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Fraud Data Scientist
London (Hybrid, 2 Days per Week) | £55,000 – £65,000

This is an exciting opportunity for a Fraud Data Scientist to take ownership of fraud analytics and fraud prevention within a growing fintech business. You’ll work on high-impact fraud modelling initiatives, helping to shape how the organisation identifies, prevents, and responds to evolving fraud risks while contributing to a business focused on delivering positive outcomes for its customers.

The Company
This fast-growing fintech has developed an alternative approach to consumer lending, focused on providing a more transparent and predictable borrowing experience. Their innovative model is designed to support customers with managing repayments while helping them build stronger financial habits.
With continued growth and investment in data and analytics, the business is strengthening its Decision Science capability and looking for talented individuals who want to make a visible impact. They are also committed to promoting financial education within local communities and have built a strong reputation for their collaborative and supportive culture.

As a Fraud Data Scientist, you will be responsible for developing and improving the organisation’s fraud prevention capabilities through advanced analytics and machine learning.

Key responsibilities include:

• Owning fraud analytics and fraud prevention initiatives across the business.
• Developing fraud detection, fraud scoring, and identity verification models.
• Enhancing fraud decisioning through the incorporation of new data sources and innovative modelling approaches.
• Analysing fraud trends, risks, and insights to identify opportunities for improvement.
• Monitoring model performance and recommending enhancements to optimise outcomes.
• Collaborating with underwriting, product, engineering, and wider business teams to implement fraud solutions.
• Translating analytical findings into clear recommendations that drive fraud prevention strategy.
• Supporting the business in identifying and responding to emerging fraud threats, including identity and first-party fraud.
  

Your Skills & Experience

• Strong commercial experience working within fraud analytics, fraud data science, or fraud strategy.
• Experience within a lending business, fintech, banking, payments, e-commerce, or a similar fraud-focused environment.
• Strong Python and SQL skills are essential.
• Experience developing fraud models or applying advanced statistical analysis to fraud prevention challenges.
• Understanding of fraud detection, fraud scoring, identity verification, or fraud strategy frameworks.
• Ability to measure, communicate, and demonstrate the business impact of fraud initiatives.
• Experience working with cross-functional stakeholders to implement analytical solutions.
• Exposure to AWS SageMaker and Databricks would be beneficial.

How to Apply
If you are interested in this Fraud Data Scientist opportunity and would like to learn more, please apply with your CV for immediate consideration.

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LEAD DATA ENGINEER (Azure)

Uo to £75,000 + Benefits
London (Hybrid)
This is a fantastic opportunity to join one of the UK’s most recognisable cultural organisations as they embark on a major data transformation programme. You’ll take ownership of building a modern data platform from the ground up, driving best practice across data engineering while helping the organisation unlock the full value of its data and AI ambitions.

THE COMPANY:

Part of a renowned charitable organisation that entertains millions across the UK, this is the largest publicly funded performing arts organisation in the country. The organisation is investing heavily in modernising its technology estate and creating new opportunities to leverage data, analytics and AI to support future growth and innovation.

THE ROLE:

You will take ownership of designing, building and evolving the organisation’s modern data platform. As the technical lead for data engineering, you will define standards, mentor a growing team and deliver data solutions that support business-wide analytics and future AI initiatives.
Key responsibilities include:

• Leading the design and implementation of a cloud-based Lakehouse platform using Microsoft Fabric
• Building scalable and reliable data pipelines using a Medallion architecture approach
• Designing robust data models and semantic layers across multiple business domains
• Establishing engineering best practices, governance frameworks and development standards
• Managing and developing a small team of data engineers
• Partnering with stakeholders across the organisation to translate business requirements into scalable data solutions
• Enabling high-quality downstream reporting, analytics and Power BI semantic models
• Supporting long-term data innovation and AI initiatives across the organisation

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Strong expertise in dimensional data modelling and semantic layer design
• Hands-on experience with Microsoft Fabric and/or Azure Data Services
• Proven experience delivering end-to-end data solutions, from ingestion through to Power BI reporting and analytics
• Strong stakeholder management and communication skills
• Previous experience managing, mentoring or leading teams, with at least two direct reports

THE BENEFITS:

You will receive a salary up to £75,000 dependent on experience, alongside a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Senior BI Developer / Senior Data Analyst

£60,000-£70,000 Wolverhampton – Hybrid (3 days per week onsite)

I’m hiring a Senior BI Developer / Senior Data Analyst for one of the UK’s largest automotive parts businesses, currently investing heavily in data, analytics, and modern reporting capabilities.

This is a brilliant opportunity to join a business going through significant transformation, helping move the organisation from manual reporting and legacy processes towards automated reporting, self-service analytics, and ultimately more advanced analytical capabilities.

