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.

You’ll be trusted to do what many analytics roles promise but rarely deliver: own the thinking, not just the outputs. This is a role for someone who enjoys curiosity over templates, experimentation over black boxes, and collaboration over working in isolation. You’ll work on genuinely bespoke projects, have the freedom to try new approaches (including AI and unstructured data), and see your analysis directly influence real decisions. 

The client is a strategy, innovation and design consultancy where consultancy is the heartbeat of the business. Data and analytics are central to how they help clients navigate complex challenges and make confident choices. With a small, highly capable analytics team embedded into consulting work, this is an environment where technical excellence, clear communication and practical impact matter more than shiny buzzwords. You’ll also work across two closely linked consultancies, giving you variety and exposure without corporate sprawl.

🔍 Translate business and strategy questions into the right analytical approaches

📈 Design and deliver bespoke analytics using R (Python a bonus)

🧠 Work with survey data – segmentation, tracking, driver analysis, choice-based modelling

🤝 Partner closely with consultants and researchers, shaping projects from start to finish

🗣️ Communicate insights clearly to both technical and non-technical stakeholders

🚀 Contribute to internal innovation, tools and ways of working

Roughly 75% of your time will be client delivery, with the rest spent on development, experimentation and IP.

You’ll have 3–5 years’ experience in analytics or research within a consulting-style environment. You enjoy problem-solving from first principles, not delivering off-the-shelf solutions. You’re confident with R, comfortable with data, and genuinely curious about analytics, data science and AI. Most importantly, you like explaining the “so what” and working closely with others to make insights land.

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

Founded over 50 years ago, they have become one of the most recognisable brands on the planet. Boasting the fact, they own over 150 stores worldwide and a turnover of more than £5bn year after year. They have become one of the biggest names within the luxury retail space.

Leading customer analysis and insights for the e-commerce channel. You will execute customer performance deep-dive analysis to address key business questions and challenges. Producing actionable insights and presenting these findings to key stakeholders across the business

Key attributes of the suitable Customer Insights Analyst include:

• Experience: 1+ years in Customer Insights within Marketing and CRM.
• Technical Skills: Proficiency with tools like SQL, Excel, etc. 
• Communication Skills: Ability to turn complex analysis into actionable insights.

Join a globally recognised luxury retail brand, owning ecommerce customer analytics and delivering insight across digital channels, using SQL. 

This is a chance to sit at the centre of a globally recognised premium fashion and retail business to influence how millions of customers experience the brand across digital and physical touchpoints.
Joining the EMEA Customer Insights team in London, you will own ecommerce customer insight and play a key role in shaping data-led decisions across all direct-to-consumer channels. This is a high-impact role with strong visibility, partnering closely with ecommerce, marketing and media teams to turn data into direction.

• Leading ecommerce customer analysis and insight storytelling
• Using SQL, and multiple data sources to build a clear view of customer performance across DTC
• Acting as the go-to expert for ecommerce customer analytics
• Delivering automated and ad-hoc reporting across ecommerce, retail and outlet
• Translating complex data into concise, actionable recommendations for senior stakeholders

• 1-3 years experience in Customer Insight
• Strong experience in customer insights within marketing or CRM environments
• Confident SQL capability and experience with data visualisation tools such as Tableau
• Experience with DTC or e-commerce channel reporting
• Advanced Excel and PowerPoint skills
• Background in luxury, retail or consumer goods
• Clear communicator with the ability to influence through insight

This role suits someone who enjoys owning their space, working at pace and using customer insight to drive meaningful commercial impact across a global brand.

Unfortunately, this role cannot offer sponsorship at this time.

Health and fitness is about behaviour change — and that makes it a fascinating data challenge.

You’ll work with rich customer, operational, and commercial data to:

• Understand how people join, engage, and stay active
• Optimise pricing, retention, and member experiences
• Build predictive models that genuinely influence business strategy

You’ll sit within a well-established Data & Insight team, working alongside Data Engineers, Analysts, and stakeholders across the organisation.

Data Science & Modelling

• Analyse customer and behavioural data across acquisition, retention, engagement, and pricing
• Build, validate, and optimise predictive models using robust statistical and ML techniques
• Carry out exploratory analysis to uncover patterns, test hypotheses, and quantify business impact
• Communicate insights clearly to both technical and non-technical audiences

ML Engineering & Production

• Deploy ML models into production within a modern cloud-based environment
• Build automated pipelines and CI/CD workflows to support training, testing, and deployment
• Monitor model performance, data drift, and reliability — keeping predictions accurate over time
• Work closely with Data Engineering to ensure high-quality, governed, model-ready data

Applied AI (Optional but encouraged)

• Explore how modern AI tools can enhance member experiences and internal processes
• Prototype AI-driven ideas through proofs of concept and lightweight demos
• Help shape responsible and practical AI adoption across the business

You’ll bring

• Strong Python (and/or PySpark) skills for analysis, modelling, and feature engineering
• Solid SQL experience
• A track record of delivering end-to-end predictive modelling projects
• Experience deploying and monitoring ML models in a cloud environment
• The ability to translate complex technical work into clear, commercial insight

• Exposure to MLOps or modern ML engineering practices
• Experience with AI prototyping or experimentation
• Cloud ecosystem experience (particularly Azure-based platforms)
• Interest in customer behaviour, subscriptions, or consumer products

• The chance to work on data products used by millions of members
• A role where your models move beyond notebooks into production
• Space to experiment, innovate, and explore emerging AI capabilities
• A collaborative, inclusive team culture that values impact over ego