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Ecommerce Growth Manager – Contract
Agency – Telco Client
London – 1-2 days per week in office
£300-£350 per day – Outside IR35

This is an opportunity to join a leading telecommunications organisation at a critical point in its digital growth journey. Working within a high-performing Digital Sales team, you will play a key role in driving online commercial performance across key product areas, using data, customer insight and ecommerce best practice to identify and deliver growth opportunities.

The Company

They are a major telecommunications provider with a large and evolving digital customer base. As digital channels become increasingly important to commercial performance, they are investing heavily in online sales, customer experience and conversion optimisation. You will join a collaborative environment that brings together Ecommerce, Digital Sales, CRO, Product, UX and Insight teams to improve customer journeys and deliver measurable business outcomes.

The Role and Deliverables

• Analyse digital sales performance, customer behaviour and commercial trends to identify growth opportunities and risks.
• Evaluate customer journeys and conversion funnels, recommending improvements to increase online sales and reduce friction.
• Partner with CRO, Product, UX, Trading and Insight teams to prioritise and implement optimisation initiatives.
• Assess the effectiveness of pricing, promotional and trading activity, translating insights into commercial recommendations.
• Deliver performance reporting, forecasting, competitor analysis and actionable business insights.
• Build and maintain a prioritised pipeline of ecommerce and conversion optimisation opportunities across the digital sales function.

Your Skills & Experience

• Strong experience within ecommerce, digital sales, digital trading or online commercial growth environments.
• Proven ability to analyse digital performance and conversion data to drive commercial outcomes.
• Experience working with customer journeys, ecommerce funnels and conversion optimisation initiatives.
• Working knowledge of Adobe Analytics and confidence using digital analytics tools to answer business questions.
• Experience with Contentsquare or similar behavioural analytics platforms is advantageous.
• Understanding of CRO methodologies, experimentation and digital customer experience optimisation.
• Strong commercial judgement and experience translating data into practical recommendations.
• Ability to build relationships and influence stakeholders across Product, UX, Insight, Trading and Digital teams.
• A proactive, ownership-led approach with the confidence to identify priorities and drive initiatives forward.

How to Apply

If you are an Ecommerce Growth Manager who enjoys combining analytics, commercial thinking and digital optimisation within a fast-paced telecommunications environment, apply today to learn more about this contract opportunity.

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Ecommerce Growth Manager

London | Hybrid (1x a week) | £300-350/day | 3-4 month initial contract | Outside IR35

An exciting opportunity to join a major consumer-focused organisation on a high-impact ecommerce growth project. This contract will play a key role in driving digital sales performance, identifying commercial opportunities, and enhancing online customer journeys across multiple product areas. You will work with a range of stakeholders to turn data-driven insights into tangible business outcomes.

The Company

They are a well-established organisation with a significant digital customer base and a strong focus on ecommerce performance. Their digital teams are delivering a range of merchandising, pricing and optimisation initiatives to support ambitious growth objectives. They are seeking additional ecommerce expertise to help identify and prioritise opportunities that improve online sales performance. This is a collaborative environment where commercial thinking and stakeholder engagement are highly valued.

The Role and Deliverables

• Analyse ecommerce performance, digital sales trends and conversion metrics to identify commercial opportunities and risks.
• Monitor performance against targets and forecasts, providing regular insight and recommendations to stakeholders.
• Assess customer journeys and conversion funnels, identifying friction points and opportunities to improve the online experience.
• Partner with CRO, Product, UX, Trading and Insight teams to prioritise and progress optimisation initiatives.
• Support experimentation and conversion rate optimisation activity through evidence-based recommendations and opportunity sizing.
• Deliver regular reporting, forecasting, competitor analysis, optimisation backlogs and performance improvement plans.

Your Skills & Experience

• Strong experience within ecommerce, digital sales, digital trading or online growth environments.
• Proven ability to analyse digital performance and convert insights into commercially focused actions.
• Experience working with ecommerce customer journeys, conversion funnels and optimisation initiatives.
• Working knowledge of Adobe Analytics and confidence using analytics platforms to inform decision-making.
• Familiarity with behavioural analytics tools such as Contentsquare or similar platforms.
• Understanding of conversion rate optimisation and experimentation methodologies.
• Strong stakeholder management skills with the ability to influence cross-functional teams.
• Commercial mindset with experience supporting forecasting, trading decisions and growth strategies.
• Ability to take ownership of initiatives, maintain momentum and proactively drive outcomes.

