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Are you a Product Analyst who loves understanding user behaviour, running experiments, and helping product teams build better digital experiences? I’m hiring for a Product Analyst role at a well‑established consumer platform offering discounts and perks to millions of UK users. The business is scaling internationally and evolving into a more tech‑led organisation, giving you massive data, real ownership, and exposure to strategic product work.

You’ll sit within the central Data function and partner closely with Product Managers to analyse user journeys, run A/B tests, and provide the insights that shape product decisions. This is a hands‑on, impact‑driven role in a modern data environment with huge opportunities to influence the product roadmap.

What you’ll be doing

• Apply quantitative analysis and storytelling to understand how users interact with the platform and what drives behaviour.
• Use data proactively to uncover opportunities, size problems, and generate hypotheses for testing.
• Design, run, and analyse A/B tests and experiments in partnership with product teams.
• Define and track meaningful product metrics; ensure consistent measurement across teams.
• Build and maintain core data products enabling self‑serve insights and faster product decisions.
• Conduct deep dives into user journeys, drop‑off points, behaviour segments, funnel performance, and platform trends.
• Collaborate cross‑functionally with engineers, data teams, product, commercial, and marketing stakeholders.
• Contribute to the Insights Hub and documentation repositories, keeping analytical knowledge up‑to‑date.

What you bring

Must‑haves:

• Strong SQL skills (non‑negotiable).
• Hands‑on experience with product analytics in a tech or consumer‑app environment, ideally companies like Monzo, Deliveroo, Just Eat, marketplaces, or membership/loyalty platforms.
• Experience running and evaluating A/B tests and experimentation frameworks.
• Ability to translate business problems into analytical tasks and communicate clear, actionable insights.
• Strong storytelling ability, turning numbers into narratives

Good to have:

• Experience working with large‑scale customer behaviour datasets.
• Experience in consumer tech, fintech, loyalty platforms, or other high‑traffic digital products.
• Python/R/dbt exposure (not required).

Industry background:
While open, the strongest fits tend to come from tech‑first consumer products where experimentation, app behaviour insights, and funnel optimisation are standard ways of working.

The culture & offer

• A modern, data‑mature environment with over four million UK users and expanding globally.
• A product‑led organisation investing heavily in experimentation and user behaviour analytics.
• Private equity backing driving international expansion and new capabilities.
• FTC with benefits, strong likelihood of multi‑month extension.
• Salary up to £85k depending on experience.
• Offices in London and Leicester – ideally 1-2 days per week but flexible.

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Senior Behavioural Scientist
London (Hybrid, 2 days/week)
£80,000 to £95,000 plus benefits

If you want to apply your behavioural science expertise to large‑scale, high‑impact healthcare challenges, this role gives you the chance to shape a flagship data product from the ground up. You will work with rich behavioural datasets, innovative methodologies and a collaborative, cross‑functional team who value creativity and bold thinking.

The Company

They are a global data and insights organisation dedicated to understanding what drives human behaviour in healthcare. Their teams combine behavioural science, data science, engineering and subject‑matter expertise to help clients make more informed decisions. With a growing presence in London and a strong product‑driven culture, they are investing heavily in behavioural data and research capability. They offer an environment where you can experiment, innovate and help define how healthcare behaviour is measured at scale.

The Role

In this Senior Behavioural Scientist position, you will:
* Bring behavioural expertise into the design and evolution of a key data product.
* Lead end‑to‑end data collection, including survey design and innovative methodologies.
* Identify new behavioural signals and shape how they are captured, structured and used.
* Analyse large US datasets to uncover drivers of healthcare behaviour.
* Partner with data scientists, engineers and product specialists to embed behavioural theory into scalable solutions.
* Contribute to R&D initiatives focused on improving behavioural measurement and client value.

