Senior Data Engineer
London / £70000 - £80000 annum
INFO
£70000 - £80000
LOCATION
London
Permanent
Senior Data Engineer | £80,000 | Hybrid & Remote Flexibility
No Sponsorship Available
I am currently partnering with an innovative technology company that is simplifying complex processes through cutting-edge data solutions. They are seeking a Senior Data Engineer to join their agile, collaborative team, where hybrid working and flexible schedules are the norm.
The Role:
As a Senior Data Engineer, you will be instrumental in evolving the company's data infrastructure, driving reliability, scalability, and insight. This is an end-to-end hands-on role where you will:
Enhance the stability and performance of the data ecosystem.
Manage data ingestion pipelines using Azure Data Factory (ADF) and Python.
Ensure high-quality raw datasets to enable accurate analytics and data modeling.
Deploy and maintain data tools on Kubernetes (Airflow, Superset, RStudio Connect).
Support Data Analytics initiatives through DBT, DevOps, and deployment governance.
You will work closely with a small, focused team, contributing directly to strategic data initiatives.
Candidate Profile:
The ideal candidate will have:
Significant experience in Data Engineering, particularly with Azure, Databricks, and Delta Lake.
Proficiency in Kubernetes, Infrastructure as Code, and Terraform.
Strong understanding of Azure DevOps and software engineering best practices.
A passion for delivering transparent, simple solutions and driving innovation in data.
If you thrive in a fast-paced, collaborative environment and enjoy seeing your solutions make a tangible impact, this role will offer you the opportunity to grow technically while shaping the company's data landscape.
Package & Benefits:
Competitive salary up to £80,000 (depending on experience).
Flexible working and generous holiday allowance.
Private medical insurance, pension scheme, cycle-to-work scheme.
Death-in-service coverage and enhanced sick pay.
Structured performance management with career development opportunities.
This is an exceptional opportunity to join a forward-thinking organisation where your expertise will be highly valued.
SIMILAR
JOB RESULTS
Senior Data Scientist
Charlottesville
$95 - $115
+ Data Science & AI
ContractCharlottesville, Virginia
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Senior / Principal Data Scientist
Location: Charlottesville, VA
Employment Type: 12 Month Contract-to-hire
About Us
Our client is an engineering consultancy delivering advanced testing, analytics, and consulting services to organizations worldwide. Our mission is to leverage cutting-edge technology and data-driven insights to improve safety and performance in sports and related industries.
Role Overview
We are seeking a Senior / Principal Data Scientist to lead modeling and analytics initiatives across diverse domains, including:
- Computer Vision: Detect and interpret events from game video.
- Sensor Data Analysis: Event detection from athlete-worn devices.
- Generative AI: Develop solutions to deliver actionable insights to end users.
You will design and implement machine learning models, build simulation-based tools, and create dashboards that provide injury risk assessments and mitigation strategies. This role involves research, algorithm development, and presenting findings to executive stakeholders.
Key Responsibilities
- Develop and implement advanced machine learning models and algorithms.
- Build analytical tools and dashboards using frameworks like Shiny, Dash, or Streamlit.
- Collaborate with cross-functional teams to deliver actionable insights.
- Present research and analytics to leadership and clients.
Qualifications
- Education: MS or PhD in Computer Science, Statistics, or related STEM field.
- Strong understanding of machine learning theory and structure.
- Proficiency in Python or R and experience with common ML libraries.
- Experience with SQL/NoSQL databases and distributed processing.
- 5+ years of post-graduate experience in engineering, consulting, or leadership roles.
Preferred:
- Background in biomechanics or sports analytics.
- Publications or conference contributions in relevant fields.
- Experience with professional sports organizations.
- Consulting experience with executive-level presentations.
Ideal Candidate
You are passionate about applying data science to enhance athlete safety and performance. You thrive in collaborative environments and enjoy building innovative solutions that make a real-world impact.

