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Senior Data Scientist
$120,000-$140,000

Overview

A venture-backed, early-stage technology company is seeking a Data Scientist to lead the development and deployment of advanced measurement, experimentation, and causal inference solutions. This individual will play a critical role in shaping core product capabilities, validating model performance with customer data, and helping translate analytical insights into business impact.
The ideal candidate combines strong quantitative expertise with the ability to communicate effectively across technical, business, and customer-facing environments. This is a highly entrepreneurial opportunity for someone excited about building systems, processes, and products from the ground up.

Key Responsibilities

• Own the design, testing, and optimisation of models that drive product recommendations and insights.
• Translate causal inference and experimentation methodologies from research concepts into production-ready solutions.
• Validate model effectiveness using real-world customer data.
• Lead a critical modelling workstream from development through deployment.
• Partner directly with customers during pilot programmes and proof-of-concept engagements.
• Collaborate with cross-functional teams to improve analytical capabilities and product outcomes.
• Contribute to the continued evolution of the company’s data science and measurement strategy.

Required Qualifications

• PhD strongly preferred; Master’s degree considered in Statistics, Economics, Computer Science, Data Science, or another quantitative discipline.
• Experience deploying causal inference and experimentation solutions in production environments.
• Hands-on expertise with methodologies such as:
  • Synthetic Control
  • Difference-in-Differences (DiD)
  • Double Machine Learning (DML)
• Experience designing and analysing A/B tests and experimentation frameworks.
• Strong Python development and model-building experience.
• Demonstrated ability to build new capabilities, products, frameworks, or functions in emerging or fast-paced environments.
• Excellent communication skills with the ability to explain complex concepts to both technical and non-technical audiences.
• Comfortable interacting with customers and external stakeholders.

Preferred Qualifications

• Background in marketplace, technology, analytics, retail, consumer products, or related data-intensive industries.
• Experience building data ingestion pipelines and data infrastructure.
• Interest or demonstrated potential in product leadership, product strategy, or future product management responsibilities.
• Previous startup or early-stage company experience.

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Martech Engineer
London, (Hybrid, 2 days in office) | Up to £55,000 + Benefits

This is an exciting opportunity to join a growing technology and media solutions function where you’ll build innovative data, automation, and AI-driven products that have a direct impact on client performance. You’ll work across a varied project portfolio, combining modern engineering practices with emerging AI technologies to solve real business challenges.

The Company
They are a specialist digital and technology consultancy that helps organisations drive growth through data, automation, and digital innovation. Working across a diverse range of clients and projects, they combine technical expertise with strategic thinking to deliver measurable outcomes. Their collaborative environment encourages innovation, continuous improvement, and knowledge sharing across teams.

The Role
You will join the Media Solutions team and play a key role in designing, building, and maintaining a range of proprietary tools and platforms.
Responsibilities include:

• Designing and developing scalable data, automation, and AI solutions
• Building API integrations and data pipelines across cloud environments
• Developing and maintaining internal and client-facing applications
• Collaborating with stakeholders to identify challenges and deliver effective technical solutions
• Contributing to innovation strategy, tooling improvements, and best practices
• Supporting and enhancing existing products across SEO, content, paid media, and analytics
• Troubleshooting and resolving technical issues across the product suite
• Working with modern AI frameworks to develop intelligent workflows and agent-based solutions

Your Skills & Experience

• Strong commercial experience with JavaScript, TypeScript, and Node.js
• Experience developing and maintaining serverless applications
• Familiarity with cloud platforms, ideally Google Cloud Platform (GCP)
• Experience integrating AI capabilities into products and workflows
• Knowledge of agentic frameworks such as LangChain, CrewAI, or similar
• Exposure to front-end development frameworks such as React
• Excellent communication skills with the ability to explain technical concepts clearly
• Experience working with digital marketing, analytics, or performance-focused environments is advantageous
• Additional experience with ETL/ELT processes, BigQuery, data warehouses, or data visualisation tools would be beneficial.

How to Apply
If you’re a Martech Engineer, Software Engineer, or Automation Engineer with a passion for AI, cloud technologies, and digital innovation, apply today to learn more about this opportunity

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Marketing Automation Engineer
Remote (UK) with occasional travel to Berkshire | Up to £90,000 + Benefits

This is an opportunity to join a growing digital business where marketing, data and technology are closely aligned. You’ll play a key role in shaping customer engagement, driving conversion performance and building scalable marketing automation solutions that directly impact business growth.

