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Director of Data Science

Location: Atlanta, GA (Onsite)

Salary: $250-350k depending on experience

We’re partnering with a leading private equity-backed consumer platform to hire a Director of Data Science to lead and scale an enterprise-level data science function.

This role sits at the intersection of investment strategy, portfolio performance, and advanced analytics, with direct influence on how data science, machine learning, and Generative AI are used to drive value across a large multi-brand ecosystem.

The Role

You’ll own the vision, execution, and growth of the Data Science function, leading a high-performing team and partnering closely with senior leaders across strategy, engineering, product, and investment teams.

The work spans commercial due diligence, forecasting, pricing, experimentation, marketing analytics, and GenAI tooling, with a strong emphasis on building scalable, production-grade solutions that drive measurable business impact.

This is a player-coach role – hands-on where needed, strategic where it counts.

What You’ll Be Doing

• Lead and grow the Data Science team, setting technical standards and best practices
• Define the long-term roadmap, tooling, and architecture for applied data science
• Partner with investment and portfolio teams on predictive modeling and value creation
• Drive the adoption and impact of Generative AI and agentic workflows
• Own the full model lifecycle, from problem framing through production deployment
• Translate complex analytics into clear, executive-level insights

What We’re Looking For

• 10+ years of applied data science / ML experience
• Strong Python and SQL skills, with proven production deployment experience
• Experience leading and scaling technical teams
• Deep expertise in forecasting, experimentation, pricing, and causal analysis
• Strong business judgment and executive communication skills

Nice to have: consumer / retail / QSR exposure, multi-brand environments, PE or consulting background, advanced degree, and a strong point of view on how GenAI tools are reshaping data science workflows.

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Software Engineering Lead, Data & Analytics

Location: US Remote (preferred states – Georgia, Alabama, New York, Colorado, Florida)

Salary: $160-180k base + bonus

We’re partnering with a large, well-capitalized private equity platform to hire a Senior Software Engineer to support and scale their growing Data & Analytics organization.

This role sits at the intersection of software engineering, data infrastructure, and analytics products, with a direct line of sight into how data is used to drive investment decisions and portfolio performance across a global, multi-brand ecosystem.

The Opportunity

The business is investing heavily in its internal data and analytics capabilities. This hire will play a key role in building the software foundations that allow data scientists and analysts to deliver production-ready insights.

You’ll work closely with data science, analytics, and engineering teams to translate business problems into scalable, reliable analytics products, including data pipelines, internal applications, and modern user interfaces.

This is a hands-on engineering role with end-to-end ownership across the full development lifecycle.

What You’ll Be Doing

• Partner with data science and analytics teams to turn business problems into engineered solutions
• Build and maintain data pipelines and cloud infrastructure supporting analytics and ML workloads
• Develop production-ready analytics tools and internal applications delivered through modern UIs
• Support analytics solutions from exploratory analysis through prototyping, validation, and deployment
• Build custom packages and services, including automated CI/CD pipelines with testing
• Work across ETL frameworks to support new and existing data feeds
• Stay current on modern software engineering tools and best practices

What We’re Looking For

• 8+ years of professional software engineering experience
• Strong experience building and deploying production systems end to end
• Proficiency in Python, SQL, and JavaScript (or similar languages)
• Experience designing and operating cloud-based architectures using Docker, Kubernetes, and related tools
• Background working closely with data science and analytics teams
• Experience translating business requirements into scalable technical solutions
• Strong communication skills across technical and non-technical stakeholders

Nice to Have

• Experience building analytics or data-heavy products used by business teams
• Familiarity with GCP, BigQuery, Postgres, and Flask
• Experience with CI/CD, testing frameworks, and software lifecycle best practices
• Comfort operating in fast-paced, deadline-driven environments

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Credit Risk Manager

£74,000-£100,000

London, hybrid (3 days per week in office)

Harnham are working with a fast‑growing consumer finance business to hire a Credit Risk Manager within their UK team. This is an opportunity to join a high performing organisation known for its data driven approach and rapid product innovation.

THE COMPANY

• A leading FinTech scale‑up operating across consumer lending products, known for its busy culture and strong market reputation.
• The business has experienced sustained growth across multiple product lines and continues to expand in both the UK and international markets.
• Highly data led environment with a strong focus on building efficient, customer centric lending solutions.