Your Skills and Experience

You will thrive in this role if you have:
* A PhD in a behavioural field with strong academic foundations.
* Expertise working with behavioural data, such as surveys, digital behavioural signals or modelling human behaviour.
* Strong capability in Python or R and confidence working with complex datasets.
* A creative, proactive mindset and the ability to generate new ideas and approaches.
* Experience applying behavioural theory to real‑world insights or data products.
* Evidence of initiative or entrepreneurial thinking beyond core academic work.
* An interest in healthcare behaviour or transferable consumer behaviour experience.

What They Offer
* £80,000 to £95,000 base .
* Flexible hybrid working with London workspace access.
* Opportunities to shape an evolving UK team and contribute to impactful healthcare projects.
* Collaborative culture with a strong focus on learning, innovation and autonomy.

How to Apply
To be considered for this Senior Behavioural Scientist role, please submit your CV.

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Senior Data Scientist, Alternative Pricing

Leicester

You will work on complex pricing and customer selection problems, using modern machine learning and huge, messy datasets to shape how millions of customers are priced and selected.

The Company

They are a well-established UK general insurance provider with a strong focus on car, van, bike and home insurance. Data science and analytics sit at the core of their strategy, supported by significant investment in cloud technology and digital platforms. Their pricing and data science capability is regarded as one of the strongest in the UK insurance market. You will join a profitable, tech enabled organisation with the scale, data and backing to do cutting edge work.

The Team

You will join a specialist Alternative Pricing Product team that sits alongside a core pricing function. It is a small, collaborative team of around six people, where you will provide technical leadership and mentor a graduate data scientist.

The Role

As a Senior Data Scientist, you will:

• Focus on pricing and customer selection for car and van insurance within the Alternative Pricing Product team.
• Build predictive models that identify new ways to set prices and select customers, beyond traditional pricing approaches.
• Work with very large, messy datasets across multiple product lines, leading data exploration, cleaning and feature engineering.
• Deploy models into production using Python, SQL, Azure ML and an internal deployment platform.
• Collaborate with pricing, risk and product stakeholders to test ideas, run experiments and influence pricing strategy.
• Mentor junior team members and contribute to setting technical standards within the team.

Your Skills And Experience
You will bring:

• Strong commercial experience as a Data Scientist or in a similar analytics role working on predictive modelling.
• Hands on experience building and deploying machine learning models using Python and SQL, ideally in a cloud environment such as Azure.
• Practical experience with tree based methods such as XGBoost or CatBoost, and an interest in geospatial or graph based modelling.
• Confidence working with large scale, messy, multi source datasets, including complex data cleansing and feature engineering.
• Experience solving pricing, risk or customer prediction problems and understanding how models drive profit, loss and customer outcomes.

How To Apply

If you are interested in this Senior Data Scientist opportunity in Alternative Pricing, please apply with your CV to be considered for the next stage of the process.

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Senior Data Scientist – Leicester 1 day a week

We are currently supporting a large insurance company on a Senior Data Science role to sit within their pricing team. This role will challenge core pricing functions and create innovative ways to produce new pricing models using larger and more complex data sources to deliver more competitive pricing and better customer accessibility. It’s a small, fast‑paced team (6 people) working on more experimental and forward‑thinking pricing approaches.

Some of the exciting work includes:

• Alternative pricing models
• Footprint modelling / Geospatial modelling
• Residual modelling to identify gaps between predicted vs. actual claim costs
• Working with large, messy insurance datasets across multiple product lines
• Tools & tech: Python, SQL, AzureML, XGBoost
• Opportunity to mentor within the team

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Senior Data Scientist
London or Leicester (hybrid, 1 day per week onsite)
£60,000 to £75,000
This is an opportunity to join a pricing team building innovative models that shape how pricing decisions are made. You will work with complex and novel datasets, develop predictive models, and help advance a modern modelling framework that delivers real commercial impact.

