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Data Scientist
Berkshire (Hybrid, 3-4 days per week) | £50,000 – £60,000
This is an exciting opportunity for a Data Scientist to join a growing organisation that is investing heavily in its data and analytics capabilities. You’ll play a key role in building trusted data foundations, improving data quality, and delivering AI and predictive analytics solutions that support both operational and commercial decision-making.
The Company
This organisation is undergoing a significant data transformation, modernising its technology stack and centralising data within a cloud-based platform. With ambitious growth plans and substantial investment in analytics, they are looking to use data more effectively to drive performance, automate processes, and enable better business decisions.
Working in a small, collaborative team, you’ll have the opportunity to influence the direction of the data function and work across a diverse range of projects spanning data engineering, analytics, machine learning and AI.
The Role
You will work closely with senior stakeholders to improve data quality, build robust analytical solutions, and help shape the organisation’s data strategy.
Key responsibilities include:

• Cleaning, reconciling and standardising data from multiple source systems
• Developing scalable data models to support reporting, analytics and machine learning initiatives
• Performing entity resolution and fuzzy matching to improve data accuracy and consistency
• Building dashboards and reporting solutions for business stakeholders
• Supporting AI-driven document processing and automation projects
• Developing forecasting and predictive analytics solutions to support operational planning
• Working with complex datasets to identify trends, risks and opportunities
• Contributing to a modern cloud-based data platform and best-practice data governance processes

Your Skills & Experience

• Strong commercial experience with SQL and data modelling
• Experience working with complex, fragmented or low-quality datasets
• Knowledge of data quality improvement, reconciliation and master data challenges
• Experience building analytical, forecasting or machine learning models
• Exposure to Snowflake would be highly beneficial
• Experience developing reporting and dashboards in Power BI
• Strong stakeholder engagement and communication skills
• STEM degree or other highly quantitative academic background

What They Offer

• £50,000 – £60,000 salary
• Hybrid working arrangement with 3-4 days per week in the office
• Opportunity to work on AI, machine learning and predictive analytics projects
• Exposure to modern cloud technologies and data platforms
• Significant scope to shape the data function and influence technical direction
• Strong career development opportunities within a growing business

How to Apply
If you are interested in this role, pleasae feel free to apply below.

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PRODUCT MANAGER

SALARY UP TO £90,000

HYBRID WORKING (3 DAYS PER WEEK IN-OFFICE)

LONDON

Harnham are working with a fast-growing FinTech business that provides funding solutions to small and medium-sized enterprises through embedded finance partnerships. This is an excellent opportunity for a Credit Risk professional to join a high-performing analytics function and play a key role in shaping lending decisions and portfolio performance.

THE COMPANY

Harnham are working with a specialist UK financial services provider operating across property finance and lending. Having established a strong position within its market, the business is entering an exciting phase of growth and investment, with a particular focus on expanding its property division and enhancing its product offering. The culture is highly collaborative, with product teams working closely alongside commercial, finance, treasury, and operational stakeholders to drive innovation, improve customer outcomes, and identify new opportunities for growth.

THE ROLE

This is a senior individual contributor position focused on product proposition development, pricing strategy, and market analysis across mortgage and property lending products. You will work closely with a range of stakeholders to drive proposition performance and identify opportunities for future growth.

Specifically, you can expect to be involved in:

• Managing and evolving mortgage and property finance propositions.
• Conducting competitor analysis, market research, and product performance reviews.
• Assessing pricing strategies and recommending enhancements based on market trends.
• Producing and interpreting management information to identify opportunities and risks.
• Supporting the development and launch of new lending products and propositions.

SKILLS AND EXPERIENCE

The successful Product Manager must have the following skills and experience:

• Proven experience in product management, proposition management, or pricing within the mortgage sector.
• Strong knowledge of Buy-to-Let (BTL) and bridging finance products.
• Experience conducting competitor, market, and performance analysis.
• Ability to interpret management information and identify commercial trends.
• Strong stakeholder management skills and experience working across multiple business functions.
• Previous experience operating at Senior Manager, Lead, or equivalent level.

