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Digital Analytics Implementation Specialist

London | Hybrid – 3 days per week in the office
Salary: Up to £60,000 + bonus and benefits

We’re partnering with a leading global digital entertainment business to recruit a Digital Analytics Implementation Specialist to join its growing analytics team.

This is an exciting opportunity to contribute to a major digital analytics transformation, improving tracking infrastructure and data quality across a range of digital products.

The Role

• Implement and maintain digital tracking across web platforms.

• Support data layer development, tagging and tracking QA.

• Identify and resolve tracking issues to improve data accuracy.

• Work closely with Product, Analytics and Marketing Technology teams.

• Contribute to the development of measurement strategies and tracking standards.

About You

• Experience in digital analytics implementation or web instrumentation.

• Strong knowledge of Adobe Analytics and JavaScript.

• Experience with data layers, tag management and debugging.

• A detail-oriented approach with strong problem-solving skills.

• Comfortable working in a fast-paced, evolving environment.

Experience with Adobe Web SDK, GA4 or server-side tracking would be advantageous.

What’s on Offer?

• Salary up to £60,000 plus a 10% bonus.

• Hybrid working, with 3 days per week in the office.

• Pension, healthcare benefits and discounted entertainment offers.

• The opportunity to work on a significant analytics transformation programme using modern technologies.

Interested in taking the next step in your digital analytics career? Get in touch to find out more.

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To Apply for this Job Click Here

Senior Product Analyst

London (Hybrid – 2 days per week in the office)
Salary: Up to £75,000 + benefits

We’re partnering with an exciting global digital media and technology business to recruit a Senior Product Analyst to join its growing analytics team.

Operating at the intersection of digital content, technology and consumer engagement, the business reaches millions of users through a portfolio of well-established online brands and products.

The Role

This is an excellent opportunity for a highly analytical, SQL-focused professional looking to develop further into Product Analytics. You’ll work with large-scale digital and customer datasets to understand user behaviour, improve engagement and help shape the future of digital products.

Working closely with Product, Engineering and wider business teams, you will turn complex data into actionable insights that drive product improvements and better customer experiences.

Key Responsibilities

• Analyse large-scale user and event data using advanced SQL.

• Understand audience behaviour, engagement patterns and customer journeys.

• Identify key user segments, cohorts and opportunities to improve retention.

• Support event tracking, measurement and user identity analysis.

• Contribute to A/B testing, experimentation and feature performance analysis.

• Partner with Product and Engineering teams to improve digital experiences.

• Translate analytical findings into clear recommendations for stakeholders.

• Explore opportunities to use AI tools to improve analytical workflows.

About You

• Strong, hands-on SQL skills, with experience querying large datasets.

• Background in digital, customer, audience or user analytics.

• Experience working with behavioural data, customer journeys or engagement metrics.

• Comfortable working across multiple analytical challenges in a fast-paced environment.

• Strong communication skills and the ability to turn data into meaningful business recommendations.

• Naturally curious, commercially minded and keen to move closer to Product Analytics.

Experience with BigQuery, GCP, Snowflake, GA4 or other cloud data platforms and digital analytics tools would be advantageous. Exposure to A/B testing and product experimentation is also beneficial.

What’s on Offer?

• Salary of up to £75,000, plus benefits.

• Hybrid working, with 2 days per week in a London office.

• The opportunity to work with large-scale digital data and millions of users.

• A broad, hands-on analytical role with scope to develop towards Product Analytics.

• Close collaboration with Product and Technology teams.

• The chance to make a tangible impact on user engagement and product development.

If you’re a strong SQL analyst with a background in digital or customer analytics and are looking for your next step towards Product Analytics, we’d love to hear from you.

Find out more and apply via the link below!

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HEAD OF FRAUD
LONDON | £110,000 – £120,000 + EQUITY
This is an exciting opportunity to join a fast-growing consumer lending business as their first dedicated fraud leader. You’ll take ownership of fraud strategy across the organisation, helping to build a more advanced, data-driven fraud capability while leveraging AI and analytics to tackle increasingly complex fraud threats.