The Company
They are a well-established organisation investing in data science and advanced analytics. The pricing team operates with agility and encourages curiosity, experimentation and rapid learning. With strong leadership backing and a growing modelling roadmap, they are looking to add experienced Senior Data Scientists to support their next phase of development.

The Role
* Develop, refresh and combine pricing and footprint models that support pricing decisions.
* Work with messy, complex datasets including geospatial and alternative data sources.
* Build predictive and residual models across major products, contributing to a wider model chain.
* Review and improve existing early-stage models, progressing them toward production readiness.
* Explore new ways to manage and integrate multiple models within a stack.
* Guide a junior Data Scientist and support their technical development.
* Communicate model outputs clearly to technical and non-technical stakeholders.

Your Skills and Experience
* Strong experience working with large, messy and diverse datasets.
* Hands-on modelling experience using GLMs, XGBoost or similar predictive methods.
* Proficiency in Python and SQL, ideally within a cloud environment such as Azure.
* Experience combining or managing multiple models in a pipeline.
* Clear communication skills with the ability to explain insights effectively.
* A curious mindset and the ability to work at pace.
* Insurance experience is welcome but not essential.

What They Offer
* A salary between £60,000 and £75,000.
* Hybrid working with London or Leicester as a base.
* The chance to build impactful pricing and footprint models.
* Career development through ownership, visibility and coaching opportunities.

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Marketing Technology Executive
London, hybrid
Salary up to £50,000

This is an excellent opportunity to join a growing digital marketing function and play a key role in shaping the technical capabilities that power product discovery, advertising performance, and customer engagement. If you enjoy solving data flow challenges and making sure marketing platforms have the right information at the right time, this role offers plenty of impact.

The Company
They are a major retail organisation operating a large multi‑category marketplace and an advanced digital marketing ecosystem. With significant investment in their Martech stack, they are scaling new capabilities across product, data, and marketing teams. Their environment combines enterprise‑level engineering with fast‑moving commercial objectives, giving you the chance to influence how data feeds and pipelines support customer targeting and campaign performance.

The Role
You will join the Marketing Technology team, supporting the rollout and optimisation of product and stock feed integrations across core marketing platforms. You will work closely with marketing, engineering, and product teams to ensure data is accurate, compliant, and ready to power a range of inbound and outbound channels. Responsibilities include:
* Managing and enhancing product and stock data feeds across multiple platforms.
* Supporting the integration and maintenance of real‑time data pipelines using modern cloud technologies.
* Ensuring the correct product attributes and data points surface in marketing activity and reporting.
* Monitoring and validating feed accuracy to support campaign optimisation and customer targeting.
* Collaborating with marketing teams to ensure feeds align with channel requirements.
* Contributing to testing, optimisation, and improvements across the Martech stack.
* Understanding data architecture and how information flows between systems to support marketplace performance.

Your Skills and Experience
* Strong commercial experience working with product and stock feeds in a digital or marketplace environment.
* Good understanding of ETL processes and how data is transformed, validated, and shared across systems.
* Experience with data pipelines and cloud technologies, ideally Google Cloud Platform.
* Knowledge of real‑time data architectures such as Kafka.
* Familiarity with Martech platforms such as TikTok, Google, Facebook, and Snowflake.
* Ability to work collaboratively with technical and non‑technical stakeholders.
* Comfortable working in a hands‑on, problem‑solving role within a data‑driven marketing environment.
* An understanding of API integrations and data flow management is beneficial.

HOW TO APPLY:

Apply by sending your CV to Joe by the link below

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PRODUCT DATA ANALYST / SCIENTIST

UP TO £85,000

HYBRID – LONDON 2x PER WEEK + 1x MONTHLY TEAM TRAVEL

*Please note, you must be a UK resident and citizen to apply*

THE COMPANY

Backed by private equity, this fast-growing consumer technology business is on a mission to become more product-focused and deliver greater personalisation for its users. With strong leadership and exciting growth plans, they’re now looking for a senior-level Product Data Analyst/Scientist to help shape product strategy and deliver actionable insights.

