City of Westminster, England, United Kingdom · Hybrid
<p dir="ltr">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…
Skills: Predictive Modelling, Machine Learning, Probability Theory, Bayesian Modelling, Mixed Effects Models
City of Westminster, England, United Kingdom • Hybrid
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Build and improve models for a player evaluation framework using high-frequency tracking and event data. Collaborate with data scientists and analysts to translate technical insights into recruitment decisions for football clubs.
Requires a STEM degree and proficiency in Python, SQL, and predictive modelling techniques. Candidates must have a strong interest in football analytics and the ability to communicate complex models to non-technical audiences.
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 Data Scientist on our Club Services team, you'll work with high-frequency tracking and event data to build and improve the models behind our player evaluation framework. The problems are often difficult with no clear answer, so you'll need to make defensible modelling decisions, quantify your uncertainty, and then make your work robust enough to run in production and be trusted in real recruitment decisions. 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 also be a passionate football fan, with an understanding of the current football analytics landscape. You must be a strong communicator, able to translate technical analyses and insights to both technical and non-technical audiences. You will be required to demonstrate strong problem solving skills, with an ability to identify challenges and propose solutions.
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
We are looking for smart, ambitious people who are naturally curious, eager to learn, and enjoy solving challenging problems in a dynamic environment. We are open to candidates from early-career to experienced Data Scientists. The following are the core skills we would expect all candidates to meet:
A Bachelor’s, Master’s, or PhD in a STEM subject
Solid understanding of predictive modelling, machine learning, and probability theory
Familiarity with techniques such as Bayesian modelling, mixed effects models, GLMs, and Neural Networks. 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
Ability to communicate complex models and analyses clearly to both technical and non-technical audiences
Comfort working collaboratively across teams, sharing ideas early, and taking onboard feedback from both technical and football-focused colleagues
Proficiency in Python for data analysis and modelling
Experience working with SQL and relational databases
Interest in football and sports analytics
For senior candidates
More experienced candidates will have the opportunity to take on more responsibility, leading projects, and helping set the direction of our research. We are looking for candidates who can think strategically and make pragmatic decisions about where we should focus our efforts, and what technical approaches we should use to get our modelling ideas onto production. So in addition to the requirements above, this means you also bring:
3+ years of experience applying predictive modelling and machine learning in industry, with exposure to football through professional work or substantial personal projects
Experience working with high volume tracking-data datasets, with a comprehensive understanding of the challenges and possible approaches associated with them
A practical approach to problem-solving, balancing attention to detail with the ability to deliver MVPs quickly
Ability to deliver projects independently, making informed and justifiable decisions, while also contributing effectively as part of a team
Experience taking models from research into production, and deploying them to the cloud
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
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
Our mission is to become the number one experts in football.
Football Radar is a leading provider of football betting advice. We specialise in predicting the outcome of matches and competitions, and have helped our clients achieve outstanding returns in the betting markets for almost 15 years. The company was founded with one clear vision in mind: To become the no. 1 experts on football. With a unique approach that combines subjective input from highly skilled analysts with innovative modelling techniques, we believe that we can continue to take our understanding of the game to new levels. Our insights are stress-tested daily for clients in the betting industry. We run a sophisticated testing infrastructure to continuously monitor and validate the quality and accuracy of our data. We combine automated testing with a commitment to analyst training and alignment to ensure our intelligence can continue to be delivered with confidence. Our approach uses a qualitative methodology that sets us apart from our competitors. We continue to advance our understanding by redefining how football is understood. By managing the pipeline from data collection through to modelling and odds compiling, we are truly innovating the industry.
Offices: 1 Craven Hill, London, England W2 3EN, GB
Our mission is to become the number one experts in football.
Football Radar is a leading provider of football betting advice. We specialise in predicting the outcome of matches and competitions, and have helped our clients achieve outstanding returns in the betting markets for almost 15 years. The company was founded with one clear vision in mind: To become the no. 1 experts on football. With a unique approach that combines subjective input from highly skilled analysts with innovative modelling techniques, we believe that we can continue to take our understanding of the game to new levels. Our insights are stress-tested daily for clients in the betting industry. We run a sophisticated testing infrastructure to continuously monitor and validate the quality and accuracy of our data. We combine automated testing with a commitment to analyst training and alignment to ensure our intelligence can continue to be delivered with confidence. Our approach uses a qualitative methodology that sets us apart from our competitors. We continue to advance our understanding by redefining how football is understood. By managing the pipeline from data collection through to modelling and odds compiling, we are truly innovating the industry.
Offices: 1 Craven Hill, London, England W2 3EN, GB
