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Customer Data and Insights Manager
Up to £45,000 + profit share bonus + benefits
Lancashire (Hybrid working)
Permanent

About the Company
We’re working with a leading UK luxury retailer specializing in high-end jewelry, watches, and premium brand products. Established over 100 years ago as a family business, they now operate 80+ locations across the UK with a thriving e-commerce platform. They’ve been recognized as one of the UK’s best employers and are known for their exceptional workplace culture, employee benefits, and commitment to work-life balance.

The Role
We’re looking for a Customer Data and Insights Manager to join a forward-thinking Digital and Brand Experience team. This role is critical to maintaining a high-quality, secure, and unified customer data ecosystem that powers personalized marketing and exceptional customer experiences.

You’ll bridge data management and insights, combining technical skills with strategic thinking to ensure customer data flows seamlessly across systems, segmentation drives targeted campaigns, and stakeholders have access to meaningful customer analytics.

This is perfect for someone with experience in data management or analytics who wants to take ownership of customer data strategy in a luxury retail environment.

Key Responsibilities

• Oversee and optimize the flow of customer data between CRM systems, CDPs, ecommerce platforms, and marketing channels, ensuring seamless integration and accuracy.
• Ensure robust and efficient customer data collection across all touchpoints (online, in-store, mobile, email).
• Optimize data health and integrity through consistent, best-practice approaches to data cleansing, deduplication, and validation.
• Conduct in-depth analysis to identify customer trends, behaviors, and insights that inform CRM campaigns and marketing strategy.
• Produce reports for CRM and Marketing teams to enable targeting, personalization, and decision-making.
• Develop segmentation strategies to enable personalized, relevant marketing activity across email, SMS, direct mail, and digital channels.
• Build and maintain a suite of dashboards and reports to keep stakeholders informed of key customer KPIs including acquisition, retention, lifetime value, engagement, and purchase behavior.
• Work closely with Tech teams and developers to optimize customer data integration from multiple sources and troubleshoot data flow issues.
• Ensure compliance with data privacy regulations (GDPR) and champion data governance best practices across the business.

What You’ll Be Working On
Customer Data Platform (CDP) management and optimization – ensuring data is unified, accurate, and actionable.
Segmentation and modeling – creating customer segments for targeted campaigns based on behavior, demographics, purchase history, and engagement.
Data quality initiatives – implementing processes to cleanse, validate, and maintain high-quality customer data.
Insights and reporting – translating data into actionable recommendations for Marketing, CRM, and leadership teams.
Cross-functional collaboration – partnering with Tech, Marketing, CRM, and ecommerce teams to align on data strategy.

What We’re Looking For
Essential:

• Experience in a data management or data analytics role, ideally in retail or ecommerce.
• Knowledge of retail-focused CRM and CDP systems (Bloomreach, Segment, Tealium, mParticle, Salesforce CDP, or similar).
• Strong understanding of data integration methodologies and how customer data flows between systems.
• Hands-on experience with analytics and BI platforms (Power BI, Tableau, Looker, or similar).
• SQL knowledge and ability to query customer databases to extract insights and build segments.
• Proven ability to influence stakeholders around data health, quality, and best practices.
• Impeccably high attention to detail and accuracy when working with data.
• Understanding of CRM segmentation and customer modeling strategies.
• Excellent communication and presentation skills – able to translate technical insights for non-technical audiences.
• Strong understanding of data legislation and privacy regulations (GDPR, ICO guidelines).

Desirable:

• Experience working in a multi-channel retail environment (online and offline customer data).
• Knowledge of Bloomreach CDP specifically.
• Awareness of how AI-driven technology is being used to enhance data cleansing and customer modeling.
• Experience with A/B testing strategies in a CRM or marketing context.
• Familiarity with ecommerce platforms (e.g., CommerceTools, Shopify, Magento).

What’s On Offer

• Salary up to £45,000 + profit share bonus.
• BUPA private healthcare.
• 33 days holiday including bank holidays.
• Contributory pension and life assurance.
• Outstanding colleague discounts extending to family and friends.
• Wellbeing scheme and employee support programs.
• Hybrid working with flexible home/office balance (details can be discussed during interview).
• Career progression opportunities in an award-winning workplace culture.

