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PRODUCT DATA SCIENTIST
Up to £85,000 | London or Leicestershire | Hybrid (2 days/week in office)

THE COMPANY

discount platform serving 4M+ members across the UK with access to 15,000+ partner discounts. £72M revenue, £375M member savings, expanding globally.

250+ employees with leadership from top consumer tech companies (Depop, Skyscanner, Monzo, Just Eat). Mission-driven culture rewarding key workers. Data-driven decision making at the core.

THE ROLE

Join the Data team as a Product Data Scientist working with Product and Business stakeholders to drive strategy through insight. Similar to Monzo’s Product Data Science model – embedded within product teams, solving problems, informing decisions, guiding strategy.

Reports to Director of Data, works alongside Product Data Analyst, Analytics Engineers, and Data Scientists.

What you’ll do:

• Use quantitative analysis and data storytelling to uncover user behaviour and inform product strategy
• Design and support experiments, generate hypotheses, foster continuous learning
• Define and align key metrics with stakeholders, ensure data accuracy across teams
• Build self-serve dashboards and data tools for quick access to core insights
• Conduct deep-dive analyses supporting strategic initiatives with clear recommendations
• Maintain central Insights Hub with documented reports and metric definitions
• Collaborate cross-functionally to close data gaps and foster strong relationships
• Champion unified data approach and stay current on analytics best practices
• Own problem spaces end-to-end, not just analysis – deliver outcomes

Greenfield opportunity with full ownership, autonomy to identify right questions, design experiments, and drive revenue-impacting decisions.

TECH STACK

Database: SQL (essential – must be strong)
Transformation: dbt (comfortable using, not expert-level required)
Languages: Python (for exploratory analysis, notebooks)
BI Tools: Lightdash / Looker
Version Control: Git
Analytics: GA, product analytics tools, web tracking
Some exposure to basic ML elements (exploratory modelling)

WHAT YOU NEED

• Essential:
• Extensive experience working with data in an analytical fashion in a digitally native tech environment
• Consumer tech or product experience is a must – worked with product teams and business stakeholders
• Strong SQL skills – work independently creating complex queries
• Hands-on Python (or R) experience for exploratory analysis
• Experience with dbt, Lightdash, Looker, or Tableau
• Product analytics background – experimentation, A/B testing, user behaviour analysis
• Statistical rigor – appropriately skeptical, understand how to design experiments that isolate real effects
• Strong data storytelling and presentation skills – ability to present convincing, data-led arguments to stakeholders at all levels
• Ability to translate business problems into analytical tasks and communicate insights effectively
• Product-minded approach – care about the “why” behind analyses, can push back constructively
• Self-starter with strong curiosity to understand user behaviour
• Detail-oriented problem solver who can balance rigor with speed
• Team player who is both highly collaborative and individually capable
• Ability to manage your own development and identify opportunities for improvement
• Can deliver and execute, not just analyze – pragmatic problem-solver

Nice to have:

• Experience in membership, subscription, or marketplace businesses
• Exposure to fintech or consumer tech scale-ups
• Background in companies like Monzo, Revolut, Deliveroo, Gousto, or similar product-led consumer tech
• Familiarity with modern data stack tools
• Understanding of affiliate networks or commission tracking

WHAT’S ON OFFER

• Salary: Up to £85,000
• Location: London (Holborn) or Leicestershire – hybrid 2 days/week. London-based: travel to Leicestershire once/month
• Impact: Greenfield opportunity – shape data function, build from ground up
• Strategic: Drive strategy and product decisions, not just reporting
• Mission-Driven: Tech for good – support key workers
• Holiday: 25 days + birthday off + buy/sell scheme (up to 5 days)
• Bonus: Company bonus scheme
• Health: BUPA medical insurance (covers pre-existing conditions) + healthcare cashback
• Benefits: Membership with 15,000+ discounts, pension, enhanced parental leave, EAP
• Perks: Free parking & EV charging at HQ, onsite gym, modern offices, social events, strong L&D culture

INTERVIEW PROCESS

1. 45 minute Teams with Director of Data – work experience, current situation, more about the role
2. 1 hour Teams with Director of Data + Data Team member – case study presented during interview (two prompts on experimentation, product thinking, structured problem solving)
3. 1 hour in-person meeting with 10 minute presentation on past experience
4. Potential short Teams with CPO (TBC)

Timeline: 3-4 weeks

HOW TO APPLY

Send your CV to Mohammed Buhariwala at Harnham.

