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Staff Data Scientist
London, Hybrid
Salary up to £113,000

This is a senior individual contributor role where you will shape how a high growth digital business measures and optimises its marketing investment. You will sit at the intersection of data science, marketing strategy and executive decision making, owning complex measurement problems and turning them into clear, commercial insight.

The Company
They are a fast growing, mobile first digital marketplace with a strong consumer brand and an international user base. Data plays a central role in how they invest, grow and make decisions across the business. The environment is collaborative, product led and focused on building robust, scalable analytics to support long term growth.

The Role

• Lead the measurement strategy for paid marketing, shaping the roadmap across attribution, incrementality, ROI and customer lifetime value
• Develop and productionise advanced analytical models in Python to evaluate marketing effectiveness
• Design and run experiments to understand the impact of targeting, creative and channel mix
• Partner closely with senior marketing leaders and executives, acting as a trusted advisor on data driven strategy
• Build clear reporting and insight using BI tools to support both day to day performance and long term planning
• Collaborate with data, marketing and adtech teams to ensure data quality, tracking and consistent measurement approaches

Your Skills & Experience

• Strong commercial experience in marketing analytics within a digital or mobile first environment
• Proven capability in attribution modelling, incrementality testing and customer lifetime value modelling
• Advanced Python skills with experience productionising models using modern data tooling
• Strong SQL capability and confidence working with large, complex datasets
• Deep understanding of paid media channels such as search, social and video, and the data they generate
• Experience working with mobile measurement platforms and navigating privacy related data challenges
• Ability to communicate complex analysis clearly to both technical and non technical stakeholders

How to Apply
If you are looking for a Staff Data Scientist role where you can drive real impact across marketing and business strategy, apply now to find out more.

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Commercial Analyst (Marketing)

London

65-85k

This is a high impact commercial analytics role where you will shape how marketing performance is measured across multiple international markets. You will work closely with senior marketing and commercial stakeholders, owning insight delivery and helping move the organisation from fragmented reporting to clear, standardised decision making.

Who we are:
We are a fast-growing global healthcare and technology business operating in a regulated environment with a strong recurring revenue model. We are investing heavily in data, insight, and analytics to support continued international growth. With expanding presence across Europe and other high growth regions, we place real value on commercial insight that connects marketing activity to long term outcomes.

The Role.

A senior individual contributor role focused on owning marketing and commercial analytics, building dashboards and KPIs, and translating campaign performance data into clear insights that influence sales, access, and growth decisions across international markets.

• Owning and developing marketing dashboards and core KPIs across campaigns, channels, and markets
• Partnering with regional and country marketing teams to assess campaign effectiveness, ROI, and channel performance
• Translating complex performance data into clear commercial insights that influence decision making
• Linking marketing activity to downstream outcomes such as sales performance, adoption, and access
• Supporting attribution and marketing mix style analysis to understand impact of spend and activity
• Delivering clear, actionable insight to senior marketing and commercial stakeholders

Your Skills and Experience

• Strong background in commercial or marketing analytics within a complex organisation – with multiple marketing channels
• Proven capability in campaign effectiveness, ROI, and attribution analysis
• SQL skills with experience using Tableau and or Power BI
• Hands on experience building and owning dashboards and performance reporting
• Confidence working with evolving or imperfect data foundations
• Experience in regulated environments such as healthcare, medtech, or pharma is beneficial
• Ability to communicate insight clearly to non-technical stakeholders

What We Offer

• Competitive salary with strong bonus potential
• High exposure to senior commercial and marketing leaders
• Clear opportunity to shape international marketing measurement and analytics standards
• Hybrid working with limited office attendance
• Strong progression opportunities into senior and director level commercial analytics roles

How to Apply
If you are a commercially minded analytics professional looking to make a visible impact in a growing international business, apply now.