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Sr Data Scientist
Charlottesville
$100 - $120
+ Data Science & AI
ContractUSA
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Sr Data Scientist
Harnham, the leading recruitment specialist in Data and AI is currently partnering with one of the leading Data consultancies in the US which dominates the risk sector across the Sports industry.
- Role – Sr Data Scientist
- Location – Remote
- Pay – $100 – 120 ph
- Length: 6 – 12 month initial contract (which potential conversion to full-time employee at the end)
- Utilization: 40 hrs per week
- Benefits:W2 employees are eligible to health, dental, vision, 401k benefits.
As a Sr Data Scientist you will be focused the majority of your time on building Data models, analysing risks & injuries across multiple sporting sectors in the US. You will get the opportunity to work on some of the most interesting & innovative models which has huge cultural impact globally.
You will be using ML to build Data Models including with VLMs and LLMs to assess the risk of injury to players through play & facilities to help the world of sport ensure the best players are playing, and not in the medical room.
Key Responsibilities:
- Building Data Models focused on injury assessment
- Work with Jr Data Scientists in the team to provide guidance and direction to their work and act as a technical lead
- Work with VLMs to assess impact of changes and environment to player welfare
- Use and utilize AI to build best-in-class models
Requirements:
- Degree in CompSci, Stats or STEM
- Strong ML experience
- Experience working with VLM inputs into data modelling in production
- Demonstrable production experience with Python
- AWS background
- Experience within the Sports sector or industry
This is an excellent opportunity for an individuals who want to work in the Sports sector and have a massive impact on the weekly culture of the USA through Data

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CRM & Retention Manager
London
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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CRM MANAGER (E-COMMERCE / SUBSCRIPTIONS)
UP TO £60,000 + EQUITY
HYBRID – 3-4x A MONTH IN LONDON
Please note, you must be a UK resident to apply and have full right to work.
THE COMPANY
This fast-growing subscription-based e-commerce business launched just a year ago and is already scaling rapidly. Offering a range of functional coffees and matchas, the brand focuses on high-quality formulations supported by a loyal subscriber base, with most customers opting for a monthly product plan.
With a small team of around 5-6 people, the business is lean, ambitious, and backed by active investment from VC partners – creating a genuinely exciting time to join. Growth is outpacing team expansion, meaning every hire has meaningful impact and real ownership from day one.
Retention is at the heart of the model, and although the product currently drives strong organic performance, there is huge opportunity to elevate customer experience, engagement, and lifetime value through more sophisticated CRM strategy.
THE ROLE
As the CRM Manager, you’ll take ownership of the full CRM function and play a pivotal role in developing how the brand communicates, nurtures, and retains its customer base. The company is supported by a high-performing agency, but now needs someone in-house to drive strategy, push innovation, and work side-by-side with their external CRM partners.
This is both a strategic and hands-on role, covering:
- Planning, building, testing, and deploying CRM campaigns across email and WhatsApp
- Developing segmentation strategies and running A/B tests to optimise engagement
- Analysing previous campaigns and customer behaviour to inform ongoing improvements
- Working alongside the agency to continually enhance lifecycle journeys
- Supporting the creation of loyalty and rewards programmes
- Owning retention-focused initiatives across the subscription model
- Reporting on performance and identifying opportunities to improve LTV and reduce churn
You’ll be joining at a stage where there is plenty of low-hanging fruit – the brand is performing strongly with relatively minimal CRM activity, meaning your ideas can have an immediate commercial impact.
YOUR SKILLS AND EXPERIENCE
You’ll bring:
- Experience in CRM, preferably within e-commerce
- Hands-on experience with Klaviyo
- A solid understanding of lifecycle marketing, segmentation, A/B testing, and multichannel campaign execution
- Confidence analysing CRM performance and translating insights into action
- Experience working with subscription models (ideal, not essential)
- A proactive mindset with the ability to add value from day one
- Ambition and drive – the team is young, forward-thinking, and focused on progression
BENEFITS
- Equity offered for new starters, with a focus on long-term growth
- Direct ownership of the CRM function in a rapidly scaling business
- Strategic and hands-on responsibilities from day one
- Opportunity to build and shape loyalty and rewards programmes
- Exposure to a high-growth environment backed by VC investment