Keywords: Product Data Scientist, Product Analyst, Product Analytics, Data Scientist, SQL, Python, dbt, Looker, Experimentation, A/B Testing, Consumer Tech, Fintech, SaaS, London, Hybrid

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DATA ANALYST – MARKETING ANALYTICS
Up to £45,000 | Liverpool City Centre | Hybrid (2 days/week in office – Monday & Tuesday)

THE COMPANY

Data-driven marketing agency working with clients to connect consumers with the right products. The company collects rich data across the entire consumer journey – from initial ad exposure through website browsing behavior to final conversion actions – and uses data analysis to drive every business decision. Small, focused data team investing in modern data infrastructure and analytics capabilities.

THE ROLE

Join a data team of 4 professionals (2 Data Scientists, 1 Data Engineer, and yourself as the Data Analyst) working collaboratively to transform raw marketing data into actionable insights that directly drive revenue and business strategy.

Your work will answer strategic questions like: Why do certain customer segments convert better than others? How can we optimize underperforming marketing channels? Which campaigns drive the highest quality leads? How do consumers interact with content across different touchpoints?

What you’ll do:

• Analyze marketing campaign performance across multiple channels
• Build web traffic and user behavior analysis to understand content engagement
• Design and analyze A/B tests to optimize conversion rates
• Conduct channel analysis to identify best-performing marketing channels
• Build Power BI reports and dashboards that deliver continuous insight to stakeholders
• Work with SQL daily to extract, transform, and model data
• Create semantic models in BI tools to power strategic reporting
• Collaborate with Data Scientists and Engineers to ensure data infrastructure serves business needs
• Translate business questions into analytical frameworks
• Take full ownership of getting analysis into production

This isn’t a dashboard factory role – you’ll have autonomy to identify the right questions, design rigorous experiments, and see your insights translate into real business decisions.

TECH STACK

Database: Snowflake
BI Tool: Power BI (primary)
Transformation: dbt
Orchestration: Airflow
Languages: SQL (essential)

As you evolve in the role, you’ll have opportunity to suggest new tools to increase productivity and results.

WHAT YOU NEED

Essential:

• 2-4 years working with data end-to-end (ideally 3-4 years)
• Strong SQL skills – work independently creating queries to power semantic models
• Hands-on Power BI (or Tableau/Looker) experience creating visuals and reports
• Marketing or customer analytics background – analyzing campaign performance, web traffic, customer behavior
• Statistical rigor – appropriately skeptical of patterns, understand how to design experiments that isolate real effects
• Product-minded approach – care about the “why” behind analyses
• Clear communication skills – explain complex concepts to non-technical stakeholders
• Ability to balance rigor with speed – know when analysis is good enough to solve the problem
• Must be located within 1-hour commute of Liverpool city centre (non-negotiable due to regular in-office collaboration)

Nice to have:
Degree in a scientific discipline (Biology, Physics, Statistics, Computer Science, etc.)
Experience analyzing and optimizing marketing campaign performance
Retail, ecommerce, or digital agency background
Familiarity with dbt, Snowflake, or modern data stack tools
Experience with A/B testing and experimentation
Channel analysis and attribution modeling experience

WHAT’S ON OFFER

• Salary: Up to £45,000
• Location: Liverpool city centre (Moorfields) – stylish office overlooking Liver Building and docks
• Working Pattern: Hybrid – 2 days per week in office (Monday & Tuesday)
• Team: Small focused data team of 4 (2 Data Scientists, 1 Data Engineer, 1 Data Analyst)
• Impact: High-impact analysis that directly drives revenue, not endless reporting tickets
• Autonomy: Identify the right questions, design experiments, see your insights drive real business decisions
• Holiday: 22 days + bank holidays (increasing by 1 day per year to 25 days)
• Health: Private health insurance (Vitality, after probation)
• Pension: Company pension scheme
• Perks: Charity sports events, modern city centre workspace

INTERVIEW PROCESS

1. Initial screening with hiring manager (60 minutes)
2. Technical discussion – SQL and analytical approach
3. Final interview with data team

Timeline: 2-3 weeks

HOW TO APPLY

Send your CV to Mohammed Buhariwala at Harnham.

Keywords: Data Analyst, Marketing Analyst, Marketing Analytics, SQL, Power BI, Campaign Analysis, Web Analytics, Channel Analysis, A/B Testing, Customer Analytics, Liverpool, Hybrid, Snowflake, dbt

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Research Manager, Analytics (4 days in office, Fridays WFH)
Up to £60,000, London
Series A-B B2B Research Tech Startup (~50 people)

We’re partnered with a fast-growing research technology startup using AI to transform how organisations understand people. The business combines advanced analytics with modern research methods to deliver deeper insights, faster and at significantly lower cost than traditional research approaches.

As the company launches a new AI-driven product, they’re hiring a Research Manager to take ownership of analytics and modelling across client research projects.

The Role

This is a hands-on role focused on pushing the boundaries of quantitative analytics within research. You’ll lead complex modelling work, set best practice for analytics, and independently deliver end-to-end research projects.

