elastic Search, Solr, Lucene);
    • Hai utilizzato strutture dati NoSQL (MongoDB o componenti dell'ecosistema Hadoop);
    • Hai esperienza comprovata di utilizzo di linguaggi di programmazione object oriented come Java/Scala, C++ o Python;
    • Sei capace di mettere in pratica tecniche di ""Continuous Learning"" al fine di cogliere opportunità da nuove tecnologie senza abbandonarti alla sola attività di ricerca;
    • Possiedi tecniche di ascolto attivo, capacità di sintesi e di problem solving;
    • Hai una sviluppata capacità di gestire progettualità in autonomia coordinando risorse più junior ove necessario;
    • Ti contraddistingui per intraprendenza e curiosità, spiccato senso di responsabilità professionale;
    • Possiedi una conoscenza avanzata della lingua inglese (parlata e scritta).



    Set your expectation higher

    PwC ti sorprenderà con un’opportunità di carriera che ti farà sentire al centro della società, dell’innovazione e del cambiamento. Il tuo talento e la tua curiosità avranno tutto lo spazio che meritano e, attraverso l’identificazione delle migliori risorse, contribuirai a garantire la qualità dei servizi che offriamo ai nostri clienti. In questo percorso di crescita sarai accompagnato da colleghi esperti e da una formazione continua e su misura grazie alla quale potrai mettere le tue competenze a disposizione dei clienti interni.


    Feel at home

    Ci prendiamo cura delle nostre persone, abbracciando le diversità e creando valore per i clienti, le persone e la comunità, nel rispetto dell'ambiente. GIVE YOUR LIFE A DIFFERENT PERSPECTIVE

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3993274976,https://it.linkedin.com/jobs/view/junior-mobile-engineer-at-athenaworks-3993274976?position=49&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=E1wkEifGxVn9lyAEjk1abw%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Mobile Engineer,Athenaworks,Greater Rome Metropolitan Area,"We deliver technology to some of the best startups and companies in the world through diverse empowered teams of technologists that want to create change in the digital world. + +We are a female-led organization created to be a safe place for all people from all areas of life. A place where teams are gender-balanced and compensated equally. And a place where careers are unrestrained regardless of cultural, educational, or geographical background. + +We value people with strong technical skills who are collaborative, curious, results-driven, and take ownership. We embrace people who want to be themselves, have daily flexibility, grow, learn, and make a difference wherever the opportunity presents itself. + +Skills + +So we hope this sounds like you because We are looking for an exceptional Junior Mobile Engineer to work on immersive client projects that will challenge your abilities. Ideally, we need you to have business-level English language skills and: + + +Passion for cross-platform mobile technologies, especially Flutter/Dart. +1-2 years of professional experience in mobile development with Flutter/Dart. +Basic knowledge of state management tools like BLoC. +Solid understanding of Object-Oriented Programming (OOP) practices. +Understanding of quality and testing practices, with an interest in automated testing. +Ability to write clean, maintainable code. Strong problem-solving skills and attention to detail. + + +A happy team makes a huge difference, that's why we provide: + +Payment in USD or your local currency + +A truly flexible work schedule + +Holiday and performance bonuses + +An excellent paid time off policy + +4 free Udemy courses a year + +An opportunity for you to help create change in the industry + +And more! + +Athenaworks is an inclusive safe organization that only considers your technical ability, work experience, ability to collaborate, your capacity to grow to the next level of your career, and ability to deliver great work. This means that we also embrace/welcome self-taught people as well! We will NEVER consider any other personal or professional aspects of your life. We hope that you choose to have a conversation with us today and find out what makes us different from any company that you have experienced. +Show more ","
    + + + + + +
    +
    + We deliver technology to some of the best startups and companies in the world through diverse empowered teams of technologists that want to create change in the digital world.

    We are a female-led organization created to be a safe place for all people from all areas of life. A place where teams are gender-balanced and compensated equally. And a place where careers are unrestrained regardless of cultural, educational, or geographical background.

    We value people with strong technical skills who are collaborative, curious, results-driven, and take ownership. We embrace people who want to be themselves, have daily flexibility, grow, learn, and make a difference wherever the opportunity presents itself.

    Skills

    So we hope this sounds like you because We are looking for an exceptional Junior Mobile Engineer to work on immersive client projects that will challenge your abilities. Ideally, we need you to have business-level English language skills and:

    • Passion for cross-platform mobile technologies, especially Flutter/Dart.
    • 1-2 years of professional experience in mobile development with Flutter/Dart.
    • Basic knowledge of state management tools like BLoC.
    • Solid understanding of Object-Oriented Programming (OOP) practices.
    • Understanding of quality and testing practices, with an interest in automated testing.
    • Ability to write clean, maintainable code. Strong problem-solving skills and attention to detail.

    A happy team makes a huge difference, that's why we provide:

    Payment in USD or your local currency

    A truly flexible work schedule

    Holiday and performance bonuses

    An excellent paid time off policy

    4 free Udemy courses a year

    An opportunity for you to help create change in the industry

    And more!

    Athenaworks is an inclusive safe organization that only considers your technical ability, work experience, ability to collaborate, your capacity to grow to the next level of your career, and ability to deliver great work. This means that we also embrace/welcome self-taught people as well! We will NEVER consider any other personal or professional aspects of your life. We hope that you choose to have a conversation with us today and find out what makes us different from any company that you have experienced. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3987999150,https://it.linkedin.com/jobs/view/sr-manager-clinical-scientist-at-pfizer-3987999150?position=50&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=vcmRbY4sS00TWPmc%2B9Ptdw%3D%3D&trk=public_jobs_jserp-result_search-card,"Sr. Manager, Clinical Scientist",Pfizer,"Rome, Latium, Italy","Role Summary + +This position will be housed in the newly formed RWE Platform, which is responsible for establishing scientific global leadership and stature through the generation of integrated, end-to-end observational real-world evidence serving all therapeutic areas and regions. The Platform will: + +enhance Pfizer’s ability to determine unmet medical needs; support current Product Development programs including finding alternatives and accelerated licensure pathways for new indications through the use of Real World Data (RWD), Real World Insights (RWI) and Real World Evidence (RWE); inform clinical practice on appropriate prescription and use of Pfizer’s products; in collaboration with GAV, strengthen the value evidence package for payers and access/policy decision-makers; support measurement of short- and long-term impact of Pfizer’s products to both patients and populations; support competitive differentiation. + +The RWE Platform Clinical Affairs, Clinical Scientist (CS) will provide support and leadership for conduct of observational study execution including epidemiological, non-interventional, pragmatic and low-interventional studies and research collaborations ensuring consistency of approach, conduct, monitoring, analysis, reporting and oversight of core team activities within one or more asset programs in the Therapeutic Area (TA). + +In collaboration with RWE Platform RWE Scientists, Clinical Epidemiology/Scientific Affairs (SA), Medical Affairs (MA), Biostatistics and Clinical Affairs (CA) Operations, the CS is responsible for execution and project management of their studies. The CS will collaborate with other Pfizer groups to execute the hands-on work for both in-house and outsourced studies. The CS will be responsible for numerous observational and epidemiological studies run as Pfizer-sponsored and/or as non-Pfizer sponsored Research Collaborations. + +The CS is a Platform position and may support all types of studies/projects in any region (US, IDM, EM, China) and for Research Divisions (PRD, ORD, VRD) for in scope work. + +As co-lead of the Study Core Team the CS will lead via a matrix organization RWE Platform RWE Scientists/Clinical Epidemiology, QCL, Biostats, Operations, Medical/Scientific Affairs, Regional, Pfizer laboratory assay group, and external team members. The CS also has a strategic role in partnership with RWE Scientist/Clinical Epi/Medical/Scientific Affairs to develop practical study strategies in support of the product Strategic plans (Clinical Development Plan, Medical/Medicines Plans, E2E, Integrated Evidence Plans etc..) in line with Pfizer SOPs. + +Data generated by the RWE Platform is critical to support clinical development planning for Phase 3 efficacy trials (determine incidence/attack rates and risk groups, identify trial sites), secure favorable reimbursement, enhance the label and to satisfy post-licensure effectiveness regulatory commitments + +Role Responsibilities + + +The CS Sr. Manager is responsible for supporting complex or leading low complexity studies across various SOPs: 1) protocol, study design and training, 2) data review and interpretation, 3) study and/or program scientific and integrity oversight, 4) safety review and communication, 5) regulatory document, study report, and publication preparation and review, and 6) clinical study implementation oversight, with a critical focus on consistency (within regions and globally, including common protocols, CRFs, and databases), quality, data integrity, safety, and alignment with company values. +The CS will work in a global environment on studies across all regions including International, Emerging Markets and China. +May represent TA Clinical Affairs line in program-wide functions and governance on Medical Sub Committee, Clinical Study Teams, various department asset teams and Regulatory Strategy teams. Contributes to discussions to ensure consistency across products/TA. +Using knowledge of epidemiologic/observational and specific aspects of trials, provides support of operational strategic partner involvement at a program or study level. Identifies issues in a timely manner, leads implementation of solutions, and/or escalates as appropriate working with Clinical Affairs Lead CS, RWE Scientist, Clinical Epidemiologist/Medical/Scientific Affairs Lead and Partner representatives. +Provides operational input on tactical implementation of studies to support the asset strategies. +Provides CS leadership role in preparation of regulatory submissions and in preparation for program regulatory inspections and audits. +In collaboration with the Clinical Affairs Lead and Clinical Epidemiology/Medical/Scientific Lead, present and discuss data at relevant team, governance, external consultants, KOL and potentially regulatory meetings. +Represents Clinical Affairs and may take the lead on company-wide, global process improvement initiatives, and champions process enhancements and solutions for complex issues. + + +Basic Qualifications + +Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. + + +BA/BS Degree in life sciences or health related field with 5+ years practical experience or MS/MBA with 3+ years, PharmD/PhD 2 years, MD/DO with 1 year +Industry experience in the Clinical Scientist or similar capacity. +Experience working on multinational teams/studies +Has some hands-on experience in epidemiology study design, conduct and analysis. +Has experience in or leading study teams +Has experience working independently and collaborating with multiple functional groups within and outside the business line +Has worked in industry +Has demonstrated an ability working across multiple studies for incorporation of consistent medical/scientific concepts in multiple protocols +Has strong knowledge of the clinical research process and Good Clinical Practices from previous employment experience in the clinical research field +Has independently authored clinical protocols and other clinical study documents +Has working knowledge of statistics, data analysis, and data interpretation +Has experience in managing external vendors for clinical and/or epidemiological study(ies) +Fluent in English writing, reading, and speaking and has exceptional written and oral communication and cross-functional collaborative skills. + + +Preferred Qualifications + + +Has experience in working in a global setting +Is proficient in MS Word, Excel, and PowerPoint +Prior therapeutic area experience + + +Non-standard Work Schedule, Travel Or Environment Requirements + +Position requires travel (10%) both domestic and international. Weekend and evening work likely to be required based on project needs as needed but the exception rather than rule. + +LAST DAY TO APPLY: AUGUST 31st 2024 + +Purpose + +Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives. + +Digital Transformation Strategy + +One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience. + +Flexibility + +We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation! + +Equal Employment Opportunity + +We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees. + +Disability Inclusion + +Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here! + +Medical +Show more ","
    + + + + + +
    +
    + Role Summary

    This position will be housed in the newly formed RWE Platform, which is responsible for establishing scientific global leadership and stature through the generation of integrated, end-to-end observational real-world evidence serving all therapeutic areas and regions. The Platform will:

    enhance Pfizer’s ability to determine unmet medical needs; support current Product Development programs including finding alternatives and accelerated licensure pathways for new indications through the use of Real World Data (RWD), Real World Insights (RWI) and Real World Evidence (RWE); inform clinical practice on appropriate prescription and use of Pfizer’s products; in collaboration with GAV, strengthen the value evidence package for payers and access/policy decision-makers; support measurement of short- and long-term impact of Pfizer’s products to both patients and populations; support competitive differentiation.

    The RWE Platform Clinical Affairs, Clinical Scientist (CS) will provide support and leadership for conduct of observational study execution including epidemiological, non-interventional, pragmatic and low-interventional studies and research collaborations ensuring consistency of approach, conduct, monitoring, analysis, reporting and oversight of core team activities within one or more asset programs in the Therapeutic Area (TA).

    In collaboration with RWE Platform RWE Scientists, Clinical Epidemiology/Scientific Affairs (SA), Medical Affairs (MA), Biostatistics and Clinical Affairs (CA) Operations, the CS is responsible for execution and project management of their studies. The CS will collaborate with other Pfizer groups to execute the hands-on work for both in-house and outsourced studies. The CS will be responsible for numerous observational and epidemiological studies run as Pfizer-sponsored and/or as non-Pfizer sponsored Research Collaborations.

    The CS is a Platform position and may support all types of studies/projects in any region (US, IDM, EM, China) and for Research Divisions (PRD, ORD, VRD) for in scope work.

    As co-lead of the Study Core Team the CS will lead via a matrix organization RWE Platform RWE Scientists/Clinical Epidemiology, QCL, Biostats, Operations, Medical/Scientific Affairs, Regional, Pfizer laboratory assay group, and external team members. The CS also has a strategic role in partnership with RWE Scientist/Clinical Epi/Medical/Scientific Affairs to develop practical study strategies in support of the product Strategic plans (Clinical Development Plan, Medical/Medicines Plans, E2E, Integrated Evidence Plans etc..) in line with Pfizer SOPs.

    Data generated by the RWE Platform is critical to support clinical development planning for Phase 3 efficacy trials (determine incidence/attack rates and risk groups, identify trial sites), secure favorable reimbursement, enhance the label and to satisfy post-licensure effectiveness regulatory commitments

    Role Responsibilities

    • The CS Sr. Manager is responsible for supporting complex or leading low complexity studies across various SOPs: 1) protocol, study design and training, 2) data review and interpretation, 3) study and/or program scientific and integrity oversight, 4) safety review and communication, 5) regulatory document, study report, and publication preparation and review, and 6) clinical study implementation oversight, with a critical focus on consistency (within regions and globally, including common protocols, CRFs, and databases), quality, data integrity, safety, and alignment with company values.
    • The CS will work in a global environment on studies across all regions including International, Emerging Markets and China.
    • May represent TA Clinical Affairs line in program-wide functions and governance on Medical Sub Committee, Clinical Study Teams, various department asset teams and Regulatory Strategy teams. Contributes to discussions to ensure consistency across products/TA.
    • Using knowledge of epidemiologic/observational and specific aspects of trials, provides support of operational strategic partner involvement at a program or study level. Identifies issues in a timely manner, leads implementation of solutions, and/or escalates as appropriate working with Clinical Affairs Lead CS, RWE Scientist, Clinical Epidemiologist/Medical/Scientific Affairs Lead and Partner representatives.
    • Provides operational input on tactical implementation of studies to support the asset strategies.
    • Provides CS leadership role in preparation of regulatory submissions and in preparation for program regulatory inspections and audits.
    • In collaboration with the Clinical Affairs Lead and Clinical Epidemiology/Medical/Scientific Lead, present and discuss data at relevant team, governance, external consultants, KOL and potentially regulatory meetings.
    • Represents Clinical Affairs and may take the lead on company-wide, global process improvement initiatives, and champions process enhancements and solutions for complex issues.

    Basic Qualifications

    Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

    • BA/BS Degree in life sciences or health related field with 5+ years practical experience or MS/MBA with 3+ years, PharmD/PhD 2 years, MD/DO with 1 year
    • Industry experience in the Clinical Scientist or similar capacity.
    • Experience working on multinational teams/studies
    • Has some hands-on experience in epidemiology study design, conduct and analysis.
    • Has experience in or leading study teams
    • Has experience working independently and collaborating with multiple functional groups within and outside the business line
    • Has worked in industry
    • Has demonstrated an ability working across multiple studies for incorporation of consistent medical/scientific concepts in multiple protocols
    • Has strong knowledge of the clinical research process and Good Clinical Practices from previous employment experience in the clinical research field
    • Has independently authored clinical protocols and other clinical study documents
    • Has working knowledge of statistics, data analysis, and data interpretation
    • Has experience in managing external vendors for clinical and/or epidemiological study(ies)
    • Fluent in English writing, reading, and speaking and has exceptional written and oral communication and cross-functional collaborative skills.

    Preferred Qualifications

    • Has experience in working in a global setting
    • Is proficient in MS Word, Excel, and PowerPoint
    • Prior therapeutic area experience

    Non-standard Work Schedule, Travel Or Environment Requirements

    Position requires travel (10%) both domestic and international. Weekend and evening work likely to be required based on project needs as needed but the exception rather than rule.

    LAST DAY TO APPLY: AUGUST 31st 2024

    Purpose

    Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.

    Digital Transformation Strategy

    One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

    Flexibility

    We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!

    Equal Employment Opportunity

    We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

    Disability Inclusion

    Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!

    Medical +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +4002995548,https://it.linkedin.com/jobs/view/software-engineer-python-and-k8s-at-canonical-4002995548?position=51&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=WLRuVTsHMEgZQxqbNu4apA%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer - Python and K8s,Canonical,"Rome, Latium, Italy","Our mission is to reinvent the way companies manage their open source information systems - on public clouds and in their own data centres. To achieve that we are building a new community around Python opscode for open source applications, running on Kubernetes. We want to move all of Canonical and Ubuntu IS onto this new, open source codebase. + +We are confident that we can dramatically improve the experience of running complex business operations - and then we can help our customers embrace those new techniques and products. Traditionally, IS is an inward-facing operation. We would like to transform our IS team into an extension of the product engineering capability at Canonical. Our internal workloads are in many cases the same open source workloads that our customers want to operate. This team will productise those workloads for real-time automated operations on Kubernetes. + +This role is ideal for software engineers who enjoy Python, have a passion for distributed systems, and an interest in the entire Linux stack - from kernel to networking to virtualization and containers. It is a role that requires rigour in both code and customer interactions. Our engineers are technically astute open source enthusiasts who are excited about cloud computing and are ready to join a global team charged with delivering world class services to our customers. + +Strong Python development skills and familiarity with Kubernetes are key requirements of this role. You'll work closely with other teams in Canonical to ensure your products operate reliably, efficiently and scale to production sized workloads for our customers looking to adopt cutting-edge technology. You will participate and be responsible for ensuring sound software architecture and follow best practices in software quality, testing and documentation. + +What you'll do + + +Work in Python to design and deliver open source software operations code +Work across the entire Linux stack, from kernel, networking, storage, to applications +Learn to think rigorously about application and infrastructure reliability +Shape high quality open source monitoring and alerting infrastructure +Simplify open source operations for our customers and open source community +Demonstrate sound engineering design and testing principles in your code +Follow agile software development practices +Coach and develop your colleagues where you have insights +Grow a healthy, collaborative engineering culture in line with company values +Work from home with global travel once or twice a year for up to 2 weeks for events + + +Who you are + + +You love technology and working with brilliant people +You have a Bachelor's or equivalent in Computer Science, STEM or similar degree +You are experienced with Linux systems administration, package management, and operations +You have hands-on experience with at least one public cloud +You are familiar with Docker and Kubernetes +You are an experienced Python programmer and enjoy challenging projects +You understand the importance of reliable software and strive to design and code to that expectation +You are organized and want your team to deliver timely, high quality software + + +About Canonical + +Canonical is a growing international software company that works with the open-source community to deliver Ubuntu, ""the world's best free software platform"". Our mission is to realise the potential of free software in the lives of individuals and organisations. Our services are helping individuals and businesses worldwide to reduce costs, improve efficiency and enhance security with Ubuntu. + +We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration. + +#Stack + + +Show more ","
    + + + + + +
    +
    + Our mission is to reinvent the way companies manage their open source information systems - on public clouds and in their own data centres. To achieve that we are building a new community around Python opscode for open source applications, running on Kubernetes. We want to move all of Canonical and Ubuntu IS onto this new, open source codebase.

