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| Data science | Full-time
, ,About the Company
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
At Football Radar we have two small data science teams. A prediction team, focused on the betting and prediction side of our business; and a club consultancy team, developing models and products to help decision making within football clubs. Your role as a data engineer will be to help support these teams, by taking ownership of the importing, organisation and transformation of data from different sources to make sure it’s always up-to-date and easily accessible. In practice you will be working on things like:
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Automating pipelines for importing and updating data from third party sources
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Transforming existing data into more accessible formats
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Building smaller and more manageable datasets from larger, more cumbersome datasets
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Helping improve the speed and reliability of our ETL process and the quality of data available to our data scientists
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Collaborating with our software engineering and data science teams to make sure we have a consistent development and operations approach
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Managing and monitoring cloud databases and other cloud infrastructure
What We’re Looking For
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An ability to make pragmatic and sensible choices about what 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
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Strong problem solving skills, with an ability to proactively identify challenges and propose solutions
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Experience with SQL and relational databases, including query optimisation
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A decent level of Python
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Familiarity with AWS or another similar cloud platform (we use AWS for almost everything, and prior experience with AWS is a bonus, but not essential if you have experience with a similar platform and similar tools).
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Experience building data pipelines, and awareness of best practices
What we offer
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Half yearly bonus opportunities based on company performance
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33 days holiday (Including bank holidays)
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Competitive contribution matched pensions
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Health and well-being benefits:
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Private Medical Insurance (including excess coverage)
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Health Cash Plan via Bupa
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Subsidised gym membership
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Daily subsidised office meals
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Learning and development budgets to invest in your personal growth
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Company and team led engagement activities throughout the year
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Fortnightly five-a-side game amongst colleagues