Sports Scientist - Human Data Science

McLaren Racing
Woking, United Kingdom
5 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer (Forward Deployed)

Mind Foundry Oxford/ Hybrid, Oxfordshire, United Kingdom
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid

Principal Machine Learning Engineer (Live Sports Insights)

Sky Syon, London, United Kingdom
Hybrid

Senior Data Engineer

Ageas Insurance Limited Reigate, RH2 0AA, United Kingdom
£70,000 – £85,000 pa Hybrid

Senior Machine Learning Engineer (Recommendation)

Sky Syon, Greater London

DevOps Engineer

Ocado United Kingdom

Engineering Manager (Firmware)

Ocado United Kingdom
Posted
30 Dec 2025 (5 months ago)

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, utilizing advanced analytical techniques to optimize 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. Enhance the physical and cognitive readiness of our team, including across multiple races involving long haul flights, and disrupted sleep across multiple time zones in one of the world’s most demanding competitive environments.

Project Leadership Lead on an innovative human data science project, implementing an athlete management system for the McLaren F1 Team. The goal of this project is to diagnose and prevent fatigue within the 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, such as wearable connectivity. This remit includes proactively managing the risk of ‘surveillance fatigue’.

Data Analysis and Interpretation Analyse and interpret human performance data from various sources, including subjective and physiological biometrics to identify trends, areas for improvement, and proactively identify risk areas for fatigue.

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, while integrating human factors across different groups within the F1 Team.

This includes, but is not limited to:

  • Travelling engineers, strategists and critical decision makers
  • Pitstop crew and mechanics
  • UK Based Mission Control group
  • Extension to other UK based McLaren staff, e.g. Shift workers
  • Drivers and driver development group


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, fostering a culture of continuous improvement and contributing to positive information feedback loops. Educate team members in latest sport science best practices.

Research and Development Awareness of latest research and innovation to maintain competitive advantage in human performance. The role is focused on preventing the impact of fatigue in the real world and is not a research-based role.

Knowledge, Skills and Experience:

  • Master’s or Ph.D. in Sports Science, Exercise Physiology, Data Science, or a related field. BASES or equivalent accreditation.
  • Proven performance delivery in Sports Science, particularly multi-disciplinary team in high-performance environments such as elite or professional sport
  • Strong analytical skills with proficiency in data analysis tools and programming languages.
  • Experience analysing the physiological determinants of a different sports and alignment and monitoring of support accordingly
  • Expertise with human performance monitoring technologies, wearable data collection, athlete management systems, physiological testing and monitoring tools.
  • Excellent communication and collaboration skills, with the ability to present complex data in an understandable manner across multidisciplinary teams
  • Experience of project management and system implementation.
  • Excellent presentation and communication skills with the ability to communicate complex data to different audiences in a clear and simple way


Personal Attributes:

  • Time commitment Within the role, available to support the travelling team as needed, included associated weekend work, occasionally time shifted, and with occasional travel.
  • Detail-oriented Obsessive about the finer points in data and human performance trends.
  • Excellent communicator Translates complex data into clear insights, actionable by team members with varying levels of relevant expertise.
  • Collaborative Works seamlessly across multidisciplinary teams.
  • Self-starter Able to succeed with limited direct supervision, including supporting a race team which is regularly in different time zones and continents.
  • Problem-solver Anticipates challenges and delivers practical solutions in both real-time and foresees opportunities for future focus.
  • Results-focused Pushing for actionable fatigue preventions, without diluting wider team objectives.
  • Integrity Maintains professional integrity when handling sensitive data and high-performance demands
  • 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 show up every day with energy and enthusiasm, ready to play our part.

We encourage and support diversity, equity and inclusion. We will actively promote a culture that values difference and eliminates discrimination in our workplace.

McLaren Racing is based at the iconic McLaren Technology Centre (MTC) near Woking. Our state of the art, sustainable campus offers many facilities including a gym, restaurant and indoor and outdoor break-out areas, as well as direct access to park and common land. The MTC is connected to Woking mainline station via regular shuttle buses, from which London Waterloo is a 30 minute train ride.

We offer a comprehensive package of benefits including private healthcare, car schemes, life insurance and generous pension contributions.
#J-18808-Ljbffr

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

AI Jobs UK 2026: What to Expect Over the Next 3 Years

AI Jobs UK 2026: roles, salaries and the generative AI, machine learning and applied AI hiring trends shaping UK artificial intelligence careers. Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.