Interview Process

• 1st stage: Initial chat with Talent Acquisition (week commencing 9th February).
• 2nd stage: Interview with hiring manager and stakeholders.
• Closing date: Sunday 8th February.

How to Apply
If you’re a data professional with experience managing customer data ecosystems, building segmentation strategies, and delivering insights in a retail or ecommerce environment, we’d love to hear from you.

To apply or for more information, get in touch today.

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Marketing Analytics Manager
London
£80,000 to £90,000 plus benefits
This is an exciting chance to step into a high‑impact Marketing Analytics Manager role where you will shape analytics strategy, lead a small team, and influence commercial decisions across a fast‑paced UK business. If you enjoy using data to drive real trading performance and want ownership, visibility, and genuine progression, this stands out.
The Company
They are a large, well‑established consumer technology business operating at scale within a fast‑moving marketplace. With millions of active users and continuous investment in innovation, they rely on data to evolve their customer experience and deliver commercial growth. You will join a collaborative analytics function that partners closely with senior stakeholders and plays a central role in shaping strategy.
The Role
You will lead the UK marketing analytics agenda while managing a team of analysts. Your work will drive both day‑to‑day optimisation and long‑term strategy. Responsibilities include:
* Implementing analytics strategy across all UK marketing channels to improve visibility, performance, and ROI.
* Owning and delivering key analytical projects that unlock insight and measurable business impact.
* Ensuring reporting accuracy and consistency across performance and partner metrics.
* Developing and managing a roadmap for test and learn activity, including pricing and incrementality initiatives.
* Partnering with senior stakeholders on cross‑functional projects and ensuring alignment on priorities.
* Overseeing a portfolio of analytics work while coaching, supporting, and guiding your analyst team.
Your Skills and Experience
* Strong commercial experience in marketing analytics, driving value across ATL and BTL channels.
* Hands‑on experience with attribution approaches such as multi‑touch attribution and marketing mix modelling.
* Experience designing and executing incrementality testing plans.
* Strong analytical skills across customer experience, personalisation, and channel performance.
* Excellent stakeholder management skills, including presenting to senior leadership.
* Proven experience managing or mentoring analysts.
* Advanced SQL skills and confidence querying large datasets.
* Experience with data visualisation tools such as Tableau, Looker or Power BI.
* Strong problem‑solving capability and the ability to navigate complex, unstructured challenges.
What They Offer
* Salary between £80,000 and £90,000 depending on experience.
* Comprehensive benefits package.
* Clear progression pathways and the chance to make a significant commercial impact.
* A dynamic, innovative environment that encourages development and learning.
How to Apply
If you are ready to take on strategic ownership and lead marketing analytics in a high‑growth environment, apply today.

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Senior Data Strategist
London (hybrid with Bristol travel)
£50,000 to £60,000

This is an exciting opportunity to join a specialist CRM agency during a period of significant growth and global expansion. You will play a key role in shaping data‑driven customer strategies for major brands while helping elevate internal capability across analytics, CRM, and lifecycle strategy.

The Company
They are a well‑established CRM agency with a long track record of delivering customer engagement strategies for well‑known consumer brands. Following recent investment and international expansion, they are entering a new phase of growth with global clients and new capabilities. The environment is fast paced, collaborative, and highly people‑focused, offering plenty of scope to influence both client outcomes and internal data strategy.

The Role
You will:
* Develop targeted CRM and customer lifecycle strategies grounded in data insights.
* Translate complex analysis into clear recommendations that drive revenue, retention, and customer growth.
* Map and optimise client tech stacks, improving processes and enhancing customer experience.
* Translate data findings into compelling stories and visually engaging decks.
* Work closely with data teams to turn insights into actionable strategy.
* Present recommendations to stakeholders and build strong client relationships.
* Mentor junior strategists and support capability development across the team.
* Work across a varied client portfolio, many of whom leverage Braze as their primary CRM platform.