The Company
They are an established digital consumer business with a strong focus on customer experience, data-driven decision making and technology-enabled growth. Operating in a fast-paced environment, they invest heavily in automation, analytics and customer lifecycle marketing. Their teams work collaboratively across engineering, data and marketing to deliver measurable commercial outcomes. They offer a flexible, remote-first culture with significant autonomy and ownership.

The Role
As a Marketing Automation Engineer, you will sit at the intersection of marketing and technology, building automated customer journeys and integrating data across platforms to improve engagement, retention and conversion.
Responsibilities include:

• Building and optimising automated email journeys for acquisition, retention and reactivation campaigns
• Developing and maintaining customer audience integrations across CRM, data warehouse and advertising platforms
• Creating and managing conversion tracking and data feeds for paid media channels
• Building API integrations and automated workflows using JavaScript and Node.js
• Supporting remarketing campaigns across Google Ads, Microsoft Advertising and Meta
• Monitoring automation performance, identifying opportunities for improvement and implementing enhancements
• Working closely with marketing, engineering and data teams to deliver measurable business outcomes
• Ensuring compliance with privacy, consent and customer data management requirements
• Measuring campaign performance and contributing to ongoing testing and optimisation initiatives

Your Skills & Experience

• Strong commercial experience in marketing automation, CRM engineering or marketing technology roles
• Hands-on JavaScript and Node.js development experience
• Strong SQL skills and experience working with customer and transactional data
• Experience building API integrations and automated data workflows
• Knowledge of server-side conversion tracking and advertising platform integrations
• Experience creating automated customer journeys, personalisation and testing programmes
• Understanding of HTML/CSS for email template troubleshooting and optimisation
• Experience with Google Ads, Microsoft Advertising, Meta or other paid media platforms
• Ability to translate marketing requirements into scalable technical solutions
• Experience with platforms such as Salesforce, BigQuery, Klaviyo, SendGrid or similar is advantageous

How to Apply
To learn more about this Marketing Automation Engineer opportunity, please submit your CV for a confidential discussion.

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Senior Data Analyst
London (Hybrid) | Up to £75,000 + Benefits

Looking for an opportunity to shape subscription growth and customer retention through data? This is a chance to join a fast-growing digital business where your insights will directly influence product strategy, audience engagement, and commercial performance. You’ll work with large-scale user data, build predictive models, and help drive critical decisions across the organisation.

The Company
They are a technology-led digital business with a large global audience and a strong focus on innovation, data, and customer experience. Operating at scale, they use data to inform product development, subscription growth, and engagement strategies. Their collaborative environment brings together teams across analytics, product, marketing, and engineering to solve complex challenges and deliver measurable impact.

The Role

• Analyse the end-to-end subscription funnel to identify conversion opportunities and areas for optimisation.
• Deliver insight into customer behaviour, retention trends, and subscriber engagement.
• Develop and enhance Lifetime Value (LTV) and churn prediction models.
• Build dashboards and reporting solutions that monitor key subscription and business metrics.
• Partner with Product, Marketing, and Engineering teams to improve data collection and measurement frameworks.
• Conduct deep-dive analysis to support growth initiatives and strategic decision-making.
• Present actionable recommendations to both technical and non-technical stakeholders.
• Support experimentation and measurement strategies to evaluate business performance.

Your Skills & Experience

• Strong commercial experience in data analysis, customer analytics, lifecycle analytics, or subscription analytics.
• Advanced SQL skills with experience working in cloud-based data environments.
• Experience building analytical datasets, data models, or data pipelines.
• Strong understanding of retention analysis, cohort analysis, experimentation, and predictive modelling.
• Experience with BI and data visualisation tools such as Looker Studio, Power BI, or similar.
• Ability to communicate complex findings clearly and influence business stakeholders.
• Experience working cross-functionally within product, marketing, or growth-focused teams.
• Exposure to Python or R for advanced analytics is beneficial.
• Experience within subscription, membership, media, digital product, or customer-focused environments is advantageous.

How to Apply
If you’re a commercially minded Senior Data Analyst with a passion for customer analytics, retention, and subscription growth, apply today to learn more about this opportunity.

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Senior Analyst – Sports Media Rights | London | £40k-£50k

We’re working with a leading global sports intelligence and analytics business that is growing its Media Rights team and looking to hire a Senior Analyst in London.

