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DATA QA ENGINEER
REMOTE
UP TO £60,000

This is an excellent opportunity for a Data QA Engineer to play a key role in shaping quality standards across a modern data platform. Joining a team delivering a large-scale data transformation programme, you will have the opportunity to influence testing strategy, drive best practice, and work closely with engineering teams in a highly collaborative environment.

ROLES AND RESPONSIBILITIES:
The Data QA Engineer will:

• Test data platforms, pipelines and associated data products
• Design and execute functional, integration and regression testing activities
• Develop testing strategies and supporting quality assurance best practices
• Work closely with Data Engineers and Analytics Engineers throughout delivery
• Identify, log, track and manage defects through to resolution
• Drive continuous improvement across testing processes, frameworks and standards
• Contribute to quality discussions and helping define effective testing approaches
• Work within a Databricks environment, collaborating on both testing and development activities
• Partner with engineering teams working extensively with PySpark
• Communicate effectively with technical and business stakeholders across the organisation

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong commercial experience within Quality Assurance, Software Testing or Data Testing environments
• Proven experience testing data platforms, data pipelines and complex technical solutions
• Hands-on experience with Databricks
• Strong knowledge of PySpark
• Strong SQL skills
• Experience using Python within testing or data-focused environments
• Ability to work independently and take ownership of testing activities
• Strong stakeholder management and communication skills
• Experience working within Agile delivery environments

Desirable experience:

• Exposure to CI/CD pipelines and automated deployment processes
• Experience with test automation frameworks
• Understanding of data quality principles and validation techniques
• Experience working within consulting or project-based delivery environments

APPLY BELOW!

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Director of Analytics

This is an opportunity to lead a data, analytics, and AI function within an organisation investing in digital transformation. You will shape strategy, partner with senior leaders, and help drive data-led decision-making across the business.
The Company
They are an international organisation operating in a complex, data-rich environment. Data, analytics, and AI play a key role in supporting business performance and digital transformation. The successful candidate will work closely with senior stakeholders to help deliver strategic priorities and identify new opportunities through data.

The Role

• Define and deliver the organisation’s data, analytics, and AI strategy
• Lead teams across analytics, data science, AI, and data engineering
• Drive the development and deployment of AI and machine learning solutions
• Oversee data platforms, architecture, and data pipelines
• Deliver insights, reporting, and business intelligence to support decision-making
• Apply advanced analytics to support forecasting and business planning
• Establish data governance, quality, and compliance frameworks
• Partner with leaders across technology, operations, product, and commercial teams
• Promote the effective use of data across the organisation
• Build and develop high-performing teams

Your Skills & Experience

• Leadership experience within analytics, data science or BI
• Experience developing and delivering data and analytics strategies
• Proven ability to lead analytics, data science, and data engineering teams
• Commercial experience translating data into business outcomes
• Knowledge of data platforms, architecture, and governance
• Strong stakeholder management and communication skills
• Experience influencing senior leadership teams
• Programme and project leadership experience

What They Offer

• Competitive salary and bonus
• Benefits package
• Opportunity to shape enterprise-wide data and analytics strategy
• Senior leadership exposure

How to Apply
If you’re interested in leading data, analytics, and AI strategy within a senior leadership role, apply to learn more about this opportunity.

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Data Analyst – Up to 45k

This is an opportunity to work with a genuinely unique behavioural dataset, combining digital activity, consumer journeys and emerging AI interactions. You will help answer complex commercial questions for leading brands while shaping how data is used to understand real-world behaviour.

The Company
They are a specialist data and analytics business focused on understanding how advertising and digital experiences influence consumer behaviour. Their work blends advanced analytical techniques with rich, multi-source datasets to uncover insights that traditional approaches cannot provide. Operating as a close-knit team, they encourage new ideas and give individuals the autonomy to make a real impact. Their client base includes well-known organisations across media and consumer sectors.

