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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Senior AI/ML Engineer (Contract)
London
£550 - £625
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
£625 per day | Outside IR35 | 3-6 Month Contract
The Opportunity
An exciting opportunity has arisen for a Senior AI/ML Engineer to join a highly innovative team operating within a large global organisation. Working in a startup-style environment, you’ll play a critical role in shaping and delivering the next generation of Generative AI products.
This team is focused on building AI-powered MVPs, validating product-market fit, and creating scalable solutions that can be adopted across a broader enterprise landscape. They’re looking for an experienced engineer who can bring technical leadership, engineering discipline, and a pragmatic approach to turning ambitious AI concepts into reliable, production-ready solutions.
The Role
This is a hands-on contract position where you’ll provide technical oversight and help establish best practices across AI engineering, MLOps, deployment, and productionisation.
You’ll be expected to quickly assess existing approaches, improve technical foundations, and help ensure the team is building solutions that are secure, scalable, and maintainable.
Key Responsibilities
- Review and validate AI solution architectures and engineering approaches.
- Bring engineering rigour and governance to AI product development.
- Establish coding standards, testing practices, and development workflows.
- Productionise machine learning and Generative AI solutions.
- Develop and maintain ML pipelines and deployment frameworks.
- Implement monitoring, logging, observability, and model performance tracking.
- Conduct LLM security assessments, including prompt injection testing and mitigation.
- Collaborate closely with Data Scientists, Engineers, Product stakeholders, and external partners.
- Support the team in moving from experimentation to robust, scalable delivery.
- Provide hands-on technical guidance while remaining actively involved in development.
Technology Stack
Essential Experience
- Expert-level Python development
- Azure cloud platform
- Databricks
- MLflow
- Containerised environments (Docker or similar)
- Machine learning pipeline development
- CI/CD and deployment automation
- Software engineering best practices and automated testing
- Jupyter Notebooks
AI & Machine Learning Expertise
- Generative AI applications
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Vector databases
- NLP and content generation platforms
- Prompt engineering
- AI application architecture
- Model monitoring and governance
- LLM security and evaluation
Desirable Experience
- Startup or scale-up environments
- Conversational AI and chatbot development
- Healthcare, life sciences, or regulated industry experience
- Responsible AI and AI governance initiatives
- Product-focused AI engineering
Candidate Profile
We’re looking for a practical, delivery-focused engineer who is comfortable operating in ambiguous and fast-moving environments.
You’ll likely have:
- A strong software engineering background combined with modern AI/ML expertise.
- Experience building and deploying AI products in production environments.
- A systems-thinking approach to architecture and technical decision-making.
- Strong stakeholder communication and collaboration skills.
- The confidence to challenge assumptions and improve technical direction.
- A product-oriented mindset, understanding how technology delivers business value.
- A passion for creating scalable, maintainable AI solutions rather than simply building prototypes.
This role would suit someone who enjoys bringing structure and clarity to complex technical challenges and helping teams deliver high-quality AI products.
Team Structure
You will work alongside:
- Product Manager
- Data Scientists
- Python Engineers
- AI Engineers
- Solution Architect
- Front-End Developers
- External Delivery Partners
This is a senior individual contributor role with significant technical influence but no direct line management responsibilities.
Why Apply?
- Join a high-impact Generative AI programme.
- Work on cutting-edge AI products and platforms.
- Influence technical architecture and engineering standards.
- Enjoy startup-style autonomy with enterprise-scale backing.
- Make a visible impact from day one.
- Collaborate with a highly skilled multidisciplinary team.
Package
Contract Length: 3-6 Months
Day Rate: £625 per day
IR35 Status: Outside IR35
Location: Hybrid
Start Date: ASAP
Key Skills
Python | Azure | Databricks | MLflow | Generative AI | LLMs | NLP | RAG | Vector Databases | MLOps | Docker | Prompt Engineering | AI Engineering | Machine Learning
Short Overview
Senior AI/ML Engineer required to build and productionise cutting-edge Generative AI solutions using Python, Azure, Databricks and modern LLM technologies.
