data & AI
Diversity Report
DIVERSITY GUIDES 2022
An in-depth look into diversity within Data & AI, we have been carrying out primary research for a number of years to create annual diversity guides.
Download our previous editions, which have given us unrivalled insight into where the industry currently stands in its push for a more representative workforce.
They are here to highlight where the industry can improve, how it can improve and to help make those improvements.
USA DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
EU DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
UK DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
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Head of Data Engineering
Amsterdam
€100000 - €130000
+ Data Engineering
PermanentAmsterdam, North Holland
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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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Marketing Analyst
London
£45000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Marketing Analyst | London | Up to £60,000 + benefits
An exciting opportunity to join a leading marketing and analytics agency, working with major clients to turn data into meaningful insights and drive better business decisions.
The Role:
-
Analyse marketing campaign performance and customer behaviour
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Develop reports, dashboards and actionable insights
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Work with a range of analytics tools to support client projects
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Collaborate with internal teams and stakeholders to improve marketing effectiveness
About You:
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Experience in data or marketing analytics
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Knowledge of SQL and/or Python
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Familiarity with analytics tools and data visualisation
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Strong analytical skills and a curious, proactive approach
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Agency experience is beneficial
Location: London – hybrid working, 3 days in the office and 2 from home.
Interested in hearing more? Get in touch for further details!

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Director of Quant Operations
London
£90000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Director of Quantitative Operations
£100,000 + bonus and competitive benefits | London – x2 days a week in London
An exciting opportunity for an experienced Quantitative Research Operations professional to take the next step in their career with a leading healthcare market research and insights business.
This is a high-profile leadership position, offering the opportunity to lead a sizeable team, oversee a significant project portfolio and play a key role in the ongoing growth and development of the business.
The Role
Reporting to the Managing Director, you will take overall responsibility for the Quantitative Operations function, leading a team of research operations and project management professionals.
Key responsibilities include:
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Leading, developing and motivating the team to deliver operational excellence.
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Overseeing project delivery, resource planning, utilisation and quality standards.
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Driving process improvements and efficiencies across the function.
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Building strong client relationships and supporting the delivery of exceptional client service.
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Working closely with senior stakeholders across the business to support commercial performance and future growth.
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Contributing to departmental strategy, team development and long-term business planning.
About You
You will have a strong background in quantitative research operations, ideally within healthcare, pharmaceutical or market research environments.
You will be an effective people leader with excellent organisational and client management skills, strong commercial awareness and the ability to balance strategic thinking with operational delivery.
Applications are welcomed from established leaders and ambitious professionals looking to step into their first Director-level position, provided they can demonstrate the potential to lead and develop a growing function.
Salary & Benefits
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Up to £100,000
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Performance-related bonus.
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Comprehensive benefits package, including private healthcare, pension and additional wellbeing benefits.
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Generous annual leave allowance.
Find out more and apply via the link below!