Your Skills and Experience
You will bring:
* Strong experience developing data‑driven CRM or customer lifecycle strategies.
* Confidence working with analytics teams and converting insight into commercial action.
* Proven experience engaging with stakeholders or clients.
* CRM platform experience; Braze exposure is highly beneficial.
* Ability to use tools such as Tableau or Adobe Analytics to support strategic storytelling.
* A consultative mindset with a passion for improving customer experience.
What They Offer
* Salary between £50,000 and £60,000.
* London‑based hybrid pattern with regular Bristol travel.
* Exposure to major global brands and the opportunity to help shape a growing analytics and CRM function.
* A collaborative, supportive culture with clear room for career development.
How to Apply
If this sounds like the right next step for you, please apply with your CV and we will be in touch.

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AI Engineer
London, onsite
Up to £185,000 plus equity

This is a role for someone who wants to move fast, build advanced AI products, and see their work used by real customers. You will work at the heart of a high‑growth environment where your engineering decisions directly shape the next generation of AI tools in the intellectual property space.

The Company

They are a rapidly scaling organisation using applied AI to transform complex legal and technical workflows. Their platform is trusted by global IP teams and continues to grow at pace, supported by strong commercial traction and significant investment. With ambitious plans to expand their London presence, they are building a technical team that values ownership, speed, and high‑quality engineering.

The Role

* Build and deploy production‑ready AI models for IP‑focused workflows.
* Develop evaluation pipelines that guide research direction and model performance.
* Apply advanced prompting techniques to improve output quality.
* Contribute across the engineering stack to ensure smooth integration of AI features.
* Work closely with experienced founders in a collaborative, fully onsite environment.

Your Skills and Experience

* Strong commercial experience in AI engineering or software engineering.
* Deep proficiency with Python and experience delivering production systems.
* Understanding of modern LLM approaches and effective prompt design.
* Confidence working across a wider stack including React, TypeScript, FastAPI, and Postgres.
* Comfortable operating in a fast‑moving, hands‑on engineering culture.
* Experience with cloud infrastructure such as AWS and Terraform is welcomed.

What They Offer

* Up to £185000 base salary, with flexibility for exceptional profiles.
* Equity package offering meaningful ownership.
* Pension scheme, private medical cover, and daily meals provided onsite.
* Visa sponsorship available.
* Strong progression opportunities as the team continues to scale.

How to Apply

If this sounds like the right next step for you, please send your CV to begin the process.

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DATA ANALYST
LONDON/HYBRID
UP TO £50,000

This is an excellent opportunity to join a growing data function within a highly backed, mission‑driven business. You will shape how reporting, dashboards and data foundations evolve as they scale, with clear long‑term opportunities to move into deeper insights and analytics.

ROLES AND RESPONSIBILITIES:
The Data Analyst will:
* Build and maintain high‑quality Power BI dashboards and reports to support KPIs and BAU needs across sales, finance, customer success, operations and marketing.
* Write strong SQL for data extraction, transformation and reporting.
* Support the roll out of Power BI internally and act as a champion for best practice and usage.
* Partner closely with stakeholders to understand requirements, gather detail and produce structured, accurate outputs.
* Analyse trends and performance data to identify opportunities and support decision making.
* Bring structure, organisation and clarity to fast‑moving workloads within a small, collaborative team.

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
* Strong commercial experience using SQL for querying, joins and aggregations, with the ability to write clean, efficient code.
* Proven experience building dashboards in Power BI or similar data visualisation tools.
* Comfortable working in smaller, agile environments and contributing across different areas of reporting.
* Strong communication skills, with the ability to gather detailed requirements and explain work clearly.
* Highly organised, structured and able to bring order to ambiguity.
* Positive attitude and willingness to learn, with interest in developing into more insights‑led work over time.

APPLY BELOW!

