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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Product Manager
London
£400 - £475
+ Advanced Analytics & Marketing Insights
ContractLondon
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Product Manager
London 2 days per week | Inside IR35
£400-475pd
This is an opportunity to join a high-impact data transformation programme at an early stage. You’ll play a key role in shaping how data services are defined, structured, and delivered across the organisation, helping establish a more centralised and scalable data capability.
The Company
They are a public sector focused organisation delivering services that support large-scale programmes and operational outcomes. As part of a growing data function, they are investing in how data is managed, governed, and leveraged across the business. The team is at the early stages of building a more product-led approach to data, creating an exciting environment where you can influence direction and delivery.
The Role and Deliverables
- Engage with stakeholders to understand existing data services and business requirements.
- Help define and shape a portfolio of data products and services.
- Bring together multiple existing data products into a cohesive service offering.
- Demonstrate the value and capabilities of data products to business stakeholders.
- Support the development of a more centralised data function and service model.
- Contribute to data architecture discussions and the longer-term data strategy.
Your Skills & Experience
- Strong experience working as a Product Manager within data-focused environments.
- Ability to engage and influence stakeholders across business and technical teams.
- Experience defining, developing, and managing data products or data services.
- Understanding of data architecture principles and data operating models.
- Experience working with retrofit, housing, property, sustainability, or similar datasets is highly desirable.
- Familiarity with public sector or regulated environments.

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Director of Inventory Planning & Optimization
Philadelphia
$140000 - $165000
+ Advanced Analytics & Marketing Insights
PermanentPhiladelphia, Pennsylvania
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Director of Inventory Planning & Optimization
$165,000 Base + Bonus
Hybrid | Cherry Hills NJ
Our client is a global B2B manufacturer with a complex international supply chain and thousands of active SKUs. As the business continues to invest in data-driven operations, they’re looking to hire a Director of Inventory Planning & Optimization to modernize inventory strategy, introduce scalable analytics, and build a best-in-class planning function.
This is a unique opportunity for someone who enjoys combining supply chain expertise with advanced analytics. You’ll inherit a small team with significant scope to expand, implement new processes, and influence executive decision-making across a global organization.
The Role
Reporting into the VP of Supply Chain, you’ll own inventory planning strategy across a large product portfolio while developing the analytical capabilities that drive forecasting, replenishment, and inventory optimization.
This role is ideal for someone who has led inventory planning within a complex manufacturing or distribution environment and is comfortable leveraging data to improve operational performance.
What You’ll Be Doing
- Develop and execute enterprise-wide inventory planning and optimization strategies
- Build scalable reporting and dashboards to improve inventory visibility and decision-making
- Use statistical analysis to improve forecasting accuracy and inventory health
- Partner with Supply Chain, Operations, Procurement, Finance, and Analytics teams to drive business decisions
- Lead inventory optimization initiatives across multiple distribution locations
- Develop KPIs and performance metrics around service levels, inventory turns, forecast accuracy, and working capital
- Build and mentor a growing inventory planning team
- Influence executive stakeholders through data-driven recommendations
- Support ongoing supply chain transformation initiatives and process improvements
What We’re Looking For
- 10+ years of experience across inventory planning, demand planning, supply chain, or inventory optimization
- Experience managing complex SKU portfolios within manufacturing, industrial, distribution, or other product-based environments
- Strong analytical background with the ability to translate data into business decisions
- Hands-on experience with Power BI or similar BI tools
- Strong SQL skills preferred
- Experience working with ERP systems (SAP or similar)
- Knowledge of forecasting methodologies, inventory optimization, and statistical analysis
- Experience leading teams and influencing cross-functional stakeholders
- Bachelor’s degree required
Nice to Have
- ABC inventory segmentation
- Forecasting for low-volume or difficult-to-predict products
- Inventory optimization modelling
- Supply chain network or multi-site planning experience
- Experience supporting ERP or planning system implementations
Why Apply?
- Opportunity to build and shape a growing inventory planning function
- High visibility role reporting into executive leadership
- Significant investment in modernizing analytics and planning capabilities
- Blend of strategic leadership and hands-on analytical work
- Collaborative culture with strong executive support
- Competitive compensation and bonus package

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QA Engineer
London
£70000 - £75000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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QA ENGINEER
LONDON/HYBRID
UP TO £75,000
This is an opportunity to join a growing technology business at a pivotal stage in its product journey. You will play a key role in shaping an AI-first approach to quality engineering, building scalable automation frameworks and helping deliver a high-quality web platform used in a data-intensive environment.
ROLES AND RESPONSIBILITIES:
The QA Engineer will:
- Design, develop, and maintain automated testing frameworks from the ground up.
- Create automated tests across front-end applications, APIs, and back-end systems.
- Validate complex data flows, ensuring accuracy, reliability, and data quality.
- Build regression testing capabilities to support ongoing platform enhancements and third-party integrations.
- Collaborate with developers, product teams, and stakeholders to improve testability and release quality.
- Drive the use of AI tooling within the testing lifecycle to increase efficiency and reduce manual effort.
- Support CI/CD processes and contribute to continuous quality practices.
- Help establish best practices for automation architecture, test coverage, and quality engineering.
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
- Strong commercial experience with Java or Kotlin.
- Experience testing both frontend and backend systems.
- Hands-on API testing experience using tools such as Rest Assured, Postman, Swagger, or similar.
- UI automation experience with tools such as Selenium, Selenide, or Playwright.
- Understanding of JSON, XML, HTTP methods, response codes, and web architecture.
- Experience working with test frameworks such as JUnit or TestNG.
- Knowledge of SQL and data validation techniques.
- Experience with CI/CD pipelines and tools such as GitHub Actions.
- Familiarity with Jira, Confluence, or similar delivery tools.
- A strong interest in AI-native engineering practices, including the use of tools such as Claude and N8N to accelerate development, automation, and testing workflows.
- A mindset focused on removing manual effort through intelligent automation and process improvement.
APPLY BELOW