    We are confident that we can dramatically improve the experience of running complex business operations - and then we can help our customers embrace those new techniques and products. Traditionally, IS is an inward-facing operation. We would like to transform our IS team into an extension of the product engineering capability at Canonical. Our internal workloads are in many cases the same open source workloads that our customers want to operate. This team will productise those workloads for real-time automated operations on Kubernetes.

    This role is ideal for software engineers who enjoy Python, have a passion for distributed systems, and an interest in the entire Linux stack - from kernel to networking to virtualization and containers. It is a role that requires rigour in both code and customer interactions. Our engineers are technically astute open source enthusiasts who are excited about cloud computing and are ready to join a global team charged with delivering world class services to our customers.

    Strong Python development skills and familiarity with Kubernetes are key requirements of this role. You'll work closely with other teams in Canonical to ensure your products operate reliably, efficiently and scale to production sized workloads for our customers looking to adopt cutting-edge technology. You will participate and be responsible for ensuring sound software architecture and follow best practices in software quality, testing and documentation.

    What you'll do

    • Work in Python to design and deliver open source software operations code
    • Work across the entire Linux stack, from kernel, networking, storage, to applications
    • Learn to think rigorously about application and infrastructure reliability
    • Shape high quality open source monitoring and alerting infrastructure
    • Simplify open source operations for our customers and open source community
    • Demonstrate sound engineering design and testing principles in your code
    • Follow agile software development practices
    • Coach and develop your colleagues where you have insights
    • Grow a healthy, collaborative engineering culture in line with company values
    • Work from home with global travel once or twice a year for up to 2 weeks for events

    Who you are

    • You love technology and working with brilliant people
    • You have a Bachelor's or equivalent in Computer Science, STEM or similar degree
    • You are experienced with Linux systems administration, package management, and operations
    • You have hands-on experience with at least one public cloud
    • You are familiar with Docker and Kubernetes
    • You are an experienced Python programmer and enjoy challenging projects
    • You understand the importance of reliable software and strive to design and code to that expectation
    • You are organized and want your team to deliver timely, high quality software

    About Canonical

    Canonical is a growing international software company that works with the open-source community to deliver Ubuntu, ""the world's best free software platform"". Our mission is to realise the potential of free software in the lives of individuals and organisations. Our services are helping individuals and businesses worldwide to reduce costs, improve efficiency and enhance security with Ubuntu.

    We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration.

    #Stack

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3869608759,https://it.linkedin.com/jobs/view/developer-full-stack-m-f-x-at-bnl-bnp-paribas-3869608759?position=52&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=HAInXdWCB9dul%2BbYF9tXqA%3D%3D&trk=public_jobs_jserp-result_search-card,Developer Full-Stack (m/f/x),BNL BNP Paribas,"Rome, Latium, Italy","Ti piacerebbe lavorare come “Full-Stack Developer” nella Direzione IT di BNL? + +Entrare a far parte di BNL Gruppo BNP Paribas significa lavorare in una delle principali banche italiane, parte di un Gruppo internazionale leader europeo nei servizi bancari e finanziari, presente in più di 64 paesi con circa 184 mila collaboratori. Significa quindi lavorare in un ambiente sfidante, con una cultura internazionale e fortemente orientato all’innovazione. + +Cosa fa la struttura di Digital Channel -Design & Development + +La missione della tribe è di gestire l’evoluzione e la manutenzione dei Canali Digitali della Banca, le applicazioni di CRM e realizzare in modo industriale le capabilities Digitali a supporto dei diversi Customer Journey dei clienti. + +Cosa farai concretamente? + +Parteciperai attivamente alle attività di Quality & Maintenance della Tribe che ha l’obiettivo di : + +Garantire il run delle applicazioni +Migliorare la qualità degli asset e dei relativi servizi offerti ai clienti +Assicurare un allineamento per la gestione delle attività di IT Production e Security + +In particolare dovrai effettuare supporto di secondo livello, interagendo e guidando i team di supporto, gestendo in maniera efficace i ticket di manutenzione entro gli SLA definiti ed applicando la classificazione dei ticket di manutenzione per indirizzare azioni di miglioramento continuo dei processi automatizzati + +Dovrai analizzare i problemi applicativi in produzione ed analizzare le esigenze aziendali per evolvere le applicazioni e i processi esistenti; progettare e sviluppare nuove applicazioni o parti di esse quando richiesto, nonché collaborare all'analisi di nuove soluzioni tecnologiche + +Il/la candidato/a ideale: + + + + +· Ha spiccate capacità di problem solving + +· Lavora bene in gruppo in ottica collaborativa ed è dotato di buona capacità comunicativa + +· E’ abile nella gestione delle anomalie coinvolgendo e coordinando attivamente i diversi interlocutori necessari all’analisi dei ticket e alla risoluzione dei problemi. + +· È abile nella capacità di sintesi e semplificazione + +· Organizza le attività per priorità e gestisce con facilità gli imprevisti + + + + +Il/la candidato/a ideale conosce: + +· Java + +· Java Spring Boot + +· Angular + +· Oracle, + +· IBM Data Stage + +· Lingua Inglese (livello B2) + +inoltre preferita esperienza su: +Splunk +Kubernetes +Hibernate +Junit +Data: PostgresSQL, DB2, MongoDB, Apache Kafka +DEVOPS: jenkins, maven, nexus, sonarQube +Conoscenza di architetture cloud, microservizi, container etc. +Conoscenza di architetture web, applicazioni client/server, servizi API +Processi Devops e continuous integration; +GIT e il processo GitFlow; + + + + +Il background del/la candidato/a ideale: + +· Ha conseguito una laurea nelle discipline STEM o cultura equivalente; + +· Il Full-Stack Developer ha almeno tre/cinque anni di esperienza di analisi e sviluppo, con tre anni di esperienza in attività di progettazione e sviluppo su applicazioni Web, DB e tecnologia client/server, API. + +· Conosce le principali architetture IT Enterprise e i principi fondamentali + +· Conosce e/o ha lavorato con metodologia Agile + +La nostra offerta: + +Il contratto previsto è a tempo indeterminato, la retribuzione segue quanto previsto dal Contratto Collettivo Nazionale del Credito ed è commisurata al livello di esperienza maturata. + + + + +Sede di lavoro + +Roma + +In un mondo che cambia, la diversità e l'inclusione sono valori fondamentali. BNP Paribas offre pari opportunità di lavoro a tutti i candidati idonei e si impegna attivamente a garantire un ambiente di lavoro inclusivo in cui tutte le diversità siano valorizzate. Insieme, costruiamo la banca del domani: innovativa, responsabile e sostenibile. + +Il presente annuncio si rivolge a candidati di ambo i sessi (D.Lgs. 198/2006, Codice Pari Opportunità) + +Show more ","
    + + + + + +
    +
    +

    Ti piacerebbe lavorare come “Full-Stack Developer” nella Direzione IT di BNL?

    Entrare a far parte di BNL Gruppo BNP Paribas significa lavorare in una delle principali banche italiane, parte di un Gruppo internazionale leader europeo nei servizi bancari e finanziari, presente in più di 64 paesi con circa 184 mila collaboratori. Significa quindi lavorare in un ambiente sfidante, con una cultura internazionale e fortemente orientato all’innovazione.

    Cosa fa la struttura di Digital Channel -Design & Development

    La missione della tribe è di gestire l’evoluzione e la manutenzione dei Canali Digitali della Banca, le applicazioni di CRM e realizzare in modo industriale le capabilities Digitali a supporto dei diversi Customer Journey dei clienti.

    Cosa farai concretamente?

    Parteciperai attivamente alle attività di Quality & Maintenance della Tribe che ha l’obiettivo di :

    • Garantire il run delle applicazioni
    • Migliorare la qualità degli asset e dei relativi servizi offerti ai clienti
    • Assicurare un allineamento per la gestione delle attività di IT Production e Security

    In particolare dovrai effettuare supporto di secondo livello, interagendo e guidando i team di supporto, gestendo in maniera efficace i ticket di manutenzione entro gli SLA definiti ed applicando la classificazione dei ticket di manutenzione per indirizzare azioni di miglioramento continuo dei processi automatizzati

    Dovrai analizzare i problemi applicativi in produzione ed analizzare le esigenze aziendali per evolvere le applicazioni e i processi esistenti; progettare e sviluppare nuove applicazioni o parti di esse quando richiesto, nonché collaborare all'analisi di nuove soluzioni tecnologiche

    Il/la candidato/a ideale:


    · Ha spiccate capacità di problem solving

    · Lavora bene in gruppo in ottica collaborativa ed è dotato di buona capacità comunicativa

    · E’ abile nella gestione delle anomalie coinvolgendo e coordinando attivamente i diversi interlocutori necessari all’analisi dei ticket e alla risoluzione dei problemi.

    · È abile nella capacità di sintesi e semplificazione

    · Organizza le attività per priorità e gestisce con facilità gli imprevisti


    Il/la candidato/a ideale conosce:

    · Java

    · Java Spring Boot

    · Angular

    · Oracle,

    · IBM Data Stage

    · Lingua Inglese (livello B2)

    • inoltre preferita esperienza su:
    • Splunk
    • Kubernetes
    • Hibernate
    • Junit
    • Data: PostgresSQL, DB2, MongoDB, Apache Kafka
    • DEVOPS: jenkins, maven, nexus, sonarQube
    • Conoscenza di architetture cloud, microservizi, container etc.
    • Conoscenza di architetture web, applicazioni client/server, servizi API
    • Processi Devops e continuous integration;
    • GIT e il processo GitFlow;


    Il background del/la candidato/a ideale:

    · Ha conseguito una laurea nelle discipline STEM o cultura equivalente;

    · Il Full-Stack Developer ha almeno tre/cinque anni di esperienza di analisi e sviluppo, con tre anni di esperienza in attività di progettazione e sviluppo su applicazioni Web, DB e tecnologia client/server, API.

    · Conosce le principali architetture IT Enterprise e i principi fondamentali

    · Conosce e/o ha lavorato con metodologia Agile

    La nostra offerta:

    Il contratto previsto è a tempo indeterminato, la retribuzione segue quanto previsto dal Contratto Collettivo Nazionale del Credito ed è commisurata al livello di esperienza maturata.


    Sede di lavoro

    Roma

    In un mondo che cambia, la diversità e l'inclusione sono valori fondamentali. BNP Paribas offre pari opportunità di lavoro a tutti i candidati idonei e si impegna attivamente a garantire un ambiente di lavoro inclusivo in cui tutte le diversità siano valorizzate. Insieme, costruiamo la banca del domani: innovativa, responsabile e sostenibile.

    Il presente annuncio si rivolge a candidati di ambo i sessi (D.Lgs. 198/2006, Codice Pari Opportunità)

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3934927933,https://it.linkedin.com/jobs/view/neolaureati-%E2%80%93-cloud-data-engineer-at-ntt-data-italia-3934927933?position=55&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=k9%2F4oQsZcVhIAZn%2F1r7u9Q%3D%3D&trk=public_jobs_jserp-result_search-card,Neolaureati – Cloud Data Engineer,NTT DATA Italia,"Rome, Latium, Italy","Vorresti iniziare la tua carriera professionale in un contesto multinazionale, altamente specializzato ed innovativo? + +Se ti sei appena laureato o stai per laurearti questa potrebbe essere la giusta opportunità per te. + +Siamo NTT DATA, tra i principali player a livello mondiale in ambito IT services. Con più di 151.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura. Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine. Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze. Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento! + +Non è indispensabile avere esperienze pregresse, cerchiamo giovani che abbiano passione, voglia di imparare e crescere insieme al team. + +Verrai inserito/a nel centro di competenza Data & Intelligence, qui con il supporto dei 600 colleghi/e che compongono l’area potrai iniziare il tuo percorso come Cloud Data Engineer trasformando le tue conoscenze accademiche in competenze tecniche. + +Parteciperai a progetti innovativi all’interno di team strutturati in affiancamento a figure senior, in un'ottica di formazione e sviluppo costante. + +Le tecnologie/tematiche che potrai approfondire ricoprendo questo ruolo in NTT DATA sono: + + +Python, Scala, Kafka, Spark, Java; +Databricks +Snowflake +Google Cloud Platform, Microsoft Azure , Amazon Web Services; +Data migration, Datalake, Datawarehouse, Data modeling; +Hadoop, Hive, HDFS, Hbase +Metodologia Agile + + + +Requisiti Richiesti + + +Laurea Informatica/Ingegneria Informatica +Interesse/passione per attività legate allo sviluppo del codice +Conoscenza della lingua inglese + + + +Sedi: Milano, Roma, Napoli, Salerno, Bologna, Bari, +Show more ","
    + + + + + +
    +
    + Vorresti iniziare la tua carriera professionale in un contesto multinazionale, altamente specializzato ed innovativo?

    Se ti sei appena laureato o stai per laurearti questa potrebbe essere la giusta opportunità per te.

    Siamo NTT DATA, tra i principali player a livello mondiale in ambito IT services. Con più di 151.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura. Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine. Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze. Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento!

    Non è indispensabile avere esperienze pregresse, cerchiamo giovani che abbiano passione, voglia di imparare e crescere insieme al team.

    Verrai inserito/a nel centro di competenza Data & Intelligence, qui con il supporto dei 600 colleghi/e che compongono l’area potrai iniziare il tuo percorso come Cloud Data Engineer trasformando le tue conoscenze accademiche in competenze tecniche.

    Parteciperai a progetti innovativi all’interno di team strutturati in affiancamento a figure senior, in un'ottica di formazione e sviluppo costante.

    Le tecnologie/tematiche che potrai approfondire ricoprendo questo ruolo in NTT DATA sono:

    • Python, Scala, Kafka, Spark, Java;
    • Databricks
    • Snowflake
    • Google Cloud Platform, Microsoft Azure , Amazon Web Services;
    • Data migration, Datalake, Datawarehouse, Data modeling;
    • Hadoop, Hive, HDFS, Hbase
    • Metodologia Agile


    Requisiti Richiesti

    • Laurea Informatica/Ingegneria Informatica
    • Interesse/passione per attività legate allo sviluppo del codice
    • Conoscenza della lingua inglese


    Sedi: Milano, Roma, Napoli, Salerno, Bologna, Bari, +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +3986084012,https://it.linkedin.com/jobs/view/software-engineer-at-logistics-reply-3986084012?position=56&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=YITvNcYbYaYfh7xWEsGGJA%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer,Logistics Reply,Greater Rome Metropolitan Area,"Full Stack Developer on Microservices Platform LEA Reply™ + + + + +Logistics Reply Roma is one of the latest Reply companies with a special mission and focus: helping customers complete the digitization and modernization of their logistics services. We specialize in Supply Chain and offer warehouse and distribution management solutions through the innovative microservices-based LEA Reply™ Platform. + + + + +We are looking for a Full Stack Developer with previous experience in the same or similar role who is willing to accept a new challenge and think about the next career step. + +No matter if the technology you are working on is different, we will give you the right tools to become an expert on our platform. The most important thing is your passion for programming! + + + + +You will join our team working on Supply Chain projects for Key Customers from different industries. Logistics is a fundamental service for almost every kind of business in 2023, and this will give you the opportunity to oversee a variety of customers, including Logistic, Postal and parcel Operator, Healthcare, Telco, Utilities, and more. + +This figure will take part of our delivery team for solutions based on LEA Reply™, and it will be a great opportunity to increase your technical skills and contribute to improving our platform with innovative ideas. + + + + +The necessary training will be provided during the onboarding period through: + +Working closely with Senior Full Stack Developers of the company; +Training on LEA Reply™ and logistic context to give you the right fundamentals. + + + + +ABOUT YOUR JOB + +This position includes a lot of opportunities to grow your skills and competencies: + +Deliver improvements on the LEA Reply™ platform, the latest evolution of logistics software: a digital, modular, and cloud-native platform for connected, agile, and visionary supply chains; +Contribute to the whole development lifecycle (analysis, design, development, testing, release management, continuous integration, and delivery) using Java, JavaScript, and Android programming languages; +Work on a solution deployed on AWS Cloud; +Design and develop scalable and resilient applications based on microservices architectures (Web Applications, Mobile applications, large and complex backend systems, Integrations with external systems and technologies); +Proactively bring in your own ideas for our continuous improvement process; +Share knowledge on new technologies, architecture methodologies, standards, leading practices; +Work in an agile (SCRUM approach) and growing team; +Ensure the delivery of top-quality SaaS solutions to our customers. + + + + +ABOUT OUR OFFER: + +The opportunity to join a new Reply startup and to contribute to its growth; +Hybrid working (specific needs can be discussed and addressed); +The chance to work on exciting projects dealing with important customers of various sectors; +Personalized growth path; +Rapid technical and soft skills acquisition, including training on the AWS platform; +Involvement in the complete software lifecycle of new technologies; +Stimulating, young, and cohesive work environment. + + + + +ABOUT LOGISTICS REPLY ROMA + +Logistics Reply Roma is a new startup of the Reply Group, already running its business with a strong customer baseline and a strong team based in Roma. This company is one of the Reply Logistics in the world, with > 200 customers on 5 continents and offices in Italy, the UK, Germany, the USA, and Brazil. + + + + +The possibility of joining this kind of opportunity is not so frequent, and it could just be the right “next step” for you, so don’t hesitate to ask us for more information! + + + + +Apply with your most recent CV. + +Show more ","
    + + + + + +
    +
    +

    Full Stack Developer on Microservices Platform LEA Reply™


    Logistics Reply Roma is one of the latest Reply companies with a special mission and focus: helping customers complete the digitization and modernization of their logistics services. We specialize in Supply Chain and offer warehouse and distribution management solutions through the innovative microservices-based LEA Reply™ Platform.


