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- Tasks: Drive innovation in football analytics and develop predictive models for performance evaluation.
- Company: Join Tottenham Hotspur, a legendary football club with a global fanbase and state-of-the-art facilities.
- Benefits: Enjoy a full-time role with opportunities for growth and collaboration in a dynamic environment.
- Why this job: Make a real impact on football strategy while working with cutting-edge data science solutions.
- Qualifications: Master’s or Ph.D. in a quantitative field; experience in data science and football analytics required.
- Other info: Be part of a culture that values innovation, teamwork, and continuous improvement.
The predicted salary is between 80000 - 120000 £ per year.
Join to apply for the Senior Data Scientist role at Tottenham Hotspur Football Club
Join to apply for the Senior Data Scientist role at Tottenham Hotspur Football Club
Direct message the job poster from Tottenham Hotspur Football Club
Talent Acquisition Partner – Tottenham Hotspur Football Club
Who We Are
Founded in 1882, Tottenham Hotspur is an iconic football club, playing in the Premier League and Women’s Super League. From North London to the world, our fanbase spans continents, cultures, and generations. Spurs is a club that’s always dared to push boundaries, breaking new ground and rewriting history.
We offer world-class facilities: In 2019, we opened our state-of-the-art Stadium, a £1 billion landmark that’s the beating heart of North Tottenham’s transformation. More than just a football ground, it’s an engine of change — creating 4,000 jobs and injecting £300 million into the local economy every year.
We’re at our brightest when we’re all together. Our Club, our teams, our community.
There is only one Hotspur. Tottenham Hotspur.
Job Purpose
The Football Insights Department provides data-derived insights that impact decision-making across football departments, from the First Team to the Academy and including both Men\’s and Women\’s teams. Our mission is ensuring that critical processes, from player recruitment to performance optimisation, are consistently informed by thorough, high-quality information. With a focus on building a single source of truth, developing rigorous quantitative models, and delivering effective tools for interrogating data, our intention is to empower stakeholders with insightful statistical analyses that are both timely and actionable. Leveraging data as our fundamental commodity and powered by talent, we are looking to push the cutting edge of football analytics to drive the club towards its ambitious footballing vision.
The Club is seeking a senior data scientist to join the data science team.
As a Senior Data Scientist, you will play a key role in the data science team driving innovation and advanced analytics in football. Your focus will be on:
- Expanding our understanding of football through advanced modelling and analysis of tracking and event data.
- Developing and productionising predictive models to enhance match analysis, player performance evaluation, opponent analysis, and player identification.
- Collaborating with stakeholders across all squads (Men\’s, Women\’s Teams) to develop and deliver impactful insights.
- Driving the adoption of data-driven decision-making across football departments.
Key Responsibilities
- Work with tracking and event data to enhance understanding of match performance and tactical trends.
- Develop and maintain advanced statistical and machine learning models to generate meaningful insights from large football datasets.
- Apply innovative approaches to analysing team performance, match dynamics, and player performance.
- Ensure model outputs are interpretable and relevant for key stakeholders, including coaches, analysts, and scouts.
- Validate and refine models continuously to improve predictive accuracy and real-world application.
- Deploy models as self-service tools, ensuring insights are accessible and actionable.
- Ensure models and data solutions are robust, scalable, and well-integrated into existing club workflows.
- Collaborate with data engineers to improve model deployment efficiency and automation.
- Work closely with technical and non-technical stakeholders to translate analytical outputs into football-relevant insights.
- Develop interactive dashboards and visualisations to communicate complex data in an intuitive way.
- Engage with cross-functional teams to ensure alignment of data science initiatives with football objectives.
- Stay up to date with the latest research, methodologies, and tools in football analytics and machine learning.
- Experiment with emerging techniques to enhance the club\’s competitive advantage in data science.
- Promote a culture of continuous improvement and knowledge sharing within the data science team.
Personal Attributes
We are looking for a highly analytical and innovative thinker who can bridge technical expertise and football knowledge:
- Thinks ahead, generates innovative ideas.