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Senior Product Manager
London
£400 - £490
+ Advanced Analytics & Marketing Insights
ContractLondon
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Senior Product Manager (Retrofit Data & Products)
London | Inside IR35 | £400 to £490 per day
This is a key contract opportunity to lead the transformation of multiple data initiatives into a centralised, user-focused data service. Working at the intersection of data, technology and sustainability, you’ll help shape products that improve decision-making across housing and energy programmes.
The Company
They are a public sector organisation delivering major housing and sustainability initiatives. With several data projects already in place, they are investing in a scalable data platform to improve insights, reporting, compliance, and service delivery.
The Role and Deliverables
- Define and deliver the product strategy and roadmap for a centralised data service.
- Bring together multiple data products and workstreams into a cohesive offering.
- Work closely with Data Architects and Analysts to shape data architecture and platform capabilities.
- Lead stakeholder engagement and drive adoption of data products across the organisation.
- Oversee delivery across reporting, analytics, governance, and compliance initiatives.
- Support supplier management and build versus buy decisions where required.
Your Skills & Experience
- Strong experience leading data products, digital platforms, or data services.
- Proven background working with Data Architects and technical teams.
- Strong understanding of data architecture, governance, analytics, and cloud-based environments.
- Experience managing complex projects and stakeholders.
- Public sector, environmental, energy, housing, or retrofit experience is highly desirable.
- Confident driving product strategy and delivering impact from day one.

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QA Engineer
London
£70000 - £75000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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QA Automation Engineer
UP TO £75,000
London/Hybrid
The Overview
This is an opportunity to join a growing technology business where quality engineering is a key part of product development. You’ll play a central role in building scalable test automation, reducing manual testing, and helping shape an AI-enabled approach to software quality within a modern engineering environment.
The Company
They are a fast-growing technology business developing a sophisticated digital platform that helps users make more informed financial decisions. Their engineering teams work in cross-functional squads, combining product, engineering, and quality expertise to deliver high-impact solutions. With a strong focus on innovation, they are investing heavily in automation, AI-enabled workflows, and engineering best practices.
The Role
You will be responsible for driving test automation across web applications, APIs, and backend services while helping improve the overall quality engineering strategy.
Responsibilities include:
- Designing, building, and maintaining automated testing frameworks
- Creating automated tests for web applications and API services
- Supporting quality assurance across frontend and backend systems
- Performing regression, functional, and smoke testing
- Collaborating closely with Product Managers, Developers, and QA colleagues to ensure solutions are testable and scalable
- Using AI tools to improve testing efficiency, accelerate development cycles, and reduce repetitive manual work
- Contributing to CI/CD processes and quality gates within the software delivery lifecycle
- Supporting the development of a robust automation architecture that can scale with platform growth
- Helping improve data quality validation and testing processes
Your Skills & Experience
- Strong commercial experience with Java or Kotlin
- Experience building automated testing solutions from scratch or significantly enhancing existing frameworks
- Strong API testing experience using tools such as Rest Assured, Postman, or similar
- Experience testing JSON and XML payloads
- UI automation experience with Selenium, Playwright, or comparable tools
- Understanding of software testing principles, automation frameworks, and quality engineering best practices
- Experience working with Jira and Agile delivery environments
- Knowledge of CI/CD pipelines and automated deployment processes
- Comfortable working across both frontend and backend systems
- Experience using AI tools within an engineering workflow
- Exposure to Claude and N8N is highly desirable
- Familiarity with SQL and data validation techniques
What They Offer
- Competitive salary
- Potential equity review following successful completion of probation
- 25 days annual leave with the option to carry over up to 5 days
- Hybrid working
- Work-from-home equipment provided on request
- Enhanced parental leave policies
- Study support and dedicated time for learning
- Salary sacrifice pension scheme
- Electric car scheme
- Cycle to Work scheme
- Workplace nursery scheme
- Gym benefit
- Mental health and wellbeing support
- Regular seasonal and team social events
- Opportunity to influence automation strategy and AI-enabled quality engineering practices
- Clear scope for professional growth within a scaling technology business
How to Apply
If you’re passionate about automation, modern QA practices, and AI-driven engineering, I’d love to hear from you. Apply with your latest CV to be considered.

