Cricket Data Scientist

For over a decade, Football Radar has excelled in developing statistical models and analytical frameworks for football. Our expertise extends to providing advisory services to football clubs and offering leading-edge betting advice that has consistently delivered outstanding returns for our clients.

We try to combine the freedom and flexibility of working in a start-up with the stability of an established business, giving our people the autonomy to act and the support to succeed.

You will be responsible for designing and developing statistical models used to predict cricket matches. We are looking for smart, mathematical and ambitious people who enjoy solving challenging problems and can make pragmatic decisions. You do need to have good cricket knowledge for this role, as the role will require you to build models that capture many of the subtleties and intricacies of the sport.

We are happy to consider both junior and senior candidates for this role, and will adapt the responsibilities and salary accordingly. More experienced candidates will have the opportunity to take on more responsibility, lead projects, and help set the direction of our research.

This role is based at our London office, at 106 Kensington High Street, London, W8 4SG. We mostly work in person: you'll have the option to work from home one day a week, and we're flexible about the exact hours you work each day. But please note we are not considering remote candidates at the moment.

This role may be for you if you have:

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• Strong problem solving skills, with an ability to proactively identify challenges and propose solutions
  
• An ability to make pragmatic and sensible choices about what data analysis and modelling approaches to use - you can judge when it's right to obsess about the details, and when it's right to ship an MVP as fast as possible
  
• A strong understanding of cricket: not only the game's nuances, but also the key players and leagues around the world
  
• Familiarity with a broad range of statistical techniques, such as regression modelling, Monte Carlo simulation, GLMs, mixed effects models, gradient boosting, ensemble modelling, and time series forecasting
  
• Interest in betting/prediction problems
  
• A flair for communicating statistical analyses to both technical and non-technical audiences
  
• Experience with SQL and relational databases
  
• Programming experience with Python
  

Stronger and more senior candidates will also have:

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• Prior experience of sports modelling, ideally within the betting industry
  
• A good understanding of the mechanics of betting markets
  
• Project management skills, including an ability to make sensible value judgements about where the team should spend time
  
• Experience producing readable, testable and maintainable code on a collaborative codebase
  
• A good knowledge of AWS (or a similar cloud platform)
  

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• Half yearly bonus opportunities based on company performance
  
• 33 days holiday (including bank holidays)
  
• Competitive contribution matched pensions
  
• Health and well-being benefits:
  
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  • 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 football game amongst colleagues