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- Tasks: Analyse football data to uncover insights and drive smarter decisions.
- Company: Rapidly growing sports data consultancy focused on football analytics.
- Benefits: Large bonus potential, pension, private medical, and free onsite gym.
- Why this job: Join a passionate team and shape the future of football with data.
- Qualifications: Strong Python skills and experience in sports analytics required.
- Other info: Hybrid working available with opportunities for impactful career growth.
The predicted salary is between 36000 - 60000 £ per year.
We are excited to be partnering with a new client – a rapidly growing sports data consultancy that is extending its Data Science team. This is a fantastic opportunity to join a business at the cutting edge of football analytics, where raw data is transformed into actionable insights that drive smarter, evidence-based decisions for clubs, organisations, and partners. With a clear focus on football, you will be delivering innovative data science solutions that support performance analysis, recruitment, and strategic planning. The team combines technical excellence with a genuine passion for the game, ensuring insights are both rigorous and impactful. If you are someone who loves football and wants to push the boundaries of how data can shape the sport's future, this is the role for you.
Key Responsibilities
- Apply advanced data science techniques to analyse football data and uncover insights on performance and tactics.
- Build models and frameworks to profile teams and players – identifying styles of play, strengths, and weaknesses.
- Develop new metrics to evaluate players (e.g. Efficiency in ball retention, progressive passing, duel outcomes under pressure).
- Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders.
Skills & Attributes
- Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling.
- Industry experience in a data science role focusing on sports analytics.
- Knowledge of advanced football metrics (possession value models highly desirable).
- A deep passion for football combined with analytical rigour and strong communication skills for club-facing work.
Location: London with hybrid working available
Type: Permanent
Benefits: Large bonus potential, pension, private medical and free onsite gym.
Impact: Work directly with clubs and partners to shape data-driven decision-making in football.
Interested? This is a unique chance to join an ambitious consultancy and make your mark in sports data science. If you would like to know more, get in touch today to discuss this new client opportunity!
Data Scientist (Sports Analytics) - Singular Recruitment in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Sports Analytics) - Singular Recruitment in London
✨Tip Number 1
Network like a pro! Reach out to people in the sports analytics field, especially those who work with football data. 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 science projects related to sports analytics. Whether it’s visualisations of player performance or models predicting match outcomes, having tangible examples will make you stand out when chatting with potential employers.
✨Tip Number 3
Tailor your approach! When you find a role that excites you, like the Data Scientist position, make sure to highlight your passion for football and relevant experience in your conversations. Employers love candidates who can connect their skills directly to the job at hand.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team and making an impact in the world of sports data.
We think you need these skills to ace Data Scientist (Sports Analytics) - Singular Recruitment in London
Some tips for your application 🫡
Show Your Passion for Football: Make sure to highlight your love for the game in your application. We want to see how your passion for football drives your analytical skills and how you can contribute to shaping the sport's future.
Tailor Your Experience: When detailing your experience, focus on projects or roles that relate directly to sports analytics. We’re looking for specific examples of how you've applied data science techniques in a sports context, especially football.
Communicate Clearly: Remember, you’ll be sharing insights with both technical and non-technical folks. Use clear, straightforward language in your application to demonstrate your ability to communicate complex ideas effectively.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Jobster
✨Know Your Football Metrics
Make sure you brush up on advanced football metrics, especially possession value models. Being able to discuss these in detail will show your passion for the game and your analytical skills.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and data manipulation tools like Pandas or Polars. Bring examples of past projects where you've applied these skills to analyse sports data.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders, so being clear and concise is key.
✨Be Ready for Scenario Questions
Expect scenario-based questions that test your problem-solving abilities in real-world football situations. Think about how you would apply data science techniques to improve team performance or recruitment strategies.