BENEFITS

The successful Product Manager will receive a salary up to £90,000.

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Lead Analytics Consultant
London / 1 day per month in the office
Up to £90,000 + Bonus

This is an opportunity to join a growing analytics function focused on building high-impact, production-ready analytical products. Rather than delivering one-off reporting, you’ll create scalable tools and applications that are used by both internal stakeholders and external clients, directly influencing business decisions and user experiences.

The Company
They are a well-established organisation with a growing focus on data and analytics innovation. Their analytics team operates as a business-facing function, partnering closely with consultants, commercial stakeholders and project teams to solve complex challenges. The team is investing in reusable products, frameworks and analytical applications designed to deliver long-term value. With continued growth plans, this is an excellent opportunity to play a key role in shaping the future of analytics delivery.

The Role
You will work across the full product lifecycle, from initial concept and requirements gathering through to deployment and user adoption.
Responsibilities include:

• Building production-ready analytical products and applications for business users
• Developing interactive dashboards, tools and data-driven applications
• Partnering directly with stakeholders to understand requirements and shape solutions
• Delivering analytical products that create measurable business impact
• Creating reusable frameworks, templates and components to improve team efficiency
• Translating complex business problems into practical analytical solutions
• Driving adoption and ongoing enhancement of analytical products
• Working in a highly collaborative, geographically distributed team environment

Your Skills & Experience

• Strong commercial experience developing analytical products and user-facing applications
• Advanced Python development skills
• Experience with technologies such as Shiny for Python, R Shiny, Streamlit, Dash or similar application frameworks
• Ability to take products from idea through to production deployment
• Strong stakeholder engagement and consulting capabilities
• Experience solving ambiguous business problems through data and analytics
• Comfortable working in a hands-on environment with a focus on building and delivering solutions independently
• Experience creating scalable and reusable analytical assets
• Backgrounds focused primarily on backend data engineering or data pipeline development are unlikely to align with the requirements of this role

What They Offer

• Lead salary of £90,000
• 25% bonus opportunity
• 10% pension contribution
• Comprehensive benefits package
• Flexible working with only one day per month required in London
• Opportunity to build impactful analytics products used across a growing business
• Clear scope to influence product strategy, delivery approaches and best practices
• Lead level role offers significant autonomy while remaining fully hands-on

How to Apply
If you have strong experience building analytical products with Python and enjoy working closely with stakeholders to deliver scalable, user-focused solutions, apply today for a confidential discussion.

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Data Scientist/Data Analyst
Windsor/Hybrid
Up to £60,000

This is an exciting opportunity for a Data Scientist to join a growing organisation that is investing heavily in its data and AI capabilities. You’ll play a key role in building a trusted data foundation, improving data quality, and developing analytics solutions that directly influence operational and strategic decision-making.

The Company
They are a well-established organisation undergoing an ambitious data transformation programme. With continued growth plans and significant investment in modern data infrastructure, they are focused on leveraging data to improve business performance and deliver better outcomes across their operations.
Working within a small, collaborative data team, you will have the opportunity to shape how data is collected, managed, and used across the organisation. This is a hands-on role offering broad exposure across data engineering, analytics, AI, and predictive modelling initiatives.

The Role
As a Data Scientist, you will work across a range of projects focused on data quality, analytics, and AI-driven innovation. Responsibilities include:

• Cleaning, standardising, and reconciling data from multiple systems
• Designing and implementing robust data models within a modern cloud data environment
• Developing entity resolution and fuzzy matching solutions to improve record accuracy
• Identifying and resolving data quality issues across fragmented datasets
• Supporting the migration and optimisation of data within Snowflake
• Exploring AI and document processing solutions to extract and structure information from unstructured documents
• Building predictive models to support forecasting, planning, and operational decision-making
• Developing reporting and dashboard solutions in Power BI for business stakeholders
• Partnering with non-technical teams to translate business challenges into analytical solutions
• Contributing to the long-term development of data science and analytics capabilities