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Senior Data Analyst
West London (4 days per week)
£80,000 plus 10 percent bonus
This is a standout opportunity for a senior analytics professional who enjoys operating at the intersection of data, marketing, and client impact. You will play a key role in shaping how effectiveness and measurement are understood across complex marketing programmes, while remaining hands on with analysis and client problem solving.
The Company
They are a data driven marketing and technology business working with some of the UK’s best known consumer brands. Their focus is on using rich customer data to help organisations better understand audiences, personalise marketing, and measure real commercial impact. Operating within a wider agency group, they collaborate closely with other specialist teams to support sophisticated, evidence led decision making.
The Role
You will sit within a small, senior analytics team and act as a trusted expert for clients and internal stakeholders. This role blends independent delivery with high level advisory work around marketing effectiveness and measurement.
Key responsibilities include:

• Leading analytics work across multiple client accounts, translating business questions into robust analytical approaches
• Analysing campaign performance, audience behaviour, and customer data to identify what worked, what did not, and what to do next
• Acting as a knowledgeable voice on marketing effectiveness and econometrics, confidently discussing MMM methodologies, limitations, and interpretation with clients and partners
• Supporting broader agency conversations on measurement by reviewing third party models, challenging assumptions, and explaining results clearly
• Delivering bespoke customer analytics projects such as VIP identification, segmentation, and trend analysis from large transactional datasets
• Working closely with account, media, and strategy teams to ensure insights are actionable and commercially relevant

Your Skills and Experience
To succeed in this role, you will bring:

• Strong commercial experience in marketing analytics or customer analytics within an agency or client facing environment
• A solid understanding of marketing mix modelling and econometric principles, including how models are built, validated, and interpreted
• High statistical literacy, with knowledge of topics such as experimental design, randomised control trials, and model uncertainty
• Experience using SQL and at least one BI or data visualisation tool to deliver insights
• A consultative communication style, with the ability to explain complex analysis clearly and confidently to non technical audiences

What They Offer

• Salary of £80,000 plus a 10 percent annual bonus
• A senior, visible role with direct exposure to clients and leadership
• The chance to shape how measurement and effectiveness are approached across a wider agency group
• A collaborative analytics team with strong technical credibility
• Office based in White City with a four day per week on site working pattern

How to Apply
If you are looking for a senior analytics role with genuine influence and variety, apply now to learn more about this opportunity.

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Senior Marketing Analyst
London, Hybrid
Salary up to £85,000

This is an opportunity to join a fast-growing, purpose-driven digital business at a pivotal stage of its data and analytics journey. The role offers genuine ownership, visibility, and the chance to influence commercial decision-making across global marketing activity. You will work on meaningful problems at scale, with the freedom to shape how analytics is used across the organisation.

The Company
They are a large, international eCommerce and marketplace business with a strong consumer focus and a clear sustainability mission. Operating across multiple regions, they serve millions of customers through a mix of direct-to-consumer, marketplace, and B2B channels. The organisation has scaled profitably and continues to invest heavily in data, technology, and analytics to support its next phase of growth. Collaboration, curiosity, and impact sit at the heart of how they work.

The Role

• Own and deliver marketing and customer analytics that directly inform commercial strategy.
• Lead end-to-end analytical initiatives, from scoping opportunities to delivering insights and recommendations.
• Build, validate, and maintain robust reporting and metrics used by marketing and senior stakeholders.
• Analyse large, complex datasets to understand performance drivers across acquisition, retention, and customer behaviour.
• Design and evaluate experiments, including A B testing and incrementality analysis.
• Translate complex analysis into clear, actionable insights for both technical and non-technical audiences.
• Collaborate closely with marketing, product, technology, and finance teams.
• Improve efficiency through automation and standardisation of reporting and analysis.
• Contribute to the wider analytics community by raising standards and sharing best practice.

