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This is an opportunity for a Data Operations Manager to join a research and analytics business focused on improving data delivery, automation, and operational processes. You’ll work across a range of data projects, helping to drive efficiency and support the continued development of the data function.

The Company
They are an established insights and research organisation that works with clients across multiple sectors. The business is investing in technology, automation, and operational improvement to support future growth. You will join a collaborative team where data and technology play a key role in project delivery.

The Role
You will be responsible for managing data operations and supporting the delivery of quantitative research programmes.
Key responsibilities include:

• Managing survey scripting, data processing, reporting operations, and workflow delivery
• Improving automation processes, tools, and data pipelines
• Identifying delivery risks and supporting quality assurance processes
• Coordinating priorities across multiple projects
• Working with stakeholders to ensure successful project delivery
• Supporting the development of operational processes and best practices
• Using technology to improve efficiency and reduce manual workloads

Your Skills & Experience

• Commercial experience within data operations, research operations, or data processing
• Hands-on experience using SPSS for data analysis and reporting
• Experience with Python and SQL for data manipulation, automation, and workflow improvement
• Strong data cleaning, transformation, and quality assurance skills
• Experience with survey scripting platforms such as Qualtrics, Forsta, Decipher, or similar
• Ability to manage multiple projects and deadlines
• Strong communication and stakeholder management skills
• Experience with APIs or workflow automation tools would be beneficial

What They Offer

• Salary up to £55,000
• Hybrid working with 2 days per week in the London office
• Opportunities for career development and progression

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DATA PLATFORM ARCHITECT

up to £100,000 + Benefits
London (Hybrid)

This is a fantastic opportunity to join a large-scale consumer-focused digital organisation, taking ownership of the architectural direction of a modern data platform that sits at the heart of business decision-making, digital growth and AI innovation.

THE COMPANY:

Our client is a highly recognised international digital business with a strong consumer presence and a global audience. Operating across multiple regions, the organisation has invested heavily in its data capabilities and is continuing to transform how data powers decision-making, customer experiences and emerging AI initiatives.
As part of a wider data and technology transformation, they are looking for an experienced Data Platform Architect to help shape the future of their data ecosystem and engineering standards.

THE ROLE:

You will take ownership of data platform architecture, standards and solution design across a growing engineering function. Working closely with platform engineers, analytics engineers, product managers, governance teams and senior stakeholders, you will help ensure data is scalable, trusted and ready to support AI-driven initiatives.
Key responsibilities include:

• Designing and evolving the organisation’s cloud-based data platform architecture
• Assessing and recommending new technologies, tools and data solutions across the business
• Defining architectural standards, best practices and reusable patterns across engineering teams
• Supporting data governance, security, metadata and data quality initiatives
• Providing hands-on guidance around Terraform, dbt, CI/CD, DataOps and platform engineering practices
• Partnering with stakeholders to understand requirements and translate them into scalable technical solutions
• Driving improvements around data lineage, observability, modelling standards and platform governance
• Supporting AI readiness programmes, semantic layer initiatives and self-service data capabilities

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Data Platform Architecture or Data Solutions Architecture experience within modern cloud environments
• Strong experience with Terraform and Infrastructure as Code (IaC)
• Commercial experience using dbt within modern ELT ecosystems
• Strong understanding of DataOps, CI/CD and engineering best practices
• Experience working with governance, security, privacy or risk functions
• Excellent stakeholder management skills with the ability to influence, coach and educate technical team

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience, alongside a comprehensive benefits package and the opportunity to play a key role in shaping a modern, AI-ready data platform.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Senior Pricing Analyst

Hybrid – London, Leicester or Bexhill
Competitive Salary + Bonus + Excellent Benefits

I’m hiring multiple Senior Pricing Analysts to join a major UK insurer investing heavily in pricing, analytics, and data capability.

This is a fantastic opportunity for someone with a background in insurance pricing, segmentation, and portfolio performance who wants to work in a business where pricing plays a central role in commercial strategy.