The company

A major UK retail and distribution business operating hundreds of branches nationwide and generating hundreds of millions in annual revenue.

Following significant investment and ambitious growth plans, the business is modernising its technology and analytics landscape, having recently migrated to Azure and begun investing heavily in data and reporting capability.

The goal is simple: use data to help become the market-leading provider in the sector.

The role

This is a hybrid role sitting between Business Intelligence Development and Commercial Analytics.

You’ll spend time:

• Building and improving Power BI dashboards
• Developing scalable semantic models and reporting datasets
• Working with stakeholders to understand business challenges
• Delivering actionable insights, not just reports
• Helping define reporting standards and best practice
• Mentoring more junior members of the team

This is not a pure dashboard-building role. They’re looking for someone who can turn data into recommendations and influence business decisions.

What you’ll be doing

Business Intelligence & Reporting

• Design, develop and maintain Power BI dashboards and reporting solutions.
• Build scalable semantic models and reusable datasets.
• Improve and automate existing reporting processes.

Data Modelling & Analytics

• Develop dimensional models and reporting structures.
• Create DAX measures, Power Query transformations, and KPI frameworks.
• Analyse commercial and operational performance and identify opportunities for improvement.

Stakeholder Engagement

• Work closely with Finance, Sales, Marketing, Commercial, and Operations teams.
• Gather requirements and proactively identify reporting gaps.
• Present insights and recommendations to senior stakeholders.
• Help drive adoption of self-service analytics across the business.

Data Platform & Fabric

• Support development of the Microsoft Fabric platform.
• Contribute to Lakehouse, Warehouse and semantic model design.
• Support ETL / ELT processes and data integration improvements.

What they’re looking for

Must-haves

• 5+ years’ experience in BI, Data Analytics, or BI Development.
• Strong Power BI experience including:
  • DAX
  • Power Query
  • Data modelling
  • Performance optimisation
• Strong SQL skills.
• Experience designing dimensional data models and semantic layers.
• Strong stakeholder management and communication skills.
• Ability to translate business requirements into scalable reporting solutions.

Nice to have

• Microsoft Fabric experience.
• Azure data platform experience.
• Retail, wholesale, distribution, or supply-chain experience.
• Experience mentoring or supporting junior analysts.

Why join?

• Major investment in analytics and data transformation
• Opportunity to shape reporting standards and self-service analytics
• Exposure to Microsoft Fabric and modern data platforms
• High visibility across the organisation
• Significant autonomy and influence
• Business-wide appetite for data-led decision-making

Package

• £60,000-£70,000
• Hybrid working (3 days onsite)
• Career progression opportunities
• Exposure to enterprise-scale analytics transformation

Interview Process

1. Initial interview (45 minutes)
2. SQL assessment
3. Final face-to-face analytics and stakeholder-focused interview

This role is ideal for someone currently working as a:

• Senior BI Developer
• Senior Data Analyst
• BI Analyst
• Analytics Developer
• Power BI Developer
• BI Consultant

who enjoys combining technical delivery with stakeholder engagement and commercial insight.

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Director of Product Engineering

Up to £150,000 + benefits
London

This is a fantastic opportunity to join a high-growth AI SaaS company where you can take ownership of building and scaling a Product Engineering function that combines Data Science, Data Engineering, Platform Engineering and Application Development.

THE COMPANY:

Founded to help enterprises unlock the value of their first-party customer data, our client helps transform customer, behavioural and commercial data into actionable business intelligence. They are entering an exciting phase of growth as it evolves from project-led delivery to a scalable, repeatable product engineering model. This role will be central to shaping that transformation.

THE ROLE:

You will take ownership of the technical engineering capability, leading teams across Data Science, Data Engineering, Platform Engineering and Application Development while creating a scalable and repeatable delivery model.

Key responsibilities include:

• Building and scaling a high-performing Product Engineering function across multiple technical disciplines.
• Leading technical architecture, solution design and engineering decisions for customer-facing AI and data products.
• Acting as a senior technical representative with enterprise clients and translating complex technical concepts into commercial outcomes.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Leading and scaling technical functions within consulting, SaaS or service-based environments.
• Managing multidisciplinary teams across Data Engineering, Data Science and Software Engineering.
• Remaining technically credible with strong understanding of modern data ecosystems, architecture and engineering best practices.

THE BENEFITS:

You will receive a salary up to £150,000 depending on experience.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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To Apply for this Job Click Here

Senior AI Product Engineer

up to £140,000
London (Hybrid)
This is a fantastic opportunity to join an early-stage AI startup as one of its first engineering hires, taking ownership of a cutting-edge behavioural AI platform that is transforming how companies understand and engage with their customers.

THE COMPANY:

Our client is developing technology that helps their clients better understand not just what customers do, but why they make decisions. Their platform combines behavioural science and AI to provide actionable customer intelligence, enabling organisations to improve marketing, communications, customer support, and engagement strategies.

