Senior Data Scientist - Client-Facing AI & Production ML

Ntt; Latina; In loco; EUR 42.000 - 65.000; Tempo pieno

Descrizione del lavoro

NTT is seeking a data science leader to own end-to-end data science projects in a client-facing, cross-functional environment. You will drive generative AI, cloud/hybrid ML, and productionized pipelines to deliver business value in insurance-related domains.

You will collaborate with data scientists, engineers, product managers, and stakeholders across internal and external teams, coordinating multiple projects and serving as the primary client contact to ensure timely delivery and high-quality

Competenze

• 3–5 years as data scientist.
• Strong Python 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.
• Clear communication with stakeholders.

Mansioni

• Lead end-to-end data science projects from data wrangling to deployment.
• Collaborate with data scientists, engineers, product managers, and stakeholders from internal teams and external clients.
• Coordinate multiple projects and teams to ensure timely delivery.
• Act as the main point of contact with client-side stakeholders.
• Ensure project tasks are delivered on time and to a high standard.
• Own the full stack execution of data science projects including data ingestion, cleaning, feature engineering and model training/prediction.
• Develop productionized pipelines with data ingestion, cleaning and model training.

Conoscenze

Python

SQL

Java/Scala

C++/R

TensorFlow

PyTorch

Generative AI

ML pipelines

Cloud ML

Communication

Descrizione del lavoro

NTT is seeking a data science leader to own end-to-end data science projects in a client-facing, cross-functional environment. You will drive generative AI, cloud/hybrid ML, and productionized pipelines to deliver business value in insurance-related domains.

You will collaborate with data scientists, engineers, product managers, and stakeholders across internal and external teams, coordinating multiple projects and serving as the primary client contact to ensure timely delivery and high-quality