The opportunity

You’ll be part of a growing Pricing, Data & Analytics function focused on improving pricing sophistication, portfolio performance, and customer outcomes across insurance products.

This role combines:

• Pricing strategy
• Segmentation
• Portfolio analytics
• Performance monitoring
• Commercial insight

You’ll have the opportunity to directly influence pricing decisions and see your work translate into measurable business outcomes.

What you’ll be doing

Pricing Analysis & Segmentation

• Develop and refine pricing segmentation approaches across products and customer groups.
• Analyse portfolio performance to identify pricing opportunities and emerging risks.
• Apply pricing adjustments and enhancements to improve competitiveness and profitability.

Monitoring & Optimisation

• Build monitoring frameworks to track pricing effectiveness and portfolio health.
• Identify optimisation opportunities and drive continuous improvement initiatives.
• Support testing and experimentation to improve segmentation and pricing outcomes.

Stakeholder Engagement

• Work closely with Pricing, Underwriting, Commercial, and Product teams.
• Translate analytical findings into clear business recommendations.
• Influence strategic decisions through evidence-led pricing insight.

What they’re looking for

Essential

• Pricing, risk pricing, or insurance analytics experience.
• Strong analytical and quantitative problem-solving skills.
• Experience working with segmentation and portfolio performance analysis.
• Ability to communicate complex analytics clearly to stakeholders.
• Strong stakeholder management and influencing skills.

Technical skills

Experience with one or more of:

• Python
• SQL
• R
• SAS

Ideal backgrounds

• Personal Lines Insurance
• Motor Pricing
• Home Pricing
• Risk Pricing
• Insurance Portfolio Analytics

Why join?

• Highly respected pricing function
• Large investment in Data & Analytics capability
• Strong career progression opportunities
• Opportunity to shape the future of pricing
• Significant visibility and ownership
• Collaborative culture with strong support for development

Benefits

• Bonus scheme
• Flexible hybrid working
• Private medical insurance and wellbeing support
• Matched pension contributions up to 10%
• 25 days holiday plus bank holidays
• Additional health, dental, lifestyle and financial wellbeing benefits

If you’re currently working in Pricing, Risk Pricing, or Insurance Analytics and want to join a business where pricing is genuinely viewed as a strategic capability, I’d love to speak with you.

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Senior Pricing Analyst
Hybrid – Leicester (1x day per week)
£45,000 – £60,000 + bonus

Are you a commercially minded analyst looking to make a tangible impact through data-driven pricing decisions? This is an excellent opportunity to join a well-established organisation that is investing heavily in its analytics capabilities and offering genuine ownership, visibility, and career development within a high-performing team.

The Company
They are a forward-thinking organisation that places data and analytics at the centre of business decision-making. With continued investment in technology, pricing capability, and innovation, they are focused on delivering fair customer outcomes while driving sustainable business growth.
They foster a collaborative environment where analytical expertise is valued, new ideas are encouraged, and individuals have the opportunity to influence strategic decisions. This is an exciting time to join a growing team that is committed to continuous improvement and professional development.

The Role
As a Senior Pricing Analyst, you will play a key role in developing and enhancing pricing strategies that improve commercial performance and support business objectives.
Key responsibilities include:

• Designing and refining pricing segmentation strategies across products and customer groups
• Analysing portfolio performance to identify pricing opportunities, trends, and emerging risks
• Developing monitoring frameworks to assess pricing effectiveness and portfolio health
• Delivering actionable insights that improve pricing accuracy and commercial outcomes
• Supporting testing and optimisation initiatives to enhance pricing performance
• Working closely with underwriting, product, commercial, and analytics teams to influence business decisions
• Communicating complex analytical findings to both technical and non-technical stakeholders
• Contributing to the ongoing development of pricing and analytics capabilities across the business

Your Skills & Experience

• Strong analytical experience within pricing, modelling, forecasting, or quantitative analysis
• Understanding of insurance pricing principles, segmentation methodologies, or similar commercial analytics functions
• Experience using analytical tools such as Python, SQL, R, SAS, or comparable technologies
• Ability to interpret complex datasets and translate findings into clear business recommendations
• Strong stakeholder management and communication skills
• Commercial awareness and a data-driven approach to problem solving
• Proactive mindset with the ability to manage competing priorities in a fast-paced environment

