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Retail & Customer Experience Data Analyst

Luxury Fashion Brand | £50,000 | Hybrid (West London) | 12-Month FTC

Join a fast-growing premium retail brand undergoing significant UK and international expansion. We’re looking for a commercially minded Data Analyst to help drive decisions across retail operations, customer experience, and customer insights.

Working closely with senior stakeholders, you’ll analyse customer, retail and commercial performance data to uncover actionable insights that improve customer retention, store performance, and overall business growth.

What You’ll Be Doing

• Deliver analysis on customer behaviour, retail performance and commercial trends

• Support new store openings and expansion decisions through data-led recommendations

• Build dashboards and reports using SQL, Excel and BI tools

• Analyse customer journeys, purchasing trends, retention and loyalty performance

• Measure the success of campaigns, customer engagement initiatives and retail events

• Present clear, actionable insights to senior stakeholders across the business

• Create customer segments and identify opportunities for growth and personalisation

What We’re Looking For

• Experience in a Data Analyst, Customer Analyst, Commercial Analyst or Insight Analyst role

• Strong SQL and Excel skills

• Experience using Power BI, Tableau or similar visualisation tools

• Proven ability to turn data into meaningful business recommendations

• Strong stakeholder management and communication skills

• A commercial mindset with an interest in customer behaviour and retail performance

• Comfortable working in a fast-paced, evolving environment

What’s Different About This Role?

This is not a pure data science position. The successful candidate will be someone who can bridge the gap between analytics and commercial decision-making, translating complex data into practical recommendations that drive business performance.

Salary: Up to £50,000
Location: Hybrid, West London (3 days per week)
Contract: 12-Month Fixed-Term Contract

For more information or to apply, please get in touch.

Find out more and apply via the link below!

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VP Data & AI Transformation
London | £160,000 – £180,000

This is a rare opportunity for an experienced data leader to shape the future of a business that is investing heavily in data, AI, and technology. As a newly created executive-level position, you’ll play a pivotal role in building a unified enterprise data function, driving AI adoption, and ensuring data becomes a core driver of growth, customer understanding, and business performance.

The Company
This established technology business operates at the intersection of data, analytics, and digital innovation, helping organisations make smarter commercial decisions through data-driven insights.

They are looking for a senior leader to bring together multiple teams under a unified strategy, driving greater value from data across the organisation and accelerating AI adoption at scale.

The Role
As VP, you will sit at the heart of the organisation’s data and AI journey, partnering closely with executive stakeholders to drive business impact.

Responsibilities include:

• Define and deliver the enterprise data, architecture, and AI strategy
• Create a 360-degree customer view to drive commercial and operational decision-making
• Lead Data Engineering, Analytics, Architecture, IT, and AI functions under a unified vision
• Drive AI adoption, automation, and enterprise-wide data capabilities
• Establish best practices across data governance, reporting, and systems architecture
• Partner with senior leadership to deliver initiatives across growth, product, pricing, and efficiency
• Build and lead high-performing teams while driving organisational change

Your Skills & Experience

• Leadership experience within Data, Analytics, Architecture, or Technology functions
• Proven success leading multiple technical teams and disciplines
• Strong track record delivering enterprise data strategies and transformation programmes
• Experience leveraging AI and data to drive measurable business outcomes
• Strong stakeholder management skills with executive-level influence
• Expertise in modern data platforms, governance, and analytics ecosystems
• Commercial mindset with the ability to translate technical strategy into business value
• Demonstrated success building trust, scaling teams, and leading through change

How to Apply
If you’re an experienced data leader looking to build a market-leading enterprise data capability and drive meaningful business transformation through data and AI, please apply today.

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Chief Data Officer

Up to £180,000 + Benefits
London
This is a fantastic opportunity to join a business at a pivotal stage of its technology and data transformation journey, taking ownership of a greenfield enterprise data strategy and building a modern data capability from the ground up.

THE COMPANY

Our client is a well-established, private equity-backed financial services organisation. The business is currently undergoing a significant technology and digital transformation, with substantial investment being made across platforms, customer experience, data capabilities and AI innovation.

With strong executive sponsorship and board-level commitment to technology, the organisation is seeking to modernise its technology estate and unlock greater value from its data assets.

