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!

A leading UK Property-Tech business providing digital valuation, property risk decisioning, and data services to financial institutions and property professionals.

Their platforms support major mortgage lenders as well as property developers and investors, helping organisations make better lending and property decisions through high-quality data, technology, and analytics.

You’ll play a key role within the analytics function, leading complex analytical projects and delivering high-impact insight to support both product development and client decision-making.

Working closely with product, engineering, and commercial teams, you’ll analyse large and complex datasets to identify trends, evaluate performance, and generate insights that support strategic decisions across the business.

You’ll also contribute to the development and improvement of analytical products and methodologies, ensuring outputs are robust, scalable, and aligned with both client needs and business objectives.

Key attributes of the suitable Principal Analyst include:

• Strong technical skills across SQL and Python (Spark or similar tools beneficial), with the ability to conduct complex analysis on large datasets
• Experience performing analytical deep-dives and back-testing risk metrics to support product development and performance monitoring
• Confident in stakeholder engagement and communicating complex analytical findings to both technical and commercial audiences
• Ideally, a background in one of mortgage lending, property analytics, consultancy, or a data provider supporting financial services

This organisation supports thousands of UK SMEs and advisors with expert-led tax, legal, and regulatory guidance.

Subscription-led and digitally evolving, they combine deep domain expertise with modern data and product innovation to help businesses navigate complexity with confidence.

An opportunity for an experienced Data & BI Manager to take ownership of the company’s data strategy and BI capability.

You’ll lead governance, CRM integrity, and executive reporting, working cross-functionally to drive smarter commercial decision-making across sales, marketing, editorial, and product.

This is a strategic, hands-on role shaping how data fuels growth, performance, and digital innovation within a subscription-led business.

Key attributes of the suitable Data & BI Manager include:

• Proven experience owning and delivering data strategy within a commercial environment, with strong expertise in data governance, quality management, and UK GDPR compliance.
• Advanced technical capability across Salesforce CRM and Power BI, with experience integrating CRM, marketing, ecommerce, and analytics platforms to deliver accurate, automated and commercially meaningful reporting. (SQL is also desirable)
• Commercially astute and stakeholder-focused, able to translate complex data into clear, actionable insight that influences senior decision-making – ideally within a subscription, publishing, or information-led business.

A leading UK Property Tech business connecting consumers and industry professionals through innovative digital platforms. Backed by strong investment, they are shaping a more connected and transparent property market.

You’ll play a key leadership role within Analytics, supporting the Head of Analytics while overseeing the delivery of high-impact insight and analytics solutions across financial services and property data.

Working closely with key customers, commercial teams, and product stakeholders, you’ll translate complex challenges into actionable insights, help drive innovation, and identify new opportunities to deliver value through data.

Key attributes of the suitable Analytics Manager include:

• Some experience in management consulting and/or financial services analytics or decision science
• Strong technical skills across Excel and SQL (Python ideal), with proven analytical problem-solving
• Confident in client engagement, data storytelling, and presenting insights clearly
• Demonstrated team leadership experience, managing and developing analysts
• Ideally, exposure to property, mortgages, or housing market data (preferably)

This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI-powered decision intelligence.

Their digital AI agents provide always-on, intelligent insights — supporting leading clients across financial services, retail, FMCG, pharma, and beyond to enhance performance and efficiency.

As Lead Data Scientist, you’ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands-on role combining strong technical depth with delivery leadership and stakeholder management.

You’ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes.

Key attributes of the suitable Lead Data Scientist include:

• Technical Data Science Expertise – Strong background delivering production-grade solutions, ideally within consulting or product-led environments
• Agentic AI & Modern AI Systems Experience – Hands-on exposure to LLMs, RAG pipelines, and agentic frameworks
• Delivery Leadership & Client Ownership – Comfortable leading teams while remaining technically involved and managing client relationships post-sale

With over a decade of industry presence, this brand has grown to hundreds of locations across the UK and supports a community of close to one million members. They’ve built a strong reputation for combining commercial ambition with a genuinely people-first culture, with CRM playing a central role in how members are engaged and retained.

This is a senior role that blends strategic ownership with hands-on leadership. You’ll own the end-to-end CRM strategy across lifecycle, retention, service, and commercial communications, while staying close to execution and delivery.

You’ll lead and develop a high-performing CRM team, take ownership of platform capability and governance, and partner closely with Product, Data, Analytics, and Commercial teams to deliver a joined-up, member-first experience that drives long-term commercial value.

Key attributes of the suitable Head of CRM include:

• Strategic owner who stays close to delivery – You’re comfortable setting the long-term CRM vision, but you also enjoy being hands-on when it matters — guiding execution, unblocking issues, and ensuring high standards across day-to-day delivery.
• Commercially minded CRM leader – You understand how CRM drives revenue, retention and lifetime value, and you’re confident partnering with senior stakeholders to turn customer insight into measurable commercial impact.
• People-first leader with strong operational grip – You know how to build, mentor and motivate high-performing teams, while also owning platform stability, governance and best practice in a fast-paced, consumer-focused environment.

Our client is a fast-growing boutique growth consultancy with a proprietary tech stack that uncovers the real drivers of portfolio company performance. They partner with leading mid-market PE funds and their portfolio businesses across B2B and B2C, and are building a high-calibre team to match their momentum

You’ll lead strategic workstreams across go-to-market, channel, product, and customer strategy. Using SQL, Python, and Tableau, you’ll turn CRM, web, and sales data into actionable insights – then present recommendations that drive results.

Working with clients and project leads, you’ll shape strategy, enhance proprietary tools, and help build lasting business growth.

Key attributes of the suitable Analytics Consultant include:

• 2–4 years’ experience in strategy consulting, commercial analytics, or PE-related roles
• Proficient in SQL and/or Python, with strong skills in data visualisation (Tableau ideal)
• Background in segmentation, marketing analytics, or go-to-market planning
• Thrive in ambiguity and complexity, with a knack for finding the “so what”

We are hiring an experienced market research sales/account manager with a background in online research panels, sample or data collection services.

This role is focused on selling into market research agencies, insight teams and consultancies across markets.

You will join a global, fast-growing research services provider with proprietary panels across the UK and multiple European markets. The business works closely with leading research agencies and brands and continues to scale following recent acquisitions.

This is a true split role combining new business development with hands-on account management.

Account management – 60%

• Manage and grow an existing portfolio of market research clients
• Scope studies, assess feasibility and prepare commercial proposals
• Work closely with project management teams to ensure smooth delivery
• Upsell new panels and research solutions into existing accounts
• Act as a trusted commercial partner to clients

New business development – 40%

• Win new clients buying online research panels and sample
• Sell into market research agencies, media agencies, PR and insight teams
• Own a defined UK sales territory and consistently deliver against targets
• Pitch confidently to new prospects and build a strong commercial pipeline
• Attend and represent the business at UK market research events and conferences
• Stay close to market trends, competitor activity and new research solutions

This role is right for you if

• You have 2–5 years experience in market research sales or data collection sales
• You have sold online panels, sample or multi-country research studies
• You already sell into research agencies, insight teams or consultancies
• You are comfortable owning both new business and existing accounts
• You are target-driven, commercially astute and client-focused
• You want to progress within a growing market research business