Graduate Football Data Scientist

At Football Radar, our mission is to be the world-leading provider of football analytics. For over a decade, we have combined predictive modelling techniques with expert analysis and our proprietary datasets to deliver insights that drive success for our betting clients and football clubs. By combining the agility of a start-up with the stability of an established business, we’ve created an environment where innovation and long-term success go hand in hand.

About The Role

As a Graduate Data Scientist on our Prediction Team, you will use our extensive dataset to enhance existing predictive models, research new methods, and turn your insights into production-ready solutions.

Your research will involve a mix of well-executed analyses and innovative modelling to solve unique challenges in football analytics, where your work will directly enhance our predictions and decision-making processes. To achieve this, you will have the freedom to explore and develop your own ideas while working collaboratively with a team of data scientists, developers, and analysts, to combine technical expertise with football knowledge.

You will be based at our London office, at 1 Craven Hill, London, W2 3EN, with the option to work from home one day a week. While we are open to adaptable working hours to help you avoid rush hour, we value in-person collaboration and learning opportunities, so we are not considering fully remote candidates at this time.

Requirements

We are looking for smart, ambitious people who are naturally curious, eager to learn, and enjoy solving challenging problems in a changeable environment. More specifically, you should:

• Be completing a Bachelor’s, Master’s, or PhD in a STEM subject by Summer 2025
• Have a solid understanding of predictive modelling, machine learning, and probability theory, gained through university work, internships, or personal projects
• Be familiar with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. While expertise in every area isnt expected, you should have a broad awareness of available techniques and tools, and understand the trade-offs of different approaches
• Be proficient in Python for data analysis and modelling

An Excellent Candidate Will Also

• Take a structured approach to problem-solving, balancing attention to detail with delivering practical solutions quickly
• Be able to communicate complex models and analyses clearly to both technical and non-technical audiences
• Understand expected value and decision-making under uncertainty, both from a betting and prioritisation perspective
• Have an interest in football and sports analytics

What We Offer

• Half yearly bonus opportunities based on company performance
• 33 days holiday (Including bank holidays)
• Competitive contribution matched pensions
• Health and well-being benefits:
  
  • Private Medical Insurance (including excess coverage)
  • Health Cash Plan via Bupa
  • Subsidised gym membership
• Daily subsidised office meals
• Learning and development budgets to invest in your personal growth
• Company and team led engagement activities throughout the year
• Fortnightly five-a-side game amongst colleagues

Start date to be between July and August 2025J-18808-Ljbffr