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Data Scientist

Merseyside (3 days per week) | Up to £55,000

Looking to make a tangible impact with Data Science in a business that is investing heavily in data and AI? This is an opportunity to join a growing team at a pivotal stage in its transformation, helping to build scalable machine learning solutions that drive real commercial outcomes. You’ll work closely with senior stakeholders and play a key role in shaping how Data Science is embedded across the organisation.

The Company

They are a well-established consumer-focused organisation undergoing a significant data and AI transformation. With strong investment in technology, analytics, and customer insight capabilities, they are building a modern Data Science function focused on delivering measurable business value.

The team is moving beyond ad hoc analytics towards scalable, production-ready machine learning solutions. Data is at the heart of strategic decision-making, creating an exciting environment for a commercially minded Data Scientist to make an impact.

The Role

As a Data Scientist, you will work closely with Data Science leadership, engineers, analysts, and business stakeholders to develop and deploy machine learning solutions across a range of customer and commercial use cases.

Responsibilities include:

• Building, validating, and deploying predictive and machine learning models
• Developing customer segmentation and customer lifetime value models
• Supporting forecasting initiatives to improve commercial planning
• Delivering targeted customer and personalisation use cases
• Working across the full Data Science lifecycle from problem definition through to production deployment
• Collaborating with technical and non-technical stakeholders to translate business challenges into analytical solutions
• Contributing to the development of a scalable Data Science platform and best practice framework
• Presenting insights and recommendations clearly to business audiences

Your Skills & Experience

• Strong commercial experience in Data Science and machine learning
• Excellent Python skills, with SQL expertise
• Experience delivering end-to-end Data Science projects from development to deployment
• Knowledge of statistical modelling, forecasting, and predictive analytics techniques
• Experience communicating technical concepts to non-technical stakeholders
• Ability to work in a collaborative, business-focused environment
• Exposure to cloud technologies such as GCP or Azure is advantageous
• Experience with Vertex AI, Azure ML, or similar machine learning platforms is beneficial

What They Offer

• Salary up to £55,000
• Hybrid working with 3 days per week in Knowsley
• Opportunity to join a growing Data Science team at an early stage of its journey
• Exposure to high-profile customer and commercial projects
• Significant opportunity to influence tooling, processes, and best practice
• Ongoing professional development and career progression opportunities
• Inclusive and collaborative working environment

How to Apply

• If you’re a Data Scientist who enjoys solving real business problems with data and wants to help shape a growing machine learning capability, apply today to find out more.

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Lead Data Scientist
Base salary: $140,000 – $150,000

Overview

A leading enterprise organisation is seeking a senior-level Data Scientist to lead the development, validation, and implementation of advanced quantitative models in a highly regulated environment. This role will serve as a technical leader, partnering with business and executive stakeholders to identify financial opportunities, quantify outcomes, and drive data-driven decision making.
The successful candidate will bring deep expertise in risk and financial modelling, strong statistical and mathematical foundations, and the ability to independently deliver complex analytics projects from concept through deployment and governance review.

Key Responsibilities

• Design, develop, validate, and monitor advanced predictive and risk models.
• Analyse large-scale financial, transactional, and customer datasets.
• Apply machine learning and statistical techniques to solve complex business problems.
• Translate model insights into measurable financial impact and business recommendations.
• Lead analytics initiatives from problem definition through implementation and performance tracking.
• Present technical findings and strategic recommendations to senior leadership and executive stakeholders.
• Support model governance activities, regulatory reviews, and external audit processes.
• Collaborate with cross-functional teams to ensure models are aligned with business objectives and compliance requirements.
• Provide technical guidance and mentorship to peers and junior team members.

Required Qualifications

• 8+ years of experience in Data Science, Quantitative Analytics, Risk Analytics, or a related discipline.
• Advanced proficiency in Python and SQL.
• Strong expertise in data modelling, statistical analysis, and quantitative problem solving.
• Experience developing and evaluating gradient boosting and other predictive modelling techniques.
• Proven ability to independently own and drive complex analytical projects.
• Exceptional communication and presentation skills, including experience presenting to executive audiences.
• Demonstrated experience defending models during audits, reviews, or governance assessments.
• Background in financial or risk modelling within a regulated industry.

