data & AI
Diversity Report

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Senior Digital Analyst
Watford – hybrid 3x a week

This is an exciting opportunity to join a business investing heavily in digital growth, analytics innovation, and customer experience transformation. You’ll work on high-profile digital products, influence commercial decision-making, and help shape how digital performance is measured across a large-scale consumer environment.

The Company
They are a well-established consumer-focused organisation undergoing significant digital transformation. Digital channels have been identified as a key strategic growth area, with substantial investment in customer journeys, product innovation, payments, and analytics capabilities.

Operating within a collaborative and fast-paced environment, the business combines the resources of a large organisation with the agility of a modern digital team. Analytics plays a central role in driving commercial outcomes, customer experience improvements, and strategic decision-making.

The Role
As a Senior Digital Analyst, you will partner with stakeholders across Digital, Product, Marketing, Acquisition, and Data teams to deliver insight and performance measurement across key customer journeys.

Responsibilities include:

• Delivering analysis and insight on digital customer journeys to identify opportunities for growth and optimisation
• Building and enhancing dashboards and self-service reporting solutions
• Translating complex data into clear, actionable commercial recommendations
• Measuring the impact of digital initiatives, products, and customer experiences
• Supporting experimentation and CRO programmes through analysis and performance evaluation
• Developing measurement frameworks that connect customer behaviour with commercial and financial outcomes
• Working closely with technical and development teams to ensure accurate and effective data collection
• Driving reporting improvements and promoting data democratisation across the organisation
• Exploring AI and automation tools to improve analytical efficiency and workflows
• Contributing to a project-led analytics environment focused on business impact rather than routine reporting

Your Skills & Experience
You will ideally bring:

• Strong experience in Digital Analytics within a commercial environment
• Advanced SQL skills, including complex querying and working with large datasets
• Experience analysing web and app customer behaviour and connecting insights to business outcomes
• A background delivering both ad hoc analysis and automated reporting solutions
• Experience building dashboards and presenting insight to senior stakeholders
• Knowledge of CRO, experimentation, and customer journey optimisation
• Familiarity with web analytics platforms such as Adobe Analytics, Google Analytics, Piano Analytics, or similar
• Experience working with cloud data platforms such as Snowflake or equivalent
• Exposure to Python or R would be advantageous
• Understanding of tagging and digital measurement frameworks, without requiring hands-on implementation expertise
• Interest in leveraging AI tools and automation to enhance analytics workflows

What They Offer

• Exposure to large-scale digital products and high-impact transformation programmes
• Opportunity to work closely with Product, Commercial, Marketing, and Data leadership teams
• Clear opportunity to influence analytics strategy and digital performance measurement

How to Apply
To find out more about this Senior Digital Analyst opportunity or discuss your suitability, please apply with your CV today.

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SENIOR/STAFF/PRINCIPAL PRODUCT ENGINEER – FULL STACK

SAN FRANCISCO, CA (ONSITE – 5 DAYS/WEEK)

$175,000 – $300,000 + EQUITY + BENEFITS

The Opportunity

We’re partnering with a high-growth, AI native technology company to hire a Staff/Principal Product Engineer with strong TypeScript, Node.js, and full-stack engineering experience to help build and scale an innovative AI-powered platform.

The company is transforming their industry by automating manual workflows for their enterprise clients. This is a hands-on senior IC opportunity with significant ownership over product development, technical execution, and customer experience.

The Engineering Environment

• Full-stack application development leveraging TypeScript and Node.js
• Building intelligent AI solutions to streamline complex business processes
• Developing scalable platforms and intuitive user-facing products
• Working with large datasets, document processing, and enterprise integrations
• Collaborative startup setting with a small, highly experienced engineering team

What You’ll Be Working On

• Engineer new features across the frontend and backend of the platform
• Create and improve AI-driven tools that automate manual workflows
• Lead feature development from initial design through production launch
• Partner with customers to identify challenges and deliver product enhancements
• Improve system efficiency, reliability, and overall application performance

What We’re Looking For

• 6+ years of hands-on software engineering experience
• Strong TypeScript skills with practical Node.js experience
• Track record of delivering successful, customer-facing software products
• Experience launching products or features from the ground up in 0-to-1 environments
• Excellent communication skills and ability to excel in fast-moving startup teams

Why This Role

• Join an emerging AI company experiencing significant enterprise adoption
• Build technology that modernizes and improves a large, established industry
• Influence product strategy and have meaningful technical ownership
• Collaborate closely with founders and senior engineering leaders
• Competitive salary, equity participation, and comprehensive benefits

This is an opportunity for a product-minded engineer who enjoys building from the ground up, taking ownership, and solving real customer problems through technology.

