Support in the development and maintenance of an economic player‑valuation model.
Conduct advanced data science projects (web scraping, NLP, machine learning, predictive modelling) to support multiple business units.
Build and maintain interactive dashboards in Power BI for operational tasks and to analyse, monitor and refine internal processes.
Support business users in implementing analyses for reports, publications and internal research projects.
Design, implement and maintain ETL pipelines for various structured and semi-structured data sources.
Build and maintain data models used for Power BI reports.
Actively collaborate with technical and non‑technical stakeholders, translating business requirements into robust analytical solutions.

Master’s degree in any technical/quantitative field (e.g. Data Science, Economics, Applied Mathematics, Statistics or related disciplines) or equivalent practical experience.
2-5 years of experience in data analytics, data modelling, machine learning, or quantitative research.
Experience applying statistical, econometric, or financial‑economic models to real‑world datasets (e.g., valuation models, forecasting models, risk models).
Proven experience translating business or research questions into robust analytical solutions, supported by clear data visualizations, effectively communicating insights to both technical and non‑technical stakeholders.
Experience working with sports data — particularly football player performance, event data, or tracking data (Opta, Stats Perform, Hawkeye, SportsMonks, etc.) — is an advantage.
Experience on the implementation of option‑value estimation techniques (Black‑Scholes) is an advantage.
Fluent in English
Other languages can be a plus
Expertise in Python data science stack for statistical/econometric modelling.
Experience working with SQL and relational databases.
Experience working with business intelligence tools (Power BI is a plus).
Experience with JavaScript, SSMS, SSDT, Node-RED and MS azure cloud services is a plus.

Data Scientist – Freelancer

Key skills