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Senior Analytics Engineer

Permanent role – up to £65k base + benefits

Oxford | Hybrid (2 days onsite)

The Role

I’m partnering with an innovative organisation looking to hire a Senior Analytics Engineer to help develop and optimise its cloud-based data platform. Reporting into the Head of Data , you’ll be responsible for building scalable data solutions, developing ETL/ELT pipelines, enhancing enterprise reporting, and working closely with stakeholders to deliver robust analytics across the business.

Requirements:

• Strong SQL experience (Essential)
• Microsoft Fabric experience (Essential)
• Azure SQL Server
• Azure Data Factory (ADF)
• Azure Synapse
• ETL/ELT pipeline development
• Python
• Azure DevOps (CI/CD)
• Git
• Power BI or similar BI tools
• Experience designing and maintaining cloud-based data platforms

Nice to have and will make you stand out:

• Data modelling (Star/Snowflake Schema)
• NoSQL databases (e.g. Cosmos DB, MongoDB)
• C#
• Data governance and GDPR knowledge
• Agile/Scrum experience
• Legacy system migration experience
• Experience working with offshore teams

If you are interested in the role, please apply. To follow up please message me on LinkedIn.

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FP&A Analyst

London, 3 days in office | £70,000
No Sponsorship offered
Must be strong in Excel

This is an exciting opportunity for an FP&A Analyst to join a high-performing finance team in a role that combines financial planning & analysis, business performance reporting, and strategic investment support. You’ll gain exposure to senior stakeholders, board-level reporting, and key business decisions while helping to shape the future of reporting and analytics across the organisation.

The Company

They are a global professional services business with an established international presence and a strong reputation within their market. The organisation is investing heavily in data, reporting, and business performance capabilities to support continued growth. Their finance function plays a key role in driving strategic decision-making, with a strong focus on delivering high-quality insight across the business. This role sits within a collaborative FP&A team working across reporting, investments, and performance analysis.

The Role

As an FP&A Analyst, you will support financial and operational reporting, investment analysis, and performance measurement across multiple business areas.

Responsibilities include:

• Delivering monthly financial and operational reporting across the business
• Collecting, validating, cleansing, and consolidating data from multiple sources
• Building and enhancing Excel-based reporting packs and management information
• Producing presentations and board-level reporting for senior stakeholders
• Analysing profitability, revenue, utilisation, cash flow, and business KPIs
• Supporting investment performance tracking and strategic growth initiatives
• Partnering with stakeholders to gather business commentary and operational insights
• Identifying opportunities to improve reporting processes, governance, and data quality
• Supporting the transition towards a more mature data and reporting environment
• Acting as a key link between finance teams and data specialists
• Delivering ad hoc commercial analysis and performance reporting

Your Skills & Experience

To be successful in this FP&A Analyst role, you should have a strong blend of finance, reporting, and analytical expertise.

Essential requirements:

• Experience in FP&A, Commercial Finance, Finance Analysis, Management Accounting, or a similar analytical finance role
• Exceptional Excel skills, including:
• XLOOKUP
• INDEX MATCH
• SUMIFS
• Advanced data manipulation
• Multi-source data consolidation
• Reporting pack creation and enhancement
• Strong experience working with financial and operational KPIs
• Knowledge of revenue, profitability, cash flow, and commercial performance analysis
• Experience working with large, complex, or imperfect datasets
• Power BI experience, including Power Query and data transformation
• Strong stakeholder management and communication skills
• Ability to translate data into clear commercial insights and recommendations
• A proactive mindset with a focus on continuous improvement
• Availability within a maximum 6-week notice period

Desirable:

• Experience within professional services, consulting, accountancy, or other KPI-driven environments
• Exposure to data warehouse environments
• Knowledge of DAX
• Experience supporting investment or business performance reporting

What They Offer

• £70,000 – £75,000 base salary
• 5% profit share bonus
• Hybrid working with 3 days per week in the Victoria office
• Exposure to board-level reporting and senior leadership
• Opportunity to work on strategic investment and business performance projects
• Significant influence over reporting transformation initiatives
• Strong career development opportunities within finance, analytics, and business partnering
• Collaborative and commercially focused team environment

How to Apply

If you are an FP&A Analyst with outstanding Excel skills, strong commercial awareness, and a notice period of 6 weeks or less, I’d love to hear from you. Apply now to find out more.

