Data Scientist
Pubblicato il 02-10-2026 - A Boutique Consultancy in Gallicano Nel Lazio
Data Scientist - €50,000 - €80,000 plus premio - Rome, Italy (hybrid)An established boutique consultancy is seeking a Data Scientist to join its growing team. The firm applies advanced microeconomic theory and data-driven analysis to complex real-world challenges across competition policy, litigation, and regulation. Working with leading regulators, law firms, and private sector clients across Europe, the consultancy is known for combining theoretical rigour with robust empirical evidence and is now looking to strengthen and modernise its internal analytical workflows. Faccia clic su "Candidati" qui sotto per inviare la sua candidatura. Si assicuri che il suo CV sia aggiornato e di aver prima letto le specifiche del lavoro.
RoleThis is a hybrid role combining workflow development, hands-on analysis, and internal capability building. The successful candidate will help improve the efficiency and accuracy of data analysis processes, introduce best practices around reproducibility, documentation, and modular coding, and train and support applied economists in modern tools and approaches.
Alongside this, the role involves direct contribution to client projects, including applied microeconomic analysis, damages estimation, and policy evaluation. The position offers a genuine opportunity to shape standards and best practice across a specialist consultancy.
Key Responsibilities
- Review, refine, and enhance internal data analysis protocols, primarily using Python and StataDesign
- Design and implement reproducible, readable, and scalable analytical workflows
- Translate economic and analytical requirements into modular, well-documented code
- Introduce and embed best practices around version control, testing, formatting, and documentation
- Train and support applied economists in Python and modern data science tooling
- Contribute directly to client work, including data cleaning, modelling, damages estimation, and policy evaluation
- Support peer review, replication, and qua