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 SALARY GUIDE 2024
For the last 12 years, the world’s largest census of professionals, managers and leaders in the data space have come together to contribute to our crucial industry research and we’d love you to take part.
Senior Credit Risk Analyst – FinTech
London
£60000 - £80000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR CREDIT RISK STRATEGY ANALYST – FINTECH
£80,000
LONDON
This FinTech have been through significant growth in the past few years and are looking to continue on this journey. They are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in developing their lending strategies. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.
THE ROLE
- Developing and driving lending strategies across the business, across both acquisitions and exisiting customers
- Work across a range of areas including pricing, profitability, affordability and broader lending decisions to add growth and commercial improvements across the business
- Analysing wider portfolio performance to drive innovation and forecast future developments
- Integrating CRA and wider customer data to enhance business performance
YOUR SKILLS AND EXPERIENCE:
- Essential to have experience within consumer lending
- Strong experience in developing and leading implementation of credit risk strategies is essential
- SQL or Python experience is essential
- Experience working with SME or business lending is highly desirable
SALARY AND BENEFITS
- Up to £80,000 base salary
- Bonus
- Private medical care
- Pension 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
Kafka Data Governance Contractor
London
£500 - £650
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Data Governance Contractor – Streaming Schema Governance
London | Outside IR35
This is an opportunity to play a key role in a major data transformation programme focused on establishing and embedding Kafka schema governance at scale. You will help shape governance frameworks, drive stakeholder alignment, and ensure robust controls are implemented across a complex streaming data environment. [Data
The Company
A leading financial services organisation currently building and scaling its enterprise event-streaming capability. As part of a major data transformation programme, the business is implementing Kafka schema governance from the ground up, creating the standards, controls and operating processes needed to support a large-scale Kafka estate of over 300 topics within a regulated environment.
The Role and Deliverables
- Establish and operate a Kafka schema governance framework covering schema quality, nullability, and lifecycle management.
- Facilitate agreement and ratification of schema governance rules, topic taxonomies, and operating standards.
- Define governance processes, including schema review gates, change control, exception management, and ownership models.
- Support onboarding and adoption of the governance framework through stakeholder engagement and guidance.
- Lead assessment and remediation activities across an existing Kafka estate, including schema compliance reviews and prioritisation of issues.
- Drive schema version governance, deprecation processes, and consumer migration activities through to completion.
Your Skills & Experience
- Strong experience delivering data governance or cloud governance programmes.
- Must-have experience with Kafka, including schema governance, schema registry, and data contract concepts.
- Experience working with Confluent Kafka, Avro, or comparable schema management technologies.
- Ability to translate governance, regulatory, or policy requirements into technical controls and operating frameworks.
- Strong stakeholder management skills with the ability to influence governance, architecture, engineering, and business teams.
- Experience producing governance documentation, process design, and audit-ready evidence.
How to Apply
If you have strong Kafka and Data Governance experience and are interested in a high-impact contract opportunity, please apply with your latest CV.
To Apply for this Job Click Here
Analyst, Marketing Science
London
£40000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Analyst, Marketing Science
London | Hybrid (3 days in office) | £40,000 – £60,000
This is a fantastic opportunity for an Analyst to join a leading customer experience and marketing consultancy where data and analytics are central to driving customer engagement and business performance. You’ll gain exposure to a wide range of analytics projects, working with well-known brands while developing your technical and commercial skillset in a collaborative environment.
The Company
They are a specialist customer experience and marketing consultancy that helps organisations make better decisions through data, analytics, and customer insight. Their analytics function combines marketing science, customer analytics, and data capability to deliver measurable business outcomes. Working across a diverse client portfolio, they offer strong opportunities for professional development, cross-functional collaboration, and long-term career progression.
