To Apply for this Job Click Here

Product Manager, Payments and Cards
London, Hybrid
Salary up to £110,00

This is an opportunity to take ownership of high impact payments and card products within a large scale consumer mobile platform. You will shape how millions of users experience digital payments, working on complex, regulated products while maintaining a strong focus on usability and performance.

The Company
They are a global consumer technology business operating a widely used mobile application with a growing ecosystem of digital services. Payments are a strategic priority, with a rapidly expanding wallet and card offering live across multiple international markets. The organisation combines the pace of a scale up with the reach and stability of a well established global platform.

The Role

• Own and develop card based product features including virtual cards and card lifecycle management
• Lead the design and optimisation of card to card payments and transaction journeys
• Drive integrations with external payment platforms such as mobile wallets
• Improve end to end payments experiences with a focus on security, scalability and performance
• Monitor transaction success rates and use data to inform product decisions
• Collaborate closely with engineering and cross functional teams across distributed locations
• Support the continued rollout and scaling of payments products across new markets

Your Skills and Experience

• Strong commercial product management experience within payments, fintech or card products
• Proven ownership of payment flows, wallets or card functionality in a consumer facing product
• Experience working on high usage B2C mobile applications
• Solid understanding of card issuing, transaction flows and payments journeys
• Data driven approach to product development and performance optimisation
• Comfortable working in regulated environments and alongside compliance requirements

How to Apply
Apply now to find out more about this product management opportunity in payments and cards.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Forward Deployed Engineer – Knowledge graphs, LLMs and RAG
Remote, UK. £90,000 to £130,000 base salary.

If you enjoy taking advanced AI systems out of the lab and into real-world enterprise environments, this role gives you the chance to do exactly that. You will work directly with highly technical customers, shaping how cutting edge NLP, knowledge graph, and LLM technology is deployed at scale, while still remaining deeply hands-on as an engineer.

The Company
They are a Series A, AI-first TechBio organisation building data science products that support faster and more informed drug discovery. Their platform processes vast volumes of scientific literature and structures it into high value, production-ready datasets used by global pharmaceutical organisations. The business operates fully remotely and brings together expertise across engineering, data science, and biomedical domains.

The Role

• You will lead technical delivery for enterprise customers, owning implementations from initial trials through to production deployments.
• You will work closely with customer engineering and data science teams to understand their environments and design robust AI driven integrations.
• You will design and build solutions using retrieval systems, RAG architectures, agent based workflows, and APIs.
• You will contribute to technical scoping during pre-sales, helping shape feasible and scalable solutions.
• You will identify recurring customer needs and feed these back into the core platform, supporting productisation.
• Alongside customer work, you will contribute directly to internal platform and engineering initiatives.

Your Skills and Experience

• Strong commercial experience deploying NLP or LLM powered systems into production environments.
• Hands-on experience with retrieval augmented generation, vector databases, and retrieval or recommendation systems.
• Practical experience building, debugging, and operating end to end LLM workflows.
• A solid engineering mindset with comfort working across data platforms, APIs, and cloud infrastructure.
• Exposure to graph databases and modern data warehouses is highly beneficial.
• Confidence working in customer facing settings, explaining technical trade-offs and collaborating across technical and commercial stakeholders.

What They Offer

• Base salary between £90,000 and £130,000, depending on experience.
• Fully remote working with flexibility and autonomy.
• The opportunity to work on high impact AI products used by leading enterprise customers.
• Clear scope to influence product direction and grow alongside a scaling, venture backed business.
• Additional benefits and development support within a collaborative, engineering led culture.

How to Apply
Apply to discuss how your experience aligns with this AI Forward Deployed Engineer opportunity and the impact you could make.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist

Salary
£60,000-£75,000 + bonus

Location + work pattern
London or Leicester | Hybrid working (1 day per week in the office)

THE COMPANY

• A well-established UK general insurance provider with a strong reputation for advanced analytics and data-driven decision making.
• The business operates at scale across multiple personal lines products and continues to invest significantly in modern data platforms and machine learning.
• Data science sits at the core of how the organisation prices risk and drives commercial strategy.

THE ROLE

This is a senior individual contributor role within an innovative pricing function, focused on developing and evolving advanced predictive models. You will work on complex, high-impact modelling problems and help shape the next generation of pricing approaches.
Specifically, you can expect to be involved in:

• Building and enhancing pricing and risk models using large, complex and messy datasets.
• Developing predictive and residual models to better understand expected versus actual outcomes.
• Exploring novel data sources, including geospatial and alternative datasets, to improve customer selection and pricing accuracy.
• Supporting the progression of existing models from early versions into more mature, production-ready solutions.
• Mentoring junior team members and contributing to best practice across the data science community.

