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Senior Machine Learning Scientist – REMOTE

This is an opportunity to join a high-growth AI SaaS business using NLP and GenAI to transform unstructured customer feedback into actionable business insights. You’ll work at the intersection of Machine Learning research and production, developing models that directly influence customer experience and commercial outcomes.

The Company
They are an AI-focused technology company helping organisations unlock value from large-scale customer feedback data. With strong growth, expanding enterprise clients, and significant investment in AI, they are building innovative NLP and LLM-powered products that drive measurable business impact.

The Role
You will develop and deploy advanced NLP and GenAI solutions across the full ML lifecycle.
Key responsibilities:

• Build and improve models for information extraction, retrieval, re-ranking, and sentiment analysis.
• Fine-tune language models and optimise LLM performance.
• Design and evaluate experiments to improve product outcomes.
• Develop production-ready machine learning solutions.
• Work with agentic AI systems and modern NLP architectures.
• Collaborate closely with Product, Engineering, and senior stakeholders.

Your Skills & Experience

• Strong commercial experience in Machine Learning and NLP.
• Hands-on experience fine-tuning language models and working with LLMs.
• Knowledge of GenAI and agentic AI patterns.
• Experience working with large, complex datasets.
• Understanding of model deployment and productionisation.
• Strong communication and stakeholder management skills.
• A practical approach to solving real-world business problems.

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Director of Data
Location: Remote (US) | $265,000 – $300,000 + 20% bonus + benefits

This is a high-impact leadership opportunity to shape the future of enterprise data within a large-scale, mission-driven organisation. You’ll lead a sizeable data engineering function and play a pivotal role in transforming how data powers AI, digital experiences, and business decision-making across the enterprise.

The Company

They are a large, financially strong organisation operating at significant scale within a highly regulated environment. With millions of customer interactions, complex operational ecosystems, and substantial investment in AI and digital transformation, data sits at the heart of their long-term strategy. Leadership is focused on moving beyond traditional reporting towards real-time, AI-enabled data products and conversational experiences.

The Role

• Define and execute the enterprise data platform strategy and roadmap
• Lead a team of approximately 60 data professionals across a blended permanent and contractor workforce
• Own the delivery of scalable data platforms, pipelines, APIs, streaming capabilities, and real-time integrations
• Drive platform reliability, performance, observability, data quality, and cost optimisation
• Partner with Data Science, AI Engineering, Governance, and Product teams to deliver AI-ready data products
• Lead the shift from traditional dashboard-driven analytics to AI-powered, conversational data consumption
• Establish standards for data modelling, metadata, lineage, governance, and platform operations
• Influence enterprise-wide modernisation initiatives with strong executive visibility

Your Skills & Experience

• Strong leadership experience within enterprise data engineering and platform organisations
• Deep, hands-on experience with Snowflake in a large-scale production environment
• Expertise across cloud data platforms, ELT frameworks, data operations, streaming, and APIs
• Proven success leading large engineering teams and managing blended permanent and contract resources
• Experience building modern, scalable data platforms that support AI, machine learning, or GenAI initiatives
• Strong understanding of data governance, quality, metadata, lineage, and operational excellence
• Excellent stakeholder management and the ability to influence senior leadership
• Experience within healthcare, financial services, retail, or another regulated industry is advantageous

What They Offer

• Base salary of $250,000 to $300,000
• 20% annual bonus
• Comprehensive healthcare and retirement benefits
• High-profile leadership role reporting into senior executive leadership
• Opportunity to shape enterprise data strategy during a major AI and digital transformation programme
• Significant scope, visibility, and long-term career growth

How to Apply

If you’re an enterprise data leader with deep Snowflake expertise and a passion for building AI-ready data platforms at scale, apply today to discuss this opportunity in confidence.

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Director of Data Science
Location: Remote | Salary: $260,000 to $300,000

This is an opportunity to lead AI and Data Science transformation within a large, mission-driven organisation that is investing heavily in improving customer experience through data. You’ll have the chance to shape strategy, build innovative solutions, and deliver tangible impact at enterprise scale.

The Company

They are a large, not-for-profit organisation operating at significant scale across a nationwide network of customer-facing services. With billions in annual revenue and millions of customer interactions each year, they are investing heavily in AI, machine learning, and next-generation digital experiences. Leadership views this area as a strategic priority, creating a genuine opportunity to influence enterprise-wide transformation.

