Graduate Data Scientist

Football Radar

London, England, United Kingdom

London, England, United Kingdom

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Über

Graduate 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 106 Kensington High Street, London, W8 4SG. While we are open to flexible working hours to help you avoid rush hour, we believe in the value of in‑person collaboration and learning opportunities, so we require at least 4 days a week in the office.
Requirements
Be completing a Bachelor’s, Master’s, or PhD in a STEM subject by Summer 2026
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 isn’t expected, you should have a broad awareness of available techniques and tools, and understand the trade‑offs of different approaches
Be comfortable working collaboratively across teams, sharing ideas early, and taking onboard feedback from both technical and football‑focused colleagues
Be proficient in Python for data analysis and modelling
An excellent candidate will also:
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
Please do not apply if you are graduating beyond 2026, as we are looking for a candidate to start immediately in Summer 2026.
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London, England, United Kingdom

Sprachkenntnisse

English

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