To Apply for this Job Click Here

Data Coach

London (1 day per week onsite) | £60,000 – £75,000 + Benefits

This is an excellent opportunity for a Data Coach to combine technical expertise with coaching, training, and client engagement. Working across Data, Analytics, BI and AI, you’ll play a key role in developing future data professionals while also delivering impactful training programmes to a range of external clients.

The Company
They are a specialist data and analytics consultancy with a strong focus on developing technical talent and delivering high-quality training solutions. Operating across a variety of sectors, they help organisations build data capability through tailored learning programmes and practical, business-focused training. Their collaborative culture offers the chance to work closely with both learners and client stakeholders while influencing training strategy and content development.

The Role
You will:

• Design and deliver technical training across Excel, SQL, Python, Power BI, Tableau, Data Modelling, Cloud Technologies and AI
• Deliver structured learning programmes for early-career data professionals
• Create bespoke training solutions for external client organisations
• Develop and update training materials, assessments and practical exercises
• Adapt content and facilitation techniques to suit different technical audiences
• Provide coaching, mentoring and feedback to support learner development
• Partner with clients to identify training needs and shape learning programmes
• Support continuous improvement of the wider technical curriculum
• Manage training projects from planning through to delivery

Your Skills & Experience

• Strong hands-on experience with several core data tools including SQL, Python, Power BI, Tableau and Excel
• Experience delivering technical training, teaching, coaching or mentoring
• Ability to simplify complex technical concepts for varied audiences
• Experience designing learning content, workshops or structured training programmes
• Excellent communication, presentation and stakeholder management skills
• Commercial experience within Data Analytics, BI, Data Science, Data Engineering or a related field
• Experience working with clients or within a consulting environment is advantageous
• Exposure to AI or Generative AI tools would be beneficial

What They Offer

• Salary of £60,000 – £75,000 depending on experience
• Primarily remote working with one day per week in London
• Opportunity to shape training programmes and technical curriculum
• Exposure to a broad range of data, analytics and AI technologies
• Strong career progression within a growing and highly respected data consultancy
• Collaborative and supportive environment with significant autonomy

How to Apply
If you’re passionate about developing data talent and delivering engaging technical training, apply today to discuss this Data Coach opportunity in more detail.

To Apply for this Job Click Here

To Apply for this Job Click Here

ANALYTICS ENGINEER
LONDON/HYBRID
UP TO £80,000

This is an exciting opportunity for an Analytics Engineer to take ownership of the full data lifecycle within a growing, data-driven business. You’ll work across analytics engineering, data engineering, and business intelligence, helping shape how data powers decision-making, product development, and commercial growth.

ROLES AND RESPONSIBILITIES:
The Analytics Engineer will:

• Design, build, and maintain end-to-end data pipelines from source systems through to analytics-ready datasets
• Develop scalable and well-documented transformation pipelines using dbt and BigQuery
• Write and maintaining Python-based data ingestion and automation processes
• Create dashboards, reports, and KPI frameworks to support commercial, marketing, and product teams
• Collaborate with technical and non-technical stakeholders to translate business requirements into data solutions
• Monitor data quality and identifying opportunities to improve platform performance and scalability
• Support the adoption of self-service analytics across the organisation

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

• Strong commercial experience with Google Cloud Platform, particularly BigQuery and related cloud services
• Hands-on expertise with dbt, including testing, documentation, and data modelling
• Advanced SQL skills with experience optimising queries and building analytical datasets
• Strong Python skills for data extraction, automation, and orchestration
• Experience building dashboards and reporting solutions using BI tools such as Looker Studio, Metabase, or similar
• Familiarity with Git, version control, and modern engineering practices
• Ability to communicate effectively with both technical teams and business stakeholders
• Comfortable working in a fast-paced environment and taking ownership of projects from inception to delivery

APPLY BELOW

To Apply for this Job Click Here

To Apply for this Job Click Here

BI Developer
London/Hybrid
Up To £60,000

This is an excellent opportunity for a BI Developer to join a specialist data consultancy delivering high-impact projects for clients across the private capital and investment sector. You’ll work on complex data integration challenges, gain exposure to a variety of client environments, and play a key role in building scalable data solutions that drive business decision-making.

