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Data Scientist – Merseyside

As a Data Scientist, you will work closely with the Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making. Responsibilities include:

• Building and deploying machine learning models across customer use cases
• Delivering projects focused on customer segmentation, lifetime value, and forecasting
• Supporting targeted marketing activity, including campaigns and personalisation
• Collaborating with data engineers, analysts, and business stakeholders
• Contributing to the development of a scalable Data Science platform
• Ensuring models are production-ready and drive measurable business impact

Your Skills & Experience

• Strong commercial experience in Data Science, delivering end-to-end projects
• Proficiency in Python, with solid SQL skills
• Experience applying machine learning and statistical techniques to business problems
• Exposure to deploying models into production environments
• Understanding of cloud platforms such as GCP or Azure is beneficial
• Ability to communicate insights clearly to non-technical stakeholders
• A practical, delivery-focused mindset with a collaborative approach

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Senior Data Scientist

Leicester (Hybrid – 1 Day Per Week)

£60,000-£75,000 + £5,000 Car Allowance + 10% Bonus + Outstanding Benefits

THE COMPANY

We’re exclusively partnering with one of the UK’s leading digital insurance businesses to hire two Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team.

With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This is a genuinely innovative environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions.

THE ROLE

Joining a specialist team of six Data Scientists and Analysts, you’ll play a key role in developing the next generation of pricing models across car and van insurance.

Rather than maintaining existing models, you’ll be encouraged to challenge traditional pricing approaches by exploring new datasets and applying innovative machine learning techniques to solve complex commercial problems.

Responsibilities include:

• Building predictive machine learning models using large, complex datasets
• Developing innovative pricing and customer selection models
• Creating footprint (geospatial) models using alternative data sources
• Developing residual models to improve claims prediction accuracy
• Exploring novel datasets to improve pricing performance
• Taking existing V1 models and evolving them into production-ready V2 solutions
• Working closely with Pricing, Data Science and Engineering teams
• Mentoring a Graduate Data Scientist while leading your own projects from concept through to delivery

YOUR SKILLS AND EXPERIENCE

• Strong Python and SQL experience
• Commercial Machine Learning experience
• Strong predictive modelling background
• Comfortable working with large, messy datasets
• Experience solving complex business problems using data
• Experience mentoring or supporting junior team members
• Exposure to model deployment is beneficial but not essential
• Experience within Insurance, Financial Services, Gaming or another digital-first business is advantageous

Experience with Azure Machine Learning, Graph-based models or geospatial modelling would be beneficial but is not essential.

THE BENEFITS

• Salary up to £75,000 (up to £80,000 for exceptional candidates)
• £5,000 annual car allowance
• 10% target bonus (up to 20%)
• Hybrid working (1 day per week in the office)
• Choice of London or Leicester or Bexhill office, with monthly London travel fully expensed
• Private Medical Insurance
• 10% matched pension
• 27 days annual leave plus bank holidays
• Buy or sell up to 5 days annual leave
• Life Assurance and Income Protection
• Health & Wellbeing package
• Optional dental cover
• Discounts on company products

INTERVIEW PROCESS

• 30-minute introductory conversation with the Hiring Manager
• Take-home case study followed by a 20-minute presentation and technical discussion
• Final leadership and team-fit interview

HOW TO APPLY

Please register your interest by sending your CV to Max Beadle at Harnham via the Apply link on this page.

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Growth & Product Analytics Lead
London – Full Time in Office
Up to £180,000 + Equity

This is a rare opportunity to join a high-growth AI software business at a pivotal stage of its journey. Working directly with executive leadership, you will shape the decisions that influence product strategy, customer growth, commercial performance and international expansion.

The Company
They are a venture-backed technology company using artificial intelligence to transform how businesses analyse information, generate insights and make strategic decisions. Having experienced significant growth since launch, they are continuing to scale their product offering, customer base and international presence.

With strong technical foundations already in place, they are now investing in their Strategy & Operations capability to ensure data drives every major commercial and product decision. This role offers direct exposure to senior leadership and the opportunity to have a measurable impact on company growth.

The Role
As the Growth & Product Analytics Lead, you will sit within the CEO Office and Strategy & Operations function, owning the analytics that underpin commercial and product decision-making.

