Football Radar have been successfully developing statistical models and analytical frameworks for football for over 10 years. We provide advice to football clubs, and we are also a leading provider of betting advice, where we have helped our clients achieve outstanding returns for over 10 years. We see ourselves as an interesting mix of start-up and established business, with the agility of the former and the security of the latter.

About The Role

We are looking for a data scientist to work on the betting and prediction side of our business, helping us to improve our ability to predict match outcomes. This role involves researching ways in which the modelling approaches we use to predict football matches can be improved, and then turning those insights into practical modelling solutions that we can deploy to production.

You will have lots of freedom to try and identify the highest value areas to spend your time, working in a collaborative environment together with other data scientists, software engineers, as well as both betting and football experts. 

This role is based at our London office, at 1 Craven Hill, London, W2 3EN. You will have flexibility to work from home one day a week, and we aren't too fussy about the exact hours you work each day. But please note we are not considering remote candidates at the moment. 

Requirements

• 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 flair for communicating statistical analyses to both technical and non-technical audiences
• Experience with statistical analysis and predictive modelling - you don’t need to be an expert in any one area, but you need to know what techniques and tools are available, and understand the trade-offs of using different approaches
• Experience with SQL and relational databases – you can quickly understand a new dataset, perform exploratory analysis, identify data quality issues, and take pragmatic decisions about how to handle imperfect data
• Interest in football and betting/prediction problems
• Plenty of experience of writing reusable and efficient code (ideally in Python)
• Ideally some experience building and maintaining production analytics and modelling pipelines, using AWS or another cloud environment

What we offer

• Half yearly bonus opportunities
• 33 days holiday (Including bank holidays)
• Competitive contribution matched pensions
• Subsidised private medical care and on site health checks and vaccinations
• Subsidised office meals
• Opportunities for learning and development budgets to invest in your personal growth
• Company and team led engagement activities throughout the year
• Subsidised gym membership