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HEAD OF DATA SCIENCE – CREDIT RISK
£120,000-140,000 (dependent on experience)
London – 3 days in office

Great opportunity with a scaling FinTech lender in the UK. This business offer a fast-paced and driven work environment, with a really collaborative team culture that encourages employee development and growth.

THE COMPANY

This dynamic and fast-paced lender is seeking a driven and experienced individual to join their team to own their modelling function, across credit risk, collections, fraud and more. You’d work as an Individual Contributor to lead the Data Science function to make an impact on business performance.

THE ROLE

• Develop 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 implementation and impact of predictive models across the product suite

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience developing predictive models
• SQL and Python experience is essential
• Highly desirable to have had experience in Consumer Lending and a strong understanding of the credit lifecycle
• Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech is a plus

SALARY AND BENEFITS

• Base salary from £120-140,000 depending on experience
• Private medical care
• 25 days holiday
• Cycle to work scheme

HOW TO APPLY

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

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Senior Data Engineer

Location: Dallas/Addison, TX (Hybrid – 3 Days Onsite)

Salary: $140,000-$160,000 Base

About the Opportunity

We are partnering with a growing, private equity-backed organization seeking a Senior Data Engineer to help build and scale its enterprise data infrastructure.

The company is undergoing a significant data modernization initiative, transitioning from fragmented systems and reporting environments to a centralized data platform built on Snowflake.

This individual will work alongside an external consulting partner during the initial implementation before taking full ownership of the backend data environment. This is an excellent opportunity for a hands-on engineer who enjoys building scalable solutions, driving data quality improvements, and working closely with business stakeholders.

Key Responsibilities

• Lead the development, optimization, and ongoing management of the Snowflake data warehouse environment.
• Partner with external consultants during implementation and transition into primary technical ownership of the platform.
• Design, build, and maintain scalable ETL/ELT pipelines, data integrations, and transformations using SQL, Python, and modern data engineering tools.
• Improve data integrity, consistency, and governance across multiple business systems and departments.
• Collaborate with technical and nontechnical stakeholders to translate business requirements into scalable data solutions.
• Support data architecture, modeling, documentation, and integration with BI platforms such as Domo.
• Help establish data engineering best practices and support future analytics and AI initiatives.

Required Qualifications

• 7+ years of experience in Data Engineering, Data Warehousing, or related disciplines.
• Strong hands-on experience with Snowflake, SQL, and Python.
• Experience building and maintaining ETL/ELT pipelines, data models, and warehouse environments.
• Exposure to data warehouse implementations, migrations, or modernization projects.
• Strong understanding of data quality, integration, and architecture best practices.
• Ability to independently own technical projects and communicate effectively with nontechnical stakeholders.

Preferred Qualifications

• Experience with dbt, Fivetran, or similar data transformation and ingestion tools.
• Familiarity with Domo or other BI/reporting platforms.
• Experience integrating data from ERP, operational, or field service management systems.
• Background in smaller data teams, high-growth businesses, or PE-backed organizations.
• Exposure to data governance, medallion architecture, or AI/ML infrastructure.

Why Consider This Opportunity?

• Technical Ownership: Take ownership of a modern enterprise data platform from implementation through long-term development.
• Greenfield Opportunity: Help shape the architecture, processes, and standards of a growing data environment.
• Business Impact: Work directly with stakeholders and influence how data drives business decisions.
• Growth Potential: Opportunity to expand into technical leadership and contribute to future AI initiatives.

Work Authorization: Must be authorized to work in the U.S. without current or future sponsorship.

If you’re a hands-on Data Engineer looking for an opportunity to build, own, and scale a modern data environment, we’d love to hear from you!

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This is an exciting opportunity for an experienced qualitative research leader to join a growing insights and research business operating within the healthcare and life sciences sector. The role combines strategic client leadership, operational excellence, and people management, offering significant scope to shape team performance and client outcomes.

