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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.

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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

To Apply for this Job Click Here

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

To Apply for this Job Click Here

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

To Apply for this Job Click Here

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Marketing & Customer Analyst
They are a data and analytics consultancy supporting clients across a range of sectors. Their team works on customer insight, marketing effectiveness, reporting, and data strategy projects. You will work alongside analysts and stakeholders to deliver data-led recommendations.

The Role
You will:

• Analyse customer and marketing data to identify trends and opportunities
• Assess marketing campaign performance and provide recommendations
• Analyse customer behaviour, retention, loyalty, and purchasing patterns
• Build dashboards and reporting solutions using visualisation tools
• Present insights and recommendations to stakeholders
• Support a range of analytics projects across marketing and customer data
• Contribute to the development of automated reporting and data products

Your Skills & Experience

• Commercial experience in customer analytics or marketing analytics
• Python for data manipulation, analysis, and insight generation
• Advanced Excel skills
• Experience developing dashboards in Power BI, Tableau, or Looker
• Ability to communicate analytical findings to non-technical stakeholders
• Experience working with marketing metrics and KPIs
• Strong presentation skills using PowerPoint
• Experience working with marketing or customer datasets
• Agency experience preferred

To Apply for this Job Click Here

To Apply for this Job Click Here

Looking for a role where you can own digital measurement strategy and drive best-in-class Adobe Analytics implementation? This is an opportunity to join a well-established organisation investing heavily in its digital and data capabilities. You’ll work across product, engineering, marketing and analytics teams to ensure accurate, scalable tracking that underpins business-critical decision making.

The Company
They are a global digitally driven organisation with a strong focus on customer experience, data quality and product innovation. They are investing in modern measurement frameworks and advanced digital analytics capabilities. This role sits at the intersection of analytics, implementation and stakeholder engagement, offering significant visibility and impact across the business.

The Role
You will lead Adobe Analytics implementation and web instrumentation initiatives across multiple digital platforms.
Key responsibilities include:

• Own and maintain the digital measurement framework across web and app environments
• Design, implement and optimise data layers to support analytics requirements
• Configure and manage Adobe Launch (Tags) implementations
• Work closely with engineering, product and marketing teams to ensure accurate tracking
• Develop and QA tracking solutions using Adobe Web SDK
• Implement and manage marketing and third-party tags
• Debug complex tracking issues and ensure data quality across platforms
• Support A/B testing and experimentation initiatives
• Partner with stakeholders to translate business requirements into technical measurement solutions
• Drive best practice across digital analytics and tagging governance

Your Skills & Experience

• Strong commercial experience with Adobe Analytics
• Hands-on expertise in Adobe Launch (Tags) and Adobe Web SDK
• Technical implementation background within digital analytics
• Advanced JavaScript skills
• Good understanding of HTML and CSS
• Experience designing and managing data layers
• Strong knowledge of tracking architecture, tagging and instrumentation
• Experience debugging complex analytics implementations
• Understanding of consent management and privacy requirements
• Excellent stakeholder management and communication skills

What They Offer

• Performance-related bonus
• Hybrid working arrangement

To Apply for this Job Click Here

To Apply for this Job Click Here

This is an opportunity to lead a Data Services function covering Business Intelligence, Data Science, Digital Analytics, and Marketing Technology. You will shape strategy, develop teams, and drive the adoption of AI across data services.

The Company
They are a global organisation operating across data, analytics, technology, and digital marketing. Their teams help clients improve decision-making through measurement, reporting, analytics, and data-driven solutions. As the business continues to grow, they are investing further in their data capability and leadership team.

The Role

• Define the strategy and roadmap for the Data Services function.
• Lead teams across Business Intelligence, Data Science, Digital Analytics, and Marketing Technology.
• Drive the use of AI within data services workflows and delivery.
• Establish standards and best practices across analytics, reporting, and measurement.
• Support revenue growth through client development and new business opportunities.
• Partner with senior stakeholders to align data initiatives with business goals.
• Develop and mentor practice leads and senior specialists.
• Present data strategies and recommendations to senior client stakeholders.
• Contribute to the organisation’s presence within the data and analytics market.

Your Skills & Experience

• Leadership experience across multiple data disciplines.
• Strong understanding of analytics, measurement, BI, and data services.
• Ability to lead technical teams and support delivery quality.
• Experience implementing AI-enabled processes or transformation programmes.
• Commercial awareness and experience supporting business growth.
• Strong communication and stakeholder management skills.
• Ability to build and develop high-performing teams.

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