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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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Associate Information Analyst

Bournemouth/Hybrid

Up to £28,000

Overview

A strong entry point into a data career, this role offers hands on SQL work alongside real business exposure. You will develop skills in data requirements, quality, and stakeholder engagement while working across a range of projects.

The Company

They are a well-established UK based organisation with a growing data function and strong investment in analytics. The business promotes a collaborative environment where data plays a key role in decision making. You will join a supportive team with clear opportunities to learn and progress.

The Role & Responsibilities

• Gather and interpret data requirements from business stakeholders
• Translate needs into clear data specifications
• Use SQL for data interrogation, testing, and validation
• Support data quality improvement and issue resolution
• Work on both transformation projects and BAU changes
• Collaborate with engineering, analytics teams, and business users
• Build or support basic Power BI or Tableau outputs when needed

Your Skills & Experience

• Strong SQL fundamentals
• Experience using Excel for data analysis
• Exposure to BI tools such as Power BI or Tableau
• Ability to balance technical work with stakeholder communication
• Curious, proactive, and confident asking questions

How to Apply

Apply now to start or grow your career in a business facing data role.

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Associate Information Analyst
Bournemouth | Hybrid working (2 days per week on-site) | £28,000 – £30,000. No sponsorship offered now or in the future!

This is not a data analyst position!

This is a great opportunity for someone early in their data or information career who wants exposure beyond dashboards and reporting. You will sit at the intersection of business and data, gaining hands-on experience with requirements gathering, data quality and stakeholder engagement within a supportive analytics environment. If you enjoy understanding how data flows through systems and asking the right questions to solve business problems, this role offers strong foundations and long-term progression.

The Company

They are a well-established UK organisation operating in the health and insurance space, with a strong focus on using data to improve decision-making and customer outcomes. The business has a collaborative, purpose-led culture and a growing analytics community spread across multiple UK locations. Data plays a central role in how teams work, with ongoing investment in platforms, people and transformation initiatives.

The Role

• Act as a bridge between business stakeholders and data or engineering teams.
• Gather, clarify and document data requirements, ensuring business needs are clearly understood.
• Use SQL to interrogate data, support validation, testing and issue resolution.
• Assess the impact of changes to existing data assets and support continuous improvements.
• Contribute to larger data and systems change projects as well as smaller BAU enhancements.
• Support the creation of basic data outputs and occasional dashboards, where required.
• Work closely with analysts, engineers and architects across a range of initiatives.

Your Skills and Experience

• Strong foundational SQL skills for data interrogation and validation.
• An understanding of how data is structured and moves through systems.
• Exposure to BI tools such as Power BI or Tableau.
• Confidence communicating with both technical and non-technical stakeholders.
• A curious, problem-solving mindset with an interest in how data supports the business.
• Comfortable working across requirements, testing and data quality rather than pure reporting.

What They Offer

• Competitive salary between £28,000, with flexibility up to £30,000.
• Discretionary bonus scheme paid biannually.
• Hybrid working model with two days per week in the Bournemouth office.
• Comprehensive benefits package aligned with the wider business.
• Clear development pathway within an established data and information function.

How to Apply

If you are looking to build a career in information and data, with exposure to real business change, please apply via the organisation’s online application process.

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ASSOCIATE INFORMATION ANALYST
BOURNEMOUTH/HYBRID
UP TO £28,000

This is a standout opportunity for an early career data professional to step into a role that goes beyond dashboards and reporting. You will sit at the intersection of business and data, gaining exposure to end to end data processes while building strong stakeholder and technical skills. If you enjoy asking questions, understanding how data drives decisions, and working on meaningful change, this role offers an excellent foundation for long term progression.

ROLES AND RESPONSIBILITIES:
The Associate Information Analyst will:

• Act as a bridge between business stakeholders and technical teams, translating requirements into clear data needs
• Support requirements gathering through workshops, interviews, and analysis
• Work closely with data engineers to ensure data flows and solutions are correctly implemented
• Write and use SQL to interrogate data, validate outputs, and support testing activities
• Assist with data validation and quality assurance processes
• Contribute to both transformation projects and ongoing improvements
• Support the maintenance and monitoring of data outputs and pipelines
• Help diagnose and resolve data issues while communicating effectively with stakeholders

YOUR SKILLS AND EXPERIENCE:

• Strong foundation in SQL for data analysis and validation
• Understanding of how data is structured and flows through systems
• Exposure to BI tools such as Power BI or Tableau
• Confident using Excel for data interrogation and analysis
• Strong problem solving ability with a curious and analytical mindset
• Comfortable engaging with stakeholders and asking insightful questions
• Interest in working across both technical and business focused tasks