The Role
- Deliver campaign performance analysis and marketing effectiveness reporting
- Analyse customer journeys and customer behaviour to identify actionable insights
- Build reports, dashboards, and visualisations to support stakeholder decision-making
- Use analytics tools such as GA4, Adobe Analytics, and similar platforms to answer business questions
- Support ad-hoc insight requests and project-based analytics work
- Work closely with strategy, data, technology, and client teams
- Assist with tagging, tracking, and data capture initiatives
- Contribute to customer, content, and digital analytics projects
- Present findings and recommendations in a clear and commercial manner
Your Skills & Experience
- Commercial experience in marketing analytics, digital analytics, or customer analytics
- Experience using SQL and/or Python for data analysis
- Knowledge of analytics platforms such as GA4, Adobe Analytics, Sprinklr, or similar tools
- Experience creating reports, dashboards, and data visualisations
- Understanding of campaign measurement and marketing performance analysis
- Strong analytical thinking and problem-solving skills
- Ability to communicate insights clearly to both technical and non-technical stakeholders
- Experience within an agency or consultancy environment is advantageous
What They Offer
- Salary of £40,000 – £60,000
- Hybrid working model
- Exposure to a broad range of clients and analytics projects
- Structured career development and internal mobility opportunities
- Opportunity to work across customer analytics, digital analytics, and marketing science projects
- Collaborative environment with access to experienced analytics professionals
- Exposure to emerging analytics and AI-driven insight initiatives
How to Apply
If you’re looking to develop your career in marketing analytics within a fast-paced and innovative consultancy environment, apply today to learn more about this opportunity.
To Apply for this Job Click Here
Principal Machine Learning Engineer
€115000 - €135000
+ Data Science & AI
PermanentBarcelona
To Apply for this Job Click Here
Principal Machine Learning Engineer
Up to €135,000
Paris or Barcelona (2 days a week in office)
This is an opportunity to join a high-growth technology business where machine learning sits at the heart of the product. Reporting directly to the CTO, you will influence technical strategy, lead complex machine learning initiatives, and remain hands-on with the development of models that power large-scale commercial decision-making.
THE COMPANY
They are a profitable AdTech scale-up specialising in AI-driven performance advertising. Their platform helps businesses acquire and re-engage users through highly targeted digital advertising, using machine learning to determine which users see specific adverts and when. Having achieved significant growth in recent years, they continue to invest heavily in their machine learning and data capabilities while maintaining a collaborative, engineering-led culture. Their teams are distributed internationally and work on products that make billions of real-time decisions each day.
THE ROLE
As a Principal Machine Learning Engineer, you will combine technical leadership with hands-on machine learning engineering responsibilities.
Specifically, you can expect to be involved in the following:
- Defining technical direction and influencing machine learning strategy across multiple teams
- Designing, building and deploying machine learning models in production environments
- Developing recommendation systems and bidding algorithms within a large-scale advertising ecosystem
- Building audience targeting and mobile attribution models
- Creating customer lifetime value and churn prediction models
- Scaling machine learning infrastructure, experimentation frameworks and training pipelines
- Driving best practices across MLOps, model monitoring, observability and automated retraining
- Partnering with engineering leadership and business stakeholders to align technical solutions with commercial objectives
- Mentoring engineers and contributing to architecture and platform decisions across the machine learning function
- Leading the development of new machine learning capabilities from research through to production deployment
SKILLS AND EXPERIENCE
The successful Principal Machine Learning Engineer will have the following skills and experience:
- Strong commercial experience as a Machine Learning Engineer at Senior, Staff or Principal level
- Proven track record of building and deploying production machine learning systems at scale
- Experience within AdTech, programmatic advertising, RTB or DSP environments is highly desirable
- Expertise in one or more of the following areas: recommendation systems, audience targeting, attribution modelling, customer lifetime value modelling or churn prediction
- Strong Python and machine learning engineering skills
- Experience with modern machine learning frameworks such as PyTorch, TensorFlow or similar technologies
- Exposure to MLOps tooling, experimentation platforms and large-scale data environments
- Experience leading technical initiatives and influencing engineering direction
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders
- PhD or advanced academic background in a STEM discipline is beneficial but not essential
BENEFITS
The successful Principal Machine Learning Engineer will receive the following benefits:
- Salary up to €135,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Principal Machine Learning Engineer
Paris
€115000 - €135000
+ Data Science & AI
PermanentParis, Île-de-France
To Apply for this Job Click Here
Principal Machine Learning Engineer
Up to €135,000
Paris or Barcelona (2 days a week in office)
This is an opportunity to join a high-growth technology business where machine learning sits at the heart of the product. Reporting directly to the CTO, you will influence technical strategy, lead complex machine learning initiatives, and remain hands-on with the development of models that power large-scale commercial decision-making.
THE COMPANY
They are a profitable AdTech scale-up specialising in AI-driven performance advertising. Their platform helps businesses acquire and re-engage users through highly targeted digital advertising, using machine learning to determine which users see specific adverts and when. Having achieved significant growth in recent years, they continue to invest heavily in their machine learning and data capabilities while maintaining a collaborative, engineering-led culture. Their teams are distributed internationally and work on products that make billions of real-time decisions each day.