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Associate Director of Qualitative Research
Manchester
£60000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentManchester, Greater Manchester
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Associate Director, Qualitative Research
Up to £65,000 + 11.5% Annual Bonus (Paid Quarterly)
London (Southwark) – 2 days per month if outside M25
I’m hiring an Associate Director, Qualitative Research for a global healthcare research business with an outstanding reputation across pharmaceuticals, healthcare, biotech, and life sciences.
This is a brilliant opportunity for an experienced research operations leader who enjoys managing people, delivering high-quality client work, and helping research teams perform at their best. The role sits within a large, established qualitative research function and combines leadership, client management, and operational delivery.
The company
Part of a globally recognised healthcare group, this business supports many of the world’s leading pharmaceutical, biotech, healthcare, and life sciences organisations with research, recruitment, data collection, and engagement services.
They combine the feel of a specialist healthcare research consultancy with the backing, reach, and stability of a global organisation operating across more than 200 markets worldwide.
The role
This is a senior leadership role within the Qualitative Research division.
You’ll report into the Head of Qualitative Research and lead a team of Project Management professionals responsible for delivering complex healthcare research programmes.
Importantly, this is not a research design or insights role.
Instead, the focus is on:
- Team leadership
- Project delivery
- Operational performance
- Client relationship management
- Commercial delivery
- Process improvement
You’ll act as the senior escalation point for both clients and project teams, ensuring projects are delivered on time, within budget, and to a consistently high standard.
What you’ll be doing
Team Leadership
- Lead, mentor, and develop a team of 4-5 Project Managers.
- Manage resource allocation, utilisation, and team performance.
- Support career development, coaching, and succession planning.
- Help build a high-performing, collaborative culture.
Client & Commercial Management
- Build and maintain strong relationships with healthcare research clients.
- Act as a senior escalation point on complex projects.
- Ensure client expectations are met and exceeded.
- Support profitability, project performance, and account growth.
Operational Delivery
- Oversee qualitative healthcare research projects from an operational perspective.
- Ensure projects are delivered on time and within budget.
- Monitor team KPIs and operational performance.
- Improve delivery processes and ways of working.
Strategic Contribution
- Partner with senior leadership on operational improvements.
- Help shape the future growth of the qualitative function.
- Contribute to continuous improvement initiatives across the wider business.
What they’re looking for
Essential
- 5+ years’ experience within the market research industry.
- Strong project management and operational delivery experience.
- Previous people management experience.
- Experience managing client relationships and stakeholders.
- Strong communication and stakeholder management skills.
- Ability to manage workloads, KPIs, budgets, and delivery.
- Experience operating in fast-paced, project-led environments.
Strongly Preferred
- Healthcare market research experience.
- Experience leading project management or operations teams.
- Exposure to pharmaceutical, healthcare, biotech, life sciences, or patient research projects.
Typical backgrounds
- Associate Director
- Project Director
- Senior Project Director
- Client Services Manager
- Research Operations Manager
- Operations Director (Research)
- Healthcare Research Programme Manager
Why this role?
- Lead an established team within a highly respected healthcare research business.
- Manage and develop a team of experienced project professionals.
- Work with some of the world’s leading healthcare and pharmaceutical organisations.
- Strong balance of leadership, operational delivery, and client engagement.
- Backed by a global organisation with excellent stability and growth.
- Flexible working approach for candidates outside London.
Location & Flexibility
London (Southwark)
- Standard expectation: 2 days per week in the office if inside the M25
- For candidates based in the Midlands or North, the business can offer a more flexible arrangement of approximately 2 days per month in London.
Package
- Up to £65k
- 11.5% annual bonus (paid quarterly)
- Hybrid/flexible working
- Strong career progression
- Healthcare and wellbeing benefits
- Global business with excellent long-term opportunities
Interview Process
Stage 1: Teams interview with senior leadership
Focus on:
- Leadership experience
- Team management
- Client ownership
- Operational delivery
- Career motivations
Final Stage: In-person presentation exercise assessing:
- Communication skills
- Stakeholder management
- Commercial thinking
- Executive presence
- Client-facing capability
This role would suit someone who enjoys leading people, improving operations, and building strong client relationships while remaining close to project delivery in a healthcare research environment.

