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Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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FRAUD INSIGHT ANALYST

£45,000

SOUTHAMPTON (5 days p/w)

THE COMPANY

This company are a leading UK transport provider who rely on data-driven insight to improve performance, reduce risk, and enhance the passenger experience. With large, complex datasets generated from thousands of daily journeys, they offer a dynamic environment for analysts who want to turn information into impact.

THE ROLE

• Analysing large, complex datasets to identify suspicious activity and fraud trends.
• Producing high-quality intelligence reports and recommending actions.
• Designing deployment plans for frontline teams tackling fraudulent travel.
• Supporting management in regular reporting and strategic investigations.
• Acting as a subject matter expert in fraud analytics and revenue protection.

YOUR SKILLS AND EXPERIENCE

• Experience in fraud analysis, loss prevention, revenue protection, or a similar crime detection role.
• Advanced Excel skills; Power BI or Tableau experience is a big plus.
• The ability to translate complex data into stories that drive action.
• Strong written and verbal communication skills.
• Attention to detail and resilience in fast-paced environments.

SALARY AND BENEFITS

• Up to £45,000 starting salary
• Discretionary bonus
• Pension contribution scheme
• Private medical scheme

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link or email

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Senior Data Analyst – Dating App

Location: London (Hybrid)
Salary: £55,000 – £60,000

We are looking for a Senior Data Analyst to join our fast-growing dating product team. In this role, you’ll drive insights that directly shape product strategy, user experience, and feature development.

Key Responsibilities

• Own analysis of key dating funnel metrics (sign-ups, matches, retention, conversions).

• Build dashboards to track engagement and performance across markets.

• Design and analyse A/B tests to validate new product features.

• Provide clear insights that influence product, marketing, and leadership decisions.

Ideal Candidate

• 8+ years’ experience in data analytics, ideally in consumer apps or online platforms.

• Proficiency in SQL, Python, and BI tools (Tableau, Looker, Power BI).

• Experience working with subscription, engagement, or conversion funnel data.

• Strong communicator, able to present complex findings in simple, actionable ways.

Find out more and apply via the link below.

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Senior Analytics Specialist – Digital Agency – £45-55k – x2 days a week in London

I’m working with a fast-growing digital agency that partners with leading brands across hospitality, travel, food & drink and entertainment. They’re now looking for an experienced Senior Analytics Specialist to join their performance team.

This is a great opportunity for someone who loves diving into data, setting up robust tracking frameworks, and turning insights into clear, actionable recommendations for clients.

The role:

• Lead on analytics setup and management, including GTM containers and GA4

• Implement analytics accounts, dashboards and reporting structures

• Analyse customer behaviour and campaign performance across multiple data sources

• Communicate insights clearly to internal teams and clients

• Line manage a remote analytics specialist and collaborate across departments

The ideal candidate:

• 5+ years’ analytics experience (agency background desirable)

• Hands-on experience with GA4, GTM and related tools

• Strong analytical mindset with excellent communication skills

• Confident presenting data insights to clients and stakeholders

Benefits:

• UK-remote working, with travel to London when required

• 25 days’ holiday + wellbeing budget

• Great agency culture with socials and team events

If you’re a proactive analytics professional looking for your next step in a creative, fast-moving environment, I’d love to hear from you.

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Data Analyst (Digital & Marketing Focus)

London – Hybrid (2 days in office, Tues & Thurs – Elephant & Castle)
Up to £50,000 + Benefits

The Company

Our client is a specialist digital and marketing analytics consultancy, established in 2016 and now recognised as a trusted partner for major asset managers and digital-first businesses. They help clients transform complex data into actionable insights that improve sales performance and optimise marketing ROI.

With a close-knit team of around 10, they combine cutting-edge analytics with strategic expertise. This is a fantastic opportunity to join a growing consultancy where your work will have real visibility and impact.

The Role

They are seeking a mid-level Data Analyst with strong technical skills and commercial awareness. This is a client-facing position where you’ll be responsible not just for the numbers, but for turning data into clear, strategic recommendations.

You’ll work directly with senior stakeholders, gain exposure to high-profile clients, and take on varied projects across digital and marketing analytics.

Responsibilities

• Extract, join, and transform datasets from multiple platforms (SQL, GA, marketing tools).

• Build and maintain dashboards and reports (Looker Studio, Tableau or equivalent).

