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Senior Data Analyst

London (Hybrid – 2x Days a Week in Office)

£70,000-£75,000

Are you a highly analytical Senior Analyst with exceptionally strong SQL skills and experience working with large volumes of data? If yes – read on! This is an opportunity to join a global sports and technology business where you’ll work across customer behaviour, audience analytics, digital engagement and product experimentation. You’ll be joining a growing analytics function at an exciting point in its product journey, with the opportunity to move increasingly closer to Product Analytics while remaining hands-on with data. If you’re someone who enjoys working with millions of rows of data, solving complex analytical problems and understanding what makes digital users engage, this could be a great fit.

The Company

You’ll be joining a global sports, technology and digital content business, operating across London, New York, Tel Aviv and beyond. The business sits at the intersection of sports, content and technology, building digital products and experiences used by millions of sports fans globally. The company has recently undergone an exciting rebrand and is continuing to develop its technology platform, digital products and audience proposition; with a genuinely global footprint and a strong focus on digital engagement, this is an environment where data is central to understanding users and improving the product experience.

The Role

This is a Senior Data Analyst position with a strong focus on understanding users, audiences and digital engagement. The successful candidate will work across a broad range of analytical problems, including:

• Customer and audience analytics
• User behaviour
• Product engagement
• Event tracking and measurement
• A/B testing and experimentation
• Segmentation
• Product analytics

The business is increasingly investing in its product experience, including interactive features, games and improved account functionality. You’ll help answer questions around who users are, what they want, how they behave and what keeps them coming back. A key part of the role will be working with event-level data to understand user journeys and measure the impact of changes to the product. You’ll work closely with Product, Engineering and other stakeholders to ensure the right data is being captured, analysed and turned into actionable insight. You will be working directly with large datasets and using data to influence how digital products are developed. The role will also increasingly move towards Product Analytics, making it particularly attractive for someone currently working in Customer, Audience or Digital Analytics who wants to take that next step.

Your Skills & Experience

I am looking for someone who can demonstrate:

• Strong SQL skills, with experience working with large-scale datasets, ideally millions of rows or events.
• Experience analysing digital customer behaviour.
• Exposure to A/B testing, experimentation or product analytics.
• Experience working with a cloud data warehouse.
• A genuinely curious, investigative approach to data.

You don’t need to have used BigQuery specifically – the business is open to candidates from different cloud environments; what’s most important is that you can demonstrate excellent SQL skills and experience working with significant volumes of data. The ideal candidate will be a digital-native generalist who enjoys getting stuck into different analytical problems rather than being restricted to one particular area.

The Benefits

• £70,000-£75,000 salary

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

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Senior MLOps Engineer
London (Hybrid) | £75,000 – £85,000 + 10% Bonus
Join a growing AI-focused organisation as a Senior MLOps Engineer, taking ownership of the infrastructure, deployment and orchestration capabilities that support production machine learning services. This is a hands-on role with significant influence over platform direction and engineering standards.

The Company
A data and AI organisation delivering machine learning and analytics solutions at scale. With continued growth and investment in AI capabilities, they are building a modern platform to support an expanding portfolio of products and clients.

The Role
You will:

• Own and develop the infrastructure supporting AI and ML services.
• Build and maintain orchestration pipelines using tools such as Dagster, Airflow or Prefect.
• Deploy, manage and optimise workloads in Kubernetes environments.
• Improve monitoring, observability and platform reliability.
• Implement infrastructure-as-code and CI/CD best practices.
• Partner with software engineers, ML engineers and data scientists to deliver scalable solutions.

Your Skills & Experience

• Strong Python software engineering experience.
• Hands-on MLOps or platform engineering background.
• Experience with ML workflow orchestration tools.
• Production Kubernetes expertise.
• Infrastructure-as-code experience, ideally Terraform or Bicep.
• Knowledge of monitoring, logging and deployment best practices.
• Exposure to Azure and production ML environments is beneficial.

What They Offer

• £75,000 – £85,000 base salary.
• Up to 10% bonus.
• Hybrid working, 1-2 days in the London office.
• Private healthcare and additional benefits.
• Strong opportunity for ownership and career growth.

How to Apply
Apply today to learn more about this Senior MLOps Engineer opportunity.

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Product Data Scientist

£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 Scientist, 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 Scientist 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 Scientist will 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.

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Data Operations Manager

£45,000 – £55,000

London (2 days a week in office)

This is a fantastic opportunity for a Data Operations Manager to join a growing, technology-driven insights and research organisation undergoing significant operational transformation. You’ll play a key role in shaping research delivery processes, automation frameworks, and data operations capabilities while working on large-scale international programmes.

