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 Marketing Analyst
€60000 - €90000
+ Advanced Analytics & Marketing Insights
PermanentNetherlands
To Apply for this Job Click Here
Senior Marketing Data Analyst
Amsterdam, Netherlands
€70,000 to €100,000 base salary plus bonus
This role stands out for its balance of hands on technical depth and real commercial impact. You will work in a highly autonomous analytics position where the focus is on building robust, modern data solutions rather than maintaining legacy reporting. It is a strong opportunity if you want to deepen your technical capability while staying close to the business decisions your work supports.
The Company
They are a large, digitally driven organisation operating in a complex commercial environment with a strong focus on data informed decision making. Analytics plays a critical role across multiple business areas, with teams embedded close to stakeholders. The culture values practical problem solving, ownership, and continuous improvement in how data is used across the organisation.
The Role
You will sit within a commercial analytics domain, working closely with both analytics peers and technically minded business stakeholders. The role combines delivery focused analytics with building foundations where no mature analytics pipeline yet exists.
- Transform and combine multiple data sources from pipelines, data lakes and standard tables
- Analyse and interpret marketing and commercial data to drive deeper understanding rather than surface level reporting
- Build and migrate analytics pipelines and contribute to improvements in underlying data tooling
- Deliver analytics outputs to fixed deadlines while adapting to changing business needs
- Ensure data quality, reliability and consistency across analytical outputs
- Work office first, typically splitting time between the analytics team and the supported business team
Your Skills & Experience
- Strong Python coding capability used in analytics or data environments
- Someone who has a focus on Marketing projects
- Also marketplace experience preferred
- Solid SQL skills and comfort working with complex datasets
- Fundamental technical data skills and a modern analytics mindset
- Experience combining multiple data sources and working close to raw data
- Ability to translate technical findings into clear business insights
- Comfortable working without a fully established analytics pipeline
- Proactive, self directed and confident working with technical peers
Desirable experience includes PySpark, Tableau or Looker exposure, and applied use of AI within analytics workflows.
What They Offer
- Base salary between €70,000 and €100,000 including holiday allowance
- Office first working model based in Amsterdam
- Visa sponsorship available
- High autonomy and the chance to shape analytics direction
- Clear scope to grow technical depth and influence in a business critical role
How to Apply
Apply now to explore this opportunity further and discuss how your technical analytics experience could make an impact.
To Apply for this Job Click Here
Senior Collections Analytics Manager
London
£90000 - £120000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Senior Collections Analytics Manager
London
£90,000 to £120,000 plus benefits.
This is a high impact opportunity to take ownership of a critical area within a fast growing, data led business. You will shape collections and recoveries strategy, influence core commercial outcomes, and partner directly with senior leadership. With strong backing, proven profitability, and international expansion underway, this role offers both immediate impact and long term career growth.
The Company
They are a high growth, data driven organisation focused on delivering innovative financial solutions to both consumers and businesses. With a strong emphasis on sustainability and responsible business practices, they are building a scalable model supported by leading institutional investors. Having recently achieved profitability, they are now entering a new phase of growth, expanding internationally and strengthening their analytics capability. The team attracts talent from leading fintech and data environments and places analytics at the centre of decision making.
The Role
You will lead strategy and analytics across collections and recoveries, owning performance and driving continuous improvement through data.