THE COMPANY
They are a scaling fintech operating within the consumer lending space, using technology and data to create a seamless digital customer experience. Following continued growth and recent investment, the business is entering an important phase of its journey with a strong focus on sustainable growth and operational excellence.
With a lean, high-performing culture and a collaborative environment, they are looking for an experienced fraud professional to take ownership of fraud strategy and help shape the future direction of the function.

THE ROLE
* Own fraud strategy across the customer lifecycle, with a particular focus on application and identity fraud
* Develop and optimise fraud rules, controls, and decisioning frameworks
* Build a sophisticated fraud analytics capability to identify emerging risks and opportunities
* Use data, machine learning, and AI-driven approaches to improve fraud detection and prevention
* Partner with Credit, Product, Engineering, and Operations teams to implement effective fraud controls
* Assess new technologies and contribute to the development of AI-enabled fraud solutions
* Deliver fraud insights, reporting, and recommendations to senior stakeholders
* Act as the fraud subject matter expert across the business in a highly visible individual contributor role
* Help define the long-term fraud roadmap within a growing lending organisation

YOUR SKILLS & EXPERIENCE
* Strong commercial experience within fraud analytics, fraud strategy, or financial crime analytics
* Experience within lending, fintech, payments, banking, or other regulated financial services environments
* Proven track record of using data to identify, investigate, and prevent fraud
* Advanced SQL skills and the ability to work hands-on with large datasets
* Python experience and exposure to statistical modelling, machine learning, or data science techniques
* Understanding of modern AI applications within fraud detection and decisioning
* Strong analytical and problem-solving skills
* Numerate academic background
* Excellent communication skills and the ability to influence stakeholders across the business

WHAT THEY OFFER
* £110,000 – £120,000 base salary
* Equity package
* Hybrid working model with three days per week in the London office
* Exposure to innovative AI and analytics initiatives
* High levels of autonomy and visibility with senior leadership
* Excellent career development opportunities as the business continues to grow

HOW TO APPLY
Please register your interest by sending your CV through the Apply link.

To Apply for this Job Click Here

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Senior Credit Risk Manager
London | 110k
This is a rare opportunity to shape the future of consumer lending within a fast-growing financial services business. Backed by significant investment and reporting directly into senior leadership, you will take ownership of high-impact initiatives that redefine lending capabilities, unlock new revenue opportunities, and deliver measurable commercial value.

The Company
This established UK fintech operates within the consumer lending space and has a strong track record across credit risk management, lending performance, and customer outcomes. With a solid operational foundation already in place, the business is now investing heavily in innovation and strategic growth.
They are focused on developing new lending capabilities, customer propositions, and distribution opportunities that can create a genuine competitive advantage. The environment is entrepreneurial, data-driven, and highly collaborative.

The Role
As Head of Lending Innovation & Credit Strategy, you will lead the development and delivery of transformational lending initiatives from concept through to implementation and business impact.
Key responsibilities include:

• Identifying and owning high-value lending initiatives that drive growth and improve customer outcomes.
• Developing new customer segments, lending propositions, and distribution channels.
• Exploring opportunities across re-lending, cross-sell strategies, and customer lifecycle value.
• Designing innovative credit strategies and lending capabilities.
• Building commercial business cases, modelling opportunities, and assessing strategic trade-offs.
• Taking ownership of initiatives across strategy, pricing, credit design, go-to-market planning, delivery, and BAU transition.
• Collaborating with Credit Risk, Product, Finance, Commercial, and Operations teams to bring ideas to market.
• Influencing senior stakeholders and maintaining accountability for measurable outcomes.
• Driving experimentation, continuous improvement, and innovation across the lending proposition.
• This is a hands-on individual contributor role with significant autonomy and visibility. Success will come from your ability to build, influence, and execute rather than manage a large team.

