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DATA ENGINEER
UP TO £50,000
LEEDS

This is an exciting opportunity for a Data Engineer to join a technology-driven organisation. You’ll have the chance to build modern data platforms from the ground up, support AI-focused initiatives, and work across a range of high-profile client projects. You’ll play a key role in shaping the future of the data engineering capability.

THE COMPANY

Our client is a well-established organisation operating at the intersection of data, technology and customer experience. They partner with a range of global brands to deliver innovative, data-led solutions across analytics, marketing and digital transformation. You’ll join a collaborative team working closely with Data Science and business stakeholders to solve complex data challenges.

THE ROLE

Responsibilities include but are not limited to:

• Build and maintain modern data platforms and scalable data pipelines
• Develop cloud-based data solutions
• Support AI-enabled initiatives and emerging data products
• Help establish engineering best practices
• Support data modelling, reporting and analytics requirements

YOUR SKILLS AND EXPERIENCE:

• Strong commercial experience with Python, SQL and cloud-based data platforms is essential
• Experience in marketing, advertising or media sectors is highly desirable
• Strong communication skills and ability to engage with stakeholders
• Experience with Snowflake, Microsoft Fabric and/or BigQuery is highly desirable

SALARY AND BENEFITS

• Up to £50,000 base salary
• Contributory pension scheme

HOW TO APPLY

Please register your interest to Mia Randhawa by sending your CV through the ‘Apply’ link

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CREDIT STRATEGY ANALYST

London (Hybrid, 3 days in office) | £40,000 – £80,000

Are you looking to join a high-growth fintech where you can shape lending decisions at scale? This is an opportunity to work in a profitable, data-driven business that is expanding across multiple international markets, offering strong progression opportunities for analysts with credit strategy experience.

The Company

They are an established international business with a strong analytical culture and a focus on data-led decision making. The organisation offers the opportunity to work on high-impact projects, collaborate with a range of stakeholders, and contribute to the development of risk strategies across multiple markets.

The Role

Key responsibilities include:

• Developing and enhancing acquisition and underwriting strategies
• Monitoring portfolio performance and identifying opportunities to improve credit outcomes
• Using SQL and analytical techniques to drive strategy decisions
• Supporting approval, limit management, pricing, and exposure management initiatives
• Working closely with risk, analytics, product, and commercial teams to improve lending performance
• Analysing customer and portfolio data to recommend strategy changes
• Contributing to the development of automated credit decisioning processes

Your Skills & Experience

• Experience within Credit Strategy, Credit Risk, or Lending Analytics
• Experience working on acquisition, underwriting, approval, limit management, exposure management, or pricing strategies
• Strong SQL skills
• Experience using data to influence lending and commercial decisions
• Python and Tableau experience would be advantageous
• SME lending experience is beneficial but not essential

What They Offer

• Salary between £40,000 and £80,000 depending on experience and level
• Opportunities at Analyst, Senior Analyst, and Lead Analyst level
• Hybrid working with three days per week in the office
• Exposure to international lending portfolios
• Clear progression within a growing and profitable organisation
• The opportunity to influence key lending strategy decisions in a high-performing business

How to Apply

If you have strong credit strategy experience and advanced SQL skills, apply today to learn more about this opportunity.

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LEAD CREDIT RISK ANALYST

CARDIFF (HYBRID) | £60,000 – £70,000 + BONUS

This is an exciting opportunity for a Lead Credit Risk Analyst to join a growing lending business and take ownership of credit strategy across a retail lending portfolio. You’ll have the chance to influence key lending decisions, optimise portfolio performance, and work closely with senior stakeholders to shape the future direction of the credit function.

THE COMPANY

They are a well-established financial services organisation with a strong focus on data-driven decision making and customer outcomes. They continue to invest in analytics, technology, and innovative solutions to support sustainable growth, and are particularly keen on enhancing automated decisioning capabilities.

The business offers a collaborative and supportive culture where employees are encouraged to take ownership, challenge existing processes, and drive continuous improvement.