The Role

You will work hands-on with large behavioural datasets, analysing how consumers interact across digital platforms, media channels and AI tools. Responsibilities include:

* Extracting, querying and analysing data using SQL
* Cleaning and structuring complex datasets for analysis
* Identifying patterns, trends and commercially relevant insights
* Delivering post-campaign analysis to evaluate performance
* Supporting bespoke analytical projects addressing business challenges
* Translating data into clear, client-ready insights and presentations
* Working across both quantitative and qualitative data sources
* Developing scalable analytical processes and methodologies
* Collaborating closely with senior stakeholders to evolve analytical outputs

Your Skills & Experience
* Strong commercial experience working in a hands-on data analysis role
* Advanced SQL skills for data extraction and manipulation
* Confidence working with large, complex datasets
* Strong Excel capability for analysis and data handling
* Ability to interpret data and communicate insights effectively
* Experience with quantitative analysis and problem-solving
* Curiosity and attention to detail when exploring new datasets
* Familiarity with modern AI or LLM tools and an interest in their application within analytics

What They Offer
* Salary up to £45,000
* Hybrid working model with regular collaboration in a London office
* Exposure to highly unique and innovative datasets
* Opportunity to work closely with senior leadership
* A fast-paced environment with strong ownership and career development potential

How to Apply
If you are a commercially minded Data Analyst looking to work with cutting-edge datasets, apply to find out more.

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This is a role where advanced Excel modelling sits at the core of strategic decision making. You will step into a position that goes beyond reporting, focusing on shaping commercial direction through insight, influencing senior stakeholders, and driving tangible business growth.

The Company
They are an established, internationally recognised organisation operating within a premium consumer sector, with a strong heritage and a growing direct to consumer focus. The business is investing heavily in data and analytics as a key driver of future growth. With ambitious expansion plans, they are building a best in class analytics capability to support strategic decision making across multiple business areas. You will join a collaborative and evolving data function working closely with marketing, growth and commercial teams.

The Role
* Translate complex datasets into clear, actionable commercial insights
* Build advanced Excel models for forecasting, scenario planning and sensitivity analysis
* Deliver high quality PowerPoint presentations for senior stakeholders
* Partner with marketing, CRM and growth teams to answer key business questions
* Investigate ambiguous problems and identify underlying drivers of performance
* Influence strategic investment and growth decisions through data driven recommendations

Your Skills and Experience
* Strong commercial experience within analytics, insight or strategy
* Advanced Excel capabilities, including modelling, forecasting and scenario analysis
* Ability to communicate complex findings through clear storytelling and presentations
* Experience working with large, multi source datasets
* Proven ability to influence stakeholders and translate data into business value
* Insight led mindset focused on solving problems rather than producing dashboards

What They Offer
* Salary up to £90,000
* Comprehensive benefits package including private medical and pension
* Clear progression opportunities as the analytics function continues to grow
* Exposure to senior leadership and strategic decision making

How to Apply
If you are interested in applying please submit your CV.

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This is an opportunity to join an analytics team within a leading data-led marketing environment. The role offers strong exposure to digital performance, customer insight, and end-to-end campaign measurement, with clear impact on client strategy and business outcomes.

The Company
They are a global consultancy-style organisation operating at the intersection of data, technology and marketing. Their work focuses on delivering measurable impact through customer-centric insights and advanced analytics. With a strong agency and consulting heritage, they partner with major brands to transform marketing effectiveness and customer experience. They foster an inclusive and collaborative culture, with a strong emphasis on continuous learning and development.

The Role
You will play a role in delivering data-driven insights across digital campaigns and customer journeys.

Responsibilities will include:

• Leading post campaign analysis to evaluate performance and identify optimisation opportunities
• Delivering customer journey reporting across multiple digital touchpoints
• Building and maintaining dashboards using tools such as Power BI or Tableau
• Working with large datasets using SQL and Python to generate insights
• Collaborating with stakeholders to translate business questions into analytical solutions
• Supporting test and learn methodologies, including A/B testing and campaign optimisation
• Mentoring junior analysts and contributing to best practice within the team

Your Skills and Experience

• Commercial experience in marketing analytics within an agency or consultancy environment
• Experience in digital analytics, including web and social performance measurement – GTM, Google Analytics
• Proven ability to deliver post campaign analysis and customer journey insights
• Experience with SQL and Python for data manipulation and analysis
• Experience with data visualisation tools such as Power BI or Tableau
• Understanding of tagging, attribution and digital measurement frameworks
• Stakeholder management skills with the ability to present insights clearly

What They Offert

• Structured learning and development programmes
• Clear progression pathways within a growing analytics function
• Comprehensive benefits package focused on wellbeing and work-life balance

How to Apply
If you are interested in applying your digital analytics expertise in a client-facing, insight-driven environment, please submit your CV to learn more.

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Data Scientist – MMM

This is an exciting opportunity for a Junior Data Science Manager to work at the intersection of data science and marketing effectiveness. You will use advanced modelling techniques to influence real business decisions, while continuing to develop both your technical expertise and your ability to communicate complex insights clearly.