What They Offer

• Salary of £45,000 – £60,000
• Hybrid working model with just 1 day per week in the Leicester office
• Performance-related bonus
• Generous pension contribution
• Life assurance and income protection
• Healthcare and wellbeing support
• Flexible benefits package
• Excellent learning and development opportunities
• Clear progression routes within a growing analytics function
• Supportive and collaborative working environment

How to Apply
If you’re interested in this Senior Pricing Analyst opportunity and would like to work in a business where analytics plays a key strategic role, apply today to learn more.

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Senior Customer Analyst

London (Hybrid – 2x Days a Week in Office)

£45,000-£50,000

The Company

This is a leading UK consumer and retail business with a significant physical and digital presence and millions of customers; the business is investing heavily in its data and analytics capabilities, with increasing demand from senior stakeholders to use data to make better, faster commercial decisions. The wider analytics function brings together Customer Analytics, Data Science, Data & AI, Marketing Analytics, Pricing and Promotional Analytics, giving the team exposure to a broad range of commercial challenges. The Customer Analytics team sits at the heart of this function, helping the wider business better understand its customers and use customer data to inform decisions across the customer lifecycle.

The Role

As a Senior Customer Analyst, you will sit within the Customer Analytics team, working closely with stakeholders across the business to understand customer behaviour, identify trends and turn data into clear commercial recommendations. This is a broad customer analytics role, covering the core areas of customer health, lifecycle, segmentation, profiling and behavioural analysis, with the opportunity to work on more advanced analytical projects. You will be responsible for interpreting complex data and presenting findings in a clear and impactful way, helping stakeholders understand what is happening with customers, why it is happening and what the business should do as a result.

You will:

• Deliver customer reporting and analysis across key customer health and performance metrics
• Conduct deep-dive analysis to understand customer behaviour and identify trends and opportunities
• Work on customer segmentation, profiling and grouping to support better commercial decision-making
• Translate complex analytical findings into clear, actionable insight and recommendations
• Apply statistical and advanced analytical techniques including regression, clustering, predictive modelling and campaign measurement
• Have an understanding of techniques such as k-means, random forest and linear regression, with the ability to interpret and utilise modelling outputs
• Support forecasting and optimisation activity across the wider analytics function
• Work closely with stakeholders across customer, marketing, commercial and other business functions
• Help stakeholders make better decisions based on customer data and real-time events
• Communicate analytical findings effectively to both technical and non-technical audiences
• Support the continued development of the customer analytics capability across the business

The role is particularly suited to someone who enjoys taking a commercial question, interrogating the data and turning it into a clear story and recommendation.

Your Skills & Experience

• Strong experience working in Customer Analytics / Customer Insight
• Strong SQL skills and experience working with large datasets
• Strong data visualisation and presentation skills
• Experience with customer segmentation, profiling and behavioural analysis
• Experience applying advanced analytical techniques such as regression, clustering and predictive modelling
• Understanding of statistical or data science techniques and the ability to interpret model outputs
• Strong stakeholder management and communication skills
• Comfortable translating complex analysis into clear commercial recommendations
• A genuine interest in customer behaviour and how this impacts sales, loyalty, retention and long-term customer value
• Experience within retail, eCommerce or another consumer-facing environment would be highly beneficial

The successful candidate will be a strong all-round insight person: technically capable, commercially minded and confident communicating their findings to stakeholders.

The Benefits

• £45,000-£50,000

How to Apply

If you’re an experienced Customer Analyst with strong SQL, insight and stakeholder management skills, and you’re looking for a role where your analysis can directly influence commercial decisions, I’d be keen to hear from you! 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

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Digital Analyst – 12-Month FTC

London (Hybrid – 2x Days a Week in Office)

£45,000-£50,000

The Company

A leading UK financial services and wellbeing business is looking for a Digital Analyst to join its Marketing & Digital Analytics function on a 12-month fixed-term contract. The business has a broad digital estate spanning its website, online quote and buy journeys, digital tools, web forms and logged-in customer platforms. The Digital Analytics team works closely with product, marketing and acquisition teams to understand digital behaviour and identify opportunities to improve customer journeys and conversion. This is a 12-month FTC role, with the potential for the successful candidate to move into a permanent opportunity if they perform well during the contract.