Your Skills & Experience

• Strong commercial experience in Data Science, Analytics, or a related field
• Advanced SQL skills and experience working with large datasets
• Experience with data modelling and data quality improvement initiatives
• Knowledge of Snowflake or other modern cloud data platforms
• Experience working with messy, fragmented, or poorly structured data
• Exposure to forecasting, predictive analytics, or statistical modelling
• Experience building dashboards and reports using Power BI
• Understanding of entity resolution, record linkage, or fuzzy matching techniques
• Ability to communicate insights clearly to both technical and non-technical stakeholders
• STEM-related degree or equivalent analytical background

What They Offer

• Salary of £50,000 – £60,000
• Hybrid working arrangement with 3-4 days per week in Windsor
• Opportunity to join a growing data team at an early stage of its journey
• Exposure to modern technologies including Snowflake, AI, and predictive analytics
• Broad project ownership and significant influence on data strategy
• Strong opportunities for learning, development, and career progression
• Collaborative environment where your work will have visible business impact

How to Apply
To find out more about this Data Scientist opportunity in Windsor, please submit your application today. We’d be delighted to discuss the role and provide further details.

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Data Analyst / Data Scientist
Berkshire (Hybrid, 3-4 days onsite) | £50,000 – £60,000
No Sponsorship Offered

This is an excellent opportunity to join a growing organisation investing heavily in its data and analytics capabilities. You’ll play a key role in building trusted data foundations, improving data quality, and developing analytics that support both operational decision-making and future AI initiatives.

The Company

They are a rapidly growing organisation undergoing a major data transformation programme. With a modern cloud-based data platform being built in Snowflake, they are focused on creating high-quality, accessible data that can support reporting, forecasting, automation, and AI-driven innovation. You’ll join a small, collaborative team where your work will have visible business impact.

The Role

You will:

• Improve data quality, standardisation, and reconciliation across multiple systems.
• Build and maintain robust data models within a modern Snowflake environment.
• Work on entity resolution and fuzzy matching to create trusted customer records.
• Develop forecasting and predictive analytics models to support operational planning.
• Create insightful Power BI reporting and dashboards for senior stakeholders.
• Support AI and document processing initiatives, helping automate data extraction and business processes.

Your Skills & Experience

• Strong SQL and data modelling experience.
• Experience working with messy, fragmented datasets and data quality challenges.
• Commercial experience using Snowflake and/or modern cloud data platforms.
• Exposure to forecasting, predictive analytics, or machine learning.
• Power BI reporting and stakeholder-facing analytics experience.
• STEM-related degree and a hands-on, problem-solving mindset.

What They Offer

• Salary of £50,000 – £60,000.
• Hybrid working in Berkshire (3-4 days onsite).
• Opportunity to shape a growing data function from an early stage.
• Exposure to modern data, AI, and predictive analytics projects.
• Clear career progression within a business investing heavily in data and technology.

How to Apply

If you’re a Data Analyst or Data Scientist looking for a role where you can combine data quality, analytics, forecasting, and AI-focused projects, apply today to learn more.

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Senior Analytics Consultant
1 day a month in London | Up to £60,000

This is an opportunity to join a highly commercial data and analytics team where your work will directly influence business decision-making. You’ll take ownership of analytical products from concept to deployment, working closely with senior stakeholders to solve complex challenges and deliver scalable solutions.

The Company

They are a growing professional services organisation that places data-driven decision-making at the heart of its strategy. Their analytics team operates closely with commercial stakeholders, building impactful products that are used across the business to drive better outcomes. With a collaborative and flexible working environment, they offer the opportunity to work on a broad range of business-critical challenges.

The Role

• Partner with senior stakeholders to translate complex business questions into actionable analytics solutions.
• Design, develop and deliver analytical products from initial scoping through to production.
• Build reusable frameworks, templates and tools that improve team efficiency and scalability.
• Develop data visualisation and reporting solutions that support strategic decision-making.
• Contribute to best practices across analytics development, documentation and governance.
• Review and support the work of colleagues, helping to raise technical standards across the team.
• Work within a fast-paced environment where priorities can evolve and change.