    We are looking for a Full Stack Developer with previous experience in the same or similar role who is willing to accept a new challenge and think about the next career step.

    No matter if the technology you are working on is different, we will give you the right tools to become an expert on our platform. The most important thing is your passion for programming!


    You will join our team working on Supply Chain projects for Key Customers from different industries. Logistics is a fundamental service for almost every kind of business in 2023, and this will give you the opportunity to oversee a variety of customers, including Logistic, Postal and parcel Operator, Healthcare, Telco, Utilities, and more.

    This figure will take part of our delivery team for solutions based on LEA Reply™, and it will be a great opportunity to increase your technical skills and contribute to improving our platform with innovative ideas.


    The necessary training will be provided during the onboarding period through:

    • Working closely with Senior Full Stack Developers of the company;
    • Training on LEA Reply™ and logistic context to give you the right fundamentals.


    ABOUT YOUR JOB

    This position includes a lot of opportunities to grow your skills and competencies:

    • Deliver improvements on the LEA Reply™ platform, the latest evolution of logistics software: a digital, modular, and cloud-native platform for connected, agile, and visionary supply chains;
    • Contribute to the whole development lifecycle (analysis, design, development, testing, release management, continuous integration, and delivery) using Java, JavaScript, and Android programming languages;
    • Work on a solution deployed on AWS Cloud;
    • Design and develop scalable and resilient applications based on microservices architectures (Web Applications, Mobile applications, large and complex backend systems, Integrations with external systems and technologies);
    • Proactively bring in your own ideas for our continuous improvement process;
    • Share knowledge on new technologies, architecture methodologies, standards, leading practices;
    • Work in an agile (SCRUM approach) and growing team;
    • Ensure the delivery of top-quality SaaS solutions to our customers.


    ABOUT OUR OFFER:

    • The opportunity to join a new Reply startup and to contribute to its growth;
    • Hybrid working (specific needs can be discussed and addressed);
    • The chance to work on exciting projects dealing with important customers of various sectors;
    • Personalized growth path;
    • Rapid technical and soft skills acquisition, including training on the AWS platform;
    • Involvement in the complete software lifecycle of new technologies;
    • Stimulating, young, and cohesive work environment.


    ABOUT LOGISTICS REPLY ROMA

    Logistics Reply Roma is a new startup of the Reply Group, already running its business with a strong customer baseline and a strong team based in Roma. This company is one of the Reply Logistics in the world, with > 200 customers on 5 continents and offices in Italy, the UK, Germany, the USA, and Brazil.


    The possibility of joining this kind of opportunity is not so frequent, and it could just be the right “next step” for you, so don’t hesitate to ask us for more information!


    Apply with your most recent CV.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-28,[] +4007109464,https://it.linkedin.com/jobs/view/data-and-ai-engineer-for-global-p-c-team-at-allianz-italia-4007109464?position=57&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=4VH2RIBOyJ9%2BRWS7IERt3A%3D%3D&trk=public_jobs_jserp-result_search-card,Data and AI Engineer for Global P&C Team,Allianz Italia,"Rome, Latium, Italy","Global P&C is an Allianz SE department established in 2011 as continuation of the Centre of Competence project started in 2005. Its mission is supporting all Allianz P&C Entities to be outstanding in technical excellence by leveraging Allianz Capabilities. The department is organized in 6 teams and Global P&C - Pricing is one of the first team established thus it can count on a solid recognition from the Group and the local entities built on more than 10 years of activity. + +Global P&C Pricing team is responsible for identifying, supporting implementation and ensuring standards, best practices and guidelines for data management, tariff development, portfolio analysis and monitoring. Specifically, the team oversees: + + +Joint projects with the Allianz local entities around the world: we collaborate with local entities on pricing projects concerning mainly technical pricing, behavioural models, price optimization, scenario analysis, development of pricing and portfolio management tools. +Research and development on Data & Analytics and tools to enhance the level of sophistication always considering the business relevance and impact +Knowledge sharing and training of best practices: we design and facilitate P&C Pricing Academy courses to the wide community of pricing analyst of Allianz Group. +Review activities: periodically we review the full pricing process of each local entity to ensure the standardization and harmonization of pricing processes and the implementation of best practices across the group. + + +Key Responsibilities + + +Engage in collaborative efforts with the data science team to comprehend data requirements and develop robust data models, effectively visualizing key data insights for impactful storytelling. +Enhance business processes by proficiently managing the lifecycle of data and AI models, ensuring their relevance and accuracy over time. +Architect, construct, and launch innovative data extraction, transformation, and loading processes to craft data pipelines and dashboards, utilizing advanced object-oriented programming languages and modern web frameworks. +Maintain and improve existing production processes by identifying and implementing optimized, scalable solutions. +Contribute to Research and Development initiatives to discover and integrate cutting-edge technical solutions that propel the organization forward. +Synthesize complex data findings and communicate them clearly, ensuring that both internal and external stakeholders receive understandable and actionable insights. + + +Key Requirements/Skills/Experience + + +Master’s degree in Computer Engineering, Data Engineering, or a closely related field. +Preferably +1-2 years working experience in a Data Engineering role +Knowledge in SQL, ETL processes, data modeling, and programming language (e.g. Python, Julia) +Experience with DataOps practices, contributing to the continuous improvement of data workflows. +Knowledge of Cloud Services including AWS, GCP, Azure, and their application in data engineering tasks. +Familiarity with MLOps concepts and tools like MLFlow to streamline machine learning lifecycle management. +Competent with Linux environments, version control using GIT, and automation tools like Jenkins. +Proficient understanding of both SQL and NoSQL database technologies. +Experience with containerization and orchestration technologies such as Docker and Kubernetes. +Fluency in Italian and English +Excellent communication skills +Willingness to travel internationally for business needs. +International exposure through academic or professional experiences. +Demonstrated ability to work effectively as part of a diverse, multidisciplinary team. + + +48853 | Data & Analytics | Entry Level | Allianz Italy | Full-Time | Permanent + +Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. + +We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. + +We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation. + +Join us. Let's care for tomorrow. + +Both genders may apply in accordance with the L. 903/77 (s.m.i). +Show more ","
    + + + + + +
    +
    + Global P&C is an Allianz SE department established in 2011 as continuation of the Centre of Competence project started in 2005. Its mission is supporting all Allianz P&C Entities to be outstanding in technical excellence by leveraging Allianz Capabilities. The department is organized in 6 teams and Global P&C - Pricing is one of the first team established thus it can count on a solid recognition from the Group and the local entities built on more than 10 years of activity.

    Global P&C Pricing team is responsible for identifying, supporting implementation and ensuring standards, best practices and guidelines for data management, tariff development, portfolio analysis and monitoring. Specifically, the team oversees:

    • Joint projects with the Allianz local entities around the world: we collaborate with local entities on pricing projects concerning mainly technical pricing, behavioural models, price optimization, scenario analysis, development of pricing and portfolio management tools.
    • Research and development on Data & Analytics and tools to enhance the level of sophistication always considering the business relevance and impact
    • Knowledge sharing and training of best practices: we design and facilitate P&C Pricing Academy courses to the wide community of pricing analyst of Allianz Group.
    • Review activities: periodically we review the full pricing process of each local entity to ensure the standardization and harmonization of pricing processes and the implementation of best practices across the group.

    Key Responsibilities

    • Engage in collaborative efforts with the data science team to comprehend data requirements and develop robust data models, effectively visualizing key data insights for impactful storytelling.
    • Enhance business processes by proficiently managing the lifecycle of data and AI models, ensuring their relevance and accuracy over time.
    • Architect, construct, and launch innovative data extraction, transformation, and loading processes to craft data pipelines and dashboards, utilizing advanced object-oriented programming languages and modern web frameworks.
    • Maintain and improve existing production processes by identifying and implementing optimized, scalable solutions.
    • Contribute to Research and Development initiatives to discover and integrate cutting-edge technical solutions that propel the organization forward.
    • Synthesize complex data findings and communicate them clearly, ensuring that both internal and external stakeholders receive understandable and actionable insights.

    Key Requirements/Skills/Experience

    • Master’s degree in Computer Engineering, Data Engineering, or a closely related field.
    • Preferably
    • 1-2 years working experience in a Data Engineering role
    • Knowledge in SQL, ETL processes, data modeling, and programming language (e.g. Python, Julia)
    • Experience with DataOps practices, contributing to the continuous improvement of data workflows.
    • Knowledge of Cloud Services including AWS, GCP, Azure, and their application in data engineering tasks.
    • Familiarity with MLOps concepts and tools like MLFlow to streamline machine learning lifecycle management.
    • Competent with Linux environments, version control using GIT, and automation tools like Jenkins.
    • Proficient understanding of both SQL and NoSQL database technologies.
    • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
    • Fluency in Italian and English
    • Excellent communication skills
    • Willingness to travel internationally for business needs.
    • International exposure through academic or professional experiences.
    • Demonstrated ability to work effectively as part of a diverse, multidisciplinary team.

    48853 | Data & Analytics | Entry Level | Allianz Italy | Full-Time | Permanent

    Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.

    We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.

    We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.

    Join us. Let's care for tomorrow.

    Both genders may apply in accordance with the L. 903/77 (s.m.i). +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +3994778813,https://it.linkedin.com/jobs/view/ruby-developer-at-sogetel-srl-3994778813?position=58&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=vViI7cL%2F0NvIcC0%2Bh6xkGw%3D%3D&trk=public_jobs_jserp-result_search-card,RUBY DEVELOPER,SOGETEL srl,"Latium, Italy","Siamo una digital company che trasforma e migliora il modo in cui le aziende affrontano il mercato. + +Dal 1981 diamo alle imprese la possibilità di accelerare il proprio sviluppo con un pensiero strategico, un approccio pratico e un ampio portafoglio di soluzioni innovative, grazie alle competenze in ambito Data Consulting, Big Data, Data Streaming, Internet of Things, Industry 4.0, Artificial Intelligence e Blockchain. + +Non importa a che punto ti trovi del tuo viaggio. Entrando in Sogetel sarai protagonista di questo cambiamento digitale. + +Posizione: + +Siamo alla ricerca, di un/a Sviluppatore RUBY. L'attività si svolgerà da remoto + +Requisiti: + +Esperienza con Ruby on Rails: Competenze avanzate nel framework Ruby on Rails per lo sviluppo di applicazioni web. + + +Conoscenza di Python: Buone competenze nella programmazione in Python. +Conoscenza di SQL: Capacità di utilizzare SQL per la gestione e l'interrogazione di database. + + +Altre informazioni: + +i/Le candidati/e interessati/e possono inviare il CV, rilasciando specifica autorizzazione al trattamento dei dati personali ai sensi dell’art. 13 GDPR 679/16 – “Regolamento europeo sulla protezione dei dati personali”. e rilasciando specifica autorizzazione al trattamento dei dati personali ai sensi dell’art. 13 d. lgs. 30 giugno 2003 n°196 e al Codice in materia di protezione dei dati personali ai sensi dell’art. 13 GDPR 679/16 – “Regolamento europeo sulla protezione dei dati personali”. +Show more ","
    + + + + + +
    +
    + Siamo una digital company che trasforma e migliora il modo in cui le aziende affrontano il mercato.

    Dal 1981 diamo alle imprese la possibilità di accelerare il proprio sviluppo con un pensiero strategico, un approccio pratico e un ampio portafoglio di soluzioni innovative, grazie alle competenze in ambito Data Consulting, Big Data, Data Streaming, Internet of Things, Industry 4.0, Artificial Intelligence e Blockchain.

    Non importa a che punto ti trovi del tuo viaggio. Entrando in Sogetel sarai protagonista di questo cambiamento digitale.

    Posizione:

    Siamo alla ricerca, di un/a Sviluppatore RUBY. L'attività si svolgerà da remoto

    Requisiti:

    Esperienza con Ruby on Rails: Competenze avanzate nel framework Ruby on Rails per lo sviluppo di applicazioni web.

    • Conoscenza di Python: Buone competenze nella programmazione in Python.
    • Conoscenza di SQL: Capacità di utilizzare SQL per la gestione e l'interrogazione di database.

    Altre informazioni:

    i/Le candidati/e interessati/e possono inviare il CV, rilasciando specifica autorizzazione al trattamento dei dati personali ai sensi dell’art. 13 GDPR 679/16 – “Regolamento europeo sulla protezione dei dati personali”. e rilasciando specifica autorizzazione al trattamento dei dati personali ai sensi dell’art. 13 d. lgs. 30 giugno 2003 n°196 e al Codice in materia di protezione dei dati personali ai sensi dell’art. 13 GDPR 679/16 – “Regolamento europeo sulla protezione dei dati personali”. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3914561769,https://it.linkedin.com/jobs/view/operations-research-scientist-apprenticeship-at-siemens-3914561769?position=59&pageNum=0&refId=ONtUwPJqVuwToAm1T%2FHWSw%3D%3D&trackingId=NkeWnEE1EppxqGOQqFWzCw%3D%3D&trk=public_jobs_jserp-result_search-card,Operations Research Scientist - Apprenticeship,Siemens,"Rome, Latium, Italy","Create a better tomorrow with us. + +Siemens Mobility is looking for an Apprentice for the Center of Competence in Optimization, in Rome within the Software BU area who will be trained in 2 years as Operations Research Scientist. + +During the apprenticeship you will receive a comprehensive and state-of-the- art training to develop your personal and professional skills and you will have the support of a mentor to achieve your career steps + +Siemens is a focused technology company, pioneering intelligent solutions that transform the everyday in manufacturing, grids, buildings, and transportation. Our technology addresses real problems that affect the future of humanity. + +You love to create an impact? From Day 1 you are empowered to make a difference for a better tomorrow with your full potential and creativity. + +Your Challenge + +As an Operations Research Scientist, you will be part of the recently founded Centre of Competence for Optimization at Siemens Mobility, working aside with top-tier scientists and engineers dedicated to advancing the state of the art and practice in Optimization and Decisions Sciences applied to Transportation. The focus of the group is to design and develop advanced optimization models and implement innovative algorithms to enhance Siemens Mobility's planning software and drive innovation and continuous improvement. + +Some of the main activities will be: + + +Assist in the design, development, and implementation of optimization models to enhance Siemens Mobility’s planning software. +Employ mathematical programming software tools to devise solutions. +Collaborate with senior staff and multi-functional teams to understand business requirements and objectives. +Analyze data and take part in workshops to support the development of novel optimization approaches. +Stay ahead of the latest research and trends in optimization and operations research. +Actively seek ways to improve models, algorithms, and processes +Engage in international projects and collaborate with teams from various countries + + +Required entry qualifications: + + +You have less than 30 years of age, in accordance with the Italian apprenticeship contract +Recent PhD or PhD candidate nearing completion in Operations Research, Industrial Engineering, Mathematics, or related fields with a thesis focused on optimization. Candidates with Master’s degree candidates may also be considered. +Strong foundation in mathematical programming and familiarity with optimization software tools (e.g., CPLEX, Gurobi, etc). +Excellent analytical and problem-solving skills. +Ability to work effectively in a team and communicate complex ideas clearly. +Programming skills in language of choice (Python, Java, C++ etc) +Proficiency in English and Italian +Team player ability, strong communication & interpersonal skills; +Ability to work in a changing environment +Passion to never-stop growing +Respect and appreciation of each person’s uniqueness, willingness to co create and share knowledge +Eligibility to work in Italy + + +What We Offer + + +Flexibility: trustful environment with an inclusive and flexible way of working driven by results,; hybrid and remote working enabled by innovative tools and devices, personal computer and smartphone; wi-fi connection reimbursement. +Welfare: flexible welfare programs and health insurance extendable to your family; professional and extraprofessional accident insurance; free on-site lunch options. +Never stop growing: plenty opportunities for continuous and individual learning journeys +An inclusive team culture where you can be yourself + + +Join us and be yourself. Inclusion is our ambition! + +Siemens is an equal opportunity employer, offering a safe and inclusive work environment, based on mutual respect and the appreciation of uniqueness, guaranteeing equal employment opportunities to all qualified candidates to unleash their full potential. + +Address to us your desired working conditions/ environment. Typically, this kind of position is full-time, however please feel free to ask for a more flexible arrangement if that suits better to you. + +For more details about Siemens Italia please go to: www.siemens.it + +Our recruiting team is looking forward to getting to know you! + +#MakeYourImpact + + +Show more ","
    + + + + + +
    +
    + Create a better tomorrow with us.

    Siemens Mobility is looking for an Apprentice for the Center of Competence in Optimization, in Rome within the Software BU area who will be trained in 2 years as Operations Research Scientist.

    During the apprenticeship you will receive a comprehensive and state-of-the- art training to develop your personal and professional skills and you will have the support of a mentor to achieve your career steps

    Siemens is a focused technology company, pioneering intelligent solutions that transform the everyday in manufacturing, grids, buildings, and transportation. Our technology addresses real problems that affect the future of humanity.

    You love to create an impact? From Day 1 you are empowered to make a difference for a better tomorrow with your full potential and creativity.

    Your Challenge

    As an Operations Research Scientist, you will be part of the recently founded Centre of Competence for Optimization at Siemens Mobility, working aside with top-tier scientists and engineers dedicated to advancing the state of the art and practice in Optimization and Decisions Sciences applied to Transportation. The focus of the group is to design and develop advanced optimization models and implement innovative algorithms to enhance Siemens Mobility's planning software and drive innovation and continuous improvement.