The Role

• Lead a team of Data Scientists focused on customer journey and experience optimisation
• Define and execute the Data Science roadmap across customer, operational, and business priorities
• Build predictive, prescriptive, and optimisation models including personalisation, forecasting, segmentation, and recommendation solutions
• Develop semantic AI and conversational data products that power customer-facing applications, chat experiences, and digital tools
• Transform unstructured data from surveys, contact centre interactions, and customer touchpoints into actionable insights
• Partner closely with Data, AI Engineering, Product, Digital, and Operational teams to deploy solutions into production
• Establish best practices for model development, monitoring, governance, and business impact measurement

Your Skills & Experience

• Strong commercial experience leading Data Science, Machine Learning, or AI teams
• Proven track record delivering production-ready ML solutions that drive measurable business outcomes
• Expertise in predictive modelling, experimentation, personalisation, recommendation systems, and forecasting
• Experience working with unstructured, voice-of-customer, or text-based datasets
• Strong stakeholder management and executive communication skills
• Experience within healthcare or other regulated industries is beneficial but not essential
• Degree in a quantitative or STEM-related discipline, with advanced qualifications welcomed

What They Offer

• $260,000 to $300,000 base salary
• High-profile leadership role with executive visibility
• Opportunity to lead an established team of Data Scientists
• Significant investment in AI, GenAI, and customer-facing innovation
• The chance to solve meaningful customer experience challenges at enterprise scale

How to Apply

If you’re excited by the opportunity to combine AI leadership, customer experience transformation, and real-world impact, please apply to discuss this opportunity.

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DevOps Engineer

Up to £120,000

London (4-5 days a week in office)

This is an opportunity for a DevOps Engineer to work at the intersection of infrastructure engineering and AI technology within a high-performance environment. You will play a key role in building and scaling modern infrastructure platforms, with a particular focus on Kubernetes and on-premise environments that support business-critical workloads.

THE COMPANY

They are a globally operating investment and technology-driven organisation with a strong engineering culture. Their teams work closely with technical and business stakeholders to deliver robust, scalable infrastructure across a complex environment.

This role offers exposure to cutting-edge AI infrastructure initiatives while remaining firmly rooted in infrastructure and platform engineering. You will join a collaborative team that values technical excellence, automation, and continuous improvement.

THE ROLE

As a DevOps Engineer you will be responsible for designing, building, and supporting infrastructure and deployment platforms across predominantly on-premise environments.

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

• Building and supporting Kubernetes platforms and containerised workloads
• Developing and maintaining CI/CD pipelines using Jenkins and GitHub Actions
• Automating infrastructure through Infrastructure as Code using Puppet or Terraform
• Managing Linux environments, including security, patching, performance, and systems administration
• Creating automation solutions using Bash, Python, or PowerShell
• Supporting software delivery, release management, and source control processes
• Working closely with infrastructure, platform engineering, and business teams to deliver scalable solutions
• Contributing to projects involving AI and high-performance infrastructure environments

SKILLS AND EXPERIENCE

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

• Strong commercial experience within DevOps, Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering
• Hands-on Kubernetes experience, including deployment and administration
• Proven experience working within on-premise infrastructure environments
• Strong Linux administration and troubleshooting skills
• Experience with Infrastructure as Code tools such as Puppet or Terraform
• CI/CD experience using Jenkins, GitHub Actions, or similar technologies
• Scripting experience with Bash, Python, or PowerShell
• Experience using Git-based source control tools
• Strong communication skills and the ability to work with both technical and non-technical stakeholders
• Experience working within Financial Services, Trading Technology or other regulated environments

BENEFITS

The successful Dev Ops Engineer will receive the following benefits:

• Salary up to £120,000 – depending on experience
• Up to 50% bonus

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 Data Engineer

Up to £85,000

Holborn, London (4 days a week in office)

This is an opportunity to take ownership of a Data Engineering function at a high-growth AI-driven SaaS business. Working directly with senior technology leadership, you will combine hands-on engineering with team leadership, helping to shape the technical direction, standards and future growth of the function.

