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Data Scientist

London based role, two days per week on site with flexibility for candidates based further north. Salary up to £65,000.

This is an opportunity to join a well established data and analytics consultancy where data science sits at the heart of client delivery. You will work on commercially meaningful modelling projects, have regular exposure to end clients, and see your work directly influence real world decision making across large consumer datasets.

The Company

They are a specialist data and analytics consultancy that combines proprietary data assets with advanced analytics and modelling expertise. Operating as a solutions led partner, they support organisations across sectors such as utilities, telecommunications, financial services and the not for profit space. Their work focuses heavily on predictive modelling to improve marketing effectiveness, customer insight and engagement strategies at scale.

The Role

As a Data Scientist, you will be responsible for designing, building and refining models aligned to client and project needs, with a strong focus on propensity and scoring models. You will work closely with subject matter experts, project managers and data analysts, and in some cases take ownership of projects end to end.

Key responsibilities include:

• Building and training predictive models to solve real commercial problems, most commonly around customer behaviour and engagement.
• Leading data discovery sessions with client stakeholders to understand objectives, constraints and available data.
• Analysing large datasets to uncover patterns and translate findings into actionable insights.
• Presenting model outputs and recommendations back to clients in a clear, engaging way.
• Iterating on models to improve performance and ensure they remain fit for purpose.
• Contributing to internal or repeat client projects where you may work independently from end to end.

Your Skills and Experience

To succeed in this role, you will bring:

• Strong commercial experience using Python and SQL for data analysis and modelling.
• Hands on experience building predictive or propensity models within a business context.
• An analytical background with the ability to get involved in both modelling and broader analysis.
• Experience working with cloud based analytics platforms, with Databricks experience a strong advantage.
• Confidence working directly with clients, including presenting findings and explaining technical concepts to non technical audiences.
• The ability to balance multiple projects and adapt to different client environments and requirements.

What They Offer

• A salary between £50,000 and £65,000 depending on experience.
• A hybrid working model with two days per week in the London office and flexibility for candidates based outside the South East.
• Exposure to a wide range of industries and business problems through consultancy led work.
• Clear opportunities for development within a growing data science function, working alongside experienced data scientists and analysts.
• The chance to work on projects that have tangible commercial and customer impact.

How to Apply

If you are a Data Scientist looking to combine hands on modelling with client facing work in a collaborative consultancy environment, apply now to find out more.

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Data Scientist
London, hybrid two days per week | Salary up to £65,000

This role is ideal if you enjoy building predictive models that directly influence customer strategy and commercial decision making, while staying close to clients and real world use cases. You will work on varied projects, have autonomy over your models, and see your work used in live environments rather than staying theoretical.

The Company
They are a UK based data and analytics consultancy that combines large scale proprietary data with advanced analytics and modelling expertise. Working as a solutions led partner, they help organisations better understand, predict and influence customer behaviour. Their work spans multiple sectors, including utilities, telecoms, financial services and the not for profit space, delivering insight that drives measurable outcomes.

The Role
You will join a collaborative Data Science function working alongside Data Analysts, project managers and industry subject matter experts. Your responsibilities will include:

• Building, training and refining predictive and propensity models aligned to client objectives.
• Translating business problems into analytical solutions through data discovery and stakeholder engagement.
• Analysing model outputs and turning results into clear, actionable insight.
• Presenting findings and recommendations to clients in a clear and confident way.
• Owning end to end delivery on certain projects, particularly for internal or repeat client work.
• Contributing to model optimisation and continuous improvement over time.

Your Skills & Experience

• Strong commercial experience using Python and SQL for data analysis and modelling.
• Practical experience building predictive models, such as propensity or scoring models.
• An analytical mindset with the ability to contribute to both modelling and insight generation.
• Confidence working in client facing environments and explaining technical concepts to non technical audiences.
• Experience working with cloud based analytics platforms, with Databricks experience highly advantageous.

What They Offer

• Salary up to £65,000 depending on experience.
• Hybrid working with two days per week in the London office and flexibility for candidates based further north.
• Exposure to a wide range of sectors and use cases, keeping work varied and challenging.
• Clear opportunities to develop your technical capability and client facing skills within a growing data science team.
• A supportive, collaborative environment where your input and ideas are valued.