THE ROLE

As a Product Data Analyst/Scientist, you will:

• Own and drive product analytics, focusing on user behaviour and personalisation.
• Deliver insights that directly influence product strategy and experimentation.
• Build and maintain dashboards to track product performance and user engagement.
• Partner with stakeholders across product and analytics to communicate insights effectively.
• Support the business in becoming more data-driven, shaping commercial and product decisions.

YOUR SKILLS AND EXPERIENCE

• Experience in product analytics, within B2C consumer tech businesses
• Strong SQL skills essential.
• Proficiency with data visualisation tools (Looker preferred, open to others).
• Experience with Python desirable.
• Product analytics expertise: experimentation, dashboarding, and driving product strategy.
• Excellent communication and stakeholder management skills.
• Experience influencing product roadmaps and delivering commercial impact.

BENEFITS

• Opportunity to influence product strategy in a PE-backed, high-growth business.
• Work closely with senior leadership, including the Director of Analytics.
• Competitive salary plus benefits.

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PRODUCT DATA ANALYST
Up to £55,000 + benefits
LONDON – HYBRID (2 DAYS A WEEK IN OFFICE)

Please note: you must be a UK resident with full right to work

ABOUT THE BUSINESS
This is a large, global media organisation operating across North America, Europe, and the Middle East, with a strong presence in London. The business combines proprietary technology with large-scale media and publishing operations, reaching millions of users every month across multiple platforms.

The organisation operates across two core areas:

• Technology, providing the infrastructure required to run high-traffic content platforms, including content management systems and advertising technology.
• Media & Publishing, which focuses on producing and monetising premium sports and fan-focused content across a portfolio of major digital brands.

This role sits firmly within the Media & Publishing arm, supporting high-traffic websites and content networks monetised primarily through advertising, sponsorship, and emerging subscription models. As the business continues to explore registration walls, premium content, and audience monetisation strategies, analytics plays a central role in shaping commercial and product decisions.

THE TEAM
You’ll join a close-knit analytics and data team of around 10 people working across publishing, audience, and technology initiatives.

The team includes analysts, data engineering, and data science, working closely with product, editorial, and commercial stakeholders. The environment is fast-paced, collaborative, and still evolving, offering scope to influence how analytics is embedded across the publishing organisation.

THE ROLE
This Product Data Analyst role is focused on understanding audience behaviour, engagement, and monetisation across large-scale media platforms.

You’ll play a key role in shaping how users interact with content – from registration walls and recirculation strategies to experimentation, forecasting, and evaluating new initiatives such as AI-driven content enhancements.

The role combines hands-on analysis with stakeholder management, requiring someone who can confidently challenge assumptions, manage expectations, and translate data into clear commercial recommendations.

KEY RESPONSIBILITIES
Audience & Engagement Analytics

• Analyse and optimise registration walls, including their impact on revenue, engagement, and audience understanding
• Develop approaches to capturing user interests and preferences to improve relevance and personalisation
• Own recirculation analysis, understanding how users move through content once on site

Experimentation & Optimisation

• Design and analyse A/B tests across navigation, banners, “what to read next”, and internal linking
• Evaluate what drives deeper engagement, longer dwell time, and repeat visits
• Partner with product and editorial teams to embed learnings into site strategy

Commercial & Strategic Analytics

• Support advertising and monetisation decisions through audience and behavioural insights
• Contribute to forecasting website traffic and audience growth
• Evaluate the impact of new initiatives, including AI-driven features such as content summarisation

Cross-Business Support

• Work flexibly across different areas of the publishing organisation as priorities evolve
• Communicate insights clearly to stakeholders with varying levels of data literacy
• Push back where necessary, managing expectations and advocating for data-led decision making