THE ROLE

You’ll play a key role in developing and optimising lending and credit strategies across core UK products, with a likely initial focus on the organisation’s newest product area. This position offers broad exposure to commercial, analytical and strategic work across the full credit lifecycle.
Specifically, you can expect to be involved in:

• Developing and implementing acquisition and customer management strategies.
• Creating pricing, NPV and profitability models to support product growth.
• Embedding analytical insights into credit decision making and wider business strategy.
• Conducting analysis on customer trends, performance and portfolio dynamics.
• Collaborating with stakeholders across product, analytics and finance.

YOUR SKILLS AND EXPERIENCE

• Strong academic background in a quantitative or analytical field.
• Experience developing lending strategies or driving commercial insight within consumer finance, FinTech or related analytical industries.
• Ability to interpret data to inform risk, pricing or customer strategy decisions.
• Proficiency in SQL; Python experience is beneficial.
• Experience in a busy environment with the ability to manage varied analytical projects.

THE BENEFITS

• Broad exposure to multiple consumer lending products.
• Collaborative, high growth environment with opportunities for rapid development.
• Strong long term incentives through company share schemes.
• Opportunity to influence strategy in a highly data driven organisation.

THE PROCESS

• Online case study assessment.
• In person interview covering a business case, technical questions and competency discussion.
• Final stage office visit with team interaction.

HOW TO APPLY

Please register your interest via the apply link on this page.

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Senior Impairment Analyst

£60,000-£85,000

London + hybrid working (2-3 days per week in office)

Harnham are working with a UK consumer finance provider to hire a Senior Impairment Analyst within their growing portfolio analytics team. This is a strategic, high impact role supporting the performance, forecasting and optimisation of key lending products.

THE COMPANY

• A well established digital lender offering innovative consumer finance products across the UK.
• Known for its data driven culture, strong market reputation and continuous product expansion.
• Recently invested in new technology and analytics capabilities, with a modern office environment and cooperative teams.

THE ROLE

This is a broad impairment analytics role focused on understanding portfolio performance, enhancing forecasting frameworks and supporting end‑to‑end strategic decision making. You’ll work cross functionally with product, risk and data teams to deliver high quality insights and improvements.
Specifically, you can expect to be involved in:

• Analysing portfolio performance to identify trends, risks and improvement opportunities.
• Recommending and implementing enhancements to impairment methodologies and frameworks.
• Using statistical and analytical techniques to forecast losses and understand customer behaviour.
• Driving optimisation initiatives across processes, tooling and analytical workflows.
• Supporting and mentoring junior analysts as part of a cooperative team.

YOUR SKILLS AND EXPERIENCE

• Strong experience in impairment analytics or portfolio performance analysis.
• Ability to apply analytical methods to forecasting, customer behaviour or loss modelling.
• Proficiency in SQL for data extraction and analysis; Python is advantageous.
• STEM degree from a Russel group university
• Strong communication skills with the ability to convey insights clearly to stakeholders.

THE BENEFITS

• High visibility across multiple product teams.
• Opportunity to shape impairment strategy within a growing analytics function.
• Modern office environment and collaborative culture.
• Strong long‑term development opportunities.

THE PROCESS

• Online analytical case study assessment.
• In person interview including business case, technical discussion and competency questions.
• Final office visit to meet the wider team.

HOW TO APPLY

Please register your interest via the apply link on this page.

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Product Analyst
London (Hybrid – 2x Days a Week in Office)
£80,000-£90,000

The Company

Are you a commercially-minded Product Analyst or Product Data Scientist looking to make an impact in a fast-growing, PE-backed consumer tech business? This is a unique opportunity to join a company in an exciting growth phase, working alongside an experienced and data-driven leadership team!

The Role

You’ll sit within a highly collaborative Data team and act as a key partner to Product, Engineering, and Commercial teams, using data to shape strategy, improve personalisation, and create a best-in-class experience for millions of users. This role is ideal for someone who is curious, commercially focused, and passionate about understanding user behaviour to drive measurable outcomes

You’ll be responsible for:

• Analysing user behaviour, spotting trends, and telling compelling data stories to influence product strategy
• Designing, running, and evaluating experiments to optimise product performance and improve conversion
• Defining and aligning key metrics across teams, ensuring consistent measurement and insight delivery
• Building and maintaining dashboards and self-serve tools for quick access to core insights
• Conducting deep-dive analysis to inform strategic decisions and drive measurable product improvements

Your Skills & Experience

I’m looking for someone who is excited to work in a product-focused, consumer-facing environment, and who brings:

• Strong SQL
• Python/R experience preferrable
• Experience with dbt and modern data stacks a bonus
• A proven ability to turn data into actionable insights and communicate them clearly to stakeholders
• Experience in a B2C or consumer tech environment, ideally with a focus on product analytics or experimentation

The Benefits

• Salary up to £80,000 – £90,000
• 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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Head of Engineering

£110,000 – £130,000

Remote

This is an opportunity to lead engineering for a cutting‑edge AI and data platform that is redefining how enterprise brands navigate both traditional and LLM‑driven search.