How to Apply

If you are an Ecommerce Growth Manager with strong commercial acumen and a passion for ecommerce optimisation, apply today to discuss this contract opportunity further.

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Ecommerce Growth Manager

Hybrid – London (1 day a week in the office)

This is an exciting contract opportunity to join a high-profile digital sales transformation programme. You will play a key role in identifying ecommerce growth opportunities, improving customer journeys, and driving commercial performance across key digital channels.
The Company
They are a large, consumer-focused organisation undertaking significant digital growth initiatives across their online sales function. With a strong focus on customer experience, digital optimisation, and commercial performance, they are investing in initiatives designed to enhance online conversion and unlock new growth opportunities. You will work alongside experienced teams across digital sales, product, UX, insight, trading, and optimisation functions to deliver measurable business impact.
The Role and Deliverables

• Analyse digital sales performance, identify trends, risks, and growth opportunities across key product areas.
• Monitor performance against commercial targets and provide forecasting, reporting, and actionable insights.
• Review customer journeys and conversion funnels to identify friction points and opportunities for improvement.
• Partner with optimisation, product, UX, and trading teams to prioritise and progress ecommerce initiatives.
• Support experimentation and conversion rate optimisation activity through evidence-based recommendations.
• Deliver regular stakeholder updates, competitor analysis, optimisation roadmaps, and performance improvement plans.

Your Skills & Experience

• Strong experience in ecommerce, digital sales, digital trading, or online commercial growth environments.
• Demonstrated capability in analysing digital performance data and translating insights into commercial actions.
• Experience working with ecommerce funnels, customer journeys, and conversion optimisation initiatives.
• Working knowledge of Adobe Analytics and confidence using analytics tools to answer business questions.
• Familiarity with behavioural analytics platforms such as Contentsquare or similar tools.
• Strong understanding of commercial performance metrics, forecasting, and digital trading activity.
• Ability to collaborate effectively with cross-functional teams including Product, UX, CRO, Insight, and Trading.
• Excellent stakeholder management skills with the confidence to influence priorities and drive initiatives forward.
• A proactive approach with a strong sense of ownership and accountability for delivering outcomes.

How to Apply
If you are an Ecommerce Growth Manager with a strong commercial mindset and a passion for driving digital growth, apply today to discuss this contract opportunity further.

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This is a high-impact contract opportunity for a commercially minded strategy professional who enjoys solving complex pricing and packaging challenges. You will help shape customer propositions in a rapidly evolving consumer media environment, using data, commercial insight, and strategic thinking to influence key business decisions.

The Company

They are a well-established consumer subscription business operating within the media and entertainment sector. The organisation is focused on delivering compelling customer experiences through innovative packaging, pricing, and content strategies. Working cross-functionally with commercial, pricing, and strategy teams, they use data-driven decision making to drive growth and retention. This contract offers the opportunity to contribute directly to high-profile strategic initiatives.

The Role and Deliverables

• Lead and support end-to-end packaging and pricing business cases, including market sizing, hypothesis development, commercial evaluation, and test recommendations.
• Own recurring add/drop content and network decision-making, balancing cost, customer engagement, churn risk, and competitive positioning.
• Translate complex programming and content economics into clear consumer packaging recommendations.
• Interpret market research, pricing analysis, customer surveys, UX insights, contact centre signals, and churn analysis to develop decision-ready viewpoints.
• Challenge assumptions, evaluate alternative scenarios, and provide evidence-based recommendations to senior stakeholders.
• Collaborate closely with pricing, planning, and commercial strategy teams to optimise package performance and customer outcomes.