You will:

• Drive insights across product adoption, customer activation and usage growth
• Identify opportunities to improve customer expansion, retention and revenue generation
• Partner with leadership to influence product, pricing and go-to-market strategy
• Own experimentation frameworks and measure the impact of new initiatives
• Define instrumentation and measurement requirements alongside product and engineering teams
• Build analyses, models and solutions directly rather than acting as a reporting function
• Translate complex data into clear, commercially actionable recommendations
• Proactively identify problems, quantify opportunities and deliver measurable outcomes
• Support strategic decision-making through product, commercial and growth analytics

Your Skills & Experience

You will bring:

• Strong experience influencing growth, adoption or commercial performance within a B2B or enterprise software environment
• Advanced SQL and hands-on experience working with modern data warehouses, dbt and BI tools
• A track record of using data to improve product adoption, customer growth, pricing or monetisation outcomes
• Experience designing experiments and measuring the impact of strategic initiatives
• Strong commercial acumen with the ability to connect analytics to business outcomes
• Excellent stakeholder communication skills, with confidence presenting insights to senior leadership
• A hands-on approach and ability to independently build solutions, analyses and frameworks
• Experience across growth analytics, product analytics, commercial analytics, monetisation analytics or growth-focused data science

What They Offer

• Competitive base salary with meaningful equity participation
• High levels of autonomy and ownership
• Direct exposure to founders and executive leadership
• The opportunity to shape a newly established analytics function
• Significant scope for career progression as the business continues to scale
• A fast-paced, ambitious and highly collaborative environment
• The chance to influence high-impact strategic decisions across product, growth and commercial operations

How to Apply
If you’re a commercially minded analytics professional who enjoys turning data into growth opportunities and wants to make a direct impact within a scaling AI business, apply today to learn more.

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Job Title: AI Product Director

Location: SF Bay Area (Hybrid 2-3 days/week in office)

Salary: $275-290k base

Overview:

An established fintech organization is seeking an AI Product Director to lead the next phase of its enterprise-wide AI transformation program.

This is a highly visible leadership role focused on reimagining business processes through AI and scaling successful AI solutions across multiple functions. You’ll work closely with executive stakeholders, lead a growing AI product team, and oversee multiple concurrent initiatives that are already delivering measurable business value.

The ideal candidate combines strategic product leadership with hands-on execution and has played a direct role in designing and delivering AI-powered products from concept through production.

Key Responsibilities:

• Lead the product strategy and roadmap for enterprise AI transformation initiatives
• Partner with senior business leaders to identify opportunities for AI-driven process redesign
• Translate business objectives into scalable product and solution blueprints
• Oversee multiple AI product initiatives simultaneously, ensuring quality, speed, and business impact
• Manage and mentor a team of AI Product Managers
• Lead discovery efforts with business stakeholders to map current-state processes and identify transformation opportunities
• Evaluate and select external engineering partners and maintain accountability throughout delivery
• Establish quality assurance, evaluation, and governance frameworks for AI solutions
• Partner with technical teams to define success metrics, testing methodologies, and production-readiness standards
• Drive stakeholder adoption, executive alignment, and organizational change management

What We’re Looking For:

• 8-12 years of Product Management experience
• Proven track record delivering AI-enabled products from concept through production deployment
• Demonstrated experience contributing directly to AI solution design, architecture discussions, or product blueprint creation
• Experience leading multiple concurrent product initiatives in fast-paced environments
• Experience managing Product Managers or leading product teams
• Strong vendor management experience and ability to guide third-party delivery partners
• Executive-level communication, presentation, and stakeholder management skills
• Ability to balance strategic vision with hands-on execution

Nice-to-Have:

• Experience in fintech, lending, payments, risk technology, or other regulated industries
• Knowledge of AI governance, explainability, compliance, or model risk concepts
• Familiarity with agentic systems, AI evaluation frameworks, benchmark testing, and modern LLM applications
• Experience scaling AI products within high-growth technology companies

Benefits:

• Additional performance-based cash compensation potential
• Executive visibility and influence across the organization
• Opportunity to build and lead a growing AI product function
• Exposure to large-scale AI transformation initiatives with significant business impact

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Job Title: AI Product Manager

Location: SF Bay Area (Hybrid 2-3 days/week in office)

Salary: $190-210k base

Overview:

A growing financial technology organization is expanding its AI product team and seeking two AI Product Managers to lead business process transformation initiatives powered by AI.