Your Skills & Experience

• Strong commercial experience delivering analytical products that have achieved real business adoption.
• Excellent Python skills and experience developing scalable analytics solutions.
• Experience with tools such as Shiny, Streamlit, Dash, Quarto, Git, Azure DevOps or similar technologies.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences.
• Experience building reusable analytics frameworks, components or products.
• Comfortable working with ambiguity and solving complex business problems.
• Consulting, analytics, data science or data product development experience.

What They Offer

• Salary up to £60,000.
• Flexible remote/hybrid working arrangements.
• Exposure to senior stakeholders and high-impact business projects.
• Clear opportunities to shape analytics products and influence technical direction.
• Collaborative and supportive team environment.
• Long-term career development within a growing organisation.

How to Apply

Apply below!
Please note: sponsorship is not available for this position, and applicants must have the right to work in the UK.

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Lead Analytics Consultant
London 1 day in the office | Up to £90,000 + Benefits

This is an opportunity for an experienced analytics professional to step into a leadership role with real influence. You’ll combine hands-on analytics delivery with team leadership, helping shape strategy, drive best practice, and deliver high-impact solutions that support business growth.

The Company

They are a growing professional services organisation that uses data and analytics to drive decision-making across the business. Their analytics function partners closely with senior stakeholders, delivering innovative solutions that create measurable commercial value. With significant investment in data capabilities, they offer a collaborative environment where new ideas are encouraged and implemented.

The Role

• Lead the design, development, and deployment of analytics products and solutions.
• Manage and mentor a team of analytics professionals, supporting technical and professional development.
• Partner with senior stakeholders to define analytics roadmaps and identify opportunities for business impact.
• Drive best practice across analytics development, governance, and delivery.
• Build scalable frameworks, tools, and reusable assets to improve efficiency and consistency.
• Translate complex business challenges into practical, data-driven solutions.
• Contribute to strategic decision-making and help shape the future direction of the analytics function.
• Remain hands-on with technical delivery where required.

Your Skills & Experience

• Strong commercial experience delivering analytics solutions that have achieved business adoption and measurable impact.
• Advanced Python skills with experience developing scalable analytics products.
• Experience with technologies such as Streamlit, Dash, Shiny, Quarto, Git, Azure DevOps, or similar tools.
• Proven ability to lead projects, influence stakeholders, and drive outcomes.
• Experience mentoring, developing, or leading analytics teams.
• Strong communication skills with the ability to engage both technical and non-technical audiences.
• Comfortable operating in a fast-paced, evolving environment.

What They Offer

• Salary up to £90,000.
• Opportunity to shape analytics strategy and technical direction.
• Leadership responsibilities with clear progression opportunities.
• Exposure to senior stakeholders and business-critical projects.
• Supportive and collaborative working environment.

How to Apply

If you’re a hands-on analytics leader looking to make a significant impact while developing a growing analytics capability, apply today.
Please note that sponsorship is not available for this position. Applicants must have the right to work in the UK.

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Lead Consultant

Up to £90,000 + 25% bonus

Remote – London (1x day per month)

This is an opportunity to join a highly commercial analytics consulting team where data is used to influence strategic business decisions and create products that deliver measurable value. You’ll work directly with senior stakeholders, own end-to-end delivery of analytical solutions, and help shape the frameworks and best practices that underpin a growing analytics function. Based on the role brief in

The Company

They are a growing organisation that places data and analytics at the heart of decision-making. Their analytics team operates as a business-facing consultancy, partnering closely with commercial leaders to solve complex challenges and build scalable analytical products. Rather than functioning as a traditional technology team, they focus on delivering practical solutions that drive business outcomes. The environment is collaborative, fast-moving, and offers significant scope to influence both strategy and delivery.

The Role

• Partner with senior business leaders to define complex commercial problems and translate them into actionable analytical solutions.
• Own the delivery of analytics products from initial scoping through to deployment and adoption.
• Develop reusable frameworks, templates, libraries and best practices to improve team efficiency and product scalability.
• Build maintainable and well-documented solutions that can be adopted and developed by others.
• Work across analytics, data visualisation and product delivery to support better business decisions.
• Contribute to technical leadership through code reviews, mentoring and knowledge sharing.
• Operate within an agile and evolving environment where priorities can change quickly.