Your Skills & Experience

• Strong commercial experience in marketing and customer analytics within a digital, eCommerce, or marketplace environment.
• Advanced SQL skills with confidence working directly with raw data in a cloud data environment.
• Experience building intuitive dashboards and reports in tools such as Tableau, Power BI, or Looker.
• Capability in Python or R for analysis, modelling, or automation.
• Experience with customer funnel analysis, segmentation, cohort analysis, and lifetime value modelling.
• Knowledge of experimental design, statistical methods, and root cause analysis.
• Ability to work with large datasets and reconcile metrics with finance or commercial teams.
• Strong stakeholder management skills, with the confidence to challenge assumptions and influence decisions.
• Comfortable operating in ambiguous, fast-changing environments.

How to Apply
If you are a Marketing Analyst looking to drive impact through data in a growing digital business, apply now.

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Senior Data Scientist

Manchester (2 days on site)

A high‑growth SaaS scale‑up is hiring a Senior Data Scientist to build their first production AI capabilities. You will work end to end across ideation, prototyping, and deployment, shaping how customers detect fraud, block invalid traffic, and optimise real‑time behavioural analytics.

The Company

They are a rapidly scaling SaaS business specialising in privacy‑compliant, cookieless analytics.

They process billions of data rows weekly to prevent wasteful and fraudulent traffic.

Their platform uniquely combines real‑time behaviour modelling, fraud detection, and optimisation.

The Role

* Deliver full lifecycle AI and ML projects from prototype to production.

* Build applied AI workflows including LLMs, NLP, and RAG‑based solutions.

* Work with large and messy tabular datasets to create high‑impact models.

* Develop classification and optimisation approaches to enhance customer outcomes.

* Partner with Product and Engineering to integrate models into the platform.

* Lead the transition toward a more AI‑driven product ecosystem.

Your Skills and Experience

* Strong commercial experience deploying AI and ML systems into production.

* Hands‑on experience with LLMs, NLP, or retrieval‑augmented workflows.

* Confident working with large‑scale tabular datasets and complex data environments.

* Cloud experience, ideally AWS, plus familiarity with MLOps practices.

* Background in product‑focused environments or consultancy.

* Ability to evidence measurable business impact from previous technical projects.

What They Offer

* Hybrid working with two office days weekly.

* High levels of ownership across AI strategy and delivery.

* Opportunity to build the company’s first production AI systems.

* Collaborative culture within a scaling SaaS environment.

* Clear progression as the AI function grows.

How to Apply

To register your interest, please apply with your CV.

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Senior Data Scientist

London Hybrid (2 days x week)

This is an opportunity to join a growing Data and AI business building production grade machine learning and LLM driven products for financial services and trading environments. The role offers exposure to both proprietary software and consultancy led problem solving, with real ownership over models that move into live use rather than staying at proof of concept stage.

The Company
They are a well established Data and AI organisation that has been operating successfully for several years, combining proprietary tooling with consultancy expertise. Their products support data driven decision making across financial services, including advanced analytical assistants and conversational AI solutions. The business is technically led, collaborative, and focused on building high quality, scalable machine learning systems.

The Role
You will work as part of a close knit data science team, contributing to the design, development and deployment of machine learning and LLM based solutions.
Responsibilities include:

• Designing and building machine learning models used by trading and financial services clients.
• Developing NLP and LLM powered chat engines that surface insights and factual answers from complex data.
• Fine tuning deep learning and large language models, including extraction and parameter optimisation.
• Working end to end on models that are taken through to production rather than remaining as prototypes.
• Contributing to products such as data assistance tools, website chatbots and analytical AI platforms.

Your Skills and Experience

• Hands on experience building and deploying machine learning models end to end.
• Experience with LLMs, NLP, conversational AI, RAG pipelines and model fine tuning.
• Understanding of production grade ML workflows and CI CD principles.
• Experience building chatbots or NLP driven chat engines used in live environments.
• Comfortable working independently and taking ownership of complex problems.