• Apply statistical methods across attribution, MMM, LTV, churn, propensity and clustering models.

• Present insights and recommendations confidently to clients via Zoom and face-to-face.

• Support client strategy by identifying opportunities to optimise spend and improve ROI.

Candidate Profile

• 2-4 years’ experience in analytics (digital, marketing or consultancy background desirable).

• Strong SQL and Python skills, with a good grounding in statistics.

• Experience with Google Analytics or Adobe Analytics.

• Hands-on dashboarding experience (Looker Studio, Tableau or similar).

• Comfortable working directly with clients and explaining insights to non-technical stakeholders.

• 2:1 degree or above in a STEM or Social Sciences subject (or equivalent experience).

Package & Benefits

• Salary up to £50,000 (depending on experience).

• Hybrid working – 2 days in the office (Tues & Thurs, Elephant & Castle).

• 25 days holiday, state pension, profit share scheme.

• Direct exposure to senior leadership, with clear progression opportunities.

Interview Process

1. Introductory interview with senior team members.

2. Technical assessment (SQL + GA data integration & dashboard creation).

3. Final stage with leadership and chance to meet the wider team.

Find out more and apply via the link below.

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Data Product Manager – AI / ML Platform (Fully Remote, UK)

Salary: £100,000 + benefits
Location: Fully Remote (occasional meet-ups in London)
Type: Permanent | Individual Contributor

We’re partnering with a market-leading AI-driven search intelligence company helping global enterprise brands optimise paid search performance and gain competitive insight through large-scale data and machine learning.

As a Data Product Manager, you’ll take ownership of the company’s data platform and ML ecosystem – shaping how massive-scale datasets (hundreds of millions of data points) power predictive models, data quality, and AI-driven insights.

The Opportunity

You’ll drive the roadmap and vision for a modern data platform underpinning core AI products, collaborating closely with data engineering and data science teams. This is a hands-on product role – ideal for someone who thrives at the intersection of data, ML, and product strategy.

Focus areas:

• Data integrity, scalability, and cost efficiency

• Managing complex data workflows and ML pipelines

• Ensuring model quality and performance

• Partnering cross-functionally across engineering, science, and product

Tech Stack: Spark, Cassandra, Redshift
AI / ML Use Cases: Predictive click models, data quality optimization, GenAI search applications

What You’ll Bring

• 5-10 years’ experience overall, with 3+ years in data engineering or data science

• Proven experience managing large-scale data platforms or pipelines

• Strong understanding of ML workflows and data architecture

• Product mindset – comfortable owning discovery, roadmaps, and delivery

• Excellent communicator – able to present technical concepts clearly to non-technical audiences

• Experience in SaaS, digital, or tech product environments

(Please note: This role is not suited to project managers or senior people managers – it’s a highly collaborative IC role.)

Why Apply?

You’ll join a collaborative, data-focused product team that values ownership, transparency, and smart execution. You’ll have a genuine opportunity to influence the evolution of an AI platform used by leading brands worldwide.

Next Steps:
If you’re a technically credible Product Manager passionate about data and ML – and ready to own a data platform roadmap in a high-impact environment – we’d love to hear from you.

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Lead Marketing Analyst

Location: Fully remote (UK-based)
Salary: Up to £80k + 10% bonus

About the Business

A long-established, consumer-focused digital business backed by private equity. The company is undergoing a significant transformation under new leadership, with a clear three-pillar growth strategy centred around:

1. Expanding and strengthening its core digital products.

2. Enhancing customer experience to drive engagement and loyalty.

3. Building stronger community connections and marketing reach.

The business is in the process of modernising its approach to data and analytics, with major work underway on evolving its subscription model and diversifying revenue streams.

The Role

This is a newly created position within the central Analytics, Data, and Engineering function, designed to add an extra layer of leadership within the marketing analytics space.

You’ll take full ownership of the marketing analytics function, line-managing one Senior Analyst, and act as the go-to expert for marketing insight and reporting. You’ll work closely with senior stakeholders across marketing, commercial, and product to ensure data-driven decision-making, presenting confidently at executive and board level.

What You’ll Be Doing

• Leading a small analytics team delivering insights to guide marketing targeting, spend, and impact.

• Owning full-funnel, cross-platform customer analysis (web analytics, attribution partners, CDPs).

• Improving campaign decision-making through attribution, incrementality, and media mix modelling.

