Senior GenAI Data Scientist – AI Pipelines & Cloud

NTT America, Inc.; Calabria; On-site; EUR 80,000 - 110,000; Full time

Job summary

NTT DATA in Italy seeks a Senior Data Scientist to drive advanced analytics initiatives with a strong focus on Generative AI on Azure/GCP and on-premise platforms. You will lead cross-functional teams, manage multiple projects, and own end-to-end data science workflows from data wrangling to model deployment, while delivering high-quality solutions to clients and stakeholders.

The role requires 3-5 years of experience, Python and SQL mastery, and familiarity with ML frameworks and cloud-native

Qualifications

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

Responsibilities

• Collaborate with data scientists, data engineers, ML Engineers, product managers, 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

Skills

Python

SQL

TensorFlow

PyTorch

Generative AI

Cloud computing

Hybrid ML

Data wrangling

Tools

Azure

GCP

On-premise

Job description

NTT DATA in Italy seeks a Senior Data Scientist to drive advanced analytics initiatives with a strong focus on Generative AI on Azure/GCP and on-premise platforms. You will lead cross-functional teams, manage multiple projects, and own end-to-end data science workflows from data wrangling to model deployment, while delivering high-quality solutions to clients and stakeholders.

The role requires 3-5 years of experience, Python and SQL mastery, and familiarity with ML frameworks and cloud-native