Required Domain Experience

Candidates should have experience in one or more of the following areas:

• Credit risk modelling
• Financial forecasting and modelling
• Loss estimation and assessment
• Probability of Default (PD) modelling
• Risk scorecard development
• Payment and behavioural modelling
• Credit attribute modelling
• Banking, lending, consumer credit, mortgage, or credit bureau data
• Financial impact analysis
• Risk analytics within regulated financial institutions

Preferred Qualifications

• Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Economics, Computer Science, Engineering, or a related field.
• Master’s degree in Data Science, Statistics, Applied Mathematics, Economics, or a similar quantitative discipline preferred.
• Advanced academic training with significant mathematical and statistical coursework.

Work Model / Location / Engagement Details

• Hybrid work arrangement requiring onsite attendance four days per week (Monday through Thursday).

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Lead Data Scientist
Base salary: $140,000 – $150,000

Overview

A leading enterprise organisation is seeking a senior-level Data Scientist to lead the development, validation, and implementation of advanced quantitative models in a highly regulated environment. This role will serve as a technical leader, partnering with business and executive stakeholders to identify financial opportunities, quantify outcomes, and drive data-driven decision making.
The successful candidate will bring deep expertise in risk and financial modelling, strong statistical and mathematical foundations, and the ability to independently deliver complex analytics projects from concept through deployment and governance review.

Key Responsibilities

• Design, develop, validate, and monitor advanced predictive and risk models.
• Analyse large-scale financial, transactional, and customer datasets.
• Apply machine learning and statistical techniques to solve complex business problems.
• Translate model insights into measurable financial impact and business recommendations.
• Lead analytics initiatives from problem definition through implementation and performance tracking.
• Present technical findings and strategic recommendations to senior leadership and executive stakeholders.
• Support model governance activities, regulatory reviews, and external audit processes.
• Collaborate with cross-functional teams to ensure models are aligned with business objectives and compliance requirements.
• Provide technical guidance and mentorship to peers and junior team members.

Required Qualifications

• 8+ years of experience in Data Science, Quantitative Analytics, Risk Analytics, or a related discipline.
• Advanced proficiency in Python and SQL.
• Strong expertise in data modelling, statistical analysis, and quantitative problem solving.
• Experience developing and evaluating gradient boosting and other predictive modelling techniques.
• Proven ability to independently own and drive complex analytical projects.
• Exceptional communication and presentation skills, including experience presenting to executive audiences.
• Demonstrated experience defending models during audits, reviews, or governance assessments.
• Background in financial or risk modelling within a regulated industry.

Required Domain Experience

Candidates should have experience in one or more of the following areas:

• Credit risk modelling
• Financial forecasting and modelling
• Loss estimation and assessment
• Probability of Default (PD) modelling
• Risk scorecard development
• Payment and behavioural modelling
• Credit attribute modelling
• Banking, lending, consumer credit, mortgage, or credit bureau data
• Financial impact analysis
• Risk analytics within regulated financial institutions

Preferred Qualifications

• Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Economics, Computer Science, Engineering, or a related field.
• Master’s degree in Data Science, Statistics, Applied Mathematics, Economics, or a similar quantitative discipline preferred.
• Advanced academic training with significant mathematical and statistical coursework.

Work Model / Location / Engagement Details

• Hybrid work arrangement requiring onsite attendance four days per week (Monday through Thursday).

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Lead Data Scientist
Base salary: $140,000 – $150,000

Overview

A leading enterprise organisation is seeking a senior-level Data Scientist to lead the development, validation, and implementation of advanced quantitative models in a highly regulated environment. This role will serve as a technical leader, partnering with business and executive stakeholders to identify financial opportunities, quantify outcomes, and drive data-driven decision making.
The successful candidate will bring deep expertise in risk and financial modelling, strong statistical and mathematical foundations, and the ability to independently deliver complex analytics projects from concept through deployment and governance review.

