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SENIOR DATA ENGINEER

£100,000

REMOTE (LONDON)

An opportunity to join a fast-growing, consumer-focused digital platform that is redefining how modern users interact with data-led products. This is a senior, high-impact role within a scaling data function, offering ownership, influence, and the chance to work on systems operating at significant scale.

THE COMPANY

A well-funded, UK-based digital entertainment business operating within a regulated environment. Founded in London and backed by recent investment, the company has grown quickly by focusing on strong product design, performance, and an engineering-first culture.

The business values scalable solutions over quick fixes, with a collaborative and technically ambitious environment. The role sits within a growing data function that plays a critical part in supporting continued customer growth and increasingly real-time analytics use cases.

THE ROLE

As a Senior Data Engineer, you will be responsible for building and scaling core data infrastructure, working closely with senior data and engineering stakeholders. You’ll be hands-on across multiple initiatives while helping shape platform direction and technical standards.

Key responsibilities include:

• Designing, building, and maintaining scalable, production-grade data pipelines
• Scaling the data platform to support increasing data volumes and user growth
• Developing and owning robust data models used across the business
• Helping build a full staging and testing environment that closely mirrors production
• Improving reliability, monitoring, and observability across data systems
• Supporting a move towards lower-latency analytics from an engineering perspective

This role offers genuine architectural input and is well suited to engineers who enjoy complex technical challenges in a scale-up setting.

YOUR SKILLS AND EXPERIENCE

Required:

• 5+ years’ experience in data engineering or software engineering roles
• Strong Python and SQL capability
• Experience building data platforms in AWS
• Excellent data modelling fundamentals (non-negotiable)
• Experience working in smaller companies or growing environments
• Engineering-first mindset, ideally with a backend or software engineering background

Desirable:

• Experience with Snowflake
• Orchestration tools such as Dagster or Airflow
• dbt for data transformation and modelling
• Apache Iceberg or modern table formats
• Background in high-growth, consumer-facing products

SALARY AND BENEFITS

• Base salary up to £100,000
• Competitive benefits package
• Fully remote working within the UK
• Optional London office access for collaboration
• Opportunity to work on a modern, evolving data stack

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack via the Apply link. All applications will be handled confidentially.

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Are you a Data Scientist who enjoys building real‑world models that drive commercial decisions, not just experimentation? I’m hiring for a Data Scientist to join a leading data and analytics consultancy working across customer insight, marketing, and predictive modelling.

This is a brilliant opportunity to work on high‑impact data products, combining advanced analytics, business understanding, and client‑facing delivery in a collaborative, product‑focused environment.

The company

This is a well‑established data consultancy that sits at the intersection of data provision, analytics, and product development. They work with high‑volume customer data across sectors like utilities, telecoms, financial services, and charities – using data to solve real commercial problems and drive better decisions.

They’ve built out a Customer Intelligence Platform, where data science, analytics, and product teams collaborate to create scalable, reusable data products.

Where you fit

You’ll sit within the Data Science team, working closely with Product Managers, Data Analysts, and subject‑matter experts.

This is a hands‑on modelling role with strong client interaction, where you’ll take problems from discovery through to delivery – combining technical expertise with commercial thinking.

What you’ll be doing

• Build predictive models (often propensity modelling / scoring models) to solve real customer and business problems
• Work directly with clients to understand challenges, run discovery sessions, and shape analytical approaches
• Develop and refine models, including training, testing, and optimisation
• Lead rapid prototyping and proof‑of‑concept work using Databricks notebooks
• Define features, model structures, and scoring outputs for data products
• Translate analytical outputs into clear, actionable insights and presentations for clients
• Contribute to the development of scalable, reusable data products within the platform

Example project

You might build a model that predicts which customers are most likely to repay debt, then segment them to determine the best engagement strategy – using behavioural and demographic patterns to optimise outcomes.