THE ROLE

You will take ownership of the organisation’s data and AI strategy, establishing a modern data platform capable of driving insight, analytics and improved customer outcomes.
Key responsibilities include:

• Reviewing and evolving the existing data and AI strategy.
• Defining the future-state data architecture, tooling and delivery model.
• Building a data lakehouse capability and supporting engineering function from scratch.
• Delivering data platforms that support customer onboarding, conversion and predictive analytics.
• Assessing, developing and scaling the existing team while creating a high-performing data capability.
• Driving delivery, stakeholder engagement and executive-level communication.
• Establishing effective governance, processes and operating models across the data function.

YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

• Enterprise data strategy and data platform leadership.
• Data engineering, business intelligence and advanced analytics.
• Building and scaling modern data functions within complex organisations.
• Leading technology transformation programmes and influencing senior stakeholders.
• Translating technical capability into measurable business outcomes
• Experience within regulated environments such as financial services, insurance or lending.

THE BENEFITS

You will receive a salary of up to £180,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Please note: Sponsorship is not available for this position.

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CREDIT RISK CONSULTANT

SALARY BETWEEN £50,000 – £70,000

5 DAYS A WEEK IN-OFFICE

LONDON

Harnham are working with a specialist consultancy seeking Credit Risk Modelling Consultants to join their expanding team. This is an excellent opportunity for talented modellers with experience across IRB, IFRS 9, or model validation who are looking to accelerate their careers within a high-growth environment.

THE COMPANY

A rapidly growing credit risk consultancy working with a range of regulated lending institutions across the UK. The business specialises in credit risk modelling, data solutions, and emerging analytics technologies, delivering complex projects across IRB, IFRS 9, scorecard development, and model risk. As an early-stage consultancy experiencing significant growth, employees have the opportunity to take on real responsibility from the outset and contribute to both client delivery and the future direction of the business.

THE ROLE

You will work on a broad range of credit risk modelling projects across retail lending portfolios, supporting clients with model development, validation, scorecard design, and regulatory modelling initiatives. This role offers significant exposure to client-facing work and the opportunity to own key project deliverables early in your career.

Specifically, you can expect to be involved in:

• Developing, testing, calibrating, and documenting credit risk models.
• Supporting IFRS 9, IRB, scorecard development, and model validation projects.
• Working with large datasets using Python and SQL to deliver analytical insights.
• Producing model documentation and presenting findings to stakeholders.
• Collaborating with clients to understand portfolios, processes, and modelling requirements

SKILLS AND EXPERIENCE

The successful Credit Risk Consultant must have the following skills and experience:

• 3-8 years’ experience within credit risk modelling, model validation, analytics, or a related quantitative field.
• Experience with IFRS 9, IRB, PD, LGD, scorecards, or model risk management.
• Strong Python programming skills and working knowledge of SQL.
• Degree in a quantitative discipline such as Mathematics, Statistics, Economics, Engineering, Physics, Computer Science, or Finance.
• Strong communication skills with the ability to explain technical concepts clearly to non-technical audiences.

BENEFITS

The successful Credit Risk Consultant will receive a salary up to £70,000.

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Senior Product Engineer

London (Hybrid) | £115,000 to £140,000 + Equity

This is an opportunity to join an early-stage AI business at a pivotal point in its growth. As one of the first senior engineering hires, you will play a key role in shaping the product, influencing technical direction, and building scalable AI-powered solutions for enterprise customers.

The Company

They are a venture-backed AI startup building advanced software that helps organisations better understand customer behaviour and make more informed business decisions. Having secured significant early-stage funding and already engaging with enterprise customers, they are moving from proof-of-concept work into wider commercial growth. The team combines expertise across product, engineering and research, with a strong focus on delivering real-world impact through AI.

The Role

You will take ownership of core product development, working closely with senior leadership to build and scale an AI-driven platform.

