At a Glance
- Tasks: Lead the development of innovative football analytics and machine learning models.
- Company: Join Hudl, a leader in sports technology with a collaborative culture.
- Benefits: Enjoy flexible working, professional growth support, and wellbeing resources.
- Other info: Opportunity for career growth in a dynamic and inclusive environment.
- Why this job: Make a real impact in football analytics and work with industry-leading data.
- Qualifications: Strong quantitative background and experience in statistical modelling required.
The predicted salary is between 60000 - 80000 € per year.
Hudl are seeking a Lead Data Scientist to join their Global Football Metrics team, driving the development of cutting‑edge machine learning models and football analytics products used across the professional game. This role offers the opportunity to work with industry‑leading football data, delivering tactical and recruitment insights through advanced statistical modelling and scalable data solutions.
Key Responsibilities
- Lead research and development of new football models and metrics
- Build statistical and machine learning solutions using large‑scale football datasets
- Collaborate cross‑functionally with Engineering, Product, QA, and Design teams
- Contribute to scalable data pipelines, orchestration, and monitoring tools
- Mentor team members and promote best practices in statistical rigour and development
- Deliver innovative tactical and recruitment insights for real‑world application
Essential Requirements
- Strong background in a quantitative discipline
- Proven experience developing statistical and machine learning models
- Strong problem‑solving and collaborative mindset
- User‑focused approach with interest in applied analytics
- Willingness to learn and contribute across technical areas
Desirable
- Experience with football event or tracking data
- Knowledge of Python, PostgreSQL, and Redshift
- Experience with R or Stan considered beneficial
What Hudl Offer
- Flexible & remote working options
- Professional development and career growth support
- Wellbeing resources and employee support programmes
- Modern office spaces and remote working technology
- Inclusive, collaborative working culture
An outstanding opportunity to work at the forefront of football analytics with one of the world’s leading sports technology companies.
Lead Data Scientist – Global Football Metrics | Hudl in London employer: TheASPA
Hudl is an exceptional employer, offering a dynamic and inclusive work culture that fosters collaboration and innovation in the field of football analytics. With flexible and remote working options, alongside robust professional development opportunities, employees are empowered to grow their careers while contributing to cutting-edge projects that shape the future of sports technology. Joining Hudl means being part of a passionate team dedicated to delivering impactful insights and solutions in the world of football.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist – Global Football Metrics | Hudl in London
✨Tip Number 1
Network like a pro! Reach out to people in the football analytics space, especially those at Hudl. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and football analytics projects. This is your chance to demonstrate your expertise and passion for the game.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios and discuss how you'd apply your knowledge to improve football metrics at Hudl.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the Hudl team.
We think you need these skills to ace Lead Data Scientist – Global Football Metrics | Hudl in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with statistical and machine learning models, especially if you've worked with football data. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about football analytics and how your background makes you a great fit for our team. Keep it engaging and relevant to the role.
Showcase Your Projects:If you've worked on any projects related to football metrics or data science, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at TheASPA
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and techniques in data science, especially as they relate to football analytics. Brush up on your knowledge of machine learning models and statistical methods that are relevant to the role, so you can confidently discuss how you would apply them to real-world scenarios.
✨Showcase Your Collaboration Skills
Since this role involves working with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any cross-functional projects you've been part of, and emphasise your ability to communicate complex data insights to non-technical stakeholders.
✨Prepare for Technical Questions
Expect to face technical questions related to Python, PostgreSQL, and machine learning. Practise coding challenges or case studies that might come up during the interview. Being able to demonstrate your problem-solving skills in a practical way will set you apart from other candidates.
✨Demonstrate Your Passion for Football Analytics
Hudl is looking for someone who not only has the technical skills but also a genuine interest in football. Be ready to discuss your favourite football metrics or analytics tools, and how you think they can impact the game. Showing enthusiasm for the sport will resonate well with the interviewers.
