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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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Data Scientist
Berkshire | Up to £60,000

This is an excellent opportunity for a Data Scientist to join a growing data and analytics function where you’ll have the chance to work across machine learning, AI, forecasting, and business-critical analytics projects. You’ll take ownership of end-to-end solutions, influence key decision-making, and help shape the future of data within the organisation.

The Company
They are a well-established business investing heavily in data, analytics, and digital transformation. With an expanding data function and ambitious growth plans, they are focused on leveraging advanced analytics and AI to improve operational performance and drive strategic outcomes. The environment is collaborative, fast-paced, and offers genuine opportunities to make an impact.

The Role
You will:

• Develop, test, and deploy machine learning models to solve business challenges.
• Build and optimise data models to support analytics, reporting, and AI initiatives.
• Design and maintain scalable data pipelines, ensuring data quality and reliability.
• Deliver insightful Power BI dashboards and reporting solutions.
• Work closely with stakeholders to translate business requirements into data-driven solutions.
• Support the development of AI-powered applications and process automation initiatives.
• Contribute to best practices across data engineering, governance, testing, and deployment.
• Present findings and recommendations to both technical and non-technical audiences.

Your Skills & Experience

• Strong commercial experience in Data Science, Advanced Analytics, or Data Engineering.
• Hands-on experience developing and deploying machine learning models.
• Experience working with modern cloud data platforms, ideally Snowflake or similar technologies.
• Strong understanding of data modelling and data warehousing principles.
• Experience building dashboards and reporting solutions using Power BI.
• Familiarity with software development lifecycle methodologies and CI/CD practices.
• Strong stakeholder management and communication skills.
• A proactive and solutions-focused approach to problem solving.

How to Apply
If you’re a Data Scientist looking for an opportunity to work on impactful analytics and AI initiatives while progressing your career, apply today to learn more.

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Data Analyst/Scientist

Location: Windsor (3-4 days onsite)
Salary: Up to £60,000

An exciting opportunity for a Data Analyst/Scientist to join a growing organisation and help develop its data and analytics capabilities.

Working within a small team, you will analyse complex datasets, improve data quality and deliver insights to support business decision-making.

Key responsibilities:

• Analysing and interpreting data to identify trends and opportunities.

• Developing data models, reports and dashboards.

• Supporting forecasting and predictive analytics.

• Improving data quality and reporting processes.

• Working with stakeholders to deliver data-driven solutions.

About you:

• Strong SQL and analytical skills.

• Experience in data analysis, modelling or data science.

• Experience with forecasting and predictive analytics.

• Exposure to Power BI and modern data platforms such as Snowflake.

• STEM-related degree.

This is an excellent opportunity for a commercially minded, hands-on individual to join a growing team and make a real impact.

Find out more and apply via the link below!

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Customer Analytics Manager (12-Month FTC)
London – Hybrid, 2 days per week
Up to £70,000 + Benefits

This is an exciting opportunity for a Customer Analytics Manager to take ownership of a well-established customer analytics function within a major consumer-focused organisation. You’ll play a key role in shaping how customer insight influences business strategy, partnering with senior stakeholders to drive customer growth, retention, and commercial performance. As a maternity cover position, this role offers significant visibility and the chance to make an immediate impact.

The Company
They are a well-known consumer brand with a significant multi-channel presence and a large, engaged customer base. Customer insight sits at the heart of their decision-making, and they have invested heavily in developing a sophisticated analytics capability across customer, marketing, data, and AI functions.

Their analytics team has successfully embedded customer-led decision-making across the wider business, helping stakeholders better understand customer behaviour and make more informed commercial decisions. You’ll join a collaborative, insight-driven environment where analytics plays a central role in business strategy.

The Role
As Customer Analytics Manager, you will lead the customer analytics agenda and deliver strategic insight across the customer lifecycle.

Key responsibilities include:

• Owning customer analytics projects across retention, loyalty, profitability, and customer lifetime value.
• Delivering customer reporting, insight packs, and deep-dive analysis for senior stakeholders.
• Developing customer segmentation and profiling frameworks to identify behavioural trends, opportunities, and risks.
• Applying advanced analytical techniques including clustering, predictive modelling, regression analysis, and campaign measurement.
• Translating complex analysis into clear, commercially actionable recommendations.
• Acting as a trusted analytics partner across multiple business functions.
• Supporting and influencing strategic decisions through customer-focused insight.
• Contributing to the ongoing development of customer analytics methodologies and best practices.

Your Skills & Experience
To be successful in this Customer Analytics Manager role, you will have:

• Strong commercial experience in customer analytics, customer insight, or customer strategy.
• Advanced SQL skills and experience with data visualisation tools.
• Experience delivering customer segmentation, clustering, predictive modelling, and regression analysis projects.
• Strong understanding of customer behaviour, retention, loyalty, and lifetime value metrics.
• The ability to communicate complex analytical findings to non-technical stakeholders.
• Experience influencing senior stakeholders and driving data-led decision-making.
• Exposure to team leadership, mentoring, or line management would be advantageous.
• Experience using analytical tools such as SQL, Python, or similar analytics technologies is beneficial.

