Graduate Data Scientist

Football Radar; City of Westminster; Hybrid; GBP 30,000 - 45,000; Full time

Job summary

A leading football analytics company is seeking a Graduate Data Scientist for its Prediction Team. This role involves enhancing predictive models, researching new methods, and developing production-ready solutions. Candidates should have a solid understanding of predictive modelling and machine learning, along with Python proficiency. The position requires collaboration with a team while encouraging individual idea development. The company offers a flexible working environment, prioritizing collaboration for at least 4 days a week in the office. Benefits include bonuses, generous holiday, and health perks.

Benefits

Half yearly bonus opportunities

33 days holiday

Matched pensions contribution

Private Medical Insurance

Health Cash Plan via Bupa

Subsidised gym membership

Daily subsidised office meals

Learning and development budgets

Company engagement activities

Qualifications

• Completing a STEM Bachelor's, Master's, or PhD by Summer 2026.
• Solid understanding of predictive modelling and machine learning concepts.
• Familiar with various predictive modelling techniques and tools.
• Comfortable collaborating and sharing ideas across teams.
• Proficient in Python for data analysis.

Responsibilities

• Enhance existing predictive models and research new methods.
• Turn insights into production-ready solutions.
• Work collaboratively with data scientists, developers, and analysts.
• Develop own ideas while contributing to team objectives.

Skills

Predictive modelling

Machine learning

Probability theory

Python for data analysis

Collaboration

Education

Bachelor's, Master's, or PhD in a STEM subject

Tools

Monte Carlo simulation

Bayesian modelling

Kalman filters

GLMs

Time series forecasting

Job description

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.

Benefits

• Half yearly bonus opportunities based on company performance
• 33 days holiday (Including bank holidays)
• Competitive contribution matched pensions
• Health and well‑being benefits includes:
  • 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

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

Preferred

• 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

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.