To Apply for this Job Click Here
Martech Transformation Lead
London
£500 - £600
+ Digital Analytics
ContractLondon
To Apply for this Job Click Here
London | Inside IR35
Hybrid – Minimum 2 days on site
Contract Length 3 – 6 months
This is a high impact transformation assignment for a senior technology leader who can shape the architecture, platforms and data foundations required to enable an AI-driven operating model. You will play a pivotal role in aligning technology, data and business stakeholders while ensuring complex enterprise platforms are ready to support future innovation at scale.
The Company
They are a large, complex organisation undertaking a significant technology and operating model transformation. With a strong focus on data, AI and platform modernisation, they are investing in the capabilities required to deliver more intelligent, connected and scalable customer experiences. This programme sits at the intersection of technology, data and business transformation, making it a highly visible and strategically important initiative.
The Role and Deliverables
- Define and govern the target technology architecture supporting an AI-enabled operating model.
- Develop platform integration strategies and pragmatic implementation roadmaps across enterprise systems.
- Assess technology and data readiness, identifying gaps, dependencies and key architectural risks.
- Coordinate technology, data and platform stakeholders to align delivery across multiple functions.
- Provide architectural assurance and challenge technology decisions to ensure scalable, sustainable outcomes.
- Oversee platform ownership, supplier engagement and governance frameworks within a regulated environment.
Your Skills & Experience
- Strong experience leading complex technology transformation, enterprise architecture or platform modernisation programmes.
- Deep understanding of enterprise architecture, integration patterns, APIs, data architecture and platform ecosystems.
- Strong knowledge of AI and agentic technologies, including the infrastructure, orchestration, governance and data capabilities needed to scale them effectively.
- Proven ability to define target state architectures and translate strategic objectives into practical delivery roadmaps.
- Experience navigating large enterprise technology landscapes and influencing senior technology and business stakeholders.
- Strong understanding of technology governance, security, risk management and architectural assurance.
- Experience managing technology dependencies, supplier relationships and platform ownership responsibilities.
- Exposure to marketing technology ecosystems such as Adobe, Pega, Workfront, Microsoft and related data or AI platforms is highly desirable.
- Ability to engage confidently with senior technology leaders and business executives, balancing technical and commercial considerations.
Please apply below to discuss this contract opporunity further.
To Apply for this Job Click Here
Fraud Analyst
London
£275 - £300
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Fraud Analyst – Decision Intelligence
Location: Remote (UK)
Duration: 3-Month Contract
Rate: Up to £300 per day (Inside IR35)
The Company
We’re working with a high-growth FinTech looking to strengthen its Fraud Decision Intelligence capability during a busy period whilst they build out the permanent team.
This is an opportunity to join a data-driven fraud function focused on moving from a reactive to a proactive approach to fraud prevention. You’ll work closely with fraud, product and data stakeholders to identify trends, uncover opportunities and improve fraud controls across a payments environment.
The Role
Joining the Decision Intelligence team, you’ll use data to investigate fraud trends, analyse transaction behaviour and support the optimisation of fraud controls and decisioning strategies.
You’ll be expected to work independently, proactively identifying opportunities for improvement and helping shape how fraud is detected and prevented across the business.