THE COMPANY

They are a leading insights and research organisation with a strong reputation for innovation, technology adoption, and operational excellence. Working across international markets, they help clients make better business decisions through high-quality research and data-driven insights. They are investing heavily in modernising their research operations and building scalable delivery frameworks to support future growth. Their culture is collaborative, supportive, and focused on employee wellbeing and professional development.

THE ROLE

As a Data Operations Manager, you will sit at the intersection of research technology, survey operations, data processing, workflow automation, and programme delivery.

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

• Managing the operational delivery of quantitative research programmes, including multi-market and global studies
• Delivering hands-on survey scripting, data processing, reporting operations, and workflow automation
• Designing, maintaining, and improving automation workflows, operational tooling, and API-driven processes
• Coordinating resources and delivery priorities across multiple concurrent programmes
• Identifying delivery risks, managing dependencies, and implementing robust quality assurance processes
• Acting as an escalation point for complex technical and operational delivery challenges
• Supporting governance, documentation, and process improvement initiatives
• Partnering with research, operations, technology, and client stakeholders to ensure successful programme delivery
• Translating technical concepts into clear business impacts for senior stakeholders

SKILLS AND EXPERIENCE

The successful Data Operations Manager will have the following skills and experience:

• Strong commercial experience within market research, research operations, data processing, or related environments
• Experience delivering large-scale quantitative research programmes across multiple markets
• Hands-on survey scripting experience using platforms such as Decipher, Qualtrics, Forsta, Dimensions, or similar
• Experience managing quantitative data workflows, reporting outputs, dashboards, and analysis tools such as SPSS, Q, DisplayR, or equivalent
• Strong data cleaning, transformation, and data management skills
• Experience building automation workflows, operational tooling, or data pipelines
• Knowledge of Python, SQL, JavaScript, APIs, or workflow automation platforms would be highly advantageous
• Excellent stakeholder management, communication, and project prioritisation skills
• Ability to identify risks early and drive effective operational solutions

BENEFITS

The successful Data Operations Manager 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

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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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Marketing Automation Engineer | UK Remote – Up to £95,000 + benefits

A growing InsurTech business is looking for a hands-on Marketing Automation Engineer to join its team on a permanent, fully remote basis.

This is a great opportunity for someone who sits comfortably between engineering, customer data and marketing, building the technical infrastructure that improves conversion, engagement and repeat business.

The role:

• Build and optimise automated email journeys and customer lifecycle campaigns

• Develop remarketing campaigns across Google, Microsoft and Meta

• Use customer and transaction data to create and manage audiences

• Build conversion tracking and advertising data feeds

• Develop API integrations and automated workflows using JavaScript/Node.js

• Work with BigQuery, Salesforce, AWS and affiliate integrations

• Monitor, troubleshoot and improve the reliability of marketing automations

• Work closely with marketing and engineering to turn commercial requirements into technical solutions

• Measure performance against customer and revenue outcomes

We’re looking for:

• Strong hands-on experience across marketing automation, customer data and technical integrations

• Good JavaScript/Node.js and API integration skills

• Strong SQL experience with CRM, customer or transaction data

• Experience with server-side conversion tracking and data feeds

• Experience building automated email journeys with conditional logic and personalisation

• Hands-on experience with remarketing platforms such as Google Ads, Microsoft Advertising or Meta

• Good understanding of consent, privacy and unsubscribe requirements

• Strong communication skills and the ability to translate marketing requirements into technical solutions

Experience with BigQuery, Salesforce, SendGrid, Klaviyo, AWS Lambda or Impact would be advantageous, but you don’t need to have used every platform.

Package: £75,000-£90,000 depending on experience
Location: UK Remote
Type: Permanent, full-time

If you’re a technically minded marketing automation specialist who enjoys owning projects end-to-end and seeing your work directly impact commercial performance, get in touch for a confidential conversation.

Find out more and apply via the link below!

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Head of Data Services | London / Hybrid – Up to £95,000 + benefits

A leading digital marketing agency is looking for a Head of Data Services to lead and grow a multidisciplinary data function from its London office.

This is a senior leadership opportunity for someone who combines strong technical data expertise with commercial thinking and an inspiring leadership style.

The role:

• Set the strategic direction for Data Services across BI, Data Science, Digital Analytics and Google Marketing Platform

• Lead the function’s AI transformation, embedding AI into delivery, processes and capability

• Own commercial performance, identifying growth opportunities and supporting pitches

• Provide technical leadership across analytics, tagging, MMM, BI and GMP

• Lead and develop a senior leadership/practitioner team, with responsibility for a large wider function

• Represent the data practice with C-suite clients and senior marketing stakeholders

We’re looking for:

• 7-10+ years’ relevant experience

• Strong leadership experience across multiple data/marketing disciplines

• Agency experience preferred, particularly within the media/marketing ecosystem

• Technical credibility across analytics, BI, MMM and/or GMP – you don’t need to be hands-on day-to-day, but must be able to challenge and guide technical teams

• A strong commercial track record, with demonstrable impact on revenue, growth and client relationships

• Experience leading and developing high-performing teams

• Excellent communication and presentation skills, with the presence to engage senior clients and stakeholders

Package: Up to £95,000 + benefits
Location: London
Working pattern: Hybrid, typically 3 days per week in the office

Find out more and apply via the link below!