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QA Automation Engineer
London
£75000 - £75000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
QA Automation Engineer
London (Hybrid, 2 days per week) | £75,000 + Benefits
Looking for a QA role where automation and AI are at the heart of engineering? This is an opportunity to join a growing technology business building a sophisticated data platform, where you’ll help shape the future of quality engineering and create scalable automation from the ground up.
The Company
A fast-growing technology business developing a data-driven platform that helps users gain a clearer view of complex financial information. Working in Agile squads, they are investing heavily in automation, AI-assisted development, and modern engineering practices as they continue to scale.
The Role
You will be responsible for driving automated testing across a web platform and backend services, helping ensure quality, reliability, and performance while reducing manual testing.
- Key responsibilities include:
- Building and maintaining automated test frameworks
- Creating UI and API test coverage across frontend and backend systems
- Supporting regression testing for platform enhancements and integrations
- Ensuring data accuracy and quality across complex systems
- Leveraging AI tools to accelerate testing, debugging, and test creation
- Contributing to CI/CD processes and quality best practices
- Collaborating closely with product and engineering teams
Your Skills & Experience
- Strong commercial experience with Java or Kotlin
- Experience with API testing using tools such as Rest Assured or Postman
- UI automation experience using Selenium, Playwright, or similar
- Strong understanding of JSON, XML, APIs, and backend testing
- Experience building automation frameworks and strategies
- Familiarity with Jira and CI/CD environments
- Active use of AI tools within your engineering workflow, including Claude and N8N
- Passion for reducing manual effort through automation
What They Offer
- Salary up to £75,000
- Hybrid working with 2 days per week in the London office
- Private healthcare
- Pension contribution
- 25 days holiday
- Wellbeing support and regular team socials
- Opportunity to influence automation strategy and AI adoption
- Applicants must have full UK working rights. Sponsorship is not available.
How to Apply
To find out more about this QA Automation Engineer opportunity, apply today.

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Data Engineer
City of London
£50000 - £60000
+ Data Engineering
PermanentCity of London, London
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DATA ENGINEER
Up to £60,000+ Benefits
London (Hybrid)
This is a great opportunity to join a high-impact regulatory organisation where you can take ownership of large-scale data platform modernisation and transformation initiatives.
THE COMPANY:
This company is in the healthcare sector, ensuring high standards of practice and safeguarding public health.
They are currently undertaking a major transformation of their data and technology function, investing heavily in modern cloud-based data platforms to enhance reporting, operational insights, and regulatory decision-making.
THE ROLE:
You will take ownership of end-to-end data engineering across enterprise data platforms, supporting migration, integration, and modernisation initiatives within a Microsoft cloud environment.
Key responsibilities include:
- Designing and developing scalable data pipelines and ETL processes
- Integrating new data sources, including Dynamics 365, into the enterprise data warehouse
- Leading data migration, cleansing, modelling, and transformation activities
- Supporting the evolution of data platform architecture using Azure technologies
- Ensuring strong data governance, quality, and documentation standards
- Collaborating with BI teams to enable high-quality reporting and analytics delivery
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Microsoft SQL Server and data warehousing (Synapse / Fabric / Azure SQL)
- Azure Data Factory, Databricks, and modern ETL tooling
- Data modelling, data migration, and large-scale data transformation
- Building and maintaining cloud-based data platforms
- Working within Agile delivery environments
THE BENEFITS:
You will receive a salary of up to £60,000 depending on experience, along with a comprehensive benefits package and the opportunity to work on enterprise-scale data transformation within a highly modern Microsoft stack environment.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Data Engineer (Azure)
Nottingham
£50000 - £60000
+ Data Engineering
PermanentNottingham, Nottinghamshire
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Data Engineer
Up to £60,000 + Benefits
Birmingham (Hybrid – 2 x a month)
This is a fantastic opportunity to join one of the UK’s leading specialist care providers as they embark on a major data transformation journey. You’ll play a key role in building a modern Azure-based data platform, taking ownership of end-to-end data engineering projects that will directly support reporting, analytics, self-service data access, and future AI initiatives.
THE COMPANY:
This care provider, delivers long-term, community-based care to individuals. As part of an ongoing digital transformation, they are investing heavily in its data and analytics capabilities to create a scalable, future-proof data estate.
THE ROLE:
You will take ownership of designing and delivering data solutions across a variety of business functions, helping to build a modern Microsoft data platform and support the development of reusable data services.
Key responsibilities include:
- Designing and implementing end-to-end ETL/ELT pipelines from requirements gathering through to production deployment.
- Developing and maintaining scalable data models, transformations, and data products using modern Azure technologies.
- Optimising data pipelines to ensure high levels of performance, data quality, consistency, and availability.
- Supporting the development of an enterprise ontology model to improve understanding and relationships across data domains.
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Microsoft Azure data engineering technologies.
- Designing and developing ETL/ELT data pipelines.
- SQL development and data modelling.
- CI/CD processes and deployment best practices.
THE BENEFITS:
You will receive a salary of up to £60,000 depending on experience, alongside a comprehensive benefits package and the opportunity to play a key role in a large-scale data transformation programme within a highly impactful organisation.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here
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