What They Offer

• Hybrid working with two days per week in a London office.
• Remote flexibility for candidates based in the North, with office visits around twice per month.
• The chance to work on impactful AI products used in real commercial and trading environments.
• A supportive team structure with senior mentorship and clear technical progression.

How to Apply
If you are a Senior Data Scientist looking to work on production level ML and LLM solutions within financial services, apply now to find out more.

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Senior Strategy and Analytics Manager, Collections and Recoveries
London, Hyrbid
Salary up to £120,000

This is a high impact opportunity for a strategic and analytical leader to shape a critical area of a fast growing, data driven business. You will sit at the intersection of strategy, analytics and operations, owning decisions that directly influence customer outcomes, unit economics and long term growth.

The Company
They are a technology led organisation operating a scalable, subscription based business model with a strong focus on sustainable growth. Data sits at the core of how they make decisions, design customer journeys and optimise performance. With ambitious plans in the UK and internationally, they offer an environment where analytical thinking and commercial judgement are highly valued.

The Role

• Own and evolve the collections and recoveries strategy across products, customer journeys and markets.
• Use data and analytics to identify opportunities to improve performance while balancing customer experience and financial outcomes.
• Partner closely with teams across operations, product, finance and engineering to turn insight into action.
• Lead strategic initiatives that support sustainable scaling and expansion into new areas.
• Influence senior stakeholders with clear, evidence based recommendations that drive measurable impact.

Your Skills and Experience

• Strong commercial experience in strategy, analytics or data focused roles within a complex organisation.
• Advanced analytical capability with hands on use of SQL and Python to explore large, varied datasets.
• Ability to move confidently between detailed analysis and high level strategic thinking.
• Proven stakeholder management skills and experience working cross functionally in fast paced environments.
• A proactive, ownership driven approach with the confidence to lead initiatives end to end.

How to Apply
Apply now to explore how this role could be the next strategic step in your analytics and data leadership career.

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Data Scientist
London, 60,000 to 70,000 plus benefits, hybrid working, no sponsorship

This role offers the chance to step into a high‑impact data science position within a fast‑moving pricing environment where analytics directly influences commercial outcomes. You will work on complex, real‑world modelling problems with genuine ownership and visibility, rather than supporting work at the edges of the business.

The Company
They are a well‑established European insurance business operating in a highly data‑driven and technology‑led environment. With strong backing and ambitious growth plans in the UK, analytics plays a central role in how they compete and respond to market change. The culture is collaborative, fast paced and focused on building advanced analytical capability in‑house.

The Role

• Work within a pricing and underwriting data science team, building and improving predictive models that influence commercial strategy.
• Develop pricing and risk models that balance competitiveness with profitability.
• Explore, evaluate and integrate new data sources to enhance model performance.
• Use statistical thinking, logic and reasoning to simulate customer behaviour, including risk frequency and price sensitivity.
• Communicate insights clearly and influence decision‑making across technical and non‑technical stakeholders.
• Partner closely with machine learning engineers and other data professionals to deploy robust, scalable solutions.

Your Skills and Experience

• Strong commercial experience in data science or statistical modelling within any industry.
• Advanced Python skills for analysis and modelling.
• A solid grounding in statistical or mathematical concepts and applied problem solving.
• Confidence reasoning through complex problems and explaining your approach clearly.
• Experience working with end‑to‑end modelling problems, from concept through to impact.
• You must already have the right to work in the UK, as sponsorship is not available.

What They Offer

• Salary ranging from 60,000 to 75,000 depending on experience.
• Hybrid working with 1 to 2 days per week in the London office.
• High levels of autonomy and ownership over meaningful projects.
• Exposure to a wide range of analytical challenges in a fast‑growing business.
• Clear opportunities for progression as the UK data function continues to scale.

How to Apply
Apply now to learn more about this data science opportunity within a high‑impact pricing team.

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Data Scientist
London hybrid (1 to 2 days in the office) | £45,000 to £50,000 + benefits
Must have a masters in Maths or Physics from a Russell Group University
No sponsorship.