How to Apply
If you are a Data Scientist looking to combine hands on modelling with meaningful client impact, apply to learn more about the role.

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Senior Pricing Analyst

London, hybrid (2 days in office)

Salary – up to £85,000

This is an exciting chance to join a growing, mission-led ecommerce business where data sits at the centre of supply, logistics and operational decision making. You will shape how stock moves, how warehouses operate, and how the supply chain evolves as the business scales internationally. If you enjoy analytical freedom, hands-on problem solving and real commercial impact, this is an opportunity to step into a core role at a pivotal time.

The Company

They are a high‑growth, sustainability-focused ecommerce organisation with global operations and a strong data culture. With multiple warehouse locations, international offices and recent investment to accelerate transformation, they are expanding their analytics capability across supply and operations. The business combines technology, logistics and marketplace trading, offering you the chance to work at the intersection of supply chain performance, commercial optimisation and customer experience.

The Role

As Senior Supply Chain Analytics Lead, you will:

* Lead analytics across supply, inventory and operations, including stock levels, warehouse flows and fulfilment performance.

* Analyse channel behaviours and supply dynamics across direct, bulk and consignment models.

* Optimise warehouse capacity and operational efficiency through data-led insights.

* Conduct cost analysis across postage, shipping and fulfilment methods.

* Design, run and evaluate A/B tests and experiments across supply chain processes.

* Build analytical models and reporting using SQL, Python and Tableau or similar BI tools.

* Mentor at least one analyst and guide them through transformation-focused projects.

* Partner with senior stakeholders to shape operational strategy and support ongoing growth.

* Play a key role in scaling the analytics function as the business continues to evolve.

Your Skills and Experience

You will need:

* Strong commercial experience in supply chain, operations or inventory analytics.

* Hands-on capability in SQL, Python and BI tools such as Tableau or Power BI.

* Experience running experiments, designing A/B tests and analysing results with statistical rigour.

* Confidence working with large datasets and building clear, stakeholder-ready insights.

* Ability to communicate complex analysis in a simple, commercial way.

* A proactive, practical mindset with comfort operating in a fast-moving, changing environment.

* Experience mentoring or coaching others in analytics.

HOW TO APPLY:

Apply by sending your CV to Joe by the link below.

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Customer Insight Lead
£70,000-£90,000 + Bonus
Greater Manchester (Hybrid – 2x Days a Week in Office)

THE COMPANY

A leading UK health and life insurer, known for its innovative, rewards-led model that incentivises healthier lifestyles, is seeking a Customer Insight Lead. The business is backed by a global financial services group and continues to operate at scale; they’re investing heavily in data, analytics, and customer insight, and doubling down on personalisation and customer-centricity, with insight at the core.

THE ROLE

Reporting into the Director of Customer Insight, this is a senior individual contributor role acting as the strategic glue across Analytics, BI, and Insight.

• Define and drive the customer insight strategy and frameworks
• Bridge data, tech, and business teams to ensure insight drives decisions
• Partner with Marketing, Product, and Data Science
• Champion a customer-first mindset across the organisation
• Deliver hands-on analysis and insight to influence outcomes
• Support self-serve BI and scalable insight delivery
• Contribute to predictive and advanced analytics initiatives

Split: 50% strategy / 50% hands-on delivery

YOUR SKILLS & EXPERIENCE

• Strong SQL
• Python experience is strongly preferred
• Proven ability to turn data into clear, actionable insight
• Experience with predictive / advanced analytics or modelling frameworks
• Background in large, complex organisations (FS&I a plus)
• Strong stakeholder management with a focus on driving impact
• Comfortable operating across both strategy and delivery

THE BENEFITS

• £70,000 – £90,000

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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Data Analyst

This is a great opportunity to join a growing data and analytics consultancy where you will work closely with clients to turn complex data into clear, commercial insight. The role offers variety, responsibility, and genuine exposure to decision makers across multiple industries, making it ideal for an analyst who enjoys both hands on delivery and client engagement.

The Company
We are a data and analytics consultancy that combines large scale proprietary data with advanced analytics and insight delivery. We develop and maintain our own data and analytics products, supporting clients with customer insight, predictive modelling, and commercial decision making. Our work spans sectors including energy, financial services, charities, and consumer brands.

