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- Tasks: Enhance predictive models and turn insights into production-ready solutions in football analytics.
- Company: Join Football Radar, a leader in football analytics with a start-up vibe and established stability.
- Benefits: Enjoy 33 days holiday, health benefits, and learning budgets for personal growth.
- Other info: Flexible working hours and fun team activities like five-a-side football games.
- Why this job: Make an impact in sports analytics while collaborating with a passionate team.
- Qualifications: Pursuing a STEM degree with knowledge of predictive modelling and Python skills.
The predicted salary is between 28800 - 48000 ÂŁ per year.
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.
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.
Graduate Data Scientist employer: Football Radar
Contact Detail:
Football Radar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Football Radar on LinkedIn or attend industry events. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive modelling projects. Whether it's a personal project or something from uni, having tangible examples will make you stand out.
✨Tip Number 3
Prepare for the interview by brushing up on your football knowledge and analytics techniques. Be ready to discuss how you can apply your skills to real-world football challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Football Radar team.
We think you need these skills to ace Graduate Data Scientist
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data science shine through! Share any personal projects or experiences that highlight your skills in predictive modelling and machine learning. We love seeing candidates who are genuinely excited about the field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Graduate Data Scientist role. Highlight relevant coursework, internships, or projects that align with our requirements. This shows us that you’ve done your homework and understand what we’re looking for.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your experiences and skills. Remember, we want to see how you can communicate complex ideas effectively, so make it easy for us to read!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company and culture.
How to prepare for a job interview at Football Radar
✨Know Your Models
Make sure you brush up on your knowledge of predictive modelling and machine learning techniques. Be ready to discuss specific methods like Monte Carlo simulations or Bayesian modelling, and how you've applied them in your studies or projects. This will show that you’re not just familiar with the theory but can also think critically about their application.
✨Show Your Passion for Football
Since this role is all about football analytics, it’s crucial to demonstrate your interest in the sport. Share any personal projects or analyses you've done related to football, and be prepared to discuss how your passion for the game can enhance your work as a data scientist at Football Radar.
✨Collaborative Mindset
Highlight your ability to work collaboratively across teams. Prepare examples of past experiences where you’ve shared ideas and received feedback. This will show that you’re open to collaboration and can effectively communicate complex concepts to both technical and non-technical audiences.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to football analytics and the specific challenges they face. This not only shows your genuine interest in the role but also gives you a chance to demonstrate your understanding of the industry and how you can contribute to their success.