Key Responsibilities

• Own analytics workstreams across major research projects

• Deliver advanced analysis including segmentation, factor reduction and regression modelling

• Set standards and best practice for analytics and segmentation

• Automate repeat analytical tasks for trackers and long-running projects

• Run end-to-end research projects (primarily quant; some qual/mixed methods)

• Contribute to proposals and RFPs

About You

Essential

• 3+ years’ experience in analytics and/or research using survey data

• Hands-on experience with regression, factor analysis and segmentation techniques

• Strong data wrangling, cleaning and weighting skills

• Proficiency in R or Python for analysis and visualisation

• Curious, exploratory approach to finding insight in data

Nice to have

• Experience with Bayesian as well as frequentist methods

• Understanding of the full market research project lifecycle

Interview Process

• Screening questions

• Talent interview

• Hiring Manager interview

• In-person task (with opportunity to meet Founder & C-suite)

Find out more and apply via the link below.

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Digital Product Insights Lead – Up to £80,000 + bonuses

Hybrid (3 days office-based – South East England / London area)
Full private medical | Modern data stack | AI-driven transformation

Are you an experienced insights leader who thrives at the intersection of digital analytics, data science, and commercial strategy?

Our client – a leading UK brand undergoing a major AI and digital transformation – is seeking a Digital Product Insights Lead to drive data-led decision-making across its digital channels, products, and customer journeys.

The Role

As the Digital Product Insights Lead, you’ll head up a small, talented team of analysts to deliver predictive and prescriptive insights that directly shape business strategy.
You’ll focus on understanding user behaviour across web and app journeys, optimising funnels, forecasting sales, and identifying retention opportunities through data.

This is a leadership role that combines strategic direction with enough hands-on capability to guide your team technically and commercially.

What You’ll Be Doing

• Lead insight generation across digital products, channels, and journeys.

• Deliver actionable, predictive insights to influence key business decisions.

• Oversee funnel and conversion analysis, forecasting, and behavioural segmentation.

• Analyse mobile app usage and retention, driving engagement and lifetime value.

• Partner with Data Science and Engineering teams to ensure data quality and readiness.

• Coach and mentor a team of analysts, fostering curiosity and innovation.

• Act as the bridge between data and business stakeholders, translating analytics into commercial outcomes.

Tech Environment

• Tools: SQL, GA4, BigQuery

• Languages: Python, R

• Environment: Modern data infrastructure with dedicated tagging and engineering support.

• No tagging work required – focus purely on insights and impact.

About You

• 5+ years’ experience in analytics, insights, or data science roles.

• Strong background in digital analytics, predictive modelling, or behavioural insights.

• Proven ability to translate data outputs into business actions.

• Experienced people leader with a track record of motivating high-performing teams.

• Energetic, proactive communicator who can engage technical and non-technical audiences alike.

• Passionate about leveraging AI and data to transform digital experiences.

Why Apply?

• Be at the forefront of an organisation investing heavily in AI and data innovation.

• Work within a modern analytics function with strong leadership and vision.

• Enjoy a financially secure, growing business with significant data investment.

• Play a pivotal role in shaping the next phase of digital and AI-driven insights.

Timeline: Interviews underway – target hire by end of January.

Package: £80,000 + up to 20% bonus + car allowance + full private medical.

If you’re ready to lead a team that turns digital data into real commercial impact, apply today!

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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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Analytics Manager

London (Hybrid – 2 days in office, Tuesdays required)
Up to £90,000 base salary

An established data and analytics provider within the FS and property sector is looking for an Analytics Manager to lead and deliver high-impact client-facing projects. Sitting at the intersection of data, product, and commercial teams, this role offers the opportunity to influence strategic decision-making across some of the UK’s most prominent banks and mortgage lenders.

You’ll manage a small team of analysts while staying close to delivery – combining technical expertise with business insight to shape how financial institutions use housing market data to drive smarter lending decisions.

Key Responsibilities

• Team Leadership: Mentor and support 2-3 analysts; oversee workload and ensure high-quality output

• Client-Facing Analytics: Present insights directly to clients, translating complex data into strategic value

• Cross-Functional Collaboration: Work with product, commercial, and presales teams to develop tailored solutions

• Strategic Thinking: Stay ahead of market trends and customer challenges to guide analytics direction

• Project Delivery: Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines

• Innovation Support: Help evolve the product set through insight-led thinking across financial services use cases

What We’re Looking For

• 5-7 years’ experience in analytics, ideally within financial services, credit risk, mortgages, or related sectors

• Proven experience mentoring or managing analysts (or strong readiness to step into a team lead role)

• Strong technical toolkit: SQL, Python, and Excel proficiency

• Skilled communicator – confident presenting to both technical and non-technical audiences

• Experience working with or alongside banks, lenders, or credit decisioning teams

• Highly numerate, creative problem solver with strong business acumen

Nice to Have

• Exposure to property, housing, or mortgage markets

• Experience in a fast-paced, collaborative environment

• Interest in combining product thinking with data analytics

• Ability to manage multiple projects and stakeholders

• Strong presentation skills and a curious, solutions-driven mindset

Why Apply?