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SENIOR DATA ENGINEER

£85,000 + BONUS + BENEFITS

LONDON (HYBRID)

Our client is looking for someone to help build a modern cloud data platform that supports their extensive growth plans.

THE COMPANY

A business going through an exciting period of growth, the business uses data and technology to optimise pharmaceutical sourcing and supply chains.

THE ROLE

• Build and enhance scalable data pipelines using Snowflake, dbt, Airflow and Python.
• Improve platform reliability, testing, monitoring and CI/CD processes.
• Partner with Analytics, Data Science and Engineering teams to deliver data solutions.
• Engage with stakeholders to understand requirements and drive business value.

YOUR SKILLS AND EXPERIENCE

• 4+ years’ experience in Data Engineering with Strong SQL and Python skills
• Experience with Snowflake, dbt and Airflow (or similar tools)
• Exposure to CI/CD, automated testing and cloud data platforms
• Strong communication and stakeholder management skills
• Databricks/PySpark experience would be advantageous

SALARY AND BENEFITS

• £85K base salary
• Annual bonus
• Pension Contribution
• Private healthcare
• Additional employee benefits

HOW TO APPLY

Please register your interest by sending your CV to Ross McEwan through the Apply link.

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They are a research and analytics consultancy that delivers insight to organisations across the public, private, and not-for-profit sectors. Their work combines research, analytics, and technology to help clients understand people, markets, and communities. The business is continuing to grow and is investing in senior talent to support both client delivery and commercial development.
The Role
You will:

• Lead strategic client relationships and act as a senior point of contact
• Manage and grow existing accounts by identifying new opportunities
• Prepare proposals and responses to research briefs and RFPs
• Oversee the delivery of quantitative and qualitative research projects
• Review analysis, reports, and presentations before client delivery
• Ensure projects are delivered to agreed quality, budget, and timeline requirements
• Support project teams by managing risks and resolving delivery challenges
• Coach and develop Research Managers and consultants
• Work with internal teams to improve processes and the use of technology and AI tools

Your Skills & Experience

• Strong experience leading research, insight, or analytics projects
• Quantitative research expertise with experience overseeing full project lifecycles
• Ability to translate data into clear recommendations for stakeholders
• Experience managing client relationships and growing accounts
• Track record of developing proposals and responding to complex briefs or RFPs
• Strong project management and organisational skills
• Experience managing and developing researchers or consultants
• Commercial awareness and an understanding of project profitability
• Excellent communication and presentation skills
• Interest in improving ways of working through technology and AI

How to Apply
If you are interested in this Associate Director opportunity and have experience in research, insight, or analytics consulting, please apply to find out more.

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Senior Product Engineer
London (Hybrid, 3 days)

Join a well-funded AI startup building a behavioural intelligence platform for financial services. As an early engineering hire, you’ll play a key role in shaping the product, architecture, and engineering culture while working closely with founders and senior leadership.

The Company
They are developing an AI-powered platform that helps organisations better understand customer behaviour and decision-making. With strong early customer traction and enterprise PoCs underway, they are now scaling their product and engineering capability.
The Role

• Build and scale LLM-enabled product features from concept to production
• Design APIs, backend systems, and AI-powered workflows
• Improve model quality through evaluation, monitoring, and guardrails
• Optimise token usage, performance, and cost efficiency
• Collaborate on product strategy, roadmap, and architecture
• Help establish engineering best practices as the team grows

Your Skills & Experience

• Strong product engineering background
• Experience building and launching an LLM-powered product
• Backend expertise, ideally with Node.js and TypeScript
• Experience with APIs, cloud infrastructure, and scalable systems
• Comfortable operating with autonomy in an early-stage environment
• Strong communication and stakeholder management skills

What They Offer

• £115,000 to £140,000 base salary
• Meaningful equity package
• Hybrid working in London
• Significant ownership and autonomy
• Opportunity to shape a product and engineering function from an early stage

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AI/ML Engineer

Amsterdam, Netherlands

78,000 + Benefits

This is an opportunity to join a growing AI and Data function where you’ll help move AI use cases from concept into production, delivering measurable business impact. You’ll work across the full solution lifecycle, combining software engineering, machine learning, data integration, and modern AI technologies to build products that solve real business challenges.

The Company

Our client is a well-established international organisation investing heavily in AI, data, and digital innovation. They are focused on building scalable AI-powered products that enhance customer experiences and improve operational efficiency. The business combines the stability of an established organisation with the agility and ambition of a modern technology-focused environment. AI is a strategic priority, offering the opportunity to work on impactful initiatives with strong visibility across the organisation.

The Role

As an AI/ML Engineer, you will design, develop, and deploy production-grade AI solutions that deliver tangible business value.