Tech stack

• Python & SQL (essential)
• Databricks (core analytics environment)
• Azure‑based data platform (with flexibility depending on client environments)

What you bring

Must‑haves

• 3+ years experience in data science
• Strong Python and SQL skills
• Experience building and evaluating predictive models
• Understanding of data modelling and feature engineering
• Ability to translate data into clear commercial insight and recommendations
• Confident communicator – comfortable working directly with clients
• Consultancy or client‑facing experience

Nice to have

• Experience with Databricks or cloud platforms (Azure, etc.)
• Background in customer, marketing, or transactional data
• Exposure to industries like telecoms, financial services, or utilities

Why this role

• Work on end‑to‑end data science projects – not just isolated modelling
• Strong balance of technical work and commercial impact
• Opportunity to contribute to product development and innovation
• Exposure to multiple clients, industries, and use‑cases
• Collaborative team environment with analysts, SMEs, and product teams

Working pattern

• Hybrid: 1 day per week in London
• Open to candidates based in the Midlands who can commute weekly
• Additional flexibility for the right candidate
• UK travel to clients may be required depending on project work

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Senior Product Manager
London (Hybrid)
80-100k

We are hiring a Product Manager to take full ownership of a core platform at a pivotal stage of growth. You will lead the roadmap, drive delivery, and embed practical AI into everyday workflows, turning semi‑manual processes into a scalable, intelligent product. This role stands out for its true end to end ownership, high autonomy, and direct impact on how the business operates and grows. You will work closely with users, senior stakeholders, Engineering and Data to deliver meaningful product improvements with visible commercial value.

The Company
We are a founder led, high growth organisation operating in a specialist professional services environment. Technology sits at the centre of how we deliver value, with Product, Engineering and Data working closely alongside client facing teams. Having invested in a strong platform foundation, we are now focused on accelerating product velocity and impact through smarter workflows.
The Role

• Own the full product roadmap and delivery for a core internal and client facing platform
• Translate business and user needs into clear epics, specifications and delivery ready tickets
• Balance new feature development, optimisation work, and technical debt through clear prioritisation
• Act as the day to day product contact for Client Services, Sales and Leadership
• Work closely with users to understand real operational pain points
• Partner with Engineering on feasibility, sequencing and delivery to reduce ambiguity and unblock teams
• Collaborate with Data to ensure alignment with data structure, quality and definitions
• Identify and embed practical AI and LLM use cases across matching, data enrichment and user experience
• Reduce reliance on manual processes and spreadsheets through automation

Your Skills and Experience

• Strong commercial experience owning and delivering a product roadmap in a lean environment
• Proven ability to lead discovery, prioritisation and execution end to end
• Confidence working closely with Engineering and Data teams
• Practical experience applying AI or LLMs to improve real workflows
• Clear communicator able to manage senior stakeholders and make trade off decisions
• Comfortable operating in ambiguous problem spaces and driving delivery

What We Offer

• Competitive salary and comprehensive benefits package
• High autonomy and visibility within a founder led organisation
• True ownership of a critical platform with business wide impact
• Opportunity to apply AI in a practical, valuable way
• Clear scope for progression as the product function continues to grow

How to Apply
Apply now to learn more about this Product Manager opportunity and the impact you could have.

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AI Consultant

Salary
£75,000-£90,000

Location + work pattern
Offices in the north and south of the UK | Hybrid working (3 days per week in the office)

THE COMPANY

This organisation operates as a major UK Credit company supporting businesses across financial services and other consumer-focused sectors to make more informed decisions. Data, analytics and modelling sit at the core of what they do, with a strong focus on responsible and innovative use of advanced analytics.
They are continuing to grow a specialist AI capability within their wider Data & Analytics function to develop next-generation solutions.

THE ROLE

This is a senior consultant-level role within a dedicated AI Lab, focused on applying AI and advanced modelling techniques to real-world client and product challenges. You will work on a broad range of projects, combining hands-on model development with research and innovation.
Specifically, you can expect to be involved in:

• Developing and enhancing AI and machine learning models to support lending and credit decisioning.
• Applying techniques such as scorecards, ML models and emerging AI approaches, including LLMs.
• Researching and prototyping new AI-driven solutions for business and product use cases.
• Working closely with data, analytics and stakeholder teams to translate problems into analytical solutions.
• Communicating complex analytical outputs clearly to non-technical audiences.

YOUR SKILLS AND EXPERIENCE

• Strong background in credit risk modelling within a bank, fintech, or similar regulated lending environment.
• Hands-on experience developing statistical or machine learning models, such as scorecards or predictive models.
• Practical exposure to AI or ML techniques, for example chatbots, LLMs, or advanced ML approaches.
• Solid programming capability in Python and SQL.
• Ability to approach problems analytically and contribute to research-driven projects.