THE COMPANY

They are a rapidly scaling SaaS organisation that helps businesses unlock greater value from their data through advanced analytics and AI-powered products. Their technology supports enterprise clients across a range of sectors, delivering actionable insights that improve decision-making and commercial performance.

THE ROLE

As a Lead Data Engineer, you will be responsible for leading Data Engineering whilst remaining heavily involved in technical delivery.

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

• Building and developing the Data Engineering function, including processes, standards and best practices
• Leading, mentoring and managing a team of Data Engineers
• Designing and delivering scalable ETL and ELT pipelines across cloud environments
• Owning data modelling, architecture and platform design decisions
• Collaborating with Product, Data Science, Platform and Client Success teams
• Driving improvements across CI/CD, DevOps and engineering workflows
• Working with clients and stakeholders to understand data challenges and deliver value-driven solutions

SKILLS AND EXPERIENCE

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

• Previous experience leading or managing a Data Engineering team
• Strong commercial experience with SQL and Python
• Expertise in building scalable ETL and ELT pipelines
• Strong understanding of data modelling and modern data architecture principles
• Experience working with cloud platforms such as Azure, AWS or GCP
• Knowledge of Databricks, Azure Data Factory, Microsoft Fabric or similar modern data platforms
• Experience with Git, CI/CD and DevOps best practices
• Strong communication skills with the ability to engage technical and non-technical stakeholders
• Experience in consulting, client-facing or project-led environments would be advantageous

BENEFITS

The successful Lead Data Engineer will receive the following benefits:

• Salary up to £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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Azure Cloud Engineer

£40,000 – £50,000

Abingdon, Oxfordshire (1 day a week in office)

Looking to take ownership of real Azure infrastructure while broadening your exposure to cloud architecture, AI initiatives, and large-scale transformation projects? This is an opportunity to join a growing cloud team where you’ll have a direct impact on both internal platforms and client-facing technology programmes.

THE COMPANY

This consultancy-led organisation delivers technology, cloud, and transformation solutions across a diverse portfolio of public and private sector clients. They are continuing to invest heavily in cloud and AI capabilities and are growing their internal cloud function to support increasing demand. Operating within a fully cloud-native Microsoft Azure environment, the team is responsible for all cloud infrastructure, security, governance, and platform services across the business. You’ll join a collaborative technology team where innovation, practical problem-solving, and continuous improvement are highly valued.

THE ROLE

As an Azure Cloud Engineer, you will support the design, delivery, and ongoing management of cloud infrastructure while working closely with consultants and programme teams across the business.

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

• Building, supporting, and optimising Microsoft Azure environments
• Managing cloud resources including Virtual Machines, SQL Servers, Web Apps, and containerised applications
• Supporting Azure DevOps and GitHub-based development and deployment processes
• Creating and maintaining CI/CD pipelines
• Assisting with cloud architecture and infrastructure design discussions
• Advising stakeholders on cloud hosting approaches and infrastructure best practices
• Supporting cloud cost optimisation and operational efficiency across the estate

SKILLS AND EXPERIENCE

The successful Azure Cloud Engineer will have the following skills and experience:

• Commercial experience working within Microsoft Azure environments
• Experience deploying and supporting cloud infrastructure end-to-end
• Knowledge of Azure services including compute, networking, storage, and identity management
• Experience with Azure DevOps and/or GitHub
• Experience building and supporting CI/CD pipelines
• Understanding of cloud security, governance, and compliance principles
• Strong stakeholder communication skills and the ability to work with both technical and non-technical teams

BENEFITS

The successful Azure Cloud Engineer will receive the following benefits:

• Salary between £40,000 – £50,000 – 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 – Treasury

Up to £200,000

London (4-5 days a week in office)

If you are looking for a software engineering role that combines technical ownership, business impact, and exposure to front, middle, and operational functions within a sophisticated investment environment, this opportunity offers a rare chance to build and own critical systems that support a global financial organisation. You will work closely with business stakeholders, solve complex problems, and see the direct impact of your work across the organisation.

THE COMPANY

They are a globally operating investment firm with a strong engineering culture and a significant focus on technology, automation, and innovation. Technology teams are embedded within the business and play an essential role in driving operational efficiency and supporting key investment functions.