- Develop and optimise collections and recoveries strategies to improve performance and unit economics
- Use advanced SQL to interrogate complex, multi source datasets and identify actionable insights
- Partner with operations, finance, product, and engineering teams to deliver data driven solutions
- Own key initiatives across customer journeys, operational processes, and partner strategy
- Translate analysis into clear recommendations that influence senior stakeholders
- Manage and develop a direct report while contributing to the wider analytics function
- Support broader strategic projects across both consumer and business segments
Your Skills and Experience
- Strong commercial experience in collections, credit risk, lending, or related analytics environments
- Advanced SQL capability, with confidence working directly with complex and varied data sources
- Proven track record of using data to drive decision making and measurable business outcomes
- Experience balancing commercial trade offs across multiple stakeholders
- Comfortable working cross functionally in a fast paced environment
- Exposure to Python or similar tools is beneficial but not essential
- Experience within fintech, financial services, or other data rich industries is advantageous
What They Offer
- Salary of £90,000 to £120,000
- Hybrid working, typically three days per week in the London office
- Opportunity to work with a high calibre leadership team in a scaling business
- Strong career progression within a growing analytics function
- Exposure to high impact, strategic work across multiple markets
- Competitive benefits package including equity potenti
To Apply for this Job Click Here
Data Programme Manager
London
£650 - £750
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Data Programmes Manager
6-Month Contract | Inside IR35 | £650-£750/day
London ideally (3 days per week)
The Role
They are now looking for a Data Programme Manager to take ownership of a portfolio of critical data initiatives and drive them through to delivery. This is a hands-on leadership role, stepping in post-strategy (delivered by a top consultancy) to bring structure, pace, and execution.
You’ll be responsible for orchestrating multiple workstreams-including Asset Data, Data Lakehouse implementation, and Data capability uplift-ensuring they are aligned, governed, and delivering measurable business value.
What You’ll Be Doing
- Lead multiple concurrent data programmes end-to-end, from definition through to delivery
- Translate strategy into execution across key initiatives, including data lakehouse rollout
- Establish clear governance, prioritisation frameworks, and delivery roadmaps
- Own programme structure, including milestones, scope, and dependencies
- Manage budgets, resource planning, and offshore delivery partners
- Align senior stakeholders across Data, Technology, and the business
- Drive adoption-ensuring business users can access, trust, and use data effectively
- Deliver clear reporting across risks, progress, and outcomes
Key Outcomes (First 6 Months)
- Fully defined and agreed programme scopes and priorities
- Delivery roadmap for the data lakehouse and asset data integration
- Strong governance model and delivery cadence in place
- Improved stakeholder alignment across technical and business teams
- Tangible progress toward integrating asset data into the lakehouse
- Increased business engagement and data adoption
What We’re Looking For
Essential Experience
- Proven track record delivering complex, multi-stream data programmes
- Strong experience in data lakehouse or data warehouse implementations or migrations
- Background working in B2B asset-heavy industries (e.g. real estate, Housing, construction, infrastructure)
- Experience moving from strategy into execution
- Comfortable operating across both strategic planning and hands-on delivery
- Strong stakeholder management at senior level
- Experience managing budgets, vendors, and offshore teams
- Ability to bring clarity and structure into ambiguous environments
About You
- Pragmatic, delivery-focused, and outcomes-driven
- Confident and assertive, but collaborative in approach
- Comfortable stepping into ambiguous environments and building structure
- Strong communicator, able to simplify complex data concepts
- Able to challenge constructively without disrupting direction
To Apply for this Job Click Here
Senior Credit Risk Analyst
London
£60000 - £75000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR CREDIT RISK ANALYST
UP TO £60,000-£75,000 PLUS BONUS
LONDON
HYBRID WORKING (2-3 DAYS PER WEEK IN-OFFICE)
Are you looking for an exciting opportunity to join a high-growth, data-led fintech where you can take real ownership of credit strategy and drive commercial impact? This role offers the chance to lead on key lending decisions, working across products to optimise performance through advanced analytics and strategic insight.
THE COMPANY
This organisation is a well-established UK-based digital bank and lending provider, known for its strong growth, customer-centric approach, and innovative use of data. With a broad suite of lending products, they invest heavily in advanced analytics, technology, and data science to stay ahead in the market.
THE ROLE
This role sits within a central credit strategy function, supporting key lending products through data-driven decision-making. You will work on building and optimising credit strategies, influencing business performance, and collaborating cross-functionally.
