At a Glance
- Tasks: Transform data into actionable insights that enhance athlete performance and reduce injury risks.
- Company: Join PMY Group, a leader in sports performance analytics.
- Benefits: Enjoy competitive pay, flexible hours, and opportunities for personal growth.
- Other info: Collaborative culture with a focus on diversity and innovation.
- Why this job: Make a real impact in the world of sports with cutting-edge data science.
- Qualifications: 4-8 years in data science, strong Python and SQL skills required.
The predicted salary is between 50000 - 60000 £ per year.
Central London, SouthEast WC1, United Kingdom
Full-time Permanent Mid-level Senior
ABOUT THE ROLE
At PMY Group, we power some of the world’s most exciting environments - from elite sport and major events to education and public sector innovation. We’re looking for a Performance Data Scientist to join our London-based EMEA team. This is a unique opportunity to combine cutting‑edge data science with real‑world sports performance impact. You’ll work side‑by‑side with coaches, analysts, sports scientists, and technical teams to turn complex data into clear, actionable decisions that improve athlete readiness, reduce injury risk, and optimise performance. If you enjoy solving real problems (not just building models in isolation), this role is for you.
WHAT YOU'LL DO
- Turn Data into Performance Impact
- Analyse training, wellness, tracking, tactical, and medical data
- Identify trends, risks, and performance drivers
- Deliver insights that directly influence coaching decisions
- Build Smart, Practical Models
- Develop machine learning and statistical models (forecasting, classification, optimisation)
- Work with real‑world, imperfect data
- Ensure models are explainable, reliable, and usable in practice
- Collaborate with Sporting Stakeholders
- Partner with coaches, analysts, and sports science teams
- Translate performance questions into analytical solutions
- Clearly explain insights, assumptions, and trade‑offs
- Create Insight Products
- Contribute to dashboards, scoring tools, and decision‑support applications
- Help define KPIs and athlete performance metrics
- Turn analysis into tools people use
- Drive Quality & Innovation
- Apply best practices in validation, testing, and reproducibility
- Improve data quality and analytical processes over time
- Help build scalable, trusted performance analytics capabilities
WHAT WE ARE LOOKING FOR
- 4–8 years’ experience in data science, sports analytics, or performance analytics
- Strong skills in Python and SQL
- Experience with machine learning, time‑series analysis, or forecasting
- Ability to work with messy, real‑world datasets
- Confidence working with non‑technical stakeholders
- Strong communication and storytelling skills
Nice to have:
- Experience in athlete monitoring, tracking data, or sports science
- Exposure to cloud‑based analytics environments
- Experience building dashboards or data products
- Consulting or client‑facing experience
WHY PMY?
- Growth: Scale your career with diverse projects and continuous learning.
- Flexibility: Embrace a work‑life balance with flexible hours and remote work opportunities.
- Impact: Your work directly transforms the venue experience for millions.
- Culture: Collaborate with a passionate team in a dynamic, innovative environment.
- Benefits: Competitive compensation, fun team events and opportunities for personal and professional growth.
We strive to build a team that reflects the diversity of the communities we work in. We welcome and encourage applications from traditionally underrepresented groups in the technology industry, including women, older people, people with a disability and ethnic minorities.
Performance Data Scientist in London employer: RGIT Australia
At PMY Group, we offer an exceptional work environment in the heart of Central London, where you can make a tangible impact on sports performance through innovative data science. Our culture fosters collaboration and continuous learning, providing you with the opportunity to grow your career while enjoying flexible working arrangements and competitive benefits. Join us to be part of a passionate team dedicated to transforming the world of elite sport and major events.
StudySmarter Expert Advice🤫
We think this is how you could land Performance Data Scientist in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, join online forums, or even hit up LinkedIn. The more you engage with others, the better your chances of landing that Performance Data Scientist role.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio showcasing your data science projects, especially those related to sports analytics. This will give potential employers a taste of your capabilities and how you can make an impact.
✨Tailor Your Approach
When reaching out to companies like PMY Group, make sure to tailor your message. Highlight your experience with Python, SQL, and machine learning, and explain how you can turn data into actionable insights for their team.
✨Apply Through Our Website
We encourage you to apply directly 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 our innovative team.
We think you need these skills to ace Performance Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Performance Data Scientist role. Highlight your experience with Python, SQL, and any relevant projects that showcase your skills in sports analytics. We want to see how you can turn data into performance impact!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for sports and data science, and explain how your background aligns with our mission at PMY Group. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled real-world problems using data. We love seeing candidates who can translate complex data into actionable insights, so don’t hold back on sharing your success stories!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at RGIT Australia
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've developed machine learning models or analysed messy datasets. They’ll want to see how you can turn complex data into actionable insights.
✨Understand the Sports Context
Familiarise yourself with the world of sports performance analytics. Research how data impacts athlete readiness and injury risk. Being able to speak the language of coaches and sports scientists will show that you’re not just a techie, but someone who understands their needs.
✨Prepare for Real-World Scenarios
Think about examples from your past work where you’ve solved real problems using data. Be ready to explain your thought process and how you collaborated with non-technical stakeholders. This role is all about making data relatable and useful, so showcase your storytelling skills.
✨Show Your Passion for Innovation
PMY Group values quality and innovation, so come prepared with ideas on how to improve data quality and analytical processes. Discuss any experience you have with building dashboards or decision-support applications, and be ready to share your vision for driving performance analytics forward.