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CRO Manager

£55,000-£65,000 + Bonus

Remote-first in the UK – 2x days a month in the office

If you’re a strategic CRO professional who enjoys owning the full customer journey, building experimentation roadmaps and turning insight into measurable commercial growth, this could be an excellent opportunity to make a real impact across multiple brands and markets!

The Company

A leading, multi-award-winning travel insurance group is continuing to invest in its digital customer experience and optimisation capabilities. The group operates several well-established travel insurance brands across the UK, Ireland and Australia, with further international expansion planned. Its flagship brand specialises in providing travel insurance for customers who may have more complex requirements, including those with pre-existing medical conditions. With a strong customer-first culture and a reputation as one of the UK’s top insurance companies to work for, the business is now looking to strengthen its CX and CRO capability with a dedicated CRO Manager.

The Role

Reporting directly into the Head of Marketing, you’ll sit within a small team of three and take ownership of the end-to-end digital customer journey across the group’s brands. This is a highly hands-on role, but with a strong strategic element. You’ll be responsible for shaping the optimisation vision, building the roadmap and identifying where experimentation and customer insight can have the greatest commercial impact. You’ll work closely with Development, UX, Pricing and Customer Operations teams to deliver experimentation, personalisation and wider CX initiatives.

Key responsibilities will include:

• Owning the end-to-end conversion journey, with accountability for conversion, revenue and customer experience
• Building and delivering a data-led experimentation and CRO roadmap
• Identifying opportunities to improve conversion, upsell, retention and ancillary product performance
• Using analytics, customer insight, user testing, session recordings and performance data to identify optimisation opportunities
• Managing and delivering A/B testing and experimentation, ensuring successful tests are implemented into production
• Working with technical teams on tracking, experimentation architecture and scalable optimisation capabilities
• Developing a roadmap around personalisation, experimentation and customer experience
• Defining CX performance indicators and presenting recommendations and results to senior stakeholders
• Working across UK and Gibraltar-based teams to deliver CX initiatives
• Exploring emerging technologies, AI and new approaches to digital optimisation

The business already has a roadmap in place, so you’ll have a strong foundation to build upon while bringing your own strategic thinking and experience to the function.

Your Skills & Experience

• Strong end-to-end CRO and customer journey optimisation experience
• A strategic mindset, with the ability to build and own an optimisation roadmap
• Strong hands-on experience delivering experimentation and A/B testing
• Experience working across the full testing lifecycle, from identifying opportunities through to implementation and measurement
• Strong commercial awareness and the ability to connect optimisation activity to revenue and conversion
• Experience with tools such as AB Tasty, Optimizely, VWO, Google Analytics or similar – the business is tool agnostic
• A good understanding of front-end implementation, tagging and experimentation architecture
• Knowledge of UX/UI and personalisation principles
• Excellent stakeholder management and presentation skills
• The ability to operate in a fast-paced, hands-on environment

Experience within insurance or financial services would be beneficial but is not essential. Travel, digital-first or agency backgrounds will also be considered. Experience with server-side testing and experimentation is particularly attractive.

The Benefits

• £55,000-£65,000 salary
• Bonus

How to Apply

To register your interest in this opportunity, please send your CV to Adam Osborne at Harnham via the Apply link on this page.

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Lead Data Scientist

This is a important, commerical Lead Data Scientist role within a fast-growing, product-led environment that is redefining how data drives commercial outcomes. The position sits at the intersection of product, analytics and AI, focusing on identifying the right problems to solve, quantifying opportunities and delivering measurable business impact.