THE BENEFITS

• Opportunity to join a growing AI function working on innovative, high-impact projects.
• Exposure to a wide variety of industries and problem types.
• Strong organisational culture with long-term career development opportunities.
• Competitive salary and benefits package.

THE PROCESS

• Initial interview covering experience, motivations and technical understanding.
• In-person technical and competency stage, including a presentation, coding exercise and discussion.
• Offer

HOW TO APPLY

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

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AI Engineer / Data Scientist

3 days in Leeds or Nottingham

We are working with a leading data and analytics organisation supporting banks and lenders by analysing large‑scale consumer and transactional data.

The Role
You’ll join a specialist AI & Machine Learning team building modern credit risk and decisioning models. The focus is on moving beyond traditional scorecards to advanced ML and AI techniques applied to real‑world lending problems.

Key Responsibilities

• Build and enhance credit risk and lending models
• Apply ML and AI techniques including predictive modelling, clustering, segmentation, and transformer‑based models
• Modernise legacy models using Python‑based ML approaches
• Collaborate with product and engineering teams to deploy models into production

Required Experience

• Background in banking, fintech lending, credit bureaus, or consulting with lending experience
• Hands‑on experience building credit risk models
• Strong Python and SQL skills
• Experience using ML and AI models in regulated environments

Logistics:

• 3 days in office in either Leeds or Nottingham

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Senior Product Manager
Central London (2 to 3 days per week in office) | £80,000 to £100,000 base plus bonus and equity

This is a rare opportunity to take full ownership of a core product at a critical growth stage. You will join a small, ambitious business moving from an MVP into a scalable, client-facing platform, with real autonomy to shape strategy, delivery, and impact from day one.

The Company
They are a founder-led technology business operating at the intersection of data, networks, and decision-making. Their platform connects senior professionals with investment-focused clients, enabling highly curated, high-value introductions. With a growing international footprint and a strong commercial model, they are now investing heavily in product maturity, automation, and AI-driven capabilities.

The Role

• Own the end-to-end product roadmap for a core platform, from discovery through to delivery
• Translate business, client, and user needs into clear product requirements, epics, and priorities
• Lead the shift from internal tooling to a scalable, self-serve, client-facing product
• Reduce reliance on manual and spreadsheet-based workflows through automation and better UX
• Partner closely with Engineering to unblock delivery, manage trade-offs, and address technical debt
• Collaborate with Data teams to align product design with data quality, structure, and AI use cases
• Identify and embed practical AI and LLM-driven functionality into workflows and the product experience
• Act as the day-to-day product contact for commercial teams and senior stakeholders

Your Skills and Experience

• Strong commercial product management experience within a technology or data-led environment
• Proven ability to own and prioritise a product roadmap in a fast-moving, agile setting
• Experience working closely with Engineering and Data teams to deliver complex platforms
• Comfort operating in ambiguity and making pragmatic trade-offs
• Exposure to workflow automation, data products, or AI-enabled features
• Clear communication skills and confidence working directly with senior stakeholders and users

What They Offer

• Competitive salary of £80,000 to £100,000 depending on experience
• Performance-related bonus and equity participation
• High autonomy and visibility within a small, founder-led organisation
• The chance to shape a product with genuine commercial and user impact
• A collaborative environment with close alignment across Product, Engineering, and Data

How to Apply
Apply now to learn more about this Senior Product Manager opportunity and how you could shape the next phase of a high-impact platform.

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Product Manager – Automation (6-Month FTC, Potential to Go Permanent)
London (Hybrid Working)
Up to £70,000 + standard benefits

About the Company
A high-growth, venture-backed fintech business is scaling its product and operations as it continues to expand its client offering. With strong momentum and recent investment, the company is focused on building innovative, technology-driven solutions within financial services.

The Role
This is a Product Manager role with a focus on automation and operational efficiency. You’ll work cross-functionally to identify opportunities to streamline processes and implement scalable solutions that improve how the business operates.

This role is hands-on and suited to someone who enjoys solving problems end-to-end, including designing and building solutions using a range of tools and technologies.

