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- Tasks: Transform complex football data into actionable insights for the Academy.
- Company: Join Fulham FC, a leading club in sports performance analysis.
- Benefits: Competitive salary, professional development, and a chance to work in sports.
- Why this job: Make a real impact on player development and team performance using data.
- Qualifications: BSc in a quantitative field; proficiency in Power BI and coding skills.
- Other info: Dynamic role with opportunities for continuous learning and growth in sports analytics.
The predicted salary is between 30000 - 40000 £ 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.
Job 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.
Job responsibilities
- Develop interactive dashboards and reports using Power BI to enable real-time insights for decision making.
- Develop and validate statistical and machine learning models that quantify player behaviours.
- Ensure all modelling approaches are underpinned by robust, interpretable statistical principles.
- Design and implement metrics that quantify player and team effectiveness.
- Ensure efficient data storage, retrieval and processing of data.
- Work closely with the Insights, Coaching, Recruitment and Performance Staff to utilise complex data to inform decision making across the Academy.
- Build internal tools and visual applications to streamline internal processes and enhance workflow efficiency.
- Communicate clearly to non-technical stakeholders, translating complex data outputs into football relevant insight.
- Undertake continual professional development to ensure personal skills, knowledge and competence to fulfil the role.
- Ensure all work is completed in a priority basis, meeting a high level of professionalism, quality, and craftsmanship.
- Stay up to date with the latest trends and best practice in data analytics to recommend new methodologies to enhance the Insights Department delivery.
- Continually look to develop and improve the Insights Department data provisions.
- Support the highest levels of safeguarding.
Data Scientist (Academy) | Fulham FC employer: TheASPA
Contact Detail:
TheASPA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Academy) | Fulham FC
✨Tip Number 1
Network like a pro! Reach out to people in the football analytics space, especially those connected to Fulham FC. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨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 not only demonstrates your expertise but also gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as you'll need to translate your findings for non-technical stakeholders. Mock interviews with friends can help you nail this down!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your skills align with the role, and make sure to follow up after applying to show your enthusiasm!
We think you need these skills to ace Data Scientist (Academy) | Fulham FC
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at Fulham FC. Highlight your experience with Power BI, SQL, and any relevant football analytics projects. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've turned complex data into actionable insights. If you've built dashboards or statistical models, let us know! This will help us see your practical experience in action.
Keep It Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon unless it's necessary. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: Don't forget to apply through our website! It's the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at TheASPA
✨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 how you’ve used these in past projects will show your expertise and passion for the role.
✨Show Off Your Technical Skills
Be prepared to demonstrate your proficiency in Power BI, SQL Server, and coding in R or Python. You might be asked to solve a problem on the spot, so practice explaining your thought process while you work through it. This will highlight your problem-solving skills and technical know-how.
✨Communicate Like a Pro
Since you’ll need to translate complex data into actionable insights for non-technical stakeholders, practice explaining your past projects in simple terms. Use examples that showcase your ability to communicate effectively and ensure everyone understands the value of your work.
✨Stay Curious and Keep Learning
Demonstrate your curiosity about football and your commitment to continuous learning. Share any recent courses or trends in data analytics that you've explored. This shows that you’re not just qualified but also genuinely interested in growing within the field.