Your Skills & Experience

• Strong experience in pricing strategy, commercial strategy, packaging strategy, or related analytical functions.
• Advanced Excel and spreadsheet modelling skills, including pricing scenarios, sensitivity analysis, and market sizing.
• SQL proficiency with the ability to query, extract, validate, and analyse data independently.
• Strong data interpretation and visualisation capabilities using tools such as Tableau, Power BI, or similar platforms.
• Experience working with customer, survey, behavioural, churn, or operational datasets to support strategic decision-making.
• Excellent communication and storytelling skills, with the ability to translate analysis into clear PowerPoint presentations and recommendations.
• Strong understanding of subscription-based consumer businesses, ideally within pay TV, streaming, telecommunications, or digital media environments.
• Ability to navigate complex commercial trade-offs and influence stakeholders through insight-led thinking.
• Exposure to Databricks, Python, R, AI-enabled market intelligence tools, media measurement platforms, or test-and-learn methodologies would be advantageous.

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Senior Data Scientist (Contract)
London (Hybrid or Remote)
This is an opportunity to join an early-stage AI business tackling a complex, real-world data challenge. As a Senior Data Scientist, you will take ownership of building production-ready classification and inference models across large industrial datasets, helping establish modelling standards and best practices from the ground up.
The Company
They are an AI-focused organisation developing a data-driven understanding of global industrial systems. Their work combines advanced data science, machine learning, and domain expertise to create structured intelligence from complex, fragmented datasets. Operating at an early stage, they offer the chance to have a direct impact on both technical direction and product development.
The Role and Deliverables

• Profile, explore, and assess complex industrial datasets, including facilities, supply chains, and product information.
• Establish robust modelling foundations through baseline creation, evaluation set design, and metric definition.
• Build and deploy production classification models and matching or inference models.
• Measure, document, and communicate model performance, including error rates and error analysis.
• Apply LLMs appropriately for tasks such as extraction, constrained labelling, and code generation, supported by rigorous evaluation frameworks.
• Contribute independent technical judgement and help define modelling standards within the organisation.

Your Skills & Experience

• Strong experience building and deploying machine learning models into production environments where accuracy and reliability are critical.
• Advanced Python skills, including hands-on experience with pandas and scikit-learn.
• Strong statistical reasoning and a structured approach to model evaluation and validation.
• Ability to clearly explain model performance, evaluation methodology, and known failure modes.
• Experience designing and maintaining evaluation frameworks for machine learning models.
• Experience building LLM-powered workflows with genuine evaluation and monitoring processes is highly desirable.
• Comfortable working autonomously in a fast-paced environment with a high degree of ownership.

How to Apply
If you are a hands-on Senior Data Scientist with proven experience delivering production machine learning solutions, apply today to discuss this contract opportunity in more detail.

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Senior DevOps Engineer (GCP)
£550 – £650 per day
UK Remote

This is an opportunity to play a pivotal role in the build of a next-generation AI data platform. The project focuses on creating a scalable, secure, and highly automated cloud foundation that enables enterprise-grade AI use cases, supporting large-scale data processing and high-availability access services.

The Company
They are a technology-driven organisation investing in modern cloud infrastructure to support advanced AI and data products. Their focus is on delivering secure, scalable, and reliable platforms that enable long-term innovation. As part of a major transformation programme, they are building a cloud-native environment designed to support significant data volumes and mission-critical services. This engagement offers the chance to influence key architectural decisions and leave a lasting impact on the platform.

The Role and Deliverables

• Own the shared Google Cloud Platform foundation supporting multiple platform services and data products.
• Provision and maintain development, QA, and production environments using Terraform.
• Design and implement automated CI/CD pipelines, deployment workflows, rollback processes, and recovery procedures.
• Establish secure cloud infrastructure including IAM, secrets management, networking, and tenant isolation controls.
• Build observability capabilities through monitoring, logging, alerting, and reliability tooling.
• Create operational documentation, runbooks, and deliver knowledge transfer to support successful handover.