THE ROLE

* Lead the development and optimisation of credit policy across the portfolio

* Own lending criteria and decisioning strategies to balance growth, automation, and risk appetite

* Enhance referral and application funnel strategies to improve efficiencies and customer outcomes

* Monitor portfolio performance across approvals, arrears, defaults, recoveries, and profitability

* Conduct detailed portfolio analysis to identify emerging risks and commercial opportunities

* Use SQL and Python to analyse data and develop actionable credit risk insights

* Produce high-quality management information, reporting, and strategic recommendations for senior stakeholders

* Support the implementation of new products, data sources, and decisioning capabilities

YOUR SKILLS & EXPERIENCE

* Strong commercial experience within credit risk, credit strategy, or risk analytics

* Experience developing or optimising credit policy within a regulated consumer lending environment

* Strong understanding of underwriting strategies, portfolio monitoring, and credit risk controls

* Hands-on experience using SQL, Python desirable

* Ability to translate complex analytical findings into clear commercial recommendations

* Experience presenting insights and recommendations to senior stakeholders

* Exposure to decisioning systems, automation initiatives, or strategy implementation projects would be beneficial

WHAT THEY OFFER

* £60,000 – £70,000 base salary

* Annual bonus scheme

* Comprehensive benefits package

* Hybrid working model

* Exposure to high-impact strategic projects

* Opportunity to influence risk strategy and business performance

* Clear progression opportunities within a growing analytics and risk function

* Collaborative and supportive culture focused on professional development

HOW TO APPLY

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

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SENIOR CREDIT RISK STRATEGY ANALYST – FINTECH
£80,000
LONDON

This FinTech have been through significant growth in the past few years and are looking to continue on this journey. They are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in developing their lending strategies. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.

THE ROLE

• Developing and driving lending strategies across the business, across both acquisitions and exisiting customers
• Work across a range of areas including pricing, profitability, affordability and broader lending decisions to add growth and commercial improvements across the business
• Analysing wider portfolio performance to drive innovation and forecast future developments
• Integrating CRA and wider customer data to enhance business performance

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience within consumer lending
• Strong experience in developing and leading implementation of credit risk strategies is essential
• SQL or Python experience is essential
• Experience working with SME or business lending is highly desirable

SALARY AND BENEFITS

• Up to £80,000 base salary
• Bonus
• Private medical care
• Pension scheme

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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Analyst, Marketing Science
London | Hybrid (3 days in office) | £40,000 – £60,000
This is a fantastic opportunity for an Analyst to join a leading customer experience and marketing consultancy where data and analytics are central to driving customer engagement and business performance. You’ll gain exposure to a wide range of analytics projects, working with well-known brands while developing your technical and commercial skillset in a collaborative environment.
The Company
They are a specialist customer experience and marketing consultancy that helps organisations make better decisions through data, analytics, and customer insight. Their analytics function combines marketing science, customer analytics, and data capability to deliver measurable business outcomes. Working across a diverse client portfolio, they offer strong opportunities for professional development, cross-functional collaboration, and long-term career progression.
The Role

• Deliver campaign performance analysis and marketing effectiveness reporting
• Analyse customer journeys and customer behaviour to identify actionable insights
• Build reports, dashboards, and visualisations to support stakeholder decision-making
• Use analytics tools such as GA4, Adobe Analytics, and similar platforms to answer business questions
• Support ad-hoc insight requests and project-based analytics work
• Work closely with strategy, data, technology, and client teams
• Assist with tagging, tracking, and data capture initiatives
• Contribute to customer, content, and digital analytics projects
• Present findings and recommendations in a clear and commercial manner

Your Skills & Experience

• Commercial experience in marketing analytics, digital analytics, or customer analytics
• Experience using SQL and/or Python for data analysis
• Knowledge of analytics platforms such as GA4, Adobe Analytics, Sprinklr, or similar tools
• Experience creating reports, dashboards, and data visualisations
• Understanding of campaign measurement and marketing performance analysis
• Strong analytical thinking and problem-solving skills
• Ability to communicate insights clearly to both technical and non-technical stakeholders
• Experience within an agency or consultancy environment is advantageous

What They Offer

• Salary of £40,000 – £60,000
• Hybrid working model
• Exposure to a broad range of clients and analytics projects
• Structured career development and internal mobility opportunities
• Opportunity to work across customer analytics, digital analytics, and marketing science projects
• Collaborative environment with access to experienced analytics professionals
• Exposure to emerging analytics and AI-driven insight initiatives

How to Apply
If you’re looking to develop your career in marketing analytics within a fast-paced and innovative consultancy environment, apply today to learn more about this opportunity.

To Apply for this Job Click Here

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Principal Machine Learning Engineer

Up to €135,000

Paris or Barcelona (2 days a week in office)

This is an opportunity to join a high-growth technology business where machine learning sits at the heart of the product. Reporting directly to the CTO, you will influence technical strategy, lead complex machine learning initiatives, and remain hands-on with the development of models that power large-scale commercial decision-making.

