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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: Combine your passion for football with data science to shape the sport's future.
- Qualifications: Strong Python skills and experience in sports analytics required.
- Other info: Hybrid working available with opportunities to make a real impact.
The predicted salary is between 50000 - 70000 £ per year.
We’re 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’ll 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’re 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.
- Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling.
- Industry experience in a data science role focussing 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
- Free onsite gym
Impact: Work directly with clubs and partners to shape data-driven decision-making in football.
This is a unique chance to join an ambitious consultancy and make your mark in sports data science. If you’d like to know more, get in touch today to discuss this new client opportunity!
Data Scientist (Sports Analytics) in City of London employer: Singular Recruitment
Contact Detail:
Singular Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Sports Analytics) in City of 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 help you land that dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects related to sports analytics. Whether it’s a cool model you built or an analysis of player performance, having tangible examples will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex data insights to non-technical folks, so practice breaking down your findings in simple terms. Role-play with a friend or record yourself to see how you come across!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities in sports data science, and applying directly can give you a better chance of getting noticed. Plus, we love seeing passionate candidates who are eager to make an impact in football analytics!
We think you need these skills to ace Data Scientist (Sports Analytics) in City of London
Some tips for your application 🫡
Show Your Passion for Football: Make sure to highlight your love for football in your application. We want to see how your passion aligns with our mission to transform data into actionable insights for the sport.
Demonstrate Your Data Skills: When detailing your experience, focus on your proficiency in Python and any relevant data science techniques you've used. We’re looking for candidates who can apply advanced methods to analyse football data effectively.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences that match the job description. We appreciate when candidates take the time to connect their background to what we 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 don’t miss out on any important updates about the role!
How to prepare for a job interview at Singular Recruitment
✨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 technical expertise.
✨Showcase Your Data 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 sports analytics, as this will highlight your practical experience.
✨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 able to convey your findings clearly is crucial.
✨Passion for the Game
Let your love for football shine through during the interview. Share personal experiences or insights about how data can influence the sport, as this will resonate with the interviewers and show that you’re a great cultural fit.