Your Skills & Experience

• Strong hands-on experience designing and managing enterprise-scale Google Cloud Platform environments.
• Advanced capability with Terraform and Infrastructure as Code best practices.
• Experience with Docker, OCI-compatible container technologies, and cloud-native compute services.
• Expertise building and maintaining modern CI/CD pipelines using tools such as GitHub Actions or GitLab CI.
• Strong understanding of security, IAM, cloud networking, secrets management, and security scanning tools.
• Proven ability to implement monitoring, logging, alerting, and platform observability solutions.
• Experience working across complex cloud ecosystems, including integration with other cloud platforms and modern data technologies.
• Ability to document solutions clearly and support operational handover to internal teams.

How to Apply
If you are a Senior DevOps Engineer with strong GCP and Terraform expertise and are looking to contribute to a high-impact AI platform project, please apply today.

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Senior Data Scientist (Contract)

3 Months Initial (possibility to extend)

Hybrid, London

£500 – £600 Per Day

Immediate Start

The Company

They are an early-stage AI organisation focused on developing advanced data products for a complex global industry. Their work combines machine learning, data modelling, and modern AI techniques to generate meaningful insights from rich, real-world datasets. With a strong technical culture and deep domain expertise, they are looking for an experienced contractor to help deliver critical data science capabilities at an important stage of growth.

The Role and Deliverables

• Profile, analyse, and explore complex industrial datasets to identify modelling opportunities and data quality considerations.
• Establish baseline approaches and define robust evaluation datasets, metrics, and validation frameworks.
• Build and deploy classification, matching, and inference models for production use.
• Measure model performance and produce detailed error analysis to support ongoing improvement.
• Apply LLMs in appropriate use cases such as extraction, constrained labelling, and code generation, supported by clear evaluation processes.
• Collaborate with domain experts to translate complex business challenges into practical machine learning solutions.

Your Skills & Experience

• Strong experience building and deploying machine learning models in production environments where accuracy and reliability are critical.
• Advanced Python skills, including hands-on use of pandas and scikit-learn.
• Strong statistical knowledge and the ability to design effective validation and evaluation methodologies.
• Experience assessing model performance, analysing errors, and communicating findings clearly.
• Capability to build or contribute to LLM-powered workflows with robust evaluation frameworks.
• Comfortable working independently and taking ownership of technical standards and delivery.
• Ability to work effectively with subject matter experts in unfamiliar domains.

How to Apply

If you’re a hands-on Senior Data Scientist looking for an impactful contract opportunity with a strong technical challenge, please apply with your latest CV for consideration.

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Senior DevOps Engineer (GCP)

About Harnham

Harnham is the global leader in Data & Analytics recruitment. We partner with organisations across cloud, AI, data engineering, and technology to connect top contract talent with transformational projects.

About the Client

Our client is a specialist consulting organisation delivering a high-profile cloud and AI transformation programme for a major enterprise organisation. The project focuses on building secure, scalable infrastructure that enables next-generation data products and services.

Role Details

• Role: Senior DevOps Engineer (GCP)
• Location: Remote (US based)
• Pay Rate: $65-$90/hr
• Contract Length: 4 Months
• Start Date: August 24th

About the Role

We are seeking a Senior DevOps Engineer to own the cloud platform foundation for a large-scale enterprise data initiative. This role will focus heavily on infrastructure automation, platform engineering, security, observability, and deployment automation.
The successful candidate will help establish a secure, highly available cloud environment while creating the tooling and processes needed to support ongoing delivery and operational excellence.

Key Responsibilities

• Build and maintain cloud infrastructure using Infrastructure as Code (Terraform)
• Design and support CI/CD pipelines across multiple services and applications
• Implement cloud security, IAM, networking, and secrets management controls
• Develop monitoring, alerting, and operational observability capabilities
• Partner with engineering teams to improve platform reliability and deployment processes
• Create operational runbooks and support knowledge-transfer activities

Requirements

Must Have

• Strong hands-on Google Cloud Platform (GCP) experience
• Advanced Terraform experience including state management
• Experience building modern CI/CD pipelines
• Containerisation experience using Docker and cloud-native platforms
• Strong cloud security, IAM, networking, and secrets management knowledge
• Monitoring and observability experience using cloud-native or third-party tooling

Nice to Have

• MLOps or AI platform support experience
• Experience with GitHub Actions or GitLab CI
• Exposure to Snowflake environments
• Cross-cloud experience working across GCP and AWS
• Experience supporting high-scale data processing platforms

Apply

If you enjoy building cloud platforms from the ground up and want to play a key role in a major cloud transformation programme, we’d be interested in speaking with you.

