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 employer: RGIT Australia
At PMY Group, we are committed to fostering a vibrant work culture that champions innovation and collaboration. As a Performance Data Scientist in our Central London office, you will enjoy flexible working arrangements, competitive compensation, and the opportunity to make a tangible impact on sports performance. With a focus on continuous learning and personal growth, we empower our employees to thrive in a dynamic environment while contributing to exciting projects that enhance the experience for millions.
StudySmarter Expert Advice🤫
We think this is how you could land Performance Data Scientist
✨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 talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving machine learning and sports analytics. This will help you stand out when you’re chatting with potential employers.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to data science and sports performance. Be ready to explain your thought process and how you’ve tackled real-world problems in the past. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at getting noticed. We love seeing candidates who take the initiative and show genuine interest in joining our team at PMY Group!
We think you need these skills to ace Performance Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Performance Data Scientist role. Highlight your experience with data science, sports analytics, and any relevant projects that showcase your skills in Python and SQL.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about sports performance and how your background aligns with our mission. Share specific examples of how you've turned data into actionable insights in previous roles.
Showcase Your Communication Skills:Since you'll be working with non-technical stakeholders, it's crucial to demonstrate your ability to explain complex data concepts clearly. Include examples in your application where you've successfully communicated insights to diverse audiences.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 your experience with machine learning, time-series analysis, and how you've tackled messy datasets in the past. They’ll want to see that you can turn complex data into actionable insights.
✨Showcase Your Collaboration Skills
Since this role involves working closely with coaches and analysts, think of examples where you've successfully collaborated with non-technical stakeholders. Prepare to explain how you translated performance questions into analytical solutions and how you communicated your findings clearly.
✨Prepare for Real-World Scenarios
Expect questions that focus on real-world applications of your data science skills. Think about specific projects where your analysis directly influenced decisions or improved performance. Be ready to discuss the impact of your work and how you ensured your models were reliable and usable.
✨Demonstrate Your Passion for Sports Analytics
Show them that you’re not just a data whiz but also genuinely interested in sports performance. Share any relevant experiences or projects that highlight your passion for the field. This will help you stand out as someone who is not only skilled but also enthusiastic about making a difference in sports.