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Data Science Engineer

Up to £90,000+ Benefits
London (Hybrid)
This is a great opportunity to join a newly established R&D function within a global organisation, where you can take ownership of building the foundational data capabilities that power AI products, advanced analytics, and business decision-making.

THE COMPANY:

This law firm is investing in a new R&D capability focused on developing data-driven and AI-enabled products that transform legal services and deliver commercial value across the wider business. You’ll join a collaborative, multidisciplinary team working across discovery, prototyping, engineering, productionisation and continuous improvement, helping shape the future of data and AI within a globally recognised organisation.

THE ROLE:

You will take ownership of designing and delivering scalable data products, pipelines and analytical solutions that support AI initiatives, business intelligence and client-focused innovation.
Key responsibilities include:

• Building reliable data pipelines and reusable data assets using Microsoft Fabric and Databricks.
• Designing scalable lakehouse data models and governed datasets.
• Conducting exploratory data analysis and developing machine learning models.
• Applying NLP, entity resolution and information extraction techniques to document-heavy datasets.
• Deploying analytical solutions into production through APIs, pipelines and data products.
• Implementing data quality, monitoring, lineage and governance frameworks.
• Working closely with stakeholders to translate business challenges into analytical solutions.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python and SQL skills, with strong PySpark experience
• Hands-on expertise with Microsoft Fabric and Databricks.
• Experience building production-grade data pipelines, reusable data assets and machine learning solutions.
• Experience communicating technical concepts and business impact to non-technical stakeholders.
• Experience with Git, testing frameworks, APIs and CI/CD practices.

THE BENEFITS:

You will receive a salary of up to £90,000 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

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Senior Data Engineer

Location: Miami, FL OR Austin, TX- Hybrid 4 days per week

Compensation: $150-165k base salary + bonus

About the Role

A large, rapidly growing financial services organization is seeking a Senior Data Engineer to help build and evolve its modern enterprise data platform. This is a highly visible, hands-on role with broad ownership across data ingestion, modeling, transformation, quality, and platform development.

You’ll work across the full data lifecycle, building scalable solutions that support analytics, reporting, and critical business operations. This is an ideal opportunity for a Data Engineer who wants meaningful ownership, broad technical exposure, and the ability to influence how a growing organization approaches data.

What You’ll Do:

• Design, build, and maintain scalable data pipelines, ingestion frameworks, and ETL/ELT workflows.
• Develop and optimize data models supporting analytics, reporting, and downstream applications.
• Build and enhance an enterprise data platform with a focus on scalability, reliability, and performance.
• Develop robust data solutions using Python, SQL, and dbt.
• Own engineering projects from requirements and technical design through deployment and ongoing operation.
• Implement processes around data quality, monitoring, reconciliation, lineage, and reliability.
• Partner with Analytics, Data Science, Engineering, and business teams to deliver high-quality data products.
• Troubleshoot complex data and pipeline issues and identify opportunities to improve existing systems.
• Contribute to data architecture, engineering standards, and the longer-term technical roadmap.

Must Have:

• 3+ years of experience in Data Engineering, Analytics Engineering, or a related engineering role.
• Strong hands-on experience with Python and SQL.
• Strong experience with dbt and modern data transformation practices.
• Experience building and maintaining production data pipelines and ingestion processes.
• Strong understanding of data modeling and ETL/ELT architecture.
• Experience with data quality, monitoring, and production data operations.
• Ability to independently own projects from design through implementation.
• Strong communication skills and experience partnering with technical and business stakeholders.

Nice to Have:

• Experience with Azure or similar cloud-based data platforms.
• Background in financial services, consulting, or a high-growth technology environment.
• Strong academic background in Computer Science, Mathematics, Statistics, Engineering, or a related field.
• Experience building or scaling enterprise data platforms.

Why Join?

This is an opportunity to take meaningful ownership within a growing data organization and help shape the future of its enterprise data platform. You’ll remain deeply hands-on while working across ingestion, modeling, data quality, platform development, and cloud infrastructure – with the opportunity to expand your technical influence as the organization continues to scale.

To Apply for this Job Click Here

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Senior Data Engineer

Location: Austin, TX OR Miami, FL – Hybrid 4 days per week

Compensation: $150-165k base salary + bonus

About the Role

A large, rapidly growing financial services organization is seeking a Senior Data Engineer to help build and evolve its modern enterprise data platform. This is a highly visible, hands-on role with broad ownership across data ingestion, modeling, transformation, quality, and platform development.