The Company
They are a growing data and technology consultancy that helps investment-focused organisations unlock greater value from their data. Combining advisory expertise with a proprietary data platform, they deliver solutions across reporting, analytics, system integration, and operational efficiency. With an established client base and a strong reputation in their market, they offer a collaborative environment where individuals are encouraged to take ownership and develop their technical expertise.

The Role
As a BI Developer, you will work closely with analysts, developers, and client stakeholders to design and deliver robust data solutions.
Key responsibilities include:

• Building and maintaining ETL pipelines across a range of client environments
• Developing, optimising, and supporting complex T-SQL solutions
• Designing and enhancing semantic, tabular, and dimensional data models
• Supporting data warehousing initiatives and reporting capabilities
• Developing and maintaining DAX calculations and analytical models
• Troubleshooting data issues and resolving technical challenges
• Collaborating with analysts to translate business requirements into technical solutions
• Working directly with client data environments and contributing to solution design
• Supporting the delivery of data integration projects across varying architectures and technology stacks
• Managing changing priorities while maintaining high-quality delivery

Your Skills & Experience
You will ideally have:

• Strong commercial experience with SQL, preferably T-SQL
• Experience designing and building ETL pipelines
• SQL Server development experience
• Strong understanding of data warehousing principles
• Experience with dimensional modelling, including concepts such as star schema, semantic models, tabular models, and Kimball methodologies
• Exposure to DAX and analytical modelling
• Experience working across complex data environments
• Strong stakeholder communication skills and the ability to work with evolving requirements
• Experience within a consultancy or project-based environment, or evidence of delivering multiple concurrent initiatives in a fast-paced setting
• Python experience would be advantageous but is not essential

What They Offer

• £50,000 – £60,000 base salary
• Hybrid working model with three days per week in the London office
• Fixed-term contract with strong potential for longer-term opportunities
• Exposure to leading organisations within the private capital and investment space
• Opportunity to work with modern data technologies and proprietary platforms
• Varied, project-driven work across different client environments
• Investment in professional development, training, and certifications
• A collaborative culture that values autonomy, ownership, and continuous learning

How to Apply
If you’re a BI Developer with strong SQL, ETL, and data modelling expertise looking to broaden your experience within a specialist consultancy environment, please apply with your CV to be considered.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Analytics Consultant
London / 1 day per month in the office
Up to £90,000 + Bonus

This is an opportunity to join a growing analytics function focused on building high-impact, production-ready analytical products. Rather than delivering one-off reporting, you’ll create scalable tools and applications that are used by both internal stakeholders and external clients, directly influencing business decisions and user experiences.

The Company
They are a well-established organisation with a growing focus on data and analytics innovation. Their analytics team operates as a business-facing function, partnering closely with consultants, commercial stakeholders and project teams to solve complex challenges. The team is investing in reusable products, frameworks and analytical applications designed to deliver long-term value. With continued growth plans, this is an excellent opportunity to play a key role in shaping the future of analytics delivery.

The Role
You will work across the full product lifecycle, from initial concept and requirements gathering through to deployment and user adoption.
Responsibilities include:

• Building production-ready analytical products and applications for business users
• Developing interactive dashboards, tools and data-driven applications
• Partnering directly with stakeholders to understand requirements and shape solutions
• Delivering analytical products that create measurable business impact
• Creating reusable frameworks, templates and components to improve team efficiency
• Translating complex business problems into practical analytical solutions
• Driving adoption and ongoing enhancement of analytical products
• Working in a highly collaborative, geographically distributed team environment

Your Skills & Experience

• Strong commercial experience developing analytical products and user-facing applications
• Advanced Python development skills
• Experience with technologies such as Shiny for Python, R Shiny, Streamlit, Dash or similar application frameworks
• Ability to take products from idea through to production deployment
• Strong stakeholder engagement and consulting capabilities
• Experience solving ambiguous business problems through data and analytics
• Comfortable working in a hands-on environment with a focus on building and delivering solutions independently
• Experience creating scalable and reusable analytical assets
• Backgrounds focused primarily on backend data engineering or data pipeline development are unlikely to align with the requirements of this role

What They Offer

• Lead salary of £90,000
• 25% bonus opportunity
• 10% pension contribution
• Comprehensive benefits package
• Flexible working with only one day per month required in London
• Opportunity to build impactful analytics products used across a growing business
• Clear scope to influence product strategy, delivery approaches and best practices
• Lead level role offers significant autonomy while remaining fully hands-on

How to Apply
If you have strong experience building analytical products with Python and enjoy working closely with stakeholders to deliver scalable, user-focused solutions, apply today for a confidential discussion.

