At a Glance
- Tasks: Design and deploy cutting-edge statistical and machine learning models for football analytics.
- Company: The Football Association, a leader in sports innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work at St George's Park with a focus on impactful data-driven decisions.
- Why this job: Join a passionate team and help England teams gain a competitive edge through data.
- Qualifications: Experience in statistics, machine learning, and data visualisation.
The predicted salary is between 60750 - 74250 £ per year.
The Football Association seeks a Research & Development Data Scientist to design and deploy world‑leading statistical and machine learning models that give England teams a competitive edge. You will work in the Insights team at St George's Park, applying event, tracking and GPS data to deliver actionable, data‑driven decisions.
You will translate model outputs into clear visualisations and web app features, collaborate with stakeholders, and ensure robust validation and reproducible pipelines.
Football Analytics Data Scientist – ML & Statistics (Hybrid) in Burton upon Trent employer: Kick It Out
Brighton & Hove Albion FC is an exceptional employer, offering a vibrant work culture that thrives on collaboration and innovation. As a Marketing Lead, you'll have the opportunity to drive impactful marketing strategies in a dynamic environment, with access to professional development and growth opportunities within the sports and hospitality sectors. Located in the heart of Brighton, you’ll enjoy a unique blend of work-life balance and the excitement of being part of a renowned football club.
StudySmarter Expert Advice🤫
We think this is how you could land Football Analytics Data Scientist – ML & Statistics (Hybrid) in Burton upon Trent
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We think you need these skills to ace Football Analytics Data Scientist – ML & Statistics (Hybrid) in Burton upon Trent
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
