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Data Scientist
£45,000-£50,000
Merseyside (Hybrid – 3x Days a Week in Office)

Looking for a Data Science role where your models will actually make it into production? This is an opportunity to join a major UK retail business at a pivotal stage in its Data Science and AI transformation. With a new loyalty programme launching and significant investment into customer analytics, the business is building a scalable Data Science capability focused on real commercial impact

THE COMPANY

This established UK retail brand is investing heavily across Data Science, analytics, and AI as part of a wider business transformation. The organisation is moving away from ad-hoc analytics and building a modern Data Science function capable of supporting customer personalisation, forecasting, and smarter commercial decision-making at scale. The culture is collaborative, pragmatic, and delivery-focused, with a strong emphasis on getting models into production and creating measurable business value.

THE ROLE

You’ll join a growing Data Science team, working closely with the Lead Data Scientist alongside analytics, engineering, and commercial stakeholders across the business. This is a hands-on mid-level Data Scientist role focused on developing and deploying customer-focused machine learning models.

Projects include:

• Customer segmentation
• Customer Lifetime Value (CLTV) modelling
• Demand forecasting
• Propensity modelling
• Targeted promotions and campaign optimisation
• Data Science initiatives linked to a major new loyalty programme

The team are still early in their Data Science journey, making this an excellent opportunity for someone who enjoys building scalable solutions and helping shape best practices.

YOUR SKILLS & EXPERIENCE

The business are open to strong Advanced Analytics candidates looking to transition further into Data Science

• Strong Python experience
• Experience building predictive or customer-focused models
• A practical and commercially minded approach to Data Science

Nice to have:

• Cloud exposure (GCP or Azure)
• Experience with Vertex AI or Azure ML

THE BENEFITS

• Up to £50,000

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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LEAD DATA SCIENTIST

UP TO £90,000 + DISCRETIONARY BONUS

LONDON

HYBRID WORKING – 2/3 DAYS PER WEEK

Shape the future of credit risk by building impactful models that directly influence real-world lending decisions, in a role where your work is highly visible and commercially relevant. You’ll take ownership of the full modelling lifecycle, from development through to deployment, working in a fast-paced environment that values both technical excellence and clear communication. This is an opportunity to join a high-growth team where your ideas, expertise, and stakeholder engagement will drive meaningful business outcomes.

THE COMPANY

Join a scaling UK fintech specialising in consumer lending and credit analytics. Focused on building modern data platforms and decisioning tools to improve lending outcomes and known for a collaborative culture and strong growth trajectory within a competitive market.

THE ROLE

As a Lead Data Scientist, you will focus on building and deploying credit risk models within a dynamic, fast-paced environment. You’ll work closely with cross-functional teams to drive insight-led decision making across the business.

Specifically, you can expect to be involved in:

• Developing and maintaining credit risk models, including scorecards, behavioural and acquisition models
• Working on predictive modelling across areas such as fraud, open banking, and competitor analysis
• Deploying models into production environments and monitoring performance
• Collaborating with technical and business teams to deliver data-driven insights
• Contributing to innovation projects exploring new data sources and modelling techniques

SKILLS AND EXPERIENCE

• Experience in consumer credit or lending environments with exposure to credit risk modelling
• Strong hands-on coding skills in Python and SQL
• Experience developing predictive or statistical models in a commercial setting
• Knowledge of cloud-based tools (e.g. AWS SageMaker)
• Strong communication skills with the ability to explain technical concepts clearly
• Exposure to model deployment or end-to-end model lifecycle is advantageous
• Degree in a quantitative field such as Mathematics, Statistics, or similar

BENEFITS

The successful Lead Data Scientist will receive up to £90,000 and a comprehensive benefits package.

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Lead AI Engineer

London (Hybrid, 1 day per week) | Up to £110,000 + 15% Bonus

This is an exciting opportunity for a Lead AI Engineer to join a business making significant investment in AI and automation. You will play a pivotal role in shaping AI strategy, leading the delivery of production-grade GenAI solutions, and driving innovation across multiple high-impact business areas. With strong executive backing and a growing pipeline of AI initiatives, this role offers genuine influence and ownership from day one.

The Company

They are a well-established, technology-driven organisation operating at scale within a highly regulated environment. As part of a wider digital transformation programme, they are investing heavily in AI, automation, and advanced data capabilities to improve customer experiences and operational efficiency.

Their AI function is expanding rapidly, with multiple GenAI and machine learning initiatives moving from concept into production. You will join a collaborative team where technical expertise is valued, decisions are made pragmatically, and innovation is closely aligned to measurable business outcomes.

The Role

As a Lead AI Engineer, you will be responsible for leading the design, development, and deployment of AI solutions that deliver real business value.

Responsibilities include:

• Owning end-to-end delivery of AI and GenAI solutions from discovery through to production.
• Leading architecture decisions and providing technical direction across multiple AI initiatives.
• Building scalable, secure, and reliable AI applications within an enterprise environment.
• Driving build versus buy evaluations and recommending appropriate technologies.
• Delivering solutions including retrieval-augmented generation (RAG), agentic AI, automation, and intelligent decision-support tools.
• Working closely with engineering, security, governance, and business stakeholders.
• Navigating complex and ambiguous problem spaces to identify practical AI opportunities.
• Providing technical leadership, guidance, and mentoring within the AI engineering function.
• Contributing to the wider AI strategy and future direction of the capability.