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Senior Data Analyst – Marketing Science
London
£55000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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SENIOR DATA ANALYST – MARKETING SCIENCE
UP TO £65,000 + BENEFITS
LONDON – 4 DAYS PER WEEK IN HAMMERSMITH
Please note: you must have full UK right to work and be able to commute to Hammersmith four days per week.
ABOUT THE BUSINESS
This is a fast-growing digital media and subscription platform operating at scale across multiple markets. The business combines content, advertising, and subscription revenue models and is undergoing rapid growth in its analytics capability. With a strong emphasis on data-driven decision-making, the company is investing heavily in measurement frameworks that enable smarter spending, sharper marketing effectiveness, and sustainable subscriber growth.
THE TEAM
You’ll join the newly established Marketing Analytics function; a specialist group focused on advanced measurement, marketing mix modelling, experimentation, and campaign performance evaluation. Sitting within the wider Analytics organisation (which includes content analytics, local analytics, and subscriber growth), this team partners closely with global stakeholders and plays a pivotal role in shaping how marketing investment decisions are made.
You’ll work closely with performance marketing, brand marketing, research, finance, and an internal analytics team based in the US, while reporting directly into the Head of Marketing Analytics.
The environment is young, collaborative, and still being shaped, offering the rare opportunity to define processes, build new frameworks, and pave the way for best-in-class marketing measurement.
THE ROLE
This is a hands-on and highly strategic MMM role, responsible for building, refining, and operationalising measurement models that drive smarter marketing decisions.
You’ll be a key partner in helping the business understand how campaigns perform, what drives incremental growth, and how budgets should be allocated across channels. This is far more than running models – you’ll play a central part in turning insights into real-world decisions.
Key responsibilities include:
- Building, maintaining, and evolving MMM models to understand the impact of marketing on subscriber growth and engagement.
- Supporting the transition from MMM to complementary approaches such as geo-testing, incrementality testing, and A/B experimentation.
- Designing creative test-and-learn frameworks to measure campaign performance more accurately.
- Working closely with marketing teams to ensure insights translate into clear recommendations and implemented actions.
- Partnering with commercial stakeholders to assess forecast accuracy and support campaign planning.
- Collaborating with performance, brand, and finance teams to communicate findings and influence investment decisions.
- Contributing to the development of measurement methodologies across a scaling analytics organisation.
SKILLS & EXPERIENCE REQUIRED
Essential:
- Proven experience in Marketing Mix Modelling and marketing effectiveness frameworks.
- Strong SQL skills (high bar – candidates must be comfortable scoring 10-11 out of 15 on SQL assessments).
- Hands-on experience with R or Python for statistical modelling.
- Strong experimentation background (A/B testing, geo-testing, incrementality).
- Excellent communication skills – able to simplify complex models and influence senior, non-technical stakeholders.
- Ability to translate insights into actionable recommendations and ensure follow-through.
Desirable:
- Experience working with commercial stakeholders in media, advertising, or subscription environments.
- Exposure to international teams or matrixed organisations.
- Ability to build credibility quickly in a fast-paced, growing analytics function.
WHY APPLY?
- Shape a new marketing analytics function from the ground up.
- Work across a broad and influential stakeholder group, including commercial, media, brand, and finance teams.
- Build advanced MMM and experimentation frameworks that directly influence budget allocation and subscriber growth.
- Join a young, high-growth business where analytics is deeply valued and still evolving – giving you the chance to define the blueprint going forward.

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Campaign Data Analyst
London
£40000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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CAMPAIGN DATA ANALYST
UP TO £50,000
LONDON – HYBRID – 2X A WEEK
Please note: you must have full UK right to work and be familiar with the UK education system.
ABOUT THE BUSINESS
This purpose-led brand and social impact agency has over 20 years’ experience delivering insight-driven campaigns that connect organisations with young people. A core part of the business focuses on deep engagement with the UK and Ireland education systems, partnering with schools and delivering education-focused initiatives at scale.
The agency operates with a strong emphasis on data quality, accuracy, and insight-led storytelling. Data plays a central role in shaping campaigns, forecasts, and strategic decisions, making this a business-critical hire.
THE TEAM
You’ll join a small, close-knit data team operating as a central triage point for the wider agency. The team supports a broad range of data-driven questions, from campaign performance and forecasting to CRM insight and client reporting.
The environment is collaborative, autonomous, and fast-paced. Chemistry and cultural fit are essential, with individuals trusted to own their work, manage stakeholders, and deliver high-quality outputs with minimal oversight.
THE ROLE
This is a varied, agency-style Data Analyst position combining hands-on analysis, forecasting, CRM insight, and increasing client-facing engagement over time. The role is a replacement hire, with a strong dependency on handover, and will be critical to maintaining continuity across campaigns and products.
You’ll be expected to take ownership of incoming data requests, confidently explain methodology, and ensure all outputs are accurate, robust, and commercially meaningful.
Key responsibilities include:
Analysis & Insight
- Act as a triage point for incoming data questions and analysis requests.
- Analyse client-provided datasets in multiple formats, often Excel-heavy.
- Translate complex data into clear, insight-led narratives for internal and external stakeholders.
Forecasting & Modelling
- Support campaign forecasting and modelling, including predicting registrations and outcomes.
- Advise on channels, timelines, and expected performance based on data-led assumptions.
- Contribute to the development of longer-term forecasting capability.
Data Quality & Methodology
- Ensure high standards of data quality, accuracy, and consistency across all outputs.
- Confidently answer questions on methodology and analytical approach, particularly for high-impact work.
- Take accountability for outputs that directly influence campaign outcomes and business forecasts.
Systems & Reporting
- Work with a relational database supporting an education-focused partnership product.
- Use SQL-driven analysis to feed into Power BI dashboards and reporting.
- Select appropriate tools and techniques depending on data structure and campaign needs.
SKILLS & EXPERIENCE REQUIRED
Experience in a data analyst role.
- Strong preference for agency or marketing-led backgrounds.
- Advanced Excel (VLOOKUP/XLOOKUP, conditional formatting, charts, visualisation).
- SQL (joins, selects, data manipulation).
- Experience working with relational databases.
- Power BI for reporting and visualisation.
- Experience with CRM data, segmentation, or campaign selection.
WHY APPLY?
- Join a purpose-driven agency where data directly influences real-world outcomes.
- Take ownership in a business-critical role with high visibility and impact.
- Work across a broad range of analysis, forecasting, and client-facing projects.
- Be part of a collaborative, agile data team that values quality, autonomy, and insight-led thinking.

