Data scientist
Pubblicato il 30-08-2026 - Lvmh Group in Italia
Drive the design, development, validation and industrialization of Data Science, Machine Learning and Artificial Intelligence solutions that transform business opportunities into scalable, governed and value-generating Data & AI products. Within the central Data & AI Product Unit, the Data Scientist partners with business stakeholders, Data Architects, Data Engineers, Data Domain Owners, Business Product Owners and Data Governance teams to identify high-value AI/ML use cases, build robust analytical solutions, and integrate them into enterprise processes and platforms. The role contributes to the Data & AI transformation agenda by combining statistical rigour, technical excellence, business understanding, Responsible AI principles and production-oriented delivery across traditional AI/ML, Generative AI and Agentic AI initiatives.
Job responsibilities
Design, develop and validate advanced Machine Learning, Artificial Intelligence and predictive analytics models to address concrete business challenges and generate measurable business value. Build models for forecasting, recommendation,
propensity/scoring, optimization, classification, clustering, anomaly detection, simulation and decision support. Analyse large, complex and heterogeneous datasets to identify patterns, drivers, risks, opportunities and actionable insights supporting strategic and operational decision-making.
Apply statistical, econometric, machine learning and experimentation techniques, including model validation, performance evaluation and explainability approaches. Partner with business stakeholders and Data Factory actors to translate business needs into clear AI/ML problem statements, analytical approaches, success metrics and delivery priorities. Contribute to the qualification and prioritization of AI use cases by assessing feasibility, expected value, data readiness, scalability, risks and adoption requirements.
Collaborate with business data teams and domain experts to ensure that model assump