Senior GenAI Data Scientist — Cloud & On-Prem

Ntt Data Italia; Milano; In loco; EUR 70.000 - 100.000; Tempo pieno

Descrizione del lavoro

NTT DATA Italia is seeking a Senior Data Scientist to drive GenAI-based solutions in Milano. The role involves collaborating with cross-functional teams, managing multiple projects, and leading Data Scientists to deliver innovative analytics and AI capabilities for clients.

The ideal candidate has 3–5 years of data science experience, strong Python/SQL, and knowledge of TensorFlow and PyTorch for CV; cloud and hybrid ML deployments are a plus.

Competenze

• 3–5 years of experience as a data scientist.
• Strong Python and SQL coding.
• Java/Scala or C++/R experience is a plus.
• TensorFlow and PyTorch knowledge with focus on computer vision.
• Knowledge of ML architecture and Generative AI pipelines.
• Cloud and hybrid ML implementations.
• Incorporate new data practices to drive efficiencies and revenue.
• Own end-to-end execution of data science projects.

Mansioni

• Collaborate with data scientists, data engineers, ML Engineers, PMs, business analysts, and stakeholders from internal teams and external clients.
• Manage multiple projects simultaneously.
• Lead and coordinate the Data Scientists involved in the projects.
• Act as the main point of contact with client-side stakeholders.
• Ensure that project tasks are delivered on time and executed to a high standard.

Conoscenze

Python

SQL

Java/Scala

C++/R

TensorFlow

PyTorch

ML Architecture

GenAI Pipelines

Cloud ML

Hybrid Deployments

BI Integration

End-to-End Data Science

Production Pipelines

Stakeholder Management

Reinsurance Research

Descrizione del lavoro

NTT DATA Italia is seeking a Senior Data Scientist to drive GenAI-based solutions in Milano. The role involves collaborating with cross-functional teams, managing multiple projects, and leading Data Scientists to deliver innovative analytics and AI capabilities for clients.

The ideal candidate has 3–5 years of data science experience, strong Python/SQL, and knowledge of TensorFlow and PyTorch for CV; cloud and hybrid ML deployments are a plus.