data & AI
Diversity Report

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Customer Selections & Analytics Consultant

This is an opportunity to join an established analytics function where you will support customer marketing and communications through data-driven targeting and campaign analysis. The role combines SQL development, customer selections, stakeholder engagement, and insight generation.

The Company
They are a customer-focused organisation investing in data and analytics to improve decision-making and customer engagement. You will join a team responsible for delivering customer selections, campaign evaluation, and reporting that supports business objectives across multiple functions.

The Role

• Build and deliver customer selections using SQL.
• Support marketing, research, and customer communication campaigns.
• Analyse campaign performance and provide recommendations.
• Develop and maintain dashboards in Power BI or a similar visualisation tool.
• Work across multiple datasets to source, analyse, and deliver customer data.
• Partner with stakeholders to understand requirements and deliver data solutions.
• Present insights and findings to technical and non-technical audiences.
• Ensure data quality, accuracy, and compliance across all outputs.

Your Skills & Experience

• Strong SQL experience.
• Experience creating customer selections and audience targeting.
• Experience with Power BI or similar reporting and visualisation tools.
• Ability to analyse data and provide actionable insight.
• Experience working with stakeholders across different business areas.
• Strong communication skills with the ability to explain technical concepts clearly.
• Experience working with customer, marketing, or campaign data.
• Exposure to a regulated or compliance-led environment is beneficial.

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Director of Data Research

This is an opportunity to lead a data research function at a business that helps investment professionals make data-driven decisions. You will combine strategic leadership with hands-on technical expertise, evaluating new data assets, shaping research initiatives, and building scalable capabilities that influence commercial outcomes.

The Company
They are an innovative data and analytics business providing insights to investment professionals through proprietary research and alternative data. Operating in a high-growth environment, they continuously explore new datasets and methodologies to enhance the quality and value of their products. Their collaborative culture brings together research, data, and technology teams to solve complex business challenges.

The Role

• Lead the data research function and define the strategy for identifying and evaluating new data sources.
• Assess the quality, reliability, and commercial value of datasets to determine whether they are worth purchasing and integrating into products.
• Design and oversee statistical analysis, modelling, and time series research to validate potential data assets.
• Work closely with stakeholders across data, partnerships, and technology teams to develop new research opportunities.
• Drive end-to-end research projects, from hypothesis generation through to evidence-based recommendations.
• Improve data evaluation frameworks, standards, and processes.
• Manage and mentor a small team while fostering technical excellence and continuous improvement.
• Support the adoption of AI and advanced analytical techniques to improve research efficiency and quality.

Your Skills & Experience

• Strong commercial experience in data science, statistics, quantitative research, or a related field.
• Python skills, with experience applying statistical analysis and time series techniques to complex datasets.
• Strong understanding of data quality assessment, feature engineering, and modelling.
• Strong communication skills with the ability to explain technical findings to both technical and non-technical stakeholders.
• Experience evaluating new datasets and translating findings into commercial recommendations.
• Ability to lead research projects from concept through to delivery.
• Experience working with alternative data, financial data, market intelligence, or data products is advantageous.

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This is an opportunity to join a digital consultancy at the intersection of marketing, data, and technology. You’ll build innovative products, automation solutions, and AI-driven tools that support both internal teams and enterprise clients. If you enjoy solving complex business challenges with modern engineering practices, this role offers plenty of scope for ownership and impact.

The Company
They are a well-established digital and marketing consultancy working with a diverse portfolio of clients across multiple sectors. Combining expertise in technology, data, and digital marketing, they help organisations improve performance through innovative solutions. Their teams operate globally and collaborate across a range of disciplines including analytics, SEO, paid media, content, and technology.

