You will work within a small, highly technical team responsible for developing and scaling computer vision-driven analytics, while collaborating closely with consulting teams that translate insights into strategic recommendations for clients.

What you’ll be working on

• Developing and improving computer vision models used to analyse sports broadcast footage
• Detecting and tracking brand exposure, sponsorship assets and on-screen visibility
• Working with large datasets and video/image pipelines to generate commercial insights
• Writing Python scripts and data workflows to support analysis and automation
• Extracting and managing data using SQL
• Supporting the transition from legacy analysis workflows to new automated CV-driven systems
• Contributing to insights that support sponsorship valuation and media analytics projects

Tech & tools

• Python
• SQL
• Computer vision / machine learning models
• Image and video analysis workflows

Initially this is a technical, hands-on data science role, focused on building and scaling computer vision analytics.

Over time, there is the opportunity to become more involved in client-facing consulting projects, helping translate technical outputs into commercial insights for stakeholders across the global sports industry.

What we’re looking for

• Experience with Python and SQL
• Exposure to computer vision or image/video analysis
• Strong analytical thinking and problem-solving ability
• Interest in applying data science to real-world commercial challenges
• A genuine interest in sport and the sports business industry

We are open to candidates at Analyst or Senior Analyst level, typically with 2–4 years of relevant experience in areas such as:

• Data science
• Machine learning
• Computer vision
• Analytics engineering
• Sports analytics
• Data consulting

This is a rare opportunity to apply cutting-edge computer vision technology to some of the most recognisable brands, leagues and sponsorship programmes in global sport.

📩 If you’d like to learn more, apply!