What They Offer

• Opportunity to lead high-impact customer analytics projects.
• Exposure to senior stakeholders across multiple business functions.
• Collaborative analytics environment with strong investment in data and insight capabilities.
• The chance to further develop leadership and strategic analytics expertise.

How to Apply
If you’re a customer analytics professional looking for a highly visible role where you can shape customer strategy and influence key business decisions, apply today to discuss this opportunity in more detail.

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PRODUCT PROPOSITION MANAGER – MORTGAGES

London (Hybrid) | £70,000 – £90,000 + Bonus + Benefits

A fantastic opportunity for a Product Proposition Manager to join a growing financial services business. You’ll play a key role in shaping product strategy, analysing market trends, and driving commercial performance across their property portfolio.

THE COMPANY

This established financial services organisation is investing heavily in its product function as part of its continued growth strategy. They offer a collaborative environment where Product, Commercial, Finance, Marketing, and Data teams work closely to deliver innovative solutions and strong customer outcomes.

THE ROLE

• Manage and enhance lending propositions across the product lifecycle
• Monitor competitor activity, pricing, and market trends
• Analyse performance data and MI to identify opportunities for growth
• Support product governance and performance monitoring
• Deliver commercial recommendations to optimise product performance
• Partner with stakeholders across Product, Commercial, Finance, Marketing, and Operations
• Support new product launches and proposition enhancements

YOUR SKILLS & EXPERIENCE

• Experience in Product Management, Proposition Management, or Product Pricing within the mortgage space
• Strong commercial and analytical skills
• Experience in priicng analytics and pricing strategy
• Experience using MI and performance reporting to drive decisions
• Advanced stakeholder management and communication skills
• Strong Excel capabilities

WHAT THEY OFFER

• Salary from £70,000 – £90,000 depending on experience
• Discretionary bonus
• Private medical insurance
• Competitive pension
• Hybrid working
• Strong career progression opportunities
• Exposure to senior leadership and strategic initiatives

HOW TO APPLY

Please submit your CV via the application link to be considered for this opportunity.

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Lead / Senior Data Product Consultant

Lead up to £90k
Senior up to £60k
1 day/month in central London

Build products, not dashboards.

We’re partnering with a global professional services organisation undergoing a major data transformation. As part of continued growth, they’re expanding a specialist team focused on building analytics products used by both internal teams and external clients.
This is a unique opportunity for someone who enjoys combining stakeholder engagement, product ownership and hands-on Python development.
You’ll work directly with business users to understand challenges, define requirements and build solutions that help organisations make better decisions through data.

The Role

The team develops analytics and software products that support consulting, benchmarking and business insights.
Examples include:

• Benchmarking platforms
• Assessment and diagnostic tools
• Interactive reporting products
• Client-facing analytics applications
• Decision-support tools used by consultants and commercial teams

You’ll own products from concept to delivery, working across discovery, design, development and ongoing enhancement.
This is not a traditional BI or reporting role.

What You’ll Be Doing

• Engaging with stakeholders to understand business challenges and opportunities
• Running discovery sessions and gathering requirements
• Translating business needs into scalable product solutions
• Designing and building Python-based applications and analytics products
• Creating user-facing tools using technologies such as Streamlit, R Shiny, Dash or similar
• Delivering reporting and visualisation solutions where appropriate
• Presenting solutions and recommendations to technical and non-technical audiences
• Driving product adoption through user feedback and continuous improvement

Lead Consultants Will Also:

• Own product strategy and roadmap decisions
• Take responsibility for end-to-end product delivery
• Influence the direction of the wider analytics product function

What We’re Looking For

Essential

• Strong hands-on Python development experience
• Experience building applications, tools or data products
• Proven ability to take solutions from idea through to delivery
• Excellent stakeholder management and requirements gathering skills
• Ability to translate business problems into technology solutions
• Strong communication and consulting skills

Desirable

• Streamlit, R Shiny, Dash or similar frameworks
• Power BI or other visualisation tools
• Product ownership or product management experience
• Analytics engineering experience
• SQL knowledge
• Experience within consulting, financial services, insurance, technology or other enterprise environments

Why Join?

You’ll join a growing team building products that are strategically important to the business. You’ll have genuine ownership, exposure to senior stakeholders and the opportunity to create solutions used across a large enterprise and its client base. If you enjoy solving business problems, working directly with stakeholders and building products people actually use, we’d love to hear from you.