• Strategic, visible role with direct impact on how financial clients use data

• Competitive salary up to £90,000

• Hybrid working – 2 days/week in the London office (Tuesdays required)

• Work within a high-calibre analytics team under supportive leadership

• Be part of a mission to simplify and modernise property data in financial decisioning

Interview Process

1. Initial interview (30-45 mins) – with Analytics Leadership

2. Task stage – demonstrate analytical thinking and communication

3. Final round – culture fit and stakeholder interaction
   One stage may take place in person at the London office (London Bridge), where possible

Ready to shape the future of data in property and financial services? Apply now to join a high-performing team that blends deep analytics with real-world impact.

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Senior Account Manager (x2)

CRM / Data-Led Marketing Agency
Bristol (Hybrid – 3 days in office)
£34,000 – £42,000

We’re partnering with a well-established CRM and data-led marketing agency with around 30 years’ experience delivering work for major UK consumer and financial services brands. Following a recent international acquisition, the agency is continuing to grow and is now hiring two Senior Account Managers to support key client accounts from its Bristol office.

Both roles sit within the same client services team, reporting into Senior Account Directors. The core responsibilities are consistent across both positions, with variation depending on the client portfolio.

The Role

As a Senior Account Manager, you’ll be a day-to-day client contact, working closely with Account Directors to deliver against briefs, manage stakeholders, and keep work moving at pace.

You’ll sit at the heart of delivery – coordinating teams across strategy, creative, and development – while also contributing strategic thinking and identifying opportunities to grow the account.

There are two openings:

Role 1 – Large Consumer Brand (New Account Win)

• Supporting a Senior Account Director on a recently won, high-profile account

• Strong delivery focus due to limited project management support

• Managing a broad range of client stakeholders

• Exposure to creative, development and strategic work (less campaign-heavy)

• Opportunity to grow with the account as it scales

Role 2 – Financial Services Brand

• Supporting an Account Director across a well-established FS account

• More strategy-led, with a strong focus on CRM execution across email and DM

• Acting as the consistent day-to-day presence for the client

• Working closely with internal execution teams to ensure high-quality delivery

Key Responsibilities

• Act as a main point of contact for clients on day-to-day activity

• Support Account Directors in delivering CRM and data-led programmes

• Manage briefs, timelines and internal stakeholders

• Contribute to CRM and customer strategy discussions

• Ensure work is delivered to a high standard and on time

• Build strong, trusted client relationships

• Identify opportunities to add value within existing accounts

About You

• Currently a Senior Account Manager, or a strong Account Manager ready to step up

• Experience in digital, CRM, or data-led marketing (pure CRM experience not essential)

• Exposure to working with large, well-known brands

• Comfortable in a fast-paced agency environment

• Organised, proactive and confident with clients

• Personable and collaborative – someone clients and teams enjoy working with

Location & Package

• Bristol (office is a 5-minute walk from Temple Meads)

• Hybrid working – 3 days per week in the office

• Salary range: £34,000 – £42,000

Interview Process

1. Culture-focused screening interview

2. Competency-based interview with senior leadership

3. Task presentation to panel

Find out more and apply via the link below

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Forward Deployed Data Engineer
Soho, London – Hybrid (4 days onsite per week, flex to 3 later)
£45,000-£75,000 + equity + private medical

A growing B2B SaaS company is hiring a Forward Deployed Data Engineer (2-6 years’ experience) to work directly with enterprise clients, customising and delivering data-driven solutions. The role combines data engineering with light frontend work to help customers integrate and use the product effectively.

The role

You will:

• Customise and implement product solutions for enterprise clients
• Own delivery across multiple engagements
• Work directly with client stakeholders
• Use PySpark, Python and SQL for data engineering tasks
• Develop an understanding of the Strategy OS platform
• Support modelling and transformation work

What we’re looking for

• 2-6 years’ experience
• Proficient in PySpark, Python and SQL
• Client-facing delivery experience
• Able to work in a fast-paced environment
• STEM academics preferred

Nice to have:

• Snowflake, Databricks, dbt, BigQuery
• Palantir Foundry
• Experience in startups or niche data consultancies

Working pattern

• Soho office (WeWork)
• Four days onsite per week on average
• May flex to three days after initial period

Why join

• Client-facing variety and project ownership
• Early-stage environment
• Seed-funded and growing
• Enterprise clients and global sector exposure

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