YOUR SKILLS AND EXPERIENCE

• Strong experience in predictive modelling using Python and SQL.
• Hands-on experience with modern machine learning techniques such as gradient boosting methods.
• Proven ability to work with large-scale, complex datasets and translate ambiguity into clear analytical approaches.
• Experience deploying models into production environments within a cloud-based platform.
• Ability to communicate technical concepts clearly and support less experienced colleagues.

THE BENEFITS

• Performance-related bonus.
• Car allowance.
• Private medical insurance and health & wellbeing support.
• Generous holiday allowance with the option to buy or sell additional days.
• Pension contribution with employer matching.
• Life assurance, income protection and additional optional benefits.

THE PROCESS

• Initial 30-minute interview focused on experience and approach.
• Technical case study with presentation and discussion.
• Competency-based interview covering leadership and delivery scenarios.
• Final-stage interview focused on team fit and senior stakeholder engagement.

HOW TO APPLY

Please register your interest via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Credit Risk Analyst

Salary
£60,000-£66,000

Location + work pattern
Leicester | Hybrid working (typically 1-2 days per week in the office)

THE COMPANY

• A UK-based consumer lender with a growing analytics and credit risk capability.
• Known for investing in data, modern decision systems, and professional development.
• Operates with a collaborative culture and clear progression opportunities within analytics.

THE ROLE

This is a senior-level credit risk role sitting within an established analytics team, positioned between leadership and junior analysts. The role focuses on existing customer management (ECM) while offering exposure to wider portfolio and acquisition work.
Specifically, you can expect to be involved in:

• Developing and enhancing ECM strategy across the lending portfolio.
• Credit limit management, including policy design and customer limit changes.
• Supporting model implementation and the rollout of new behavioural scorecards.
• Portfolio analysis, MI production, and customer trend insight.
• Contributing to cross-team projects, with scope to move into acquisition-focused work over time.

YOUR SKILLS AND EXPERIENCE

• Strong background in consumer lending (e.g. credit cards, personal loans, mortgages).
• Proven experience in ECM or acquisition strategy, including limit or policy work.
• Solid analytical capability with SQL (or a comparable data querying language).
• Ability to communicate insights clearly to both technical and non-technical stakeholders.
• 5+ years’ experience in a credit risk or analytics role, operating at a senior level.

THE BENEFITS

• Clear opportunities for progression within a growing analytics team.
• Exposure to wide-ranging, business-critical projects.
• Supportive environment with a strong focus on learning and development.
• Flexible hybrid working model.

THE PROCESS

• Initial 30-minute interview.
• Technical stage including a coding task, presentation, and competency-based discussion with the wider team.
• Final interview with senior stakeholders, including additional technical questions if required.

HOW TO APPLY

Please register your interest 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 – £48,000

Hybrid – Merseyside (3 days per week in the office)

This is a strong opportunity for a commercially minded Data Scientist to join a business at a

genuine inflection point in its Data and AI journey. You will play a key role in moving the organisation from ad-hoc analytics to a scalable, production-led Data Science capability, with clear backing from leadership and real-world use cases already live.

The Company

They are a large retail organisation undergoing a significant data and AI transformation. With a new customer loyalty programme launching this year, demand for advanced modelling, forecasting and personalisation is growing quickly. The culture is collaborative, inclusive and pragmatic, with a strong focus on delivering value at pace rather than over-engineering solutions. Getting models into production and driving measurable impact is a core priority.

The Role

You will work hands-on within a small but growing Data Science function, partnering closely with the Data Science Lead, another Data Scientist, and wider data and commercial teams.

Key responsibilities include:

• Designing and building customer-focused Data Science use cases such as segmentation, lifetime value modelling and demand forecasting
• Developing, testing and deploying machine learning models end to end, from problem definition through to production
• Contributing to the development of a new Data Science platform and helping shape best practice as the function matures
• Working closely with Data Engineers and Analysts to ensure data quality, scalability and smooth model deployment
• Engaging with commercial and customer stakeholders to translate business problems into practical modelling solutions
• Communicating insights, model outputs and business impact clearly to non-technical audiences

Your Skills and Experience

To succeed in this role, you will bring a practical, business-led approach to Data Science.