THE COMPANY

They are a global technology business building market‑leading search intelligence products used by major enterprise brands.

THE ROLE

As a Head of Engineering, you will lead a multi-disciplinary team with clear ownership, setting engineering and AI standards.

Specifically, you can expect to be involved in the following:

• Own the execution of the engineering roadmap across all core products and drive architectural decisions for distributed data processing, ML pipelines and modern web systems.
• Ensure systems scale to support large datasets and evolving GenAI workloads.
• Champion engineering excellence including testing, observability, documentation and incident response whilst guiding teams on AI‑assisted and agentic coding practices.
• Balance delivery speed, technical debt and long‑term stability in fast‑moving product areas.

SKILLS AND EXPERIENCE

The successful Head of Engineering will have the following skills and experience:

• Confidence operating across ML delivery, GenAI and distributed data.
• Cloud experience – ideally AWS.
• Understanding of Spark, Databricks or similar data technologies
• Knowledge of modern web (TypeScript or React) and .NET
• Strong grounding in CI/CD, containerisation and monitoring.

BENEFITS

The successful Head of Engineering will receive the following benefits:

• Salary between £110,000 – £130,000 – depending on experience
• Competitive bonus and benefits.

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Head of Engineering

£110,000 – £130,000

Remote

This is an opportunity to lead engineering for a cutting‑edge AI and data platform that is redefining how enterprise brands navigate both traditional and LLM‑driven search.

THE COMPANY

They are a global technology business building market‑leading search intelligence products used by major enterprise brands.

THE ROLE

As a Head of Engineering, you will lead a multi-disciplinary team with clear ownership, setting engineering and AI standards.

Specifically, you can expect to be involved in the following:

• Own the execution of the engineering roadmap across all core products and drive architectural decisions for distributed data processing, ML pipelines and modern web systems.
• Ensure systems scale to support large datasets and evolving GenAI workloads.
• Champion engineering excellence including testing, observability, documentation and incident response whilst guiding teams on AI‑assisted and agentic coding practices.
• Balance delivery speed, technical debt and long‑term stability in fast‑moving product areas.

SKILLS AND EXPERIENCE

The successful Head of Engineering will have the following skills and experience:

• Confidence operating across ML delivery, GenAI and distributed data.
• Cloud experience – ideally AWS.
• Understanding of Spark, Databricks or similar data technologies
• Knowledge of modern web (TypeScript or React) and .NET
• Strong grounding in CI/CD, containerisation and monitoring.

BENEFITS

The successful Head of Engineering will receive the following benefits:

• Salary between £110,000 – £130,000 – depending on experience
• Competitive bonus and benefits.

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Head of Engineering

£110,000 – £130,000

Remote

This is an opportunity to lead engineering for a cutting‑edge AI and data platform that is redefining how enterprise brands navigate both traditional and LLM‑driven search.

THE COMPANY

They are a global technology business building market‑leading search intelligence products used by major enterprise brands.

THE ROLE

As a Head of Engineering, you will lead a multi-disciplinary team with clear ownership, setting engineering and AI standards.

Specifically, you can expect to be involved in the following:

• Own the execution of the engineering roadmap across all core products and drive architectural decisions for distributed data processing, ML pipelines and modern web systems.
• Ensure systems scale to support large datasets and evolving GenAI workloads.
• Champion engineering excellence including testing, observability, documentation and incident response whilst guiding teams on AI‑assisted and agentic coding practices.
• Balance delivery speed, technical debt and long‑term stability in fast‑moving product areas.

SKILLS AND EXPERIENCE

The successful Head of Engineering will have the following skills and experience:

• Confidence operating across ML delivery, GenAI and distributed data.
• Cloud experience – ideally AWS.
• Understanding of Spark, Databricks or similar data technologies
• Knowledge of modern web (TypeScript or React) and .NET
• Strong grounding in CI/CD, containerisation and monitoring.

BENEFITS

The successful Head of Engineering will receive the following benefits:

• Salary between £110,000 – £130,000 – depending on experience
• Competitive bonus and benefits.