TECH STACK

• Cloud-based data warehouse (GCP)
• SQL – strong, hands-on capability required
• Google Analytics for tagging and behavioural analysis
• Python (nice to have, not essential)

SKILLS & EXPERIENCE REQUIRED
Essential

• Strong experience working with large-scale datasets
• Advanced SQL skills, including writing complex queries
• Experience analysing digital audience behaviour and engagement
• Confidence working in fast-moving environments with evolving priorities
• Strong stakeholder management skills, with the ability to challenge and influence

Nice to Have

• Background in media, publishing, or agency environments
• Experience with experimentation and A/B testing
• Exposure to forecasting or advanced analytical techniques
• Experience using Python for analysis

WHY APPLY?

• Join a global media organisation with massive audience reach
• Work on high-traffic, well-known publishing platforms
• Play a central role in shaping audience and monetisation strategy
• Enjoy flexible working with genuine autonomy
• Be part of a collaborative, growing analytics function with room to influence

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Product Owner
London, hybrid – 3x a week in office
Up to £140,000

This is a high impact opportunity to own and optimise a complex acquisition and conversion funnel within a fast-growing consumer technology environment. You will shape strategy, influence product direction, and drive measurable improvements across the end to end customer journey.

The Company
They are a private equity backed, digital first consumer lender operating in the automotive space. The organisation is in a strong growth phase with a rapidly scaling team and a modern, technology-driven product environment. They combine in house capital, a large, approved partner network, and a mobile first customer experience to create a streamlined route to vehicle finance. Their focus is on product excellence, data driven decision making, and continuous optimisation across the customer lifecycle.

The Role
* Own the strategy for a multistage acquisition and conversion funnel, aligned to clear performance metrics.
* Become the internal expert on user behaviour across awareness, signup, eligibility, approval, car search, purchase intent, conversion, and retention.
* Identify drop off points, diagnose underlying issues, and drive prioritisation of high leverage initiatives.
* Partner with engineering to refine flows, improve forms, instrument key events, and enable experimentation.
* Embed data science inputs including scoring, segmentation, and predictive modelling into the customer journey.
* Lead structured hypothesis development, experimentation, and validation.
* Communicate insights clearly across the organisation and influence leadership decisions.
* Work with designers and cross functional partners to deliver improvements that accelerate users from approval to completed purchase.

Your Skills and Experience
* Strong commercial experience as a Product Owner, owning and improving complex, multi-step funnels.
* Proven ability to run structured experimentation programmes and drive conversion uplift.
* Strong analytical capability, comfortable working with performance data.
* Ability to collaborate with engineering, design, data science, and operational teams.
* Skilled in diagnosing behavioural friction and designing user centric solutions.
* Experience in consumer technology is beneficial.
* SQL experience is a plus.

What They Offer
* Generous holiday allowance and flexible working options.
* Clear impact, strong visibility, and ownership of a core commercial engine.
* The opportunity to shape a critical product area within a high growth environment.

How to Apply
If this Product Owner role sounds like the right next step for you, please apply to start the conversation.

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Marketing Technology Executive
London, hybrid – 1x a week
Up to £50,000

This is an exciting opportunity to join a growing digital marketing function at a pivotal moment in their marketplace expansion. You will play a key role in shaping technical marketing capabilities, building data pipelines, and ensuring product and stock feeds power accurate, impactful customer targeting across major digital channels.

The Company
They are a well‑established consumer brand undergoing significant investment in digital transformation. With a strong focus on marketplace growth, they are building out modern data and marketing capabilities to support best‑in‑class customer experience. You will join a collaborative digital marketing and data environment where technical innovation is encouraged, and outcome‑based working is the norm.