Their Enterprise Engineering team develops and maintains business critical platforms spanning treasury, fund accounting, compliance, and middle office operations. Engineers are trusted with genuine ownership and are encouraged to contribute ideas, challenge processes, and deliver meaningful improvements.

THE ROLE

As a Software Engineer you will join a high-performing engineering team building mission-critical software that powers core operations across a leading investment firm.

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

• Design, build, and maintain production software used across treasury, fund accounting, compliance, and middle office functions
• Take ownership of systems and applications from development through to deployment and ongoing enhancement
• Collaborate closely with business stakeholders to understand requirements and deliver practical solutions
• Work across a mix of modern Python services and established object-oriented codebases
• Contribute to architectural discussions and system design decisions
• Partner with teams across technology and operations to solve complex business challenges

SKILLS AND EXPERIENCE

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

• Strong commercial software engineering experience with Python in a production environment
• Experience with at least one object-oriented programming language such as Java, C#, or C++
• Strong SQL skills and experience working with relational databases
• Background within buy-side financial services, hedge funds, asset management, or prime brokerage environments
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Knowledge of treasury, fund accounting, middle office, financing, stock loan, or related operational functions is highly desirable

BENEFITS

The successful Software Engineer will receive the following benefits:

• Salary up to £200,000 – 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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Director of Quality Engineering

Compensation: $245,000-$280,000 Base + Bonus + Full Benefits/401(k)

Location: Fully Remote

About the Opportunity

We are recruiting on behalf of a top-tier, $17B+ enterprise organization undergoing a massive digital transformation. Backed by top-down executive sponsorship and high-profile partnerships with industry leaders like OpenAI, Google, and McKinsey, this company is actively modernizing its entire digital ecosystem.

This is a new leadership position designed for a builder. The organization currently operates a mature, legacy QA model-1 QA Manager and 15-20 manual testers supporting 25 development teams-with zero existing SDET capability.

You are being brought in to take a “block of clay” and reshape the entire function. Your goal is to construct a modern, automation-first Quality Engineering function from scratch, introduce SDET capabilities, embed test automation into CI/CD pipelines, and ultimately lead the shift toward

intent-based, agentic testing.

Key Responsibilities

• Build & Transform: Modernize quality practices across the enterprise, transitioning from manual QA to a lean, technical, automation-first Quality Engineering model.
• Architecture & Frameworks: Design and implement scalable test automation frameworks across API, UI, integration, regression, performance, and end-to-end testing (leveraging tools like Playwright, Maestro, etc.).
• CI/CD Integration: Embed automated testing, quality gates, and release-readiness standards directly into developer workflows and deployment pipelines.
• AI & Agentic Vision: Partner with AI Architecture and Foundation teams to build evaluation practices for AI-enabled systems-pioneering next-generation, agentic testing models.
• Team Leadership & Transition: Own the existing manual QA organization and carefully manage the multi-year transition into a leaner, technical team of developer-adjacent SDETs.

What We Are Looking For

• 15+ Years of Tech Experience: Extensive background in software quality engineering, test automation, and software delivery, with 7+ years in QA/Engineering leadership.
• Proven Builder Track Record: Demonstrated success building or scaling test automation capabilities from the ground up where little to no automation previously existed.
• Technical Depth: Deep expertise in modern automation frameworks, CI/CD integration, API/UI testing, and developer-adjacent QA (SDET methodology).
• Forward-Thinking Mindset: Exposure to or a strong point of view on AI-assisted testing, intelligent test generation, and agentic/intent-based testing frameworks.
• Change Leadership: The empathy and strategic clarity required to guide a traditional QA team through an organizational transition toward modern engineering standards.

Why Apply?

• True Blank Canvas: You aren’t maintaining someone else’s system-you get to architect the QE function, select the tooling, and build the strategy from scratch.
• Bleeding-Edge AI Strategy: Direct visibility and executive backing to integrate cutting-edge AI and agentic testing directly into the core engineering engine.
• Massive Real-World Impact: Build software and quality systems that directly touch millions of real users every single day.

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Data Scientist
London (2 days per week)
Up to £65,000

This is an opportunity to join a leading data and analytics consultancy working on a wide variety of predictive modelling projects across utilities, telecommunications, financial services and customer insight. You’ll have the chance to take ownership of projects, work directly with stakeholders and apply Data Science techniques to solve real commercial challenges.