The Company
They are a well-established international research and insights organisation supporting clients across healthcare, pharmaceutical, biotech, and life sciences industries. Their work helps organisations make informed commercial and strategic decisions through high-quality research and consultancy services. With a collaborative and supportive culture, they are committed to delivering exceptional client outcomes while investing in the development of their people.

The Role
As Associate Director, Qualitative Research, you will lead a team responsible for delivering complex qualitative research projects for healthcare and pharmaceutical clients.
Key responsibilities include:

• Leading, coaching, and developing a team of qualitative research professionals
• Managing team performance, workload allocation, and professional development
• Building and maintaining strong relationships with healthcare, pharmaceutical, and life sciences clients
• Overseeing end-to-end project delivery, ensuring projects are delivered on time, within budget, and to a high standard
• Managing project escalations and driving solutions to operational challenges
• Partnering with senior stakeholders to improve processes, systems, and service delivery
• Supporting commercial performance, project profitability, and client retention
• Driving client service excellence across key accounts
• Identifying opportunities to enhance operational efficiency and team effectiveness
• Contributing to the development of best practice standards across research operations

Your Skills & Experience

• Strong qualitative market research experience within healthcare, pharmaceutical, medical device, biotech, or life sciences sectors
• Proven people management experience, including coaching, mentoring, and performance management
• Leading complex research projects from initiation through to delivery
• Experience managing client relationships and providing consultative support to stakeholders
• Strong project delivery and operational management capabilities
• Commercial awareness with an understanding of project profitability and client account management
• Good communication and stakeholder management skills
• Ability to work collaboratively across multiple teams and functions

What They Offer

• Performance-related bonus
• Clear progression opportunities into senior leadership roles

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Data Analyst

This is an opportunity to join a PE-backed business building its data and analytics capability. You’ll work across data science, machine learning, and data modelling projects that support operational and commercial decision-making.

They are investing in data, AI, and cloud technologies to improve processes and support growth. The analytics team works closely with stakeholders across the business to deliver reporting, forecasting, and machine learning solutions.

The Role
You will:

• Clean, transform, and prepare data from multiple sources
• Build and maintain data models within a cloud data platform
• Develop predictive models for workforce, occupancy, and operational forecasting
• Work with Snowflake or Databricks to support analytics and machine learning use cases
• Create features and datasets for modelling and reporting
• Deploy and monitor machine learning models
• Support data quality, governance, and documentation
• Partner with stakeholders to identify and deliver analytical solutions

Your Skills & Experience

• Strong Python skills, commercial experience in advanced analytics
• Experience with data wrangling and data cleaning
• Experience designing and maintaining data models
• Experience working with Snowflake and/or Databricks
• Knowledge of predictive modelling, forecasting, and classification techniques
• Experience working with cloud-based data environments
• Ability to work with both technical and non-technical stakeholders

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This is an opportunity to lead a high-impact analytics function within a complex, data-rich environment. You will shape the data and insights strategy, influence senior decision-making, and build a best-in-class analytics capability that supports operational performance and business growth.

The Company
They are a fintech where data plays a critical role in driving operational excellence, customer outcomes, and strategic decision-making across the business.
With significant investment in analytics, reporting, and automation, they are looking for an experienced leader who can bring together data, technology, and commercial insight to deliver measurable business impact.

The Role
As the Operations Analytics & Insight Lead, you will be responsible for setting the direction of the analytics function while leading and developing a high-performing team.

You will:

• Define and deliver the data and insights strategy for the operations function.
• Lead, coach, and develop a team of analysts, creating a culture of high performance and continuous improvement.
• Act as the senior analytics partner to leadership teams, providing insight that drives business decisions.
• Establish and maintain trusted operational KPIs, reporting frameworks, and measurement standards.
• Design and oversee analytical approaches for major transformation and optimisation initiatives.
• Translate complex business challenges into structured analytical solutions and actionable recommendations.
• Drive best practice across SQL development, reporting, analytics, and data governance.
• Champion self-service reporting and scalable data solutions to improve business efficiency.
• Work closely with senior stakeholders to influence strategic priorities through evidence-based decision-making.