Key responsibilities include:
- Analysing fraud and transaction data using SQL
- Identifying emerging fraud trends and risks
- Supporting fraud decisioning and rule optimisation activities
- Investigating control performance and recommending improvements
- Using BI tools to interrogate and visualise data
- Working with stakeholders to translate insights into actionable recommendations
- Supporting a more proactive fraud prevention strategy
Skills & Experience
We’re looking for candidates with:
- Strong SQL skills and experience working with large datasets
- Experience using BI tools such as Looker, Tableau, Power BI or similar
- Previous experience within fraud analytics, fraud strategy, fraud prevention or fraud risk
- Payments, cards or wider FinTech experience
- Experience identifying trends and producing actionable insights
- Strong stakeholder management and communication skills
- Ability to work independently in a fast-paced environment
Desirable
- Experience with fraud decisioning platforms
- Exposure to fraud rule design, implementation or optimisation
- Python for automation and analysis
- Experience balancing fraud prevention against customer experience and approval rates
To Apply for this Job Click Here
Associate Director Qualitative Research
London
£60000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
This is an exciting opportunity for an experienced qualitative research leader to join a growing insights and research business operating within the healthcare and life sciences sector. The role combines strategic client leadership, operational excellence, and people management, offering significant scope to shape team performance and client outcomes.
The Company
They are a well-established international research and insights organisation supporting clients across healthcare, pharmaceutical, biotech, and life sciences industries. Their work helps organisations make informed commercial and strategic decisions through high-quality research and consultancy services. With a collaborative and supportive culture, they are committed to delivering exceptional client outcomes while investing in the development of their people.
The Role
As Associate Director, Qualitative Research, you will lead a team responsible for delivering complex qualitative research projects for healthcare and pharmaceutical clients.
Key responsibilities include:
- Leading, coaching, and developing a team of qualitative research professionals
- Managing team performance, workload allocation, and professional development
- Building and maintaining strong relationships with healthcare, pharmaceutical, and life sciences clients
- Overseeing end-to-end project delivery, ensuring projects are delivered on time, within budget, and to a high standard
- Managing project escalations and driving solutions to operational challenges
- Partnering with senior stakeholders to improve processes, systems, and service delivery
- Supporting commercial performance, project profitability, and client retention
- Driving client service excellence across key accounts
- Identifying opportunities to enhance operational efficiency and team effectiveness
- Contributing to the development of best practice standards across research operations
Your Skills & Experience
- Strong qualitative market research experience within healthcare, pharmaceutical, medical device, biotech, or life sciences sectors
- Proven people management experience, including coaching, mentoring, and performance management
- Leading complex research projects from initiation through to delivery
- Experience managing client relationships and providing consultative support to stakeholders
- Strong project delivery and operational management capabilities
- Commercial awareness with an understanding of project profitability and client account management
- Good communication and stakeholder management skills
- Ability to work collaboratively across multiple teams and functions
What They Offer
- Performance-related bonus
- Clear progression opportunities into senior leadership roles
To Apply for this Job Click Here
Data Analyst
Windsor
£60000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentWindsor, Berkshire
To Apply for this Job Click Here
Data Analyst
This is an opportunity to join a PE-backed business building its data and analytics capability. You’ll work across data science, machine learning, and data modelling projects that support operational and commercial decision-making.
They are investing in data, AI, and cloud technologies to improve processes and support growth. The analytics team works closely with stakeholders across the business to deliver reporting, forecasting, and machine learning solutions.
The Role
You will:
- Clean, transform, and prepare data from multiple sources
- Build and maintain data models within a cloud data platform
- Develop predictive models for workforce, occupancy, and operational forecasting
- Work with Snowflake or Databricks to support analytics and machine learning use cases
- Create features and datasets for modelling and reporting
- Deploy and monitor machine learning models
- Support data quality, governance, and documentation
- Partner with stakeholders to identify and deliver analytical solutions
Your Skills & Experience
- Strong Python skills, commercial experience in advanced analytics
- Experience with data wrangling and data cleaning
- Experience designing and maintaining data models
- Experience working with Snowflake and/or Databricks
- Knowledge of predictive modelling, forecasting, and classification techniques
- Experience working with cloud-based data environments
- Ability to work with both technical and non-technical stakeholders
To Apply for this Job Click Here
Operations Analytics Lead
London
£100000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
This is an opportunity to lead a high-impact analytics function within a complex, data-rich environment. You will shape the data and insights strategy, influence senior decision-making, and build a best-in-class analytics capability that supports operational performance and business growth.