Key Responsibilities

• Design, develop, validate, and monitor advanced predictive and risk models.
• Analyse large-scale financial, transactional, and customer datasets.
• Apply machine learning and statistical techniques to solve complex business problems.
• Translate model insights into measurable financial impact and business recommendations.
• Lead analytics initiatives from problem definition through implementation and performance tracking.
• Present technical findings and strategic recommendations to senior leadership and executive stakeholders.
• Support model governance activities, regulatory reviews, and external audit processes.
• Collaborate with cross-functional teams to ensure models are aligned with business objectives and compliance requirements.
• Provide technical guidance and mentorship to peers and junior team members.

Required Qualifications

• 8+ years of experience in Data Science, Quantitative Analytics, Risk Analytics, or a related discipline.
• Advanced proficiency in Python and SQL.
• Strong expertise in data modelling, statistical analysis, and quantitative problem solving.
• Experience developing and evaluating gradient boosting and other predictive modelling techniques.
• Proven ability to independently own and drive complex analytical projects.
• Exceptional communication and presentation skills, including experience presenting to executive audiences.
• Demonstrated experience defending models during audits, reviews, or governance assessments.
• Background in financial or risk modelling within a regulated industry.

Required Domain Experience

Candidates should have experience in one or more of the following areas:

• Credit risk modelling
• Financial forecasting and modelling
• Loss estimation and assessment
• Probability of Default (PD) modelling
• Risk scorecard development
• Payment and behavioural modelling
• Credit attribute modelling
• Banking, lending, consumer credit, mortgage, or credit bureau data
• Financial impact analysis
• Risk analytics within regulated financial institutions

Preferred Qualifications

• Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Economics, Computer Science, Engineering, or a related field.
• Master’s degree in Data Science, Statistics, Applied Mathematics, Economics, or a similar quantitative discipline preferred.
• Advanced academic training with significant mathematical and statistical coursework.

Work Model / Location / Engagement Details

• Hybrid work arrangement requiring onsite attendance four days per week (Monday through Thursday).

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Senior Analytics Consultant

London | Competitive Salary + Benefits

This is an exciting opportunity for a Senior Analytics Consultant to join a growing analytics function that helps leading brands make smarter marketing and media investment decisions. You’ll work on high-impact projects, build advanced analytical models, and turn complex data into clear commercial recommendations that drive measurable business outcomes.

The Company

They are a data-driven consultancy that partners with organisations to improve marketing effectiveness, optimise performance, and maximise return on investment. Their team combines analytical expertise with commercial insight to help clients make evidence-based decisions. With an established international presence and a collaborative culture, they offer exposure to diverse projects and stakeholders across multiple industries. They are committed to professional development, innovation, and continuous learning.

The Role

• Develop and deliver advanced analytics projects focused on marketing and commercial performance.
• Build, refine, and interpret marketing mix modelling (MMM) and other analytical frameworks.
• Transform complex datasets into actionable insights and strategic recommendations.
• Engage directly with clients to gather data, present findings, and support implementation of recommendations.
• Contribute to business growth by identifying opportunities to add value for clients.
• Support and mentor junior team members, helping to develop capability across the wider team.
• Collaborate with senior stakeholders to ensure projects are delivered successfully and efficiently.

Your Skills & Experience

• Strong commercial experience in analytics, modelling, or data consultancy environments.
• Recent hands-on experience building Marketing Mix Models (MMM).
• Excellent analytical and numerical problem-solving skills.
• Understanding of marketing, media, pricing, promotions, or commercial performance analysis.
• Ability to communicate technical findings clearly to non-technical stakeholders.
• Experience using Excel, PowerPoint, and Word in a professional setting.
• Exposure to Python, R, SQL, or VBA would be highly advantageous.
• Ability to manage multiple priorities while maintaining high-quality deliverables.

What They Offer

• Competitive salary and benefits package.
• Flexible working arrangements that support work-life balance.
• Wellbeing initiatives and employee support programmes.
• Exposure to high-profile client projects with meaningful business impact.
• Clear opportunities for professional growth, learning, and career progression.
• Collaborative and supportive team environment.