Your Skills & Experience

• Strong experience leading a Data, Analytics, or Insights team within a commercial environment.
• Proven people management experience, including mentoring, coaching, and developing analysts.
• Advanced SQL skills and the ability to work confidently with large, complex datasets.
• Experience with modern cloud data platforms such as BigQuery, Snowflake, Redshift, or similar.
• Strong understanding of experimentation, statistical analysis, performance measurement, and KPI development.
• Experience with data visualisation tools such as Tableau, Looker, or Power BI.
• Ability to communicate complex analytical findings to senior and executive stakeholders.
• Commercial mindset with a track record of using data to influence business outcomes.
• Python experience for analysis or automation would be advantageous.

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Data Scientist
Windsor – 3-4 days per week
Up to £60,000

This is an exciting opportunity to join a growing organisation at a pivotal stage in its data and AI journey. You’ll play a key role in building a modern analytics capability from the ground up, helping to transform fragmented data into actionable insight while contributing to innovative machine learning, forecasting, and AI initiatives.

The Company
They are a well-established organisation undergoing significant growth and investment in data, analytics, and technology. With an ambitious transformation programme underway, they are modernising their data infrastructure and building a scalable cloud-based platform to support future growth.

Their focus is on improving decision-making through high-quality data, predictive analytics, and AI-enabled applications. Working in a small, collaborative team, you’ll have the opportunity to influence strategy, shape solutions, and see your work deliver tangible business impact.

The Role
As a Data Scientist, you will work closely with senior stakeholders to develop data products, analytical models, and AI-driven solutions that support both operational and commercial objectives.

Key responsibilities include:

• Designing and implementing scalable data models within a modern cloud data platform
• Improving data quality, standardisation, and reconciliation across multiple source systems
• Performing entity resolution and fuzzy matching to create trusted records and improve data integrity
• Developing forecasting models to support business performance, resource planning, and operational decision-making
• Building machine learning and predictive analytics solutions across a range of business challenges
• Supporting AI-driven document processing and information extraction initiatives
• Creating insightful Power BI dashboards and reports for senior leadership teams
• Working with Snowflake to support data warehousing and analytical modelling activities
• Contributing to data governance, testing, and quality assurance processes
• Collaborating with technical and non-technical stakeholders to translate business challenges into analytical solutions

Your Skills & Experience

• Strong commercial experience in Data Science, Advanced Analytics, Analytics Engineering, or a similar field
• Excellent SQL skills and experience working with large, complex datasets
• Experience building data models for analytics and reporting
• Exposure to forecasting, predictive modelling, machine learning, or statistical analysis
• Experience working with data quality improvement, reconciliation, or fragmented datasets
• Knowledge of Power BI for reporting and stakeholder-facing analytics
• Experience working within modern cloud data environments, ideally Snowflake
• Understanding of data warehousing concepts and analytical data modelling
• Strong communication skills with the ability to engage business stakeholders
• STEM-related academic background

Desirable experience:

• Snowflake Cortex, AI applications, or document processing solutions
• Databricks or similar cloud analytics platforms
• CI/CD, Azure DevOps, or software development lifecycle processes
• Identity resolution, record matching, or master data management initiatives

What They Offer

• Opportunity to work on AI, machine learning, forecasting, and data platform projects
• Exposure to senior stakeholders and business-critical initiatives
• A collaborative environment where your work will directly influence business outcomes
• Clear opportunity to grow alongside a rapidly expanding organisation and analytics function

How to Apply
To find out more about this Data Scientist opportunity in Windsor, please submit your application today.

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Senior Data Scientist, Marketing
Fully Remote (UK)
Up to £90,000

This is an opportunity to play a pivotal role in shaping marketing investment decisions within a fast-growing digital business. You’ll combine advanced marketing measurement, experimentation, and predictive modelling to influence how significant acquisition budgets are allocated, delivering clear commercial impact across the organisation.

