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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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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 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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Senior Marketing Analyst

Hybrid – West London (4x days per week)

£80,000 – £90,000

This is a high-impact analytics role where you will work at the intersection of data, media, and commercial decision-making. You will play a key role in shaping how data-driven insight influences marketing strategy and campaign performance for a portfolio of high-profile accounts.

The Company

They are a well-established, data-led organisation operating in the digital media and marketing analytics space. The business is known for working with large, complex datasets and using advanced analytics to drive measurable commercial outcomes. Collaboration sits at the heart of their culture, with analytics partnering closely across sales, account management, media, and product teams. They offer a stable yet progressive environment where analytical thinking is valued and visible.

The Role

• Lead analytics delivery across multiple client accounts and digital media products.
• Evaluate campaign performance using online and offline data to generate actionable insights.
• Support the development of data-driven media and marketing strategies that drive business growth.
• Build and deliver custom analyses, including hands-on data manipulation and querying.
• Contribute to marketing mix modelling and ensure performance is accurately represented in MMMs.
• Partner closely with internal stakeholders across commercial, media delivery, and product teams.
• Communicate complex analytical findings clearly to non-technical audiences.
• Coach and support colleagues on best practice in analysis interpretation and insight storytelling.

Your Skills and Experience

• Strong commercial experience in marketing or media analytics within a client-facing environment.
• Proven capability in analysing digital media performance and advertising effectiveness.
• Experience building, validating, and interpreting marketing mix models.
• High level of statistical literacy, including experimental design and model interpretation.
• Practical experience using SQL and/or analytical programming languages such as Python or R.
• Experience with data visualisation tools such as Tableau or similar BI platforms.
• Confidence translating complex data into clear, business-focused recommendations.

What They Offer

• Competitive salary and benefits package.
• Hybrid working model with regular collaboration from the London office.
• Exposure to complex, large-scale datasets and high-impact analytical projects.
• Clear opportunities for progression within a growing analytics function.
• A collaborative, supportive environment that values curiosity and analytical rigour.

How to Apply

Apply now to find out more about this Senior Account Analytics Analyst opportunity and how it could support your next career move in analytics.

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Data Scientist
London, 45,000 to 50,000 plus benefits, hybrid working 1 to 2 days per week, No sponsorship available

This is a standout opportunity for a high‑potential graduate to launch a data science career in a business where analytics directly shapes commercial decisions. You will join a pricing team known for developing early‑career talent, offering real ownership, structured learning and exposure to impactful projects from day one.

The Company
They are a fast‑growing European motor insurance business operating in a highly data‑driven, technology‑led environment. Having successfully scaled across multiple markets, they are now investing heavily in their UK analytical capability. The culture is ambitious, collaborative and focused on hiring bright, curious people with strong problem‑solving ability.

The Role

• Work within a data science function aligned to pricing and underwriting.
• Build and improve predictive models to support pricing competitiveness and risk management.
• Use logical reasoning and statistical thinking to simulate customer behaviour, including risk and price sensitivity.
• Explore and assess new data sources to enhance modelling performance.
• Communicate your approach and reasoning clearly when solving complex problems.
• Collaborate closely with experienced data scientists and machine learning engineers.

Your Skills and Experience

• A Masters degree in Mathematics, Physics or a closely related quantitative subject.
• Strong academic performance with a 2.1 or above.
• Excellent logical, analytical and problem‑solving skills.
• Motivation, curiosity and a clear interest in applied data science.
• Ability to explain your thinking and approach when tackling unfamiliar problems.
• Any exposure to Python or analytical programming is beneficial but not essential for graduates.
• You must already have the right to work in the UK, as sponsorship is not available for this role.

What They Offer

• Salary of 45,000 to 50,000.
• Hybrid working with 1 to 2 days per week in the London office.
• Structured training, mentorship and clear development pathways within data science.
• High levels of responsibility and ownership early in your career.
• The chance to grow within a business that genuinely values data and invests in its people.

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

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Staff AI Engineer

(Hands‑on, LLM Platforms, Technical Lead)

Location: New York
Working model: On‑site
Package: Competitive base + performance‑linked upside

The Opportunity

An established, technology‑driven organisation is building a central AI engineering capability to support complex, data‑intensive decision‑making across the business.

This is a high‑impact individual contributor role for a Senior AI Engineer who enjoys operating close to the commercial core. You’ll take ownership of critical AI systems from architecture through to deployment, working within a small, trusted technical group with direct access to senior stakeholders.

The environment suits someone who thrives in low‑bureaucracy, high‑autonomy settings, where AI is expected to deliver real, measurable value, not experiments for experimentation’s sake.

The Role

You will act as the technical lead for advanced AI tooling, owning system design and delivery across a range of internal use cases.

Responsibilities include:

• Designing and building LLM‑based applications, including retrieval‑augmented generation and agent‑style workflows
• Owning end‑to‑end system architecture, performance, and scalability
• Developing AI tools to support research, monitoring, knowledge discovery, and decision support
• Establishing evaluation and quality frameworks to ensure AI outputs meet high reliability standards
• Reviewing code, setting engineering standards, and supporting the development of other engineers
• Partnering closely with non‑technical users to translate complex workflows into intuitive AI products
• Assessing third‑party tooling and platforms where appropriate

This is a deeply hands‑on role with real ownership.

What We’re Looking For

Core requirements:

• Strong software engineering background (Python preferred)
• Proven experience building production AI systems, particularly modern LLM applications
• Solid understanding of:
  • Prompt design and iteration
  • Embedding pipelines and vector databases
  • RAG architectures and tool‑use patterns
  • Model evaluation and monitoring
• Experience deploying AI products used by non‑technical stakeholders
• Comfortable setting technical direction while remaining a builder

Nice to have:

• Exposure to complex analytical or commercial domains
• Experience working in small, senior engineering teams
• Background in cloud‑native environments

Why Join?

• Ownership of mission‑critical AI systems
• Direct visibility of impact, your work will be used day‑to‑day
• Modern AI stack with freedom to make technical decisions
• Long‑term scope to shape and grow the AI engineering function

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Data Engineer

up to £90,000 + Benefits
Manchester (Hybrid)
This is a great opportunity to join a high‑growth adtech scale‑up where you can take ownership of large‑scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI.

THE COMPANY

This is a UK‑based adtech SaaS platform that using machine learning and real‑time behavioural analytics to help brands optimise performance.

THE ROLE

Key responsibilities include:

• Designing, building, and maintaining batch and streaming data ingestion pipelines for high‑volume event data
• Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency
• Refactoring poorly structured data into clean, well‑governed, ML‑friendly datasets
• Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation
• Ingesting and integrating new and under‑utilised data sources
• Working on greenfield projects while scaling existing data infrastructure to billions of data points

YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

• Python and SQL
• AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda)
• End‑to‑end ownership, from proof‑of‑concept through to production

THE BENEFITS

You will receive a salary of up to £90,000 depending on experience, along with a comprehensive benefits.

HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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