    Some of the main activities will be:

    • Assist in the design, development, and implementation of optimization models to enhance Siemens Mobility’s planning software.
    • Employ mathematical programming software tools to devise solutions.
    • Collaborate with senior staff and multi-functional teams to understand business requirements and objectives.
    • Analyze data and take part in workshops to support the development of novel optimization approaches.
    • Stay ahead of the latest research and trends in optimization and operations research.
    • Actively seek ways to improve models, algorithms, and processes
    • Engage in international projects and collaborate with teams from various countries

    Required entry qualifications:

    • You have less than 30 years of age, in accordance with the Italian apprenticeship contract
    • Recent PhD or PhD candidate nearing completion in Operations Research, Industrial Engineering, Mathematics, or related fields with a thesis focused on optimization. Candidates with Master’s degree candidates may also be considered.
    • Strong foundation in mathematical programming and familiarity with optimization software tools (e.g., CPLEX, Gurobi, etc).
    • Excellent analytical and problem-solving skills.
    • Ability to work effectively in a team and communicate complex ideas clearly.
    • Programming skills in language of choice (Python, Java, C++ etc)
    • Proficiency in English and Italian
    • Team player ability, strong communication & interpersonal skills;
    • Ability to work in a changing environment
    • Passion to never-stop growing
    • Respect and appreciation of each person’s uniqueness, willingness to co create and share knowledge
    • Eligibility to work in Italy

    What We Offer

    • Flexibility: trustful environment with an inclusive and flexible way of working driven by results,; hybrid and remote working enabled by innovative tools and devices, personal computer and smartphone; wi-fi connection reimbursement.
    • Welfare: flexible welfare programs and health insurance extendable to your family; professional and extraprofessional accident insurance; free on-site lunch options.
    • Never stop growing: plenty opportunities for continuous and individual learning journeys
    • An inclusive team culture where you can be yourself

    Join us and be yourself. Inclusion is our ambition!

    Siemens is an equal opportunity employer, offering a safe and inclusive work environment, based on mutual respect and the appreciation of uniqueness, guaranteeing equal employment opportunities to all qualified candidates to unleash their full potential.

    Address to us your desired working conditions/ environment. Typically, this kind of position is full-time, however please feel free to ask for a more flexible arrangement if that suits better to you.

    For more details about Siemens Italia please go to: www.siemens.it

    Our recruiting team is looking forward to getting to know you!

    #MakeYourImpact

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-04,[] +3967650992,https://it.linkedin.com/jobs/view/experienced-%E2%80%93-data-scientist-ai-%E2%80%93-roma-milano-%E2%80%93-risk-advisory-at-deloitte-3967650992?position=2&pageNum=2&refId=m%2BbTsRXLdmtHoR6zHrKaIw%3D%3D&trackingId=asBftwqOuL1pdid9AnhCRQ%3D%3D&trk=public_jobs_jserp-result_search-card,Experienced – Data Scientist AI – Roma/Milano – Risk Advisory,Deloitte,"Rome, Latium, Italy","Stiamo cercando una figura Consultant/Senior Consultant da inserire nel team Digital Controls CPP di Deloitte Risk Advisory per le sedi di Roma e Milano che lavorerà in modalità Hybrid. + +Il business Digital Controls CPP si occupa di fornire servizi di Digital Transformation, che hanno l’obiettivo di supportare la digitalizzazione dei processi interni di business, mettendo in atto attività che prevedono l’utilizzo di strumenti di Data Analytics, Machine Learning, IoT e AI sfruttando i principali servizi messi a disposizione dai più importanti player del settore Cloud. + +Your Role + +La risorsa Experienced verrà inserita in un team di lavoro e si occuperà di: + + +Supervisionare, coordinare e gestire, come Team Leader, un team di sviluppo o consulenti junior; +Progettare ed analizzare soluzioni IT complesse sia di tipo applicativo che di integrazione; +Gestire autonomamente troubleshooting articolati e sotto pressione; +Lavorare in team numerosi dislocati anche su scala internazionale. + + +Winning Requirements + + +Laurea in materie STEM; +Esperienza nella gestione end-to-end di progetti di Data Science: disegno, sviluppo e test di soluzioni AI +Ottima conoscenza di Python e delle librerie per manipolazione dati e sviluppo modelli (Pandas, TensorFlow, Scikit-learn, PyTorch, ecc.); +Esperienza con tecnologie di Generative AI e modelli LLM; +Esperienza con strumenti di containerizzazione (e.g. docker) +Conoscenza di strumenti e linguaggi per la manipolazione dei dati: SQL, MongoDB, Neo4j, Spark, ecc. +Ottima conoscenza della lingua inglese; +Flessibilità, disponibilità a viaggiare. + + +Make An Impact That Matters + +Deloitte è un network leader nei servizi professionali alle imprese, presente in oltre 150 Paesi con 457 mila professionisti. Offriamo soluzioni innovative e sostenibili in Audit & Assurance, Consulting, Financial Advisory, Risk Advisory, Tax e Legal. Il nostro obiettivo è supportare le aziende nello sviluppo e nell'implementazione di strategie al passo con il mercato. + +In Deloitte la sostenibilità è un tema centrale. Per questo, attraverso le strategie e le progettualità legate alle tematiche Environmental, Social e Governance (ESG), ci impegniamo a promuovere una crescita responsabile, sostenibile e inclusiva per il Pianeta, le nostre persone e la società. Scopri di più sulle nostre strategie di Corporate Sustainability, tra cui Well-being, la strategia volta a migliorare il benessere fisico, mentale e sociale delle nostre persone, affinché siano felici e piene di energia in tutti gli ambiti della loro vita e WorldClimate, la strategia globale di Deloitte per diventare un’organizzazione Net Zero e per guidare scelte responsabili all’interno e all’esterno dell’organizzazione. + +Sei pront* a #MakeAnImpactThatMatter insieme? Candidati ora! + +Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del dlgs. 196/2003. La ricerca rispetta il d.lgs. 198/2006, il D.lgs. 215/03 e il D.lgs. 216/03 ed è aperta a candidat* di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. +Show more ","
    + + + + + +
    +
    + Stiamo cercando una figura Consultant/Senior Consultant da inserire nel team Digital Controls CPP di Deloitte Risk Advisory per le sedi di Roma e Milano che lavorerà in modalità Hybrid.

    Il business Digital Controls CPP si occupa di fornire servizi di Digital Transformation, che hanno l’obiettivo di supportare la digitalizzazione dei processi interni di business, mettendo in atto attività che prevedono l’utilizzo di strumenti di Data Analytics, Machine Learning, IoT e AI sfruttando i principali servizi messi a disposizione dai più importanti player del settore Cloud.

    Your Role

    La risorsa Experienced verrà inserita in un team di lavoro e si occuperà di:

    • Supervisionare, coordinare e gestire, come Team Leader, un team di sviluppo o consulenti junior;
    • Progettare ed analizzare soluzioni IT complesse sia di tipo applicativo che di integrazione;
    • Gestire autonomamente troubleshooting articolati e sotto pressione;
    • Lavorare in team numerosi dislocati anche su scala internazionale.

    Winning Requirements

    • Laurea in materie STEM;
    • Esperienza nella gestione end-to-end di progetti di Data Science: disegno, sviluppo e test di soluzioni AI
    • Ottima conoscenza di Python e delle librerie per manipolazione dati e sviluppo modelli (Pandas, TensorFlow, Scikit-learn, PyTorch, ecc.);
    • Esperienza con tecnologie di Generative AI e modelli LLM;
    • Esperienza con strumenti di containerizzazione (e.g. docker)
    • Conoscenza di strumenti e linguaggi per la manipolazione dei dati: SQL, MongoDB, Neo4j, Spark, ecc.
    • Ottima conoscenza della lingua inglese;
    • Flessibilità, disponibilità a viaggiare.

    Make An Impact That Matters

    Deloitte è un network leader nei servizi professionali alle imprese, presente in oltre 150 Paesi con 457 mila professionisti. Offriamo soluzioni innovative e sostenibili in Audit & Assurance, Consulting, Financial Advisory, Risk Advisory, Tax e Legal. Il nostro obiettivo è supportare le aziende nello sviluppo e nell'implementazione di strategie al passo con il mercato.

    In Deloitte la sostenibilità è un tema centrale. Per questo, attraverso le strategie e le progettualità legate alle tematiche Environmental, Social e Governance (ESG), ci impegniamo a promuovere una crescita responsabile, sostenibile e inclusiva per il Pianeta, le nostre persone e la società. Scopri di più sulle nostre strategie di Corporate Sustainability, tra cui Well-being, la strategia volta a migliorare il benessere fisico, mentale e sociale delle nostre persone, affinché siano felici e piene di energia in tutti gli ambiti della loro vita e WorldClimate, la strategia globale di Deloitte per diventare un’organizzazione Net Zero e per guidare scelte responsabili all’interno e all’esterno dell’organizzazione.

    Sei pront* a #MakeAnImpactThatMatter insieme? Candidati ora!

    Le persone interessate possono inviare la propria candidatura con autorizzazione ai sensi del dlgs. 196/2003. La ricerca rispetta il d.lgs. 198/2006, il D.lgs. 215/03 e il D.lgs. 216/03 ed è aperta a candidat* di qualsiasi orientamento o espressione di genere, orientamento sessuale, età, etnia e credo religioso. Il presente annuncio è stato ideato nel rispetto della diversity e dell’inclusività. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3957693353,https://it.linkedin.com/jobs/view/data-scientist-professional-at-igt-3957693353?position=3&pageNum=2&refId=m%2BbTsRXLdmtHoR6zHrKaIw%3D%3D&trackingId=Qh8VqGCJ%2BrorYkwBpCmOTQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist Professional,IGT,"Rome, Latium, Italy","IGT (NYSE:IGT) is a global leader in gaming. We deliver entertaining and responsible gaming experiences for players across all channels and regulated segments, from Lotteries and Gaming Machines to Sports Betting and Digital. Leveraging a wealth of compelling content, substantial investment in innovation, player insights, operational expertise, and leading-edge technology, our solutions deliver unrivaled gaming experiences that engage players and drive growth. We have a well-established local presence and relationships with governments and regulators in more than 100 countries around the world, and create value by adhering to the highest standards of service, integrity, and responsibility. IGT has approximately 10,500 employees. For more information, please visit www.igt.com . + +Ruolo + +Job Title: Data Scientist Professional + +Location: Roma + +Smartworking: Possibile per questa posizione + +Attività Previste + + +Proporre soluzioni innovative in ambito analytics & AI +Progettazione e creazione di algoritmi avanzati di Machine Learning e Deep Learning, in particolare in cloud (Snowflake e Azure Machine Learning) +Progettare e implementare data pipelines per integrare dati eterogenei in un’unica piattaforma +Gestione ed analisi di grandi set di dati per l’analisi e l’addestramento dei modelli di Intelligenza Artificiale +Definire e implementare dashboard, report e query per rendere i dati accessibili ai fruitori della piattaforma +Manutenere la piattaforma e risolvere le eventuali criticità, in particolare gli algoritmi esistenti in produzione +Sviluppare rispetto alle linee guida e best practice +Collaborare con i gruppi di sviluppo per garantire l'integrazione con altri sistemi aziendali +Mantenere gli standard per la governance e la sicurezza dei dati +Formare e supportare gli utenti interni all’utilizzo della piattaforma + + +Requisiti + + +Buona conoscenza delle architetture e tecnologie moderne in ambito dati e AI, Advanced Analytics e Machine Learning +Conoscenza di integrazioni di tecnologie e prodotti SW per use case di Analytics di diversa natura (Descriptive Analysis; Streaming Analytics; Advanced Analytics o Machine Learning; Generative AI) +Conoscenza nella progettazione, sviluppo e delivery di progetti in ambito Cloud Azure (Google, AWS etc), Snowflake e Databricks etc. +Esperienza in sviluppo di web services e applicazioni containerizzate +Esperienza nella modellazione ed integrazione di dati +Capacità di progettare, implementare e rilasciare modelli di Machine Learning e Deep Learning +Conoscenza delle Neural Networks e dei loro campi di applicazione +Conoscenza dei Large Language Models e delle tecnologie di Generative AI +Ottima conoscenza di database relazionali, SQL e di una o più tecnologie cloud come Snowflake, Databricks, etc… +Ottima conoscenza di almeno un linguaggio di programmazione Python e R +Conoscenza di almeno una delle tecnologie Hadoop, Spark, Hive, Impala, Elasticsearch +Conoscenza di framework come TensorFlow, PyTorch, Keras +Preferibile la conoscenza di Git Flow +Esperienza di gestione autonoma di applicativi / stream progettuali +Esperienza nell’intero ciclo vita del software (plan, design, develop, test, deploy e UAT) di Big Data Platform preferibilmente in contesti DevOps +Preferibile esperienza in rendere i dati accessibili alle funzioni aziendali attraverso dashboard, report, query e altri strumenti di analisi + + +Esperienza Professionale/Seniority + + +La risorsa ideale ha almeno esperienza di 3 anni in progetti e contesti in linea con le attività previste. + + +Titolo di Studi + +Preferibile laurea in materie scientifiche: Statistica, Matematica, Fisica, Informatica ed Ingegneria Informatica + +Soft Skills + + +Appassionato e curioso di tecnologie e innovazione +Predisposizione al problem solving +Forti capacità analitiche +Proattività e versatilità +Responsabilità +Conoscenza dei processi aziendali +Ottima conoscenza della lingua inglese +Ottime capacità di collaborazione tra gruppi + + +IGT is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve, and to creating a fair and inclusive culture that enables all our employees to feel valued, respected and engaged. IGT is an equal opportunity employer. We provide equal opportunities without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, pregnancy, marital status, national origin, citizenship, covered veteran status, ancestry, age, physical or mental disability, medical condition, genetic information, or any other legally protected status in accordance with applicable local, state, federal laws or other laws. We thank all applicants for applying; however, only those selected to interview will be contacted. + +IGT (NYSE: IGT) is the global leader in gaming. For more information, please visit www.igt.com . +Show more ","
    + + + + + +
    +
    + IGT (NYSE:IGT) is a global leader in gaming. We deliver entertaining and responsible gaming experiences for players across all channels and regulated segments, from Lotteries and Gaming Machines to Sports Betting and Digital. Leveraging a wealth of compelling content, substantial investment in innovation, player insights, operational expertise, and leading-edge technology, our solutions deliver unrivaled gaming experiences that engage players and drive growth. We have a well-established local presence and relationships with governments and regulators in more than 100 countries around the world, and create value by adhering to the highest standards of service, integrity, and responsibility. IGT has approximately 10,500 employees. For more information, please visit www.igt.com .

    Ruolo

    Job Title: Data Scientist Professional

    Location: Roma

    Smartworking: Possibile per questa posizione

    Attività Previste

    • Proporre soluzioni innovative in ambito analytics & AI
    • Progettazione e creazione di algoritmi avanzati di Machine Learning e Deep Learning, in particolare in cloud (Snowflake e Azure Machine Learning)
    • Progettare e implementare data pipelines per integrare dati eterogenei in un’unica piattaforma
    • Gestione ed analisi di grandi set di dati per l’analisi e l’addestramento dei modelli di Intelligenza Artificiale
    • Definire e implementare dashboard, report e query per rendere i dati accessibili ai fruitori della piattaforma
    • Manutenere la piattaforma e risolvere le eventuali criticità, in particolare gli algoritmi esistenti in produzione
    • Sviluppare rispetto alle linee guida e best practice
    • Collaborare con i gruppi di sviluppo per garantire l'integrazione con altri sistemi aziendali
    • Mantenere gli standard per la governance e la sicurezza dei dati
    • Formare e supportare gli utenti interni all’utilizzo della piattaforma

    Requisiti

    • Buona conoscenza delle architetture e tecnologie moderne in ambito dati e AI, Advanced Analytics e Machine Learning
    • Conoscenza di integrazioni di tecnologie e prodotti SW per use case di Analytics di diversa natura (Descriptive Analysis; Streaming Analytics; Advanced Analytics o Machine Learning; Generative AI)
    • Conoscenza nella progettazione, sviluppo e delivery di progetti in ambito Cloud Azure (Google, AWS etc), Snowflake e Databricks etc.
    • Esperienza in sviluppo di web services e applicazioni containerizzate
    • Esperienza nella modellazione ed integrazione di dati
    • Capacità di progettare, implementare e rilasciare modelli di Machine Learning e Deep Learning
    • Conoscenza delle Neural Networks e dei loro campi di applicazione
    • Conoscenza dei Large Language Models e delle tecnologie di Generative AI
    • Ottima conoscenza di database relazionali, SQL e di una o più tecnologie cloud come Snowflake, Databricks, etc…
    • Ottima conoscenza di almeno un linguaggio di programmazione Python e R
    • Conoscenza di almeno una delle tecnologie Hadoop, Spark, Hive, Impala, Elasticsearch
    • Conoscenza di framework come TensorFlow, PyTorch, Keras
    • Preferibile la conoscenza di Git Flow
    • Esperienza di gestione autonoma di applicativi / stream progettuali
    • Esperienza nell’intero ciclo vita del software (plan, design, develop, test, deploy e UAT) di Big Data Platform preferibilmente in contesti DevOps
    • Preferibile esperienza in rendere i dati accessibili alle funzioni aziendali attraverso dashboard, report, query e altri strumenti di analisi

    Esperienza Professionale/Seniority

    • La risorsa ideale ha almeno esperienza di 3 anni in progetti e contesti in linea con le attività previste.

    Titolo di Studi

    Preferibile laurea in materie scientifiche: Statistica, Matematica, Fisica, Informatica ed Ingegneria Informatica

    Soft Skills

    • Appassionato e curioso di tecnologie e innovazione
    • Predisposizione al problem solving
    • Forti capacità analitiche
    • Proattività e versatilità
    • Responsabilità
    • Conoscenza dei processi aziendali
    • Ottima conoscenza della lingua inglese
    • Ottime capacità di collaborazione tra gruppi

    IGT is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve, and to creating a fair and inclusive culture that enables all our employees to feel valued, respected and engaged. IGT is an equal opportunity employer. We provide equal opportunities without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, pregnancy, marital status, national origin, citizenship, covered veteran status, ancestry, age, physical or mental disability, medical condition, genetic information, or any other legally protected status in accordance with applicable local, state, federal laws or other laws. We thank all applicants for applying; however, only those selected to interview will be contacted.