This is not a role focused on AI experimentation or internal productivity tools. The organization already has production AI systems delivering measurable business impact and is now extending those capabilities across multiple business functions. You will own the full lifecycle of AI initiatives, from discovery and process redesign through implementation, quality control, and adoption.

This opportunity is ideal for a hands-on product manager who enjoys ambiguity, thrives in fast-moving environments, and wants to build deep expertise in AI product development while working closely with business leaders, data scientists, and engineering partners.

Key Responsibilities:

• Lead discovery sessions with business stakeholders to understand current workflows, pain points, exceptions, and opportunities for transformation
• Redesign business processes from a 0-to-1 perspective, leveraging AI to fundamentally improve outcomes rather than simply automate existing workflows
• Create detailed product requirements, design briefs, process maps, and solution specifications
• Partner with data science and engineering teams to define AI capabilities, evaluation criteria, and success metrics
• Manage external engineering partners throughout the development lifecycle and ensure delivery aligns with product requirements
• Design quality assurance and evaluation frameworks to assess AI outputs before deployment
• Coordinate pilot programs, user testing, and adoption strategies
• Measure business impact and continuously refine solutions post-launch
• Build strong relationships with stakeholders and drive alignment across technical and non-technical teams

What We’re Looking For:

• 3-5 years of experience in Product Management, Product Strategy, Product Operations, or a related discipline
• Direct experience working on AI-powered products or AI-driven business process transformation initiatives
• Experience leading discovery efforts and gathering requirements from business stakeholders and subject matter experts
• Proven ability to create specifications, requirements documents, design briefs, or other product artifacts that have been used to build and launch solutions
• Strong problem-solving skills with the ability to structure ambiguous challenges independently
• Experience balancing strategic thinking with hands-on execution
• Excellent stakeholder management and communication skills

Nice-to-Have:

• Experience within fintech, lending, payments, insurtech, healthtech, or other regulated industries
• Experience working with external vendors, consultants, or engineering partners
• Familiarity with AI evaluation methodologies, testing frameworks, or model validation approaches
• Exposure to LLM-enabled products, AI agents, or intelligent automation platforms

Benefits:

• Additional performance-based cash compensation potential
• Opportunity to join a company actively deploying AI at scale across multiple business functions
• High degree of ownership and visibility within a rapidly growing AI product organization

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ML Scientist / Researcher

Oncology AI · Foundation Models · Life Sciences

Remote

About the Role

We are building foundation models trained on human tumor biology – one of the most consequential and technically demanding challenges at the intersection of AI and medicine. As an ML Scientist, you will be a core research contributor designing and training these models across multimodal omics datasets, partnering closely with biologists and fellow research scientists to advance the state of the art in oncology AI.

This is a research-forward role for scientists who want their work to matter. We are looking for people with a track record of research excellence – those who have gone deep on model architecture, training dynamics, and rigorous experimental design. If you have built models from the ground up and published findings, we want to talk.

What You’ll Do

• Design and train large-scale foundation models on multimodal biological datasets, including genomics, transcriptomics, and other omics modalities
• Collaborate deeply with computational biologists, research scientists, and domain experts to translate biological questions into tractable modeling problems
• Drive the full research lifecycle: hypothesis formation, experimental design, model development, and rigorous analysis of results
• Contribute to agentic AI systems that reason over complex biological data
• Communicate findings internally and, where appropriate, through peer-reviewed publication

What We’re Looking For

Must-Haves

• Strong research background, typically evidenced by a PhD in machine learning, computational biology, statistics, physics, or a related quantitative field – or equivalent industry research experience
• Demonstrated ability to build and train models end-to-end, including experimental analysis and iteration
• Research excellence: first-author publications at top ML, AI, or computational biology venues are a strong positive signal
• Deep familiarity with foundation model concepts: pretraining, self-supervised learning, attention mechanisms, and large-scale training
• Comfort working at the intersection of biology and machine learning – even without a formal biology degree

Nice-to-Haves

• Experience with biological or omics data (genomics, proteomics, pathology imaging, etc.)
• Prior work in multimodal learning or multi-omics integration
• Familiarity with agentic AI systems or tool-use frameworks
• Background in oncology or disease biology

What This Role Is Not

This is not a production ML engineering or MLOps role. We are not looking for candidates whose primary experience is model deployment, serving infrastructure, or engineering-heavy systems work. The emphasis here is firmly on research depth and model development.