The Role

This is a hands-on Digital Analyst position with a strong focus on GA4, GTM and digital analytics. You will support product teams across a variety of functions, as well as marketing, acquisition and CRO teams. You’ll use digital data to identify opportunities, make recommendations and help improve digital experiences and conversion. This is not a pure GTM implementation role; they are looking for a well-rounded Digital Analyst who is comfortable with both tracking and analysis.

You will:

• Analyse website and app data to identify customer and commercial opportunities.
• Support product teams with insight that feeds into development roadmaps and optimisation programmes.
• Work with marketing and acquisition teams to understand digital performance.
• Support the CRO team with analytics and make recommendations to improve conversion.
• Identify opportunities for testing and experimentation.
• Manage and maintain tracking through Google Tag Manager.
• Work with data layers, tags, triggers and custom variables.
• Support Google Analytics 4 and wider digital measurement.
• Identify and troubleshoot tagging and data quality issues.
• Present insights and recommendations to stakeholders across the business.
• Work across multiple datasets and projects, prioritising work according to business requirements.

Your Skills & Experience

• Strong hands-on Google Analytics 4 experience.
• Good experience with Google Tag Manager, including tags, triggers, custom variables and data layers.
• Proven experience in digital / web analytics.
• Ability to turn digital behaviour into clear, actionable recommendations.
• Strong stakeholder management and communication skills.
• Experience working with product, marketing, acquisition or CRO teams.
• Good understanding of conversion optimisation and digital customer journeys.
• Looker Studio experience would be beneficial.
• Power BI is also relevant.
• SQL / BigQuery is a nice-to-have rather than essential.
• Experience with app analytics or digital product analytics would be advantageous.
• Experience with Mixpanel would be useful.
• Adobe Analytics experience could also be relevant.

The Benefits

• £45,000-£50,000

How to Apply

If you’re an experienced Digital Analyst with strong GA4 and GTM skills and are looking for a role where you can work across product, marketing, acquisition and CRO, please apply now

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Senior Pricing Analyst
London – Hybrid, 1 day per week office based
Up to £50,000 + Bonus + Excellent Benefits

Are you a commercially minded pricing professional looking to take ownership of impactful projects within a highly analytical environment? This is an exciting opportunity to join a well-established business that continues to invest heavily in its pricing, data and analytics capabilities. You’ll work on high-profile initiatives, influence pricing strategy, and help shape the future of a growing pricing function.

The Company
This organisation is a leading consumer-focused business with a strong reputation for innovation, analytics and data-driven decision making. They have experienced significant growth in recent years and continue to invest heavily in technology, pricing and advanced analytics. With an established culture of collaboration and continuous improvement, they offer a supportive environment where analytical talent can thrive. The pricing team plays a key strategic role in driving business performance and delivering customer value.

The Role
As a Senior Pricing Analyst, you will work across a range of pricing initiatives, helping to optimise pricing strategy, improve portfolio performance and deliver commercial outcomes.

Key responsibilities include:

• Developing pricing analytics and segmentation strategies across a range of products and customer groups
• Identifying pricing opportunities through detailed performance analysis and market insight
• Supporting pricing optimisation projects from conception through to implementation
• Delivering clear analytical recommendations to both technical and non-technical stakeholders
• Working closely with pricing, underwriting, commercial and data science teams
• Monitoring portfolio performance and recommending actions to improve business outcomes
• Taking ownership of projects, market segments or strategic initiatives with visible business impact
• Supporting and mentoring junior team members where appropriate

Your Skills & Experience

You will have:

• Experience in pricing analytics, pricing strategy, modelling, or quantitative analysis
• Come from an Insurance, Travel, Telecoms, Lending or Gambling company
• Strong stakeholder management and communication skills
• The ability to lead projects and deliver outcomes from initial scoping through to implementation
• Commercial awareness and a curious, problem-solving mindset
• Experience analysing large datasets and translating findings into actionable insight
• Strong SQL and/or Python skills
• Experience within insurance pricing is highly desirable, although candidates from other pricing or analytical backgrounds will also be considered
• An interest in mentoring and supporting the development of others

What They Offer

• Structured career progression within a growing pricing and analytics function
• Exposure to innovative pricing projects across multiple product lines
• Access to a highly skilled analytics and data science community

How to Apply
If you’re interested in building your pricing career within a data-driven organisation that offers genuine ownership, development and progression opportunities, please apply today through Harnham.

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Marketing Analytics Manager

London (Hybrid – 2x Days a Week in Office)

£65,000-£75,000

The Company

This is a leading UK consumer and retail business with a significant physical and digital presence and millions of customers. The business is investing heavily in its data and analytics capabilities, with increasing demand from senior stakeholders to use data to make better, faster commercial decisions. The wider analytics function brings together Marketing Analytics, Digital Analytics, Customer Analytics, Data Science, Data & AI, Pricing and Promotional Analytics, giving the team exposure to a broad range of commercial challenges. Loyalty is a key strategic priority for the business, with significant investment and senior-level backing behind its loyalty programme. The focus is on using data to better understand what drives customer loyalty and value, and to build stronger, longer-term relationships with customers.

The Role

As the Marketing Analytics Manager, you will take ownership of the analytics strategy for the loyalty programme, working closely with Marketing, Ecommerce, Product, Customer and Data Science teams to understand what drives customer behaviour and translate this into clear commercial action. This is an individual contributor role with significant ownership and influence. You will be the key analytics partner for loyalty, helping the business understand programme performance, improve targeting and personalisation, and make better decisions around promotions, communications and customer strategy.

You will:

• Define and own the analytics strategy for the loyalty programme, developing a deep understanding of how it drives omnichannel behaviour, frequency, retention and customer lifetime value
• Build insight around different customer and loyalty segments, identifying behavioural groups and opportunities to drive greater value
• Measure the impact and value of loyalty initiatives and targeted interventions, working closely with Marketing and Data Science
• Support more intelligent, data-led targeting across promotional and discounting activity
• Help move the business away from broad-based offers towards more relevant and value-accretive activity for loyalty members
• Own and develop self-serve reporting and dashboards using Power BI, providing trusted and timely visibility of programme performance and customer behaviour
• Design and evaluate tests across loyalty mechanics, communications and rewards to understand what drives engagement and retention
• Lead the analytical approach to questions around what data is needed, how it should be used and what commercial value it can create
• Act as the primary analytics partner for loyalty across Marketing, Ecommerce and Product
• Influence key decisions around promotions, targeting and wider customer strategy
• Set the standard for how loyalty insight is produced, communicated and acted upon
• Support the development and sharing of best practice across the wider analytics team

This role is ideal for someone who enjoys combining hands-on analysis with strategic thinking, taking a commercial question and using data to influence what the business does next.

Your Skills & Experience

• Solid experience in Marketing Analytics, Customer Analytics, CRM or Loyalty Analytics
• Strong SQL skills and experience working with large datasets
• Strong data visualisation experience, ideally with Power BI
• Strong understanding of loyalty and CRM metrics, including frequency, retention, lifetime value and RFM
• Experience with customer segmentation and understanding behavioural differences across a customer base
• Experience with testing, measurement and ideally incrementality
• Strong stakeholder management skills, with the confidence to influence challenging and demanding stakeholders
• Ability to translate complex analytical findings into clear, commercially focused recommendations
• Comfortable working across both digital and physical/store channels
• Experience within retail, eCommerce or another consumer-facing environment would be highly beneficial
• Experience with Databricks, Snowflake, BigQuery or similar cloud data platforms would be advantageous
• Python would be a plus

The successful candidate will be a commercially minded Marketing Analytics professional who can operate strategically, but is still comfortable getting into the detail of the data and delivering analysis themselves.

