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DATA SCIENTIST, DECISION SCIENCES

London OR Cossington (Hybrid)

THE COMPANY
A data-driven consumer business with a large and engaged customer base is seeking a Data Scientist to join their Decision Sciences team. They are investing heavily in advanced analytics and machine learning, with data playing a central role in strategic decision-making across the organisation. You’ll work in a collaborative environment alongside analytics, marketing, and commercial stakeholders, delivering solutions that have a tangible impact on customer outcomes.

THE ROLE

• Build and develop machine learning models focused on customer retention, churn prediction, and customer lifetime value
• Evaluate and improve existing modelling pipelines to increase accuracy and commercial impact
• Partner with CRM and marketing teams to translate model outputs into actionable retention strategies
• Develop forecasting and marketing effectiveness models to support business planning and decision-making
• Design, analyse, and interpret A/B tests and experimentation frameworks
• Deliver insight through deep-dive analysis, dashboards, and clear communication to stakeholders

YOUR SKILLS & EXPERIENCE

• Strong commercial experience as a Data Scientist within marketing, ecommerce, customer, loyalty, or membership environments
• Advanced Python and SQL skills, with experience working in modern data environments
• Strong understanding of statistical modelling, experimentation, and causal inference
• Experience building and deploying predictive machine learning models
• Ability to communicate technical findings to non-technical audiences
• Experience working closely with CRM or lifecycle marketing teams is advantageous

WHAT THEY OFFER

• Competitive salary plus bonus
• Hybrid working and flexible hours
• Private healthcare and enhanced pension package
• Additional annual leave and wellbeing benefits
• Ongoing learning and development opportunities
• Clear career progression within a growing data team

HOW TO APPLY
To find out more about this Data Scientist, Decision Sciences opportunity, please submit your CV for consideration.

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Senior Machine Learning Scientist

London (Remote)

The Company
They are an innovative technology business leveraging advanced machine learning, natural language processing, and Generative AI to help organisations extract meaningful insights from large volumes of unstructured data. Their environment combines research, experimentation, and product development, giving technical teams the opportunity to work on real-world AI challenges while delivering measurable business impact.

The Role

• Train, evaluate and optimise machine learning models and agentic AI systems, owning experimentation from end to end.
• Build and enhance LLM-powered solutions including retrieval pipelines, reranking systems, intelligent agents and automated taxonomy generation.
• Design robust evaluation frameworks, define metrics and benchmark model performance across a range of NLP applications.
• Improve semantic search and retrieval capabilities using advanced machine learning and information retrieval techniques.
• Partner with engineering teams to deploy and monitor production-ready machine learning solutions.
• Collaborate with product and business stakeholders to deliver impactful AI solutions while mentoring colleagues and promoting technical best practice.

Your Skills & Experience

• Strong commercial experience with transformer architectures and modern NLP techniques.
• Advanced Python and PyTorch skills, including custom model training and optimisation.
• Experience fine-tuning, evaluating and deploying large language models.
• Experience working with large-scale text datasets and real-world machine learning problems.
• Solid grounding in statistics and classical machine learning.
• Hands-on experience developing Generative AI and agentic AI solutions.
• Excellent communication skills with the ability to engage technical and non-technical stakeholders.

What They Offer

• Competitive salary and benefits package.
• Hybrid working model.
• Opportunity to work on cutting-edge AI and machine learning products.
• Strong career progression within a growing Data Science and AI function.
• Collaborative, research-driven culture with exposure to the latest advancements in machine learning.

How to Apply
To find out more about this Senior Machine Learning Scientist opportunity, please submit your application today.

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Data Scientist

Knowsley – 3 days a week

The Company
They are a well established UK retail business undergoing a broader data and AI transformation. The organisation is investing in building a modern Data Science capability to support decision making across commercial and customer functions. Their culture is practical, collaborative and delivery focused, with an emphasis on creating value quickly rather than over engineering solutions. Data is increasingly central to their strategy, particularly with the launch of a new customer loyalty programme.

The Role
You will work closely with the Data Science Lead and a small but growing team to develop and productionise machine learning solutions.