The Company
They are a global, data-led organisation operating at the forefront of marketing analytics and technology. Built on strong technical foundations, they combine proprietary tools, experimentation, and data science to help organisations understand what drives performance. Their teams work across a wide range of clients and industries, delivering measurable impact through rigorous analysis and innovation. They are committed to developing talent and fostering a collaborative, learning-focused environment.

The Role

• Support the delivery of marketing mix modelling projects, owning key components such as data preparation, model execution, and scenario analysis
• Apply statistical and analytical techniques to solve business problems across marketing and performance data
• Translate complex model outputs into clear, actionable insights that inform budget and channel decisions
• Collaborate with senior stakeholders and contribute to high-quality client deliverables
• Use AI tools to enhance productivity, accelerate development, and improve communication of outputs

Your Skills and Experience

• Strong commercial experience in data science or statistical modelling, ideally within marketing analytics
• Hands-on experience with marketing mix modelling or similar approaches, with exposure to tools such as Meridian, Robyn, or PyMC
• Proficiency in Python and experience working with cloud platforms such as GCP
• Understanding of Bayesian statistics and marketing attribution concepts
• Ability to communicate technical findings clearly to non-technical audiences
• Interest in applying AI tools to enhance data science workflows

What They Offer

• Opportunity to work on data-driven projects across a range of industries
• Ongoing professional development and clear progression within a growing data science function
• Access to cutting-edge tools like Google Meridian and AI-driven workflows

How to Apply
Apply now to learn more about this Junior Data Science Manager opportunity and take the next step in your data science career.

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This is an opportunity to lead digital growth for a well-established consumer brand with a strong online presence and ambitious plans for the future. The role combines performance marketing, analytics, and commercial strategy, giving you ownership of customer acquisition and growth across multiple channels.

The Company
They are a recognised retail business with a multi-channel customer offering and a growing focus on digital performance. The organisation is investing in its ecommerce and marketing capabilities, creating an environment where data-driven decision making plays a central role. You will join a collaborative team and work closely with stakeholders across marketing, brand, technology, and commercial functions.

The Role
As Head of Digital Growth, you will take ownership of digital acquisition strategy and performance across key marketing channels.
Key responsibilities include:

• Leading performance marketing activity across PPC, paid social, affiliates, shopping platforms, and emerging channels
• Developing and delivering SEO and Generative Engine Optimisation (GEO) strategies to improve organic visibility
• Driving customer acquisition while balancing commercial efficiency and long-term growth
• Owning attribution, measurement frameworks, forecasting, and budget allocation
• Using experimentation and testing to identify opportunities for growth and optimisation
• Creating insight-led media plans aligned to business objectives and trading periods
• Working closely with brand, content, analytics, technology, and commercial teams
• Managing and developing a high-performing growth marketing team

Your Skills & Experience

• Strong commercial experience in growth, performance marketing, or digital acquisition leadership roles
• Expertise across PPC, paid social, SEO, affiliate marketing, and customer acquisition channels
• Strong analytical skills with experience using data to guide strategic decisions
• Experience with attribution, testing methodologies, forecasting, and performance measurement
• Ability to manage marketing budgets and optimise return on investment
• Experience leading teams and influencing stakeholders across multiple business functions
• Strong communication skills with the ability to translate data into clear recommendations
• Understanding of ecommerce, digital customer journeys, and online growth strategies

What They Offer

• Competitive salary and bonus opportunity
• Private healthcare and pension scheme
• Hybrid and flexible working options
• Generous holiday allowance with the option to purchase additional leave
• Employee discounts and additional lifestyle benefits
• Clear opportunity to influence strategy and shape the future direction of digital growth within the business

How to Apply
To find out more about this Head of Growth opportunity, submit your application today. A consultant from Harnham will be in touch to discuss the role in more detail.

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Machine Learning Research Scientist

Location: Remote (United States)
Employment Type: Full-Time

Salary: Up to $350K base

The Opportunity

We’re partnering with an innovative, research-driven organization applying cutting-edge machine learning to one of today’s most complex scientific domains.

This is an opportunity for an exceptional Machine Learning Research Scientist to work on novel foundation models, tackling challenging multimodal learning problems at the intersection of modern AI and scientific research.

The role is centred around original research rather than traditional production engineering. You’ll have the freedom to formulate ideas, rapidly test hypotheses, evaluate results, and drive projects from initial concept through to scientific conclusions.