Your Skills & Experience

• Strong commercial experience delivering analytics products from concept through to business adoption.
• Advanced Python skills and experience building analytical applications or decision-support tools.
• Experience with technologies such as Python, Shiny, Streamlit, Dash, Quarto, Git, Azure DevOps, Docker or comparable tools.
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
• Experience creating reusable components, frameworks or analytics solutions that scale across a business.
• Consulting mindset with a passion for solving varied business problems through data and analytics.
• Comfortable working autonomously within a distributed and remote-first team environment.
• Experience working with ambiguity and translating broad business questions into practical solutions.

What They Offer

• £90,000 base salary.
• 25% annual bonus.
• Remote-first working with just one day per month in London.
• Exposure to senior stakeholders and strategic business initiatives.
• Significant ownership and autonomy over analytical product development.
• Clear opportunities to influence technical direction, ways of working, and team growth.
• Collaborative culture with a strong focus on continuous learning and development.

How to Apply

If you are an experienced Analytics Consultant looking to combine technical expertise with commercial impact, apply now to discuss this opportunity in confidence.

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DATA ANALYST/SCIENTIST
BERKSHIRE/HYBRID
UP TO £60,000

This is an exciting opportunity to join a growing organisation undergoing a major data transformation. You’ll play a key role in building the foundations for advanced analytics, machine learning, AI-driven automation, and predictive modelling, helping the business make better operational and strategic decisions.

ROLES AND RESPONSIBILITIES:
The Data Analyst/Scientist will:

• Build and maintain robust data models to support reporting, analytics, and machine learning initiatives.
• Improve data quality, standardisation, and reconciliation across multiple source systems.
• Develop approaches for entity resolution, fuzzy matching, and record consolidation.
• Support the migration and development of a Snowflake-based data platform.
• Create Power BI dashboards and reporting solutions for operational and leadership teams.
• Develop forecasting models to support planning, performance monitoring, and resource allocation.
• Explore AI and machine learning applications including document processing and information extraction.
• Work with structured and unstructured datasets to create trusted, business-ready data assets.
• Collaborate with stakeholders to translate commercial and operational challenges into analytical solutions.
• Contribute to the development of predictive models focused on risk, performance, and operational optimisation.

Your Skills & Experience

• Strong SQL and data modelling experience.
• Experience working with cloud data platforms, ideally Snowflake.
• Commercial experience working with complex or fragmented datasets.
• Strong understanding of data quality, reconciliation, and master data challenges.
• Experience building analytical, forecasting, or predictive models in Python.
• Power BI reporting and dashboard development experience.
• Exposure to machine learning, AI, or advanced analytics techniques.
• Ability to engage with stakeholders and communicate technical concepts clearly.
• STEM-related degree or equivalent analytical background.

APPLY BELOW

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Data Scientist – Credit Risk
£55-65,000
London

THE COMPANY

This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.

THE ROLE

• Work across a range of credit models within the business, predominantly scorecards and broader decisioning models
• Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
• Own the deployment and implementation of predictive models across the product suite
• Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience developing predictive models, ideally within credit risk
• SQL and Python experience is essential
• Essential to have experience using Machine Learning techniques to develop non-linear models
• Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech

SALARY AND BENEFITS

• Base salary from £55-65,000
• Company pension scheme
• Private medical care
• Equity scheme

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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LEAD ANALYTICS CONSULTANT
LONDON/REMOTE (1 DAY PER MONTH)
UP TO £90,000

This is an opportunity to join a highly commercial analytics team that sits directly within the business rather than a traditional technology function. You’ll work on analytical products that influence decision-making, improve client outcomes, and support growth across a large, fast-growing organisation.