THE COMPANY

They are a profitable AdTech scale-up specialising in AI-driven performance advertising. Their platform helps businesses acquire and re-engage users through highly targeted digital advertising, using machine learning to determine which users see specific adverts and when. Having achieved significant growth in recent years, they continue to invest heavily in their machine learning and data capabilities while maintaining a collaborative, engineering-led culture. Their teams are distributed internationally and work on products that make billions of real-time decisions each day.

THE ROLE

As a Principal Machine Learning Engineer, you will combine technical leadership with hands-on machine learning engineering responsibilities.

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

• Defining technical direction and influencing machine learning strategy across multiple teams
• Designing, building and deploying machine learning models in production environments
• Developing recommendation systems and bidding algorithms within a large-scale advertising ecosystem
• Building audience targeting and mobile attribution models
• Creating customer lifetime value and churn prediction models
• Scaling machine learning infrastructure, experimentation frameworks and training pipelines
• Driving best practices across MLOps, model monitoring, observability and automated retraining
• Partnering with engineering leadership and business stakeholders to align technical solutions with commercial objectives
• Mentoring engineers and contributing to architecture and platform decisions across the machine learning function
• Leading the development of new machine learning capabilities from research through to production deployment

SKILLS AND EXPERIENCE

The successful Principal Machine Learning Engineer will have the following skills and experience:

• Strong commercial experience as a Machine Learning Engineer at Senior, Staff or Principal level
• Proven track record of building and deploying production machine learning systems at scale
• Experience within AdTech, programmatic advertising, RTB or DSP environments is highly desirable
• Expertise in one or more of the following areas: recommendation systems, audience targeting, attribution modelling, customer lifetime value modelling or churn prediction
• Strong Python and machine learning engineering skills
• Experience with modern machine learning frameworks such as PyTorch, TensorFlow or similar technologies
• Exposure to MLOps tooling, experimentation platforms and large-scale data environments
• Experience leading technical initiatives and influencing engineering direction
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders
• PhD or advanced academic background in a STEM discipline is beneficial but not essential

BENEFITS

The successful Principal Machine Learning Engineer will receive the following benefits:

• Salary up to €135,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Machine Learning Engineer

Up to €135,000

Paris or Barcelona (2 days a week in office)

This is an opportunity to join a high-growth technology business where machine learning sits at the heart of the product. Reporting directly to the CTO, you will influence technical strategy, lead complex machine learning initiatives, and remain hands-on with the development of models that power large-scale commercial decision-making.

THE COMPANY

They are a profitable AdTech scale-up specialising in AI-driven performance advertising. Their platform helps businesses acquire and re-engage users through highly targeted digital advertising, using machine learning to determine which users see specific adverts and when. Having achieved significant growth in recent years, they continue to invest heavily in their machine learning and data capabilities while maintaining a collaborative, engineering-led culture. Their teams are distributed internationally and work on products that make billions of real-time decisions each day.

THE ROLE

As a Principal Machine Learning Engineer, you will combine technical leadership with hands-on machine learning engineering responsibilities.

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

• Defining technical direction and influencing machine learning strategy across multiple teams
• Designing, building and deploying machine learning models in production environments
• Developing recommendation systems and bidding algorithms within a large-scale advertising ecosystem
• Building audience targeting and mobile attribution models
• Creating customer lifetime value and churn prediction models
• Scaling machine learning infrastructure, experimentation frameworks and training pipelines
• Driving best practices across MLOps, model monitoring, observability and automated retraining
• Partnering with engineering leadership and business stakeholders to align technical solutions with commercial objectives
• Mentoring engineers and contributing to architecture and platform decisions across the machine learning function
• Leading the development of new machine learning capabilities from research through to production deployment

SKILLS AND EXPERIENCE

The successful Principal Machine Learning Engineer will have the following skills and experience:

• Strong commercial experience as a Machine Learning Engineer at Senior, Staff or Principal level
• Proven track record of building and deploying production machine learning systems at scale
• Experience within AdTech, programmatic advertising, RTB or DSP environments is highly desirable
• Expertise in one or more of the following areas: recommendation systems, audience targeting, attribution modelling, customer lifetime value modelling or churn prediction
• Strong Python and machine learning engineering skills
• Experience with modern machine learning frameworks such as PyTorch, TensorFlow or similar technologies
• Exposure to MLOps tooling, experimentation platforms and large-scale data environments
• Experience leading technical initiatives and influencing engineering direction
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders
• PhD or advanced academic background in a STEM discipline is beneficial but not essential

BENEFITS

The successful Principal Machine Learning Engineer will receive the following benefits:

• Salary up to €135,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Platform Engineer

£73,000 – £84,000

Newcastle (2 days a week in office)

This is an opportunity to join a well-established international organisation investing heavily in its enterprise data capabilities. You will play a key role in maintaining and evolving a modern cloud-based data platform built on Microsoft Azure technologies, ensuring it remains secure, reliable, and ready to support business-critical data initiatives.