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Operations Analytics Lead

£90,000-£100,000 + Bonus

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

The Company

A leading global fintech is looking for an Operations Analytics Lead to join a high-performing Data & Insights function. This is a fast-moving, technology-led financial services business with a strong focus on data, digital products and improving customer experiences. The Operations function spans areas including Customer Experience, KYC and Client Onboarding, Payments, Transaction Reporting and AI Operations; Analytics sits at the heart of how the business measures performance, identifies opportunities and makes strategic decisions.

The Role

This is a senior, hands-on analytics leadership position combining people management, strategic thinking and technical delivery. You’ll lead a team of around 4-5 analysts, while remaining approximately 60% hands-on yourself. The team has an existing roadmap, but this role will bring greater structure and prioritisation, helping move the function away from reactive requests towards a more strategic, commercially focused approach. You’ll work closely with senior stakeholders across Operations, challenging priorities, defining the right questions and using data to influence decisions. A major part of the role will be around AI and automation. You’ll help measure the impact of AI-enabled operational tools, support the development of internal copilots and ensure that AI initiatives are backed by robust analytical frameworks. You’ll also work across areas such as workforce analysis, customer-service operations, KYC and operational efficiency.

Your Skills & Experience

• Proven experience managing an analytics team
• Strong SQL skills
• Strong statistical understanding, including A/B testing, experimentation and statistical significance.
• Experience developing analytical frameworks and using data to influence business strategy.
• Comfortable being hands-on while also setting direction and influencing senior stakeholders.
• Practical experience using AI tools such as Copilot or Claude to improve processes or analytical workflows.
• Experience within financial services, fintech or another regulated environment is highly desirable.
• Python experience is preferred.
• Experience with dbt, Airflow and Git would be advantageous.
• Experience with Looker, Tableau or another enterprise BI platform.
• Background in operational analytics, workforce management, customer service, KYC or similar environments would be beneficial.
• The ability to turn a reactive analytics function into a more structured, prioritised roadmap.

The Benefits

• £90,000-£100,000
• 15-25% bonus

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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Senior Digital Analyst – Implementation

£50,000-£60,000 + 10% Bonus

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

Sponsorship – Available

Are you a technically minded Digital Analytics specialist with strong Adobe implementation experience? This is an opportunity to take ownership of a major analytics transformation, modernising tracking infrastructure across multiple digital products for a global live entertainment and ticketing business. With significant investment in its analytics capabilities, the business is looking for someone who can get hands-on with complex implementations, improve data quality and help shape the future of its global digital analytics function!

The Company

A leading global ticketing and live entertainment platform, working with major venues, promoters and sporting organisations across the UK, Europe and North America. Operating at significant scale, the business combines ticketing technology with rich first-party customer data, digital marketing and fan engagement. As it continues to invest in its global analytics capabilities, there is a real opportunity to influence how data is collected, governed and used across its digital platforms.

The Role

As the Senior Digital Analyst, you will play a key role in transforming the organisation’s digital analytics infrastructure. You’ll take ownership of hands-on technical implementation, helping rebuild the data layer across eight digital products while supporting the migration from legacy Adobe Analytics implementations to the modern Adobe Experience Platform Web SDK. This is a technically focused position where you’ll need to be comfortable leading large-scale implementations, troubleshooting complex tracking issues and working through legacy environments to deliver reliable, scalable solutions.

Key responsibilities include:

• Lead large-scale digital analytics and tagging implementations across multiple digital products.
• Own data layer design, implementation, testing and quality assurance.
• Implement and maintain Adobe Analytics tracking, Adobe Launch configurations and tracking pixels.
• Support the migration from legacy tracking infrastructure to Adobe Experience Platform Web SDK (Alloy.js).
• Troubleshoot implementation issues and improve the accuracy and reliability of digital data.
• Work closely with Product, Marketing Technology and Analytics teams to deliver robust tracking solutions.
• Establish technical documentation, implementation standards and best practices.
• Support marketing attribution, reporting and the wider analytics transformation programme.
• Contribute to the future roadmap, including potential server-side tracking and broader data integration.
• Provide technical support to junior team members and help strengthen implementation capability as the global function grows.

Your Skills & Experience

• Strong hands-on experience implementing Adobe Analytics in a complex digital environment.
• Proven experience with Adobe Launch
• Strong JavaScript skills, particularly in relation to tracking implementation and debugging.
• Experience designing and implementing data layers, tags and tracking pixels.
• Experience leading or delivering large-scale digital analytics implementations.
• Exposure to Adobe Experience Platform Web SDK (Alloy.js), ideally including migration from legacy implementations.
• The ability to take ownership of technical delivery and work confidently with Product, Marketing Technology and commercial stakeholders.
• A detail-oriented approach, with the ability to navigate complex or outdated tracking environments.

The business is particularly interested in technically strong implementation specialists, although candidates with broader digital analytics experience will also be considered where they have demonstrable hands-on technical expertise.

The Benefits

• £60,000-£70,000
• Bonus – 10%

How to Apply

Please register your interest by sending your CV via the Apply link on this page. Visa sponsorship available for eligible candidates.

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