APPLY BELOW

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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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Principal Data Engineer

Location: USA Remote
Pay: $220k- $240k base salary (no bonus)

Overview

We’re hiring a senior‑level Data Engineer to join a high‑performing, multi‑disciplinary engineering team building modern, enterprise‑grade data platforms. This role is designed for an experienced technical leader who can define data strategy, own platform decisions end‑to‑end, and drive real production outcomes across complex, in‑flight systems.
You’ll play a critical role in modernising data platforms that support AI‑driven products, with a strong emphasis on performance, reliability, governance, and security. This is a hands‑on leadership role where architecture, delivery, and mentorship all matter.

Responsibilities

• Define and lead data architecture across data lakes, warehouses, and pipelines
• Design, build, and optimise scalable batch and real‑time data pipelines
• Establish and enforce data governance, quality, and compliance standards
• Implement monitoring, logging, alerting, and CI/CD workflows for data systems
• Drive data platform modernisation with a focus on performance, cost, and scalability
• Design data contracts and event‑driven integrations with backend and platform teams
• Build production data pipelines supporting AI/ML systems, including embeddings, vector stores, RAG workflows, feature stores, and training/inference data flows
• Partner with engineering and leadership teams to translate data strategy into execution
• Mentor junior and mid‑level engineers and raise overall data engineering standards

Must‑Have Qualifications

• 7+ years of professional experience in data engineering, including ownership of complex data platforms
• Strong background in distributed systems and data architecture
• Expert‑level proficiency in Python, SQL, and either Scala or equivalent JVM‑based languages
• Extensive experience with cloud‑native data platforms and enterprise data warehousing
• Hands‑on experience with streaming and real‑time data systems (e.g., Kafka, Kinesis, Pub/Sub)
• Proven experience building data pipelines for production AI/ML use cases

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Title: Senior Machine Learning Engineer, Media Generation

Location: Remote

Compensation: Up to $350,000 + Equity

We’re partnered with a well-funded startup at the forefront of media generation and digital identity, building the infrastructure for the next generation of interactive, AI-powered experiences. Their platform enables developers and creators to generate fully customizable characters, digital assets, and AI companions, positioning them at the intersection of generative AI, gaming, and social platforms.

This is a high-impact role within a growing R&D team, focused on building cutting-edge machine learning systems for media generation. You’ll work on models that power character creation, digital fashion, and interactive experiences, helping define how users create and express themselves in digital environments.

What You’ll Do

• Design, train, and deploy ML models for high-quality image, video, and 3D asset generation
• Work across computer vision and graphics to generate meshes, textures, and motion
• Build and optimize generative models such as diffusion, GANs, and transformer-based architectures
• Integrate ML systems into user-facing creative tools and applications
• Collaborate with product, engineering, and creative teams to ship AI-powered features
• Manage ML infrastructure including datasets, experiments, and deployment pipelines
• Stay up to date with emerging research and apply new techniques to production systems

Requirements

• Master’s degree or higher in Computer Science, Machine Learning, Computer Vision, or related field
• 3+ years of experience in machine learning, computer vision, or computer graphics
• Strong Python skills and experience with frameworks such as PyTorch or TensorFlow
• Experience with generative models (diffusion, GANs, VAEs) and modern architectures (Transformers, ViTs, etc.)
• Solid understanding of 3D graphics, computational geometry, or related areas
• Experience working in cross-functional teams and communicating technical concepts clearly

Nice to Have

• Experience with 3D reconstruction, tracking, or geometry analysis
• Familiarity with neural rendering techniques such as NeRF or Gaussian Splatting
• Experience scaling ML models and optimizing training pipelines
• Background in distributed training, data pipelines, and experiment tracking
• Publications or contributions to research or open-source projects

If you’re interested in building next-generation generative AI systems at the intersection of media, gaming, and identity, this is a unique opportunity to help shape a rapidly emerging space.

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Complaints Insight Specialist

Up to £45,000

Nottingham (3 days a week on-site)

This is an opportunity to join a highly data-driven team where customer insight directly shapes business decisions. Sitting at the intersection of analytics, operations, and strategy, this role offers strong visibility across the organisation and the chance to influence meaningful improvements to customer outcomes.

THE COMPANY

They are a well-established financial services organisation known for putting data at the heart of decision making. With a strong focus on customer experience and continuous improvement, they invest significantly in both technology and people. The business promotes a collaborative and inclusive environment, with clear progression pathways and structured development opportunities. You will be joining a forward-thinking team that values curiosity, innovation, and impact.