Key requirements include:

• Strong commercial experience using Python for Data Science and machine learning
• Solid SQL skills and confidence working with large, complex datasets
• End-to-end Data Science experience, including taking models into production
• Experience applying statistical modelling or machine learning to real business problems
• Confidence working with stakeholders and explaining technical concepts in a clear, credible way

Nice to have:

• Exposure to cloud platforms such as GCP or Azure
• Experience with model deployment tools such as Vertex AI or Azure ML
• Any background in customer analytics, forecasting or personalisation

What They Offer

• Salary of £45,000 to £48,000
• Hybrid working, with three days per week on site in Knowsley
• The chance to help build a Data Science capability from an early stage
• High visibility work tied directly to customer and commercial outcomes
• Clear opportunity to grow alongside the team as Data Science scales across the business

How to Apply

If you are a hands-on Data Scientist looking to work on production-focused, customer-led use cases in a collaborative environment, apply now to find out more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Web Analyst
Up to 46k
London (Hybrid)

This is a hands-on implementation role where you will own digital tracking across web and app platforms. It stands out for its focus on delivery rather than reporting, giving you the opportunity to build and optimise robust tracking solutions while developing in high-demand areas such as app analytics.

The Company
They are a large international retail organisation with a multi-brand portfolio and a strong digital presence across Europe. Their central digital function brings together specialists across UX, content, and online performance, working collaboratively to drive scalable solutions. The analytics and tracking capability operates as an internal agency, supporting multiple brands across different markets. They offer a fast-paced, collaborative environment where technical ownership is encouraged.

The Role

• Own end-to-end tag implementation using Google Tag Manager across web platforms
• Work closely with stakeholders to define tracking requirements and deliver solutions independently
• Build and maintain data layers to support accurate and scalable tracking
• Implement, test and debug tags, triggers and variables to ensure data quality
• Support mobile app tracking initiatives, with exposure to tools such as GA4 and Firebase
• Partner with product, UX and development teams to embed tracking into digital journeys
• Ensure all implementations are compliant with GDPR and cookie consent requirements
• Act as a confident point of contact for non-technical stakeholders, translating requirements into delivery

Your Skills & Experience

• Strong hands-on experience implementing tracking using Google Tag Manager and GA4
• Proven ability to set up tagging directly, rather than purely analysing or reporting
• Solid understanding of data layers, tag configuration and QA processes
• Experience working within GDPR and cookie consent frameworks
• Confident communication skills, with the ability to work across technical and non-technical teams
• Experience in an agency or fast-paced, cross-functional environment is highly beneficial
• Interest in developing skills in mobile app tracking and new analytics tools

What They Offer

• Competitive salary and bonus potential
• Hybrid working model
• Opportunity to gain experience in app tracking and emerging analytics capabilities
• Collaborative team with strong exposure across multiple brands and markets
• Ongoing learning and development within a growing digital function
• Additional benefits including wellbeing support and retail discounts

How to Apply
Apply now to take ownership of digital tracking delivery in a role focused on implementation and technical impact.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Product Analyst
London Hybrid (3 days in office)
Up to £100,000 + benefits

We’re hiring a Lead Product Analyst to join a high-growth, data-driven consumer business operating at scale.

This is a key role within a fast-paced product and analytics environment, focused on improving digital customer journeys, driving experimentation, and supporting product decision-making through data.

What you’ll be doing:
* Leading analysis across product and customer journeys
* Driving insight to improve conversion and user experience
* Supporting experimentation and A/B testing initiatives
* Working closely with Product, Engineering and Data teams
* Analysing customer behaviour, engagement and funnel performance
* Contributing to personalisation and optimisation workstreams
* Translating data into clear, actionable recommendations

What we’re looking for:
✔ Strong SQL and Python skills
✔ Experience in product analytics, experimentation or digital analytics
✔ Strong A/B testing and funnel analysis experience
✔ Commercial mindset with strong stakeholder skills
✔ Experience in fast-paced digital or consumer-focused environments
✔ Exposure to modelling or personalisation work is a plus

Why join?
* High-growth, well-established business with strong momentum
* Strong ownership and visibility across product decisions
* Highly collaborative, data-led environment
* Work on complex digital journeys at scale
* Equity included in the package

Please note:
* Hybrid working (3 days in office) is fixed
* No sponsorship available

Apply or get in touch for more details.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Account Analytics Analyst
London (Hybrid) | Up to £75,000 + benefits

We’re looking for a Senior Account Analytics Analyst to join a high-performing analytics team within a digital marketing environment.

This role is ideal for someone who combines strong technical analytics capability with commercial thinking and stakeholder management experience. You’ll work across multiple client accounts, delivering strategic insights that drive marketing effectiveness and business growth.

What you’ll be doing:

* Analysing large-scale online & offline marketing and consumer datasets
* Delivering strategic insights to improve campaign performance and ROI
* Supporting and interpreting Marketing Mix Modelling (MMM) outputs
* Conducting advanced analysis using SQL, Python and/or R
* Presenting insights and recommendations directly to clients
* Partnering with cross-functional teams across media, sales, product and account management

What we’re looking for:

• 4-6 years’ experience in analytics / marketing analytics / data science
• Strong statistical knowledge (A/B testing, confidence intervals, modelling uncertainty)
• Hands-on MMM or advanced modelling experience
• Strong SQL and Python/R capability
• Experience with Tableau or similar BI tools
• Understanding of digital advertising, attribution and targeting methods
• Excellent communication and client-facing skills

This is a fantastic opportunity to join a commercially focused analytics team where you’ll have real influence across strategy, performance and client delivery.