ROLES AND RESPONSIBILITIES:
The Lead Analytics Consultant will:

• Partner with senior stakeholders to translate commercial challenges into analytical solutions.
• Build and deliver end-to-end analytical products used by both internal teams and external clients.
• Develop dashboards, decision-support tools, and software products that generate actionable insights.
• Create reusable frameworks, templates, and components that improve scalability and efficiency.
• Work closely with consultants and client-facing teams to scope requirements and define product roadmaps.
• Build analytical applications using Python and modern data product development practices.
• Present findings and recommendations to both technical and non-technical audiences.
• Support best practices in product development, documentation, and code quality.

Your Skills & Experience:
The ideal candidate will have the following skills and experience:

• Strong commercial experience developing analytical products using Python.
• Experience taking products from initial requirements through to deployment and adoption.
• Ability to work directly with stakeholders and translate business problems into technical solutions.
• Strong communication skills with both technical and non-technical audiences.
• Experience with data visualisation tools such as Power BI or similar platforms.
• Comfortable working in an environment with changing priorities and evolving business requirements.
• A consulting mindset with a focus on delivering practical business outcomes.

APPLY BELOW

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Data Analyst

£55,000-£65,000

Windsor (Hybrid – 3x Days a Week in Office)

Are you a hands-on Data Analyst looking to take the next step in your career, working with complex datasets and building analytical solutions that have a tangible impact on business performance? This is an opportunity to join a growing, private equity-backed care provider investing in its data infrastructure and analytics capabilities. With 23 care homes currently operating across the UK and ambitious plans for further expansion, the business is focused on using data to improve operational performance, support better decision-making and ultimately enhance resident care. You’ll join a small, developing analytics team where you’ll have the opportunity to take ownership of meaningful projects, work across multiple data sources and help build the foundations for more advanced analytics and predictive modelling.

The Company

The business operates a growing portfolio of care homes, supporting residents and their families through high-quality care services. With significant amounts of information held across multiple systems, the organisation is investing in modernising its data environment, improving data quality and creating a more connected view of its operations. The business is transitioning towards a modern data platform using Snowflake, creating opportunities to develop new analytical capabilities, improve reporting and introduce predictive models that support both commercial and operational decisions.

The Role

Working closely with the Head of Analytics and a small technical team, you’ll play a hands-on role in improving the quality, structure and usability of data across the business. Initially, the focus will be on data cleansing, reconciliation and modelling, with opportunities to contribute to forecasting and predictive analytics as the data environment develops.

Key responsibilities will include:

• Data Quality & Remediation: Cleaning, standardising and validating data from multiple source systems, identifying inconsistencies and ensuring information is accurate and reliable.
• Data Modelling: Developing robust analytical data models, including dimensional modelling and star schemas, to support reporting and downstream analytics.
• Identity Resolution: Identifying and reconciling duplicate records across systems, using techniques such as fuzzy matching to create more consistent and reliable datasets.
• Data Warehousing: Supporting the development of the Snowflake data environment, helping ensure data is structured, accessible and ready for analysis.
• Reporting & BI: Building analytical outputs and Power BI dashboards that provide stakeholders with clear visibility of business performance.
• Forecasting & Predictive Analytics: Contributing to models that forecast occupancy, operational performance and resource requirements, helping the business make more informed decisions.
• Advanced Analytics: Supporting emerging initiatives around resident risk modelling, wellbeing indicators and the use of AI to extract structured information from documents.

This is a varied role suited to someone who enjoys getting into the detail of complex datasets, solving data problems and translating analysis into practical business outcomes.

Your Skills & Experience

• Strong SQL skills and experience working with complex datasets.
• Proficiency in Python, particularly for analytical modelling and predictive analytics.
• Experience in data cleansing, data quality, reconciliation and standardisation.
• A good understanding of data modelling principles, ideally including star schemas and dimensional modelling.
• Experience with Power BI or similar visualisation tools.
• Exposure to Snowflake or Databricks would be highly advantageous.
• An interest in forecasting, predictive modelling and applying analytics to real-world business challenges.
• A STEM-related degree is essential.

You’ll be curious, pragmatic and comfortable working in a small team where you’ll need to take ownership, get hands-on and contribute across a range of analytical projects.

The Benefits

• Salary of £55,000-£65,000

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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