WE WILL NOT BE ENGAGING WITH THIRD PARTIES FOR THIS SEARCH

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Data Architect / Cloud Architect (GCP)

About Harnham

Harnham is the global leader in Data & Analytics recruitment. We partner with innovative organisations across data, cloud, AI, and technology to connect exceptional talent with impactful opportunities.

About the Client

Our client is a leading consultancy delivering a large-scale cloud and AI transformation for a well-known organisation in the digital media space. The project focuses on modernising data access, governance, and infrastructure to support next-generation AI products and services.

Role Details

• Title: Senior Data Architect / Cloud Architect
• Contract Length: 4 Months
• Start Date: 24 August
• Rate: $75-$100/hr
• Location: Remote (US based)

About the Role

We are seeking an experienced Senior Data Architect to lead the design and architecture of a complex cloud-based data platform. This individual will act as the senior technical authority across architecture decisions, helping define the platform foundation, security model, integration strategy, and delivery roadmap.
The successful candidate will work closely with consultants, engineers, and client stakeholders to create scalable, secure, and highly available solutions supporting large-scale data access and AI-driven workloads.

Key Responsibilities

• Lead architecture discovery, solution design, and technical planning activities
• Define cloud platform architecture and infrastructure standards
• Create scalable data ingestion, processing, and delivery solutions
• Design secure identity, access control, and governance frameworks
• Drive integration between cloud platforms, data systems, and event-driven services
• Serve as senior escalation point for architecture decisions and stakeholder discussions

Must Have

• Extensive experience designing enterprise-scale data platforms in Google Cloud Platform (GCP)
• Strong background delivering cloud architecture across complex environments
• Deep expertise with Terraform and Infrastructure as Code
• Experience integrating data platforms, APIs, streaming technologies, and cloud services
• Strong understanding of security, access management, governance, and compliance controls
• Excellent communication skills with experience leading technical workshops and architecture reviews

Nice to Have

• AI/ML platform or data product experience
• Exposure to Snowflake environments
• Experience with Kafka or large-scale event streaming architectures
• Data marketplace or Data-as-a-Service platform experience
• Multi-cloud architecture experience

Apply

If you’re an experienced Data Architect looking to make a significant impact on a high-profile AI and cloud transformation initiative, we’d love to hear from you.

WE WILL NOT BE ENGAGING WITH THIRD PARTIES FOR THIS SEARCH

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Senior Data Architect / Solution Architect (GCP)

WE WILL NOT BE PARTNERING WITH AGENCIES.

We’re partnering with a leading data consultancy supporting a major media conglomerate on the development of a next-generation AI Data Platform. This is a highly visible architecture engagement with an urgent need and a potential start date as early as August 24, 2026.

Duration: 4-month contract (mid-December wind down)
Location: Remote (U.S. Eastern Time preferred)
Extendable: Yes
Utilization: 40 hours per week
Rate: $70-$90/hour

The Opportunity

As the lead architect, you’ll serve as the technical authority responsible for designing and defining a large-scale AI and data platform that enables governed access to data products for AI training, inference, and evaluation. You’ll lead discovery efforts, establish the architecture baseline, and drive key technical decisions across a complex cloud ecosystem.

Responsibilities

• Lead architecture discovery sessions, workshops, and design reviews
• Architect enterprise-scale solutions utilizing Google Cloud Platform (GCP)
• Design secure, scalable data ingestion, processing, and delivery capabilities
• Establish cloud foundation and Infrastructure-as-Code standards using Terraform
• Design integrations across GCP, AWS, Snowflake, Kafka, and Fastly environments
• Define security, IAM, governance, entitlement, and tenant-isolation frameworks
• Partner directly with client stakeholders, engineering teams, and cloud partners to ensure successful delivery

Required Experience

• Deep expertise designing enterprise-scale data platforms on Google Cloud Platform (GCP) (required)
• Proven experience leading Solution Architecture and Data Architecture initiatives
• Strong hands-on experience with Terraform and Infrastructure as Code (IaC)
• Experience integrating complex ecosystems including Snowflake, AWS, and Kafka
• Strong understanding of API architecture, cloud security, IAM, and data governance
• Exceptional communication and stakeholder management skills

Preferred Experience

• AI/ML platform experience, including Vertex AI and modern data product architectures
• Experience building Data Marketplace or Data-as-a-Service (DaaS) platforms
• Experience operating within large-scale, multi-cloud environment

NO THIRD PARTIES OR AGENCIES.

