At a Glance
- Tasks: Drive innovation in football analytics and develop predictive models for performance evaluation.
- Company: Join Tottenham Hotspur, an iconic football club with a rich history and global fanbase.
- Benefits: Competitive salary, access to world-class facilities, and opportunities for professional growth.
- Other info: Collaborative environment focused on continuous improvement and innovation in sports analytics.
- Why this job: Make a real impact on football strategy and performance through cutting-edge data science.
- Qualifications: Master’s or Ph.D. in a quantitative field and experience in data science and football analytics.
The predicted salary is between 48000 - 72000 £ per year.
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.
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.
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
- Model Development: 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.
- Model Deployment: Deploy models as self-service tools, ensuring insights are accessible and actionable.
- Collaboration & Communication: Work closely with technical and non-technical stakeholders to translate analytical outputs into football-relevant insights.
- Research & Innovation: Stay up to date with the latest research, methodologies, and tools in football analytics and machine learning.
Personal Attributes
- 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
- 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.
- 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.
- Familiarity with cloud computing environments and model deployment best practices (Azure, Snowflake, dbt).
- Strong data visualisation and reporting skills to communicate insights effectively.
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.
Senior Data Scientist in City of London employer: Tottenham Hotspur
Tottenham Hotspur is an exceptional employer, offering a unique opportunity to work at the forefront of football analytics within a world-class environment. With state-of-the-art facilities and a commitment to innovation, employees benefit from a collaborative culture that fosters professional growth and development. The club's dedication to data-driven decision-making not only enhances individual careers but also contributes to the broader success of both men's and women's teams, making it a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the football analytics scene. Attend events, join online forums, and don’t be shy to reach out on LinkedIn. 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 analytics. Use GitHub or a personal website to display your work. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and football knowledge. Be ready to discuss your experience with predictive models and how they can impact match analysis. Practice common interview questions and think about how you can relate your answers to Tottenham Hotspur’s mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Spurs family. Let’s make it happen!
We think you need these skills to ace Senior Data Scientist in City of London
Some tips for your application 🫡
Show Your Passion for Football:When you're writing your application, let your love for football shine through! Mention any relevant experiences or insights you've gained from the game, as this will resonate with us and show that you understand the culture at Tottenham Hotspur.
Highlight Your Technical Skills:Make sure to clearly outline your technical expertise in data science, especially with Python, SQL, and machine learning. We want to see how your skills can contribute to our mission of pushing the boundaries of football analytics.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Senior Data Scientist role. Show us how your experience aligns with our goals and how you can make an impact on our teams.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team at Tottenham Hotspur!
How to prepare for a job interview at Tottenham Hotspur
✨Know Your Data Inside Out
As a Senior Data Scientist, you’ll be expected to have a deep understanding of football analytics. Brush up on your knowledge of tracking and event data, and be ready to discuss how you've used these in past projects. Prepare examples that showcase your experience with predictive modelling and how it has influenced decision-making.
✨Showcase Your Collaboration Skills
This role involves working closely with both technical and non-technical stakeholders. Be prepared to share experiences where you’ve successfully communicated complex data insights to diverse teams. Highlight any instances where your collaboration led to impactful outcomes, especially in a fast-paced environment like football.
✨Demonstrate Your Innovative Thinking
Tottenham Hotspur is looking for someone who can push boundaries. Think about innovative approaches you’ve taken in your previous roles, particularly in model development or deployment. Be ready to discuss how you stay updated with the latest methodologies and how you’ve applied them to enhance performance.
✨Prepare for Technical Questions
Expect to dive into technical discussions during your interview. Brush up on your Python and SQL skills, and be ready to explain your experience with large-scale datasets and machine learning techniques. You might even be asked to solve a problem on the spot, so practice articulating your thought process clearly.