THE ROLE

As a Complaints Insight Specialist you will work within a specialist complaints insight function, partnering closely with operations and wider business stakeholders to drive change through data.

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

• Analyse complaints data using Excel to identify trends, root causes, and opportunities for improvement
• Translate complex data into clear, actionable insights and compelling narratives
• Work in close collaboration with operations teams to respond to emerging customer issues in real time
• Support the development and optimisation of complaints strategy and processes
• Partner with stakeholders across the business to implement insight-led improvements
• Contribute to regulatory reporting and external insight, including industry and ombudsman trends
• Deliver presentations and reports to both technical and non-technical audiences

SKILLS AND EXPERIENCE

The successful Complaints Insight Specialist will have the following skills and experience:

• Strong experience working with complaints data within a regulated environment
• Advanced Excel skills and confidence handling datasets to generate insights
• Ability to translate analysis into clear business recommendations
• Strong stakeholder management and communication skills
• Experience in root cause analysis and process improvement
• Comfortable influencing across functions and presenting to varied audiences
• Exposure to SQL or Google Workspace tools is beneficial but not essential

BENEFITS

The successful Complaints Insight Specialist will receive the following benefits:

• Salary up to £45,000 – depending on experience

HOW TO APPLY

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Experimentation Specialist
London (Central), up to £45,000
This is a hands-on experimentation role with real ownership, sitting at the heart of a growing Centre of Excellence. You will work across multiple digital platforms, shaping experimentation strategy while remaining close to delivery and impact.
The Company
They are a large, established retail group with a strong digital footprint and a growing focus on data-led decision making. With multiple consumer brands under one umbrella, experimentation plays a critical role in improving customer experience and commercial performance. The business is investing heavily in experimentation capability, tooling and best practice. This role sits within a newly formed experimentation function that operates as an internal consultancy across the group.
The Role

• Support the build-out of a Centre of Excellence for experimentation across digital teams
• Translate business objectives and OKRs into clear experimentation roadmaps
• Prioritise, design and execute A/B tests across web and digital platforms
• Act as a hands-on experimentation specialist, not just test execution but strategic input
• Analyse results, communicate insights and influence decision making
• Partner closely with product, tech, analytics and CRM teams
• Own relationships with implementation and engineering teams to ensure tests are set up correctly
• Support the separation and alignment of website experimentation and CRM testing activity

Your Skills & Experience

• Strong experience running experimentation or CRO programmes in a digital environment
• Hands-on experience setting up and analysing A/B tests
• Solid understanding of experimentation principles, metrics and statistical concepts
• Experience with digital analytics and experimentation tools such as GA4, Optimizely or similar platforms
• Ability to build, communicate and manage an experimentation roadmap
• Confident working cross-functionally and independently in a fast-paced environment
• Comfortable balancing strategic thinking with hands-on delivery

What They Offer

• Salary up to £45,000 depending on experience
• Hybrid working with a strong in-office culture in central London
• The opportunity to help shape experimentation capability from the ground up
• High ownership and visibility across multiple digital brands
• Clear progression and long-term career development within experimentation and analytics
• Exposure to modern experimentation and analytics tooling
• A broad role covering strategy, analytics and implementation support

How to Apply
If you are looking for an experimentation role where you can have genuine impact and help shape best practice across a complex digital environment, apply today.

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Experimentation Specialist

Oxford Street, London (4 days onsite)
Up to £45,000

I’m working with a large retail company who are building out a Centre of Excellence in Experimentation and hiring an Experimentation Specialist to support this growth.

You’ll work closely with the Senior Experimentation Manager, acting as an internal consultant across the group, driving testing strategy and execution across multiple digital platforms.

The Role

• Support the build-out of an experimentation centre of excellence
• Translate business OKRs into A/B testing roadmaps
• Own test prioritisation, ideation and execution
• Run experiments end-to-end (design → launch → analysis → insight)
• Work closely with Tech teams to ensure correct test implementation
• Support both website experimentation and CRM testing strategy
• Communicate results and influence stakeholders across the business

This is a hands-on role – you’ll need to think strategically while still being able to execute and deliver.

About You

• Proven experience running experimentation / CRO programmes
• Hands-on experience building and analysing A/B tests
• Strong understanding of experimentation principles & metrics
• Experience with tools like Optimizely, GA4 or similar
• Confident working cross-functionally with Product, Tech & CRM teams
• Able to prioritise and work independently

Nice to have:

• Experience with user testing tools
• Exposure to CRM vs website experimentation

Benefits

• 20 days holiday + bank holidays
• Pension (3% employer / 5% employee)
• 20% discount across all brands (including sale)
• Discounted gym + Everlast membership (£10/month)
• Access to wellbeing & financial support (Retail Trust)
• Monthly recognition schemes + bonus opportunities
• Internal referral scheme (£500-£1000)
• Learning & development platform with unlimited access

How to Apply

Drop me a message or apply directly via LinkedIn.