The Company
They are an international, product-led digital platform operating across multiple regions, with a strong focus on customer experience, sustainability and innovation. Data and AI sit at the core of their growth strategy, supported by a modern data stack, strong documentation and executive buy-in. The business is evolving into a more decentralised data model, embedding decision-makers directly within product teams. This creates a highly collaborative environment where data professionals have direct influence on product direction and commercial outcomes.

The Role

• Act as the data voice within product teams, shaping decisions from ideation through to delivery
• Identify and define key business problems, with a focus on commercial impact and customer outcomes
• Conduct opportunity sizing, exploratory analysis and deep-dive product analytics
• Design and implement experiments, including A B testing and post-test analysis
• Define success metrics, dashboards and measurement frameworks with product stakeholders
• Translate analysis into clear recommendations that influence investment decisions
• Collaborate with engineering and data teams to build data-driven product features
• Apply light touch data science techniques such as segmentation, forecasting and recommendation approaches
• Use AI and emerging technologies to prototype and enhance product capabilities
• Balance analytical rigour with pace in a fast-moving, ambiguous environment

Your Skills and Experience

• Commercial experience using data to drive business decisions and measurable outcomes
• Proven ability to frame ambiguous problems and translate them into structured analytical approaches
• Experience in product/customer analytics, experimentation and statistical analysis
• Confident stakeholder manager with the ability to influence cross-functional teams
• SQL skills and working knowledge of a programming language such as Python or R
• Understanding of modern data platforms and dashboarding tools
• Strong grasp of experimentation design, including hypothesis testing and sample sizing
• Interest in AI and practical experience using data or AI tools to enhance workflows
• A product mindset, with the ability to connect data work to customer experience and revenue impact

What They Offer

• Competitive salary and comprehensive benefits package
• Clear progression opportunities as the data function continues to scale
• Dedicated learning and development support, including structured upskilling and training resources
• Opportunity to work on cutting edge AI and data-driven product initiatives
• Collaborative, inclusive environment with strong data foundations and leadership support

How to Apply
If you are interested in solving complex business problems and shaping product decisions through data, apply now to learn more.

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Engineering Lead

Location: Cambridge, MA (Hybrid, 4 days onsite)
Pay: $250,000-$270,000 Base + 20% Bonus + Equity

About the Opportunity

An innovative, venture-backed healthcare technology company is seeking a hands-on engineering leader to help scale its engineering organisation during a critical growth phase. Operating at the intersection of AI, machine learning, and healthcare data, the company is building technology that improves how complex diseases are detected, monitored, and understood. This role offers the opportunity to shape engineering culture, processes, and technical direction while remaining deeply involved in product development.

Responsibilities

• Lead, mentor, and develop a high-performing engineering team.
• Own engineering delivery, sprint planning, execution, and operational excellence.
• Partner closely with Product, Engineering, and executive leadership on roadmap execution.
• Contribute directly to production code, architecture, and technical decision-making.
• Design and build scalable backend systems and application platforms.
• Establish and improve CI/CD pipelines, testing practices, observability, and reliability standards.
• Drive adoption of AI-assisted engineering workflows and modern development practices.
• Support hiring efforts and help scale the engineering function as the business grows.

Must-Have Qualifications

• 10+ years of software engineering experience.
• 5+ years of engineering leadership experience.
• Minimum 3+ years of direct people management experience.
• Strong hands-on experience with Python and modern application development.
• Experience with React and cloud platforms (AWS and/or GCP).
• Expertise building CI/CD pipelines and scalable deployment processes.
• Previous startup or high-growth technology company experience.
• Bachelor’s degree in Computer Science, Software Engineering, or related technical field.