Responsibilities include:

• Building and shipping product features across the full stack
• Developing and optimising LLM-enabled applications for enterprise users
• Owning retrieval augmented generation pipelines and AI integrations
• Designing scalable API-first products and backend services
• Improving model performance, reliability, evaluation frameworks and guardrails
• Managing token usage, response quality and cost optimisation strategies
• Contributing to cloud infrastructure and deployment processes within AWS
• Establishing engineering best practices across testing, delivery and software quality
• Working closely with stakeholders to shape product direction and priorities

Your Skills & Experience

• Strong commercial experience as a Product Engineer or Software Engineer
• Experience building and scaling LLM-powered products in production environments
• Strong backend engineering skills, ideally with Node.js and TypeScript
• Experience designing APIs and distributed systems
• Knowledge of cloud platforms, ideally AWS
• Comfortable working across both product and technical decision-making
• Experience in startup or high-growth environments where ownership is expected
• Strong communication skills and the ability to work autonomously
• Exposure to React or modern frontend technologies is beneficial
• Experience within regulated industries, including Financial Services, is advantageous but not essential

What They Offer

• Opportunity to influence engineering strategy from an early stage
• Direct exposure to founders and senior leadership
• Significant scope for progression as the team scales

How to Apply

If you are interested in building AI-powered products from the ground up and want to play a key role in an ambitious, venture-backed technology business, please apply today.

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Senior Risk Data Scientist
Remote (London) | £80,000 – £85,000 + Benefits

This is an opportunity to join an innovative data-driven business that is transforming how risk is assessed and managed within the payments ecosystem. Working at the intersection of Data Science, Machine Learning, and FinTech, you will have the chance to solve complex commercial challenges, influence product development, and help shape cutting-edge risk solutions from the ground up.

The Company
They are a fast-growing technology business focused on helping organisations better understand and manage risk through advanced analytics and machine learning. Their proprietary solutions combine large-scale transactional data with external data sources to deliver actionable insights and predictive risk intelligence. Operating across international markets, they offer a collaborative environment where data science plays a central role in business success.

The Role
As a Senior Data Scientist, you will be responsible for developing and enhancing predictive risk capabilities while working closely with commercial stakeholders and external partners.
Key responsibilities include:

• Using advanced analytics and investigative techniques to identify, monitor, and understand emerging risk trends across customer portfolios.
• Building, deploying, and monitoring predictive models and risk rules to improve decision-making and risk assessment.
• Applying machine learning and statistical techniques to complex real-world data challenges.
• Collaborating with external stakeholders to understand requirements and influence product development.
• Contributing to the development of innovative risk management methodologies and intellectual property.

Your Skills & Experience

• Strong commercial experience using Python for data analysis and modelling.
• Advanced SQL skills for extracting, transforming, and analysing large datasets.
• Experience working within credit risk, fraud analytics, payments risk, or a related quantitative environment.
• Practical experience building supervised machine learning models such as logistic regression and gradient boosting models.
• Ability to work autonomously, solve problems proactively, and thrive in a fast-moving environment.
• Exposure to clustering, anomaly detection, LLM applications, or agentic AI approaches would be advantageous.
• Strong commercial understanding of risk-based products, financial services, or payments environments is beneficial.

How to Apply
If you are an experienced Data Scientist with strong Python, SQL, and machine learning expertise and are excited by the opportunity to solve complex risk challenges within a high-growth environment, apply today.

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Chief Architect

Up to £140,000 + Benefits
London (1 day per week in the office)
This is a great opportunity to join a private equity-backed financial services organisation undergoing significant technology transformation, where you can take ownership of enterprise architecture strategy and help shape the future technology landscape.

THE COMPANY:

This established financial services business provides funding solutions that enable customers to spread the cost of major annual payments. Backed by significant investment and executive sponsorship, the organisation is embarking on a large-scale modernisation programme focused on improving customer experiences, accelerating technology delivery, and embedding AI-enabled ways of working throughout the business.

