Data Scientist – Senior Consultant
Pubblicato il 16-10-2026 - BearingPoint in Milano
We are currently looking for an experienced Data Scientist to join our Data & Analytics team.
Si assicuri che tutte le informazioni della sua candidatura siano aggiornate e corrette prima di cogliere questa occasione.
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 t