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Senior Fullstack Engineer

$150,000-$180,000

4 days/month on site in Houston or Austin

A fast-growing organisation is seeking an experienced Full Stack AI Engineer to design, develop, and deploy production-grade applications that combine modern software engineering with practical AI capabilities. This role is ideal for a software engineer who has evolved into AI-focused development and has hands-on experience integrating large language models, generative AI solutions, retrieval systems, and intelligent workflows into enterprise applications.

The successful candidate will own solutions across the full technology stack, from user interfaces and APIs to data pipelines and AI-enabled features. You’ll work closely with product, data, and engineering stakeholders to deliver scalable, business-focused solutions in a collaborative environment.

Key Responsibilities
Solution Design & Architecture

• Design and implement end-to-end applications spanning frontend, backend, data, and AI layers.
• Contribute to architecture decisions, technical reviews, and engineering standards.
• Develop scalable, secure, and maintainable systems suitable for enterprise environments.
• Create patterns and frameworks for AI-enabled application development.

Full Stack Development

• Build user-facing web applications, APIs, workflows, and data-driven solutions.
• Translate analytical and AI outputs into intuitive user experiences.
• Develop applications using modern frontend frameworks and Python-based backend technologies.
• Deliver responsive dashboards, data applications, and self-service tools that support business users.

AI & Intelligent Systems

• Implement AI-powered features such as conversational interfaces, semantic search, document processing, and workflow automation.
• Integrate LLMs, retrieval-augmented generation (RAG), agent-based systems, and AI services into production applications.
• Evaluate and select appropriate AI tools, frameworks, and platforms.
• Collaborate with data and machine learning teams to operationalise AI capabilities.

Data & Platform Integration

• Build and maintain data ingestion pipelines and integration workflows.
• Connect applications to data platforms, model endpoints, and enterprise data sources.
• Ensure data quality, reliability, scalability, and performance.
• Support AI memory systems, knowledge retrieval mechanisms, and data synchronisation processes.

Engineering Excellence

• Leverage AI-assisted development tools as part of daily engineering workflows.
• Implement CI/CD pipelines, automated testing, monitoring, and observability practices.
• Participate in code reviews and contribute to engineering best practices.
• Maintain high standards for security, documentation, testing, and software quality.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
• 8+ years of professional software engineering experience.
• Minimum 5+ years of hands-on full stack development experience.
• Recent experience applying AI technologies within software products, including at least 2+ years working with practical AI implementations.
• Strong understanding of:
• Large Language Models (LLMs)
• Generative AI applications
• Agentic systems and AI workflows
• Retrieval-Augmented Generation (RAG)

• Experience building RESTful APIs and backend services.
• Strong frontend development experience using frameworks such as React, Angular, or similar technologies.
• Strong backend development experience using Python frameworks such as FastAPI, Flask, or Django.
• Experience working with cloud-native applications, with a preference for Google Cloud Platform (GCP).
• Experience with data-intensive applications and platform integrations.
• Hands-on use of AI-assisted coding tools within the software development lifecycle.
• Strong communication, collaboration, and stakeholder engagement skills.
• Experience operating in fast-paced environments with evolving requirements.

Preferred Qualifications

• Experience integrating LLMs, RAG frameworks, AI APIs, and intelligent agents into production environments.
• Experience with modern data platforms, lakehouse architectures, or large-scale data ecosystems.
• Background working in startup, scale-up, or small-to-mid-sized engineering teams.
• Experience with infrastructure-as-code, CI/CD automation, and cloud deployment practices.
• Familiarity with agile software delivery methodologies.
• Experience owning products and systems throughout their full lifecycle.
• Strong product mindset with a focus on usability and business impact.

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Lead Econometrician
London – hybrid 3x in office
Up to £80,000

This is a high-impact leadership role offering the opportunity to build and scale a data science function in the UK. You will take ownership of Marketing Mix Modelling delivery while shaping the long-term vision of the team, combining hands-on technical work with senior stakeholder engagement. With strong investment in data capabilities, this role offers real influence over both client outcomes and internal growth.

