Data Scientist Senior - GenAI Solutions

27 set - Pavia
Ntt Data

Overview In this role you will drive data science initiatives for clients and internal teams, applying Generative AI and ML at scale across cloud, hybrid, and on-prem environments. You will lead cross-functional collaboration, manage multiple projects, and serve as the main contact for client stakeholders, delivering high-quality solutions on time. You'll own end-to-end data science work from data prep to deployment, shaping offerings in reinsurance advisory and related domains.

This is a client-facing, impact-oriented role in a global services organization.

Responsabilità

- 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

Requisiti fondamentali
- 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
- 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
- Collaborative mindset
- Strong stakeholder management
- Business acumen
- Python
- SQL
- TensorFlow

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