THE ROLE:

You will take ownership of the enterprise architecture function, providing strategic leadership across a broad range of technology and transformation initiatives.
Key responsibilities include:

• Owning and evolving the enterprise architecture strategy.
• Providing senior architecture leadership across major transformation programmes.
• Establishing scalable cloud-native architecture patterns and standards.
• Driving the adoption of modern AI-enabled architecture and engineering approaches.
• Balancing governance, risk, and architectural control with innovation.
• Partnering with product, security, engineering, and data leaders to deliver strategic objectives.
• Challenging legacy approaches and driving modern engineering best practices.
• Shaping the architecture required to support AI, automation, and agentic engineering capabilities.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Enterprise architecture leadership.
• Application and solution architecture.
• Cloud-native architecture and platform strategy.
• Architecture governance and technology standards.
• Leading technology transformation within complex organisations.
• Driving change and modern engineering practices.
• Executive stakeholder management.
• Developing architecture strategies aligned to AI and automation roadmaps.

THE BENEFITS:

You will receive a salary of up to £140,000, depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Please note: sponsorship is not available for this position.

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Overview

We are seeking a Senior Product Manager to lead the strategy, roadmap, and execution of healthcare analytics and data platform products that help healthcare organizations make better decisions through data. This role sits at the intersection of healthcare, analytics, data engineering, AI, and product management.

The ideal candidate combines strong healthcare domain knowledge with experience building analytics, reporting, decision-support, or data platform products. You will work closely with engineering, data science, design, and business stakeholders to turn complex healthcare data into actionable insights that improve operational performance, patient outcomes, and business results.

What You’ll Do

• Own product strategy, vision, and roadmap for healthcare analytics and data products.
• Translate customer, clinical, and business needs into product requirements and prioritized roadmaps.
• Partner with engineering, analytics, and data science teams to build scalable data products and decision-support solutions.
• Drive development of analytics capabilities, reporting workflows, dashboards, insights, and AI-driven features.
• Work closely with healthcare customers to understand workflows, pain points, and opportunities.
• Define KPIs and success metrics while measuring product adoption, engagement, and business impact.
• Lead cross-functional collaboration across Product, Engineering, Clinical, Operations, Design, Customer Success, and Executive stakeholders.
• Support product launches and drive continuous improvement through customer feedback and data analysis.

What We’re Looking For

Product Management

• 5+ years of Product Management experience.
• Experience owning product strategy, roadmap development, prioritization, and execution.
• Demonstrated success leading products from concept through launch and ongoing optimization.
• Strong requirements gathering, user story creation, and stakeholder management skills.

Healthcare Expertise

• Experience working in healthcare technology, digital health, payer, provider, population health, value-based care, care management, clinical decision support, healthcare analytics, or health information technology.
• Strong understanding of healthcare workflows and healthcare data ecosystems.
• Familiarity with healthcare regulations and compliance requirements.

Analytics & Data Platforms

• Experience building analytics products, reporting solutions, business intelligence platforms, decision-support tools, or enterprise data products.
• Ability to translate complex data into actionable insights for end users.
• Experience working with data warehouses, reporting platforms, KPI frameworks, and analytics-driven products.
• Understanding of healthcare claims, clinical, operational, or population health data preferred.

Technical Acumen

• Experience partnering closely with engineering, data engineering, analytics, and data science teams.
• Familiarity with cloud-based data platforms and modern analytics architectures.
• Understanding of AI/ML, predictive analytics, or GenAI-enabled product capabilities is a plus.
• Knowledge of interoperability standards such as HL7, FHIR, APIs, or healthcare integrations is beneficial.

Communication & Leadership

• Exceptional communication and presentation skills.
• Ability to align technical and non-technical stakeholders around a shared vision.
• Strong customer-facing experience and executive presence.
• Comfortable operating in fast-paced, cross-functional environments.

Preferred Experience

• Healthcare analytics platforms
• Population health solutions
• Clinical decision support products
• Value-based care programs
• Care management platforms
• Provider or payer technology solutions
• AI/ML-enabled healthcare products
• Interoperability and healthcare data exchange
• Business intelligence and reporting products

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About the Opportunity

We are seeking an Analytics Engineer to join a highly collaborative data organization that is transforming how data, analytics, and AI drive business decisions and customer experiences. This role sits at the intersection of analytics, product, and data engineering, offering the opportunity to build modern data products used by both internal stakeholders and external customers.

This is not a traditional dashboarding role. Successful candidates will be expected to act as business partners and domain experts, helping define key metrics, shape data strategy, and create scalable semantic models that power analytics experiences across the business.