You’ll work across the full data lifecycle, building scalable solutions that support analytics, reporting, and critical business operations. This is an ideal opportunity for a Data Engineer who wants meaningful ownership, broad technical exposure, and the ability to influence how a growing organization approaches data.

What You’ll Do:

• Design, build, and maintain scalable data pipelines, ingestion frameworks, and ETL/ELT workflows.
• Develop and optimize data models supporting analytics, reporting, and downstream applications.
• Build and enhance an enterprise data platform with a focus on scalability, reliability, and performance.
• Develop robust data solutions using Python, SQL, and dbt.
• Own engineering projects from requirements and technical design through deployment and ongoing operation.
• Implement processes around data quality, monitoring, reconciliation, lineage, and reliability.
• Partner with Analytics, Data Science, Engineering, and business teams to deliver high-quality data products.
• Troubleshoot complex data and pipeline issues and identify opportunities to improve existing systems.
• Contribute to data architecture, engineering standards, and the longer-term technical roadmap.

Must Have:

• 3+ years of experience in Data Engineering, Analytics Engineering, or a related engineering role.
• Strong hands-on experience with Python and SQL.
• Strong experience with dbt and modern data transformation practices.
• Experience building and maintaining production data pipelines and ingestion processes.
• Strong understanding of data modeling and ETL/ELT architecture.
• Experience with data quality, monitoring, and production data operations.
• Ability to independently own projects from design through implementation.
• Strong communication skills and experience partnering with technical and business stakeholders.

Nice to Have:

• Experience with Azure or similar cloud-based data platforms.
• Background in financial services, consulting, or a high-growth technology environment.
• Strong academic background in Computer Science, Mathematics, Statistics, Engineering, or a related field.
• Experience building or scaling enterprise data platforms.

Why Join?

This is an opportunity to take meaningful ownership within a growing data organization and help shape the future of its enterprise data platform. You’ll remain deeply hands-on while working across ingestion, modeling, data quality, platform development, and cloud infrastructure – with the opportunity to expand your technical influence as the organization continues to scale.

To Apply for this Job Click Here

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Head of Marketing Analytics
London (Hybrid, 2-3 days per week)
Up to £150,000 + 15% Bonus

This is an opportunity to build and shape a Marketing Analytics function at a pivotal stage of growth. You will combine strategic leadership with hands-on analytics, helping a growing consumer business establish the frameworks, measurement capabilities, and data foundations needed to scale customer acquisition and engagement.

The Company
They are a fast-growing, digital-first consumer business undergoing significant transformation and expansion. With a broadening product offering and ambitious growth plans, they are investing heavily in data-driven marketing and customer strategy.

Marketing Analytics is an increasingly important capability within the organisation, and this role will play a key part in defining how marketing performance, attribution, and growth measurement are managed in the years ahead.

You will join an environment where there is genuine opportunity to influence direction, introduce best practice, and build capabilities from the ground up.

The Role
You will:

• Lead and develop a team of Marketing Analysts, providing strategic direction and coaching
• Define the vision and roadmap for Marketing Analytics across acquisition, growth, and CRM
• Build scalable measurement frameworks to support marketing investment decisions
• Partner with senior stakeholders to solve complex marketing and growth challenges
• Establish robust attribution approaches across multiple marketing channels
• Assess and improve the current analytics infrastructure, ensuring it supports future growth
• Drive insight into customer acquisition, activation, retention, and lifetime value
• Support marketing effectiveness analysis across channels including paid media
• Translate business questions into actionable analytical solutions
• Remain hands-on with SQL and analytical problem solving where required

Your Skills & Experience
You will have:

• You must come from a consumer-tech, app business background
• Strong experience in Marketing Analytics, Growth Analytics, or Customer Analytics
• Proven experience leading and developing analytics teams
• Advanced SQL skills and the ability to work closely with data architecture and engineering teams
• Experience with GA4 and digital marketing measurement
• Mobile app analytics experience, including attribution, acquisition measurement, and customer lifecycle analysis
• Strong understanding of marketing performance across channels such as Google Ads and Meta
• Experience working with product analytics platforms such as Amplitude or similar
• Knowledge of attribution methodologies and marketing measurement best practices
• The ability to operate at both strategic and hands-on levels
• Experience improving analytics maturity within growing organisations rather than simply maintaining established processes
• Strong stakeholder management skills and the ability to influence senior leaders

What They Offer

• Opportunity to build and shape a Marketing Analytics function from the ground up
• High levels of visibility and influence across senior leadership
• Clear scope for long-term career growth as the function and business continue to scale
• Collaborative and data-driven working environment

How to Apply
If you are interested in this Head of Marketing Analytics opportunity and would like to learn more, please apply with your CV to discuss the role in confidence.

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