Compensation & Location

Base Salary: $250,000 – $288,000 (depending on experience) + equity

Location: Remote-friendly; office in South San Francisco, CA

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About the Role

This is a high-visibility, high-impact individual contributor role sitting at the intersection of machine learning, clinical data science, and translational biology. You will lead the company’s drug response prediction work – one of the most consequential and technically demanding initiatives in our portfolio.

This is not a pure research role, and it is not a pure engineering role. It requires someone who can move fluidly between rigorous quantitative analysis and the realities of working with large, messy, real-world datasets – someone who can apply state-of-the-art methods without losing sight of what actually works in practice.

The Problem We’re Solving

There are thousands of drugs that work – but only for a small subset of patients, and we largely don’t know why. We are building a systematic engine of understanding between drugs and biology: one that can decode the relationship between a patient’s biology and their response to treatment, and translate that into insights that immediately improve care.

This is foundational, mission-critical work. The person in this role will directly shape how we approach this problem – the methods we use, the data we bring to bear, and the analytical frameworks we build. It is an opportunity to have genuine scientific and clinical impact.

What You Will Do

Drug Response Prediction

• Lead the design and execution of computational approaches to predict drug response across patient populations
• Develop and validate predictive models using real-world clinical data, integrating diverse data modalities
• Identify biological and clinical signals that differentiate responders from non-responders
• Translate modeling outputs into actionable biological and clinical insights

Data & Analysis

• Work extensively with real-world data (RWD) – EHR, claims, clinical trial data – at scale
• Build robust analytical pipelines that handle messy, heterogeneous, and incomplete data
• Apply appropriate statistical frameworks to ensure rigor and reproducibility
• Contribute to the development and evolution of internal data infrastructure and analysis tooling

Modeling & Methods

• Apply and adapt state-of-the-art ML methods – including causal inference, survival analysis, and multi-omics integration – to biological and clinical problems
• Balance methodological sophistication with practical performance constraints
• Evaluate trade-offs between model complexity, interpretability, and real-world utility
• Stay current with the literature and bring relevant advances into the team’s practice

Cross-Functional Collaboration

• Work closely with biologists, clinical scientists, and data engineers to design studies and interpret results
• Communicate findings clearly across both technical and non-technical audiences
• Contribute to a collaborative, intellectually rigorous team culture

What We’re Looking For

Required

• PhD in a quantitative discipline – computational biology, biostatistics, bioinformatics, computer science, physics, statistics, or a related field; open to diverse backgrounds
• Fluent in Python – comfortable writing clean, well-structured code for data analysis and modeling
• Real-world data experience – hands-on work with EHR, claims, or other large-scale clinical datasets
• Ability to work with messy data at scale – experience wrangling, cleaning, and extracting signal from imperfect data
• Strong quantitative intuition – both in modeling design and in interpreting results critically
• Industry experience – 4+ years; 6+ preferred, ideally with both large pharma/biotech and startup exposure
• Mission-driven – genuinely motivated by the opportunity to improve patient outcomes through better science

Strongly Preferred

• Experience with causal inference methods (propensity scoring, instrumental variables, difference-in-differences, etc.)
• Background in statistics, epidemiology, or biostatistics alongside ML
• Familiarity with pharmacogenomics, multi-omics, or translational biology
• Experience contributing to or extending data infrastructure and analysis frameworks
• Track record of working across interdisciplinary teams (biology, chemistry, clinical)
• Startup experience – comfort with ambiguity, ownership, and moving quickly

Background & Experience Profile

We are open to a wide range of PhD backgrounds – what matters most is strong quantitative and analytical foundations, genuine intellectual curiosity, and the ability to work rigorously with complex biological and clinical data. Prior biology experience is not required, but candidates with some exposure to biological or clinical domains will be viewed favorably.

The ideal candidate has spent time in both large pharma/biotech (where they developed rigor and depth) and a startup environment (where they developed speed and ownership). If you haven’t done both, a trajectory that moves toward increasing independence and scope is what we’re looking for.

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