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: 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 sports analytics.
- Other info: Diverse and inclusive work environment with excellent growth potential.
The predicted salary is between 48000 - 72000 £ per year.
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.
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, 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.
- 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.
- Experience researching and working with football data, including tracking data, event data, pose data.
- 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.
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.
If this sounds like the perfect role for you, please submit your application by Wednesday 28th January.
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 Nottingham employer: Complementary Training
Contact Detail:
Complementary Training Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Football Data Scientist in Nottingham
✨Tip Number 1
Network like a pro! Reach out to people in the football data science field, especially those connected to Manchester United. Use platforms like LinkedIn to connect and engage with them; you never know who might help you land that dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects related to football. Whether it's predictive modelling or performance analysis, having tangible examples will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for the interview by brushing up on your football knowledge! Understand the tactical and technical aspects of the game, as this will help you communicate effectively with non-technical stakeholders during discussions.
✨Tip Number 4
Stay proactive! Keep an eye on the latest trends in data science and football analytics. Being knowledgeable about current developments will not only impress during interviews but also show your passion for continuous growth in the field.
We think you need these skills to ace Senior Football Data Scientist in Nottingham
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 Skills to the Role: Make sure to align your skills and experiences with the specific requirements of the Senior Football Data Scientist position. Highlight your expertise in machine learning, statistical methods, and any experience with football data to show us you’re the right fit.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your achievements and how they relate to the role. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to submit your application through our official website! This ensures we receive all your details correctly and helps us keep track of your application. We can’t wait to hear from you!
How to prepare for a job interview at Complementary Training
✨Know Your Football Data
Make sure you brush up on the latest trends and techniques in football data science. Familiarise yourself with machine learning algorithms, statistical methods, and how they apply to football analytics. Being able to discuss specific examples of how you've used these techniques in past projects will show your passion and expertise.
✨Understand the Club's Vision
Dive deep into Manchester United's mission and values. Understand their approach to data-driven decision-making and how your role as a Senior Football Data Scientist fits into that vision. This will help you articulate how you can contribute to their goals during the interview.
✨Prepare for Technical Questions
Expect to be asked about your experience with programming languages and data modelling. Be ready to discuss your familiarity with cloud-based tools like Azure and Databricks. Practising coding challenges or discussing your previous projects can help you feel more confident when answering these questions.
✨Showcase Your Collaborative Spirit
Since the role involves working closely with football experts and a multi-disciplinary team, highlight your teamwork skills. Share examples of how you've successfully collaborated in the past, especially in high-pressure situations. This will demonstrate that you're not just a data whiz but also a great team player.