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Ecommerce GEO & AI Search Optimisation Consultant
London
£275 - £300
+ Digital Analytics
ContractLondon
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Ecommerce GEO & AI Search Optimisation Consultant
Agency – FMCG Client
£275-£300 per day – Outside IR35
London – 2 days per week in office
This is an opportunity to join a high-profile ecommerce transformation project focused on the rapidly growing area of AI search visibility. Working with a major consumer brand portfolio, you will help shape how products are discovered and recommended across AI-powered search experiences, delivering measurable impact within digital commerce.
The Company
They are a specialist marketing and digital agency partnering with a globally recognised consumer brand portfolio. With a strong focus on innovation, they are investing in emerging ecommerce channels and AI-driven product discovery. This contract role has been created to support a business-critical programme focused on AI search optimisation and ecommerce performance.
The Role and Deliverables
- Use insights from Azoma and related AI search visibility platforms to analyse product performance across AI-powered discovery channels.
- Interpret ecommerce, search and visibility data to identify opportunities for product listing and content optimisation.
- Develop clear, evidence-based recommendations to improve Product Listing Pages (PLPs) and Product Detail Pages (PDPs).
- Monitor AI search performance across platforms, including AI assistants and ecommerce-native AI recommendation engines.
- Translate data findings into actionable content and technical optimisation recommendations for internal stakeholders.
- Support ongoing testing, measurement and performance reporting to evaluate the impact of optimisation activities.
Your Skills & Experience
- Strong experience using Azoma or similar AI search visibility, GEO, SEO or digital commerce optimisation platforms.
- Ability to analyse performance data, identify trends and turn insights into practical recommendations.
- Understanding of Generative Engine Optimisation (GEO) and the evolving role of AI within ecommerce product discovery.
- Experience optimising PLPs, PDPs or ecommerce content to improve visibility and conversion performance.
- Comfortable working with stakeholders to explain findings and influence optimisation decisions.
- Knowledge of how AI-driven search and recommendation technologies impact product ranking and discoverability.
- A blend of analytical thinking and commercial awareness, with the ability to prioritise recommendations based on business impact.
How to Apply
If you have experience with Azoma, ecommerce optimisation, GEO or AI-driven search visibility and would like to be part of a pioneering ecommerce project, please apply with your latest CV.
Azoma / Ecommerce Analytics / GEO / Generative Engine Optimisation / AI Search Optimisation / Product Detail Pages (PDP) / Product Listing Pages (PLP) / Ecommerce SEO / Digital Commerce / AI Product Discovery

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PHP Developer
Birmingham
£45000 - £50000
+ Data Engineering
PermanentBirmingham, West Midlands
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PHP Developer
Birmingham (Hybrid, 2 days per week) | Up to £50,000
Looking to work on a major platform transformation using modern PHP technologies? This is an opportunity to join a growing development team building and enhancing business-critical internal applications within a collaborative engineering environment.
The Company
An established financial services business investing heavily in its technology estate. They are replacing third-party software with scalable in-house platforms and are growing their engineering capabilities across development, data and QA.
The Role
You will:
- Develop and enhance applications using PHP and Laravel
- Contribute to a greenfield internal platform
- Build and integrate APIs
- Work closely with SQL Developers and QA Engineers
- Write clean, secure and maintainable code
- Participate in testing, code reviews and releases
Your Skills & Experience
- Strong commercial PHP and Laravel experience
- JavaScript knowledge
- API integration experience
- Experience with relational databases
- Understanding of testing and software quality practices
- Strong debugging and problem-solving skills
Nice to have:
- Vue.js or Inertia.js
- CI/CD or DevOps exposure
- Docker experience
What They Offer
- Up to £55,000 salary
- Hybrid working, 2 days in Birmingham
- Greenfield development projects
- Modern technology stack
- Strong collaboration and learning opportunities
How to Apply
Apply now to find out more about this PHP Developer opportunity.

