Our client is an established insights and research agency working with major brands across tech, finance, and consumer goods. They’re known for primary research that goes beyond the data — storytelling, narrative, and outputs that actually land with clients.

Following a period of change, they’re in a positive reset. A new CEO has joined with a clear focus on culture and momentum. The team is lean, collaborative, and ready to grow.

You’ll be embedded across a mix of accounts — contributing to research design, analysis, and final storytelling. From day one, you’ll get real exposure:

• Supporting qual and quant projects across major client accounts
• Contributing to analysis and shaping the narrative in outputs
• Acting as a first point of contact with clients earlier than you might elsewhere
• Working closely with senior team members in a relatively flat structure
• Broadening your methodology toolkit as you go

You’re probably an RE ready to step up — or you’ve recently been promoted to SRE and want a role that challenges you properly. 

You’re the kind of person who:

• Has a mixed-methods background (or is actively building one)
• Loves turning insight into a clear, compelling story
• Speaks up in rooms — confidently, not loudly
• Wants to be close to clients early, not hidden behind senior layers
• Is ambitious about growing into more senior responsibility over time

If you’ve been told you’re “sparky”, take that as your signal to apply.

• A genuine step-up role with a path toward Research Manager
• Work on high-profile accounts across tech, consumer, and finance
• Hybrid working from a great location in central London
• A supportive team at a moment of real positive change
• Early client exposure and room to develop your own methodological range

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!