The Role

• Work directly with clients to understand business challenges and define analytical requirements
• Lead data discovery, exploration, and analysis across multiple datasets
• Analyse complex data to create meaningful insight
• Build reports and dashboards that clearly communicate findings to stakeholders
• Present insights and recommendations, translating technical analysis into commercial outcomes
• Contribute to a range of projects including customer behaviour analysis, segmentation, revenue and collections analytics, and data maturity initiatives

Your Skills & Experience

• Strong commercial experience in a data or analytics role, ideally within a consultancy or client facing environment
• Advanced SQL skills and confidence working with complex, real world datasets
• Experience using Python for analysis and data transformation
• Experience with Power BI or similar dashboarding tools
• Ability to work independently, manage ambiguity, and ask the right questions
• Strong communication skills with confidence engaging stakeholders

What We Offer

• Exposure to varied clients, industries, and analytical challenges
• A supportive environment with access to data science, engineering, and project delivery expertise

To Apply for this Job Click Here

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Research Manager

London | 45000 to 55000

This is an excellent opportunity to join a high‑growth research and technology business that is transforming how organisations understand consumers, citizens and audiences. You will work across diverse clients, take ownership of end‑to‑end quantitative projects, and play a key role in delivering high‑quality insight using innovative research technology.

The Company

They are a fast‑scaling research and data company built around modern technology, smart automation and robust quantitative methods. Their platform delivers high‑quality polls, surveys and data outputs at speed, supporting commercial brands, non‑profits and social organisations. The team brings together strong research expertise and engineering talent, creating a collaborative environment that is both analytical and forward‑thinking. They have built a strong reputation in the market and continue to grow rapidly.

The Role

* Independently manage and deliver quantitative research projects across sectors including political, consumer and multi‑market studies.
* Lead client communication from project scoping through to presenting results and insights.
* Manage client accounts, acting as the main point of contact and understanding broader strategic needs.
* Create data tables and outputs using internal tools and reporting platforms.
* Partner with consulting and analytics teams on larger insight programmes, occasionally leading these end‑to‑end.
* Mentor and develop junior researchers, ensuring strong delivery standards.
* Design high‑quality surveys, manage sampling and ensure data integrity across all stages.
* Support the delivery of brand tracking, brand lift, ad testing, segmentation and multi‑country research programmes.
Your Skills And Experience
* Strong experience delivering quantitative market research projects from brief to debrief.
* Confident designing surveys, managing fieldwork and producing data tables and cross‑breaks.
* Comfortable cleaning raw data and ensuring outputs meet strong quality standards.
* Strong Excel capability; familiarity with tools such as DisplayR is beneficial.
* Commercial awareness and ability to support quoting, proposals and RFP responses.
* Able to manage client conversations, challenge assumptions and provide clear recommendations.
* Comfortable mentoring junior team members and supporting their development.
* Detail‑oriented, proactive and committed to delivering high‑quality research.

What They Offer

* Salary between 45000 and 55000.
* Hybrid working with four days a week in their London office
* Exposure to a wide variety of clients across commercial, political and social sectors.
* Opportunity to work with innovative research technology, including AI‑powered tools.
* Benefits including private healthcare, 25 days annual leave and pension contributions.
* A collaborative, inclusive environment with strong learning and development opportunities.

How To Apply

If you are looking to take ownership of impactful quantitative research projects within a modern, innovative research team, apply now to learn more.

To Apply for this Job Click Here

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Senior Research Executive
London (Hybrid, 2 days per week) | Up to £40,000 pro rata | 7 month FTC

This is a rare opportunity to step into a client facing research role within a highly respected, insight led business operating at the top end of professional services. You will work on high impact, strategic research projects from day one, with exposure to senior stakeholders and the chance to make a visible contribution quickly.

The Company
They are a well established, subscription led research and intelligence organisation supporting global professional services firms. Known for their high quality insight, proprietary data and thought leadership, they partner closely with senior decision makers to inform strategy, growth and competitive positioning. Research sits at the heart of the business and is closely connected to commercial and client facing teams.

The Role
You will take ownership of end to end research delivery, working closely with internal stakeholders and external partners.

