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
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