THE ROLE
As a Principal Machine Learning Engineer, you will combine technical leadership with hands-on machine learning engineering responsibilities.
Specifically, you can expect to be involved in the following:
- Defining technical direction and influencing machine learning strategy across multiple teams
- Designing, building and deploying machine learning models in production environments
- Developing recommendation systems and bidding algorithms within a large-scale advertising ecosystem
- Building audience targeting and mobile attribution models
- Creating customer lifetime value and churn prediction models
- Scaling machine learning infrastructure, experimentation frameworks and training pipelines
- Driving best practices across MLOps, model monitoring, observability and automated retraining
- Partnering with engineering leadership and business stakeholders to align technical solutions with commercial objectives
- Mentoring engineers and contributing to architecture and platform decisions across the machine learning function
- Leading the development of new machine learning capabilities from research through to production deployment
SKILLS AND EXPERIENCE
The successful Principal Machine Learning Engineer will have the following skills and experience:
- Strong commercial experience as a Machine Learning Engineer at Senior, Staff or Principal level
- Proven track record of building and deploying production machine learning systems at scale
- Experience within AdTech, programmatic advertising, RTB or DSP environments is highly desirable
- Expertise in one or more of the following areas: recommendation systems, audience targeting, attribution modelling, customer lifetime value modelling or churn prediction
- Strong Python and machine learning engineering skills
- Experience with modern machine learning frameworks such as PyTorch, TensorFlow or similar technologies
- Exposure to MLOps tooling, experimentation platforms and large-scale data environments
- Experience leading technical initiatives and influencing engineering direction
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders
- PhD or advanced academic background in a STEM discipline is beneficial but not essential
BENEFITS
The successful Principal Machine Learning Engineer will receive the following benefits:
- Salary up to €135,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Data Platform Engineer
Newcastle upon Tyne
£73000 - £84000
+ Data Engineering
PermanentNewcastle upon Tyne, Tyne and Wear
To Apply for this Job Click Here
Data Platform Engineer
£73,000 – £84,000
Newcastle (2 days a week in office)
This is an opportunity to join a well-established international organisation investing heavily in its enterprise data capabilities. You will play a key role in maintaining and evolving a modern cloud-based data platform built on Microsoft Azure technologies, ensuring it remains secure, reliable, and ready to support business-critical data initiatives.
THE COMPANY
They are a globally recognised professional services organisation with a large international footprint and a strong focus on innovation and technology. Their data platform underpins strategic decision-making across multiple business functions and regions. With significant investment in cloud, data, and engineering capabilities, they are building a robust, scalable environment that supports long-term growth. They foster a collaborative culture where technical expertise, continuous improvement, and knowledge sharing are highly valued.
THE ROLE
As a Data Platform Engineer, you will take ownership of the operational health and reliability of a modern Azure-based data platform.
Specifically, you can expect to be involved in the following:
- Providing L2/L3 support across Microsoft Fabric, Azure Databricks, and associated Azure services
- Monitoring platform performance, availability, resilience, and utilisation
- Investigating and resolving incidents, problems, and service requests through established ITSM processes
- Supporting major incident response and root cause analysis activities
- Managing platform administration, operational checks, and environment maintenance
- Supporting change, release, and deployment processes through CI/CD pipelines
- Maintaining monitoring, alerting, logging, dashboards, and observability solutions
- Ensuring platform changes meet operational readiness and governance requirements before release
- Collaborating with architecture, infrastructure, security, and business stakeholders
- Developing runbooks, technical documentation, operational procedures, and knowledge articles
- Supporting governance, security, compliance, and access control activities
- Driving continuous improvement across platform operations and support processes
SKILLS AND EXPERIENCE
The successful Data Platform Engineer will have the following skills and experience:
- Strong commercial experience supporting cloud-based data platforms in production environments
- Experience with Microsoft Fabric, Azure Databricks, or similar modern data platform technologies
- Strong understanding of Azure services including Key Vault, Azure Monitor, Log Analytics, Entra ID, and secure networking concepts
- Experience managing incidents, problems, changes, and releases within an ITSM framework
- Familiarity with ServiceNow or similar service management tools
- Experience with monitoring, logging, diagnostics, and operational reporting
- Knowledge of Azure DevOps, Git, CI/CD pipelines, and release automation
- Working knowledge of scripting and automation using PowerShell, Python, or similar technologies
- Exposure to Infrastructure as Code tools such as Terraform
- Understanding of data governance, security controls, audit requirements, and compliance within regulated environments
- Ability to produce high-quality technical documentation and operational procedures
BENEFITS
The successful Data Platform Engineer will receive the following benefits:
- Salary between £70,000 – £90,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Software Engineer
Dallas
$190000 - $225000
+ Data Engineering
PermanentDallas, Texas
To Apply for this Job Click Here
Software Engineer
$190,000 – $225,000 + 20% bonus
Multiple US Cities (4 days a week in office)
This is an opportunity to join a highly visible innovation team building AI-enabled products that directly influence major investment decisions. You’ll work on greenfield technology, partner closely with senior stakeholders, and help shape the future of predictive analytics within a data-rich business environment.