- Respects others, builds relationships, collaborates.
- Delivers to the highest standards, takes responsibility.
- Works well in a fast-paced football environment.
Skills & Experience
Education & Background:
- Master’s or Ph.D. in a quantitative discipline such as Mathematics, Statistics, Computer Science, Data Science, or related fields.
- Experienced in data science, machine learning and football analytics.
Technical Skills:
- Strong experience with tracking data model development.
- Proficiency in Python and SQL for data analysis and model development.
- Strong experience handling large-scale datasets, including tracking and event-based data.
- Strong experience with statistical modelling, predictive analytics, and machine learning techniques.
- Ability to design, test, and validate models, ensuring reliability and robustness.
- Familiarity with cloud computing environments and model deployment best practices (Azure, Snowflake, dbt).
- Strong data visualisation and reporting skills to communicate insights effectively.
- Understanding of football data structures and how they can be leveraged for decision-making.
What sets this role apart?
- Work on cutting-edge data science solutions with direct impact on football performance and strategy.
- Develop and implement advanced analytics that shape the club’s decision-making process.
- Play a key role in innovating football data science within an elite performance environment.
Our values that bind us
DREAM THE IMPOSSIBLE – Impossible made possible when we think outside the box
DARE TO CHANGE THE GAME – Relentlessly strive for glory and leave our mark on the world
DO IT OUR WAY – Win the right way, never at all costs.
Our Responsibility to you
Safeguarding is fundamental to the success in all that we do. Successful candidates are to be reminded they would be subject to various background, DBS, and reference checks for this role.
We welcome applications from anyone regardless of age, disability, gender, race, or ethnic and national origins, religion or belief, or sexual orientation.
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Senior Data Scientist employer: Tottenham Hotspur Football Club
Contact Detail:
Tottenham Hotspur Football Club Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in football analytics and data science. This will not only help you understand the role better but also allow you to engage in meaningful conversations with the hiring team about how your skills can contribute to their objectives.
✨Tip Number 2
Network with current or former employees of Tottenham Hotspur, especially those in the Football Insights Department. They can provide valuable insights into the club's culture and expectations, which can be beneficial during interviews.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully applied machine learning or statistical modelling in a sports context. Highlighting your practical experience will demonstrate your capability to deliver actionable insights relevant to the role.
✨Tip Number 4
Showcase your ability to communicate complex data insights clearly. Consider preparing a brief presentation or visualisation that illustrates your analytical approach, as this could set you apart from other candidates during the interview process.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and football analytics. Emphasise your technical skills, particularly in Python and SQL, and any experience with tracking data model development.
Craft a Compelling Cover Letter: In your cover letter, express your passion for football and how your analytical skills can contribute to Tottenham Hotspur's mission. Mention specific projects or experiences that demonstrate your ability to drive innovation in data science.
Showcase Your Technical Skills: Include examples of your work with large-scale datasets and statistical modelling. If you have developed predictive models or dashboards, describe these projects briefly to illustrate your capabilities.
Highlight Collaboration Experience: Since the role involves working with various stakeholders, mention any past experiences where you collaborated with non-technical teams. This will show your ability to translate complex data into actionable insights for different audiences.
How to prepare for a job interview at Tottenham Hotspur Football Club
✨Know Your Data
As a Senior Data Scientist, you should be well-versed in the specific datasets relevant to football analytics. Familiarise yourself with tracking and event data, and be prepared to discuss how you've used these in past projects.
✨Showcase Your Modelling Skills
Be ready to explain your experience with statistical modelling and machine learning techniques. Prepare examples of predictive models you've developed, focusing on their impact on decision-making in sports contexts.
✨Communicate Effectively
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex data insights in simple terms. Consider preparing a few visualisations or dashboards to demonstrate your ability to communicate findings effectively.
✨Emphasise Collaboration
Highlight your experience working in cross-functional teams. Discuss how you've collaborated with coaches, analysts, and other departments to drive data-driven decision-making, showcasing your ability to bridge the gap between data science and football knowledge.