    IGT (NYSE: IGT) is the global leader in gaming. For more information, please visit www.igt.com . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3972311913,https://it.linkedin.com/jobs/view/graph-data-scientist-rif-2024-05-at-aizoon-technology-consulting-3972311913?position=4&pageNum=2&refId=m%2BbTsRXLdmtHoR6zHrKaIw%3D%3D&trackingId=hEBDsBXd5iiv8sGT%2FcMy%2BQ%3D%3D&trk=public_jobs_jserp-result_search-card,Graph Data Scientist (Rif. 2024-05),aizoOn Technology Consulting,"Rome, Latium, Italy","Join our Cybersecurity Team as a Graph Data Scientist! + + + + +At aizoOn, we have been pioneering cybersecurity solutions since 2007 and developing cutting-edge technology since 2012. Our flagship product, introduced in 2013, was among the first in the world to apply machine learning techniques to network traffic analysis, detecting behavioral anomalies and advanced attacks. + + + + +Our mission: Revolutionizing Cybersecurity + +We are on a mission to transform cybersecurity challenges with a data driven approach. Our goal is to become a global vendor, with a disruptive platform to reshape the cybersecurity landscape. Traditional practices driven by risks hypothesis based on annual interviews and on-paper assessments are outdated. With our ESRA platform (Enhanced Security Risk Analytics), we provide near real-time visibility across the cyber realm and data-driven risk analysis, offering a revolutionary approach to objective cybersecurity risk management. + + + + +Why Join Us? + +Innovative Environment: Be part of a dynamic team of over 30 experts with deep and diverse expertise, pushing the boundaries of cybersecurity. +Startup Spirit: We value entrepreneurial drive, innovative thinking, and the grit to challenge the status quo. +Passion for Technology: If you are passionate about technology and improving society, this is the place for you. +Comprehensive Benefits: Competitive salary, performance-based bonuses, welfare incentives and stock options. + + + + +Your Role + +As a Graph Data Scientist, you will be crucial in developing, evolving and maintaining our innovative cybersecurity solution, ESRA. Your contribution will directly impact the safety and security of our digital world. + +You will be responsible for: + +Proposing new approaches to analyze and solve problems +Designing advanced algorithms on graphs modeling networks and medium/large environments (from thousands to hundreds of thousands of nodes) +Implementing proof-of-concept algorithms designed to validate their effectiveness and performance +Research activities for continuous improvement and innovation of the product + + + + +What We’re Looking For + +Education: Degree in technical-scientific disciplines (Plus: Ph.D. with topics related to graph analytics and algorithms). +Experience: at least 3 years of previous experience with algorithms and graph analytics (preferred on Big Data). +Language Skills: Proficiency in the English language. + + + + +Technical Skills + +Graph Drawing +Proficiency in tools for managing large graphs +Ability to design and implement algorithms and analytics, even on large graphs +Good programming skills in high-level languages +Plus: Experience in programming languages such as Python and Java +Cybersecurity: Previous experience cybersecurity context will be considered a plus + + + + +Apply Now! + +Join us in reshaping the cybersecurity landscape. Send your application and become a part of our innovation journey. + +Show more ","
    + + + + + +
    +
    +

    Join our Cybersecurity Team as a Graph Data Scientist!


    At aizoOn, we have been pioneering cybersecurity solutions since 2007 and developing cutting-edge technology since 2012. Our flagship product, introduced in 2013, was among the first in the world to apply machine learning techniques to network traffic analysis, detecting behavioral anomalies and advanced attacks.


    Our mission: Revolutionizing Cybersecurity

    We are on a mission to transform cybersecurity challenges with a data driven approach. Our goal is to become a global vendor, with a disruptive platform to reshape the cybersecurity landscape. Traditional practices driven by risks hypothesis based on annual interviews and on-paper assessments are outdated. With our ESRA platform (Enhanced Security Risk Analytics), we provide near real-time visibility across the cyber realm and data-driven risk analysis, offering a revolutionary approach to objective cybersecurity risk management.


    Why Join Us?

    • Innovative Environment: Be part of a dynamic team of over 30 experts with deep and diverse expertise, pushing the boundaries of cybersecurity.
    • Startup Spirit: We value entrepreneurial drive, innovative thinking, and the grit to challenge the status quo.
    • Passion for Technology: If you are passionate about technology and improving society, this is the place for you.
    • Comprehensive Benefits: Competitive salary, performance-based bonuses, welfare incentives and stock options.


    Your Role

    As a Graph Data Scientist, you will be crucial in developing, evolving and maintaining our innovative cybersecurity solution, ESRA. Your contribution will directly impact the safety and security of our digital world.

    You will be responsible for:

    1. Proposing new approaches to analyze and solve problems
    2. Designing advanced algorithms on graphs modeling networks and medium/large environments (from thousands to hundreds of thousands of nodes)
    3. Implementing proof-of-concept algorithms designed to validate their effectiveness and performance
    4. Research activities for continuous improvement and innovation of the product


    What We’re Looking For

    • Education: Degree in technical-scientific disciplines (Plus: Ph.D. with topics related to graph analytics and algorithms).
    • Experience: at least 3 years of previous experience with algorithms and graph analytics (preferred on Big Data).
    • Language Skills: Proficiency in the English language.


    Technical Skills

    • Graph Drawing
    • Proficiency in tools for managing large graphs
    • Ability to design and implement algorithms and analytics, even on large graphs
    • Good programming skills in high-level languages
    • Plus: Experience in programming languages such as Python and Java
    • Cybersecurity: Previous experience cybersecurity context will be considered a plus


    Apply Now!

    Join us in reshaping the cybersecurity landscape. Send your application and become a part of our innovation journey.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +3976173407,https://it.linkedin.com/jobs/view/front-end-developer-at-randstad-3976173407?position=5&pageNum=2&refId=m%2BbTsRXLdmtHoR6zHrKaIw%3D%3D&trackingId=wr%2FwPtqvU5K%2B2xvo%2FfIm4w%3D%3D&trk=public_jobs_jserp-result_search-card,Front End Developer,Randstad,"Rome, Latium, Italy","Randstad Technologies, divisione specializzata nella ricerca, selezione e formazione di profili in ambito ICT di Randstad Italia ricerca per software house specializzata in prodotti legati all'ambito giuridico e notarile un/una: + + + + +Front End Developer + +La risorsa sarà inserita nel team IT per la realizzazione ed implementazione di prodotti e servizi software in base ai requisiti ed alle specifiche funzionali in ambito legal e notarile. + + + + +Competenze + + + + +Si richiede tra i 2 e i 4 anni di esperienza maturata in ruolo analogo; +Conoscenza di React.JS, Javascript, PHP; +Preferibile la conoscenza di React native, Node.js; +Conoscenze per Cross-Browser Development; +Padronanza di deploy applicazioni mediante pipeline come GitLab pipeline; +Preferibile la padronanza di ambienti di runtime basati su container come: Docker, Kubernetes, Red Hat OpenShift; +Uso dei principali ambienti di sviluppo (IDE/Editor): es. Visual Studio Code, Sublime Text; +Conoscenze del Content Management Systems WordPress; +Implementazione Testing/Debugging; +Padronanza di Git/Version Control. + + + + +Offerta + + + + +Contratto a tempo indeterminato ad inserimento diretto presso l'azienda, CCNL II livello Commercio; +L’offerta sarà commisurata all’effettiva esperienza maturata dal candidato/a; +Completano il pacchetto retributivo l'aggiunta di benefit. + + + + +Sede: Roma (zona Flaminio), in modalità ibrida. + + + + +La ricerca è rivolta ai candidati ambosessi (L.903/77). Ti preghiamo di leggere l'informativa sulla privacy ai sensi dell'art. 13 del Regolamento (UE) 2016/679 sulla protezione dei dati (GDPR) sul sito https://www.randstad.it/privacy/ + +Show more ","
    + + + + + +
    +
    +

    Randstad Technologies, divisione specializzata nella ricerca, selezione e formazione di profili in ambito ICT di Randstad Italia ricerca per software house specializzata in prodotti legati all'ambito giuridico e notarile un/una:


    Front End Developer

    La risorsa sarà inserita nel team IT per la realizzazione ed implementazione di prodotti e servizi software in base ai requisiti ed alle specifiche funzionali in ambito legal e notarile.


    Competenze


    • Si richiede tra i 2 e i 4 anni di esperienza maturata in ruolo analogo;
    • Conoscenza di React.JS, Javascript, PHP;
    • Preferibile la conoscenza di React native, Node.js;
    • Conoscenze per Cross-Browser Development;
    • Padronanza di deploy applicazioni mediante pipeline come GitLab pipeline;
    • Preferibile la padronanza di ambienti di runtime basati su container come: Docker, Kubernetes, Red Hat OpenShift;
    • Uso dei principali ambienti di sviluppo (IDE/Editor): es. Visual Studio Code, Sublime Text;
    • Conoscenze del Content Management Systems WordPress;
    • Implementazione Testing/Debugging;
    • Padronanza di Git/Version Control.


    Offerta


    • Contratto a tempo indeterminato ad inserimento diretto presso l'azienda, CCNL II livello Commercio;
    • L’offerta sarà commisurata all’effettiva esperienza maturata dal candidato/a;
    • Completano il pacchetto retributivo l'aggiunta di benefit.


    Sede: Roma (zona Flaminio), in modalità ibrida.


    La ricerca è rivolta ai candidati ambosessi (L.903/77). Ti preghiamo di leggere l'informativa sulla privacy ai sensi dell'art. 13 del Regolamento (UE) 2016/679 sulla protezione dei dati (GDPR) sul sito https://www.randstad.it/privacy/

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-01,[] +4004897132,https://it.linkedin.com/jobs/view/back-end-developer-python-at-orienta-agenzia-per-il-lavoro-4004897132?position=6&pageNum=2&refId=m%2BbTsRXLdmtHoR6zHrKaIw%3D%3D&trackingId=zBKnWJfF7%2BgcbHbQt5G3rQ%3D%3D&trk=public_jobs_jserp-result_search-card,Back-end Developer (Python),Orienta Agenzia per il Lavoro,"Rome, Latium, Italy","Orienta Digital ricerca per azienda che si occupa di integrazione di sistemi IT, specialmente per il mondo medicale un/una: + +Back-end Developer (Python) + +che, in coordinamento con il responsabile, si occuperà di progettazione software, pianificazione di fattibilità e analisi con il cliente. Seguirà progetti per grandi clienti in ambito Pubblica Amministrazione ed evolutive per prodotti software interni. + +Si richiede una consolidata conoscenza di Python. Inoltre, si richiede conoscenza su SQL, HTML, CSS e JavaScript. + +Il candidato/a ideale è in possesso della Laurea in Informatica o del Diploma Tecnico e ha già maturato almeno 2 anni di esperienza in ruoli analoghi. + +Completano il profilo ottime doti di problem solving, analisi e di team working. + +Si offre un inserimento diretto a tempo indeterminato, inquadramento e retribuzione verranno valutati in base all'esperienza maturata. + +Luogo di lavoro: Roma con possibilità di smart working + +Settore: Informatica + +Ruolo: IT/Technology + +Tipo di occupazione: Lavoro a tempo indeterminato +Show more ","
    + + + + + +
    +
    + Orienta Digital ricerca per azienda che si occupa di integrazione di sistemi IT, specialmente per il mondo medicale un/una:

    Back-end Developer (Python)

    che, in coordinamento con il responsabile, si occuperà di progettazione software, pianificazione di fattibilità e analisi con il cliente. Seguirà progetti per grandi clienti in ambito Pubblica Amministrazione ed evolutive per prodotti software interni.

    Si richiede una consolidata conoscenza di Python. Inoltre, si richiede conoscenza su SQL, HTML, CSS e JavaScript.

    Il candidato/a ideale è in possesso della Laurea in Informatica o del Diploma Tecnico e ha già maturato almeno 2 anni di esperienza in ruoli analoghi.

    Completano il profilo ottime doti di problem solving, analisi e di team working.

    Si offre un inserimento diretto a tempo indeterminato, inquadramento e retribuzione verranno valutati in base all'esperienza maturata.

    Luogo di lavoro: Roma con possibilità di smart working

    Settore: Informatica

    Ruolo: IT/Technology

    Tipo di occupazione: Lavoro a tempo indeterminato +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3967808492,https://it.linkedin.com/jobs/view/manager-data-scientist-at-ey-3967808492?position=7&pageNum=2&refId=m%2BbTsRXLdmtHoR6zHrKaIw%3D%3D&trackingId=UFR0dQrh3o7Crl5kZWtYJQ%3D%3D&trk=public_jobs_jserp-result_search-card,Manager Data Scientist,EY,"Rome, Latium, Italy","EY Technology Consulting- Manager Data Scientist + +Be the transformative leader that the world needs. It’s yours to build. + +In EY Consulting non troverai soltanto un lavoro, ma un’esperienza formativa che ti porterà ad essere il leader di cui abbiamo bisogno. Vogliamo essere la scintilla che dà vita alle tue ispirazioni e al tuo successo. Per questo motivo ti offriamo tutte le risorse, le competenze tecniche specifiche e le community tematiche, per sviluppare i tuoi interessi e le tue ambizioni. + +Cerchiamo Transformation leader in grado di guidare trasformazioni complesse attraverso tecnologia, human e innovation, e capaci di coniugare conoscenze tecnologiche e visione del futuro. + +Perché dovresti scegliere EY Consulting? + +Da subito entrerai a far parte di team e settori diversificati, partecipando attivamente ai processi di trasformazione e di innovazione di aziende, società e Pubbliche Amministrazioni per creare un impatto sul Paese. + +Costruirai la carriera che desideri grazie a percorsi di formazione su hard e soft skill, community e hub tecnologici, dove potrai quotidianamente provare, sperimentare e crescere. + +Questa è la tua opportunità per sviluppare le tue competenze e per fare qualcosa di eccezionale per te, per noi, per il mondo. The exceptional EY experience, it’s yours to build. + +Qual è il contesto in cui verrai inserito? + +Come Manager Data Scientist farai parte della divisione AI&Data, entrerai a far parte del team dell'AI&Advanced Analytics che è basato a Milano, Roma, Bari, Cagliari e Trieste. + +Ti occuperai di: + + +Gestione dei progetti end-to-end in ambito advanced analytics +Definizione e progettazione di soluzioni di Machine Learning e analisi dati per i clienti +Definizione e progettazione di sviluppo di modelli predittivi tramite tecniche di Machine Learning e/o Deep Learning per NLP/NLU, Computer Vision, Time Series e analisi dei grafi di conoscenza +Definizione di dashboard e insight per semplificare il processo decisionale degli stakeholder + + +Requisiti richiesti + + +Laurea in materie ingegneristiche o scientifiche +Gestione end-to-end di progetti analitici +Almeno 5 anni di esperienza in progetti nel settore industriale, preferibilmente in società di consulenza +Ottima conoscenza di Python e delle librerie per manipolazione dati e sviluppo modelli (pandas, tensorflow, scikit-learn, pytorch, ecc…) +Definizione e progettazione di soluzioni di Machine Learning e analisi dati per i clienti +Conoscenza di strumenti e linguaggi per la manipolazione dei dati: SQL, MongoDB, Neo4j, Spark, ecc.. +Conoscenza di modelli predittivi tramite tecniche di Machine Learning e/o Deep Learning +Conoscenza di servizi e micro servizi cloud e di disegno architetturale +Conoscenza di graph DB +Esperienza in ambito di industrializzazione di modelli ML con approccio MLOPS e esperienza di costruzione di pipeline CI/CD + + +Cosa chiediamo: + +Una forte voglia di cambiare il mondo, per il meglio In EY diamo luogo ad una trasformazione, mettendo il nostro purpose - Building a better working world - al centro di tutto ciò che facciamo, e siamo convinti di poter contribuire alla trasformazione del Paese con una forte e precisa idea di futuro e di innovazione. + +Cosa offriamo: + + +Ambiente di lavoro internazionale, all’interno di team diversi e multidisciplinari. +Percorsi di formazione continua per valorizzare il tuo talento. +Hub tecnologici avanzati in cui sperimentare la trasformazione +Supporto di un Counselor, quale guida nella scelta delle esperienze più adatte alle tue ambizioni. +Benefit e programmi di welfare aziendale. +Tutti gli strumenti necessari per avere una carriera orientata alla crescita, alla sperimentazione e alla tecnologia più avanzata + + +Apri la tua carriera a nuovi scenari di crescita ed entra a far parte del team di EY Consulting. + +The exceptional EY experience, it’s yours to build! +Show more ","
    + + + + + +
    +
    + EY Technology Consulting- Manager Data Scientist

    Be the transformative leader that the world needs. It’s yours to build.

    In EY Consulting non troverai soltanto un lavoro, ma un’esperienza formativa che ti porterà ad essere il leader di cui abbiamo bisogno. Vogliamo essere la scintilla che dà vita alle tue ispirazioni e al tuo successo. Per questo motivo ti offriamo tutte le risorse, le competenze tecniche specifiche e le community tematiche, per sviluppare i tuoi interessi e le tue ambizioni.

    Cerchiamo Transformation leader in grado di guidare trasformazioni complesse attraverso tecnologia, human e innovation, e capaci di coniugare conoscenze tecnologiche e visione del futuro.

    Perché dovresti scegliere EY Consulting?

    Da subito entrerai a far parte di team e settori diversificati, partecipando attivamente ai processi di trasformazione e di innovazione di aziende, società e Pubbliche Amministrazioni per creare un impatto sul Paese.

    Costruirai la carriera che desideri grazie a percorsi di formazione su hard e soft skill, community e hub tecnologici, dove potrai quotidianamente provare, sperimentare e crescere.

    Questa è la tua opportunità per sviluppare le tue competenze e per fare qualcosa di eccezionale per te, per noi, per il mondo. The exceptional EY experience, it’s yours to build.

    Qual è il contesto in cui verrai inserito?

    Come Manager Data Scientist farai parte della divisione AI&Data, entrerai a far parte del team dell'AI&Advanced Analytics che è basato a Milano, Roma, Bari, Cagliari e Trieste.