• Partnering with Data Science to build predictive models (LTV, churn).

• Owning and refining marketing forecast models for budget and performance planning.

• Using statistical analysis to optimise testing methodologies and outcomes.

• Developing best practice, transparent reporting, and actionable insights.

• Managing stakeholders across the business to improve marketing decisions.

• Building strong cross-functional relationships to promote a data-driven culture.

• Working with Data Engineering to manage data requirements and ensure quality deliverables.

Candidate Profile

Background

• Ideally from gaming, but open to e-commerce, ad-tech, or subscription/dating apps.

• Must have a strong B2C focus.

Experience

• Proven track record in marketing analytics.

• Comfortable leading and mentoring others.

• Strong stakeholder management and presentation skills.

• Line management experience (desirable but not essential).

Technical Skills

• SQL (essential).

• Power BI / Looker.

• Data visualisation expertise (Snowflake desirable).

• Knowledge of attribution, forecasting, incrementality testing, MMM, LTV/churn modelling (advantageous).

Package & Benefits

• ~£80k base salary + 10% bonus.

• Private healthcare (including dental).

• 6% pension contribution.

• Life insurance + employee assistance programme.

• Enhanced family leave.

• 25 days holiday + bank holidays (buy/sell option).

• Flexible working hours.

Interview Process

1. 1st stage: Zoom interview with senior marketing leadership.

2. 2nd stage: Take-home task + panel presentation.

3. 3rd stage: Final interview with executive team.

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Senior Customer Analyst – Loyalty
Location: London
Salary: Up to £70,000 + discretionary bonus
Benefits: Pension up to 12% (8% employee contribution)

We are looking for a Senior Customer Analyst focused on loyalty and customer engagement to join a leading global online marketplace. This strategic role uses data and analytics to shape loyalty initiatives that drive retention, repeat behaviour, and long-term customer value.

What You’ll Do:

• Analyse customer behaviour across loyalty programmes to identify opportunities for engagement and retention.

• Build and manage the Single Customer View (SCV) to unify customer data and enable personalised experiences.

• Recommend improvements to loyalty propositions, including tiers, rewards, and experience enhancements.

• Partner with marketing, data, and global teams to deliver and measure loyalty initiatives.

• Use advanced analytics and storytelling to influence loyalty strategy and maximise customer lifetime value.

Example Projects:

• Redesign loyalty programmes to increase engagement and repeat purchases.

• Develop SCV integrating purchase, engagement, and loyalty data.

• Model customer value to understand the impact of loyalty participation.

• Benchmark competitor loyalty schemes and propose differentiators.

• Share insights globally to replicate successful loyalty initiatives.

Requirements:

• Advanced SQL and experience with a dashboarding tool (Tableau/Looker).

• Strong understanding of loyalty programmes, CRM strategy, and customer engagement.

• Experience in loyalty analytics in e-commerce, retail, or telco environments.

• Analytical skills to interpret data and strategic mindset to design propositions.

• Confident working cross-functionally and internationally, with excellent stakeholder management.

Desirable:

• Python for statistical analysis.

• Experience designing and running A/B tests.

Application Process:

1. SQL test on Kaggle – 2 live-coding questions, interactive.

2. Skills-based interview – 45 minutes (30 minutes questions, 15 minutes candidate questions).

3. Case study/data analysis presentation – face-to-face in the office.

Find out more and apply via the link below.

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Senior Customer Analyst – CDM
Location: London
Salary: Up to £70,000 + discretionary bonus
Benefits: Pension up to 12% (8% employee contribution)

We are looking for a Senior Customer Analyst to join a leading global online marketplace. This role focuses on understanding, optimising, and growing the customer base through data-driven insights, particularly around loyalty, retention, and acquisition.

What You’ll Do:

• Analyse customer behaviour across the lifecycle using SQL and modern analytics tools.

• Deliver actionable insights through dashboards and storytelling (Tableau/Looker).

• Run and evaluate A/B and multivariate tests to inform marketing and growth strategies.

• Support growth targets by identifying opportunities to move customers through lifecycle stages.

• Collaborate with marketing and senior stakeholders to influence customer strategy.

What We’re Looking For:

• Advanced SQL and experience with a dashboarding tool.

• Proven experience with customer analytics projects: single customer view, segmentation, churn, acquisition, LTV.