Your Skills & Experience

• Strong commercial experience delivering GenAI solutions into production environments.
• Proven ability to lead AI projects from concept through deployment and operational management.
• Excellent software engineering fundamentals and experience building scalable applications.
• Experience making architecture and technology decisions within enterprise organisations.
• Strong knowledge of modern AI engineering practices, including LLMs, RAG, agentic workflows, and MLOps concepts.
• Experience working with cloud platforms, ideally AWS.
• Ability to balance innovation with risk, governance, and operational requirements.
• Strong stakeholder management and communication skills.
• Experience within financial services or other regulated environments would be beneficial.
• Demonstrable experience operating at Lead Engineer, Technical Lead, or equivalent level.

What They Offer

• Hybrid working model with flexibility and a strong focus on outcomes.
• Opportunity to influence AI strategy within a growing and highly visible function.
• Exposure to a broad portfolio of AI transformation initiatives.
• Career progression within an expanding AI and engineering capability.
• Autonomy, ownership, and the opportunity to deliver meaningful business impact at scale.

How to Apply

If you are a Lead AI Engineer with proven experience delivering production-ready GenAI solutions and want to play a key role in shaping the future of AI within a large-scale organisation, please apply today.

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Data Scientist – MMM

This is an exciting opportunity for a Junior Data Science Manager to work at the intersection of data science and marketing effectiveness. You will use advanced modelling techniques to influence real business decisions, while continuing to develop both your technical expertise and your ability to communicate complex insights clearly.

The Company
They are a global, data-led organisation operating at the forefront of marketing analytics and technology. Built on strong technical foundations, they combine proprietary tools, experimentation, and data science to help organisations understand what drives performance. Their teams work across a wide range of clients and industries, delivering measurable impact through rigorous analysis and innovation. They are committed to developing talent and fostering a collaborative, learning-focused environment.

The Role

• Support the delivery of marketing mix modelling projects, owning key components such as data preparation, model execution, and scenario analysis
• Apply statistical and analytical techniques to solve business problems across marketing and performance data
• Translate complex model outputs into clear, actionable insights that inform budget and channel decisions
• Collaborate with senior stakeholders and contribute to high-quality client deliverables
• Use AI tools to enhance productivity, accelerate development, and improve communication of outputs

Your Skills and Experience

• Strong commercial experience in data science or statistical modelling, ideally within marketing analytics
• Hands-on experience with marketing mix modelling or similar approaches, with exposure to tools such as Meridian, Robyn, or PyMC
• Proficiency in Python and experience working with cloud platforms such as GCP
• Understanding of Bayesian statistics and marketing attribution concepts
• Ability to communicate technical findings clearly to non-technical audiences
• Interest in applying AI tools to enhance data science workflows

What They Offer

• Opportunity to work on data-driven projects across a range of industries
• Ongoing professional development and clear progression within a growing data science function
• Access to cutting-edge tools like Google Meridian and AI-driven workflows

How to Apply
Apply now to learn more about this Junior Data Science Manager opportunity and take the next step in your data science career.

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Senior Data Scientist

London – 2x a week

The Role

As a Senior Data Scientist, you will:

• Develop and enhance credit risk and decisioning models using customer, credit bureau, transactional, and internal datasets.
• Analyse portfolio performance across originations, arrears, defaults, recoveries, and customer behaviour.
• Identify opportunities to improve underwriting strategies and customer decisioning.
• Produce actionable insights from large, complex, and sometimes incomplete datasets.
• Build monitoring frameworks and reporting to track model and portfolio performance.
• Support the deployment and optimisation of analytical solutions within production environments.
• Investigate data quality issues and drive improvements across reporting and decisioning processes.
• Work closely with risk, product, engineering, and commercial stakeholders to deliver data-driven solutions.
• Contribute to model governance, validation, and documentation activities.

Skills & Experience

• Strong Python experience across analytics, modelling, and data processing.
• Hands-on experience working within AWS environments, including services such as Lambda, EC2, SageMaker, RDS, and CloudWatch.
• Proven track record developing and validating predictive models, including logistic regression and machine learning techniques.
• Strong understanding of consumer credit risk, affordability assessment, and lending decisioning.
• Excellent analytical and problem-solving skills with a rigorous attention to detail.
• Experience translating complex analysis into clear recommendations for business stakeholders.
• A proactive, ownership-driven mindset and ability to thrive in a fast-paced environment.

What They Offer

• Competitive salary
• Be part of a fast-growing, data-led business.
• Work on high-impact projects with direct business visibility.
• Influence lending decisions and strategic direction.
• Collaborate with experienced professionals across risk, product, and technology.
• Enjoy significant autonomy and ownership in a highly collaborative environment.

How to Apply

Please get in touch to learn more about this role.

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Senior Data Scientist – START UP – EQUITY

We are working with an exciting start up company who are committed to making affordable, flexible loans for their customers. This will be their first Data Science hire in the company and will have full ownership on ML models across the business.

Required Experience:

• Experience working in Lending, Loans, Insurance or Credit businesses
• Experience building and deploying Credit Risk Data Models
• AWS, Python & SQL experience

Important Information

• 2 days a week in London
• Up to £70K base
• Equity
• No additional benefits

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