THE ROLE:

You will become the first senior individual contributor engineering hire, working closely with the VP of Product Engineering to build and scale the product from the ground up.

Key responsibilities include:

• Building and shipping AI-powered products end-to-end using LLM technologies.
• Owning and scaling the retrieval-augmented generation (RAG) and AI application layer.
• Developing secure, production-grade systems including guardrails, evaluation frameworks, monitoring, caching, and token cost optimisation.
• Working across the stack, including backend services, APIs, cloud infrastructure, and selective frontend development.
• Establishing engineering best practices around testing, delivery, architecture, and code quality.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Building and scaling production LLM-enabled products from 0-to-1.
• Full-stack software engineering with strong backend expertise.
• Product ownership, architecture, and independent decision-making.
• Modern technologies including TypeScript, Node.js, React, PostgreSQL, AWS, and API-first architectures.
• LLM evaluation, token optimisation, cost management, monitoring, and deployment best practices.

THE BENEFITS:

You will receive a salary of up to £140,000 depending on experience.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Senior Analytics Engineer
London (Hybrid) | Up to £80,000

A fantastic opportunity to join a growing digital business where data plays a key role in driving commercial and product decisions. This position offers end-to-end ownership across analytics, engineering, and BI within a modern cloud environment.

The Company

A fast-scaling, customer-focused organisation investing heavily in its data platform. You’ll join a collaborative team with plenty of opportunity to influence data strategy and deliver real business impact.

The Role

• Build and maintain end-to-end data pipelines
• Develop scalable data models using dbt and BigQuery
• Create Python-based ingestion and automation processes
• Build dashboards and reporting solutions for business stakeholders
• Partner with product, engineering, marketing, and commercial teams
• Improve data quality, performance, and scalability across the platform

Your Skills & Experience

• Strong experience in Analytics Engineering or Data Engineering
• Hands-on experience with GCP, particularly BigQuery
• Strong dbt, SQL, and Python skills
• Experience building BI dashboards and reporting solutions
• Familiarity with Git and modern development practices
• Strong communication and stakeholder management skills

What They Offer

• Salary up to £80,000
• Hybrid working
• Modern cloud-based data stack
• High level of ownership and autonomy
• Excellent progression opportunities
• Please note that sponsorship is not available for this position.

How to Apply

Apply now!

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Chief Data Officer

£160,000 – £180,000
London (Hybrid – 1 Day per Week in Office)

The Company

This is a high-growth, private equity-backed financial services organisation. As part of an ambitious growth strategy, the business is making significant investments across technology, data, and product, creating an exciting opportunity for a senior data leader to shape the future of the organisation’s data capabilities.

This is a critical executive appointment, with a mandate to modernise the data estate, enhance engineering capability, and maximise the impact of data across the end-to-end customer journey.

The Role

As Chief Data Officer, you will be responsible for defining and delivering the organisation’s data vision while leading a large-scale transformation of its data and analytics function. Working closely with the executive leadership team, you will play a pivotal role in establishing data as a strategic business asset.

Key responsibilities include:

• Reviewing and reshaping the current data function, operating model, and organisational structure.
• Defining and executing a long-term data strategy aligned to business growth objectives.
• Leading the design and implementation of a modern data platform, including data lake and warehousing capabilities.
• Building a scalable, self-service data environment that empowers teams to access and leverage data effectively.
• Driving improvements in data engineering, governance, architecture, and analytics capabilities.
• Partnering with product, technology, and business leaders to embed data-driven decision-making across the organisation.
• Leveraging AI and emerging technologies to improve engineering productivity, accelerate software development, and enhance operational efficiency.
• Leading data initiatives focused on customer onboarding, personalisation, insight generation, and overall customer experience optimisation.
• Establishing best-in-class data practices, ensuring scalability, security, and long-term value creation.

Skills & Experience

• Proven experience operating in a senior data leadership role, ideally at Data Director, VP Data, or Chief Data Officer level.
• Strong background within a technology-driven or digitally enabled organisation.
• Demonstrated success building, scaling, or transforming enterprise-wide data functions.
• Deep understanding of data engineering, architecture, cloud platforms, analytics, and modern data ecosystems.
• Experience designing and implementing data lakes, cloud data platforms, and modern warehouse architectures.
• Strong track record of delivering self-service data and reporting capabilities that drive business adoption.
• Credibility operating at both strategic and technical levels, with the ability to challenge and influence stakeholders.
• Hands-on understanding of modern data technologies and engineering best practices.
• Experience with Azure and the Microsoft data ecosystem would be highly advantageous.
• Strong appreciation of AI, automation, and their application to software engineering productivity and business performance.
• Proven ability to collaborate effectively with architecture, engineering, product, and executive leadership teams.
• Commercially minded leader who can balance long-term strategy with practical execution.
• Experience within financial services, fintech, lending, payments, or another regulated environment would be beneficial.