This is a great opportunity for someone with 2-4 years’ experience and a strong understanding of sports media rights, broadcasting and the wider sports media landscape.

The role will involve:

• Tracking and analysing the global sports media rights market
• Researching and maintaining a database of rights deals
• Analysing deal structures and commercial trends
• Using proprietary models to value sports media rights
• Working with data to identify trends and generate insights
• Producing reports and client-ready analysis
• Supporting dashboards and data-driven products
• Responding to bespoke client questions and research requests

We’re particularly interested in candidates with experience from sports rights holders, broadcasters, sports agencies, media businesses or sports/media consultancies.

You’ll need strong Excel, data analysis and modelling skills, as well as the ability to understand the commercial logic behind rights valuations and challenge whether outputs and assumptions make sense.

Sports media rights / TV broadcasting knowledge is essential – this could come from experience working directly with rights, broadcasting, media deals, sports commercial strategy or related areas.

Salary: £40k-£50k
Location: London

If you have a background in sports media rights, broadcasting or sports commercial analysis and are open to a new opportunity, please get in touch for more information.

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Customer Analytics Consultant (Selections) – 12 Month FTC
Up to £50,000 + 17.5% Bonus | Warwickshire | 2 days per month in office

We’re working with a leading financial services business looking for a Customer Analytics Consultant – Selections to join their customer analytics team on a 12-month FTC.

You’ll use SQL and customer data to build campaign selections, evaluate performance and provide insights to improve customer targeting and campaign ROI.

Key skills:

• Strong SQL – essential
• Customer selections, campaign analytics and customer data experience
• Experience working across multiple datasets
• Power BI or other data visualisation experience
• Strong stakeholder management and communication skills
• Ability to translate data into clear business insights
• Regulated industry experience desirable

The role offers:

• £45k-£50k salary
• 17.5% bonus
• 12-month FTC
• 2 days per month in the Warwickshire office
• Exposure to wider customer analytics and data initiatives

Interview process: 1-stage interview following a SQL test.

Interested? Apply now or get in touch for more information.

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Data Analyst – Digital Commerce
Up to £40,000 | Hybrid – London (3 days per week)

We’re partnered with a leading international business looking for a Data Analyst to join their Digital Commerce team.

You’ll analyse e-commerce and customer data across 74 markets, using insights to improve the digital customer journey, performance marketing and commercial performance.

Key skills:

• Strong SQL
• Adobe Analytics or Google Analytics
• Power BI preferred
• 2+ years’ analytics experience (flexible)
• Retail/e-commerce or strong customer journey experience
• Strong stakeholder communication and data storytelling skills

You’ll work across digital analytics, customer journeys, A/B testing, marketing attribution and dashboarding, with exposure to Databricks and Power BI.

Interested? Find out more and apply via the link below!

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Data Analytics Engineer

Location: 100% Remote (U.S.)

Employment Type: Full-Time

Compensation: $110-125k base

A global organization undergoing a major data transformation is hiring multiple Data Analytics Engineers to help build and scale a modern, best-in-class analytics platform.

This role sits at the intersection of data engineering, analytics engineering, BI, and software development. You’ll help build data products that turn complex datasets into scalable reporting, embedded analytics, visualizations, and self-service capabilities used by both internal stakeholders and external customers.

This is a great opportunity for someone who enjoys owning analytics solutions end-to-end – from the underlying data and semantic layer through to the applications and visualizations users interact with.

What You’ll Do:

• Build and enhance scalable analytics products, reporting solutions, dashboards, and embedded analytics applications.
• Develop semantic models across complex datasets with a focus on scalability, performance, and maintainability.
• Work across the full data lifecycle, including data pipelines, warehouse architecture, modeling, reporting, and analytics enablement.
• Partner closely with engineering, IT, analytics, and business stakeholders to translate requirements into technical solutions.
• Develop visualizations and self-service analytics capabilities that make data more accessible and actionable.
• Work with raw and transformed data across multiple sources and data marts.
• Identify opportunities to improve query, system, and analytics-product performance.
• Support data governance, quality, and compliance initiatives across analytics products.
• Contribute to the development of custom data products that integrate analytics and BI platforms with broader applications.