• Build and deploy models that support customer and commercial decision making
• Work on use cases such as customer segmentation, lifetime value modelling and demand forecasting
• Contribute to the development of a scalable Data Science platform
• Collaborate with data engineers, analysts and business stakeholders
• Translate business problems into data science solutions and clearly communicate outputs
• Support the expansion of existing models into broader production use

Your Skills and Experience

• Strong commercial experience in Data Science using Python
• Solid SQL skills and experience working with large datasets
• End to end experience delivering Data Science solutions from problem definition through to deployment
• Experience building and validating machine learning models
• Ability to communicate insights clearly to non technical audiences
• A practical, business focused approach to problem solving

What They Offer

• Hybrid working with three days per week in Knowsley
• Opportunity to shape and influence a growing Data Science function
• Exposure to end to end project work with real business impact
• A collaborative environment focused on learning and delivery

How to Apply
Apply now to learn more about this Data Scientist opportunity and the impact you can make within a growing data driven environment.

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AI Automation Lead

London (3 Days a week)

The Company
They are a well-established investment-focused organisation with a strong track record of managing sophisticated portfolios. The business fosters a collaborative and forward-thinking culture, where technology and data are central to operational excellence. With a focus on innovation and continuous improvement, they are investing heavily in modern data and AI capabilities to drive impact across core functions. The environment encourages ownership, creativity, and cross-functional collaboration.
The Role

• Design and deliver a fully automated, end-to-end reporting platform
• Build intelligent workflows to automate data ingestion, validation, and reconciliation processes
• Develop scalable systems that replace manual operational tasks with robust, observable solutions
• Implement exception handling and human-in-the-loop mechanisms where needed
• Ensure systems are accurate, auditable, and resilient in a production environment
• Collaborate closely with cross-functional stakeholders to translate operational requirements into technical solutions

Your Skills and Experience

• Strong commercial experience in applied AI or automation engineering within operational environments
• Strong programming skills in Python and SQL
• Experience building data pipelines and integrating systems via APIs and structured data feeds
• Proven ability to build reliable, production-grade systems with monitoring and testing in place
• Experience with version control and CI/CD practices
• Strong system design capability with an end-to-end mindset

What They Offer

• Competitive salary and comprehensive benefits package
• Opportunity to build a high-impact AI platform from inception
• A collaborative and inclusive working culture
• Strong exposure to modern AI, data engineering, and automation technologies
• Clear scope for professional growth and ownership of key systems

How to Apply
If you are interested in applying for this Applied AI Engineer role, please submit your CV for consideration.

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Senior NLP Engineer

UK remote

The Company
They are a fast-growing technology business specialising in AI-driven analysis of communication data. Their platform is designed for high-volume, real-time environments where accuracy and scalability are critical. The organisation works at the intersection of AI, data, and compliance, with strong investment in innovation and product development. You will join a collaborative, distributed team with regular opportunities to connect in person across global locations.

The Role

• Own end-to-end delivery of NLP and AI features, from data ingestion through to deployment and optimisation
• Build pipelines to process and analyse multimodal data including audio, video, text, and images
• Develop capabilities across transcription, classification, and modelling at production scale
• Design systems for analysing, supervising, and archiving large volumes of communication data
• Work closely with product and cross-functional teams to define requirements and deliver impactful solutions
• Contribute to communication and knowledge sharing across engineering and business teams

Your Skills and Experience

• Strong commercial experience in NLP and machine learning, with models deployed into production
• Experience working with LLMs and/or multimodal AI systems
• Solid understanding of data pipelines, ingestion, and preprocessing for unstructured data
• Proficiency in building scalable systems that handle high-volume data workloads
• Strong software engineering fundamentals and experience in collaborative development environments
• Ability to translate complex technical work into clear business outcomes

What They Offer

• Competitive salary
• Fully remote working within the UK
• Regular team meetups, including annual global gatherings and European events
• Opportunity to work on complex, high-impact AI challenges
• Clear progression within a growing AI and engineering function
• Inclusive and collaborative culture that values diverse perspectives

How to Apply
Apply with your CV to find out more about this opportunity.