Specifically, you can expect to be involved in the following:
- Designing and optimising credit strategies and decisioning processes
- Analysing large datasets to identify trends and opportunities for performance improvement
- Developing models and forecasts to support lending, pricing, and commercial decisions
- Partnering with product, data science, and engineering teams to implement strategies
- Monitoring portfolio performance and recommending data-led enhancements
SKILLS AND EXPERIENCE
The successful Senior Credit Risk Analyst will have the following skills and experience:
- Experience in credit risk analytics within consumer lending
- Strong SQL and/or Python skills for data manipulation and analysis
- Ability to interpret data and communicate insights clearly to stakeholders
- Experience working with credit strategy, policy, or decisioning frameworks
- Strong problem-solving skills with a structured and analytical approach
BENEFITS
The successful Senior Credit Risk Analyst will receive a salary up to £60,000-£75,000 as well as a comprehensive benefits package.
To Apply for this Job Click Here
CRM Manager
City of London
£45000 - £48000
+ Advanced Analytics & Marketing Insights
PermanentCity of London, London
To Apply for this Job Click Here
CRM Manager
Up to 48k
3 Days In London (Hybrid)
This is an exciting opportunity to shape how a large digital media business engages with its subscriber base at critical payment and renewal moments. You will play a key role in reducing churn, improving payment success rates, and delivering seamless customer experiences through data-led CRM strategies.
The Company
They are a well-established, consumer-focused organisation operating at scale, with a strong emphasis on digital innovation and customer experience. Their subscription-led model puts CRM and lifecycle engagement at the centre of commercial success. Working cross-functionally across product, marketing, and data teams, they are continually evolving their approach to customer retention and billing communications. The business offers a collaborative environment with strong investment in data-driven decision making.
The Role
- Own and optimise the end-to-end CRM strategy for payment and renewal communications
- Design and deliver cross-channel lifecycle campaigns to support subscription retention
- Build automated journeys to manage failed payments and reduce involuntary churn
- Segment users based on behaviour, billing data, and risk profiles to deliver targeted messaging
- Work closely with product and engineering teams to ensure accurate, real-time data triggers
- Analyse performance metrics such as payment success rates and campaign effectiveness
- Run ongoing A/B testing to improve messaging, timing, and channel performance
Your Skills and Experience
- Commercial experience in CRM, lifecycle, or retention marketing within a subscription-based environment
- Hands-on experience with CRM platforms such as Salesforce Marketing Cloud, Braze, Adobe, or similar
- Strong understanding of customer journeys, automation, and segmentation strategies
- Ability to work with billing or transactional data to inform campaign decisions
- Experience collaborating with cross-functional stakeholders across marketing, product, and data
- Analytical mindset with the ability to translate insights into actionable improvements
What They Offer
- Competitive salary package with performance-related benefits
- Hybrid working model with a collaborative office environment in London
- Access to learning and development resources to support career progression
- Comprehensive benefits including wellbeing support, pension contributions, and lifestyle perks
- Opportunity to make a measurable impact within a high-volume, subscription-led business
How to Apply
If you are interested in building impactful CRM strategies within a subscription environment, apply now to learn more.
To Apply for this Job Click Here
Marketing Analyst
Swindon
£45000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentSwindon, Wiltshire
To Apply for this Job Click Here
Marketing Analyst
Swindon – Hybrid
Up to 50k
This is an opportunity to join a data driven, consumer focused business where marketing decisions are led by experimentation and customer insight. The role stands out for its strong focus on segmentation, testing strategy, and improving customer lifetime value across both digital and offline channels.
The Company
They are a well established organisation operating across multiple customer touchpoints, combining digital and physical experiences. Their marketing function is highly collaborative, with a clear emphasis on data led decision making and continuous optimisation. They are investing in advanced analytics capabilities to better understand customer behaviour and drive sustainable growth. The environment is fast paced, commercially focused, and centred around measurable impact.
The Role
You will work closely with marketing and CRM teams to drive performance through experimentation, audience strategy, and deep customer analysis.
