At a Glance
- Tasks: Analyse sports data to enhance athlete performance and minimise injury risks.
- Company: Join PMY Group, a leader in sports analytics based in Greater London.
- Benefits: Flexible working hours, professional growth opportunities, and a dynamic work environment.
- Other info: Collaborate with both technical and non-technical stakeholders in an innovative team.
- Why this job: Combine your passion for data science with real-world impact in the sports industry.
- Qualifications: 4-8 years of experience in Python and SQL, plus strong communication skills.
The predicted salary is between 50000 - 70000 € per year.
PMY Group, located in Greater London, is seeking a Performance Data Scientist to join our EMEA team. This role combines cutting-edge data science with real-world sports performance impact. You will analyze sports data with the aim to improve athlete performance and reduce injury risks.
Ideal candidates should have:
- 4–8 years of experience
- Expertise in Python and SQL
- Comfortable working with non-technical stakeholders
PMY offers a dynamic environment with opportunities for professional growth and flexibility in working hours.
Performance Data Scientist - Sports Analytics & Impact in London employer: PMY Group
PMY Group is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about sports analytics. Located in Greater London, we offer our employees flexible working hours, ample opportunities for professional growth, and the chance to make a tangible impact on athlete performance and safety. Join us to be part of a collaborative team that values your expertise and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Performance Data Scientist - Sports Analytics & Impact in London
✨Tip Number 1
Network like a pro! Reach out to people in the sports analytics field 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 analysis projects, especially those related to sports. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss how you've used these tools to solve real-world problems in sports performance.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Performance Data Scientist - Sports Analytics & Impact in London
Some tips for your application 🫡
Show Your Passion for Sports:When writing your application, let your love for sports shine through! We want to see how your passion aligns with our mission to improve athlete performance. Share any relevant experiences or projects that highlight your enthusiasm.
Highlight Your Technical Skills:Make sure to showcase your expertise in Python and SQL clearly in your application. We’re looking for someone who can dive deep into data, so don’t hold back on detailing your technical prowess and any relevant projects you've worked on.
Tailor Your Application:Take the time to customise your application for this specific role. We appreciate candidates who understand our needs and can demonstrate how their skills and experiences make them a perfect fit for the Performance Data Scientist position.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at PMY Group
✨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 used these tools to analyse sports data. They’ll want to see how you can apply your technical expertise to real-world scenarios.
✨Understand the Sports Context
Familiarise yourself with current trends in sports analytics and performance improvement. Being able to talk about how data impacts athlete performance and injury prevention will show that you’re not just a tech whiz, but also passionate about sports.
✨Communicate Like a Pro
Since you'll be working with non-technical stakeholders, practice explaining complex data concepts in simple terms. Think of examples where you’ve successfully communicated findings to a non-technical audience, as this will demonstrate your ability to bridge the gap between data and decision-making.
✨Show Your Flexibility
PMY values flexibility, so be prepared to discuss how you manage your time and adapt to changing priorities. Share examples from your past experiences where you’ve successfully navigated a dynamic work environment, highlighting your ability to thrive under pressure.
