Job Description:
As a Data Scientist, you will develop cutting-edge predictive models and machine learning algorithms for player performance forecasting, injury risk assessment, recruitment targeting, and tactical analysis. You will create bespoke statistical metrics aligned with the Club’s football philosophy and strategic goals, conducting in-depth opposition analysis, player comparisons, set-piece evaluations, and match outcome predictions. Utilizing advanced statistical techniques such as regression, clustering, classification, and time-series forecasting, you will unlock meaningful insights from complex datasets. Additionally, you will build interactive dashboards and analytical tools using Python, R, Tableau, Power BI, and custom web applications, making data accessible and understandable across departments. You will play a vital role in research and innovation by staying current with emerging trends, evaluating new technologies, and enhancing our analytical capabilities. Collaborating with our external Data Platform partner, you will design and maintain scalable data pipelines and databases, ensuring data integrity, security, and accessibility. This is a unique opportunity to be at the forefront of football analytics, applying your expertise to drive our club’s success on and off the pitch.