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Senior Data Scientist

You will build, configure, and continuously improve the models that power our platform-from audience scoring and lookalike modeling to bid optimization and causal measurement-while owning their performance in production. This includes diagnosing model drift, running lift analyses, tuning configurations for client-specific challenges, and feeding field learnings back into the modeling lifecycle. Contextual targeting and NLP-driven modeling are key areas of focus and growth. You will partner closely with engineering, product, and client teams and must be equally comfortable investigating real-world model behavior and prototyping the next iteration. The ideal candidate writes production-grade code, thinks in experimentation frameworks, and understands how digital ad campaigns operate in practice.

Key Responsibilities

Modeling, Experimentation & Production Ownership

• Build, configure, and improve models across Chalice’s core products and own end-to-end production performance
• Design and execute robust experimentation frameworks using real-world campaign data
• Diagnose model drift, performance issues, and edge cases in live environments
• Develop and maintain data pipelines, feature engineering workflows, and model configurations using Python, PySpark, and MLflow on Databricks
• Prototype and deploy agentic AI systems that extend product capabilities

Cross-Functional Collaboration & Product Impact

• Serve as the data science subject matter expert across product and client teams
• Translate model outputs and campaign KPIs into clear, actionable recommendations
• Surface field learnings, feature gaps, and performance insights to inform the DS roadmap
• Contribute to research initiatives, internal tooling, and data science best practices

Required Qualifications

• 5+ years of experience in data science or machine learning roles (Master’s preferred)
• Experience with NLP, contextual modeling, or embedding-based approaches
• Proven ability to write production-grade, testable code beyond notebooks
• Strong proficiency in Python and large-scale data processing (PySpark, SQL)
• Experience with modeling libraries such as PyTorch and scikit-learn
• Hands-on experience working in Databricks and/or AWS environments
• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders

Nice to Have

• Strong foundation in statistical analysis, causal inference, and experimentation design
• Familiarity with MLflow (experiment tracking and model registry)
• Experience in adtech or digital advertising environments
• Experience building agentic AI workflows, LLM-based systems, or tool-use orchestration
• Familiarity with CI/CD workflows (e.g., GitHub Actions) and software packaging best practices

Our Tech Stack

• ML Frameworks: PyTorch, scikit-learn, Ray (Train, Tune, Datasets), PySpark ML
• Data Platform: Databricks (Delta Lake, Unity Catalog), Snowflake, AWS (S3, EC2)
• MLOps: MLflow (experiment tracking, model registry), GitHub Actions
• Languages: Python, SQL, JavaScript/TypeScript

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Senior Applied AI Scientist

Fully Remote – HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company’s agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Applied AI Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

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Fraud Analyst
London, hybrid (3 to 4 days in office)
£45,000 to £50,000

A great opportunity to join a fast‑growing lender as they expand into new lending. You will shape fraud controls from the ground up and make a visible impact in a data‑focused, agile environment.

The Company
They are a high‑growth financial services business building modern lending products for the UK market. With strong investment and recent profitability, they are now scaling a new product. You will join a collaborative team where data sits at the centre of decision making.

The Role
* Analyse fraud patterns, behaviours and anomalies.
* Develop, test and optimise fraud rules.
* Report on emerging fraud types across new products.
* Use SQL and fraud tools to generate insights and recommendations.
* Improve fraud processes as they scale their lending portfolio.

Your Skills and Experience
* Strong experience working with fraud data, rules or controls.
* Proficiency in SQL.
* Exposure to tools such as ThreatMetrix or CIFAS is beneficial.
* Comfortable analysing data and providing clear, concise insights.

What They Offer
* £45,000 to £50,000 salary.
* Bonus, pension scheme, private medical
* High visibility, fast decision making and strong progression opportunities.

How to Apply
Apply now to be considered for this opportunity.

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Senior Machine Learning Engineer

Dublin, Ireland

This is a chance to join a growing Machine Learning team at a global digital entertainment business, helping to shape how millions of customers discover and buy content in an online store. You will own high-impact pricing and optimisation models, working with modern ML tooling and strong backing from senior leadership.