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Data & AI Strategy Consultant
London hybrid, competitive salary plus bonus and benefits

The Company
They are a global management consultancy with a strong reputation across capital markets and financial services, alongside a growing presence in other regulated industries. The business specialises in end to end transformation, deploying cross functional teams to solve complex client challenges. Their data and AI practice is expanding rapidly, with increasing demand across strategy, governance and data driven transformation.

The Role
You will work closely with senior stakeholders to define and deliver data and AI strategies for large organisations. The work is varied, ranging from short discovery engagements to longer transformation programmes. Responsibilities include:

• Leading or supporting the development of AI and data strategies for enterprise clients
• Engaging with C suite stakeholders to assess current capabilities and define future state roadmaps
• Identifying high value use cases for AI and advanced analytics
• Advising clients on build versus buy decisions for AI solutions
• Supporting AI governance frameworks, including policies and controls for emerging technologies such as Generative AI
• Translating complex technical concepts into clear, actionable recommendations
• Contributing to wider transformation programmes across data management and governance

Your Skills & Experience

• Strong experience in data or AI strategy within a consulting or advisory environment
• Understanding of AI governance, with awareness of policies, risk and regulatory considerations
• Ability to operate in a client facing role, engaging senior stakeholders and driving discussions
• Strong communication and storytelling skills, bridging technical and non technical audiences
• Experience in financial services or another regulated industry such as energy or pharmaceuticals is beneficial
• Understanding of how consulting engagements operate, including delivery models and stakeholder management

What They Offer

• Competitive salary
• Clear progression opportunities across Senior Consultant and Principal levels
• Exposure to high profile, C suite projects across data and AI strategy
• A collaborative and growing team environment within an established consultancy
• Opportunity to specialise in governance and strategy rather than hands on technical delivery

How to Apply
If you are interested in shaping AI strategy and working closely with senior stakeholders on complex transformation programmes, please apply to learn more.

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Lead Data Scientist

London – 4x a week

The Company
They are a fast-growing technology organisation that helps businesses unlock value from complex data through advanced analytics, machine learning, and AI-driven decision-making. Their products support a range of commercial use cases, with a strong focus on delivering measurable business outcomes. As they continue to scale, they are investing heavily in their Data & AI capabilities.

The Role

• Lead, mentor, and develop a team of Data Scientists while defining best practices across the function
• Design and deploy machine learning models across forecasting, customer segmentation, and propensity modelling
• Own end-to-end model development including feature engineering, validation, deployment, and monitoring
• Partner with Engineering and Product teams to build scalable, production-ready data science solutions
• Translate analytical outputs into clear commercial recommendations for senior stakeholders
• Drive the adoption of AI tooling and robust model governance across the data science lifecycle

Your Skills & Experience

• Strong commercial experience in Data Science, Machine Learning, or Applied AI
• Experience leading and developing Data Science teams
• Advanced Python and SQL skills
• Expertise in supervised and unsupervised machine learning techniques
• Experience deploying models into production environments using MLOps practices
• Strong communication skills with the ability to influence technical and non-technical stakeholders

What They Offer

• Performance-related bonus
• Private healthcare and additional benefits package
• Opportunity to shape and scale a Data Science function
• Exposure to cutting-edge AI and machine learning projects
• Clear career progression in a high-growth environment

How to Apply
If you’re looking for a Lead Data Scientist opportunity that combines leadership, technical depth, and business impact, please apply today through Harnham.

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Digital Analyst – 12 Month FTC

Up to £52,000 + benefits | London | Hybrid working

A leading UK organisation is looking for a Digital Analyst to join its Digital Analytics function on a 12-month fixed-term contract.

This is a genuine digital analytics role, rather than a pure tagging implementation position. You’ll work across web and app analytics, supporting product, marketing, acquisition and CRO teams with actionable insight and recommendations.

The Role

• Analyse website and app data to identify opportunities, issues and trends.
• Support product teams with insight that informs development roadmaps and optimisation.
• Work with Marketing and Acquisition teams to understand digital performance.
• Support CRO and experimentation, identifying opportunities to improve conversion.
• Investigate data and tagging issues and work with technical teams to resolve them.
• Support digital data collection and tagging implementations.
• Maintain and develop Google Analytics 4 and Google Tag Manager.
• Present findings and recommendations to a range of stakeholders.
• Contribute to the development of the organisation’s wider digital analytics capability.

