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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.

To Apply for this Job Click Here

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.

To Apply for this Job Click Here

To Apply for this Job Click Here

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.

To Apply for this Job Click Here

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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

To Apply for this Job Click Here

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

To Apply for this Job Click Here

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.

To Apply for this Job Click Here

To Apply for this Job Click Here

Martech Engineer

£45,000 – £55,000

London or Brighton (2 days a week in office)

This is an exciting opportunity to join a growing technology and data-focused team where you will build innovative marketing technology solutions, automation tools, and AI-powered products. You will play a key role in developing scalable solutions that help clients unlock insights, improve efficiency, and drive measurable business impact.

THE COMPANY

They are a leading digital consultancy operating at the intersection of marketing, technology, data, and AI. Their teams partner with a diverse portfolio of clients to solve complex business challenges through innovative technology solutions. With a collaborative and forward-thinking culture, they invest heavily in innovation, product development, and emerging technologies. The business offers exposure to global projects and the opportunity to work alongside specialists across multiple disciplines.

THE ROLE

As a Martech Engineer, you will build AI-powered tools, cloud-based data solutions, and automation products using GCP, TypeScript, Node.js, and modern AI frameworks.

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

• Design, develop, and maintain marketing technology products, automation solutions, and AI-powered tools.
• Collaborate with stakeholders to identify business challenges and build scalable technical solutions.
• Develop and maintain API integrations, data pipelines, and cloud-based applications.
• Support the ongoing enhancement of proprietary products and internal platforms.
• Build secure, reliable, and reusable solutions using modern engineering practices.
• Contribute to technical architecture, innovation initiatives, and product strategy.
• Troubleshoot and resolve issues across existing applications and tools.
• Work closely with technical and non-technical teams to deliver impactful projects.

SKILLS AND EXPERIENCE

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

• Strong commercial experience with Google Cloud Platform (GCP) or similar cloud technologies.
• Experience developing applications using JavaScript, TypeScript, and Node.js.
• Knowledge of serverless architectures and modern software engineering practices.
• Hands-on experience integrating AI capabilities into products and workflows.
• Familiarity with agentic AI frameworks such as LangChain, CrewAI, or similar technologies.
• Experience with modern front-end frameworks such as React.
• Ability to communicate technical concepts clearly to a range of stakeholders.
• Interest or exposure to digital marketing channels such as SEO, paid media, content, or analytics.

Desirable experience:

• ETL/ELT tools and data integration processes.
• BigQuery or other cloud data warehouse technologies.
• Data visualisation and dashboard development.
• Marketing technology, analytics, or data-focused environments.

BENEFITS

The successful Martech Engineer will receive the following benefits:

• Salary between £45,000 – £55,000 – 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

Senior AI Engineer

£75,000 – £95,000

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

This is an exciting opportunity for a Senior AI Engineer to play a key role in shaping how AI is embedded across a business. Rather than building standalone proofs of concept, you will develop production-grade AI solutions that directly support core business processes, delivering measurable value at scale.

THE COMPANY

They are a well-established organisation investing heavily in AI and advanced technology. With a focus on innovation, they are building scalable solutions that enhance operational efficiency and customer outcomes. Their environment combines strong engineering practices with the opportunity to work on high-impact AI initiatives. You will join a collaborative team where technical expertise and continuous improvement are highly valued.

THE ROLE

As a Senior AI Engineer, you will design and deliver production-ready AI solutions using LLMs and agentic systems, embedding AI into core business processes to drive measurable impact.

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

• Design and implement end-to-end AI systems that deliver business impact.
• Build and deploy LLM-powered and agent-based solutions from concept through to production.
• Contribute to technical architecture and engineering best practices.
• Develop reusable components, frameworks, and patterns across multiple AI use cases.
• Make informed decisions on models, tooling, infrastructure, and system design.
• Ensure AI solutions are scalable, observable, secure, and production-ready.
• Support evaluation, monitoring, and governance processes for deployed AI systems.
• Provide technical guidance and mentorship to engineers contributing to AI projects.