Please note: this role is 4 days onsite (Oxford Street) – you’ll need to be comfortable with this before applying.

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SEO Manager
London or East Midlands | £33,000 to £45,000
This is an opportunity to step into a high-impact SEO Manager role where you will take real ownership of organic performance for a major e-commerce website. With two hires aligned to different retail propositions, this role offers scale, autonomy and visibility in a fast-paced, commercially driven environment.
The Company
They are a large, established UK retail organisation operating across multiple consumer brands with a strong digital footprint. Organic search plays a critical role in commercial performance, and SEO is highly valued across the wider business. With significant investment in tools, technology and agency support, they provide an environment where SEO can genuinely influence trading, buying and growth decisions.
The Role
You will own SEO performance for a key retail website, driving visibility, traffic and revenue through a hands-on, full-stack approach.

• Take end-to-end ownership of organic performance including rankings, traffic and revenue
• Build and execute SEO strategy across technical SEO, content and on-site optimisation
• Identify growth opportunities through keyword research and performance analysis
• Maintain site health including crawling, indexing and technical best practice
• Collaborate with internal commercial, trading and buying teams
• Manage and partner with external agencies to deliver SEO initiatives
• Track, analyse and report on performance against KPIs
• For one of the roles, support the development of more junior SEO team members

Your Skills & Experience

• Strong hands-on experience in SEO, either in-house or agency side
• Confidence owning and prioritising SEO activity in a fast-moving environment
• Experience across technical SEO and content optimisation
• Commercial mindset with the ability to influence stakeholders outside of marketing
• E-commerce experience is beneficial, though not essential
• Comfortable using tools such as Screaming Frog, Google Search Console and GA4
• Experience with enterprise SEO platforms and keyword tracking tools is a plus

What They Offer

• Salary between £33,000 and £45,000 depending on experience
• Hybrid working with four days per week in the office
• 20 days holiday plus bank holidays
• Pension scheme and wellbeing support
• Generous staff discounts across multiple consumer brands
• Discounted gym membership and cycle to work scheme
• Clear ownership, autonomy and exposure across large-scale retail websites
• Strong investment in learning, tools and agency support

How to Apply
If you are an SEO Manager looking for real ownership, scale and commercial impact, apply today to learn more about this opportunity.

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Marketing Analyst
Swindon – Hybrid
Up to 50k

This is an opportunity to join a data driven, consumer focused business where marketing decisions are led by experimentation and customer insight. The role stands out for its strong focus on segmentation, testing strategy, and improving customer lifetime value across both digital and offline channels.

The Company
They are a well established organisation operating across multiple customer touchpoints, combining digital and physical experiences. Their marketing function is highly collaborative, with a clear emphasis on data led decision making and continuous optimisation. They are investing in advanced analytics capabilities to better understand customer behaviour and drive sustainable growth. The environment is fast paced, commercially focused, and centred around measurable impact.

The Role
You will work closely with marketing and CRM teams to drive performance through experimentation, audience strategy, and deep customer analysis.

• Develop and refine customer segmentation to improve targeting and personalisation across acquisition and CRM
• Design, run, and evaluate experiments to optimise campaigns, messaging, and audience strategies
• Build frameworks to measure incrementality and understand true marketing impact
• Analyse customer behaviour across the lifecycle to identify opportunities to increase retention, frequency, and value
• Identify high value customer segments and support strategies that maximise customer lifetime value
• Partner with channel teams to optimise performance across paid media and CRM
• Use SQL to analyse large datasets and generate actionable insights
• Translate complex results into clear recommendations that influence marketing decisions

Your Skills and Experience

• Strong commercial experience in marketing or customer analytics
• Expertise in customer segmentation
• Experience designing and evaluating experiments, including A/B testing and incrementality
• Solid understanding of customer lifetime value and lifecycle strategy
• Proficiency in SQL
• Desired experience using Python or R for analysis
• Experience working with marketing data across channels such as paid media and CRM
• Ability to communicate insights clearly to both technical and non technical audiences
• A proactive, test and learn mindset with strong attention to detail

What They Offer

• 3 days in office in Swindon
• Opportunity to shape experimentation and segmentation strategy within a growing analytics function
• Progression opportunities within a data led business

How to Apply
If you are interested in applying, please submit your CV to learn more about this opportunity.

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