The Company
They are a fintech where data plays a critical role in driving operational excellence, customer outcomes, and strategic decision-making across the business.
With significant investment in analytics, reporting, and automation, they are looking for an experienced leader who can bring together data, technology, and commercial insight to deliver measurable business impact.
The Role
As the Operations Analytics & Insight Lead, you will be responsible for setting the direction of the analytics function while leading and developing a high-performing team.
You will:
- Define and deliver the data and insights strategy for the operations function.
- Lead, coach, and develop a team of analysts, creating a culture of high performance and continuous improvement.
- Act as the senior analytics partner to leadership teams, providing insight that drives business decisions.
- Establish and maintain trusted operational KPIs, reporting frameworks, and measurement standards.
- Design and oversee analytical approaches for major transformation and optimisation initiatives.
- Translate complex business challenges into structured analytical solutions and actionable recommendations.
- Drive best practice across SQL development, reporting, analytics, and data governance.
- Champion self-service reporting and scalable data solutions to improve business efficiency.
- Work closely with senior stakeholders to influence strategic priorities through evidence-based decision-making.
Your Skills & Experience
- Strong experience leading a Data, Analytics, or Insights team within a commercial environment.
- Proven people management experience, including mentoring, coaching, and developing analysts.
- Advanced SQL skills and the ability to work confidently with large, complex datasets.
- Experience with modern cloud data platforms such as BigQuery, Snowflake, Redshift, or similar.
- Strong understanding of experimentation, statistical analysis, performance measurement, and KPI development.
- Experience with data visualisation tools such as Tableau, Looker, or Power BI.
- Ability to communicate complex analytical findings to senior and executive stakeholders.
- Commercial mindset with a track record of using data to influence business outcomes.
- Python experience for analysis or automation would be advantageous.
To Apply for this Job Click Here
Data Scientist
Windsor
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentWindsor, Berkshire
To Apply for this Job Click Here
Data Scientist
Windsor – 3-4 days per week
Up to £60,000
This is an exciting opportunity to join a growing organisation at a pivotal stage in its data and AI journey. You’ll play a key role in building a modern analytics capability from the ground up, helping to transform fragmented data into actionable insight while contributing to innovative machine learning, forecasting, and AI initiatives.
The Company
They are a well-established organisation undergoing significant growth and investment in data, analytics, and technology. With an ambitious transformation programme underway, they are modernising their data infrastructure and building a scalable cloud-based platform to support future growth.
Their focus is on improving decision-making through high-quality data, predictive analytics, and AI-enabled applications. Working in a small, collaborative team, you’ll have the opportunity to influence strategy, shape solutions, and see your work deliver tangible business impact.
The Role
As a Data Scientist, you will work closely with senior stakeholders to develop data products, analytical models, and AI-driven solutions that support both operational and commercial objectives.
Key responsibilities include:
- Designing and implementing scalable data models within a modern cloud data platform
- Improving data quality, standardisation, and reconciliation across multiple source systems
- Performing entity resolution and fuzzy matching to create trusted records and improve data integrity
- Developing forecasting models to support business performance, resource planning, and operational decision-making
- Building machine learning and predictive analytics solutions across a range of business challenges
- Supporting AI-driven document processing and information extraction initiatives
- Creating insightful Power BI dashboards and reports for senior leadership teams
- Working with Snowflake to support data warehousing and analytical modelling activities
- Contributing to data governance, testing, and quality assurance processes
- Collaborating with technical and non-technical stakeholders to translate business challenges into analytical solutions
Your Skills & Experience
- Strong commercial experience in Data Science, Advanced Analytics, Analytics Engineering, or a similar field
- Excellent SQL skills and experience working with large, complex datasets
- Experience building data models for analytics and reporting
- Exposure to forecasting, predictive modelling, machine learning, or statistical analysis
- Experience working with data quality improvement, reconciliation, or fragmented datasets
- Knowledge of Power BI for reporting and stakeholder-facing analytics
- Experience working within modern cloud data environments, ideally Snowflake
- Understanding of data warehousing concepts and analytical data modelling
- Strong communication skills with the ability to engage business stakeholders
- STEM-related academic background
Desirable experience:
- Snowflake Cortex, AI applications, or document processing solutions
- Databricks or similar cloud analytics platforms
- CI/CD, Azure DevOps, or software development lifecycle processes
- Identity resolution, record matching, or master data management initiatives
What They Offer
- Opportunity to work on AI, machine learning, forecasting, and data platform projects
- Exposure to senior stakeholders and business-critical initiatives
- A collaborative environment where your work will directly influence business outcomes
- Clear opportunity to grow alongside a rapidly expanding organisation and analytics function
How to Apply
To find out more about this Data Scientist opportunity in Windsor, please submit your application today.