THE COMPANY

They are a globally recognised professional services organisation with a large international footprint and a strong focus on innovation and technology. Their data platform underpins strategic decision-making across multiple business functions and regions. With significant investment in cloud, data, and engineering capabilities, they are building a robust, scalable environment that supports long-term growth. They foster a collaborative culture where technical expertise, continuous improvement, and knowledge sharing are highly valued.

THE ROLE

As a Data Platform Engineer, you will take ownership of the operational health and reliability of a modern Azure-based data platform.

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

• Providing L2/L3 support across Microsoft Fabric, Azure Databricks, and associated Azure services
• Monitoring platform performance, availability, resilience, and utilisation
• Investigating and resolving incidents, problems, and service requests through established ITSM processes
• Supporting major incident response and root cause analysis activities
• Managing platform administration, operational checks, and environment maintenance
• Supporting change, release, and deployment processes through CI/CD pipelines
• Maintaining monitoring, alerting, logging, dashboards, and observability solutions
• Ensuring platform changes meet operational readiness and governance requirements before release
• Collaborating with architecture, infrastructure, security, and business stakeholders
• Developing runbooks, technical documentation, operational procedures, and knowledge articles
• Supporting governance, security, compliance, and access control activities
• Driving continuous improvement across platform operations and support processes

SKILLS AND EXPERIENCE

The successful Data Platform Engineer will have the following skills and experience:

• Strong commercial experience supporting cloud-based data platforms in production environments
• Experience with Microsoft Fabric, Azure Databricks, or similar modern data platform technologies
• Strong understanding of Azure services including Key Vault, Azure Monitor, Log Analytics, Entra ID, and secure networking concepts
• Experience managing incidents, problems, changes, and releases within an ITSM framework
• Familiarity with ServiceNow or similar service management tools
• Experience with monitoring, logging, diagnostics, and operational reporting
• Knowledge of Azure DevOps, Git, CI/CD pipelines, and release automation
• Working knowledge of scripting and automation using PowerShell, Python, or similar technologies
• Exposure to Infrastructure as Code tools such as Terraform
• Understanding of data governance, security controls, audit requirements, and compliance within regulated environments
• Ability to produce high-quality technical documentation and operational procedures

BENEFITS

The successful Data Platform Engineer will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

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Software Engineer

$190,000 – $225,000 + 20% bonus

Multiple US Cities (4 days a week in office)

This is an opportunity to join a highly visible innovation team building AI-enabled products that directly influence major investment decisions. You’ll work on greenfield technology, partner closely with senior stakeholders, and help shape the future of predictive analytics within a data-rich business environment.

THE COMPANY

They are a large, established organisation operating at significant scale across the United States, with a strong focus on technology, data, and innovation. Their teams are investing heavily in AI, machine learning, and predictive analytics to transform how business decisions are made. The innovation function operates with the agility of a start-up while benefiting from the resources and backing of a large enterprise. You will join a collaborative team of software engineers, data scientists, and AI specialists working on high-impact products used by senior business leaders.

THE ROLE

As a Software Engineer, you will join a high-impact AI and predictive analytics team building a greenfield investment platform, combining Python, React and machine learning to influence multi-billion-dollar business decisions in a start-up environment backed by a major enterprise.

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

• Build and enhance a full-stack investment analytics platform used by key business stakeholders.
• Develop scalable backend services using Python and modern frontend applications using React and TypeScript.
• Design and implement AI-enabled workflows, tools, and integrations that improve decision-making processes.
• Partner closely with Product, Design, Data Science, and business teams to identify problems and deliver solutions.
• Contribute to architectural decisions and help establish best practices for a growing engineering function.
• Surface machine learning and predictive analytics insights through intuitive user experiences.
• Improve development processes, testing frameworks, and deployment pipelines.
• Work in a fast-paced environment where you can take ownership from concept through to production.

