Data Scientist
Pubblicato il 16-10-2026 - Altro in Italia
We are currently looking for an experienced Data Scientist to join our Data & Analytics team.
This position is a unique opportunity to unlock insights contained in the data universe working in a dynamic and innovative environment.
We are looking for candidates with an international background that have experience and strong knowledge in Data Analytics applications in multi-disciplinary environments that provide real-world impact for organizations.
You will be based in our office in Milan (preferably) or in Turin.
Background & Experience Master's Degree in Statistics, Finance, Business Analytics, Mathematics, Physics, Computer Science or related area
4–5 years of experience in Data & Analytics, with proven ability to design and deliver data-driven solutions in business contexts
Technical Skills Experience in developing and applying analytical models and machine learning techniques to solve real business problems (including both predictive and exploratory approaches)
Strong programming skills in Python and familiarity with modern data science libraries and frameworks
Experience working with data across the full lifecycle, from data preparation and exploration to model development and deployment
Familiarity with working in cloud-based data and AI environments (e.g. AWS, Azure, GCP), leveraging advanced analytics and scalable processing capabilities (e.g. Databricks or similar platforms)
Exposure to Generative AI and LLMs, including use cases such as text analysis, content generation, or process automation
Understanding of prompt engineering principles and ability to integrate LLM-based solutions into data and analytics workflows
Awareness of best practices in model lifecycle management, reproducibility and collaboration within data teams
Ability to understand business requirements and identify the best solution to achieve the expected outcome
Ability to handle an analytical project end-to‐end, from business need understanding till results presentation
Ability to commun