To Apply for this Job Click Here
Senior Data Scientist (Marketing)
£70000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentEngland
To Apply for this Job Click Here
Senior Data Scientist, Marketing
Fully Remote (UK)
Up to £90,000
This is an opportunity to play a pivotal role in shaping marketing investment decisions within a fast-growing digital business. You’ll combine advanced marketing measurement, experimentation, and predictive modelling to influence how significant acquisition budgets are allocated, delivering clear commercial impact across the organisation.
The Company
They are a rapidly growing digital marketplace with a strong consumer brand and a mission-led culture. Operating internationally, they connect customers with unique experiences through a network of independent partners and suppliers. The business is investing heavily in marketing growth and is looking for a Senior Data Scientist to ensure investment decisions are evidence-based, measurable, and commercially effective. Their remote-first environment combines flexibility with a strong emphasis on collaboration, ownership, and data-driven decision making.
The Role
As a Senior Data Scientist specialising in Marketing Analytics and Measurement, you will work closely with senior stakeholders across Data and Marketing to improve marketing effectiveness and customer acquisition performance.
Responsibilities include:
- Owning and developing Marketing Mix Models (MMM) to evaluate channel performance, diminishing returns, and budget allocation decisions.
- Designing and analysing incrementality experiments, including conversion lift studies, geo experiments, and holdout testing.
- Improving marketing measurement and attribution frameworks in an increasingly privacy-focused digital landscape.
- Building and maintaining Customer Lifetime Value (LTV) models to support acquisition, retention, and bidding strategies.
- Applying statistical and causal inference techniques to distinguish genuine business impact from correlation.
- Translating complex analytical outputs into clear recommendations for commercial and marketing stakeholders.
- Using AI tools and workflows to accelerate analysis, experimentation, and insight generation while maintaining rigorous analytical standards.
- Collaborating with cross-functional teams to establish best practices in experimentation and measurement.
Your Skills & Experience
- Strong commercial experience in marketing measurement, including Marketing Mix Modelling, incrementality testing, lift studies, or geo experimentation.
- Advanced statistical knowledge covering causal inference, experimental design, hypothesis testing, regression analysis, and sample sizing.
- Strong SQL and Python capabilities within modern cloud-based analytics environments.
- Experience working with tools such as Snowflake, dbt, and contemporary analytics platforms.
- Understanding of paid media measurement, attribution methodologies, and privacy-related tracking limitations.
- Ability to communicate technical concepts to non-technical stakeholders and influence strategic decision making.
- Experience using AI-enabled workflows to improve analytical efficiency and scalability.
- Exposure to Bayesian modelling, value-based bidding, LTV modelling, marketplace businesses, or travel-related sectors would be beneficial.
What They Offer
- Annual performance-based bonus.
- Remote working support and workspace allowance.
- Access to regular company meetups and team events.
- Employee discounts and additional benefits.
- The opportunity to shape marketing measurement strategy during a period of significant growth and investment.
If you’re a commercially minded Senior Data Scientist with expertise in marketing measurement, experimentation, and modelling, apply today to learn more about this exciting opportunity.
To Apply for this Job Click Here
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