At a Glance
- Tasks: Shape football performance using data science and machine learning to enhance player health and performance.
- Company: Join Manchester City, a leading football club committed to innovation and collaboration.
- Benefits: Enjoy 26 days' leave, private healthcare, free meals, and a range of lifestyle perks.
- Other info: Dynamic role with opportunities for growth in a supportive and flexible environment.
- Why this job: Make a real impact in sports by translating complex data into actionable insights for the team.
- Qualifications: MSc/PhD in Data Science or related field, with strong Python and SQL skills.
The predicted salary is between 63000 - 77000 £ per year.
The Role
This role sits at the intersection of performance science, machine learning and practical football decision making.
You will help shape how the First Team uses data to better understand player health, availability, physical performance and injury risk.
You will lead the development and validation of predictive models and data products, working with complex longitudinal datasets to test ideas, refine approaches and turn findings into useful outputs for practitioners.
A key part of the role is translating advanced analysis into tools people can use with confidence.
That may include explainable AI outputs, dashboards and web-based applications, alongside sensible monitoring so solutions remain robust and relevant over time.
You will work closely with colleagues across Sports Medicine, Physical Performance, Football Intelligence and Technology to move prototypes into production, define analytical requirements and contribute to wider Performance AI work across the Club and Group.
- What You'll Bring
- MSc, Ph D or equivalent industry experience in Data Science, Statistics, Computer Science, Mathematics, Artificial Intelligence or a similar quantitative discipline.
- Experience designing, training and validating machine learning or deep learning models.
- Experience working collaboratively with multidisciplinary teams in performance, sport, healthcare or a comparable high-performance environment.
- Highly proficient in Python and SQL, with experience working with complex datasets.
- Experience developing end-to-end machine learning workflows from research through deployment, including model validation, explainability, calibration and monitoring.
- Ability to translate complex analytical findings into clear, practical recommendations for non-technical stakeholders.
- Why Choose Us
Working at Manchester City means being supported to do your best, with the flexibility and encouragement to look after your wellbeing.
We are committed to helping our people learn, grow and thrive in a culture built on collaboration, openness and hard work.
As part of our team, you will receive 26 days' annual leave plus a day off for your birthday, private healthcare and dental cover, and an annual discretionary bonus.
You will also have access to a Health Cash Plan, Employee Assistance Programme with 24/7 GP support, and a company pension and life assurance.
Manchester-based employees also benefit from free on-site parking, complimentary breakfast and lunch, and access to a range of sports and leisure clubs.
You can enjoy a range of additional benefits, including cycle to work, Give As You Earn, discounted match tickets, savings in the City Store, a free City+ subscription, stadium tour discounts, and wider retail and lifestyle offers.
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Performance Data Scientist - Manchester City Men's First Team employer: Manchester City
Manchester City is an exceptional employer, offering a dynamic work environment where teamwork and collaboration are at the forefront. With a strong commitment to employee development, you will have access to growth opportunities and training that enhance your skills in facilities management. The vibrant culture of Manchester, combined with the chance to contribute to a world-class organisation, makes this role not just a job, but a meaningful career path.