    Ti occuperai di:

    • Gestione dei progetti end-to-end in ambito advanced analytics
    • Definizione e progettazione di soluzioni di Machine Learning e analisi dati per i clienti
    • Definizione e progettazione di sviluppo di modelli predittivi tramite tecniche di Machine Learning e/o Deep Learning per NLP/NLU, Computer Vision, Time Series e analisi dei grafi di conoscenza
    • Definizione di dashboard e insight per semplificare il processo decisionale degli stakeholder

    Requisiti richiesti

    • Laurea in materie ingegneristiche o scientifiche
    • Gestione end-to-end di progetti analitici
    • Almeno 5 anni di esperienza in progetti nel settore industriale, preferibilmente in società di consulenza
    • Ottima conoscenza di Python e delle librerie per manipolazione dati e sviluppo modelli (pandas, tensorflow, scikit-learn, pytorch, ecc…)
    • Definizione e progettazione di soluzioni di Machine Learning e analisi dati per i clienti
    • Conoscenza di strumenti e linguaggi per la manipolazione dei dati: SQL, MongoDB, Neo4j, Spark, ecc..
    • Conoscenza di modelli predittivi tramite tecniche di Machine Learning e/o Deep Learning
    • Conoscenza di servizi e micro servizi cloud e di disegno architetturale
    • Conoscenza di graph DB
    • Esperienza in ambito di industrializzazione di modelli ML con approccio MLOPS e esperienza di costruzione di pipeline CI/CD

    Cosa chiediamo:

    Una forte voglia di cambiare il mondo, per il meglio In EY diamo luogo ad una trasformazione, mettendo il nostro purpose - Building a better working world - al centro di tutto ciò che facciamo, e siamo convinti di poter contribuire alla trasformazione del Paese con una forte e precisa idea di futuro e di innovazione.

    Cosa offriamo:

    • Ambiente di lavoro internazionale, all’interno di team diversi e multidisciplinari.
    • Percorsi di formazione continua per valorizzare il tuo talento.
    • Hub tecnologici avanzati in cui sperimentare la trasformazione
    • Supporto di un Counselor, quale guida nella scelta delle esperienze più adatte alle tue ambizioni.
    • Benefit e programmi di welfare aziendale.
    • Tutti gli strumenti necessari per avere una carriera orientata alla crescita, alla sperimentazione e alla tecnologia più avanzata

    Apri la tua carriera a nuovi scenari di crescita ed entra a far parte del team di EY Consulting.

    The exceptional EY experience, it’s yours to build! +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3989050469,https://it.linkedin.com/jobs/view/full-stack-developer-at-contrader-3989050469?position=8&pageNum=2&refId=m%2BbTsRXLdmtHoR6zHrKaIw%3D%3D&trackingId=WP36cK5CBcGHKnBE30bXOQ%3D%3D&trk=public_jobs_jserp-result_search-card,Full Stack Developer,Contrader,"Rome, Latium, Italy","Full Stack Developer | Roma - On-Site. + + + + +Sei un/a Full Stack Developer pronto/a a nuove sfide? Allora continua a leggere, perché ti stiamo cercando per un'opportunità di carriera unica. + + + + +Le responsabilità + +🚀 Progettare e sviluppare applicativi front-end e back-end, collaborando con il team per garantire un'esperienza utente gratificante; + +⚡ Ottimizzare l'applicazione per velocità ed efficienza, sia nel caricamento che nell'elaborazione dei dati lato server. + + + + +I requisiti + +💻 Ottima conoscenza di Node.js; + +🌐 Ottima conoscenza di TypeScript, React e Angular. + + + + +L’offerta + +● Orario full time. + +● Sede di lavoro: Roma, On-Site. + +● Contratto a tempo indeterminato. + +● Un ambiente di lavoro stimolante, dinamico e giovane. + +● Opportunità di partecipare a corsi di formazione. + +● Iniziative di team building per favorire la coesione e il benessere del team. + +● Assicurazione sanitaria e welcome kit. + + + + +Il profilo ideale + +● Eccellenti abilità tecniche e passione per l'innovazione. + +● Capacità di collaborare in team e di raggiungere obiettivi ambiziosi. + +● Spirito creativo e orientato al raggiungimento degli obiettivi. + + + + +Chi Siamo + +Contrader è una società con esperienza pluriennale in ambito ICT, esperta nella realizzazione di progetti e nella consulenza aziendale ad altissima specializzazione nel settore ICT e nello sviluppo di componenti software. Abbiamo la ferma convinzione che la crescita aziendale sia strettamente legata alla capacità di anticipare i cambiamenti, esplorando strade e idee innovative. La nostra missione va infatti oltre l'offerta di soluzioni immediate e miriamo a creare risorse altamente qualificate per il futuro. + + + + +Per maggiori informazioni consulta il nostro sito: https://contrader.it/ + +Show more ","
    + + + + + +
    +
    +

    Full Stack Developer | Roma - On-Site.


    Sei un/a Full Stack Developer pronto/a a nuove sfide? Allora continua a leggere, perché ti stiamo cercando per un'opportunità di carriera unica.


    Le responsabilità

    🚀 Progettare e sviluppare applicativi front-end e back-end, collaborando con il team per garantire un'esperienza utente gratificante;

    ⚡ Ottimizzare l'applicazione per velocità ed efficienza, sia nel caricamento che nell'elaborazione dei dati lato server.


    I requisiti

    💻 Ottima conoscenza di Node.js;

    🌐 Ottima conoscenza di TypeScript, React e Angular.


    L’offerta

    ● Orario full time.

    ● Sede di lavoro: Roma, On-Site.

    ● Contratto a tempo indeterminato.

    ● Un ambiente di lavoro stimolante, dinamico e giovane.

    ● Opportunità di partecipare a corsi di formazione.

    ● Iniziative di team building per favorire la coesione e il benessere del team.

    ● Assicurazione sanitaria e welcome kit.


    Il profilo ideale

    ● Eccellenti abilità tecniche e passione per l'innovazione.

    ● Capacità di collaborare in team e di raggiungere obiettivi ambiziosi.

    ● Spirito creativo e orientato al raggiungimento degli obiettivi.


    Chi Siamo

    Contrader è una società con esperienza pluriennale in ambito ICT, esperta nella realizzazione di progetti e nella consulenza aziendale ad altissima specializzazione nel settore ICT e nello sviluppo di componenti software. Abbiamo la ferma convinzione che la crescita aziendale sia strettamente legata alla capacità di anticipare i cambiamenti, esplorando strade e idee innovative. La nostra missione va infatti oltre l'offerta di soluzioni immediate e miriamo a creare risorse altamente qualificate per il futuro.


    Per maggiori informazioni consulta il nostro sito: https://contrader.it/

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-31,[] +3991389816,https://it.linkedin.com/jobs/view/software-engineer-at-antal-italy-3991389816?position=9&pageNum=2&refId=m%2BbTsRXLdmtHoR6zHrKaIw%3D%3D&trackingId=7ifNKKeD0DncmOo%2Bi8U34g%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer,Antal Italy,"Rome, Latium, Italy","Per un nostro importante cliente, IDS AirNav del gruppo ENAV, che lavora nel settore dell'aeronautica, siamo alla ricerca di un Software Engineer che supporti lo sviluppo e la manutenzione dei prodotti software, con l’obiettivo di incrementarne la competitività e la qualità nel rispetto di vincoli di time-to-market aggressivi. Nello specifico seguirai le varie fasi del ciclo di vita dei prodotti software con focus, in funzione della seniority, sulle seguenti attività: + +definizione e aggiornamento periodico della roadmap di prodotto; +pianificazione e monitoraggio delle attività di sviluppo delle release; +analisi dei requisiti e progettazione software; +codifica del codice sorgente; +definizione della strategia di test e sviluppo dei test cases, con particolare riguardo agli aspetti di automazione e con l’obiettivo di massimizzare l’efficacia e l’efficienza dei test; +supervisione delle attività di altri membri del team di sviluppo e di eventuali fornitori esterni. + +Requisiti + +Il profilo che cerchiamo ha le seguenti caratteristiche: + +Laurea triennale, specialistica o magistrale in discipline STEM; +Formazione specifica ovvero esperienza professionale in attività di analisi, progettazione e sviluppo software; +Per il profilo junior (Software Engineer): +Conoscenza di uno o più dei seguenti linguaggi di programmazione object-oriented: Java, C++, C#; +conoscenza della lingua italiana al livello C1 o superiore. + +Ulteriori skill: + +Conoscenza delle seguenti tecnologie e framework: Spring, Spring Boot, JHipster, Maven, Docker; +Conoscenza di sistemi GIS (Geographic Information System); +Conoscenza / esperienza su gestione delle strutture di spazi aerei e gestione dei dati aeronautici; +Conoscenza / esperienza di cartografia e pubblicazioni aeronautiche; +Conoscenza / esperienza su concetti operativi aeronautici (Notice to Airmen – NOTAM, Preflight Information Bulletin – PIB, Flight Plan, System-wide Information Management – SWIM; +Conoscenza degli standard di comunicazione AMHS/ATFN; +Conoscenza dei formati di scambio delle informazioni aeronautiche (AIXM, ARINC, DAFIF, …); +Conoscenza dei formati di scambio per la gestione dei dati dei voli (FIXM/ADEXP); +Conoscenza dei formati di scambio dei dati meteo (IWXXM, TAF, METAR, TAC); +Esperienza di sviluppo di sistemi mission critical o safety critical. + + + + +Sede di lavoro: IDS AirNav (Via del Casale Cavallari 200 -00156 Roma) + + + + +Modalità di lavoro: ibrida + + + + +Il profilo ideale potresti essere tu, aspettiamo la tua candidatura! + +Show more ","
    + + + + + +
    +
    +

    Per un nostro importante cliente, IDS AirNav del gruppo ENAV, che lavora nel settore dell'aeronautica, siamo alla ricerca di un Software Engineer che supporti lo sviluppo e la manutenzione dei prodotti software, con l’obiettivo di incrementarne la competitività e la qualità nel rispetto di vincoli di time-to-market aggressivi. Nello specifico seguirai le varie fasi del ciclo di vita dei prodotti software con focus, in funzione della seniority, sulle seguenti attività:

    • definizione e aggiornamento periodico della roadmap di prodotto;
    • pianificazione e monitoraggio delle attività di sviluppo delle release;
    • analisi dei requisiti e progettazione software;
    • codifica del codice sorgente;
    • definizione della strategia di test e sviluppo dei test cases, con particolare riguardo agli aspetti di automazione e con l’obiettivo di massimizzare l’efficacia e l’efficienza dei test;
    • supervisione delle attività di altri membri del team di sviluppo e di eventuali fornitori esterni.

    Requisiti

    Il profilo che cerchiamo ha le seguenti caratteristiche:

    • Laurea triennale, specialistica o magistrale in discipline STEM;
    • Formazione specifica ovvero esperienza professionale in attività di analisi, progettazione e sviluppo software;
    • Per il profilo junior (Software Engineer):
    • Conoscenza di uno o più dei seguenti linguaggi di programmazione object-oriented: Java, C++, C#;
    • conoscenza della lingua italiana al livello C1 o superiore.

    Ulteriori skill:

    • Conoscenza delle seguenti tecnologie e framework: Spring, Spring Boot, JHipster, Maven, Docker;
    • Conoscenza di sistemi GIS (Geographic Information System);
    • Conoscenza / esperienza su gestione delle strutture di spazi aerei e gestione dei dati aeronautici;
    • Conoscenza / esperienza di cartografia e pubblicazioni aeronautiche;
    • Conoscenza / esperienza su concetti operativi aeronautici (Notice to Airmen – NOTAM, Preflight Information Bulletin – PIB, Flight Plan, System-wide Information Management – SWIM;
    • Conoscenza degli standard di comunicazione AMHS/ATFN;
    • Conoscenza dei formati di scambio delle informazioni aeronautiche (AIXM, ARINC, DAFIF, …);
    • Conoscenza dei formati di scambio per la gestione dei dati dei voli (FIXM/ADEXP);
    • Conoscenza dei formati di scambio dei dati meteo (IWXXM, TAF, METAR, TAC);
    • Esperienza di sviluppo di sistemi mission critical o safety critical.


    Sede di lavoro: IDS AirNav (Via del Casale Cavallari 200 -00156 Roma)


    Modalità di lavoro: ibrida


    Il profilo ideale potresti essere tu, aspettiamo la tua candidatura!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +3977831980,https://it.linkedin.com/jobs/view/python-full-stack-developer-at-dedagroup-3977831980?position=10&pageNum=2&refId=m%2BbTsRXLdmtHoR6zHrKaIw%3D%3D&trackingId=P6WdVXVXr7fjxWVuO0Ns6w%3D%3D&trk=public_jobs_jserp-result_search-card,Python Full Stack Developer,Dedagroup,"Rome, Latium, Italy","Sede: Roma + +Esperienza: Almeno 5 anni + +Cosa aspettarti da questa posizione + +Sarai inserito/a all’interno della nostra Deda Next, azienda del Gruppo che offre alle Pubbliche Amministrazioni Centrali e Locali e alle Utilities, servizi e soluzioni per la trasformazione digitale, per la trasparenza e l’interoperabilità dei dati, per la transizione ecologica ed una maggiore efficacia ed efficienza gestionale. Svolgerai le tue attività in un contesto dinamico, dedicato alla consulenza e alla realizzazione di soluzioni software realizzate per i nostri Clienti, modellando i processi di business e identificando la tipologia più adeguata di soluzioni ICT. + +In particolare, ti occuperai di: + + +Collaborare con altri sviluppatori e membri del team per progettare e implementare soluzioni software; +Creare e mantenere la documentazione tecnica; +Partecipare attivamente al processo di testing e debugging del software; +Implementare le migliori pratiche di sicurezza e performance; +Collaborare con il team DevOps per garantire il rilascio efficiente delle applicazioni. + + +Must Have + + +Laurea in Informatica, Ingegneria del Software o campo correlato; +Esperienza comprovata come sviluppatore full stack (Backend / Frontend); +Conoscenza approfondita di Python, preferibilmente con esperienza nel framework Twisted; +Competenza in Javascript/Typescript con padronanza di framework come Angular/AngularJS; +Conoscenza approfondita di HTML e CSS; +Competenza nell'utilizzo di Bash per l'automazione di processi; +Esperienza nella scrittura di unit-testing e browser testing; +Competenza nell'utilizzo dei database più conosciuti (PostgreSQL, SqLite, MySQL, Oracle); +Esperienza con SQL Alchemy ORM e Alembic per la gestione delle migrazioni; +Conoscenza approfondita dell'ambiente Docker; +Competenza nell'utilizzo di sistemi basati su GNU/Linux; +Conoscenza di sistemi di versioning come Git. + + +Plus + + +Competenze in ambito geospaziale (gdal); +Competenze in ambito data scientist (numpy,pandas); +Competenze nei processi DevOps. + + +Le Soft Skills Che Riteniamo Importanti + +Siamo alla ricerca di una persona orientata al team working e al risultato, con ottime doti comunicative ed in grado di gestire autonomamente le scadenza e la pianificazione delle attività. + +Dedicated to Growth + +Che si tratti di un software, di una soluzione tecnologica o di una consulenza, al cuore di ogni progetto ci sono sempre persone che lavorano insieme ad altre persone. Competenti e curiose, ambiziose e tenaci: alle Deda People piace imparare, confrontarsi, migliorare. La dedizione, per noi, è attitudine al miglioramento continuo, ricerca di obiettivi sempre nuovi, raggiungimento di risultati e capacità di lavorare insieme. ll nostro impegno è far crescere le persone perché possano migliorare, esprimere al meglio il proprio potenziale e contribuire alla costruzione di un futuro migliore: per sé, per Deda e per la società tutta. +Show more ","
    + + + + + +
    +
    + Sede: Roma

    Esperienza: Almeno 5 anni

    Cosa aspettarti da questa posizione

    Sarai inserito/a all’interno della nostra Deda Next, azienda del Gruppo che offre alle Pubbliche Amministrazioni Centrali e Locali e alle Utilities, servizi e soluzioni per la trasformazione digitale, per la trasparenza e l’interoperabilità dei dati, per la transizione ecologica ed una maggiore efficacia ed efficienza gestionale. Svolgerai le tue attività in un contesto dinamico, dedicato alla consulenza e alla realizzazione di soluzioni software realizzate per i nostri Clienti, modellando i processi di business e identificando la tipologia più adeguata di soluzioni ICT.

    In particolare, ti occuperai di:

    • Collaborare con altri sviluppatori e membri del team per progettare e implementare soluzioni software;
    • Creare e mantenere la documentazione tecnica;
    • Partecipare attivamente al processo di testing e debugging del software;
    • Implementare le migliori pratiche di sicurezza e performance;
    • Collaborare con il team DevOps per garantire il rilascio efficiente delle applicazioni.

    Must Have

    • Laurea in Informatica, Ingegneria del Software o campo correlato;
    • Esperienza comprovata come sviluppatore full stack (Backend / Frontend);
    • Conoscenza approfondita di Python, preferibilmente con esperienza nel framework Twisted;
    • Competenza in Javascript/Typescript con padronanza di framework come Angular/AngularJS;
    • Conoscenza approfondita di HTML e CSS;
    • Competenza nell'utilizzo di Bash per l'automazione di processi;
    • Esperienza nella scrittura di unit-testing e browser testing;
    • Competenza nell'utilizzo dei database più conosciuti (PostgreSQL, SqLite, MySQL, Oracle);
    • Esperienza con SQL Alchemy ORM e Alembic per la gestione delle migrazioni;
    • Conoscenza approfondita dell'ambiente Docker;
    • Competenza nell'utilizzo di sistemi basati su GNU/Linux;
    • Conoscenza di sistemi di versioning come Git.

    Plus

    • Competenze in ambito geospaziale (gdal);
    • Competenze in ambito data scientist (numpy,pandas);
    • Competenze nei processi DevOps.

    Le Soft Skills Che Riteniamo Importanti

    Siamo alla ricerca di una persona orientata al team working e al risultato, con ottime doti comunicative ed in grado di gestire autonomamente le scadenza e la pianificazione delle attività.