The Role
You will play a key role in designing, developing, and maintaining proprietary MarTech products, automation solutions, and AI-powered tools.Responsibilities include:

* Building scalable applications and integrations using JavaScript, TypeScript, and Node.js
* Developing cloud-native and serverless solutions, with a focus on Google Cloud Platform (GCP)
* Creating API integrations and automated data pipelines
* Supporting the development of AI and agent-based solutions using modern frameworks
* Collaborating with digital marketing teams across SEO, Paid Media, and Analytics to solve business challenges
* Maintaining and enhancing existing internal and client-facing products
* Troubleshooting technical issues and improving platform performance
* Contributing to innovation, best practices, and technical strategy across the engineering function

Your Skills & Experience
* Strong commercial experience with JavaScript, TypeScript, and Node.js
* Experience developing and deploying cloud solutions, ideally within GCP
* Familiarity with serverless architectures and API development
* Experience working with AI tools, LLM applications, or agentic frameworks such as LangChain or CrewAI
* Knowledge of front-end technologies such as React
* Experience working within a digital agency, marketing technology, or consulting environment
* Understanding of digital marketing channels including SEO, Paid Media, Content, or Analytics
* Ability to communicate technical concepts to both technical and non-technical stakeholders

Desirable:
* Experience with BigQuery or other cloud-based data warehouse technologies
* Knowledge of ETL/ELT processes and data engineering concepts
* Experience building dashboards or data visualisation solutions

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This is an opportunity to lead a Data Services function covering Business Intelligence, Data Science, Digital Analytics, and Marketing Technology. You will shape strategy, develop teams, and drive the adoption of AI across data services.

The Company
They are a global organisation operating across data, analytics, technology, and digital marketing. Their teams help clients improve decision-making through measurement, reporting, analytics, and data-driven solutions. As the business continues to grow, they are investing further in their data capability and leadership team.

The Role

• Define the strategy and roadmap for the Data Services function.
• Lead teams across Business Intelligence, Data Science, Digital Analytics, and Marketing Technology.
• Drive the use of AI within data services workflows and delivery.
• Establish standards and best practices across analytics, reporting, and measurement.
• Support revenue growth through client development and new business opportunities.
• Partner with senior stakeholders to align data initiatives with business goals.
• Develop and mentor practice leads and senior specialists.
• Present data strategies and recommendations to senior client stakeholders.
• Contribute to the organisation’s presence within the data and analytics market.

Your Skills & Experience

• Leadership experience across multiple data disciplines.
• Strong understanding of analytics, measurement, BI, and data services.
• Ability to lead technical teams and support delivery quality.
• Experience implementing AI-enabled processes or transformation programmes.
• Commercial awareness and experience supporting business growth.
• Strong communication and stakeholder management skills.
• Ability to build and develop high-performing teams.

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The Opportunity

A global subscription-led business is seeking a Senior Analyst to join its Analytics & Insights team.

This role focuses on understanding subscriber/customer behaviour and performance across multiple international markets. You’ll work with stakeholders across commercial, marketing and product teams to provide insights that support customer acquisition, retention and engagement strategies.

The successful candidate will be comfortable working with large datasets, designing analytical approaches to answer business questions, and presenting findings in a clear and actionable way.

Key Responsibilities

• Analyse subscriber growth, retention and engagement trends, providing recommendations to support business objectives.
• Translate complex data into clear insights for a range of stakeholders.
• Design and evaluate experiments using robust statistical methodologies.
• Develop and maintain dashboards, reports and visualisations to monitor performance.
• Support the adoption of self-service analytics and data-informed decision making.
• Identify opportunities to improve reporting processes and analytical workflows.
• Build strong relationships with stakeholders across different functions and markets.
• Manage and prioritise analytical requests, ensuring timely delivery of insights.

Skills & Experience

• Previous experience in an analytics, insights or business intelligence role.
• Strong stakeholder management and communication skills, with the ability to influence decision making through data.
• Advanced SQL skills and experience working with large, complex datasets.
• Experience using visualisation tools such as Tableau, Power BI or Looker.
• Strong understanding of statistical techniques, including hypothesis testing, regression analysis and experimentation.
• Experience using Python, R or another statistical programming language.
• Ability to work independently and manage multiple priorities.
• Experience using AI tools to improve analytical workflows would be beneficial.