The Role
You will work within the Marketing Technology team and be responsible for developing and maintaining the product and stock feeds that underpin marketing performance. Your work will ensure accurate data delivery across platforms and empower marketing teams to execute effective, data‑driven activity. Key responsibilities include:

* Supporting the integration of product and stock feeds across multiple platforms.
* Developing, maintaining, and validating data pipelines to ensure accurate, real‑time data flow.
* Ensuring product attributes surface correctly across digital marketing channels.
* Managing integrations with marketing platforms and ensuring data consistency.
* Supporting optimisation and testing frameworks, including feed‑level A/B tests.
* Understanding how data flows through architecture and helping shape technical solutions.
* Working with engineering teams on ETL processes and pipeline health.
* Using tools such as Intelligent Reach, GCP, and Snowflake to support accurate data transformation.
* Collaborating closely with digital marketing teams to ensure campaigns target the right customers.

Your Skills and Experience
* Strong experience working with product and stock feeds in a digital or ecommerce environment.
* Strong understanding of ETL processes, data pipelines, and real‑time data architecture.
* Experience working with GCP or similar cloud environments.
* Hands‑on exposure to marketing technology platforms such as TikTok, Meta, Google, and Snowflake.
* Familiarity with APIs and how they are deployed and managed.
* Experience using or supporting platforms such as Intelligent Reach or similar feed‑management tools.
* Comfortable working on technical integrations and collaborating with engineers and marketers.
* Experience with analytics testing frameworks such as A/B testing.

What They Offer
* Hybrid work environment with flexibility and outcome‑based working.
* Career growth within a marketing technology and data governance function.
* Opportunities to work with modern MarTech tools and support major digital transformation initiatives.

How to Apply
If this Marketing Technology Executive role sounds like the right next step for you, please apply today to start the conversation.

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Lead Data Analyst
London, Hybrid (1-2x per week)
Up to £65,000

This is an exciting opportunity to join a high‑growth organisation where data science directly shapes performance marketing strategy. You will lead a growing data science function, drive long‑term analytical programmes, and play a key role in delivering meaningful commercial impact for well‑known consumer brands.

The Company
They are a specialist performance marketing and technology business known for combining deep analytical expertise with innovative data products. With a rapidly expanding team and a strong track record of industry recognition, they partner with major consumer brands to solve complex measurement, forecasting, and modelling challenges. Their culture is collaborative, modern, and driven by delivering high‑quality work that genuinely moves the needle for clients. As they scale, they are investing heavily in data science, experimentation, and advanced analytics.

The Role
As Lead Data Analyst, you will oversee a team of data scientists and work closely with senior stakeholders across analytics, data engineering, and technology. You will:
* Lead experimentation and measurement initiatives including incrementality testing, geo‑based studies, brand lift approaches, and causal inference.
* Own advanced modelling projects such as MMM, LTV modelling, propensity scoring, and predictive forecasting.
* Deploy models into cloud environments and integrate into advertising platforms including Google and Meta.
* Guide long‑term analytical roadmaps and ensure projects drive measurable commercial impact.
* Partner with high‑profile clients, often with direct access to raw data, applying rigorous analytical thinking to real‑world marketing challenges.
* Mentor and support a growing team of data scientists as they expand through the year.

Your Skills and Experience
You will bring:
* Strong commercial experience with SQL.
* Deep knowledge of experimentation methodologies such as incrementality, causal inference, geo testing, or brand lift studies.
* Hands‑on experience with MMM, LTV modelling, and propensity modelling.
* Ability to deploy and maintain models in cloud environments and integrate with marketing platforms.
* Experience delivering impactful, long‑term analytics or data science projects.
* Management or mentoring experience is desirable, but they are also open to strong individual contributors ready to step up.
* Exposure to attribution modelling is a bonus.

What They Offer
* Salary up to £65,000.
* Hybrid working with one day per week in their London office.
* The opportunity to lead a growing data science function with genuine ownership and influence.
* Work with large‑scale datasets from major consumer brands.
* A culture that invests in innovation, long‑term thinking, and high‑impact analytics.

How to Apply
If you are ready to take the next step in your data science career, apply today to find out more.

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