At a Glance
- Tasks: Transform complex data into actionable insights that enhance sports performance.
- Company: Join PMY, a leading tech provider for live environments across the globe.
- Benefits: Enjoy competitive pay, flexible hours, and opportunities for personal growth.
- Other info: Collaborate with passionate teams in a dynamic, innovative culture.
- Why this job: Make a real impact in sports by optimising athlete performance with data science.
- Qualifications: 4-8 years in data science, strong Python and SQL skills required.
The predicted salary is between 50000 - 70000 € per year.
PMY is a full-service provider of technology, data, and creative solutions for the live environment. With a growing global footprint across APAC, the USA, and EMEA, we are committed to delivering tailored, impactful solutions across sectors such as Sports & Entertainment, Stadiums & Arenas, Education, Public Sector & Infrastructure, and Retail. We combine a global perspective with decades of experience, and deep local insight in key markets.
At PMY, our goal is to deliver cutting‑edge strategy, design, and operational services across the full technology ecosystem - powered by proprietary and bespoke intelligence solutions and activated by a passionate and experienced team. We aim to be the world’s leading technology partner for the live environment, helping clients access critical insights, innovative capabilities, and end-to-end technical expertise that supports operational excellence and drives commercial and strategic success.
Across our group, we work to embody the PMY ethos – striving to be professional, dynamic, collaborative, and creative partners. Each of our companies brings deep technical knowledge and diverse global experience, enabling us to provide a truly integrated, turn‑key solution spanning consulting and design, implementation and operations, software, and data, as well as brand, creative, content, and fan experiences.
At PMY Group, we are proud to be working with more than 1,000 valued clients in 15 countries. We have built a team of more than 500 talented professionals with more than 40 years of combined industry experience.
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 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
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.
Data Scientist employer: PMY Group
At PMY Group, we pride ourselves on being an exceptional employer, offering a dynamic and collaborative work culture that empowers our employees to make a real impact in the live environment sector. With a focus on professional growth, flexible working arrangements, and a commitment to diversity, we provide our team members with the tools and opportunities to thrive while contributing to innovative projects that enhance the experiences of millions. Join us in London as a Performance Data Scientist and be part of a passionate team dedicated to transforming data into actionable insights for elite sports and beyond.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at PMY. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to sports analytics. This will give you an edge when discussing your experience.
✨Tip Number 3
Prepare for interviews by understanding PMY's ethos and how your skills can contribute to their mission. Tailor your responses to highlight how you can drive performance impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows your genuine interest in joining the PMY team.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data science and sports analytics. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Skills:When detailing your experience, focus on your proficiency in Python and SQL, as well as any machine learning or forecasting work you've done. We love seeing practical examples of how you've turned data into actionable insights.
Communicate Clearly:Remember, you’ll be working with non-technical stakeholders, so it’s crucial to demonstrate your ability to explain complex concepts simply. Use your application to show us how you can tell a compelling story with data.
Apply Through Our Website:We encourage you to submit your application through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at PMY Group
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python and SQL. Be ready to discuss your experience with machine learning and how you've tackled real-world datasets. They’ll want to see that you can turn complex data into actionable insights.
✨Understand the Sports Context
Since this role is all about sports performance, it’s crucial to understand the industry. Familiarise yourself with athlete monitoring and performance metrics. Being able to speak the language of coaches and analysts will show that you’re not just a techie but someone who gets the bigger picture.
✨Prepare for Collaboration Questions
Expect questions about teamwork and collaboration. Think of examples where you’ve worked with non-technical stakeholders or contributed to team projects. Highlight your communication skills and how you’ve translated complex data into clear insights for others.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific problems you’ve solved using data science. Prepare a couple of case studies where your analysis led to significant performance improvements or risk reductions. This will demonstrate your ability to apply your skills in a practical setting.