    Dedicated to Growth

    Che si tratti di un software, di una soluzione tecnologica o di una consulenza, al cuore di ogni progetto ci sono sempre persone che lavorano insieme ad altre persone. Competenti e curiose, ambiziose e tenaci: alle Deda People piace imparare, confrontarsi, migliorare. La dedizione, per noi, è attitudine al miglioramento continuo, ricerca di obiettivi sempre nuovi, raggiungimento di risultati e capacità di lavorare insieme. ll nostro impegno è far crescere le persone perché possano migliorare, esprimere al meglio il proprio potenziale e contribuire alla costruzione di un futuro migliore: per sé, per Deda e per la società tutta. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +4002995548,https://it.linkedin.com/jobs/view/software-engineer-python-and-k8s-at-canonical-4002995548?position=1&pageNum=5&refId=YRnRHZGC1yB6UNj1PyWexA%3D%3D&trackingId=LOsO47q8%2FqkLi8%2BqkSG1Ig%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer - Python and K8s,Canonical,"Rome, Latium, Italy","Our mission is to reinvent the way companies manage their open source information systems - on public clouds and in their own data centres. To achieve that we are building a new community around Python opscode for open source applications, running on Kubernetes. We want to move all of Canonical and Ubuntu IS onto this new, open source codebase. + +We are confident that we can dramatically improve the experience of running complex business operations - and then we can help our customers embrace those new techniques and products. Traditionally, IS is an inward-facing operation. We would like to transform our IS team into an extension of the product engineering capability at Canonical. Our internal workloads are in many cases the same open source workloads that our customers want to operate. This team will productise those workloads for real-time automated operations on Kubernetes. + +This role is ideal for software engineers who enjoy Python, have a passion for distributed systems, and an interest in the entire Linux stack - from kernel to networking to virtualization and containers. It is a role that requires rigour in both code and customer interactions. Our engineers are technically astute open source enthusiasts who are excited about cloud computing and are ready to join a global team charged with delivering world class services to our customers. + +Strong Python development skills and familiarity with Kubernetes are key requirements of this role. You'll work closely with other teams in Canonical to ensure your products operate reliably, efficiently and scale to production sized workloads for our customers looking to adopt cutting-edge technology. You will participate and be responsible for ensuring sound software architecture and follow best practices in software quality, testing and documentation. + +What you'll do + + +Work in Python to design and deliver open source software operations code +Work across the entire Linux stack, from kernel, networking, storage, to applications +Learn to think rigorously about application and infrastructure reliability +Shape high quality open source monitoring and alerting infrastructure +Simplify open source operations for our customers and open source community +Demonstrate sound engineering design and testing principles in your code +Follow agile software development practices +Coach and develop your colleagues where you have insights +Grow a healthy, collaborative engineering culture in line with company values +Work from home with global travel once or twice a year for up to 2 weeks for events + + +Who you are + + +You love technology and working with brilliant people +You have a Bachelor's or equivalent in Computer Science, STEM or similar degree +You are experienced with Linux systems administration, package management, and operations +You have hands-on experience with at least one public cloud +You are familiar with Docker and Kubernetes +You are an experienced Python programmer and enjoy challenging projects +You understand the importance of reliable software and strive to design and code to that expectation +You are organized and want your team to deliver timely, high quality software + + +About Canonical + +Canonical is a growing international software company that works with the open-source community to deliver Ubuntu, ""the world's best free software platform"". Our mission is to realise the potential of free software in the lives of individuals and organisations. Our services are helping individuals and businesses worldwide to reduce costs, improve efficiency and enhance security with Ubuntu. + +We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration. + +#Stack + + +Show more ","
    + + + + + +
    +
    + Our mission is to reinvent the way companies manage their open source information systems - on public clouds and in their own data centres. To achieve that we are building a new community around Python opscode for open source applications, running on Kubernetes. We want to move all of Canonical and Ubuntu IS onto this new, open source codebase.

    We are confident that we can dramatically improve the experience of running complex business operations - and then we can help our customers embrace those new techniques and products. Traditionally, IS is an inward-facing operation. We would like to transform our IS team into an extension of the product engineering capability at Canonical. Our internal workloads are in many cases the same open source workloads that our customers want to operate. This team will productise those workloads for real-time automated operations on Kubernetes.

    This role is ideal for software engineers who enjoy Python, have a passion for distributed systems, and an interest in the entire Linux stack - from kernel to networking to virtualization and containers. It is a role that requires rigour in both code and customer interactions. Our engineers are technically astute open source enthusiasts who are excited about cloud computing and are ready to join a global team charged with delivering world class services to our customers.

    Strong Python development skills and familiarity with Kubernetes are key requirements of this role. You'll work closely with other teams in Canonical to ensure your products operate reliably, efficiently and scale to production sized workloads for our customers looking to adopt cutting-edge technology. You will participate and be responsible for ensuring sound software architecture and follow best practices in software quality, testing and documentation.

    What you'll do

    • Work in Python to design and deliver open source software operations code
    • Work across the entire Linux stack, from kernel, networking, storage, to applications
    • Learn to think rigorously about application and infrastructure reliability
    • Shape high quality open source monitoring and alerting infrastructure
    • Simplify open source operations for our customers and open source community
    • Demonstrate sound engineering design and testing principles in your code
    • Follow agile software development practices
    • Coach and develop your colleagues where you have insights
    • Grow a healthy, collaborative engineering culture in line with company values
    • Work from home with global travel once or twice a year for up to 2 weeks for events

    Who you are

    • You love technology and working with brilliant people
    • You have a Bachelor's or equivalent in Computer Science, STEM or similar degree
    • You are experienced with Linux systems administration, package management, and operations
    • You have hands-on experience with at least one public cloud
    • You are familiar with Docker and Kubernetes
    • You are an experienced Python programmer and enjoy challenging projects
    • You understand the importance of reliable software and strive to design and code to that expectation
    • You are organized and want your team to deliver timely, high quality software

    About Canonical

    Canonical is a growing international software company that works with the open-source community to deliver Ubuntu, ""the world's best free software platform"". Our mission is to realise the potential of free software in the lives of individuals and organisations. Our services are helping individuals and businesses worldwide to reduce costs, improve efficiency and enhance security with Ubuntu.

    We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration.

    #Stack

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3869608759,https://it.linkedin.com/jobs/view/developer-full-stack-m-f-x-at-bnl-bnp-paribas-3869608759?position=2&pageNum=5&refId=YRnRHZGC1yB6UNj1PyWexA%3D%3D&trackingId=J95uDiK69orfhQqhWlddng%3D%3D&trk=public_jobs_jserp-result_search-card,Developer Full-Stack (m/f/x),BNL BNP Paribas,"Rome, Latium, Italy","Ti piacerebbe lavorare come “Full-Stack Developer” nella Direzione IT di BNL? + +Entrare a far parte di BNL Gruppo BNP Paribas significa lavorare in una delle principali banche italiane, parte di un Gruppo internazionale leader europeo nei servizi bancari e finanziari, presente in più di 64 paesi con circa 184 mila collaboratori. Significa quindi lavorare in un ambiente sfidante, con una cultura internazionale e fortemente orientato all’innovazione. + +Cosa fa la struttura di Digital Channel -Design & Development + +La missione della tribe è di gestire l’evoluzione e la manutenzione dei Canali Digitali della Banca, le applicazioni di CRM e realizzare in modo industriale le capabilities Digitali a supporto dei diversi Customer Journey dei clienti. + +Cosa farai concretamente? + +Parteciperai attivamente alle attività di Quality & Maintenance della Tribe che ha l’obiettivo di : + +Garantire il run delle applicazioni +Migliorare la qualità degli asset e dei relativi servizi offerti ai clienti +Assicurare un allineamento per la gestione delle attività di IT Production e Security + +In particolare dovrai effettuare supporto di secondo livello, interagendo e guidando i team di supporto, gestendo in maniera efficace i ticket di manutenzione entro gli SLA definiti ed applicando la classificazione dei ticket di manutenzione per indirizzare azioni di miglioramento continuo dei processi automatizzati + +Dovrai analizzare i problemi applicativi in produzione ed analizzare le esigenze aziendali per evolvere le applicazioni e i processi esistenti; progettare e sviluppare nuove applicazioni o parti di esse quando richiesto, nonché collaborare all'analisi di nuove soluzioni tecnologiche + +Il/la candidato/a ideale: + + + + +· Ha spiccate capacità di problem solving + +· Lavora bene in gruppo in ottica collaborativa ed è dotato di buona capacità comunicativa + +· E’ abile nella gestione delle anomalie coinvolgendo e coordinando attivamente i diversi interlocutori necessari all’analisi dei ticket e alla risoluzione dei problemi. + +· È abile nella capacità di sintesi e semplificazione + +· Organizza le attività per priorità e gestisce con facilità gli imprevisti + + + + +Il/la candidato/a ideale conosce: + +· Java + +· Java Spring Boot + +· Angular + +· Oracle, + +· IBM Data Stage + +· Lingua Inglese (livello B2) + +inoltre preferita esperienza su: +Splunk +Kubernetes +Hibernate +Junit +Data: PostgresSQL, DB2, MongoDB, Apache Kafka +DEVOPS: jenkins, maven, nexus, sonarQube +Conoscenza di architetture cloud, microservizi, container etc. +Conoscenza di architetture web, applicazioni client/server, servizi API +Processi Devops e continuous integration; +GIT e il processo GitFlow; + + + + +Il background del/la candidato/a ideale: + +· Ha conseguito una laurea nelle discipline STEM o cultura equivalente; + +· Il Full-Stack Developer ha almeno tre/cinque anni di esperienza di analisi e sviluppo, con tre anni di esperienza in attività di progettazione e sviluppo su applicazioni Web, DB e tecnologia client/server, API. + +· Conosce le principali architetture IT Enterprise e i principi fondamentali + +· Conosce e/o ha lavorato con metodologia Agile + +La nostra offerta: + +Il contratto previsto è a tempo indeterminato, la retribuzione segue quanto previsto dal Contratto Collettivo Nazionale del Credito ed è commisurata al livello di esperienza maturata. + + + + +Sede di lavoro + +Roma + +In un mondo che cambia, la diversità e l'inclusione sono valori fondamentali. BNP Paribas offre pari opportunità di lavoro a tutti i candidati idonei e si impegna attivamente a garantire un ambiente di lavoro inclusivo in cui tutte le diversità siano valorizzate. Insieme, costruiamo la banca del domani: innovativa, responsabile e sostenibile. + +Il presente annuncio si rivolge a candidati di ambo i sessi (D.Lgs. 198/2006, Codice Pari Opportunità) + +Show more ","
    + + + + + +
    +
    +

    Ti piacerebbe lavorare come “Full-Stack Developer” nella Direzione IT di BNL?

    Entrare a far parte di BNL Gruppo BNP Paribas significa lavorare in una delle principali banche italiane, parte di un Gruppo internazionale leader europeo nei servizi bancari e finanziari, presente in più di 64 paesi con circa 184 mila collaboratori. Significa quindi lavorare in un ambiente sfidante, con una cultura internazionale e fortemente orientato all’innovazione.

    Cosa fa la struttura di Digital Channel -Design & Development

    La missione della tribe è di gestire l’evoluzione e la manutenzione dei Canali Digitali della Banca, le applicazioni di CRM e realizzare in modo industriale le capabilities Digitali a supporto dei diversi Customer Journey dei clienti.

    Cosa farai concretamente?

    Parteciperai attivamente alle attività di Quality & Maintenance della Tribe che ha l’obiettivo di :

    • Garantire il run delle applicazioni
    • Migliorare la qualità degli asset e dei relativi servizi offerti ai clienti
    • Assicurare un allineamento per la gestione delle attività di IT Production e Security

    In particolare dovrai effettuare supporto di secondo livello, interagendo e guidando i team di supporto, gestendo in maniera efficace i ticket di manutenzione entro gli SLA definiti ed applicando la classificazione dei ticket di manutenzione per indirizzare azioni di miglioramento continuo dei processi automatizzati

    Dovrai analizzare i problemi applicativi in produzione ed analizzare le esigenze aziendali per evolvere le applicazioni e i processi esistenti; progettare e sviluppare nuove applicazioni o parti di esse quando richiesto, nonché collaborare all'analisi di nuove soluzioni tecnologiche

    Il/la candidato/a ideale:


    · Ha spiccate capacità di problem solving

    · Lavora bene in gruppo in ottica collaborativa ed è dotato di buona capacità comunicativa

    · E’ abile nella gestione delle anomalie coinvolgendo e coordinando attivamente i diversi interlocutori necessari all’analisi dei ticket e alla risoluzione dei problemi.

    · È abile nella capacità di sintesi e semplificazione

    · Organizza le attività per priorità e gestisce con facilità gli imprevisti


    Il/la candidato/a ideale conosce:

    · Java

    · Java Spring Boot

    · Angular

    · Oracle,

    · IBM Data Stage

    · Lingua Inglese (livello B2)

    • inoltre preferita esperienza su:
    • Splunk
    • Kubernetes
    • Hibernate
    • Junit
    • Data: PostgresSQL, DB2, MongoDB, Apache Kafka
    • DEVOPS: jenkins, maven, nexus, sonarQube
    • Conoscenza di architetture cloud, microservizi, container etc.
    • Conoscenza di architetture web, applicazioni client/server, servizi API
    • Processi Devops e continuous integration;
    • GIT e il processo GitFlow;


    Il background del/la candidato/a ideale:

    · Ha conseguito una laurea nelle discipline STEM o cultura equivalente;

    · Il Full-Stack Developer ha almeno tre/cinque anni di esperienza di analisi e sviluppo, con tre anni di esperienza in attività di progettazione e sviluppo su applicazioni Web, DB e tecnologia client/server, API.

    · Conosce le principali architetture IT Enterprise e i principi fondamentali

    · Conosce e/o ha lavorato con metodologia Agile

    La nostra offerta:

    Il contratto previsto è a tempo indeterminato, la retribuzione segue quanto previsto dal Contratto Collettivo Nazionale del Credito ed è commisurata al livello di esperienza maturata.


    Sede di lavoro

    Roma

    In un mondo che cambia, la diversità e l'inclusione sono valori fondamentali. BNP Paribas offre pari opportunità di lavoro a tutti i candidati idonei e si impegna attivamente a garantire un ambiente di lavoro inclusivo in cui tutte le diversità siano valorizzate. Insieme, costruiamo la banca del domani: innovativa, responsabile e sostenibile.

    Il presente annuncio si rivolge a candidati di ambo i sessi (D.Lgs. 198/2006, Codice Pari Opportunità)

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3942686363,https://it.linkedin.com/jobs/view/deep-learning-architect-generative-ai-innovation-center-at-amazon-web-services-aws-3942686363?position=3&pageNum=5&refId=YRnRHZGC1yB6UNj1PyWexA%3D%3D&trackingId=NN7zRBuMomMcKGUXGHck0w%3D%3D&trk=public_jobs_jserp-result_search-card,"Deep Learning Architect, Generative AI Innovation Center",Amazon Web Services (AWS),"Rome, Latium, Italy","Description + +The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI. + +As a Deep Learning Architect, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. + +We’re looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. + +AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. + +Key job responsibilities + + +Collaborate with ML scientist and engineers to Research, design and develop cutting-edge generative AI algorithms to address real-world challenges +Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership +Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI +Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform +Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder +Provide customer and market feedback to Product and Engineering teams to help define product direction. + + +About The Team + +Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to: + + +Imagine new applications of generative AI to address your needs. +Identify new use cases based on business value. +Integrate Generative AI into your existing applications and workflows. + + +Diverse Experiences + +AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. + +Why AWS? + +Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. + +Inclusive Team Culture + +Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. + +Mentorship & Career Growth + +We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. + +Work/Life Balance + +We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. + +Basic Qualifications + + +Experience in design, implementation, or consulting in applications and infrastructures +Bachelor’s degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military +Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers +Experience communicating across technical audiences +Knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences) + + +Preferred Qualifications + + +Knowledge of Generative AI and hands-on experience of building applications with large foundation models +Knowledge of AWS platform and tools +Hands-on experience of building ML solutions on AWS +Experience in professional software development +Scientific thinking and the ability to invent, thought leadership and contributions in the field + + +Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. + + +Company - AWS EMEA SARL (Italy Branch) - G99 + +Job ID: A2662532 +Show more ","
    + + + + + +
    +
    + Description

    The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

    As a Deep Learning Architect, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.

    We’re looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

    AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

    Key job responsibilities

    • Collaborate with ML scientist and engineers to Research, design and develop cutting-edge generative AI algorithms to address real-world challenges
    • Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership
    • Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI
    • Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform
    • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
    • Provide customer and market feedback to Product and Engineering teams to help define product direction.

    About The Team

    Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to:

    • Imagine new applications of generative AI to address your needs.
    • Identify new use cases based on business value.
    • Integrate Generative AI into your existing applications and workflows.

    Diverse Experiences

    AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

    Why AWS?

    Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

    Inclusive Team Culture

    Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

    Mentorship & Career Growth

    We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

    Work/Life Balance

    We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

    Basic Qualifications

    • Experience in design, implementation, or consulting in applications and infrastructures
    • Bachelor’s degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military
    • Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers
    • Experience communicating across technical audiences
    • Knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)

    Preferred Qualifications

    • Knowledge of Generative AI and hands-on experience of building applications with large foundation models
    • Knowledge of AWS platform and tools
    • Hands-on experience of building ML solutions on AWS
    • Experience in professional software development
    • Scientific thinking and the ability to invent, thought leadership and contributions in the field

    Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.


    Company - AWS EMEA SARL (Italy Branch) - G99

    Job ID: A2662532 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-10,[] +3996371157,https://it.linkedin.com/jobs/view/developer-at-enginium-3996371157?position=4&pageNum=5&refId=YRnRHZGC1yB6UNj1PyWexA%3D%3D&trackingId=FHneVPygIhAUQfXMCXoyBw%3D%3D&trk=public_jobs_jserp-result_search-card,Developer,Enginium,"Rome, Latium, Italy","Siamo alla ricerca di un programmatore VHDL che desideri inserirsi in un contesto strutturato nel settore Aerospace & Defense e voglia svolgere un’attività prevalentemente di programmazione. + + + + +Your profile: + +Laurea in Ingegneria Informatica/ elettronica/ aerospaziale o simile; +Esperienza di almeno 2 anni continuativi nell'attività; +Comprovata conoscenza del linguaggio VHDL e di Verilog; +Conoscenza del linguaggio Matlab e Python (base); +La conoscenza del settore aerospaziale o della difesa costituisce un plus. + + + + +How can you make the difference with us? + +Predisposizione al lavoro in team e ottima capacità di analisi e problem solving; +Proattività, energia e forte orientamento ai risultati. +Buona conoscenza della lingua inglese scritta e parlata. + +What we offer: + +Un piano di crescita professionale in un ambiente di lavoro dinamico; +Follow up costanti con il dipartimento HR e di Business; +Strumenti di formazione per le tue hard e soft skills; +E’ previsto un programma di Welfare aziendale dedicato ai dipendenti del gruppo; +Piattaforma Gympass; +Contratto a tempo indeterminato. + + + + +Portaci la tua curiosità insieme al desiderio di sfidare la quotidianità e noi ti offriremo la responsabilità che cerchi. + +Make the difference with us! + +Where? + +Roma + + + + + + + +I candidati ambosessi (D.lgs n. 198/2006) sono invitati a leggere l’informativa privacy ai sensi degli artt. 13 e 14 del Reg. EU 679/2016 al seguente indirizzo: https://www.enginium.eu/entra-nel-team/privacy-candidati/. + +Show more ","
    + + + + + +
    +
    +

    Siamo alla ricerca di un programmatore VHDL che desideri inserirsi in un contesto strutturato nel settore Aerospace & Defense e voglia svolgere un’attività prevalentemente di programmazione.


