Football Modeller Position Join a collaborative prediction team as a Football Modeller to enhance predictive models, explore new methodologies, and develop solutions in sports analytics. Requirements: 3 years in predictive modelling, machine learning, and probability theory (preferably in sports/gaming). Familiar with Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. Strong programming skills in Python. Experience with dataset exploration and handling data quality issues. Preferred Qualifications: Understanding of expected value and utility principles. Practical problem-solving with a balance of detail and quick MVP delivery. Ability to work independently on projects and make informed decisions. Benefits: Generous annual leave (including bank holidays) Competitive pension contributions Health and well-being benefits Subsidised gym membership and meals Learning and development budgets Regular sports activities with colleagues Interested? Apply to this role or send your CV to luica.paolinelliharringtonstarr.com for quicker response.