SKILLS AND EXPERIENCE

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

• Strong commercial experience delivering production-grade AI systems.
• Expertise in generative AI, large language models, prompting, orchestration, and evaluation.
• Experience designing and implementing complex AI solutions across multiple domains.
• Knowledge of agentic AI systems and multi-step workflows.
• Strong software engineering fundamentals, including APIs, system design, and cloud-native architectures.
• Ability to solve problems in evolving and ambiguous environments.
• Experience influencing engineering standards and contributing to technical excellence.
• Exposure to AI platforms, reusable frameworks, LLMOps, or MLOps is advantageous.
• Experience working within enterprise or regulated environments would be beneficial.

BENEFITS

The successful Senior AI Engineer will receive the following benefits:

• Salary between £75,000 – £95,000 – 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

Senior Product Engineer

£115,000 to £140,000 + Equity

Liverpool St., London

This is a rare opportunity to join a well-funded early-stage AI business as one of the first senior engineering hires. You will play a pivotal role in shaping a greenfield AI product, owning technical decisions, influencing the roadmap, and helping build an enterprise-grade platform used by leading organisations.

THE COMPANY

They are an AI startup developing advanced behavioural intelligence technology for enterprise customers. Their platform helps organisations better understand customer behaviours, preferences, and decision-making patterns to improve communications, customer engagement, and product experiences.

Having secured significant early-stage funding, they are now working with major enterprise clients and are focused on scaling their product from proof of concept into wider commercial deployment. With a small, highly experienced team, they offer the opportunity to make a meaningful impact from day one.

THE ROLE

As a Senior Product Engineer, you will take ownership of product development alongside senior leadership, helping transform innovative AI capabilities into a scalable commercial platform.

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

• Building and scaling a production-grade AI product from the ground up
• Designing and developing APIs and backend services that power enterprise customer integrations
• Owning the LLM application layer, including retrieval-augmented generation (RAG) workflows
• Improving model performance, reliability, evaluation frameworks, monitoring, and cost optimisation
• Working across the stack to deliver customer-facing features and platform capabilities
• Collaborating with stakeholders to translate customer feedback into product improvements
• Establishing engineering best practices across architecture, testing, deployment, and delivery
• Contributing to technical strategy and product roadmap decisions

SKILLS AND EXPERIENCE

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

• Strong commercial experience as a Product Software Engineer or Software Engineer
• Experience building and scaling an LLM-enabled product from concept through to production
• Strong backend engineering expertise, ideally within API-first products
• Experience with Node.js and TypeScript, or a proven ability to transition successfully between technology stacks
• Understanding of RAG architectures, evaluation frameworks, guardrails, monitoring, and model optimisation
• Experience managing token usage, infrastructure costs, and scalability challenges in AI products
• Comfortable working autonomously in a startup or high-growth environment
• Strong product mindset with the ability to make technical and commercial decisions
• Excellent communication and stakeholder management skills
• React experience is beneficial but not essential
• Experience within Financial Services or other regulated industries would be advantageous

BENEFITS

The successful Senior Product Engineer will receive the following benefits:

• Salary between £115,000 – £140,000 – depending on experience
• Equity

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 AI Engineer

£90,000 – £120,000

London (3 days a week in office)

This is an exciting opportunity to join a newly established AI innovation team at a globally recognised organisation. You will help shape the future of AI-powered products, working on cutting-edge generative AI applications that move rapidly from concept to production. The role offers significant visibility, real impact, and the chance to influence how AI is used at scale.

THE COMPANY

They are a well-established international organisation with a strong reputation for delivering trusted products and services to a global audience. Operating across multiple markets, they are investing heavily in AI innovation and building a dedicated team focused on exploring the next generation of intelligent products. Their environment combines technical excellence, experimentation, and a commitment to responsible AI development.

THE ROLE

As a Senior AI Engineer you will join a high-impact AI team focused on developing and deploying advanced generative AI solutions.