    Your profile:

    • Laurea in Ingegneria Informatica/ elettronica/ aerospaziale o simile;
    • Esperienza di almeno 2 anni continuativi nell'attività;
    • Comprovata conoscenza del linguaggio VHDL e di Verilog;
    • Conoscenza del linguaggio Matlab e Python (base);
    • La conoscenza del settore aerospaziale o della difesa costituisce un plus.


    How can you make the difference with us?

    • Predisposizione al lavoro in team e ottima capacità di analisi e problem solving;
    • Proattività, energia e forte orientamento ai risultati.
    • Buona conoscenza della lingua inglese scritta e parlata.

    What we offer:

    • Un piano di crescita professionale in un ambiente di lavoro dinamico;
    • Follow up costanti con il dipartimento HR e di Business;
    • Strumenti di formazione per le tue hard e soft skills;
    • E’ previsto un programma di Welfare aziendale dedicato ai dipendenti del gruppo;
    • Piattaforma Gympass;
    • Contratto a tempo indeterminato.


    Portaci la tua curiosità insieme al desiderio di sfidare la quotidianità e noi ti offriremo la responsabilità che cerchi.

    Make the difference with us!

    Where?

    Roma



    I candidati ambosessi (D.lgs n. 198/2006) sono invitati a leggere l’informativa privacy ai sensi degli artt. 13 e 14 del Reg. EU 679/2016 al seguente indirizzo: https://www.enginium.eu/entra-nel-team/privacy-candidati/.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3934927933,https://it.linkedin.com/jobs/view/neolaureati-%E2%80%93-cloud-data-engineer-at-ntt-data-italia-3934927933?position=5&pageNum=5&refId=YRnRHZGC1yB6UNj1PyWexA%3D%3D&trackingId=c5QdY%2FI4j43nNdtmV9bZlg%3D%3D&trk=public_jobs_jserp-result_search-card,Neolaureati – Cloud Data Engineer,NTT DATA Italia,"Rome, Latium, Italy","Vorresti iniziare la tua carriera professionale in un contesto multinazionale, altamente specializzato ed innovativo? + +Se ti sei appena laureato o stai per laurearti questa potrebbe essere la giusta opportunità per te. + +Siamo NTT DATA, tra i principali player a livello mondiale in ambito IT services. Con più di 151.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura. Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine. Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze. Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento! + +Non è indispensabile avere esperienze pregresse, cerchiamo giovani che abbiano passione, voglia di imparare e crescere insieme al team. + +Verrai inserito/a nel centro di competenza Data & Intelligence, qui con il supporto dei 600 colleghi/e che compongono l’area potrai iniziare il tuo percorso come Cloud Data Engineer trasformando le tue conoscenze accademiche in competenze tecniche. + +Parteciperai a progetti innovativi all’interno di team strutturati in affiancamento a figure senior, in un'ottica di formazione e sviluppo costante. + +Le tecnologie/tematiche che potrai approfondire ricoprendo questo ruolo in NTT DATA sono: + + +Python, Scala, Kafka, Spark, Java; +Databricks +Snowflake +Google Cloud Platform, Microsoft Azure , Amazon Web Services; +Data migration, Datalake, Datawarehouse, Data modeling; +Hadoop, Hive, HDFS, Hbase +Metodologia Agile + + + +Requisiti Richiesti + + +Laurea Informatica/Ingegneria Informatica +Interesse/passione per attività legate allo sviluppo del codice +Conoscenza della lingua inglese + + + +Sedi: Milano, Roma, Napoli, Salerno, Bologna, Bari, +Show more ","
    + + + + + +
    +
    + Vorresti iniziare la tua carriera professionale in un contesto multinazionale, altamente specializzato ed innovativo?

    Se ti sei appena laureato o stai per laurearti questa potrebbe essere la giusta opportunità per te.

    Siamo NTT DATA, tra i principali player a livello mondiale in ambito IT services. Con più di 151.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura. Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine. Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze. Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento!

    Non è indispensabile avere esperienze pregresse, cerchiamo giovani che abbiano passione, voglia di imparare e crescere insieme al team.

    Verrai inserito/a nel centro di competenza Data & Intelligence, qui con il supporto dei 600 colleghi/e che compongono l’area potrai iniziare il tuo percorso come Cloud Data Engineer trasformando le tue conoscenze accademiche in competenze tecniche.

    Parteciperai a progetti innovativi all’interno di team strutturati in affiancamento a figure senior, in un'ottica di formazione e sviluppo costante.

    Le tecnologie/tematiche che potrai approfondire ricoprendo questo ruolo in NTT DATA sono:

    • Python, Scala, Kafka, Spark, Java;
    • Databricks
    • Snowflake
    • Google Cloud Platform, Microsoft Azure , Amazon Web Services;
    • Data migration, Datalake, Datawarehouse, Data modeling;
    • Hadoop, Hive, HDFS, Hbase
    • Metodologia Agile


    Requisiti Richiesti

    • Laurea Informatica/Ingegneria Informatica
    • Interesse/passione per attività legate allo sviluppo del codice
    • Conoscenza della lingua inglese


    Sedi: Milano, Roma, Napoli, Salerno, Bologna, Bari, +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +3986084012,https://it.linkedin.com/jobs/view/software-engineer-at-logistics-reply-3986084012?position=6&pageNum=5&refId=YRnRHZGC1yB6UNj1PyWexA%3D%3D&trackingId=UOdk6M7K60JWLaoyKVWW%2Bg%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer,Logistics Reply,Greater Rome Metropolitan Area,"Full Stack Developer on Microservices Platform LEA Reply™ + + + + +Logistics Reply Roma is one of the latest Reply companies with a special mission and focus: helping customers complete the digitization and modernization of their logistics services. We specialize in Supply Chain and offer warehouse and distribution management solutions through the innovative microservices-based LEA Reply™ Platform. + + + + +We are looking for a Full Stack Developer with previous experience in the same or similar role who is willing to accept a new challenge and think about the next career step. + +No matter if the technology you are working on is different, we will give you the right tools to become an expert on our platform. The most important thing is your passion for programming! + + + + +You will join our team working on Supply Chain projects for Key Customers from different industries. Logistics is a fundamental service for almost every kind of business in 2023, and this will give you the opportunity to oversee a variety of customers, including Logistic, Postal and parcel Operator, Healthcare, Telco, Utilities, and more. + +This figure will take part of our delivery team for solutions based on LEA Reply™, and it will be a great opportunity to increase your technical skills and contribute to improving our platform with innovative ideas. + + + + +The necessary training will be provided during the onboarding period through: + +Working closely with Senior Full Stack Developers of the company; +Training on LEA Reply™ and logistic context to give you the right fundamentals. + + + + +ABOUT YOUR JOB + +This position includes a lot of opportunities to grow your skills and competencies: + +Deliver improvements on the LEA Reply™ platform, the latest evolution of logistics software: a digital, modular, and cloud-native platform for connected, agile, and visionary supply chains; +Contribute to the whole development lifecycle (analysis, design, development, testing, release management, continuous integration, and delivery) using Java, JavaScript, and Android programming languages; +Work on a solution deployed on AWS Cloud; +Design and develop scalable and resilient applications based on microservices architectures (Web Applications, Mobile applications, large and complex backend systems, Integrations with external systems and technologies); +Proactively bring in your own ideas for our continuous improvement process; +Share knowledge on new technologies, architecture methodologies, standards, leading practices; +Work in an agile (SCRUM approach) and growing team; +Ensure the delivery of top-quality SaaS solutions to our customers. + + + + +ABOUT OUR OFFER: + +The opportunity to join a new Reply startup and to contribute to its growth; +Hybrid working (specific needs can be discussed and addressed); +The chance to work on exciting projects dealing with important customers of various sectors; +Personalized growth path; +Rapid technical and soft skills acquisition, including training on the AWS platform; +Involvement in the complete software lifecycle of new technologies; +Stimulating, young, and cohesive work environment. + + + + +ABOUT LOGISTICS REPLY ROMA + +Logistics Reply Roma is a new startup of the Reply Group, already running its business with a strong customer baseline and a strong team based in Roma. This company is one of the Reply Logistics in the world, with > 200 customers on 5 continents and offices in Italy, the UK, Germany, the USA, and Brazil. + + + + +The possibility of joining this kind of opportunity is not so frequent, and it could just be the right “next step” for you, so don’t hesitate to ask us for more information! + + + + +Apply with your most recent CV. + +Show more ","
    + + + + + +
    +
    +

    Full Stack Developer on Microservices Platform LEA Reply™


    Logistics Reply Roma is one of the latest Reply companies with a special mission and focus: helping customers complete the digitization and modernization of their logistics services. We specialize in Supply Chain and offer warehouse and distribution management solutions through the innovative microservices-based LEA Reply™ Platform.


    We are looking for a Full Stack Developer with previous experience in the same or similar role who is willing to accept a new challenge and think about the next career step.

    No matter if the technology you are working on is different, we will give you the right tools to become an expert on our platform. The most important thing is your passion for programming!


    You will join our team working on Supply Chain projects for Key Customers from different industries. Logistics is a fundamental service for almost every kind of business in 2023, and this will give you the opportunity to oversee a variety of customers, including Logistic, Postal and parcel Operator, Healthcare, Telco, Utilities, and more.

    This figure will take part of our delivery team for solutions based on LEA Reply™, and it will be a great opportunity to increase your technical skills and contribute to improving our platform with innovative ideas.


    The necessary training will be provided during the onboarding period through:

    • Working closely with Senior Full Stack Developers of the company;
    • Training on LEA Reply™ and logistic context to give you the right fundamentals.


    ABOUT YOUR JOB

    This position includes a lot of opportunities to grow your skills and competencies:

    • Deliver improvements on the LEA Reply™ platform, the latest evolution of logistics software: a digital, modular, and cloud-native platform for connected, agile, and visionary supply chains;
    • Contribute to the whole development lifecycle (analysis, design, development, testing, release management, continuous integration, and delivery) using Java, JavaScript, and Android programming languages;
    • Work on a solution deployed on AWS Cloud;
    • Design and develop scalable and resilient applications based on microservices architectures (Web Applications, Mobile applications, large and complex backend systems, Integrations with external systems and technologies);
    • Proactively bring in your own ideas for our continuous improvement process;
    • Share knowledge on new technologies, architecture methodologies, standards, leading practices;
    • Work in an agile (SCRUM approach) and growing team;
    • Ensure the delivery of top-quality SaaS solutions to our customers.


    ABOUT OUR OFFER:

    • The opportunity to join a new Reply startup and to contribute to its growth;
    • Hybrid working (specific needs can be discussed and addressed);
    • The chance to work on exciting projects dealing with important customers of various sectors;
    • Personalized growth path;
    • Rapid technical and soft skills acquisition, including training on the AWS platform;
    • Involvement in the complete software lifecycle of new technologies;
    • Stimulating, young, and cohesive work environment.


    ABOUT LOGISTICS REPLY ROMA

    Logistics Reply Roma is a new startup of the Reply Group, already running its business with a strong customer baseline and a strong team based in Roma. This company is one of the Reply Logistics in the world, with > 200 customers on 5 continents and offices in Italy, the UK, Germany, the USA, and Brazil.


    The possibility of joining this kind of opportunity is not so frequent, and it could just be the right “next step” for you, so don’t hesitate to ask us for more information!


    Apply with your most recent CV.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-28,[] +4007109464,https://it.linkedin.com/jobs/view/data-and-ai-engineer-for-global-p-c-team-at-allianz-italia-4007109464?position=7&pageNum=5&refId=YRnRHZGC1yB6UNj1PyWexA%3D%3D&trackingId=0QgR0wMpJTYAVEYAQTKSxw%3D%3D&trk=public_jobs_jserp-result_search-card,Data and AI Engineer for Global P&C Team,Allianz Italia,"Rome, Latium, Italy","Global P&C is an Allianz SE department established in 2011 as continuation of the Centre of Competence project started in 2005. Its mission is supporting all Allianz P&C Entities to be outstanding in technical excellence by leveraging Allianz Capabilities. The department is organized in 6 teams and Global P&C - Pricing is one of the first team established thus it can count on a solid recognition from the Group and the local entities built on more than 10 years of activity. + +Global P&C Pricing team is responsible for identifying, supporting implementation and ensuring standards, best practices and guidelines for data management, tariff development, portfolio analysis and monitoring. Specifically, the team oversees: + + +Joint projects with the Allianz local entities around the world: we collaborate with local entities on pricing projects concerning mainly technical pricing, behavioural models, price optimization, scenario analysis, development of pricing and portfolio management tools. +Research and development on Data & Analytics and tools to enhance the level of sophistication always considering the business relevance and impact +Knowledge sharing and training of best practices: we design and facilitate P&C Pricing Academy courses to the wide community of pricing analyst of Allianz Group. +Review activities: periodically we review the full pricing process of each local entity to ensure the standardization and harmonization of pricing processes and the implementation of best practices across the group. + + +Key Responsibilities + + +Engage in collaborative efforts with the data science team to comprehend data requirements and develop robust data models, effectively visualizing key data insights for impactful storytelling. +Enhance business processes by proficiently managing the lifecycle of data and AI models, ensuring their relevance and accuracy over time. +Architect, construct, and launch innovative data extraction, transformation, and loading processes to craft data pipelines and dashboards, utilizing advanced object-oriented programming languages and modern web frameworks. +Maintain and improve existing production processes by identifying and implementing optimized, scalable solutions. +Contribute to Research and Development initiatives to discover and integrate cutting-edge technical solutions that propel the organization forward. +Synthesize complex data findings and communicate them clearly, ensuring that both internal and external stakeholders receive understandable and actionable insights. + + +Key Requirements/Skills/Experience + + +Master’s degree in Computer Engineering, Data Engineering, or a closely related field. +Preferably +1-2 years working experience in a Data Engineering role +Knowledge in SQL, ETL processes, data modeling, and programming language (e.g. Python, Julia) +Experience with DataOps practices, contributing to the continuous improvement of data workflows. +Knowledge of Cloud Services including AWS, GCP, Azure, and their application in data engineering tasks. +Familiarity with MLOps concepts and tools like MLFlow to streamline machine learning lifecycle management. +Competent with Linux environments, version control using GIT, and automation tools like Jenkins. +Proficient understanding of both SQL and NoSQL database technologies. +Experience with containerization and orchestration technologies such as Docker and Kubernetes. +Fluency in Italian and English +Excellent communication skills +Willingness to travel internationally for business needs. +International exposure through academic or professional experiences. +Demonstrated ability to work effectively as part of a diverse, multidisciplinary team. + + +48853 | Data & Analytics | Entry Level | Allianz Italy | Full-Time | Permanent + +Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. + +We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. + +We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation. + +Join us. Let's care for tomorrow. + +Both genders may apply in accordance with the L. 903/77 (s.m.i). +Show more ","
    + + + + + +
    +
    + Global P&C is an Allianz SE department established in 2011 as continuation of the Centre of Competence project started in 2005. Its mission is supporting all Allianz P&C Entities to be outstanding in technical excellence by leveraging Allianz Capabilities. The department is organized in 6 teams and Global P&C - Pricing is one of the first team established thus it can count on a solid recognition from the Group and the local entities built on more than 10 years of activity.

    Global P&C Pricing team is responsible for identifying, supporting implementation and ensuring standards, best practices and guidelines for data management, tariff development, portfolio analysis and monitoring. Specifically, the team oversees:

    • Joint projects with the Allianz local entities around the world: we collaborate with local entities on pricing projects concerning mainly technical pricing, behavioural models, price optimization, scenario analysis, development of pricing and portfolio management tools.
    • Research and development on Data & Analytics and tools to enhance the level of sophistication always considering the business relevance and impact
    • Knowledge sharing and training of best practices: we design and facilitate P&C Pricing Academy courses to the wide community of pricing analyst of Allianz Group.
    • Review activities: periodically we review the full pricing process of each local entity to ensure the standardization and harmonization of pricing processes and the implementation of best practices across the group.

    Key Responsibilities

    • Engage in collaborative efforts with the data science team to comprehend data requirements and develop robust data models, effectively visualizing key data insights for impactful storytelling.
    • Enhance business processes by proficiently managing the lifecycle of data and AI models, ensuring their relevance and accuracy over time.
    • Architect, construct, and launch innovative data extraction, transformation, and loading processes to craft data pipelines and dashboards, utilizing advanced object-oriented programming languages and modern web frameworks.
    • Maintain and improve existing production processes by identifying and implementing optimized, scalable solutions.
    • Contribute to Research and Development initiatives to discover and integrate cutting-edge technical solutions that propel the organization forward.
    • Synthesize complex data findings and communicate them clearly, ensuring that both internal and external stakeholders receive understandable and actionable insights.

    Key Requirements/Skills/Experience

    • Master’s degree in Computer Engineering, Data Engineering, or a closely related field.
    • Preferably
    • 1-2 years working experience in a Data Engineering role
    • Knowledge in SQL, ETL processes, data modeling, and programming language (e.g. Python, Julia)
    • Experience with DataOps practices, contributing to the continuous improvement of data workflows.
    • Knowledge of Cloud Services including AWS, GCP, Azure, and their application in data engineering tasks.
    • Familiarity with MLOps concepts and tools like MLFlow to streamline machine learning lifecycle management.
    • Competent with Linux environments, version control using GIT, and automation tools like Jenkins.
    • Proficient understanding of both SQL and NoSQL database technologies.
    • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
    • Fluency in Italian and English
    • Excellent communication skills
    • Willingness to travel internationally for business needs.
    • International exposure through academic or professional experiences.
    • Demonstrated ability to work effectively as part of a diverse, multidisciplinary team.

    48853 | Data & Analytics | Entry Level | Allianz Italy | Full-Time | Permanent

    Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.

    We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.

    We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.

    Join us. Let's care for tomorrow.

    Both genders may apply in accordance with the L. 903/77 (s.m.i). +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[]