At a Glance
- Tasks: Transform complex football data into actionable insights and develop predictive models.
- Company: Prestigious football organisation based in Liverpool with a focus on innovation.
- Benefits: Permanent role with 40 hours per week, competitive salary, and career development opportunities.
- Why this job: Join a dynamic team and influence coaching and recruitment decisions in football.
- Qualifications: Strong statistical modelling skills and proficiency in SQL and Python or R.
- Other info: Work at Finch Farm training ground and collaborate with passionate football professionals.
The predicted salary is between 36000 - 60000 £ per year.
A prestigious football organization in Liverpool is seeking a Data Scientist to transform complex football data into actionable insights. The ideal candidate will possess strong statistical modeling skills, proficiency in SQL and Python or R, and an analytical mindset.
Responsibilities include:
- Developing predictive models
- Collaborating with team members
- Communicating findings effectively to inform decision-making in coaching and recruitment
This permanent role is based at Finch Farm training ground and offers 40 hours of work per week. The closing date for applications is January 2, 2026.
Football Performance Data Scientist — Insights & Strategy in Liverpool employer: Everton Football Club
Contact Detail:
Everton Football Club Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Football Performance Data Scientist — Insights & Strategy in Liverpool
✨Tip Number 1
Network like a pro! Reach out to people in the football data science community, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in SQL, Python, or R. Use real football data to demonstrate your analytical prowess and how you can turn numbers into actionable insights.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical modelling knowledge and be ready to discuss your past experiences. Practice explaining complex concepts in simple terms, as communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our organisation.
We think you need these skills to ace Football Performance Data Scientist — Insights & Strategy in Liverpool
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your statistical modelling skills and proficiency in SQL and Python or R. We want to see how you can transform complex data into actionable insights, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific experiences that relate to developing predictive models and collaborating with teams. It’ll show us you’re genuinely interested in the position.
Communicate Clearly: Since communicating findings is key, ensure your application is clear and concise. Use straightforward language to explain your past projects and how they’ve informed decision-making in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and keep track of all the amazing candidates like you!
How to prepare for a job interview at Everton Football Club
✨Know Your Stats
Brush up on your statistical modelling skills before the interview. Be ready to discuss specific models you've developed and how they impacted decision-making in previous roles. This will show your analytical mindset and ability to transform data into actionable insights.
✨SQL and Python/R Proficiency
Make sure you can demonstrate your proficiency in SQL and either Python or R. Prepare to answer technical questions or even solve problems on the spot. Practising coding challenges related to data manipulation and analysis can give you a solid edge.
✨Collaborative Spirit
Since collaboration is key in this role, think of examples where you've worked effectively with team members. Be ready to share how you communicated complex findings to non-technical stakeholders, as this will highlight your ability to bridge the gap between data and decision-making.
✨Passion for Football
Show your enthusiasm for football and how it drives your work. Research the organisation's recent performance and be prepared to discuss how data can influence coaching and recruitment strategies. This will demonstrate your genuine interest and alignment with their goals.