The Company
They are a rapidly growing digital marketplace with a strong consumer brand and a mission-led culture. Operating internationally, they connect customers with unique experiences through a network of independent partners and suppliers. The business is investing heavily in marketing growth and is looking for a Senior Data Scientist to ensure investment decisions are evidence-based, measurable, and commercially effective. Their remote-first environment combines flexibility with a strong emphasis on collaboration, ownership, and data-driven decision making.

The Role
As a Senior Data Scientist specialising in Marketing Analytics and Measurement, you will work closely with senior stakeholders across Data and Marketing to improve marketing effectiveness and customer acquisition performance.

Responsibilities include:

• Owning and developing Marketing Mix Models (MMM) to evaluate channel performance, diminishing returns, and budget allocation decisions.
• Designing and analysing incrementality experiments, including conversion lift studies, geo experiments, and holdout testing.
• Improving marketing measurement and attribution frameworks in an increasingly privacy-focused digital landscape.
• Building and maintaining Customer Lifetime Value (LTV) models to support acquisition, retention, and bidding strategies.
• Applying statistical and causal inference techniques to distinguish genuine business impact from correlation.
• Translating complex analytical outputs into clear recommendations for commercial and marketing stakeholders.
• Using AI tools and workflows to accelerate analysis, experimentation, and insight generation while maintaining rigorous analytical standards.
• Collaborating with cross-functional teams to establish best practices in experimentation and measurement.

Your Skills & Experience

• Strong commercial experience in marketing measurement, including Marketing Mix Modelling, incrementality testing, lift studies, or geo experimentation.
• Advanced statistical knowledge covering causal inference, experimental design, hypothesis testing, regression analysis, and sample sizing.
• Strong SQL and Python capabilities within modern cloud-based analytics environments.
• Experience working with tools such as Snowflake, dbt, and contemporary analytics platforms.
• Understanding of paid media measurement, attribution methodologies, and privacy-related tracking limitations.
• Ability to communicate technical concepts to non-technical stakeholders and influence strategic decision making.
• Experience using AI-enabled workflows to improve analytical efficiency and scalability.
• Exposure to Bayesian modelling, value-based bidding, LTV modelling, marketplace businesses, or travel-related sectors would be beneficial.

What They Offer

• Annual performance-based bonus.
• Remote working support and workspace allowance.
• Access to regular company meetups and team events.
• Employee discounts and additional benefits.
• The opportunity to shape marketing measurement strategy during a period of significant growth and investment.

If you’re a commercially minded Senior Data Scientist with expertise in marketing measurement, experimentation, and modelling, apply today to learn more about this exciting opportunity.

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Operations Analytics & Insight Lead
London (Hybrid – 3x a week)
Up to £100,000 + up to 25% bonus

This is an excellent opportunity for an experienced analytics leader to shape the future of operational analytics within a highly data-driven, technology-led business. Combining strategic influence, people leadership, and hands-on analytical delivery, the role offers significant exposure to senior stakeholders and the chance to drive meaningful impact through AI, automation, and operational transformation.

The Company
Our client is a well-established international technology business with a large and engaged customer base. They operate in a fast-paced, highly regulated environment where data and analytics are central to commercial decision-making and operational excellence.

The organisation has made significant investment in its data capabilities and is continuing to expand how analytics supports business performance. With ambitious growth plans and a strong culture of innovation, they offer an environment where analytical thinking is highly valued and where teams are empowered to drive change.

The Role
As the Operations Analytics & Insight Lead, you will lead a team of analytics professionals while defining the analytical strategy that supports operational performance across customer service, onboarding, operational efficiency, and AI-enabled processes.