The Company
They are a well-established data and analytics consultancy that combines proprietary data assets with advanced analytical expertise to help organisations make better decisions. Their work focuses on customer intelligence, predictive modelling and analytics solutions that deliver measurable business outcomes.
Working across multiple industries, they partner with clients to solve challenges around customer acquisition, retention, collections, marketing effectiveness and operational performance. Their teams combine industry expertise, analytics and modern data platforms to deliver impactful solutions.

The Role
As a Data Scientist, you will develop predictive models and analytical solutions that support client decision-making and customer strategy.
Responsibilities include:

• Building machine learning models across use cases including propensity to pay, customer acquisition, churn prediction, lifetime value and segmentation
• Developing classification, regression and clustering models using customer and transactional data
• Working closely with clients and stakeholders to understand business problems and define analytical approaches
• Leading data discovery sessions and gathering requirements from subject matter experts
• Presenting insights, recommendations and model outputs to both technical and non-technical audiences
• Monitoring, refining and retraining models to ensure ongoing performance
• Collaborating with analysts, project managers and industry specialists to deliver client projects
• Contributing to reports, dashboards and client presentations

Your Skills & Experience

• Strong commercial Data Science experience within predictive modelling
• Advanced Python and SQL skills
• Experience building classification, regression and clustering models from the ground up
• Strong understanding of model performance, validation and optimisation
• Confident communicating insights to technical and non-technical stakeholders
• Experience with modern cloud and data platforms such as Databricks, AWS, Azure or Snowflake
• Exposure to customer analytics, credit risk, collections, telecommunications or utilities is advantageous
• Comfortable taking ownership of projects and working independently

What They Offer

• Salary up to £65,000
• Hybrid working with two days per week in London
• Exposure to a broad range of Data Science and machine learning projects
• Direct client engagement and stakeholder exposure
• Access to modern cloud and analytics technologies
• Strong opportunities for technical and professional development
• Collaborative and supportive working environment

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To Apply for this Job Click Here

DATA ENGINEER
£80,000
LONDON

This is a fantastic opportunity to join a specialist data and technology consultancy working with major brands across entertainment, sport and cultural sectors. You’ll take ownership of data engineering initiatives across both internal platforms and client projects, working directly with senior leadership whilst building scalable solutions that drive real business impact.

THE COMPANY

Our client is a data-driven marketing and technology consultancy that helps organisations better understand their customers and maximise commercial performance. Working across large-scale customer data, analytics and AI projects, they partner with well-known organisations to deliver data-led solutions. With continued project wins and growth plans, they are looking to strengthen their engineering capability with a key hire reporting directly to the CTO.

THE ROLE

• Build and maintain data pipelines and integrations across a range of customer, CRM, marketing and behavioural data sources
• Own and develop cloud-based data infrastructure across GCP, Snowflake and client environments
• Design and implement data models, transformations and scalable warehouse solutions
• Deliver technical solutions for client data platform projects, including customer data platforms and CRM integrations
• Work directly with clients and stakeholders to understand requirements and provide technical expertise
• Support the ongoing improvement of engineering standards, processes and platform capabilities

YOUR SKILLS AND EXPERIENCE:

• Strong Python experience for production-grade engineering and integration work
• Strong SQL skills and experience building data pipelines and warehouse solutions
• Experience with cloud technologies, ideally GCP, Snowflake or similar environments
• Understanding of data modelling and modern data engineering best practices
• Experience deploying, testing and maintaining production systems
• Consultancy, agency, startup or client-facing experience would be advantageous
• Experience working with customer, CRM or marketing data would be beneficial

SALARY AND BENEFITS

• £60,000-£80,000 base salary
• Hybrid working model
• 25 days annual leave plus public holidays and Christmas closure
• Health cash plan and employee assistance programme
• Personal development opportunities and industry conferences

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

To Apply for this Job Click Here

To Apply for this Job Click Here

DIRECTOR OF PRODUCT ENGINEERING
£150,000
LONDON

This is a unique opportunity to join a fast-growing AI business at a pivotal stage of its growth. You’ll be responsible for building a scalable Product Engineering function, leading multidisciplinary technical teams whilst helping transform bespoke client delivery into repeatable, enterprise-grade products. The role offers significant autonomy, executive exposure and the chance to help shape the future direction of the business.