Apply now or get in touch to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Account Analytics Analyst
London (Hybrid) | Up to £50,000 + benefits

We’re hiring an Account Analytics Analyst to join a fast-paced analytics team working within a digital marketing environment.

This is a great opportunity for someone with strong analytical skills and marketing data experience who enjoys turning complex datasets into clear commercial insights that improve campaign performance.

What you’ll be doing:
* Analysing online & offline marketing and consumer data

• Delivering actionable insights to optimise campaigns and ROI
• Supporting Marketing Mix Modelling (MMM) projects
• Working with SQL, Python or R for hands-on analysis
• Building reports and presenting findings to stakeholders
• Collaborating with media, sales, product and account teams

What we’re looking for:

• 2-4 years’ experience in analytics / marketing analytics
• Strong SQL plus Python or R exposure
• Understanding of digital marketing & campaign performance
• Experience with BI tools such as Tableau
• Strong communication and stakeholder skills
• Analytical mindset with commercial curiosity

Ideal for someone looking to step into a highly commercial, client-facing analytics role with strong progression opportunities.

Apply now or reach out for more information.

To Apply for this Job Click Here

To Apply for this Job Click Here

Digital Data Analyst

London | Hybrid (2 days in office)
Up to £48,000 + benefits

A growing ecommerce and retail brand is looking for a Digital Data Analyst to join its evolving data team and help drive smarter commercial decision-making across digital trading and performance.

This is a hands-on role focused on turning digital and ecommerce data into actionable insight for non-technical stakeholders. You’ll work closely with ecommerce, trading and marketing teams to understand customer behaviour, identify opportunities across the funnel, and build reporting that supports business growth.

The business is currently modernising its data environment and investing heavily in analytics capability, making this a great opportunity for someone who enjoys working in a fast-paced, commercially focused environment where they can have real influence.

What you’ll be doing:

• Building dashboards and reporting in Power BI

• Analysing ecommerce and website performance

• Working with GA4 data to uncover actionable insights

• Supporting digital trading and marketing teams with ad hoc analysis

• Identifying gaps in tracking and data collection

• Translating business questions into clear data requirements for engineering teams

• Presenting findings and recommendations to stakeholders

What they’re looking for:

• Strong experience with GA4 and ecommerce analytics

• Power BI skills including DAX and semantic modelling

• Experience within retail or ecommerce environments

• Understanding of digital funnels and conversion metrics

• Strong communication and stakeholder management skills

• Commercial mindset with a passion for insight generation

Nice to have:

• GTM or data layer exposure

• BigQuery experience

• Python or SQL knowledge

• Exposure to paid media data (Google Ads, Meta etc.)

This is an excellent opportunity to join a business investing heavily in data and digital capability, with plenty of scope to influence how analytics supports commercial decision-making moving forward.

Find out more and apply via the link below!!!

To Apply for this Job Click Here

To Apply for this Job Click Here

Head of Analytics (Financial Services)

London (On-site)
£90,000 – £160,000 + bonus + benefits

We’re hiring a Head of Analytics to lead a centralised analytics function within a fast-growing, data-driven business undergoing significant transformation across analytics, AI, and decisioning.

This is a high-visibility role working closely with senior leadership to drive faster, better, data-led decision making across the organisation.

The Role

You’ll lead a central Analytics & MI team operating as a shared service across Finance, Marketing, and executive stakeholders.

Key focus areas include:

• Moving from reporting to actionable insight
• Embedding AI tools into analytics workflows
• Driving automation and improved data structures
• Supporting rollout of a new decision engine
• Managing priorities across multiple senior stakeholders

This is a player-coach role (50/50 split) – combining leadership with hands-on delivery.

What We’re Looking For

• Experience leading Analytics / MI teams
• Strong ability to turn data into clear commercial insight
• Hands-on technical skills (SQL + Python)
• Experience with modern data tools (e.g. Snowflake, Power BI)
• Exposure to AI tools / automation in analytics
• Strong stakeholder management, including senior leadership

Background

• Open to any data-rich, commercial sector (FS helpful but not essential)
• Suitable for an existing Head of Analytics or a strong Senior Manager stepping up

Why Apply?

• Shape a modern, AI-enabled analytics function
• High exposure to C-suite and business strategy
• Play a key role in business transformation
• Significant scope to influence analytics and AI direction

Find out more and apply via the link below!!!

To Apply for this Job Click Here