• Desirable: Python for stats analysis, experience designing and running A/B tests.

• Experience in e-commerce or tech environments with modern data stacks is a plus.

Find out more and apply via the link below.

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Account Director, Customer Success

£90,000-£100,000 base + strong commission structure (OTE ~25-30%)
London – Hybrid (3 days in office, incl. Mondays)

A high-growth, insight-led technology business is looking for a Account Director, Customer Success to join their expanding commercial team.

Working at the intersection of customer intelligence and AI-driven analytics, the company partners with major enterprise brands to help unlock value from qualitative data – across customer experience, brand insight, and audience research.

This role sits at the heart of client strategy and commercial growth, focused on delivering long-term value while identifying new revenue opportunities through upsells, renewals, and strategic expansion.

What You’ll Be Doing

• Own the commercial success of a portfolio of key enterprise accounts

• Identify and develop upsell, cross-sell and renewal opportunities

• Support client retention by aligning insights with strategic business goals

• Partner with account teams to deliver on client objectives and usage growth

• Lead QBRs and key stakeholder engagements, including economic buyers

• Track and report usage, churn, NPS, and account health metrics internally

What You’ll Bring

• 6-12 years’ experience in Customer Success, Strategic Accounts or Client Services

• Background in SaaS, insights, CX, or agency-side roles preferred

• Strong commercial acumen and ability to identify and nurture sales opportunities

• Confidence engaging with senior client stakeholders and navigating complex orgs

• Experience working across long-term enterprise contracts

• Familiarity with methodologies like SPIN or MEDDICC is a bonus

Why Apply?

• Senior-level role with commercial ownership across global accounts

• Competitive base salary (£90-100k) plus high-earning commission potential (~25-30% bonus)

• Collaborative team culture with strong leadership and a clear growth trajectory

• Hybrid working (3 days in a modern Central London office, incl. Mondays)

• 24 days holiday, pension, cycle-to-work scheme

• Opportunity to work with leading household-name clients across sectors

Interview Process

1. Introductory chat with senior leadership – informal CV walkthrough and fit

2. Second stage with team lead – competency and scenario-based discussion

3. Final stage – Account planning exercise and stakeholder engagement simulation

If you’re a commercially minded operator with a passion for client success and business growth, this is an exciting opportunity to join a high-performing team at a pivotal stage of scale.

Find out more and apply via the link below.

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Senior Commercial Data Analyst
Location: London (Hybrid, 1-2 days per week)
Salary: £42,700-£53,700 + annual bonus

A global media and entertainment business is looking for a Senior Commercial Data Analyst to own analytics within a cross-functional team. This role blends technical capability with commercial thinking, supporting senior stakeholders across multiple regions and business lines.

What You’ll Do:

• Act as the go-to data expert for commercial teams, partnering with finance, sales, marketing and strategy

• Build dashboards and reporting tools (Power BI or similar) and support the rollout of a new BI platform

• Translate complex data into actionable commercial recommendations across pricing, product and market performance

• Connect data from multiple systems (CRM, finance systems, web analytics, etc.) to create a single source of truth

• Analyse deal value, product performance, customer behaviour and digital/content trends

• Support budgeting, forecasting and wider commercial planning

• Build automated reporting and enable self-serve analytics across the business

Example Projects:

• Migrating legacy reports into a modern BI platform and improving reporting structures

• Analysing financial, customer and digital data to inform commercial strategy for new product or venue launches

• Implementing forecasting and predictive analytics within dashboards

• Supporting CRM and commercial system integrations and helping drive adoption across global teams

• Creating reporting frameworks from scratch to track market trends, revenue performance and customer engagement

What You’ll Need:

• 3-5 years’ experience in analytics or commercial insights

• Strong SQL skills; Python experience desirable

• Experience building dashboards in Power BI, Tableau or similar, with end-to-end ownership

• Strong understanding of relational data structures and data modelling

• Confident communicator able to translate data into commercial action for non-technical stakeholders

• Proactive, curious, and comfortable operating as the sole data specialist in a team

Ideal Backgrounds:
Digital, media, retail, FMCG, tech or similar, ideally from smaller or growing data teams.

Interview Process:

1. Initial conversation (CV anonymised)

2. Technical task

3. Task presentation to commercial stakeholders

4. Final interview with senior leadership

Find out more and apply via the link below.

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