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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DATA & AI SALARYÂ GUIDE 2024
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Senior Decision Scientist, Analytics
London
£80000 - £80000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR DECISION SCIENTIST, ANALYTICS
London (Hybrid) | Up to £80,000
An exciting opportunity to join a high-growth fintech business where analytics plays a central role in commercial decision-making. This role offers significant exposure to senior stakeholders, complex datasets, and the chance to influence strategy across multiple markets.
THE COMPANY
They are a fast-growing technology-led financial services business operating across international markets. With a strong data-driven culture and ambitious growth plans, they invest heavily in analytics, innovation, and decision science. You will join a collaborative environment where insights directly shape business performance.
THE ROLE
* Develop analytical tools and frameworks to support business and risk decisions.
* Conduct scenario analysis and provide actionable recommendations to stakeholders.
* Analyse large datasets to identify trends, opportunities, and performance drivers.
* Collaborate with Data Science, Engineering, Finance, and Commercial teams on strategic initiatives.
* Present insight-led findings to both technical and non-technical audiences.
YOUR SKILLS & EXPERIENCE
* Strong experience in analytics, decision science, data science, or a related quantitative field.
* Advanced SQL and Python skills.
* Excellent statistical and problem-solving capabilities.
* Experience translating complex analysis into commercial recommendations.
* Strong stakeholder management and communication skills.
WHAT THEY OFFER
* Salary up to £80,000 depending on experience.
* Comprehensive benefits package.
* Clear progression opportunities within a growing business.
* Collaborative, high-performing, and data-driven culture.
HOW TO APPLY
Apply today to learn more about this Senior Decision Scientist opportunity.
To Apply for this Job Click Here
Senior Decision Scientist, Model Validation
London
£80000 - £80000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR DECISION SCIENTIST, MODEL VALIDATION
London (Hybrid) | Salary up to £80,000
Join a high-growth fintech business where data-driven decision making sits at the heart of commercial success. This is an opportunity to take ownership of model validation, credit decisioning and risk analytics in a fast-paced environment, helping shape lending strategies across multiple products and markets.
The Company
They are a rapidly scaling financial technology organisation delivering innovative lending solutions. With strong backing, ambitious growth plans and an expanding international presence, they continue to invest heavily in analytics, risk and data capabilities. Their culture is collaborative, commercially focused and driven by evidence-based decision making.
The Role
You will play a key role in strengthening model oversight and credit decisioning processes, working closely with Data Science, Risk, Engineering and Commercial teams.
Responsibilities include:
- Leading independent validation of credit risk and decisioning models.
- Assessing model performance, calibration, stability and suitability for business use.
- Building monitoring frameworks for model performance, data quality and decision outcomes.
- Identifying, investigating and resolving model, data and implementation issues.
- Presenting insights and recommendations to both technical and senior business stakeholders.
Your Skills & Experience
- Strong experience in decision science, credit risk analytics, model validation or a similar quantitative discipline.
- Advanced SQL and Python skills for analysis, validation and monitoring.
- Strong statistical knowledge with the ability to evaluate and challenge predictive models.
- Experience working across the full model lifecycle, including validation, calibration and monitoring.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Experience within lending, financial services, commercial credit or related sectors is advantageous.
What They Offer
- Competitive base salary plus performance-related bonus.
- Comprehensive benefits package including private medical cover and enhanced family leave.
- Flexible hybrid working model.
- Clear career progression within a growing analytics and risk function.
- Exposure to international markets, complex data challenges and senior business stakeholders.
- Collaborative, high-performing and data-led culture.
How to Apply
If you are an experienced Decision Scientist with strong model validation and credit risk expertise, apply today!
To Apply for this Job Click Here
Head of Data Science
London
£120000 - £140000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
HEAD OF DATA SCIENCE
London (Hybrid) | £120,000 – £140,000 + Equity
This is an opportunity to lead the data science strategy for a rapidly growing fintech business where AI, machine learning, and data-driven decision making sit at the heart of the organisation. You’ll play a key role in shaping risk and affordability modelling capabilities while building solutions that directly influence business performance and customer outcomes.
The Company
They are a high-growth financial services organisation using technology and data to transform customer experiences within consumer lending. With strong backing and ambitious growth plans, they are investing heavily in AI, analytics, and automation to drive smarter decision making across the business. This is a business where innovation is encouraged and technical leaders can have a significant impact.
The Role
- Define and lead the data science strategy across risk, affordability, and decisioning.
- Develop and deploy machine learning models that support lending decisions.
- Drive the adoption of AI and advanced analytics solutions across the organisation.
- Partner closely with Product, Engineering, Credit Risk, and Operations teams.
- Own model deployment, monitoring, governance, and performance evaluation.
- Present insights and recommendations to senior stakeholders and leadership teams.
Your Skills & Experience
- Strong commercial experience in credit risk modelling within consumer lending or financial services.
- Hands-on expertise in Python, SQL, machine learning, and predictive modelling.
- Experience deploying models into production environments and monitoring performance.
- Knowledge of AI, LLMs, or agent-based technologies in real-world applications.
- Strong stakeholder management and communication skills.
- Ability to balance technical excellence with commercial objectives.
What They Offer
- Salary of £120,000 – £140,000 depending on experience.
- Equity participation.
- Private healthcare and enhanced pension contribution.
- Generous holiday allowance.
- Clear scope for leadership, ownership, and career progression.
How to Apply
If you’re interested in leading a high-impact data science function within a fast-growing fintech environment, apply today to find out more.
To Apply for this Job Click Here
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
Head of Data Science – Credit Risk
London
£120000 - £140000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
HEAD OF DATA SCIENCE – CREDIT RISK
£120,000-140,000 (dependent on experience)
London – 3 days in office
Great opportunity with a scaling FinTech lender in the UK. This business offer a fast-paced and driven work environment, with a really collaborative team culture that encourages employee development and growth.
THE COMPANY
This dynamic and fast-paced lender is seeking a driven and experienced individual to join their team to own their modelling function, across credit risk, collections, fraud and more. You’d work as an Individual Contributor to lead the Data Science function to make an impact on business performance.
THE ROLE
- Develop a range of credit models within the business, predominantly scorecards and broader decisioning models
- Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
- Own implementation and impact of predictive models across the product suite
YOUR SKILLS AND EXPERIENCE:
- Essential to have experience developing predictive models
- SQL and Python experience is essential
- Highly desirable to have had experience in Consumer Lending and a strong understanding of the credit lifecycle
- Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech is a plus
SALARY AND BENEFITS
- Base salary from £120-140,000 depending on experience
- Private medical care
- 25 days holiday
- Cycle to work scheme
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
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
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