To Apply for this Job Click Here

To Apply for this Job Click Here

Analytics Engineer

Salary: Up to £80,000

London /Hybrid

The Overview

Looking for a role where you can own the full data lifecycle and directly influence business growth? This is an opportunity to join a fast-scaling digital business at a pivotal stage of its expansion, working across analytics engineering, data engineering, BI, and commercial analytics in a highly autonomous environment.

The Company

This growing consumer-focused technology business operates a subscription-based digital platform and is expanding internationally following significant recent success. With a strong product roadmap and new offerings launching across multiple markets, data sits at the heart of strategic decision-making. They are investing heavily in their data capabilities and building a scalable, modern data platform to support future growth. You will work closely with senior leadership in a collaborative, fast-paced environment where your work will have visible impact.

The Role

As an Analytics Engineer, you will work closely with the Head of Data and take ownership of key areas of the data ecosystem.

Responsibilities include:

• Building and maintaining end-to-end data pipelines from multiple source systems.
• Developing scalable data models using SQL, dbt, and BigQuery.
• Creating and managing data ingestion workflows using Python and APIs.
• Designing dashboards, KPI reporting, and self-service analytics solutions in Looker, Data Studio, or similar BI tools.
• Collaborating with engineering, product, marketing, and commercial teams to deliver data-driven solutions.
• Improving data quality, governance, and platform scalability.
• Supporting business growth initiatives through analytics and insight generation.
• Contributing to the development of a modern cloud-based data platform.

Your Skills & Experience

• Strong commercial experience with SQL and data modelling.
• Hands-on experience with Google Cloud Platform, particularly BigQuery.
• Proven expertise using dbt to build and maintain analytics models.
• Python experience for data ingestion, automation, and pipeline development.
• Experience creating dashboards and reporting solutions using Looker, Data Studio, Metabase, or similar BI tools.
• Familiarity with Git version control and CI/CD principles.
• The ability to work independently and thrive in a scaling, fast-moving environment.
• Strong communication skills with both technical and non-technical stakeholders.

What They Offer

• Salary up to £80,000.
• Equity participation after qualifying period.
• Pension and healthcare-related benefits.
• Hybrid working model with three office days per week.
• Direct exposure to senior leadership and strategic decision-making.
• Significant ownership across data engineering, analytics engineering, BI, and business analytics.
• Opportunity to shape a growing data platform during a major period of international expansion.
• Excellent scope for long-term career development as the business scales

How to Apply

If you’re an Analytics Engineer who enjoys combining technical delivery with commercial impact and wants to help shape a growing data function, apply today to learn more about this opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Growth Analyst
Remote (UK)
Up to £75,000

This is an opportunity to join a high-growth digital business at a pivotal stage in its journey. As a Lead Growth Analyst, you’ll work at the intersection of Marketing and Product, helping shape strategic growth decisions, identify new opportunities, and influence how the business scales over the coming years.

The Company
They are a fast-growing consumer technology business with an established digital product and ambitious plans for continued expansion. Operating in a highly data-driven environment, they are investing heavily in analytics to support the next phase of growth. Their analytics function plays a central role in commercial decision-making, partnering closely with Marketing, Product, and senior stakeholders across the business.

The Role
You will join a growing Analytics team and lead strategic growth analysis across Marketing and Product.