Your Skills & Experience

• Strong experience within FinTech, consumer lending, credit risk, or a closely related environment.
• Deep understanding of lending products, credit strategy, and commercial decision-making.
• Advanced SQL skills are essential.
• Experience using Python for analysis, modelling, or strategy development is highly desirable.
• Proven ability to develop and deliver new propositions, products, or lending initiatives.
• Strong commercial acumen with the ability to evaluate risk, pricing, and growth opportunities.
• Comfortable operating in a fast-paced, entrepreneurial environment.
• Excellent stakeholder management and influencing skills.
• A proactive, innovative mindset with a track record of taking ownership and delivering measurable impact.

What They Offer

• Performance-related bonus.
• Comprehensive benefits package.
• Direct exposure to executive leadership and strategic decision-making.
• Opportunity to own and shape major lending initiatives from inception to launch.
• High levels of autonomy and visibility across the business.
• Clear opportunity to influence the future direction of a growing fintech organisation.

How to Apply
If you are a commercially minded lending or credit professional with strong SQL skills and a passion for building innovative lending solutions, please apply with your CV to discuss this opportunity in more detail.

To Apply for this Job Click Here

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APPLIED DATA SCIENTIST, FRAUD PREVENTION

£55,000 – £65,000

LONDON (HYBRID)

This is an exciting opportunity to join a growing FinTech with an innovative approach to lending. You’ll play a key role in building and improving fraud prevention capabilities, working on high-impact machine learning projects that directly influence customer outcomes, risk strategy, and business performance.

THE COMPANY

Our client is a forward-thinking FinTech with a people-focused culture that prioritises teamwork and continuous development. Data is at the heart of their decision-making, and they are continuing to invest in advanced analytics to support growth and innovation. This role sits within a collaborative data science team where you will have the opportunity to make a tangible impact from day one.

THE ROLE

* Develop and deploy fraud detection, identity verification, and fraud scoring models

* Analyse large and complex datasets to identify fraud trends, risks, and opportunities

* Evaluate new data sources, machine learning techniques, and fraud prevention tools

* Build monitoring and reporting solutions to track model and fraud performance

* Collaborate with Product, Engineering, Risk, and Data teams to deliver business-critical initiatives

* Help shape the future direction of fraud analytics across the organisation

YOUR SKILLS AND EXPERIENCE

* Strong commercial experience in fraud analytics, fraud prevention, or financial crime

* Hands-on experience developing machine learning models using Python

* Strong SQL and data analysis capabilities

* Knowledge of statistical modelling and predictive analytics techniques

* Excellent communication skills with the ability to influence stakeholders

* Experience within fintech, lending, or financial services would be beneficial

SALARY AND BENEFITS

* £55,000 – £65,000 base salary depending on experience

* Annual bonus scheme

* Contributory pension

* Private healthcare

* Hybrid working model – 2 days in office

HOW TO APPLY

Please register your interest by sending your CV through the ‘Apply’ link.

To Apply for this Job Click Here

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Senior Product Engineer

£115,000 to £140,000 + Equity

Liverpool St., London

This is a rare opportunity to join a well-funded early-stage AI business as one of the first senior engineering hires. You will play a pivotal role in shaping a greenfield AI product, owning technical decisions, influencing the roadmap, and helping build an enterprise-grade platform used by leading organisations.

THE COMPANY

They are an AI startup developing advanced behavioural intelligence technology for enterprise customers. Their platform helps organisations better understand customer behaviours, preferences, and decision-making patterns to improve communications, customer engagement, and product experiences.

Having secured significant early-stage funding, they are now working with major enterprise clients and are focused on scaling their product from proof of concept into wider commercial deployment. With a small, highly experienced team, they offer the opportunity to make a meaningful impact from day one.

THE ROLE

As a Senior Product Engineer, you will take ownership of product development alongside senior leadership, helping transform innovative AI capabilities into a scalable commercial platform.