Responsibilities include:

• Building and scaling AI-powered applications and backend services using Python
• Developing AI assistants, agent workflows, and orchestration frameworks using modern LLM technologies
• Translating business requirements into reliable, secure, and production-ready AI solutions
• Integrating enterprise data sources into AI products and services
• Collaborating with data, engineering, and business stakeholders to deliver end-to-end solutions
• Creating reusable components, tools, and frameworks to accelerate future AI development
• Developing and maintaining automated testing and evaluation frameworks for AI applications
• Supporting containerised deployments, CI/CD pipelines, and operational best practices
• Monitoring solution performance and driving continuous improvement after deployment
• Ensuring solutions align with security, privacy, and responsible AI standards

Your Skills & Experience

• Strong commercial experience building production-grade applications in Python
• Expertise with FastAPI, Pydantic, and API-based architectures
• Experience developing LLM-powered applications using technologies such as OpenAI, LangChain, and LangGraph
• Strong understanding of prompt engineering, agent orchestration, tool calling, and structured outputs
• Experience working with Databricks, SQL, data pipelines, and enterprise data integration
• Knowledge of automated testing and quality assurance practices for AI applications
• Experience with Docker, Azure DevOps, CI/CD, and cloud-based environments
• Understanding of software engineering best practices, including maintainability, observability, and scalability
• Ability to work effectively with both technical and non-technical stakeholders
• A collaborative mindset and passion for delivering high-quality AI products

What They Offer

• €78,000 base salary depending on experience
• Annual bonus and comprehensive benefits package
• Hybrid working environment
• Exposure to cutting-edge AI and machine learning technologies
• Opportunity to work on high-impact, enterprise-scale AI initiatives
• Strong career progression within a growing AI and Data function
• Collaborative and innovative technology culture

How to Apply

If you’re an AI/ML Engineer looking to build and scale production AI solutions in a forward-thinking environment, apply today to learn more about this opportunity.

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Head of Data Engineering

Amsterdam, Netherlands (Hybrid) | €110,000 – €150,000 + Bonus + Benefits

This is a rare opportunity to take ownership of a business-critical data transformation programme at a leadership level. As Head of Data Engineering, you will lead the build-out of a modern data platform, shape engineering standards, and develop a high-performing team while working closely with senior stakeholders to deliver long-term business value.

The Company

They are a growing, data-driven organisation investing heavily in their data and AI capabilities. With a clear roadmap and strong executive sponsorship, they are modernising their data estate and building a scalable platform to support analytics, AI, and business decision-making.

The organisation is moving from strategy into execution and is seeking an experienced data engineering leader to define best practices, drive delivery, and build a team capable of supporting ambitious growth plans.

The Role

You will lead the Data Engineering function, combining people leadership, technical oversight, and strategic delivery.

Responsibilities include:

• Building, leading, and mentoring a team of Data Engineers, Analytics Engineers, and Platform Engineers
• Defining and executing the data engineering roadmap in partnership with senior leadership
• Driving delivery across platform development, data migrations, and modernisation initiatives
• Establishing engineering standards covering code quality, CI/CD, testing, documentation, and operational excellence
• Overseeing architecture decisions to ensure scalable, reliable, and secure data solutions
• Developing cloud-based data platforms that support analytics, reporting, and AI use case
• Managing stakeholder relationships across technology, product, analytics, and business teams
• Ensuring platform reliability through monitoring, incident management, and operational governance
• Supporting hiring, team development, and succession planning within the engineering function
• Championing best practices across Data Engineering, DataOps, and platform operations

Your Skills & Experience

• Strong commercial experience leading Data Engineering teams and delivering large-scale data platform programmes
• Expertise with modern cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google Cloud
• Strong understanding of data warehousing, data modelling, ETL/ELT pipelines, and orchestration tools
• Experience building and scaling engineering teams while maintaining high technical standards
• Ability to lead architectural discussions and make informed technical decisions
• Experience implementing CI/CD, automation, testing, and DataOps best practices
• Strong stakeholder management skills with the ability to translate business requirements into technical delivery plans
• Experience delivering complex transformation programmes, including migrations, consolidations, or greenfield platform builds
• Familiarity with governance, security, and compliance requirements within enterprise environments
• A hands-on leadership style with the ability to support technical teams when needed

What They Offer

• Salary between €110,000 and €150,000 depending on experience
• Performance-related bonus
• Comprehensive benefits package
• Flexible and hybrid working arrangements
• Opportunity to shape and scale an entire Data Engineering function
• Significant exposure to senior leadership and strategic decision-making
• Clear progression towards Director-level and broader Data & AI leadership responsibilities
• The chance to influence the organisation’s long-term data and AI strategy

How to Apply

If you’re an experienced Data Engineering leader looking to build teams, drive platform transformation, and make a lasting impact, apply today to discuss this opportunity in more detail.

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