Responsibilities include:

• Leading end-to-end analysis on key growth initiatives, from problem definition through to recommendations and impact measurement.
• Identifying, sizing, and prioritising opportunities to drive acquisition, retention, advocacy, and overall business growth.
• Supporting major cross-functional projects across Marketing and Product teams.
• Developing frameworks to improve marketing investment decisions, including spend optimisation and growth planning.
• Using experimentation, A/B testing, customer behaviour analysis, and performance measurement to inform strategic decisions.
• Translating complex analysis into clear commercial recommendations for senior stakeholders.
• Acting as a trusted analytical partner and helping to coach and develop other analysts within the team.

Your Skills & Experience

• Strong commercial experience within Growth Analytics, Marketing Analytics, Product Analytics, or a related analytical discipline.
• Experience working within a digital product, consumer technology, marketplace, subscription, or high-growth business environment.
• Deep understanding of customer acquisition, growth strategy, marketing effectiveness, and customer journeys.
• Experience with experimentation, incrementality testing, attribution, MMM, or other advanced measurement methodologies.
• Advanced SQL skills and experience using Python or R for analysis.
• Strong stakeholder management skills with the ability to influence decision-making through data.
• Experience coaching, mentoring, or supporting analytical colleagues would be beneficial.

What They Offer

• Bonus scheme and competitive benefits package.
• Flexible remote working environment.
• The opportunity to shape growth strategy during a critical scaling phase.
• Exposure to senior stakeholders and high-impact business initiatives.
• Clear progression opportunities as the analytics function continues to expand.

How to Apply
If you’re passionate about using data to drive growth and want to influence strategic decisions within a scaling technology business, apply today to learn more about this exciting Lead Growth Analyst opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Coach
London (Primarily Remote, with monthly travel to London)
Up to £75,000

If you enjoy helping others develop technical data skills while shaping modern Data, Analytics, and AI learning programmes, this is an opportunity to have a direct impact. This role combines technical training delivery, curriculum design, stakeholder engagement, and consulting exposure, offering a varied and rewarding career path within a growing data-focused environment.

The Company
They are a specialist organisation focused on developing data and analytics capability for both internal consultant communities and external client teams. Through structured training programmes, they help individuals build practical technical skills that can be applied in real business environments. Their work spans Data, Analytics, Business Intelligence, and AI, with a strong emphasis on hands-on learning and measurable outcomes. They are committed to continuous learning, professional development, and delivering high-quality training experiences.

The Role
You will play a key role in designing and delivering technical training programmes across a range of Data and Analytics technologies.

Responsibilities include:

• Delivering engaging technical training across areas such as SQL, Python, Power BI, Tableau, Excel, Data Modelling, Cloud technologies, and AI.
• Designing and maintaining learning content, practical exercises, projects, and assessments.
• Delivering structured training programmes to early-career data professionals.
• Partnering with external stakeholders to understand learning objectives and create tailored training solutions.
• Adapting training content and delivery methods to suit different levels of technical knowledge and business requirements.
• Providing coaching, mentoring, and constructive feedback to learners.
• Supporting the ongoing development and enhancement of technical curricula.
• Managing training projects from planning through to delivery.
• Collaborating with training, consulting, and commercial teams to ensure successful programme outcomes.
• Creating practical learning experiences based on real-world business scenarios.

Your Skills & Experience

• Strong hands-on experience across several Data & Analytics tools, including SQL, Python, Power BI, Tableau, and Excel.
• Experience delivering technical training, coaching, mentoring, teaching, or facilitating workshops.
• Ability to design engaging technical learning content and structured training programmes.
• Excellent communication and presentation skills.
• Confidence explaining technical concepts to audiences with varying levels of experience.
• Strong stakeholder management and client-facing skills.
• Ability to work independently, manage priorities, and take ownership of projects.
• Commercial experience in Data Analytics, Business Intelligence, Data Science, Data Engineering, or a related discipline.
• Exposure to consulting, professional services, or corporate training environments would be advantageous.
• Knowledge of AI and Generative AI technologies would be beneficial.

What They Offer

• Opportunity to influence and shape technical learning programmes.
• Exposure to a broad range of Data, Analytics, and AI technologies.
• Career progression within a growing and evolving data-focused business.
• Varied work across training delivery, curriculum development, and stakeholder engagement.