THE COMPANY

Our client is an innovative AI and customer analytics company helping large enterprises unlock more value from their customer data. Working with organisations across Financial Services, Insurance, Retail and Healthcare, they combine Data Science, AI and Engineering to solve complex customer growth challenges. Following continued success and increasing demand, they are investing heavily in their technical capability and product platform.

THE ROLE

• Lead teams across Data Science, Data Engineering, Platform Engineering and Application Development
• Build a repeatable and scalable Engineering function capable of supporting continued growth
• Own technical solution design, architecture, quality standards and production readiness across products
• Work closely with enterprise clients and senior stakeholders to deliver AI and analytics solutions
• Drive the transition from bespoke client projects towards reusable platform capabilities
• Remain technically involved through architecture reviews, problem solving and delivery support
• Develop team capability through leadership, mentoring, hiring and engineering best practice

YOUR SKILLS AND EXPERIENCE:

• Proven experience leading Data Engineering, Data Science and broader Product Engineering teams
• Strong background within consultancy, services or client-facing environments
• Experience building, scaling or transforming technical functions
• Strong understanding of modern data platforms, engineering best practices and architecture
• Experience working with first-party customer data and customer analytics solutions
• Technical credibility with the ability to get hands-on when required
• Previous management experience leading teams of 5+ people across multiple disciplines
• Experience with Azure, Microsoft Fabric, AI or enterprise analytics platforms would be advantageous

SALARY AND BENEFITS

• £140,000-£150,000 base salary
• Share options with a clear growth and exit strategy
• Hybrid working model
• Expenses covered for client travel
• Significant autonomy and influence across the organisation
• Direct exposure to executive leadership team

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

To Apply for this Job Click Here

To Apply for this Job Click Here

Web Analyst
£30,000 – £34,000
Hybrid – Manchester (2x days per week)

This is an excellent opportunity for an aspiring Web Analyst to join a growing analytics function where you’ll work with GA4, SQL, BigQuery, and CRO initiatives to improve digital performance. You’ll gain hands-on exposure to experimentation, stakeholder engagement, and data-driven optimisation within a supportive and collaborative environment.

The Company
They are a large, established organisation with a strong focus on digital transformation, analytics, and continuous improvement. With a significant online presence and ongoing investment in data capabilities, they are committed to using insight to enhance customer experiences and business performance. Their Data & Insights team plays a key role in shaping digital strategy and driving evidence-based decision-making across the organisation.

The Role
You will support the web analytics and conversion rate optimisation function, helping stakeholders understand website performance and identify opportunities for improvement.
Responsibilities include:

• Analyse website performance and user behaviour using GA4
• Support A/B testing and experimentation programmes through data analysis and insight generation
• Evaluate test outcomes and provide recommendations to improve website performance
• Identify optimisation opportunities across digital customer journeys
• Query and manipulate data using SQL and BigQuery
• Produce reports, dashboards, and actionable insights for stakeholders
• Collaborate with digital, marketing, and product teams to support business objectives
• Utilise modern analytics and AI tools to enhance analysis and productivity

Your Skills & Experience

• Strong working knowledge of GA4
• Commercial experience within web analytics or a broader analytics role with exposure to digital data
• Good SQL skills and experience working with large datasets
• Strong analytical and problem-solving capabilities
• Ability to communicate insights clearly to both technical and non-technical stakeholders
• Experience translating data into actionable recommendations

Desirable:

• Experience with Google Tag Manager (GTM)
• Exposure to BigQuery
• Knowledge of CRO, experimentation, or website optimisation methodologies

What They Offer

• Salary of £30,000 to £34,000 depending on experience
• Hybrid working, with 2 days per week in their Manchester office
• Exposure to leading web analytics, experimentation, and optimisation projects
• Opportunity to develop expertise in GA4, BigQuery, SQL, and digital analytics
• Clear career progression within a growing analytics function
• Supportive team culture with investment in professional development and learning

How to Apply
If you’re looking to develop your career in web analytics and want to make a measurable impact through data-driven decision-making, please apply today.

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