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Product Analyst
East Midlands (Hybrid – 2x Days a Week in Office)
£80,000-£90,000

The Company

Are you a commercially-minded Product Analyst or Product Data Scientist looking to make an impact in a fast-growing, PE-backed consumer tech business? This is a unique opportunity to join a company in an exciting growth phase, working alongside an experienced and data-driven leadership team!

The Role

You’ll sit within a highly collaborative Data team and act as a key partner to Product, Engineering, and Commercial teams, using data to shape strategy, improve personalisation, and create a best-in-class experience for millions of users. This role is ideal for someone who is curious, commercially focused, and passionate about understanding user behaviour to drive measurable outcomes

You’ll be responsible for:

• Analysing user behaviour, spotting trends, and telling compelling data stories to influence product strategy
• Designing, running, and evaluating experiments to optimise product performance and improve conversion
• Defining and aligning key metrics across teams, ensuring consistent measurement and insight delivery
• Building and maintaining dashboards and self-serve tools for quick access to core insights
• Conducting deep-dive analysis to inform strategic decisions and drive measurable product improvements

Your Skills & Experience

I’m looking for someone who is excited to work in a product-focused, consumer-facing environment, and who brings:

• Strong SQL
• Python/R experience preferrable
• Experience with dbt and modern data stacks a bonus
• A proven ability to turn data into actionable insights and communicate them clearly to stakeholders
• Experience in a B2C or consumer tech environment, ideally with a focus on product analytics or experimentation

The Benefits

• Salary up to £80,000 – £90,000
• Bonus

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

To Apply for this Job Click Here

To Apply for this Job Click Here

Analytics Manager

Location: UK (Remote)
Type: Permanent

Salary: £120k

Overview

We are supporting a rapidly scaling, product-led digital business seeking an Analytics Manager to lead analytics delivery and embed data-driven decision-making across the organisation.

This is a senior, hands-on role combining technical execution, stakeholder partnership and people leadership. You’ll shape how analytics operates, influence strategic decisions and grow a small team as the business scales.

Key Responsibilities

Technical & Analytical Delivery

• Write complex SQL to analyse large-scale behavioural, transactional and operational datasets

• Build and maintain dashboards and reporting frameworks using modern BI tools

• Conduct deep-dive analysis into customer behaviour, product performance and commercial outcomes

• Lead experimentation, hypothesis testing and performance measurement

• Design scalable analytics models and data structures to support growth

Stakeholder Partnership

• Act as the analytics partner to senior stakeholders across product, commercial, risk and finance teams

• Translate complex analysis into clear, actionable recommendations

• Present insights through written outputs and senior forums

• Support regulatory, operational and commercial reporting requirements

People & Function Leadership

• Manage and develop a small team of analysts/analytics engineers

• Set priorities, review outputs and ensure analytical quality

• Coach team members on technical skills and stakeholder engagement

• Contribute to hiring and the long-term analytics roadmap

Experience & Skills Required

• Advanced SQL capability (complex joins, CTEs, window functions, optimisation)

• 5+ years’ experience in analytics or data roles

• Previous experience leading, mentoring or managing analysts

• Strong stakeholder management and communication skills

• Background in digital, financial, regulated or high-volume data environments

• Comfortable operating in fast-moving, ambiguous settings

Desirable

• Experience with experimentation or statistical analysis

• Exposure to modern data modelling or transformation tools

• Product or growth analytics background

What’s On Offer

• High-impact leadership role with clear progression

• Significant autonomy and ownership

• Competitive salary + long-term incentive

• Fully remote working within the UK

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Data Analytics Consultant

London

Up to £60,000

Are you an avid Data Analyst with experience in a fast-paced environment? We are partnering with a data focused consultancy looking to bring someone in who is comfortable working with imperfect datasets.

ROLES AND RESPONSIBILITIES:

The Data Analytics Consultant will:

-Build quality Power BI models and reports

-Work with clients to understand their objectives, needs and operational processes

-Communicate technical findings into clear insights

-Continue the development of automated analytics solutions

-Work with large datasets to identify opportunities, risks and trends

-Add to internal best practice

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

-Strong experience in Power BI semantic models (DAX, modelling and performance optimisation)

-Advanced SQL including complex joins, transformations and optimisation

-Some exposure to Python

-Strong skills with Excel for modelling and analytics

-Strong academics background (for example maths, engineering, economics, computer science etc.)

-Good communication skills

-Around 3 years minimum experience working in a fast paced environment

APPLY BELOW!

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