Description This role will lead on turning complex football data into clear, actionable insights that support the Insights Department to make informed decisions across the Academy. Working across a broad range of data sources, this role will ensure Performance Analysts have access to reports and visualisations that enable effective team and individual analysis. In addition, this role will strengthen the Academy’s ability to monitor team and individual performance, as well as track player development through advanced statistical models. Requirements The Academy Data Scientist must have: A BSc in Statistics, Mathematics, Data Science, Computer Science or Quantitative Related Field. Strong proficiency in Power BI, Power Apps and Microsoft SQL Server. Knowledge of football analytics, performance metrics and statistical models. The ability to write code (R/Python) to create custom visuals. Experience operating on and building from large datasets. High attention to detail and be an innovate problem solver. Excellent communication and collaboration skills. Strong presentation skills with the ability to create evidence-based case studies. Curious nature to football problems and motivations for continuous learning. Ideally, the Academy Data Scientist will have: A MSc in Statistics, Mathematics, Data Science, Computer Science or Quantitative Related Field. Completed courses or modules in Statistics or Data Science. Experience using cloud-based analytics platforms (Snowflake or Databricks). Experience working in a football environment.