Asks for

The ad says“Work with data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering and model training/prediction;”
The ad says“Work with data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering and model training/prediction;”
The ad says“Own the full stack execution of data science projects from data wrangling, model development, presentation, measurement to deployment;”
The ad says“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.”
The ad says“Own the full stack execution of data science projects from data wrangling, model development, presentation, measurement to deployment;”
The ad says“Work with data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering and model training/prediction;”
The ad says“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.”
The ad says“Knowledge of ML solutions architecture and Generative AI pipelines;”
The ad says“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.”
The ad says“Knowledge of ML solutions architecture and Generative AI pipelines;”
The ad says“Own the full stack execution of data science projects from data wrangling, model development, presentation, measurement to deployment;”
The ad says“Work with data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering and model training/prediction;”
The ad says“Work with data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering and model training/prediction;”
The ad says“Strong Python (mandatory) and SQL coding;”
The ad says“Strong Python (mandatory) and SQL coding;”
The ad says“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.”

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.

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

The 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: 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. You will collaborate with clients, partners, and colleagues from all over the world to create innovative solutions capable of making a real impact on society.

Here, you will have the opportunity to develop new skills and expand your network.

We are present in Italy with over 6,000 employees across our offices in Milan, Rome, Turin, Genoa, Bologna, Treviso, Pisa, Padua, Naples, Cosenza, Bari, and Salerno.

Make this the place where you grow.

Join us!

Asks for

Values