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- Tasks: Support data-driven processes and ensure accuracy of performance data in sports analytics.
- Company: Join AFC Bournemouth, a dynamic football club with a focus on innovation.
- Benefits: Enjoy subsidised lunches, free parking, and access to a health cash plan.
- Other info: Exciting opportunity to grow in a vibrant sports environment.
- Why this job: Make an impact in sports analytics while working with cutting-edge data tools.
- Qualifications: Degree in a related field and experience with Python, R, and Tableau.
The predicted salary is between 28000 - 35000 £ per year.
AFC Bournemouth is looking for a Junior Performance Data Scientist at their Performance Centre in Wimborne. This role supports data-driven processes and ensures the accuracy of performance data.
Candidates should have a degree in a related field and experience with Python, R, and data visualization tools like Tableau.
The position offers benefits including subsidized lunches, free onsite parking, and access to a health cash plan.
The application deadline is May 20, 2026.
Emerging Performance Data Scientist, Sports Analytics in Bournemouth employer: AFC Bournemouth
Contact Detail:
AFC Bournemouth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Emerging Performance Data Scientist, Sports Analytics in Bournemouth
✨Tip Number 1
Network like a pro! Reach out to people in the sports analytics field, especially those connected to AFC Bournemouth. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects using tools like Tableau. This will not only demonstrate your expertise but also make you stand out from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and R skills. Be ready to discuss how you've used these languages in past projects, as practical examples can really impress the hiring team.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Emerging Performance Data Scientist, Sports Analytics in Bournemouth
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, R, and any data visualisation tools like Tableau. We want to see how you can bring your technical skills to the table!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your background aligns with the role of a Junior Performance Data Scientist at AFC Bournemouth.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication that gets right to the heart of your qualifications and enthusiasm for the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people!
How to prepare for a job interview at AFC Bournemouth
✨Know Your Data Tools
Make sure you brush up on your skills with Python, R, and Tableau. Be ready to discuss specific projects where you've used these tools, as this will show your practical experience and understanding of data visualisation.
✨Understand the Role
Familiarise yourself with the responsibilities of a Junior Performance Data Scientist. Research AFC Bournemouth's approach to sports analytics and think about how your skills can contribute to their data-driven processes.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining your thought process when solving data-related problems, and be prepared to demonstrate your analytical skills through examples or even a coding challenge.
✨Show Your Passion for Sports Analytics
Let your enthusiasm for sports and data shine through. Share any relevant experiences or projects that highlight your interest in sports analytics, as this will help you connect with the interviewers and show that you're a great fit for the team.