You’ll work on a modern data stack, collaborate closely with Product and Data Engineering, and help deliver innovative analytics solutions, including AI-powered and conversational analytics capabilities.

What You’ll Do

• Design and maintain semantic models that translate complex business processes into scalable analytical frameworks
• Partner with Product, Finance, Operations, and other business teams to define KPIs and reporting requirements
• Build and optimize data products using Snowflake, Looker, and modern analytics engineering best practices
• Develop curated reporting layers and analytical data models that support decision-making across the organization
• Collaborate with Data Engineering teams to define source data requirements and improve underlying datasets
• Deliver both internal analytics solutions and customer-facing data products
• Use AI-assisted development tools to accelerate modeling, analytics, and reporting workflows
• Participate in sprint planning, peer reviews, and other software engineering practices
• Ensure data quality, governance, security, and scalability across analytics assets
• Contribute to the evolution of analytics engineering standards, tooling, and processes

Required Qualifications

• 5+ years of experience in Analytics Engineering, Business Intelligence, Analytics, Data Warehousing, or a related field
• Expert-level SQL skills
• Strong experience working with Snowflake
• Experience with dbt or similar modern data transformation frameworks
• Experience building semantic layers, analytical data models, and KPI frameworks
• Hands-on experience with modern BI and analytics platforms such as Looker, Tableau, Power BI, or similar
• Experience working directly with business stakeholders to define requirements and metrics
• Familiarity with AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar
• Experience working within a software engineering-style environment utilizing Git, code reviews, sprint planning, Jira, and documentation tools

Preferred Qualifications

• Experience supporting Product Analytics, Finance, FP&A, Customer Experience, or Operations teams
• Experience developing customer-facing or embedded analytics products
• Background spanning analytics engineering, data engineering, and business intelligence
• Experience with data governance, role-based access controls (RBAC), and row-level security (RLS)
• Exposure to open-source analytics platforms such as Metabase
• Experience with conversational analytics, AI-powered reporting, or GenAI-enabled data products
• Travel, hospitality, airline, booking, or consumer marketplace experience is a plus

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We are seeking a Data Scientist to lead the measurement, experimentation, and causal modeling work at the core of a next-generation decision intelligence platform. This is a unique opportunity to join an early-stage, venture-backed company and play a foundational role in shaping both the product and the future of the organization.

You’ll work directly with founders, fellow data scientists, and customers to develop advanced causal inference models that help organizations make better business decisions from complex data. This role is ideal for someone who enjoys moving quickly, thrives in ambiguous environments, and wants significant ownership over a core product capability.

Responsibilities

• Own the design, development, testing, and deployment of causal inference and experimentation models
• Take research concepts and prototypes through production implementation
• Build and improve models that power customer recommendations and decision-making
• Validate model performance using real-world customer data
• Design and analyze experiments to measure business impact
• Partner directly with customers to understand use cases and communicate findings
• Collaborate closely with founders, product leaders, and engineering teams
• Help shape the long-term product and data science strategy

Required Qualifications

• PhD strongly preferred; Master’s degree considered in Economics, Statistics, Computer Science, Applied Mathematics, or a related quantitative field
• 1+ years of hands-on experience applying causal inference methods in production environments
• Experience with:
• Difference-in-Differences (DiD)
• Synthetic Control Methods
• Double Machine Learning (DML)
• Strong A/B testing and experimentation experience
• Advanced Python skills for statistical modeling and machine learning
• Demonstrated ability to take models from development through production deployment
• Exceptional communication skills with both technical and non-technical audiences
• Desire to work in a fast-paced, early-stage startup environment

Preferred Qualifications

• Experience in product analytics, marketplace analytics, measurement science, econometrics, or experimentation-focused data science
• Prior startup experience or experience building products, functions, or capabilities from scratch
• Experience building data pipelines and ingestion frameworks
• Experience working directly with customers or external stakeholders
• Interest in product strategy and long-term product leadership opportunities

What Success Looks Like

• Own a core modeling workstream that becomes a fundamental part of the product
• Deliver robust causal inference solutions that drive customer outcomes
• Help customers confidently measure the impact of their business decisions
• Influence product direction through deep analytical expertise
• Contribute to building a category-defining technology company from an early stage

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