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Data Scientist
London
£500 - £560
+ Data Science & AI
ContractLondon
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Contract Data Scientist
London | Outside IR35 £500-560 per day| 2-months
This is an opportunity to join a specialist analytics consultancy on a high-impact insurance analytics project. You’ll play a key role in developing predictive models and customer segmentation frameworks that directly support commercial decision-making, working with rich first-party customer and transactional data from day one.
The Company
They are a specialist analytics consultancy that delivers advanced data science and predictive modelling solutions for enterprise clients. Their technology is deployed within client environments, helping organisations understand customer behaviour, forecast future outcomes, and identify opportunities for growth. They combine data science, analytics, and commercial insight to solve complex business challenges across customer-focused industries.
The Role and Deliverables
- Build customer segmentation and clustering models to identify meaningful customer groups.
- Develop propensity models and predictive analytics solutions to support business decision-making.
- Forecast customer behaviour and future customer value using advanced modelling techniques.
- Analyse motor and home insurance customer journeys, quote behaviour, and conversion patterns.
- Design a core segmentation framework with multiple supporting sub-segmentations.
- Package and document models for deployment and handover to engineering teams.
Your Skills & Experience
- Strong experience delivering customer segmentation and clustering projects using unsupervised learning techniques.
- Demonstrated capability in propensity modelling, predictive modelling, and forecasting.
- Strong Python and SQL skills for data preparation, analysis, and model development.
- Experience working within Databricks and/or Microsoft Fabric environments.
- Comfortable developing solutions in notebook-based analytics environments.
- Experience within insurance, customer analytics, pricing analytics, retention, acquisition, churn modelling, customer lifetime value, or quote conversion analysis.
- Ability to work autonomously and quickly contribute within a fast-paced contract engagement.
How to Apply
If you have strong experience in customer analytics, predictive modelling, and insurance data science, apply today to discuss this contract opportunity in more detail.

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Data Engineer – Healthcare & Preference for a Dutch Speaker
Eindhoven
€55000 - €60000
+ Data Engineering
PermanentEindhoven, North Brabant
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Data Engineer
Eindhoven, The Netherlands
Salary: 5k a month + holiday
If you’re looking for a role where you can shape an entire data function from the ground up, this is a rare opportunity to make a lasting impact. Joining a fast-growing SaaS business operating in the healthcare space, you’ll be the first dedicated Data Engineer, owning the design, build, and evolution of the company’s data platform in a truly greenfield environment.
The Company
They are a scaling SaaS organisation with a strong product offering and growing international customer base. With data becoming increasingly central to business decision-making and product development, they are investing in building modern data capabilities from scratch. This is an opportunity to influence architecture, technology choices, and best practices from day one. You’ll work closely with stakeholders across the business while helping establish the foundations for a future data team.
The Role
You will take ownership of the company’s data engineering capability, designing and delivering a scalable data platform that supports analytics, reporting, and future data initiatives.
Responsibilities include:
- Designing and building a modern cloud-based data platform from the ground up
- Developing robust ETL and ELT pipelines to ingest, transform, and manage data from multiple SaaS applications and operational systems
- Establishing data modelling standards and scalable data architecture
- Owning data quality, reliability, governance, and monitoring processes
- Partnering with product, engineering, finance, and commercial teams to understand business requirements
- Creating the foundations for self-service analytics and reporting
- Evaluating and selecting appropriate tools, technologies, and frameworks
- Supporting the longer-term growth and maturity of the company’s data function
Your Skills & Experience
- Strong commercial experience as a Data Engineer within a modern cloud environment
- Expertise building data pipelines and data platforms from scratch
- Advanced SQL skills and strong data modelling capabilities
- Experience with cloud platforms such as AWS, Azure, or GCP
- Hands-on experience with modern data stack technologies, including tools such as Snowflake, Databricks, BigQuery, Redshift, dbt, or equivalent
- Strong Python or similar programming skills
- Experience working with SaaS product data and multiple third-party integrations
- Ability to operate independently and take ownership in a standalone Data Engineering role
- Strong stakeholder management and communication skills
- Passion for building scalable, maintainable, and well-documented data solutions
What They Offer
- Salary of €55,000 – 60,000 depending on experience
- Meaningful equity or share incentive opportunity
- Hybrid working model based in Amsterdam
- Comprehensive benefits package
- Significant autonomy and ownership from day one
- Opportunity to define data strategy, architecture, and best practices
- Clear progression path into a future Lead Data Engineer or Head of Data position as the function grows
- Exposure to senior leadership and direct influence on business decisions
How to Apply
If you’re a Senior Data Engineer who enjoys building data platforms from scratch and wants to play a pivotal role in a growing SaaS business, apply today to find out more.

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