This is an opportunity to join a fast-growing insurance business at a pivotal stage of its UK expansion. You will sit in a highly analytical pricing and underwriting team, working on commercially critical models that directly influence pricing strategy, customer behaviour, and market competitiveness. The role offers strong ownership, rapid learning, and clear progression in a business that invests heavily in developing its data talent.

The Company

They are a European insurance provider operating in a highly competitive market, known for using data and technology as a core differentiator. Having achieved significant scale in their home market, they are now expanding rapidly across Europe with strong financial backing and ambitious growth plans. The culture is fast paced, highly data driven, and focused on building advanced analytical capability ahead of the market. They place particular emphasis on developing high-potential individuals and giving them exposure to meaningful, business-critical work.

The Role

• Work within the pricing and underwriting function to improve price accuracy and competitiveness
• Build and develop predictive models to better understand risk, customer behaviour, and pricing sensitivity
• Explore and integrate new data sources to enhance existing pricing and risk models
• Simulate customer behaviour, such as claim likelihood and response to pricing changes
• Translate analytical insights into practical recommendations that support new business growth
• Collaborate closely with other data scientists, machine learning engineers, and stakeholders across the business

Your Skills & Experience

• Strong academic background in a quantitative subject such as Mathematics or Physics
• Excellent logical reasoning and problem-solving ability
• Experience applying data science or modelling techniques in a commercial environment, or strong academic project experience
• Python experience is essential, with openness around other tools and technologies
• Ability to communicate complex ideas clearly and reason through problems out loud
• Motivated, curious, and keen to develop quickly in a demanding analytical environment

What They Offer

• Salary from £45,000 to £50,000 for strong Master’s graduates
• Hybrid working with 1 to 2 days per week in the London office
• Exposure to a wide range of pricing and modelling projects with real commercial impact
• Strong learning culture with support, mentorship, and clear development pathways
• Opportunity to join a growing UK analytics function within a well-funded, high-growth business

How to Apply

If you are interested in this Data Scientist role and want to find out more, please apply!

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Senior Marketing Analyst

£70,000-£90,000

London (Hybrid – 4x Days a Week in office, White City)

THE COMPANY

This is an opportunity to join a global marketing and data powerhouse operating at the intersection of data, technology, and advertising, part of a wider international group; they help major brands understand their customers, optimise digital media, and ultimately drive real commercial impact (not just clicks). Think sophisticated audience targeting, campaign personalisation, and deep measurement across online behaviour. Their analytics team is growing (5 → 8), led by a highly respected Analytics Director, with strong exposure to senior leadership and clients across retail and food delivery.

THE ROLE

This is a senior, client-facing analytics role with a strong focus on measurement, effectiveness, and commercial impact. You’ll act as a trusted analytics voice in client conversations, particularly around Marketing Mix Modelling (MMM) and econometrics

Key responsibilities include:

• Leading analytics across multiple client accounts and campaigns
• Interpreting campaign performance and identifying actionable insights
• Working with large behavioural and transactional datasets
• Advising clients on measurement approaches and campaign effectiveness
• Engaging with external MMM providers: challenging assumptions, understanding limitations, and influencing decisions
• Supporting broader analytics strategy across a network of agencies

This is a hands-on role with strategic exposure; ideal for someone who enjoys both deep analysis and stakeholder engagement.

YOUR SKILLS AND EXPERIENCE

• Extensive experience in marketing analytics
• Strong understanding of MMM / econometrics principles (hands-on or closely involved)
• Ability to confidently engage with clients and explain complex ideas clearly

THE BENEFITS

• £70,000-£90,000

HOW TO APPLY

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

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Portfolio Manager

Salary
£60,000-£75,000 + car allowance + Bonus + Pension

Location + work pattern
Offices in London and the midlands (hybrid working, one day per week in the office)

THE COMPANY

• A well-established UK insurer operating across multiple personal lines products, serving a large national customer base.
• Known for its strong data, analytics and technology capability, with significant ongoing investment in pricing and risk analytics.
• A business focused on disciplined underwriting, fair customer outcomes and data-led decision making.