• Shape research briefs, scopes and project plans for client led studies
• Design questionnaires and discussion guides across qualitative and quantitative research
• Manage outsourced fieldwork partners and oversee project delivery
• Conduct interviews and analyse research outputs
• Build clear, compelling stories from data, including visuals and written reports
• Present findings to senior client stakeholders alongside internal teams

Your Skills and Experience

• Strong commercial research experience, ideally from an agency environment
• Confidence working across mixed methods research
• Experience managing multiple projects and external suppliers
• Comfortable engaging with clients and presenting insight
• Able to work autonomously in a fast paced, deadline driven environment

What They Offer

• Salary up to £40,000 pro rata on a fixed term contract
• Hybrid working with two office days per week
• Exposure to global, strategic research projects
• Opportunity to work closely with senior leaders and high profile clients
• Potential for extension or permanent conversion

How to Apply
Apply now to learn more about this Senior Research Executive opportunity.

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Lead Data Analyst

London Bridge hybrid, £65,000 plus benefits

A great opportunity to take on a strategic Lead Data Analyst role where you will work across experimentation, modelling and BI projects, while shaping long term data strategy and supporting complex digital marketing programmes.

The Company
They are a high growth data and performance consultancy combining analytics, data science and engineering to drive measurable, sustainable growth for well known brands. Their work spans digital marketing data, advanced measurement and predictive modelling, with strong access to client datasets and a culture centred on technical excellence.

The Role
* Lead analytical work across experimentation, causal inference and incrementality
* Build predictive models such as LTV, propensity and forecasting
* Deliver BI and reporting projects using cloud based data and dbt pipelines
* Work hands on with SQL and digital marketing data from Google and Meta
* Partner with data scientists to deploy models into advertising platforms
* Mentor analysts and contribute to technical development across the team

Your Skills And Experience

* Strong technical ability with SQL
* Experience using dbt for transformation and production data models
* Background working with digital marketing data and ad platform signals
* Exposure to BI and analytics projects using tools such as Looker or Tableau
* Understanding of experimentation, causal inference and incrementality
* Knowledge of MMM, LTV and propensity modelling
* Confident communicator who can collaborate with a range of stakeholders

What They Offer

* Up to £65,000 salary
* Hybrid working with one day per week at London Bridge
* Advanced analytics, modelling and measurement projects
* Strong progression opportunities in a growing data function

How To Apply
If this sounds like your next step, apply today to learn more.

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Senior Marketing Analyst
London | Up to £85,000 plus equity

This is a high-impact analytics role sitting at the heart of growth and marketing decision-making within a fast-paced, product-led environment. You will work on complex attribution and customer journey challenges, with real influence over how marketing investment is measured and optimised, particularly across a key international growth market.

The Company
They are a highly data-driven digital business operating in consumer financial products. The organisation is well established, commercially successful, and known for its strong analytics culture. Teams are lean, collaborative, and focused on using data to drive measurable outcomes. The business is continuing to scale internationally, with analytics playing a central role in that growth.

The Role

• Partner closely with growth and marketing teams to support performance analysis and strategic decision-making.
• Analyse marketing spend across digital channels to assess effectiveness and return on investment.
• Track and evaluate customer acquisition sources to understand channel contribution and efficiency.
• Develop and improve attribution approaches, including multi-touch attribution, while accounting for privacy and tracking limitations.
• Optimise marketing and application funnels by identifying drop-offs and conversion opportunities.
• Analyse end-to-end customer journeys across multiple financial products and recommend alternative pathways where appropriate.
• Build models to answer complex commercial questions, such as the incremental impact of new channels or campaigns.
• Apply statistical and experimental techniques to support testing, measurement, and business decisions.

Your Skills & Experience

• Strong commercial marketing analytics experience within a consumer-facing digital environment.
• Advanced capability in SQL and Python, with Python used for modelling and analysis.
• Hands-on experience with attribution modelling and evaluating marketing effectiveness.
• Experience analysing complex customer journeys and funnel performance.
• Comfortable working with experimentation, uplift measurement, and statistical techniques.
• Confident communicator, able to translate analysis into clear, actionable insight for senior stakeholders.

What They Offer

• Salary up to £85,000.
• Equity as part of the overall package.
• A role with genuine ownership and exposure to senior growth and marketing leadership.
• A high-performing, data-led environment with strong standards and clear impact.
• Hybrid working, with Tuesday, Wednesday, and Thursday based in a London office.

How to Apply
If you are interested in this opportunity, please apply to learn more about the role and the wider analytics team.

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