You will:

• Lead, coach and develop a team of analysts while fostering high analytical standards.
• Define and deliver the operational analytics strategy, aligning analytical priorities to business objectives.
• Partner with senior stakeholders to influence decision-making and shape the analytics roadmap.
• Establish measurement frameworks and trusted performance metrics across operations.
• Deliver hands-on analysis, including experimentation, statistical testing, and operational performance assessment.
• Identify process inefficiencies and drive automation initiatives to improve scalability.
• Develop self-service reporting and reduce reliance on ad hoc analysis.
• Support AI and chatbot initiatives through analytical insight, measurement frameworks, and operational context development.
• Evaluate the effectiveness of automation, customer service deflection, workforce management, onboarding, and operational transformation programmes.
• Champion best practices across analytics delivery, experimentation, governance, and data quality.

Your Skills & Experience
You will bring:

• Strong experience leading analytics or insights teams in a commercial environment.
• Proven people management capability and a passion for developing analytical talent.
• Advanced SQL skills with the ability to remain hands-on when required.
• Strong statistical knowledge, including experimentation, significance testing, and measurement design.
• Experience influencing senior stakeholders and translating business challenges into analytical solutions.
• Strong commercial experience working with operational, customer service, workforce management, onboarding, or process optimisation analytics.
• Practical experience applying AI, Copilot, LLMs, or automation technologies to improve business processes.
• Strong understanding of modern analytics and data platforms.

Experience with the following would be beneficial:

• dbt, Airflow and Git.
• Looker or similar BI tools.
• Python for analysis or automation.
• Experience within fintech, financial services, or another regulated industry.

What They Offer

• High levels of exposure to senior leadership and strategic decision-making.
• Ownership of a growing analytics function with the opportunity to shape team direction and ways of working.
• Significant involvement in AI, automation, and operational transformation initiatives.
• Ongoing professional development and career progression opportunities.

How to Apply
If you’re an analytics leader who enjoys combining strategic influence, people leadership, and hands-on delivery, apply today to learn more about this exciting Operations Analytics & Insight Lead opportunity.

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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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HEAD OF DATA SCIENCE

SALARY BETWEEN £120,000 – £140,000 + EQUITY

HYBRID WORKING (3 DAYS A WEEK IN-OFFICE)

LONDON

Harnham are working with a high-growth fintech business that is transforming the customer lending journey through a highly digital, data-led platform. This is a rare opportunity for an experienced data science leader to take ownership of modelling strategy while remaining hands-on in delivery.

THE COMPANY

This high-growth fintech is reshaping the customer lending experience through a digital-first platform, leveraging advanced data science, AI and automation to deliver faster, smarter decisions for customers. With a strong focus on technology and innovation, the business has embedded machine learning and AI across multiple areas of the organisation and continues to invest heavily in its data capabilities as it scales. This is an opportunity to join a collaborative and ambitious environment where data science sits at the heart of business strategy and product development.

THE ROLE

This is a highly impactful individual contributor role with strategic responsibility for the direction of data science. You will own the development of predictive models, AI solutions and decisioning capabilities that directly influence customer outcomes and commercial performance.

Specifically, you can expect to be involved in:

• Developing and enhancing predictive machine learning models for decisioning, risk and recommendation use cases.
• Building and deploying AI and agent-based solutions into production environments.
• Designing data science strategies that balance customer experience, operational efficiency and commercial objectives.
• Working closely with product, engineering and business stakeholders to deliver measurable impact.
• Driving experimentation, monitoring model performance and identifying new opportunities for advanced analytics.

SKILLS AND EXPERIENCE

The successful Head of Data Science must have the following skills and experience:

• Proven experience building and deploying machine learning models in commercial environments.
• Strong Python and SQL skills with experience working across modern cloud-based data platforms.
• Practical experience with AI agents, LLM applications or agentic workflows.
• Background within consumer-focused businesses where recommendation, decisioning or personalisation models have been applied.
• Experience operating in fast-paced, evolving environments with a hands-on approach to delivery.
• Strong academic background in a STEM subject such as Computer Science, Engineering, Mathematics or a related discipline.

BENEFITS

The successful Head of Data Science will receive a salary between £120,000 – £140,000 plus equity.

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