How to Apply
If you are passionate about Data, Analytics, AI, and developing technical talent, apply today to learn more about this exciting Data Coach opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist
Windsor – 3-4 days per week
Up to £60,000

This is an exciting opportunity to join a growing organisation at a pivotal stage in its data and AI journey. You’ll play a key role in building a modern analytics capability from the ground up, helping to transform fragmented data into actionable insight while contributing to innovative machine learning, forecasting, and AI initiatives.

The Company
They are a well-established organisation undergoing significant growth and investment in data, analytics, and technology. With an ambitious transformation programme underway, they are modernising their data infrastructure and building a scalable cloud-based platform to support future growth.

Their focus is on improving decision-making through high-quality data, predictive analytics, and AI-enabled applications. Working in a small, collaborative team, you’ll have the opportunity to influence strategy, shape solutions, and see your work deliver tangible business impact.

The Role
As a Data Scientist, you will work closely with senior stakeholders to develop data products, analytical models, and AI-driven solutions that support both operational and commercial objectives.

Key responsibilities include:

• Designing and implementing scalable data models within a modern cloud data platform
• Improving data quality, standardisation, and reconciliation across multiple source systems
• Performing entity resolution and fuzzy matching to create trusted records and improve data integrity
• Developing forecasting models to support business performance, resource planning, and operational decision-making
• Building machine learning and predictive analytics solutions across a range of business challenges
• Supporting AI-driven document processing and information extraction initiatives
• Creating insightful Power BI dashboards and reports for senior leadership teams
• Working with Snowflake to support data warehousing and analytical modelling activities
• Contributing to data governance, testing, and quality assurance processes
• Collaborating with technical and non-technical stakeholders to translate business challenges into analytical solutions

Your Skills & Experience

• Strong commercial experience in Data Science, Advanced Analytics, Analytics Engineering, or a similar field
• Excellent SQL skills and experience working with large, complex datasets
• Experience building data models for analytics and reporting
• Exposure to forecasting, predictive modelling, machine learning, or statistical analysis
• Experience working with data quality improvement, reconciliation, or fragmented datasets
• Knowledge of Power BI for reporting and stakeholder-facing analytics
• Experience working within modern cloud data environments, ideally Snowflake
• Understanding of data warehousing concepts and analytical data modelling
• Strong communication skills with the ability to engage business stakeholders
• STEM-related academic background

Desirable experience:

• Snowflake Cortex, AI applications, or document processing solutions
• Databricks or similar cloud analytics platforms
• CI/CD, Azure DevOps, or software development lifecycle processes
• Identity resolution, record matching, or master data management initiatives

What They Offer

• Opportunity to work on AI, machine learning, forecasting, and data platform projects
• Exposure to senior stakeholders and business-critical initiatives
• A collaborative environment where your work will directly influence business outcomes
• Clear opportunity to grow alongside a rapidly expanding organisation and analytics function

How to Apply
To find out more about this Data Scientist opportunity in Windsor, please submit your application today.

To Apply for this Job Click Here

To Apply for this Job Click Here

Digital Analytics Executive
London (Remote First)
Up to £40,000

This is an excellent opportunity for a Digital Analytics Executive to join a growing analytics function and work alongside highly experienced digital measurement specialists. You’ll gain exposure to enterprise-level analytics projects, modern data platforms, and advanced implementation practices while playing a key role in shaping how digital performance is measured across a large-scale organisation.

The Company
They are a well-known organisation with a significant digital presence and a strong focus on data-driven decision-making. As part of an ongoing investment in analytics and data transformation, they are building modern capabilities across digital measurement, reporting, and self-service analytics.

The analytics team is expanding its technical expertise and investing in new technologies, creating a strong environment for learning, development, and career progression. This is an opportunity to join a collaborative team where your work will have visible impact from day one.

