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

📌 Data Scientist Senior - Genai Solutions (Latina)
🏢 Ntt Data
📍 Latina