How to Apply

If you’re a Senior Analytics Consultant with strong modelling expertise and a passion for turning data into commercial impact, apply today to learn more about this opportunity.

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Director of Data Research
Remote | £100,000 – £150,000
This is a rare opportunity to shape and lead a high-impact Data Research function within a growing data and analytics business. Sitting at the intersection of data science, commercial strategy, and research, you will play a key role in identifying new data opportunities, validating their value, and helping drive the development of innovative data products.
The Company
They are a fast-growing data and analytics organisation that delivers actionable business insights through sophisticated data products. Working with a range of commercial and investment-focused customers, they combine proprietary methodologies with diverse datasets to uncover meaningful trends and performance indicators.
Their success is built on finding unique sources of information and transforming them into valuable insights. As they continue to grow, they are looking for a Director of Data Research to provide technical leadership, enhance research capabilities, and drive innovation across the function.
The Role
As Director of Data Research, you will lead the strategy, execution, and development of the Data Research team. You will work closely with stakeholders across data partnerships, technology, and leadership to evaluate new datasets and identify opportunities for new products and KPIs.
Responsibilities include:

• Defining and executing the Data Research strategy in line with business objectives
• Leading research initiatives to identify new data sources, metrics, and commercial opportunities
• Evaluating new datasets and assessing their quality, reliability, and business value
• Applying statistical techniques including time series analysis, hypothesis testing, correlation analysis, and data validation
• Developing frameworks and standards for dataset evaluation and valuation
• Improving the speed, consistency, and quality of research delivery
• Managing and developing team members while fostering technical excellence
• Partnering with senior stakeholders to support data acquisition and investment decisions
• Driving innovation through the application of data science techniques and emerging technologies

Your Skills & Experience

• Strong experience in Data Research, Data Science, Statistics, or a closely related field
• Proven ability to lead complex research projects from hypothesis generation through to actionable recommendations
• Expertise in analysing large, complex, and imperfect datasets
• Strong statistical knowledge with experience validating data and assessing relationships between datasets and business outcomes
• Commercial awareness and the ability to evaluate the value of data investments
• Experience leading technical teams and setting high standards for research quality
• Proficiency in Python and the ability to review technical work effectively
• Excellent stakeholder management and communication skills
• Experience within alternative data, investment research, financial data, or similar environments would be beneficial

What They Offer

• Salary of £100,000 – £150,000
• Fully remote working environment
• Opportunity to shape and scale a growing research function
• High levels of ownership and influence across the business
• Exposure to complex data challenges and commercially focused research projects
• Collaborative environment with strong opportunities for career progression and leadership development

How to Apply
To find out more about this Director of Data Research opportunity, please submit your application today.

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Chief Data Officer

£160,000-£180,000

London (Hybrid – 1x Day a Week in Office)

The Company

This is a high-growth, PE-backed financial services business operating within the consumer credit and instalment payments space; with an ambitious growth agenda, the business is investing heavily in its technology, data and product capabilities. This is a key leadership hire as the organisation looks to modernise its data estate, build stronger engineering capabilities and use data more effectively across the customer journey!

The Role

As the Chief Data Officer, you will take ownership of the data strategy and lead a significant transformation of the organisation’s data and analytics capabilities. Your remit is to come in, review and reshape the existing data capability, define the target operating model and lead the development of a modern data lake and warehouse architecture. A major focus will be creating a genuinely self-serve data environment, enabling teams across the business to access and use data more effectively. You will work closely with a tight-knit senior leadership team. The role will also have a strong focus on using AI to improve engineering productivity, including increasing development speed and efficiency through modern coding and development practices; one of the initial priorities will be the customer onboarding journey, using data to improve personalisation, analytics and the overall customer experience.

