Performance Data Scientist
Role details
Job location
Tech stack
Job description
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 now 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
Requirements
- 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
Benefits & conditions
- 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.