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Senior MLOps Engineer

£75,000 – £85,000

London (1-2 days a week in office)

This is an opportunity to join a growing AI and data-driven organisation where your work will have a direct impact on the development and delivery of advanced machine learning solutions. You will play a key role in shaping scalable MLOps infrastructure, enabling AI products to operate reliably across a diverse client base while contributing to meaningful, real-world outcomes.

THE COMPANY

They are a mission-led technology business that uses data, machine learning, and advanced analytics to help organisations make better decisions. Their platform combines data engineering, AI, and predictive modelling to generate actionable insights at scale. As they continue to grow, they are investing heavily in their AI capabilities and platform infrastructure, creating an exciting environment for engineers who enjoy solving complex technical challenges.

THE ROLE

As a Senior MLOps Engineer, you will join the platform engineering function, owning and evolving the infrastructure that underpins the organisation’s AI services

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

• Designing and maintaining scalable MLOps infrastructure that supports machine learning, NLP, knowledge representation, and AI applications.
• Deploying and managing machine learning models using Azure ML, Azure Kubernetes Service (AKS), and associated cloud technologies.
• Building and maintaining production-grade orchestration pipelines for model training, inference, monitoring, and retraining.
• Developing CI/CD pipelines to automate testing, deployment, and operational processes.
• Implementing observability, monitoring, and alerting frameworks to ensure platform reliability and performance.
• Driving best practice around Responsible AI, governance, transparency, and auditability.
• Collaborating with engineering, delivery, and consulting teams to support the adoption and scaling of AI solutions
• Other key responsibilities & selling points of role.

SKILLS AND EXPERIENCE

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

• Strong commercial experience in MLOps, platform engineering, infrastructure engineering, or a related field.
• Advanced Python development skills within production environments.
• Expertise with Azure-native MLOps tools, including model endpoints, pipelines, registries, environments, and compute resources.
• Experience deploying and supporting containerised workloads on Kubernetes.
• Strong knowledge of CI/CD practices using Azure DevOps or similar tooling.
• Experience with infrastructure-as-code technologies such as Terraform, Bicep, or Pulumi.
• Knowledge of monitoring and observability tooling such as Prometheus and Grafana.
• Experience with orchestration platforms including Dagster, Airflow, Prefect, or similar.

BENEFITS

The successful Senior MLOps Engineer will receive the following benefits:

• Salary between £75,000 – £85,000 – 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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Lead AI Engineer

£95,000 – £115,000

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

This is an opportunity to lead the design, architecture, and delivery of production-grade AI systems that create measurable business impact. You will work on high-value initiatives, building scalable AI solutions that are embedded directly into core business processes rather than standalone prototypes.

THE COMPANY

They are a well-established organisation investing heavily in AI innovation to transform business operations and deliver long-term value. Their focus is on deploying practical, scalable AI solutions that support real workflows and business outcomes. You will join a technology-driven environment where engineering excellence, collaboration, and innovation are highly valued.

THE ROLE

As a Lead AI Engineer, you will

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

• Own the technical direction, architecture, and implementation of AI systems end-to-end.
• Design and build LLM-powered and agent-based solutions from concept through to production.
• Establish engineering standards, reusable patterns, and scalable frameworks across AI initiatives.
• Make key decisions on models, tooling, infrastructure, and system design.
• Ensure AI systems are robust, observable, secure, and production-ready through effective evaluation, monitoring, and guardrails.
• Provide technical leadership and guidance to engineers working on AI projects.

SKILLS AND EXPERIENCE

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

• Strong commercial experience delivering production-grade AI systems from design through deployment.
• Deep expertise in Generative AI, Large Language Models (LLMs), orchestration, prompting, and evaluation.
• Experience building agentic or multi-step AI systems.
• Excellent software engineering fundamentals across APIs, system design, and cloud-based architecture.
• Ability to define technical direction and operate effectively in complex or evolving environments.
• Experience influencing engineering standards and best practices across multiple projects.
• Exposure to AI platforms, reusable frameworks, LLMOps/MLOps, or enterprise AI environments would be beneficial.

BENEFITS

The successful Lead AI Engineer will receive the following benefits:

• Salary between £95,000 – £115,000 – depending on experience

HOW TO APPLY

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

To Apply for this Job Click Here

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Senior Software Developer

£110,000 – £160,000

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

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

THE COMPANY

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

THE ROLE

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

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

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

SKILLS AND EXPERIENCE

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

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

BENEFITS

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

• Salary between £110,000 – £160,000 – depending on experience

HOW TO APPLY

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

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