Your Skills & Experience

• Senior data leader operating at Director / Chief Data Officer level
• Strong background within a technology-led business
• Experience building or significantly transforming data functions
• Strong understanding of data engineering, data architecture, data platforms and analytics
• Experience developing data lakes / modern data warehouses
• Strong track record of creating self-serve data capabilities
• Comfortable being highly hands-on with technology and technical detail
• Experience working with Azure / Microsoft data technologies highly desirable
• Strong understanding of AI and how it can be used to improve engineering productivity and development efficiency
• Experience working alongside architecture, product and engineering leadership
• Able to operate strategically while remaining close to the technical detail
• Financial services, fintech or similar technology-led environments would be advantageous

The Benefits

• £160,000-£180,000

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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Senior Business Intelligence Developer

Hybrid – West Midlands

£50,000 – £70,000

The Company

They are a growing, consumer-focused organisation investing significantly in their data and technology capabilities. Data is increasingly central to how they understand commercial performance, customers and operational effectiveness. You will join an environment undergoing continued transformation, with the opportunity to improve how BI is developed, governed and adopted across the organisation.

The Role

As a Senior BI Developer / Senior Data Analyst, you will own key elements of the end-to-end BI lifecycle. You will:

• Design and maintain scalable Power BI dashboards, semantic models and datasets.
• Build and optimise SQL data models supporting analytics, reporting and forecasting.
• Develop solutions within Microsoft Fabric, including Lakehouse, Warehouse and data pipeline capabilities.
• Design and maintain ETL and ELT pipelines using Fabric Data Factory, Power Automate or comparable technologies.
• Establish reusable BI datasets supporting multiple reporting requirements.
• Partner with finance, marketing, product and operational stakeholders to analyse revenue, pricing, customer behaviour and wider commercial performance.
• Define and standardise KPIs across key business areas.
• Automate manual reporting and improve self-service analytics through Power BI and the wider Microsoft ecosystem.
• Maintain strong standards around data quality, lineage, governance, documentation and performance.
• Translate complex analysis into clear commercial insights for senior stakeholders.
• Support developing BI and analytics professionals while helping establish technical best practice.

Your Skills & Experience

You will bring:

• Strong commercial experience across business intelligence, analytics or BI development.
• Advanced SQL skills covering complex transformations, dimensional modelling and performance optimisation.
• Deep hands-on Power BI expertise, including DAX, data modelling, deployment pipelines and optimisation.
• Experience with Microsoft Fabric or a comparable modern cloud data platform.
• Strong knowledge of data warehouses, Lakehouse architectures and ETL or ELT processes.
• Experience creating scalable and reusable datasets for reporting and analytics.
• Understanding of commercial and financial measures such as revenue, margin, ROI and P&L.
• Confidence partnering with both technical and non-technical stakeholders.
• A strong approach to data accuracy, governance and lineage.

Experience within retail, e-commerce or another consumer-focused environment would be beneficial, particularly involving pricing, promotions, inventory or multi-site data. Exposure to Power Apps, experimentation or A/B testing would also be advantageous.

What They Offer

• Salary dependent on experience.
• Hybrid working, with regular travel to an office in Wolverhampton.
• Significant ownership of the BI environment and its future development.
• Exposure to Microsoft Fabric and a modern Microsoft data stack.
• Opportunity to influence BI standards, self-service analytics and data-driven decision-making.
• Scope to develop your technical leadership and mentoring experience as the data capability evolves.

How to Apply

If you are a Senior BI Developer or Senior Data Analyst with strong Power BI, SQL and modern data platform experience, apply to find out more about the opportunity.

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Founding Data Engineer

Amsterdam or London | from €80,000 + Benefits

This is an opportunity for a Data profile who wants ownership, influence, and the chance to build something from the ground up. Rather than joining a large data team and owning a small piece of the puzzle, you will define the company’s entire data landscape, from architecture and tooling to governance and reporting.

The Company

They are a growing investment organisation focused on backing innovative technology businesses. Data sits at the heart of their decision-making, but information is currently spread across multiple systems, spreadsheets, and reporting tools. They are looking for someone to build a modern, scalable data environment that will support the business for years to come.