About You

• Strong experience as a Digital Analyst / Web Analyst.
• Strong hands-on GA4 and GTM experience.
• Good understanding of tags, triggers, custom variables and data layers.
• Able to analyse digital data and turn it into clear, actionable recommendations.
• Strong stakeholder management and communication skills.
• Experience working with product, marketing, acquisition or CRO teams.
• App or product analytics experience would be advantageous.
• Looker / Looker Studio or Power BI experience is beneficial.
• SQL / BigQuery is a bonus but not essential.

You don’t need to be a specialist in every part of the Google ecosystem – they’re looking for a well-rounded Digital Analyst who can combine technical understanding with strong analytical and stakeholder skills.

Package

12-month FTC
Up to £52,000
London – hybrid working
Potential permanent opportunity

If you’re a Digital Analyst with strong GA4 and GTM experience and are looking for a role where you can work closely with product and marketing teams, this could be a great opportunity.

Find out more and apply via the link below!

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Marketing Analytics Manager – Loyalty

Up to £75,000 + benefits | Hybrid – x2 days a week in London

A leading UK consumer brand is looking for a Marketing Analytics Manager to join its growing Loyalty Analytics team.

This is a high-impact role within a business where loyalty is a major strategic priority, with significant senior-level investment. You’ll help shape the analytics strategy around the loyalty programme, using customer data to understand behaviour, drive value and influence commercial decision-making.

The Role

• Own and shape the analytics strategy for loyalty, understanding drivers of frequency, retention, engagement and customer lifetime value.

• Use customer data and segmentation to identify behavioural groups and measure the impact of loyalty initiatives.

• Support more intelligent personalisation, targeting and promotional activity.

• Lead testing and measurement across loyalty mechanics, communications and rewards.

• Develop and evolve self-serve reporting and dashboards to provide trusted insight into programme performance.

• Partner closely with Marketing, Ecommerce, Product and Customer teams, acting as a key analytics contact for loyalty.

• Lead the conversation around what data is needed, how it should be used and where it can add value.

• Help shape best practice across the wider analytics function and contribute to the development of other analysts.

About You

• Strong SQL and data visualisation skills; Python would be advantageous.

• Solid background in marketing analytics, ideally within retail or another consumer-focused environment.

• Strong understanding of loyalty and CRM analytics, including retention, frequency, CLV, RFM and segmentation.

• Experience with testing, measurement and incrementality would be highly valuable.

• Excellent stakeholder management and communication skills, with the confidence to work with demanding senior stakeholders.

• Comfortable moving between hands-on analysis and strategic analytics leadership.

Package

Up to £75,000 + benefits
Hybrid working – London
Permanent opportunity

If you’re an experienced marketing or loyalty analytics professional looking for a role where you can genuinely shape the data and analytics strategy, this could be a great opportunity.

Find out more and apply via the link below!

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Our client-a fast-growing, high-impact B2B SaaS platform-is seeking a Director of GTM Data to define and execute the strategic vision, technical standards, and operating model for their Go-To-Market analytical and data science capabilities.

About the Role

Reporting directly to the VP of Data, you will lead a talented team of data scientists and analysts, serving as a strategic thought partner to executive leaders across Marketing, Sales, Customer Success, RevOps, and Finance.

Responsibilities

Strategic Leadership & Roadmap Ownership

• Executive Partnership: Collaborate directly with Sales, Marketing, RevOps, and Customer Success executives to align data strategy with core revenue levers.
• Roadmap & Metrics: Own the 12-24 month GTM data strategy and serve as the final decision-maker on enterprise metrics (LTV, CAC, retention, conversion funnels).
• Strategic Boundaries: Translate complex business questions into structured analytical frameworks, setting clear priorities to focus on high-ROI work.