Benefits

• 25 days annual leave
• Private medical insurance

Apply

If you’re looking for a role where you can use data to help shape commercial decisions and customer strategy within a large-scale subscription business, we’d be keen to hear from you.

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Marketing Automation Engineer

You will be responsible for building and enhancing the systems, automations, and data flows that support customer acquisition, conversion, and retention.

Key responsibilities include:

• Build and optimise automated customer journeys across email and digital marketing channels.
• Analyse customer and behavioural data to identify cohorts, opportunities, and areas for improvement.
• Develop customer re-engagement journeys based on website and purchase behaviour.
• Use SQL and BigQuery to interrogate and transform marketing and customer data.
• Design and maintain integrations between CRM, marketing, advertising, and business systems.
• Build and optimise conversion tracking and attribution frameworks.
• Develop marketing data feeds for advertising and remarketing platforms.
• Translate marketing requirements into scalable technical solutions and automations.
• Ensure data consistency and integrity across multiple customer touchpoints.
• Partner with marketing, data, and engineering teams to measure performance and optimise outcomes.
• Support experimentation and CRO initiatives through data, automation, and implementation.

Your Skills & Experience

• Strong commercial experience with JavaScript and Node.js.
• Advanced SQL skills, ideally including BigQuery.
• Experience working with Salesforce or similar CRM platforms.
• Strong understanding of customer data, segmentation, and behavioural analysis.
• Experience building automated customer journeys and lifecycle marketing programmes.
• Knowledge of marketing automation platforms and CRM workflows.
• Experience with API integrations and connecting multiple business systems.
• Understanding of conversion tracking, attribution, and performance measurement.
• Familiarity with remarketing and digital advertising ecosystems.
• Strong stakeholder management skills with the ability to translate business requirements into technical solutions.

Desirable experience includes:

• SendGrid, Klaviyo, or similar marketing platforms.
• AWS services, including serverless technologies.
• Event-driven architectures and workflow automation.
• Affiliate marketing platforms.
• Email deliverability optimisation.
• Attribution modelling or incrementality testing.
• Experience within regulated consumer-facing environments.

What They Offer

• High-impact role with direct exposure to senior leadership.
• Opportunity to shape marketing technology and customer engagement strategy.
• Exposure to advanced experimentation, CRO, AI-enabled workflows, and customer data initiatives.
• Collaborative culture with strong cross-functional partnership.
• Clear opportunity to influence business performance and drive measurable commercial outcomes.

How to Apply
If you’re a Marketing / MarTech Engineer, Growth Engineer, CRM Engineer, or Marketing Automation specialist who enjoys combining technical expertise with commercial impact, apply today to learn more about this opportunity.

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Campaign Analyst
£45,000-£50,000 + Bonus
Remote-first in the UK (Hybrid – 1x Day a Week in Office)

If you’re a SQL-heavy analyst tired of insight going nowhere, this is where your work actually turns into live customer campaigns! Brand-new role, strong team, and a business investing heavily in customer data + marketing capability.

The Company

You’ll be joining a leading UK insurer with a strong reputation for customer experience and long-term stability; they’re in the middle of a major data transformation, with new platforms, better access to customer data, and a real push towards data-led decision making across the business.

The Role

Sitting in the Customer Selections & Analytics team, you’ll own the delivery of campaign selections end-to-end. This is a hands-on SQL role with clear commercial impact.

Key responsibilities:

• Build and deliver campaign selections using SQL
• Translate marketing briefs into technical requirements
• Work across CRM, transactional & engagement datasets
• Support test & learn campaigns and performance tracking
• Push selections into CRM (moving to Dotdigital)
• Plan and manage campaign cycles 1-2 months ahead

You’ll work across Financial Services, Personal Lines & Commercial, giving you broad exposure across the business.

Your Skills & Experience

• Strong SQL
• Background in campaign selections / CRM / customer analytics
• Experience working with large datasets
• Ability to translate business needs into data outputs

The Benefits

• £45,000-£50,000
• Bonus

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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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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