At a Glance
- Tasks: Develop data-driven solutions to enhance football performance across all teams.
- Company: Join the iconic Manchester United, a leader in global football.
- Benefits: Enjoy wellness support, exclusive discounts, gym access, and career development opportunities.
- Why this job: Be part of a transformative team that shapes the future of football analytics.
- Qualifications: Strong background in data science, programming, and a passion for football.
- Other info: Diverse and inclusive workplace with a commitment to personal growth.
The predicted salary is between 36000 - 60000 £ per year.
Location: Carrington Training Complex
At Manchester United, we believe that excellence on the pitch starts with excellence off the pitch. Our team thrives in a high-performance environment, united by a shared passion for success. We aim to elevate the standard of performance through collaboration and continuous growth, creating a space where everyone can contribute their best to our common goals. We work together at our iconic Manchester United offices, enabling connection and innovation as we look ahead to what we can achieve as a global football club. We are excited to bring in passionate people who share our vision and drive for success.
The Role
You’ll be part of the Data & AI Team, playing a key role in the club’s transformation into a fully data-driven organisation. The team delivers powerful insights, builds trusted data products, and operates modern data platforms that enable better decisions and success on and off the pitch. We’re looking for a Senior Football Data Scientist to play a key part in this transformation. In this role, you’ll help build, develop and maintain models that generate value from football data. If you’re passionate about building the quantitative models to enable our football experts to make data-driven decisions, we’d love to hear from you.
Key Responsibilities
- Develop solutions using Data Science methods which contribute to solving football-related questions, across all of our teams: Men’s, Women’s and Academy, applied to recruitment, performance analysis, player development and football strategy.
- Apply a range of Data Science techniques as appropriate including machine learning algorithms, statistical and mathematical methods, and spatio-temporal modelling.
- Build foundational football models and metrics (e.g. to capture a team’s underlying performance or a player’s skill, to predict future performance or understand how a player or team may behave under a different context).
- Collaborate with football experts to identify high-impact performance questions, translate them into a clear analytical framework and communicate insights to enable data-informed decision making.
- Work closely in a multi-disciplinary data team to build and deploy well-documented models into an easily interpretable interface where scientific integrity is ensured.
- Execute, review and improve existing data pipelines and ML models.
- Own the full modelling workflow from data preparation and training to deployment and analysis.
- Work with cloud-based tools (Azure and Databricks) to support model development and deployment.
The Person
- Excellent mathematical and statistical knowledge, gained from a degree in a quantitative discipline, equivalent courses or demonstrable practical equivalent.
- Experience using programming languages to process and model large datasets.
- Demonstrable experience of applying data science techniques to sports data, such as Bayesian modelling, machine learning, predictive modelling and model validation and evaluation.
- Understanding of database technologies and software engineering principles including test-driven development, CI/CD, version control and working in a cloud-based infrastructure with data at scale.
- Ability to draw on knowledge of the tactical and technical aspects of football to explain outcomes and nuances of models to non-technical stakeholders.
- A growth mindset to actively seek feedback and continuous self-development as well as to positively impact the work of people around you.
- Diligent work ethic with flexibility to perform under pressure when needed.
- A proactive mindset to come up with new ideas and solutions with a drive to innovate and continuously push our football analytics capabilities beyond the current state of the art.
Desirable
- Experience researching and working with football data, including tracking data, event data, pose data.
What We Offer
- Annual incentive scheme
- Wellness Support with access to mental health resources, digital health checks, and nutritionists through Aviva Digicare+
- Workplace Exclusive Discounts through our United Rewards platform, giving you access to exclusive deals from the club and partners
- Gym Facilities in our onsite locations and opportunities for regular social events and team-building activities
- Enhanced family Leave Benefits and an opportunity to purchase additional holiday days
- Enhanced Career Development with access to professional learning platforms like LinkedIn Learning, and internal training programs
- A Supportive Work Environment that values diversity, equity and inclusion, and individual growth
Our Commitment to You
At Manchester United, we believe that a diverse and inclusive environment makes us stronger. We are committed to building a team where everyone feels welcomed, valued, and empowered to contribute their unique perspectives. Diversity, equity and inclusion are at the core of our recruitment strategy, and we welcome applicants from all backgrounds.
Ready to Join Us?
If this sounds like the perfect role for you, please submit your application by Wednesday 28th January.
Safeguarding & Legal Information
Manchester United is committed to safeguarding children and vulnerable adults, and as part of this commitment, all candidates will undergo a Disclosure and Barring Service check and reference checks. If you need any adjustments to help you perform at your best during the recruitment process, please feel free to contact us, and we will be happy to discuss them with you. It is unlawful to employ a person in a UK-based job who does not have permission to live and work in the UK. You should make yourself aware of how immigration laws apply to you before applying for any of our roles.
Senior Football Data Scientist in Manchester employer: Manchester United
Contact Detail:
Manchester United Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Football Data Scientist in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the football data science field, especially those connected to Manchester United. Attend events, join online forums, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to football. Use platforms like GitHub to share your code and insights. This will not only demonstrate your expertise but also your passion for the game.
✨Tip Number 3
Prepare for interviews by brushing up on your football knowledge! Understand the tactical and technical aspects of the game, and be ready to discuss how your data models can impact performance. Tailor your examples to show how you can contribute to Manchester United’s goals.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Manchester United team. Don’t forget to follow up after applying; a little persistence can go a long way!
We think you need these skills to ace Senior Football Data Scientist in Manchester
Some tips for your application 🫡
Show Your Passion for Football: When writing your application, let your love for football shine through! Share any relevant experiences or projects that highlight your enthusiasm for the game and how it connects to your data science skills.
Tailor Your Application: Make sure to customise your CV and cover letter to reflect the specific requirements of the Senior Football Data Scientist role. Highlight your experience with data science techniques in sports and how they can contribute to our goals at Manchester United.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your skills and experiences, making it easy for us to see how you fit into our team and the exciting work we do.
Apply Through Our Website: We encourage you to submit your application directly through our website. This ensures that your application reaches the right people and gives you the best chance to stand out in the process!
How to prepare for a job interview at Manchester United
✨Know Your Football Data
Make sure you brush up on your knowledge of football data and analytics. Understand the key metrics and models used in the sport, especially those relevant to recruitment and performance analysis. Being able to discuss specific examples will show your passion and expertise.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages and data science techniques. Bring examples of past projects where you've applied machine learning or statistical methods to sports data. This will demonstrate your ability to contribute to the team’s goals right from the start.
✨Communicate Clearly
Since you'll be working closely with non-technical stakeholders, practice explaining complex concepts in simple terms. Think about how you can translate your technical insights into actionable strategies for the football experts. Clear communication is key!
✨Embrace a Growth Mindset
During the interview, express your willingness to learn and adapt. Share examples of how you've sought feedback in the past and used it to improve your work. This aligns perfectly with the club's commitment to continuous growth and innovation.