The Company

They are a well-established entertainment company that has been innovating for around three decades. Dublin is becoming a key hub for their Machine Learning capability, closely aligned with product and content development teams. They combine the scale and stability of a major brand with the impact and pace of a modern digital platform.

The Role

• Design, build and productionise machine learning solutions that optimise pricing, promotions and customer experience in a large-scale digital store.
• Develop time series and forecasting models to predict demand, revenue and customer behaviour across regions and product lines.
• Build and refine optimisation models using operations research techniques to support pricing, promotional strategies and inventory decisions.
• Work end to end across the ML lifecycle, from problem definition, data exploration and feature engineering through to model training, evaluation, deployment and monitoring.
• Collaborate with product, engineering and commercial stakeholders to translate business objectives into scalable ML solutions.
• Contribute to the technical direction of the Dublin ML team, helping to define best practices, tooling and architecture for ML delivery.

Your Skills And Experience

• Strong commercial experience building and deploying machine learning models in production environments.
• Deep expertise in pricing, optimisation or operations research, ideally with hands-on experience of tools such as Gurobi, CPLEX or similar optimisation libraries.
• Strong skills in Python and modern ML frameworks such as PyTorch and TensorFlow.
• Experience working with time series forecasting, demand modelling, churn or uplift modelling.
• Practical experience of delivering ML solutions on cloud platforms such as AWS, GCP or Azure, including containerisation and deployment using tools like Docker, Kubernetes and CI/CD pipelines.
• Experience in e-commerce, digital platforms or online customer experiences is highly desirable, especially work on recommender systems or search.

What They Offer

• Base salary plus 15% annual bonus and 10% pension.
• Flexible working with remote options in Ireland and regular collaboration with teams in the UK and US, plus occasional visits to the Dublin office.
• Opportunity to join a small, high-calibre ML team in Dublin and play a key role in building out their in-house capability.
• Exposure to complex, high-impact ML problems in pricing, optimisation and customer experience, with clear opportunities for progression and technical leadership.

How To Apply

If you are an experienced Machine Learning Engineer with strong pricing and optimisation experience and you want to shape a high-impact ML function in Dublin, please apply with your CV to be considered.

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Fraud Analyst

£45,000-£50,000

London + hybrid working (3-4 days per week in the office)
Harnham are working with a fast‑growing UK consumer lender seeking a Fraud Analyst to support the launch and scaling of new lending products.

THE COMPANY

• A high growth UK lending scale‑up offering innovative credit products across secured and unsecured markets.
• Backed by significant investment and entering a major expansion phase after achieving profitability.
• Operates in a fast‑paced, agile environment with strong opportunities for progression and impact.

THE ROLE

This is a hands on analytical role within a developing fraud function, supporting the design, monitoring and optimisation of fraud controls for new and existing lending products. You’ll work closely with credit, operations and product teams as the business expands into new areas.
Specifically, you can expect to be involved in:

• Analysing fraud trends, patterns and behaviours to identify emerging risks.
• Developing and implementing fraud rules and controls as product volumes grow.
• Reporting on fraud performance and making data‑driven recommendations.
• Supporting the management of new fraud types associated with unsecured lending.
• Using fraud prevention tools and contributing to wider risk initiatives.

YOUR SKILLS AND EXPERIENCE

• 1-2 years’ experience in fraud analytics or fraud data analysis within financial services or a similar environment.
• Ability to work with customer or fraud data to generate insights.
• Understanding of fraud rules, controls, prevention tools or fraud related reporting.
• SQL skills (essential).
• Experience with fraud platforms such as ThreatMetrix or CIFAS (beneficial).
• Python experience (advantageous).

THE BENEFITS

• Join a small, growing team with real scope to influence strategy and controls.
• Clear progression pathways in a rapidly scaling business.
• Exposure to a broad range of fraud, credit and product related projects.
• Agile environment with short decision cycles and minimal bureaucracy.

THE PROCESS

• Initial 30‑minute interview with HR.
• 30‑minute interview with a senior team member.
• Final in‑person stage including a short case‑study discussion and a meeting with senior leadership.

HOW TO APPLY

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

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