If you enjoy exploring new model architectures, designing rigorous experiments, and pushing the boundaries of machine learning research, this is an opportunity to make a meaningful impact.

What You’ll Do

• Design, implement, and train next-generation foundation models across large, multimodal datasets.
• Develop novel approaches for integrating information from diverse data sources and modalities.
• Design benchmark tasks and evaluation frameworks to measure model performance and scientific value.
• Rapidly prototype new research ideas, designing experiments to validate hypotheses and identify promising directions.
• Collaborate closely with cross-functional researchers, domain experts, and machine learning scientists.
• Evaluate emerging AI techniques, including large language models and agentic AI systems, for research and scientific workflows.
• Communicate research findings to both technical and non-technical audiences.
• Contribute to publications, conference presentations, and broader scientific engagement where appropriate.
• Own research projects from idea generation through experimentation, analysis, and final conclusions.

What We’re Looking For

We’re interested in researchers with a strong academic background and a proven ability to conduct independent machine learning research.

Typical backgrounds include:

• PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, Computational Neuroscience, Physics, or another highly quantitative discipline.
• Strong publication record or evidence of novel research contributions.
• Experience designing and evaluating machine learning experiments from first principles.
• Excellent programming skills with modern ML frameworks such as PyTorch or JAX.

Researchers from a variety of domains are encouraged to apply, including:

• Foundation Models
• Self-Supervised Learning
• Representation Learning
• Computer Vision
• Large Language Models
• Multimodal Machine Learning
• Reinforcement Learning
• Robotics and Autonomous Systems
• Scientific Machine Learning
• Generative AI, Diffusion Models, or Flow Matching

Why Join?

• Work on challenging, research-first machine learning problems.
• Explore novel ideas with genuine scientific ownership.
• Collaborate with world-class researchers across multiple disciplines.
• Contribute to research with the potential for publications and real-world scientific impact.
• Fully remote within the United States.
• Competitive compensation and the opportunity to work on cutting-edge AI research.

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Data Analyst

London/Oxford/Hybrid

Up to £55,000

Overview

Oxford (Hybrid, 2 days per week) | Up to £55,000 + Benefits | 6 Month Fixed-Term Contract

This is an excellent opportunity for a Data Analyst to join a highly data-driven financial services business on a critical regulatory programme. You’ll play a key role in delivering accurate data analysis and reporting, working on high-profile projects that directly impact customer outcomes and regulatory compliance.

The Company

They are an established financial services organisation with a strong focus on data, technology, and analytics. Data plays a central role in decision-making across the business, with modern cloud-based infrastructure supporting a collaborative analytics function. The organisation is investing heavily in its data capabilities and offers the opportunity to work on meaningful projects with visible business impact.

The Role

As a Data Analyst, you will support a major regulatory and customer remediation programme, working with complex datasets to deliver accurate reporting and data extracts.

Key responsibilities include:

• Writing, optimising, and maintaining SQL queries to support analysis and reporting requirements
• Extracting, manipulating, and validating large volumes of data
• Supporting regulatory reporting and customer remediation activities
• Working with complaints and operational datasets to provide actionable insights
• Handling high volumes of data requests from internal stakeholders
• Producing accurate data extracts and reports with a strong focus on data quality
• Collaborating closely with analytics teams and business stakeholders across the organisation
• Contributing to the successful delivery of a business-critical programme

Your Skills & Experience

• Strong commercial experience using SQL on a daily basis
• Proven ability to manipulate, transform, and analyse large datasets
• Experience producing large-scale data extracts and supporting reporting requirements
• Excellent attention to detail and a methodical approach to data analysis
• Ability to work effectively with both technical and non-technical stakeholders
• Experience working within regulated industries is advantageous
• Financial services experience would be beneficial
• Experience with Tableau or a similar visualisation tool is desirable
• Knowledge of customer complaints, remediation, or regulatory reporting processes would be advantageous

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Data QA Engineer

£50,000 – £60,000

Remote (UK-Based Only)

This is an opportunity to join a growing data function delivering a large-scale Lakehouse programme, where quality, reliability and continuous improvement are central to success. You will play a key role in shaping testing standards, influencing best practice and ensuring critical data products are robust, dependable and ready for business use.

THE COMPANY

They are a well-established UK organisation investing heavily in their data and analytics capabilities. With a modern cloud-based data platform and an ambitious roadmap, they are continuing to build scalable, high-quality data products that support decision-making across the business.