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

• Building and deploying LLM-powered applications from prototype through to production
• Fine-tuning large language models for specific use cases and content requirements
• Designing, curating, and managing datasets for model training and evaluation
• Developing and optimising Retrieval-Augmented Generation (RAG) pipelines
• Creating evaluation frameworks and quality metrics for AI model performance
• Implementing human-in-the-loop feedback systems to improve outputs
• Supporting AI-driven features such as summarisation, personalisation, and real-time content generation
• Exploring speech and audio technologies, including text-to-speech solutions
• Collaborating closely with product, engineering, and design teams to deliver innovative AI experiences
• Contributing to experiments involving multimodal AI across text, image, and audio

SKILLS AND EXPERIENCE

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

• Strong commercial experience building LLM or NLP-based systems
• Hands-on experience with platforms such as OpenAI, Claude, Gemini, Cohere, Mistral, or Hugging Face
• Expertise in fine-tuning techniques, including supervised fine-tuning and prompt optimisation
• Strong understanding of RLHF, RLAIF, and preference modelling approaches
• Advanced Python development skills
• Experience with tools and frameworks such as LangChain and Hugging Face Transformers
• Familiarity with data tooling including Pandas, DVC, and Weights & Biases
• Experience evaluating model performance using both quantitative and qualitative metrics
• Knowledge of speech technologies, including speech-to-text and text-to-speech solutions
• Strong communication and stakeholder management skills
• Comfortable working in a fast-paced, experimental environment

BENEFITS

The successful Senior AI Engineer will receive the following benefits:

• Salary between £90,000 – £120,000 – 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

Product Data Analyst

£50,000-£60,000

Sheffield (1 day a week in office)

If you’re passionate about turning complex data into actionable business insights, this is an opportunity to make a tangible impact within a growing technology-led organisation. You’ll combine analytical discovery, predictive modelling, and stakeholder collaboration to shape product strategy, improve customer outcomes, and influence key business decisions.

THE COMPANY

They are a growing organisation undergoing an exciting phase of data maturity and digital transformation. Their focus is on leveraging data to enhance customer experiences, inform strategic decisions, and drive sustainable growth. Working within a collaborative environment, you will partner closely with data, product, operations, finance, and commercial stakeholders to unlock value from a modern cloud-based data platform.

THE ROLE

As a Product Data Analyst, you will drive product strategy and customer growth through advanced analytics, customer journey insights, and predictive data science in a modern cloud data environment.

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

• Analyse end-to-end customer and user journeys to identify adoption trends, engagement drivers, and opportunities for growth.
• Conduct exploratory analysis to uncover product usage patterns, conversion drop-offs, and areas for optimisation.
• Build predictive models focused on areas such as customer churn, engagement scoring, demand forecasting, and propensity modelling.
• Develop customer segmentation and behavioural cohorts to support targeted business initiatives.
• Translate complex business questions into structured analytical frameworks, hypotheses, and actionable recommendations.
• Partner with data engineering teams to ensure analytical requirements are embedded within the wider data platform.
• Design dashboards, reporting solutions, and KPI frameworks that support executive and operational decision-making.

SKILLS AND EXPERIENCE

The successful Product Data Analyst will have the following skills and experience:

• Strong commercial experience in Data Science, Product Analytics, or Advanced Analytics environments.
• Advanced SQL skills with experience querying complex cloud-based data warehouses, ideally including Snowflake.
• Expertise in Python or R for statistical analysis, machine learning, and predictive modelling.
• Experience analysing customer journeys, retention, lifecycle metrics, and behavioural data.
• Ability to communicate technical findings clearly to both technical and non-technical stakeholders.
• Experience with BI and visualisation tools such as Power BI, Tableau, Looker, or similar.
• Familiarity with dbt and modern analytics engineering practices is highly desirable.

BENEFITS

The successful Product Data Analyst twill receive the following benefits:

• Salary between £50,000 – £60,000 – 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