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.paolinelli@harringtonstarr.com for quicker response.