Data Scientist Senior
Pubblicato il 17-10-2026 - NTT America in Ala
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.
Responsibilities
Your contribution in this role:
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
Ideal profile
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
Location: Milano, Bari, Bologna, Cosenza, Napoli, Roma, Salerno, Torino
Build your future with NTT DATA.
Join a global company, a leader in business and technology services, that listens to your voice and recognizes the value of your work.