The data team combines engineering, analytics and quality assurance expertise, working collaboratively to deliver impactful solutions. They offer a flexible, people-focused culture with a strong emphasis on work-life balance, autonomy and professional development.

THE ROLE

As a Data QA Engineer you will be responsible for testing the data platform and associated data products while helping to drive quality standards across the wider team.

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

• Planning, designing and executing testing activities across data platforms, pipelines and products
• Performing functional, integration and regression testing to ensure reliable releases
• Working closely with Data Engineers, Analytics Engineers and business stakeholders to identify risks and validate solutions
• Logging, tracking and managing defects through to resolution
• Contributing to testing strategies, quality frameworks and continuous improvement initiatives
• Supporting testing activities within Databricks and PySpark environments

SKILLS AND EXPERIENCE

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

• Experience in a Data QA, Software Testing or Quality Assurance role
• Strong experience testing data platforms, pipelines and data products
• Hands-on experience with Databricks, SQL, Python and PySpark
• Strong stakeholder communication and collaboration skills
• Able to work independently and take ownership of testing activities and quality standards

BENEFITS

The successful Data QA Engineer 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.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data QA Engineer

£50,000 – £60,000

Remote (UK-Based Only)

This is an opportunity to join a growing data function delivering a large-scale Lakehouse programme, where quality, reliability and continuous improvement are central to success. You will play a key role in shaping testing standards, influencing best practice and ensuring critical data products are robust, dependable and ready for business use.

THE COMPANY

They are a well-established UK organisation investing heavily in their data and analytics capabilities. With a modern cloud-based data platform and an ambitious roadmap, they are continuing to build scalable, high-quality data products that support decision-making across the business.

The data team combines engineering, analytics and quality assurance expertise, working collaboratively to deliver impactful solutions. They offer a flexible, people-focused culture with a strong emphasis on work-life balance, autonomy and professional development.

THE ROLE

As a Data QA Engineer you will be responsible for testing the data platform and associated data products while helping to drive quality standards across the wider team.

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

• Planning, designing and executing testing activities across data platforms, pipelines and products
• Performing functional, integration and regression testing to ensure reliable releases
• Working closely with Data Engineers, Analytics Engineers and business stakeholders to identify risks and validate solutions
• Logging, tracking and managing defects through to resolution
• Contributing to testing strategies, quality frameworks and continuous improvement initiatives
• Supporting testing activities within Databricks and PySpark environments

SKILLS AND EXPERIENCE

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

• Experience in a Data QA, Software Testing or Quality Assurance role
• Strong experience testing data platforms, pipelines and data products
• Hands-on experience with Databricks, SQL, Python and PySpark
• Strong stakeholder communication and collaboration skills
• Able to work independently and take ownership of testing activities and quality standards

BENEFITS

The successful Data QA Engineer 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.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data QA Engineer

£50,000 – £60,000

Remote (UK-Based Only)

This is an opportunity to join a growing data function delivering a large-scale Lakehouse programme, where quality, reliability and continuous improvement are central to success. You will play a key role in shaping testing standards, influencing best practice and ensuring critical data products are robust, dependable and ready for business use.

THE COMPANY

They are a well-established UK organisation investing heavily in their data and analytics capabilities. With a modern cloud-based data platform and an ambitious roadmap, they are continuing to build scalable, high-quality data products that support decision-making across the business.

The data team combines engineering, analytics and quality assurance expertise, working collaboratively to deliver impactful solutions. They offer a flexible, people-focused culture with a strong emphasis on work-life balance, autonomy and professional development.

THE ROLE

As a Data QA Engineer you will be responsible for testing the data platform and associated data products while helping to drive quality standards across the wider team.

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

• Planning, designing and executing testing activities across data platforms, pipelines and products
• Performing functional, integration and regression testing to ensure reliable releases
• Working closely with Data Engineers, Analytics Engineers and business stakeholders to identify risks and validate solutions
• Logging, tracking and managing defects through to resolution
• Contributing to testing strategies, quality frameworks and continuous improvement initiatives
• Supporting testing activities within Databricks and PySpark environments

SKILLS AND EXPERIENCE

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

• Experience in a Data QA, Software Testing or Quality Assurance role
• Strong experience testing data platforms, pipelines and data products
• Hands-on experience with Databricks, SQL, Python and PySpark
• Strong stakeholder communication and collaboration skills
• Able to work independently and take ownership of testing activities and quality standards

BENEFITS

The successful Data QA Engineer 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.

To Apply for this Job Click Here