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This is an opportunity to join a highly visible data engineering project where the quality and reliability of data has a direct impact on commercial performance. You’ll work across the full data lifecycle, helping to improve critical systems that support decision-making, revenue attribution, and business growth.

The Company

They are a fast-growing technology business operating in a data-driven digital environment within the online betting and gaming eco system. Data sits at the heart of their platform, supporting customer engagement, commercial insights, and operational decision-making. As they continue to scale, they are investing in the systems, processes, and engineering talent required to ensure their data remains accurate, reliable, and actionable. This role sits within a specialist engineering team responsible for maintaining and enhancing key data capabilities.

The Role and Deliverables

• Build, maintain, and enhance backend data collection and processing systems.
• Develop and support Python-based data collection and web scraping solutions.
• Integrate and manage data from external APIs and third-party platforms.
• Investigate data quality issues, troubleshoot collection failures, and improve overall reliability.
• Work with PostgreSQL, SQL, and cloud-based data environments to process and validate large datasets.
• Collaborate with business stakeholders to understand the commercial importance of the data and drive meaningful improvements.

Your Skills & Experience

• Strong experience with Python and PHP in backend or data-focused environments.
• Proven capability working with PostgreSQL and SQL to manage and analyse large datasets.
• Experience integrating with external APIs and third-party data sources.
• Strong understanding of data collection, validation, and processing workflows.
• Experience using web scraping technologies such as Playwright, Selenium, BeautifulSoup, or Scrapy.
• Ability to investigate technical issues, identify root causes, and take ownership of solutions.
• Familiarity with Snowflake or similar modern data platforms is advantageous.
• Experience working with commercially critical datasets in high-volume digital environments is beneficial.

How to Apply

If you’re a hands-on Software/Data Engineer who enjoys taking ownership of complex data challenges and delivering measurable business impact, please apply with your latest CV.

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Senior Data Scientist
London | Hybrid (2-3 days per week) | 6-Month Contract | £550-£600 per day | Outside IR35
This is an exciting opportunity for a Data Scientist to join a leading retail organisation on a high-profile data transformation programme. You will work on projects that directly influence customer experience, commercial performance, and operational efficiency, using advanced analytics and machine learning to drive business outcomes.
The Company
They are a well-established retail business undergoing significant investment in their data and analytics capabilities. With a strong focus on leveraging data to improve decision-making, they are building scalable solutions that support both customer and commercial objectives. You will join a collaborative environment where data plays a central role in shaping strategy and performance.
The Role and Deliverables

• Develop and implement machine learning models to address key business challenges.
• Analyse large and complex datasets to uncover actionable insights.
• Work closely with stakeholders across the business to understand requirements and deliver analytical solutions.
• Build predictive models focused on customer behaviour, demand forecasting, and performance optimisation.
• Present findings and recommendations to technical and non-technical audiences.
• Support the development of best practices across data science, experimentation, and model deployment.

Your Skills & Experience

• Strong experience developing and deploying machine learning models in a commercial environment.
• Advanced Python skills and experience with common data science libraries.
• Experience working with large datasets and cloud-based data platforms.
• Strong understanding of statistical modelling, predictive analytics, and experimentation.
• Ability to communicate complex analytical findings clearly to stakeholders.
• Experience within retail, eCommerce, or consumer-focused businesses is advantageous.
• Strong stakeholder management and problem-solving skills.

How to Apply
If you are a Data Scientist seeking your next contract opportunity in London and are interested in delivering impactful projects within a retail environment, please apply with your latest CV.

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