PNTT 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. /ppGuardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento! /p h3Responsibilities /h3pThe 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. /ppThe 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. /ppHe/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. /ph3Required Skills /h3ulliExperience of at least 3-5 years as data scientist; /liliStrong Python (mandatory) and SQL coding; /liliKnowledge of Java/Scala or C++/R is a plus; /liliTensorflow and Pytorch knowledge with a focus over Computer Vision solutions; /liliKnowledge of ML solutions architecture and Generative AI pipelines; /liliCloud and hybrid ML implementations; /liliIncorporate new, cutting edge business intelligence, machine learning, and alternative data practices into wider organization to drive efficiencies and generate revenue; /liliOwn the full stack execution of data science projects from data wrangling, model development, presentation, measurement to deployment; /liliWork with data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering and model training/prediction; /liliConduct research and analysis into reinsurance and advisory products to augment industry-standard models and develop new market offerings; /liliEstablish and maintain strong relationships with internal team members and external clients /li /ulpLocation: Milano, Bari, Bologna, Cosenza, Napoli, Roma, Salerno, Torino /p #J-18808-Ljbffr