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Principal Econometrician
London
£60000 - £70000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Principal Econometrician
Location: West London (Hybrid – 3 days a week in the office)
Salary: Up to £70,000
Ready to make an impact in a dynamic, fast-paced environment? Join a leading media and entertainment brand and take on an exciting opportunity to drive the efficiency of marketing plans through advanced econometric insights.
Role Overview:
As a Principal Econometrician, you’ll play a pivotal role in delivering econometric projects that help optimize business decision-making. You’ll work with key stakeholders to ensure your insights translate into real-world decisions on budget allocations, media planning, and marketing efficiency. If you’re passionate about advanced statistical techniques, media planning, and optimizing commercial strategies, this role is for you.
Key Responsibilities:
- Lead the delivery of econometric projects, ensuring alignment with key business goals and objectives
- Drive the Cross-Portfolio Optimisation process, using econometric insights to inform budget allocations and marketing decisions
- Collaborate with key stakeholders to integrate econometric findings into real-world business decisions
- Partner with consumer strategy teams to enhance the department’s reputation and influence within the company
- Lead the development of new techniques, tools, and processes to improve team efficiency, staying ahead of industry trends
Ideal Candidate:
- Proven experience delivering econometrics projects with an established provider in the industry
- Experience with sizing, allocating, and optimizing media investment decisions in a commercial context
- Passion for using statistical techniques to convert data into actionable recommendations
- Strong understanding of media planning and buying, and knowledge of how optimization techniques inform media strategies
- Advanced Excel skills to manipulate data and optimize based on model parameters
- Self-motivated with the ability to thrive in a fast-paced, dynamic environment
- Experience in developing and upskilling econometrics teams to ensure the use of the latest tools and techniques
- Excellent communication skills with experience delivering results and recommendations that impact commercial decision-making
- Strong organizational and time management skills to manage multiple tasks and priorities effectively
- Knowledge of Python is desirable
The Benefits:
- Up to £70,000 + benefits
- Hybrid
- West London (x3 days a week)
How To Apply:
If interested in the role please send your CV to Jordan Victor via the Apply Link below

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Senior Analyst
London
£70000 - £85000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Senior Analyst
Location: London – 3 days per week
Salary: Up to £85,000
A private equity-backed company in the green tech space is looking for a Data Scientist / Analytics professional to join a growing team. This is a hands-on role with real ownership, helping the business turn large volumes of data into actionable commercial insights.
What You’ll Do:
-
Work closely with the Head of Analytics to deliver actionable insights across the network of charging points
-
Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth
-
Build statistical models for segmentation, regression, predictive modelling, and forecasting
-
Support pricing and revenue optimisation initiatives, including dynamic pricing strategies
-
Query and process large datasets coming from multiple real-time sources
-
Translate complex analysis into clear recommendations for non-technical stakeholders
What You’ll Need:
-
Strong SQL and Python skills; experience in AWS environments is a plus
-
Solid statistical analysis background (segmentation, regression, forecasting)
-
Hands-on, adaptable, and comfortable in a smaller, fast-moving team environment
-
Excellent communication skills and ability to take ownership of projects
-
Experience delivering actionable insights rather than exploratory or purely machine learning work
Interview Process:
-
Remote competency interview and CV review
-
Face-to-face interview with testing component (details to be confirmed)
Find out more and apply via the link below.

