At a Glance
- Tasks: Lead innovative human data science projects to optimise team performance and reduce fatigue.
- Company: Join McLaren Racing, a pioneering team in the world of Formula One.
- Benefits: Enjoy private healthcare, car schemes, life insurance, and a vibrant work environment.
- Why this job: Make a real impact on high-performance sports while working with cutting-edge technology.
- Qualifications: Master's or Ph.D. in Sports Science or Data Science with strong analytical skills.
- Other info: Dynamic role with opportunities for travel and collaboration across multidisciplinary teams.
The predicted salary is between 36000 - 60000 £ per year.
At McLaren Racing, we believe only by chasing performance in everything we do can we give ourselves the best chance of success. Performance on track and in the factory. Performance for our people, our business and our partners. It's about more than winning. It's about hitting the highest standards, and then raising the bar again.
Purpose of the Role: We are seeking a highly motivated and skilled Sports Scientist with a strong background in data science to join our Formula One Racing Team. In this role, you will spearhead our Human Data Science projects, utilising advanced analytical techniques to optimise Team performance and minimise the impact of fatigue on the Team. You will work closely with engineers and medical staff to translate complex data into actionable insights that inform Team training, strategy, and well-being. This is a stand-alone role with no direct reports. The role holder will need to collaborate with many stakeholders of all levels in the Team and be able to work self-sufficiently. Being a self-motivated individual with a proactive mindset, driven to set and pursue ambitious performance goals that elevate overall team success is key. There would be occasional travel required for this role, and it would be based at the McLaren Technology Centre as a full-time position, with potential for some hybrid working.
Principal Accountabilities:
- Primary Mission: Minimise the impact of fatigue on performance to drive sustained human performance excellence across the F1 team by applying cutting-edge sports science, data analysis, and tailored interventions.
- Project Leadership: Lead on an innovative human data science project, implementing an athlete management system for the McLaren F1 Team.
- Data Collection: Maintain the continuity of data collection into the athlete management system including developing interfaces for subjective data, conducting fatigue assessments, fitness testing and providing technical support for users.
- Data Analysis and Interpretation: Analyse and interpret human performance data from various sources to identify trends and areas for improvement.
- Alignment: Ensure alignment with team objectives and timelines while fostering collaboration within medical, human performance and team operations.
- Performance Optimization: Develop and implement data-driven strategies for preventing injury or loss of performance from fatigue.
- Technology Integration: Evaluate and integrate cutting-edge technologies and methodologies for fatigue data collection and analysis.
- Communication and Reporting: Clearly communicate findings and preventative recommendations through reports, presentations, and one-on-one sessions.
- Research and Development: Awareness of latest research and innovation to maintain competitive advantage in human performance.
Knowledge, Skills and Experience:
- Master's or Ph.D. in Sports Science, Exercise Physiology, Data Science, or a related field.
- Proven performance delivery in Sports Science, particularly in high-performance environments.
- Strong analytical skills with proficiency in data analysis tools and programming languages.
- Experience analysing physiological determinants of different sports.
- Expertise with human performance monitoring technologies and athlete management systems.
- Excellent communication and collaboration skills.
- Experience of project management and system implementation.
Personal Attributes:
- Time commitment: Available to support the travelling team as needed.
- Detail-oriented: Obsessive about the finer points in data and human performance trends.
- Excellent communicator: Translates complex data into clear insights.
- Collaborative: Works seamlessly across multidisciplinary teams.
- Self-starter: Able to succeed with limited direct supervision.
- Problem-solver: Anticipates challenges and delivers practical solutions.
- Results-focused: Pushing for actionable fatigue preventions.
- Integrity: Maintains professional integrity when handling sensitive data.
- Inquisitive learner: Stays up to date with scientific advances in sports.
What McLaren can offer? We constantly strive to be better tomorrow than we are today. Our ambition is to be the most pioneering and exhilarating racing team in the world, and our collective task is to set the standards for high performance in sport. We encourage and support diversity, equity and inclusion.
Sport Scientist (Human Data Science) in Woking employer: TheASPA
Contact Detail:
TheASPA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sport Scientist (Human Data Science) in Woking
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to McLaren Racing. Attend events, join online forums, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your data science projects and sports science insights. This is your chance to demonstrate how you can optimise performance and tackle fatigue – make it visually appealing and easy to navigate!
✨Tip Number 3
Prepare for interviews by practising common questions related to sports science and data analysis. Think about how you can translate complex data into actionable insights, just like you would in the role. Mock interviews with friends can help you nail your delivery!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, tailor your application to highlight your experience with human performance monitoring and data analysis. Make sure to connect your skills directly to what McLaren Racing is looking for!
We think you need these skills to ace Sport Scientist (Human Data Science) in Woking
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Sport Scientist role. Highlight your experience in data science and sports performance analysis, and don’t forget to showcase any relevant projects you've led or contributed to.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about sports science and how your skills align with McLaren's mission. Be sure to mention specific examples of how you've minimised fatigue or optimised performance in previous roles.
Show Off Your Analytical Skills: Since this role involves a lot of data analysis, make sure to highlight your proficiency with data analysis tools and programming languages. Include any specific examples where your analytical skills have made a real impact on performance.
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role as soon as possible!
How to prepare for a job interview at TheASPA
✨Know Your Data Science Inside Out
Make sure you brush up on your data analysis skills and be ready to discuss specific tools and programming languages you've used. McLaren Racing is looking for someone who can translate complex data into actionable insights, so be prepared to showcase your analytical prowess with real examples.
✨Understand the Role of Fatigue in Performance
Since minimising fatigue is a key part of the role, do some research on how fatigue impacts performance in high-pressure environments like Formula One. Be ready to discuss strategies you've implemented or would consider to manage fatigue effectively within a team setting.
✨Show Off Your Collaborative Spirit
This role requires working closely with engineers and medical staff, so highlight your experience in multidisciplinary teams. Share examples of how you've successfully collaborated with different stakeholders to achieve common goals, especially in high-performance settings.
✨Prepare for Practical Scenarios
Expect to face scenario-based questions during the interview. Think about how you would approach real-world challenges related to data collection and performance optimisation. Practise articulating your thought process clearly, as communication is key in this role.