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- Tasks: Design and deploy data models to enhance football strategies and performance.
- Company: Join a world-renowned football club at the forefront of AI and data technology.
- Benefits: Flexible hybrid working model, access to high-value datasets, and growth opportunities.
- Why this job: Make a real impact in elite football using advanced data science techniques.
- Qualifications: 3+ years as a Data Scientist with strong Python and statistical modelling skills.
- Other info: Collaborative environment with a focus on creativity and innovation.
The predicted salary is between 36000 - 60000 ÂŁ per year.
This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high‑performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy data models that power decision‑making across every area of the club — from strategy, tactics, recruitment, and performance, to pre‑and post‑match analysis. You’ll also play a key role in supporting the club’s commercial operations, including e‑commerce and fan engagement. If you’re passionate about using advanced data science to drive real‑world impact in sport, this is the role for you.
Key Responsibilities
- Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights.
- Collect, clean, and process football‑related data from diverse sources.
- Build clear, compelling visualizations and deliver insights to both technical and non‑technical stakeholders.
- Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions.
- Stay up to date with advancements in sports analytics, machine learning, and data science methodologies.
Your Background
- 3+ years of industry experience as a Data Scientist, plus a strong academic foundation.
- Python Data Science Stack: Advanced proficiency in Python, including Pandas, NumPy and scikit‑learn.
- Statistical & Machine Learning Modelling: Experience with a variety of ML techniques (regression, classification, clustering, time‑series forecasting).
- Experience with deep learning frameworks such as Keras or PyTorch.
- Model Deployment: Proven ability to productionise models, including building and deploying APIs.
- Strong visualization and communication skills, with the ability to translate complex technical findings into actionable insights for coaches, analysts, and execs.
Highly Desirable Skills
- Football Analytics Experience: Familiarity with football‑specific datasets (event, tracking, positional), and libraries like mplsoccer.
- Advanced MLOps & Modelling: Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation, tactical modelling, etc.
- Bayesian Modelling: Knowledge of probabilistic programming (e.g., PyMC) for uncertainty‑aware predictions.
- Stakeholder Collaboration: Demonstrated ability to work directly with stakeholders to scope, iterate, and deliver impactful solutions in fast‑moving environments.
What They Offer
- A chance to work on real‑world data that impacts elite football performance.
- Access to high‑value datasets, sports science teams, and cross‑disciplinary experts.
- A flexible hybrid working model (1 day per month in the London office).
- The opportunity to grow within a digital‑first team at a world‑renowned football club.
- The satisfaction of applying your engineering skills in an environment where your work directly influences results on the pitch.
Data Scientist (Football Club) - Singular Recruitment in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Football Club) - Singular Recruitment in London
✨Tip Number 1
Network like a pro! Reach out to people in the football analytics space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and visualisations. This is your chance to demonstrate how you can turn complex data into actionable insights, just like you'd do for the club.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of football analytics and the latest trends in data science. Be ready to discuss how your experience aligns with the club's goals and how you can contribute to their success.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team.
We think you need these skills to ace Data Scientist (Football Club) - Singular Recruitment in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, machine learning, and any football analytics you've done. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science in football and how you can contribute to our team. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Projects: If you've worked on relevant projects, make sure to include them! Whether it's a personal project or something from your previous job, we love seeing practical applications of your skills. Visualisations and insights are a big plus!
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 this exciting opportunity. We can't wait to see what you bring to the table!
How to prepare for a job interview at Jobster
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills, especially with libraries like Pandas and NumPy. Be ready to discuss your experience with statistical models and machine learning techniques, as they'll want to see how you can apply these in a football context.
✨Show Off Your Football Knowledge
Familiarise yourself with football analytics and specific datasets. Being able to talk about how you've used data to analyse player performance or match outcomes will definitely impress them. They’re looking for someone who can connect the dots between data science and the beautiful game!
✨Prepare for Collaboration Questions
Since this role involves working closely with coaches and analysts, think of examples where you've successfully collaborated with non-technical stakeholders. Be ready to explain how you translated complex data insights into actionable strategies that made a difference.
✨Visualisation is Key
Practice explaining your visualisations clearly and concisely. You might be asked to present your findings to both technical and non-technical audiences, so being able to communicate your insights effectively is crucial. Bring examples of your work to showcase your skills!