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CRM Lead – Hubspot
London
£85000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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CRM Lead (HubSpot) – London / Hybrid
A high-growth B2B blockchain analytics company is scaling its commercial engine and building out a next-generation GTM engineering function. As part of this, we’re looking for a hands-on Lead GTM Systems/CRM specialist to own, optimise, and innovate across our commercial tech stack, with HubSpot at the core.
This is an individual-contributor role with massive scope: you’ll be the technical and operational backbone for our go-to-market teams as the business doubles its sales organisation and invests heavily into scalable revenue operations.
What you’ll do
-
Act as the HubSpot expert-admin, architecture, optimisation, and advanced workflow build.
-
Improve and scale lead flow, routing logic, data quality, and commercial processes as volumes increase.
-
Build a robust GTM tech stack, integrating HubSpot with internal tools and external platforms.
-
Partner with engineers to deliver deeper technical integrations when needed.
-
Support launch and iteration of new sales processes, working closely with RevOps.
-
Use low-code automation tools and AI-assisted development where useful.
-
Unlock maximum value from HubSpot, including custom apps, integrations, and advanced automation.
What we’re looking for
-
Deep HubSpot experience (admin, architecture, workflows, automation, reporting).
-
Background in marketing operations, growth ops, or GTM systems, ideally in B2B SaaS.
-
Comfortable getting hands-on-scrappy, technical, implementation-first mindset.
-
Experience scaling CRM and GTM systems during high-growth stages.
-
Ability to collaborate with engineering teams when work extends beyond low-/no-code.
-
Strong understanding of SaaS customer lifecycle funnels.
-
Interest in crypto / digital assets is a bonus.
Team & Environment
You’ll work closely with the Director of GTM Engineering and partner daily with RevOps, sales, marketing, and engineering. The structure is intentionally flat, offering autonomy and the ability to shape how the commercial engine scales.
Location
Hybrid – London, Bank (EC4)
8 days per month in the office (more during the first 1-2 months).
Salary
Up to £100,000 (Lead level)
Benefits
Interview Process
-
Hiring Manager interview
-
Panel with senior leadership
-
Values & behaviours interview
Find out more and apply via the link below.

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Senior Econometrician
London
£50000 - £60000
+ Advance Analytics & Mrktg Insight
PermanentLondon
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Senior Econometrician
Up to £60,000
Hybrid – London
A great opportunity to join a leading marketing agency as a Senior Econometrician
THE COMPANY
The business are a leading marketing agency specialised in content creation, social campaigns and media measurement across the globe. Working with clients from various different sectors the business are now looking to grow out the team due to an influx of new projects – and are seeking to hire a Senior Econometrician to join their Measurement team.
THE ROLE AND RESPONSIBILITIES
- Supporting the team on econometrics projects including maintaining, running, and building MMM models from scratch
- Collecting, preparing and cleansing datasets from various sources
- Presenting key insights to clients and senior stakeholders
- Analysing marketing data and providing insights and recommendations to clients
- Support clients with optimising marketing and advertising spend
YOUR KEY SKILLS AND EXPERIENCE
- Proven track-record building MMM/Econometrics models from scratch
- Background in marketing analytics or customer analytics
- Strong technical experience
- Strong communication skills
THE BENEFITS
- Up to £60,000
- Hybrid
- London
HOW TO APPLY
If interested in the role please send your CV to Jordan Victor via the Apply Link below

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CRM and Retention Manager
London
£45000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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CRM & Retention Manager – £45,000-£60,000 + Equity | 75% Remote (UK)
Join a fast-growing subscription ecommerce brand as their first in-house CRM hire. You’ll take ownership of retention strategy across email and WhatsApp, building on strong foundations set by their CRM agency. This is a hands-on role where you’ll analyse subscriber behaviour, optimise customer journeys, lead loyalty initiatives, and drive long-term retention.
What You’ll Do:
-
Own CRM & retention strategy across email and WhatsApp
-
Analyse subscriber data to optimise retention and upsell flows
-
Collaborate with the CRM agency while gradually taking full in-house ownership
-
Build loyalty and rewards programmes, A/B tests, and segmentation strategies
-
Support rollout of new subscription experiences
About You:
-
Few years experience in CRM, retention, or lifecycle marketing
-
Experience with Klaviyo; subscriptions or ecommerce a strong plus
-
Data-literate, commercially minded, and proactive
-
Excited by a fast-growing, early-stage environment with equity & long-term progression
Location & Working Style:
-
75% remote UK; occasional team trips
-
London-based helpful but not essential
Salary & Package:
-
Up to £60,000 plus benefits
-
Equity for all new starters
Find out more and apply via the link below.