THE COMPANY
They are a large, established organisation operating at significant scale across the United States, with a strong focus on technology, data, and innovation. Their teams are investing heavily in AI, machine learning, and predictive analytics to transform how business decisions are made. The innovation function operates with the agility of a start-up while benefiting from the resources and backing of a large enterprise. You will join a collaborative team of software engineers, data scientists, and AI specialists working on high-impact products used by senior business leaders.
THE ROLE
As a Software Engineer, you will join a high-impact AI and predictive analytics team building a greenfield investment platform, combining Python, React and machine learning to influence multi-billion-dollar business decisions in a start-up environment backed by a major enterprise.
Specifically, you can expect to be involved in the following:
- Build and enhance a full-stack investment analytics platform used by key business stakeholders.
- Develop scalable backend services using Python and modern frontend applications using React and TypeScript.
- Design and implement AI-enabled workflows, tools, and integrations that improve decision-making processes.
- Partner closely with Product, Design, Data Science, and business teams to identify problems and deliver solutions.
- Contribute to architectural decisions and help establish best practices for a growing engineering function.
- Surface machine learning and predictive analytics insights through intuitive user experiences.
- Improve development processes, testing frameworks, and deployment pipelines.
- Work in a fast-paced environment where you can take ownership from concept through to production.
SKILLS AND EXPERIENCE
The successful Software Engineer will have the following skills and experience:
- Strong commercial experience in full-stack software engineering.
- Expertise in Python with experience building scalable backend systems and APIs.
- Strong frontend development experience with React, JavaScript, or TypeScript.
- Experience building production-ready software in start-up, scale-up, fintech, or technology-led environments.
- Exposure to AI, machine learning, LLM applications, AI agents, or predictive analytics products.
- Experience delivering greenfield or 0-to-1 product development initiatives.
- Ability to balance technical excellence with product thinking and business impact.
- Strong stakeholder management and communication skills.
- Experience with cloud platforms such as Azure or AWS.
- Exposure to machine learning frameworks such as TensorFlow, Scikit-learn, or similar is beneficial.
BENEFITS
The successful Software Engineer will receive the following benefits:
- Salary between $190,000 – $225,000 – depending on experience
- Annual bonus of up to 20%
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior Consultant – Research Strategy
London
£70000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Consultant, Strategy & Insights
London (Hybrid) | £70,000 – £100,000 + Bonus + Benefits
Join a growing boutique strategy consultancy that helps leading technology businesses turn customer insight and market research into commercial action. You’ll lead high-profile B2B technology projects, work directly with senior stakeholders, and play a key role in shaping strategic recommendations.
The Company
They are a specialist strategy and insights consultancy focused on the technology sector. Working with global clients, they combine research, customer insight and commercial thinking to solve complex growth, proposition and go-to-market challenges. Their collaborative environment offers direct exposure to leadership and strong progression opportunities.
The Role
- Lead strategy and insight projects across the B2B technology space
- Design and deliver qualitative research programmes
- Conduct stakeholder and customer interviews
- Turn insights into clear commercial recommendations
- Present findings to senior client stakeholders
- Manage project delivery, timelines and budgets
- Support junior team members and contribute to business growth initiatives
- Help develop AI-enabled products and consulting solutions
Your Skills & Experience
- Strong experience in strategy, insights, market research or consulting
- B2B technology sector expertise
- Qualitative research and analysis skills
- Experience managing clients and presenting to senior stakeholders
- Ability to translate research into actionable business recommendations
- Commercial and entrepreneurial mindset
What They Offer
- £70,000 – £100,000 base salary
- Performance bonus and equity scheme
- Private medical insurance and pension
- Hybrid working (3 days in the office)
- Learning and development support
- Clear progression towards Associate Director
How to Apply
Apply today to discuss this Senior Consultant opportunity in more detail.
To Apply for this Job Click Here
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