Specifically, you can expect to be involved in the following:

• Building and scaling a production-grade AI product from the ground up
• Designing and developing APIs and backend services that power enterprise customer integrations
• Owning the LLM application layer, including retrieval-augmented generation (RAG) workflows
• Improving model performance, reliability, evaluation frameworks, monitoring, and cost optimisation
• Working across the stack to deliver customer-facing features and platform capabilities
• Collaborating with stakeholders to translate customer feedback into product improvements
• Establishing engineering best practices across architecture, testing, deployment, and delivery
• Contributing to technical strategy and product roadmap decisions

SKILLS AND EXPERIENCE

The successful Senior Product Engineer will have the following skills and experience:

• Strong commercial experience as a Product Software Engineer or Software Engineer
• Experience building and scaling an LLM-enabled product from concept through to production
• Strong backend engineering expertise, ideally within API-first products
• Experience with Node.js and TypeScript, or a proven ability to transition successfully between technology stacks
• Understanding of RAG architectures, evaluation frameworks, guardrails, monitoring, and model optimisation
• Experience managing token usage, infrastructure costs, and scalability challenges in AI products
• Comfortable working autonomously in a startup or high-growth environment
• Strong product mindset with the ability to make technical and commercial decisions
• Excellent communication and stakeholder management skills
• React experience is beneficial but not essential
• Experience within Financial Services or other regulated industries would be advantageous

BENEFITS

The successful Senior Product Engineer will receive the following benefits:

• Salary between £115,000 – £140,000 – depending on experience
• Equity

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

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Senior AI Engineer

£75,000 – £95,000

King’s Cross, London (1-2 days a week in office)

This is an exciting opportunity for a Senior AI Engineer to play a key role in shaping how AI is embedded across a business. Rather than building standalone proofs of concept, you will develop production-grade AI solutions that directly support core business processes, delivering measurable value at scale.

THE COMPANY

They are a well-established organisation investing heavily in AI and advanced technology. With a focus on innovation, they are building scalable solutions that enhance operational efficiency and customer outcomes. Their environment combines strong engineering practices with the opportunity to work on high-impact AI initiatives. You will join a collaborative team where technical expertise and continuous improvement are highly valued.

THE ROLE

As a Senior AI Engineer, you will design and deliver production-ready AI solutions using LLMs and agentic systems, embedding AI into core business processes to drive measurable impact.

Specifically, you can expect to be involved in the following:

• Design and implement end-to-end AI systems that deliver business impact.
• Build and deploy LLM-powered and agent-based solutions from concept through to production.
• Contribute to technical architecture and engineering best practices.
• Develop reusable components, frameworks, and patterns across multiple AI use cases.
• Make informed decisions on models, tooling, infrastructure, and system design.
• Ensure AI solutions are scalable, observable, secure, and production-ready.
• Support evaluation, monitoring, and governance processes for deployed AI systems.
• Provide technical guidance and mentorship to engineers contributing to AI projects.

SKILLS AND EXPERIENCE

The successful Senior AI Engineer will have the following skills and experience:

• Strong commercial experience delivering production-grade AI systems.
• Expertise in generative AI, large language models, prompting, orchestration, and evaluation.
• Experience designing and implementing complex AI solutions across multiple domains.
• Knowledge of agentic AI systems and multi-step workflows.
• Strong software engineering fundamentals, including APIs, system design, and cloud-native architectures.
• Ability to solve problems in evolving and ambiguous environments.
• Experience influencing engineering standards and contributing to technical excellence.
• Exposure to AI platforms, reusable frameworks, LLMOps, or MLOps is advantageous.
• Experience working within enterprise or regulated environments would be beneficial.

BENEFITS

The successful Senior AI Engineer will receive the following benefits:

• Salary between £75,000 – £95,000 – 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

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Senior Software Developer

£110,000 – £160,000

London (5 days a week in office – no flex)

This is an opportunity for a Senior C# Full Stack Engineer to join a high-performing engineering team working on complex, data-intensive systems. You will have significant ownership over technical decisions, contribute to the design of scalable software solutions, and play a key role in delivering projects that have a direct impact on the business.

THE COMPANY

They are a technology-led investment business that leverages advanced analytics, automation, and software engineering to drive decision-making. With a collaborative and highly technical culture, they have grown steadily while maintaining a strong focus on quality, innovation, and employee retention. Engineers are given the autonomy to influence projects, contribute ideas, and work closely with stakeholders across the business.