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Product Data Scientist/Analyst
London
£60000 - £80000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Job Title: Product Data Scientist – Hybrid – Up to £80,000
Location: London (Hybrid, 2 days p/w in office)
Salary: Up to £80,000 + benefits
Contract: Permanent
The Company
A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.
The Role
As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.
Key Responsibilities:
-
Analyse user behaviour to uncover insights, identify pain points, and influence product direction.
-
Design experiments and support a culture of testing, learning, and iteration.
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Define and align key business metrics, ensuring consistency and accuracy across teams.
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Build and maintain dashboards and tools to empower stakeholders with self-serve insights.
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Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.
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Collaborate across functions to close data gaps and drive analytics best practice.
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Stay current on industry trends and champion innovative approaches to product data science.
The Candidate
-
Proven experience in analytical roles, ideally within a digital-first or tech-led business.
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Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).
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Ability to translate business challenges into clear analytical projects and recommendations.
-
Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.
-
Curious, proactive, and detail-oriented problem solver.
-
Team player with strong collaboration skills.
What’s on Offer
-
Salary up to £80,000 + bonus
-
Hybrid working (2 days per week in London office)
-
Competitive annual leave package
-
Pension scheme and healthcare support
-
Employee discounts and perks
-
Regular team socials and recognition initiatives
-
Strong learning and development opportunities
Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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Customer Data Analyst
London
£40000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Customer Data Analyst – up to £50,000 | Hybrid (2 days per week in London)
High-growth consumer services company | Expanding data team | Customer behaviour & retention focus
I’m supporting a rapidly expanding consumer services organisation that has seen significant growth and investment in digital, data, and customer analytics over the past few years. As part of their continued transformation, they are looking for a Customer Data Analyst to join their insights function and help shape customer strategy across the business.
This is an opportunity to join a modern, insight-driven environment, working with senior stakeholders and influencing decisions around customer value, retention, product innovation, and commercial performance.
The Role
You will join a collaborative analytics team and work with stakeholders across Commercial, Marketing, Finance, and Technology. Your focus will be understanding customer behaviour, identifying value opportunities, and delivering insights that directly inform business strategy.
What You’ll Be Doing
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Develop and enhance customer segmentation to identify behavioural and value-based groups.
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Analyse churn, retention, loyalty, and customer lifetime value to support business planning.
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Explore diverse datasets – including customer interactions, service usage, device/behavioural data, and geographic insights – to uncover new opportunities.
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Conduct deep-dive evaluations of customer-focused product ideas and potential investments, providing clear, actionable recommendations.
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Partner with senior stakeholders to communicate insights in a simple, commercial, and impactful way.
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Support A/B testing, funnel analysis, and journey optimisation initiatives.
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Build dashboards and automate reporting to improve operational efficiency and insight accessibility.
What They’re Looking For
-
Strong SQL and Python experience with solid analytical and storytelling skills.
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Background in customer or commercial analytics (telco, subscription, retail, e-commerce, utilities, FS, etc. all relevant).
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Ability to translate complex data into clear, actionable insight.
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Confident working with senior stakeholders and owning analysis end-to-end.
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Experience with segmentation, churn/retention analysis, or CLTV modelling is a strong advantage.
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Someone proactive who enjoys solving real business problems with simple, effective solutions.
Why This Role Is Unique
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Join a fast-growing organisation investing heavily in analytics and insight.
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Work on high-impact customer insight projects with strong visibility across the business.
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Lots of opportunity for greenfield analysis-many datasets remain underutilised.
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Collaborative team environment with strong leadership and clear direction.
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Ideal for someone who enjoys mixing hands-on analytics with strategic business influence.
Salary & Working Model
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Up to £50,000 base salary plus benefits
-
Hybrid: 2 days per week in theLondon office
-
Excellent exposure, learning opportunities, and ownership of key customer insight projects

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