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- Tasks: Transform complex football data into actionable insights for the Academy.
- Company: Join a leading football academy focused on data-driven performance.
- Benefits: Competitive salary, professional development, and a chance to impact player growth.
- Other info: Collaborative environment with opportunities for continuous learning and innovation.
- Why this job: Be at the forefront of football analytics and drive team success.
- Qualifications: BSc in a quantitative field and strong skills in data analysis tools.
The predicted salary is between 35000 - 45000 £ per year.
This role will lead on turning complex football data into clear, actionable insights that support the Insights Department to make informed decisions across the Academy. Working across a broad range of data sources, this role will ensure Performance Analysts have access to reports and visualisations that enable effective team and individual analysis. In addition, this role will strengthen the Academy’s ability to monitor team and individual performance, as well as track player development through advanced statistical models.
Requirements
- A BSc in Statistics, Mathematics, Data Science, Computer Science or Quantitative Related Field.
- Strong proficiency in Power BI, Power Apps and Microsoft SQL Server.
- Knowledge of football analytics, performance metrics and statistical models.
- The ability to write code (R/Python) to create custom visuals.
- Experience operating on and building from large datasets.
- High attention to detail and be an innovative problem solver.
- Excellent communication and collaboration skills.
- Strong presentation skills with the ability to create evidence-based case studies.
- Curious nature to football problems and motivations for continuous learning.
Ideally, the Academy Data Scientist will have:
- A MSc in Statistics, Mathematics, Data Science, Computer Science or Quantitative Related Field.
- Completed courses or modules in Statistics or Data Science.
- Experience using cloud-based analytics platforms (Snowflake or Databricks).
- Experience working in a football environment.
Academy Data Scientist employer: Fulham FC
Contact Detail:
Fulham FC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Academy Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the football analytics space, attend industry events, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and statistical models. Use platforms like GitHub to share your code and projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of football analytics and performance metrics. We recommend practising common interview questions and even doing mock interviews with friends or mentors to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to reach out directly.
We think you need these skills to ace Academy Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data science and football analytics. We want to see how your skills in Power BI, SQL, and coding can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Academy Data Scientist role. Share your passion for football and how your analytical skills can contribute to our Insights Department. Keep it engaging and personal!
Showcase Your Technical Skills: We’re looking for someone who can handle large datasets and create custom visuals. Include specific examples of your work with R or Python, and any experience you have with cloud-based platforms like Snowflake or Databricks. Let us know what you can do!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Fulham FC
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of data you'll be working with. Brush up on football analytics, performance metrics, and statistical models. Being able to discuss specific examples of how you've used data to drive insights will impress your interviewers.
✨Show Off Your Technical Skills
Be prepared to demonstrate your proficiency in Power BI, Power Apps, and SQL Server. You might even be asked to solve a problem on the spot, so practice coding in R or Python beforehand. Having a few projects ready to showcase can really set you apart.
✨Communicate Clearly and Confidently
Since this role involves collaboration and presentation, practice explaining complex data concepts in simple terms. Use examples from your past experiences to illustrate your points. Remember, it’s not just about what you know, but how you convey that knowledge.
✨Stay Curious and Engaged
Demonstrate your passion for football and data science by discussing recent trends or challenges in the field. Show that you’re eager to learn and adapt. This curiosity will resonate well with the interviewers and highlight your commitment to continuous improvement.