THE ROLE

As a Senior Software Developer, you will build and enhance high-performance C#/.NET applications, working across greenfield projects, real-time data systems, and complex engineering challenges.

Specifically, you can expect to be involved in the following:

• Designing, building, and optimising high-performance C#/.NET applications
• Leading the delivery of greenfield projects and enhancements to existing platforms
• Contributing to system architecture, design decisions, and performance optimization
• Developing scalable solutions that process and manage large volumes of data
• Collaborating with highly skilled engineers in a cross-functional environment
• Taking ownership of projects and contributing to ideas throughout the development lifecycle
• Mentor and support other developers while promoting engineering best practices

SKILLS AND EXPERIENCE

The successful Full-Stack Software Developer will have the following skills and experience:

• Strong commercial experience with C# and .NET
• Experience building backend systems and full stack applications
• JavaScript and modern frontend frameworks
• A strong understanding of software engineering fundamentals, architecture, and design principles
• Experience working with relational databases such as SQL Server or similar
• The ability to communicate technical concepts clearly and effectively
• A proactive approach to learning and professional development
• An interest in sports and a general understanding of how major sports are played and structured

BENEFITS

The successful Full-Stack Software Developer will receive the following benefits:

• Salary between £110,000 – £160,000 – 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

To Apply for this Job Click Here

Data Scientist

£45,000 – £55,000

Merseyside (3 days a week in office)

This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You’ll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment.

THE COMPANY

This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you’ll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business.

THE ROLE

As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases.

Specifically, you can expect to be involved in the following:

• Building and deploying predictive machine learning models
• Developing customer segmentation and customer lifetime value models
• Creating forecasting solutions to support business planning
• Delivering propensity and churn models to improve customer engagement
• Translating complex analytical findings into clear business recommendations
• Collaborating with engineering teams to support model deployment and operationalisation
• Supporting the development of a modern Data Science platform
• Working with cloud-based machine learning tools and technologies
• Engaging directly with stakeholders to understand challenges and define analytical solutions

SKILLS AND EXPERIENCE

The successful Data Scientist will have the following skills and experience:

• Strong commercial experience in Data Science and machine learning
• Advanced Python and SQL skills
• Experience using statistical modelling and predictive analytics techniques
• Knowledge of machine learning algorithms such as XGBoost and related ensemble methods
• Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment
• Ability to communicate technical concepts clearly to non-technical audiences
• Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases
• Exposure to cloud environments such as Azure or GCP is beneficial
• Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous

BENEFITS

The successful Data Scientist will receive the following benefits:

• Salary between £45,000 – £55,000 – 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

To Apply for this Job Click Here

Data Scientist

£45,000 – £55,000

Merseyside (3 days a week in office)

This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You’ll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment.

THE COMPANY

This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you’ll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business.

THE ROLE

As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases.

Specifically, you can expect to be involved in the following:

• Building and deploying predictive machine learning models
• Developing customer segmentation and customer lifetime value models
• Creating forecasting solutions to support business planning
• Delivering propensity and churn models to improve customer engagement
• Translating complex analytical findings into clear business recommendations
• Collaborating with engineering teams to support model deployment and operationalisation
• Supporting the development of a modern Data Science platform
• Working with cloud-based machine learning tools and technologies
• Engaging directly with stakeholders to understand challenges and define analytical solutions

SKILLS AND EXPERIENCE

The successful Data Scientist will have the following skills and experience:

• Strong commercial experience in Data Science and machine learning
• Advanced Python and SQL skills
• Experience using statistical modelling and predictive analytics techniques
• Knowledge of machine learning algorithms such as XGBoost and related ensemble methods
• Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment
• Ability to communicate technical concepts clearly to non-technical audiences
• Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases
• Exposure to cloud environments such as Azure or GCP is beneficial
• Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous

BENEFITS

The successful Data Scientist will receive the following benefits:

• Salary between £45,000 – £55,000 – 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