Must Have:

• 5+ years experience in analytics engineering, data engineering, BI engineering, or a similar role.
• Advanced SQL and experience working with relational databases and other modern data stores.
• Programming experience with Python, R, Scala, or a similar language.
• Strong experience with modern BI/analytics platforms such as Looker, Tableau, or Power BI.
• Experience developing semantic/data models for scalable analytics and reporting.
• Understanding of the full data lifecycle, including pipelines, data warehouses, modeling, reporting, and analytics.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Exposure to modern cloud data platforms such as Snowflake, Databricks, or Azure Data Lake.
• Experience with Git and modern software development practices.
• Strong communication skills and the ability to work cross-functionally with technical and business stakeholders.

Nice to Have

• Snowflake experience.
• Looker and LookML modeling experience.
• Experience building embedded analytics applications or bespoke data products from the ground up.
• Front-end development experience with React, Vue.js, or similar frameworks.
• Familiarity with middle- and back-end software development.
• Experience implementing analytics governance and compliance frameworks.
• Experience with query optimization and system performance tuning.

Why Join?

• Join a major data transformation and help shape a modern analytics ecosystem.
• Build products from the ground up rather than simply maintaining legacy reporting.
• Work across analytics engineering, data engineering, BI, and software development.
• Create analytics products with direct visibility and impact across the organization and its customers.
• 100% remote opportunity.
• Comprehensive benefits including medical, dental, vision, retirement programs, wellness resources, and additional employee benefits.

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Customer Selections and Analytics Consultant

Stratford-upon-Avon | £45,000 – £50,000

An exciting opportunity for a data and analytics professional to use customer data to improve campaign targeting and performance. You will combine strong SQL skills with data visualisation and commercial insight to support data-driven marketing decisions.

The Company
They are an established organisation with a strong focus on using customer data to improve decision-making. Their analytics function works closely with stakeholders to understand campaign performance and optimise customer targeting. You will join a collaborative environment where your insights can directly influence marketing activity and customer communications.

The Role

• Develop customer selections for marketing, research and service communications.
• Use SQL to extract and analyse customer data for campaign targeting.
• Build and enhance self-service dashboards to evaluate campaign performance and ROI.
• Deliver actionable insights from test and learn activity.
• Work with stakeholders to translate business requirements into analytical solutions.
• Develop quality assurance processes to ensure accurate and compliant outputs.
• Present complex analysis clearly to technical and non-technical stakeholders.

Your Skills & Experience

• Strong commercial SQL experience.
• Experience with data visualisation, ideally Power BI or a similar platform.
• Experience delivering customer, campaign or marketing analytics.
• Strong stakeholder management and communication skills.
• Ability to translate data into insights that support strategic decisions.
• Experience within a compliance-led environment would be beneficial.
• Degree-level education or equivalent.

What They Offer

• Competitive salary.
• Opportunity to work across customer selections, campaign analytics and data visualisation.
• Exposure to a broad range of stakeholders and commercially focused projects.
• Scope to develop your technical and consultative analytics capabilities.

How to Apply
Apply via LinkedIn or contact me directly!

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Data Analyst, Digital Commerce
Up to £40,000
Hybrid – London (x3 days a week)

The Team

• Sits within the Business Planning and Analytics, Digital Commerce Team
• Work across EMEA and 74 different markets
• Supporting delivering insights, reporting and advanced analytics to drive business decision and support optimizing the digital customer journey, customer services, and performance marketing
• Look at everything from when a customer lands on the website to the end of the process
• Big emphasis from the team on data storytelling – not just churning out reports, self-serve analytics
• Have self-serve reporting suite – more ad-hoc analysis

Role and Responsibilities

• Analyse digital and e-commerce data across EMEA markets.
• Use SQL, Adobe Analytics and web analytics to understand customer behaviour.
• Analyse customer journeys and on-site activity to identify opportunities.
• Support performance marketing and attribution analysis.
• Build and maintain dashboards and reporting across the Digital team.
• Translate data into clear insights and recommendations for stakeholders.
• Partner with the Customer Journey team on A/B testing and experimentation.
• Support web analytics QA, including tagging and tracking validation.
• Bring together data from different sources, including marketing, customer and inventory data.
• Help develop the reporting environment as the team moves towards Databricks and Power BI.

Profile

• Need strong SQL and Google Analytics or Adobe Analytics
• Power BI ideally
• Retail background – or need to be from an environment really strong with customer journeys and think about how a customer behaves
• Ideally 2+ years of experience

Interview Process

• 1^st stage – Competency and Behavioral Interview
• 2^nd stage – In-person task interview
• 3^rd stage – Potential Sign-off chat

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