The Company
They are an established global media and analytics business focused on understanding the true drivers of marketing performance and profitability. Built with a strong technical foundation, they bring together experimentation, proprietary tools, and data science to inform strategic marketing decisions. As part of a wider transformation, they are investing in building a UK-based data science team to bring capability closer to clients. This creates an opportunity to join at an early stage and play a central role in shaping how the function evolves.

The Role

• Lead the end-to-end delivery of Marketing Mix Modelling using frameworks such as Meridian, Robyn, or PyMC
• Oversee all stages of model development including data preparation, calibration, validation, and scenario planning
• Translate complex statistical outputs into clear, commercially actionable insights for senior stakeholders
• Act as the senior point of contact for clients, supporting both delivery and strategic discussions
• Balance hands-on technical work with leadership responsibility, with scope to evolve as the team grows
• Build and develop a high-performing data science team, setting standards and supporting capability growth
• Contribute to business development, including supporting pitches and shaping the data science proposition

Your Skills and Experience

• Strong commercial experience delivering Marketing Mix Modelling projects end-to-end
• Proficiency in Python with experience using open-source MMM frameworks such as Meridian, Robyn, or PyMC
• Solid grounding in statistical modelling, including Bayesian approaches and media attribution
• Proven experience working in a client-facing environment, delivering insights to senior stakeholders
• Experience leading or mentoring data scientists while remaining hands-on technically
• Ability to assess model quality and translate outputs into clear business recommendations

What They Offer

• Opportunity to build and shape a growing data science function
• High level of ownership and visibility across the business
• Clear progression as the team and capability expand

How to Apply
If you are interested in leading impactful data science work and building a function from the ground up, please get in touch to learn more.

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Junior Manager, Econometrician
London – hybrid 3x a week in office
Up to £46,000

This is an exciting opportunity to join a growing data science function at a pivotal stage of its development. You will play a key role in delivering Marketing Mix Modelling (MMM) projects for well-known clients, combining hands-on technical work with exposure to strategic decision-making. With strong backing from leadership and active hiring across the team, this role offers genuine scope to shape how data science is delivered in a high-impact, client-facing environment.

The Company
They are a global media and marketing analytics business focused on understanding what truly drives profit. Founded by a technically minded leadership team, they have scaled internationally and built a strong reputation for combining experimentation, proprietary tools, and data science to inform marketing performance. They are now investing heavily in building out their UK data science capability, bringing work in-house and creating a collaborative, high-performing team. This growth phase offers the opportunity to contribute to both client delivery and the evolution of the function.

The Role

• Deliver end-to-end Marketing Mix Modelling projects using frameworks such as Meridian, Robyn, or PyMC
• Own key stages of the modelling process, including data preparation, model development, validation, and scenario analysis
• Interpret model outputs and translate them into clear, actionable insights for clients
• Work directly with stakeholders to support strategy, media planning, and performance optimisation
• Contribute to multiple live projects simultaneously, balancing hands-on technical work with client interaction
• Support the ongoing development of data science best practices and modelling approaches

Your Skills and Experience

• Strong commercial experience in Marketing Mix Modelling – experience building the models from scratch
• Proficiency in Python and experience working with open-source MMM frameworks such as Meridian, Robyn, or PyMC
• Solid understanding of statistical modelling techniques, including Bayesian approaches
• Experience delivering analytical work in a client-facing or stakeholder-driven environment
• Ability to assess model quality and clearly communicate findings to non-technical audiences
• Exposure to marketing analytics, attribution, or media effectiveness projects is highly beneficial

What They Offer

• Opportunity to join a rapidly growing data science team with strong leadership support
• Clear progression path as the function expands
• Exposure to high-impact client work across a range of industries

How to Apply
If you are interested in applying your data science expertise to solve real-world marketing challenges in a growing team, please get in touch to learn more.

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