Key Responsibilities

• Identify inefficiencies across internal workflows and processes

• Design and implement automation solutions to improve scalability

• Collaborate with teams across the business to understand challenges and deliver improvements

• Build and optimise systems using low-code/no-code tools and other technologies

• Track and communicate the impact of your work on business performance

What They’re Looking For

• 3-5+ years’ experience in a product, operations, or similar role

• Demonstrated experience improving processes or implementing automation

• Hands-on, proactive approach with strong problem-solving skills

• Comfortable working in fast-paced, high-growth environments

• Able to clearly articulate the outcomes and impact of your work

Why Apply

• Opportunity to work on high-impact initiatives in a scaling business

• Broad exposure across multiple teams and functions

• High level of ownership and autonomy

• Potential for the role to become permanent

Find out more and apply via the link below.

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Data Analyst
London (hybrid, 2 days per week) | Up to £55,000

This is a great opportunity to join a growing data and analytics consultancy where you will work on varied, client-facing projects that have real commercial impact. You will sit between data, insight, and decision-making, helping organisations better understand their customers through thoughtful, high-quality analysis.

The Company
They are a UK-based data and analytics consultancy that combines large-scale proprietary data with advanced analytics and insight delivery. Working as a solutions partner, they support clients across sectors such as utilities, energy, telecommunications, financial services, charities, and consumer brands. Their focus is on helping organisations unlock value from complex data through practical, outcome-driven analytics.

The Role
As a Data Analyst, you will work closely with clients to translate business problems into clear analytical solutions. You will be involved across the full project lifecycle, from early discovery through to delivery.

Key responsibilities include:

• Gathering requirements and running data discovery and stakeholder sessions
• Exploring, cleaning, and analysing complex, often ambiguous datasets
• Combining multiple data sources into a single analytical view
• Producing insight through analysis, reports, and dashboards
• Presenting findings and translating technical outputs into clear commercial insight
• Working alongside data scientists, project managers, and subject matter experts on client projects

Your Skills & Experience

• Strong commercial experience in a data or analytics role
• Excellent SQL skills for data extraction, transformation, and analysis
• Experience using Python for analysis is highly desirable
• Confidence working directly with clients and presenting insight to stakeholders
• Experience building dashboards in Power BI or similar BI tools such as Tableau or Qlik
• A curious, analytical mindset with the ability to work independently and ask the right questions

What They Offer

• Salary up to £50,000, with flexibility to £55,000 for an exceptional candidate
• Hybrid working with two days per week in a London office
• Exposure to a wide variety of clients, sectors, and analytical challenges
• Clear opportunities to develop technical capability and consulting skills
• Supportive team environment with access to specialist data, engineering, and science functions

How to Apply
If you are a Data Analyst looking to deepen your client-facing experience and work on meaningful analytics projects, apply now to find out more.

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Customer Insights and Strategy Transformation Lead
London, hybrid working with 2 days per week in the office. £60,000 to £90,000 plus 16 percent bonus.

This is a high visibility role for someone who wants to shape how customer insight influences strategy, change and commercial decision making. You will sit at the centre of analytics, BI and insight, with the remit and autonomy to build a customer insight capability that delivers real outcomes, not just reports.

The Company
They are a large, established organisation investing heavily in becoming more customer led and insight driven. Data, analytics and insight are seen as critical enablers of strategic transformation. Teams work collaboratively across analytics, marketing, product and technology, with strong senior sponsorship for insight-led decision making.

The Role

• Act as the strategic link between customer insight, central analytics, BI and self service reporting.
• Define the customer insight vision, operating model and prioritisation frameworks.
• Champion a customer first mindset and ensure insight informs strategy, change initiatives and day to day decisions.
• Work closely with marketing, product and data science teams to embed insight into delivery.
• Balance strategic direction with hands on delivery, including analysis, tooling and insight communication.
• Improve confidence in customer data as a strategic asset and uplift ways of working across insight teams.

Your Skills and Experience

• Strong commercial experience in customer analytics or customer insight leadership.
• Advanced SQL skills and strong experience with Power BI or equivalent BI tools.
• Python capability is highly desirable, particularly for advanced or predictive insight.
• Proven ability to translate data into clear, actionable business insight.
• Experience building or supporting predictive models or analytical frameworks.
• Strong stakeholder ownership, with a focus on delivery and impact over theory.

What They Offer

• Salary banding of £60,000 to £90,000, with a sweet spot in the mid to high £70,000s.
• 16 percent bonus.
• Hybrid working with two days per week in the London office.
• A highly visible role with genuine influence over how insight, data and analytics work together.
• The opportunity to build capability and shape something that lasts.

How to Apply
Apply now to find out more about this opportunity and how you could shape the future of customer insight in a business where your work will have real impact.

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