The Benefits

• £65,000-£75,000

How to Apply

If you’re an experienced Marketing Analytics, CRM, Customer or Loyalty Analytics professional with strong SQL and stakeholder management skills, and you’re looking for a role where your analysis can directly influence customer and commercial strategy, I’d be keen to hear from you! Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

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Machine Learning Scientist

Overview

A research-driven organisation is seeking a Machine Learning Research Scientist to help develop next-generation foundation models for complex scientific and multimodal datasets. This individual contributor position is ideal for an independent researcher who excels at identifying meaningful problems, designing rigorous experiments, building models, and translating findings into actionable insights.
The role combines advanced machine learning research with practical model development. Success in this position will be measured primarily by scientific contribution, research quality, and the ability to generate new insights through experimentation.

Key Responsibilities

• Design, train, and evaluate large-scale foundation models across diverse multimodal datasets.
• Develop innovative methods for combining information from multiple data sources, modalities, and levels of abstraction.
• Create evaluation frameworks, benchmark tasks, and performance metrics to assess model effectiveness.
• Rapidly prototype research concepts and determine which ideas have the highest potential impact.
• Partner with domain experts, quantitative researchers, and machine learning practitioners to solve complex problems.
• Assess and apply emerging AI approaches, including large language models and autonomous agent-based systems, to research workflows.
• Communicate technical findings to both specialist and non-specialist audiences.
• Contribute to scientific publications, conference submissions, presentations, and broader research engagement activities.
• Lead projects from concept formulation through experimentation, analysis, and final conclusions.

Required Qualifications

Research Excellence

Candidates should demonstrate a strong record of original machine learning research through one or more of the following:

• First-author publications at leading machine learning, artificial intelligence, computer vision, or natural language processing conferences.
• Significant research contributions within highly regarded industrial research environments.
• Doctoral-level research in machine learning, computer science, statistics, artificial intelligence, or another rigorous quantitative discipline.

Key evaluation criteria include:

• Ability to identify important research questions.
• Technical rigor and depth of research execution.
• Evidence of innovative and independent thinking.

Execution Skills

The ideal candidate can:

• Independently move from concept to experiment.
• Implement and train machine learning models.
• Design robust evaluation methodologies.
• Perform comprehensive analysis of experimental outcomes.
• Iterate quickly based on evidence and results.
• Drive complete research efforts rather than contributing only a small portion of a larger initiative.

Academic Background

Strongly preferred:

• PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, Computational Neuroscience, Physics, or another quantitative field.

Candidates without a PhD may be considered if they possess an exceptional research record.

Technical Expertise

High-Priority Areas

Experience in one or more of the following:

• Foundation Models
• Self-Supervised Learning
• Representation Learning
• Computer Vision
• Multimodal Learning
• Large Language Models
• Generative AI
• Diffusion Models
• Flow-Based Generative Modelling
• Autoregressive Models
• Scientific Machine Learning

Additional Relevant Experience

Experience in any of the following areas is beneficial:

• Robotics
• Autonomous Systems
• Computational Biology
• Molecular Modelling
• Protein Structure Prediction
• Molecular Interaction Prediction
• Structural Biology
• Biochemistry
• Quantitative Physics
• Astrophysics
• Other mathematically intensive scientific disciplines

Preferred Qualifications

• Experience applying machine learning to scientific or research-focused domains.
• Familiarity with computational life sciences, chemistry, drug discovery, or related fields.
• Demonstrated interest in using AI to accelerate scientific discovery.
• Strong written and verbal communication skills with the ability to explain complex concepts to diverse audiences.

Domain Knowledge

Prior domain expertise in life sciences is not required. The organisation prioritises machine learning excellence and research capability. Strong candidates may come from areas such as computer vision, language modelling, robotics, reinforcement learning, autonomous systems, or scientific AI.
Candidates should be able to articulate their interest in applying machine learning techniques to scientific challenges and emerging research opportunities.

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