SKILLS AND EXPERIENCE

The successful Software Engineer will have the following skills and experience:

• Strong commercial experience in full-stack software engineering.
• Expertise in Python with experience building scalable backend systems and APIs.
• Strong frontend development experience with React, JavaScript, or TypeScript.
• Experience building production-ready software in start-up, scale-up, fintech, or technology-led environments.
• Exposure to AI, machine learning, LLM applications, AI agents, or predictive analytics products.
• Experience delivering greenfield or 0-to-1 product development initiatives.
• Ability to balance technical excellence with product thinking and business impact.
• Strong stakeholder management and communication skills.
• Experience with cloud platforms such as Azure or AWS.
• Exposure to machine learning frameworks such as TensorFlow, Scikit-learn, or similar is beneficial.

BENEFITS

The successful Software Engineer will receive the following benefits:

• Salary between $190,000 – $225,000 – depending on experience
• Annual bonus of up to 20%

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

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Senior Consultant, Strategy & Insights

London (Hybrid) | £70,000 – £100,000 + Bonus + Benefits

Join a growing boutique strategy consultancy that helps leading technology businesses turn customer insight and market research into commercial action. You’ll lead high-profile B2B technology projects, work directly with senior stakeholders, and play a key role in shaping strategic recommendations.

The Company

They are a specialist strategy and insights consultancy focused on the technology sector. Working with global clients, they combine research, customer insight and commercial thinking to solve complex growth, proposition and go-to-market challenges. Their collaborative environment offers direct exposure to leadership and strong progression opportunities.

The Role

• Lead strategy and insight projects across the B2B technology space
• Design and deliver qualitative research programmes
• Conduct stakeholder and customer interviews
• Turn insights into clear commercial recommendations
• Present findings to senior client stakeholders
• Manage project delivery, timelines and budgets
• Support junior team members and contribute to business growth initiatives
• Help develop AI-enabled products and consulting solutions

Your Skills & Experience

• Strong experience in strategy, insights, market research or consulting
• B2B technology sector expertise
• Qualitative research and analysis skills
• Experience managing clients and presenting to senior stakeholders
• Ability to translate research into actionable business recommendations
• Commercial and entrepreneurial mindset

What They Offer

• £70,000 – £100,000 base salary
• Performance bonus and equity scheme
• Private medical insurance and pension
• Hybrid working (3 days in the office)
• Learning and development support
• Clear progression towards Associate Director

How to Apply

Apply today to discuss this Senior Consultant opportunity in more detail.

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This is an exciting opportunity for an experienced qualitative research leader to join a growing insights and research business operating within the healthcare and life sciences sector. The role combines strategic client leadership, operational excellence, and people management, offering significant scope to shape team performance and client outcomes.

The Company
They are a well-established international research and insights organisation supporting clients across healthcare, pharmaceutical, biotech, and life sciences industries. Their work helps organisations make informed commercial and strategic decisions through high-quality research and consultancy services. With a collaborative and supportive culture, they are committed to delivering exceptional client outcomes while investing in the development of their people.

The Role
As Associate Director, Qualitative Research, you will lead a team responsible for delivering complex qualitative research projects for healthcare and pharmaceutical clients.
Key responsibilities include:

• Leading, coaching, and developing a team of qualitative research professionals
• Managing team performance, workload allocation, and professional development
• Building and maintaining strong relationships with healthcare, pharmaceutical, and life sciences clients
• Overseeing end-to-end project delivery, ensuring projects are delivered on time, within budget, and to a high standard
• Managing project escalations and driving solutions to operational challenges
• Partnering with senior stakeholders to improve processes, systems, and service delivery
• Supporting commercial performance, project profitability, and client retention
• Driving client service excellence across key accounts
• Identifying opportunities to enhance operational efficiency and team effectiveness
• Contributing to the development of best practice standards across research operations

Your Skills & Experience

• Strong qualitative market research experience within healthcare, pharmaceutical, medical device, biotech, or life sciences sectors
• Proven people management experience, including coaching, mentoring, and performance management
• Leading complex research projects from initiation through to delivery
• Experience managing client relationships and providing consultative support to stakeholders
• Strong project delivery and operational management capabilities
• Commercial awareness with an understanding of project profitability and client account management
• Good communication and stakeholder management skills
• Ability to work collaboratively across multiple teams and functions

What They Offer

• Performance-related bonus
• Clear progression opportunities into senior leadership roles

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