- Develop and refine customer segmentation to improve targeting and personalisation across acquisition and CRM
- Design, run, and evaluate experiments to optimise campaigns, messaging, and audience strategies
- Build frameworks to measure incrementality and understand true marketing impact
- Analyse customer behaviour across the lifecycle to identify opportunities to increase retention, frequency, and value
- Identify high value customer segments and support strategies that maximise customer lifetime value
- Partner with channel teams to optimise performance across paid media and CRM
- Use SQL to analyse large datasets and generate actionable insights
- Translate complex results into clear recommendations that influence marketing decisions
Your Skills and Experience
- Strong commercial experience in marketing or customer analytics
- Expertise in customer segmentation
- Experience designing and evaluating experiments, including A/B testing and incrementality
- Solid understanding of customer lifetime value and lifecycle strategy
- Proficiency in SQL
- Desired experience using Python or R for analysis
- Experience working with marketing data across channels such as paid media and CRM
- Ability to communicate insights clearly to both technical and non technical audiences
- A proactive, test and learn mindset with strong attention to detail
What They Offer
- 3 days in office in Swindon
- Opportunity to shape experimentation and segmentation strategy within a growing analytics function
- Progression opportunities within a data led business
How to Apply
If you are interested in applying, please submit your CV to learn more about this opportunity.
To Apply for this Job Click Here
Lead Data Scientist
London
£450 - £480
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Lead Data Scientist
England
£450-£480 Per Day, Outside IR35
Remote
Immediate Start
The Company
They are a specialist organisation working at the forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors.
The Role and Deliverables
You will take ownership of end-to-end data science delivery, from problem definition through to deployment in live environments.
* Design, build, and deploy machine learning models within Pega-based decisioning platforms.
* Lead model development across feature engineering, training, validation, and ongoing performance monitoring.
* Work closely with application and logic developers to embed models into operational decision workflows.
* Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases.
* Design and run experiments, including A/B testing, to quantify business impact.
* Provide technical leadership and mentoring to other data scientists, while engaging confidently with client stakeholders.
Your Skills and Experience
* Strong experience delivering data science solutions in client-facing or consulting environments.
* Advanced capability in Python and or R, with hands-on use of modern machine learning libraries.
* Deep understanding of statistical modelling, experimentation, and model evaluation techniques.
* Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure.
* Proven ability to communicate complex technical concepts to non-technical audiences.
* Experience with Pega Customer Decision Hub and Adaptive Decision Manager in production environments is highly desirable.
* Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous.
* Familiarity with MLOps practices and model monitoring frameworks is beneficial.
How to Apply
If you are looking for a senior data science role where you can combine technical depth with real client impact, apply now to learn more.
To Apply for this Job Click Here
MLOps Engineer
London
£550 - £650
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
MLOps Platform Manager
London
Rate: £550-£650 Outside IR35 Per Day
Work Type: Fully remote
Start: ASAP
The Company
They are a well established organisation with a strong enterprise data estate and a clear commitment to using data and AI responsibly at scale. The business operates in a complex environment where reliability, security and governance are essential. Data, analytics and machine learning teams work closely together, supported by a central platform function focused on operational excellence.
The Role and Deliverables
- Own the day to day operation of Palantir platforms and associated MLOps services, ensuring availability, performance and a strong user experience.
- Establish and run service management processes including incident, problem and change management, supported by clear documentation and runbooks.
- Define and embed standard MLOps patterns covering model development, deployment, monitoring and lifecycle governance.
- Lead platform releases and upgrades, including planning, testing, communication and rollback where required.
- Implement and maintain security, risk and compliance controls for data and machine learning workloads.
- Manage the platform roadmap, cost optimisation activities and key supplier relationships.
Your Skills & Experience
- Strong experience operating Palantir platforms in production, or comparable enterprise data platforms, with ownership of platform operations.
- Proven capability delivering MLOps practices end to end, including CI/CD, automation, monitoring and model governance.
- Experience working closely with security, risk and governance teams to evidence controls and support audits.
- Confident stakeholder management skills, able to balance delivery speed, cost and risk across technical and non technical teams.
- A service owner mindset with a focus on stability, continuous improvement and enabling delivery teams.
How to Apply
Apply now to discuss this contract opportunity and how it could align with your experience.
To Apply for this Job Click Here
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