The Role

• Build the company’s first data warehouse and centralised data platform
• Design the data architecture and recommend the technology stack
• Consolidate data from CRM systems, spreadsheets, reporting tools, and external platforms
• Develop automated data pipelines and API integrations
• Establish data governance, quality standards, and business definitions
• Partner closely with finance, operations, and investment teams
• Shape the long-term data and analytics strategy

Your Skills & Experience

• Strong commercial experience in Data Engineering, Analytics Engineering, or Data Consulting
• Experience building or transforming data environments from scratch
• Strong SQL and Python skills
• Experience with APIs, data warehousing, and modern cloud technologies
• Excellent stakeholder management and communication skills
• Understanding of investment, private equity, financial services, or portfolio data
• Degree in Finance, Economics, Mathematics, Computer Science, Engineering, or a related quantitative discipline is beneficial
• This role is particularly suited to someone coming from a consultancy or a smaller business environment. You will enjoy solving greenfield challenges, making technology decisions, and operating with a high degree of autonomy.

What They Offer

• End-to-end ownership of the data function
• Direct exposure to senior leadership
• The opportunity to build a modern data platform from day one

How to Apply

If you enjoy building rather than maintaining, and want to shape the future of a company’s data capability, apply today.

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Data Platform Engineer

Newcastle | Hybrid, 2 days per week onsite
Up to £84,000

We’re working with a major global organisation looking for a Data Platform Engineer to help support, improve and scale its enterprise data platform.

This is a hands-on role focused on ensuring a modern Azure-based data platform remains reliable, secure, observable and ready for production use. You’ll work across Microsoft Fabric, Azure Databricks and the wider Azure ecosystem, taking ownership of platform health, deployments, monitoring, incident resolution and continuous improvement.

What you’ll be doing

• Supporting and maintaining Microsoft Fabric, Azure Databricks and associated Azure services
• Monitoring platform performance, availability, resilience and capacity
• Troubleshooting issues across cloud infrastructure, identity, networking, storage and security
• Supporting CI/CD, release management and production deployments
• Building and improving monitoring, alerting and observability
• Managing incidents and contributing to root cause analysis
• Improving automation, documentation, runbooks and operational processes
• Working closely with Architecture, Security, Infrastructure and wider technology teams

What we’re looking for

Ideally, you’ll have experience across:

• Microsoft Azure
• Azure Databricks and/or Microsoft Fabric
• Azure DevOps & Git
• CI/CD
• Terraform
• Python and/or PowerShell
• Monitoring and observability tooling
• Supporting cloud data platforms in production
• ITSM processes including incident, change and release management

Package & working pattern

Up to £84,000
Newcastle
Hybrid, 2 days per week in the office

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Data Engineering Lead

West London | Hybrid, 3 days per week onsite
Up to £90,000 + up to 40% bonus

We’re working with a large, established organisation that is investing heavily in the modernisation of its data platform and is looking for a Data Engineering Lead to play a key role in that transformation.

This is a hands-on leadership position where you’ll take ownership of the design and delivery of scalable data solutions while leading and developing a team of 4-6 Data Engineers. You’ll be joining at an exciting stage as the business continues its move from legacy, on-premise infrastructure towards a modern, cloud-native data environment.

What you’ll be doing

• Leading the design, development and deployment of scalable data pipelines and architectures
• Managing, mentoring and developing a team of Data Engineers
• Driving the adoption of cloud technologies and modern data engineering practices
• Building out reliable data operations and improving the performance of the wider data estate
• Working closely with Data Architects, Analytics teams and senior stakeholders
• Establishing engineering best practices across CI/CD, coding standards, documentation and version control
• Helping shape the technical direction of a major data modernisation programme

What we’re looking for

You’ll be an experienced Data Engineering leader who is still comfortable operating at a technical level.

Ideally, you’ll bring experience across:

• AWS including S3, EC2, Lambda and Glue
• Snowflake
• Python & SQL
• Airflow or similar ETL/orchestration tooling
• Streaming technologies such as Kinesis
• Data warehousing and data modelling
• CI/CD and modern engineering practices
• Building and maintaining complex data pipelines
• Leading and developing Data Engineering teams

Package

Up to £90,000 base salary
Up to 40% bonus
West London
Hybrid, 3 days per week onsite

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