THE ROLE

This role sits within an alternative pricing and portfolio analytics team, focused on understanding and shaping the composition of the insurance portfolio. You will bridge pricing strategy and implementation, ensuring portfolio performance aligns with pricing intent and risk appetite.
Specifically, you can expect to be involved in:

• Analysing portfolio performance using loss ratio and profitability metrics across defined customer segments.
• Owning the ongoing assessment of pricing, identifying segments to grow, constrain, reprice or redesign.
• Translating analytical insight into clear recommendations for pricing, modelling and underwriting teams.
• Leading cross-functional projects that address emerging portfolio risks or strategic opportunities.
• Supporting strong governance and fair customer outcomes through robust, evidence-based challenge.

YOUR SKILLS AND EXPERIENCE

• Experience in pricing, underwriting or portfolio analytics within insurance or a closely related financial services environment.
• Strong analytical capability with the ability to interpret performance data and draw commercial conclusions.
• Hands-on experience using Python or SQL for analysis (experience with both is advantageous).
• Confidence communicating insights to non-technical stakeholders and influencing pricing direction.
• Ability to take ownership of workstreams and collaborate across multiple teams.

THE BENEFITS

• Performance-related bonus and additional cash allowance.
• Private medical cover and comprehensive health and wellbeing support.
• Competitive pension with employer matching.
• Generous holiday allowance with the option to buy or sell days.
• Additional benefits including life assurance, income protection and product discounts.

THE PROCESS

• Initial 30-minute interview focused on experience and role alignment.
• Technical case study with presentation and discussion.
• Competency-based interview assessing leadership and delivery capability.
• Final-stage interview focused on team fit and sign-off.
• Offer!

HOW TO APPLY

Please register your interest via the apply link on this page.

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Marketing Analyst

£40,000 – £50,000

Hybrid – West London (4x days per week onsite)

This is an opportunity to join a growing analytics team where your work directly influences client strategy and commercial outcomes. You will work with rich online and offline datasets, turning complex data into clear, actionable insight that shapes digital media performance and long term growth.

The Company

They are a well established organisation operating at the intersection of data, digital media and marketing analytics. The business supports a diverse portfolio of clients, using advanced data capabilities to drive smarter decision making and measurable impact. Collaboration is central to their culture, with analytics embedded across commercial, technical and client-facing teams. They invest in modern tools and encourage analysts to bring new ideas and approaches.

The Role

• Deliver analytics across multiple client accounts, supporting data driven media and marketing strategies.
• Analyse campaign performance to identify opportunities for optimisation and improved outcomes.
• Work hands-on with large datasets, building queries and conducting custom analysis using SQL.
• Translate complex findings into clear insights for non-technical stakeholders.
• Partner closely with sales, account management, media delivery and product teams.
• Contribute ideas and creative solutions that improve how analytics is used across the business.

Your Skills and Experience

• Strong commercial experience in analytics within a client-facing or agency environment.
• Confidence working with customer, transactional or loyalty datasets.
• Practical experience using SQL or a similar querying language.
• Experience with data visualisation or business intelligence tools such as Tableau.
• Solid Excel skills and comfort working with large, complex data sets.
• Understanding of digital media or advertising technology is beneficial.

What They Offer

• Competitive salary with a comprehensive benefits package.
• Hybrid working model with time spent collaborating in a London office environment.
• Exposure to a wide range of clients, products and data challenges.
• Clear opportunities for progression and development within analytics and data.
• A collaborative culture that values curiosity, autonomy and impact.

How to Apply

If you are looking to grow your career in account-focused analytics and want to make a tangible impact through data, apply today.

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