Technical & Modeling Strategy

• Predictive Analytics: Guide the deployment and iteration of models, including Lead Scoring, Customer Lifetime Value (LTV), Marketing Mix Modeling (MMM), Attribution, and Sales Propensity.
• Experimentation & AI: Lead sales/web experimentation strategies (frequentist, Bayesian, causal inference) and drive AI fluency (e.g., AI-assisted coding) across the team.
• Hands-on Technical Coaching: Review Python/SQL code, validate modeling assumptions, and ensure high statistical rigor with a coach-first leadership style.

Team & Organizational Leadership

• Scale & Mentor: Manage, retain, and develop a 5-person team, fostering technical depth and business acumen.
• Drive Transformation: Champion a culture of continuous improvement, navigating complex organizational transformations and building cross-functional trust.

Qualifications

• Experience: 7+ years in applied data science, revenue analytics, or sales/marketing analytics, including 3+ years managing data science/analytics teams.
• Domain Mastery: Deep understanding of B2B SaaS/subscription business models, sales funnel dynamics, and RevOps tech stacks.
• Technical Depth: Proficient in reading/evaluating Python and advanced SQL, with deep grounding in ML modeling, causal inference, and A/B testing.
• Modern Stack Exposure: Experience with modern data stack tools (e.g., Snowflake, dbt, Airflow, Databricks) is a strong plus.
• Executive Presence: Exceptional communication skills with the ability to influence C-suite/VP stakeholders and build strong collaborative relationships.

Required Skills

• 7+ years in GTM Data/Analytics
• 3+ years in direct people management

Preferred Skills

• Experience with modern data stack tools (e.g., Snowflake, dbt, Airflow, Databricks)

Pay range and compensation package

$200,000 – $230,000

Comprehensive Benefits: Competitive salary, health benefits, paid life & disability, 20+ PTO days, 401(k), and FSA options.

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Data Business Analyst
Amsterdam, hybrid working
up to €80,000 including holiday allowance, plus bonus

This Data Business Analyst role offers the opportunity to shape how trusted data is governed and used across a complex international organisation. You will combine business analysis and data governance to identify data issues, improve data quality and lineage, and support the organisation’s transition towards more advanced data and AI capabilities.

The Company
They are a large international professional services organisation investing in their enterprise data capabilities. Their data governance function is focused on improving ownership, decision-making and collaboration across the business. The environment offers significant scope to establish practical governance processes and create measurable improvements across core business systems. You will join a global data team based in Amsterdam.

The Role
As a Data Business Analyst, you will bridge the gap between current business operations and future enterprise data capabilities. You will:

• Own and develop a central Data Issues Register, providing clarity on issues, priorities and required actions.
• Analyse datasets, processes and data flows across core business systems.
• Identify and document data quality, data lineage and ownership issues.
• Build on existing data mapping to understand the current state and define improvements.
• Produce clear, concise documentation that supports prioritisation and decision-making.
• Work with Data Owners to agree priorities and improve accountability.
• Contribute to the development of the Data Dictionary, Business Glossary, Critical Data Elements Register and Data Lineage Repository.
• Partner with IT teams, Data Stewards, Data Owners and business systems stakeholders.
• Support the continued development of the wider Data Governance Framework.

Your Skills & Experience

• Strong commercial experience in business analysis and data governance.
• Practical knowledge of data governance principles, practices and industry standards.
• Experience conducting gap analysis, process mapping and data-flow analysis.
• The ability to identify ambiguity, investigate underlying issues and establish clear requirements.
• Experience producing structured documentation for technical and non-technical stakeholders.
• Knowledge of project-based delivery, including scope, tasks and dependencies.
• Strong written and verbal communication skills.
• The ability to build consensus and align stakeholders around business value.
• A proactive approach, with the ability to progress work independently.
• Experience with data governance tools would be beneficial.
• Knowledge of data-related regulation, including GDPR or the EU AI Act, would be beneficial.
• A relevant bachelor’s or master’s degree is desirable but not essential.

What They Offer

• A salary of up to €80,000, including holiday allowance.
• An additional performance-related bonus.
• Hybrid working with three days per week in the Amsterdam office.
• The opportunity to help develop an emerging data governance capability.
• Exposure to enterprise data, governance and AI-related transformation.
• Scope to make a visible impact across an international organisation.

How to Apply
Apply now to be considered for this Data Business Analyst opportunity in Amsterdam.

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