The Role
As a Digital Analytics Executive, you will support the delivery of digital measurement and tracking initiatives across websites, campaigns, and digital products.
Key responsibilities include:

• Supporting the implementation and maintenance of tracking solutions using GA4 and Google Tag Manager
• Assisting with tracking plans, event configurations, and measurement frameworks
• Conducting QA and troubleshooting to ensure data accuracy and reliable reporting
• Working with digital, product, development, and data teams to embed analytics requirements into projects
• Supporting data quality investigations and helping resolve tracking or implementation issues
• Contributing to digital analytics projects involving data layers, reporting, and measurement optimisation
• Assisting with the organisation’s wider data transformation and self-service analytics initiatives
• Learning and developing technical skills across digital measurement, analytics implementation, and data platforms

Your Skills & Experience
You will ideally have:

• Commercial experience working with Google Analytics 4 (GA4)
• Hands-on experience using Google Tag Manager (GTM)
• An understanding of digital analytics implementation and website tracking concepts
• Strong attention to detail and a methodical approach to troubleshooting
• The ability to communicate effectively with both technical and non-technical stakeholders
• An interest in developing knowledge of data layers, tracking architecture, and analytics best practice

Desirable experience includes:

• Exposure to BigQuery
• Exposure to Databricks
• Experience supporting analytics implementations or measurement projects
• Understanding of digital marketing or website performance measurement

What They Offer

• Direct mentorship from experienced digital analytics leaders
• Exposure to advanced GTM implementations and data layer projects
• Opportunity to work on large-scale data transformation initiatives
• Clear scope for skills development across analytics engineering, implementation, and data platforms
• Collaborative and supportive team environment
• Long-term career progression within a growing analytics function

How to Apply
To apply for this Digital Analytics Executive position, please submit your CV for review. Applications are being considered on an ongoing basis.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Pricing Analyst
Cardiff (Hybrid – 1x a week)
Up to £60,000

This is an excellent opportunity for a Pricing Analyst to join a growing lending business and play a key role in shaping pricing strategy for an expanding product area. You’ll work on commercially impactful projects, influence pricing decisions, and help drive innovation in a highly analytical environment.

The Company
This organisation is a well-established financial services business with a strong reputation for data-driven decision-making and customer-focused products. They are investing in the growth of their lending portfolio and are continuing to evolve their pricing capabilities to support ambitious business objectives.

You’ll join a collaborative and technically strong team where knowledge sharing, continuous improvement, and professional development are actively encouraged. The structure is flat and supportive, offering exposure to senior stakeholders and opportunities to contribute to strategic initiatives.

The Role
As a Senior Pricing Analyst, you will support the development and optimisation of pricing strategies across lending products. Working closely with stakeholders across the business, you’ll use data and insight to influence decisions and improve commercial performance.

Key responsibilities include:

• Analysing large and complex datasets to identify pricing opportunities and business insights
• Developing recommendations for pricing changes and clearly communicating the rationale to stakeholders
• Maintaining and enhancing pricing models using Excel and Python
• Querying and analysing live data using SQL
• Monitoring portfolio performance and updating key assumptions within pricing models
• Supporting the development of tiered risk-based pricing strategies
• Contributing to new product and market initiatives, including growth and optimisation projects
• Collaborating with technical and commercial teams to improve pricing agility and performance

Your Skills & Experience
To be successful, you will have:

• Strong commercial experience in pricing, revenue management, commercial analytics, or a related pricing function
• Advanced SQL skills and confidence working with large datasets
• Experience building, maintaining, or enhancing analytical models
• The ability to translate complex analysis into actionable business recommendations
• Exposure to financial services, lending, banking, mortgages, retail finance, or another pricing-focused industry
• Python experience is advantageous but not essential
• A degree in a quantitative, analytical, or related subject

What They Offer

• Exposure to high-profile pricing and strategy projects
• Opportunity to work across multiple lending products and markets
• Strong technical mentorship and ongoing learning opportunities
• Collaborative, non-hierarchical culture with regular team events and socials
• Clear scope to develop your pricing expertise and progress your career within a growing team

How to Apply
If you’re a Pricing Analyst with strong SQL skills and a passion for using data to drive commercial decisions, please apply today to learn more about this opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Forward Deployed Engineer – AI

New York, NY – hybrid, 3 days per week onsite

$230,000 – $250,000 base salary + annual bonus + RSUs

THE COMPANY

Harnham is partnering with a leading global technology business focused on delivering enterprise-grade AI solutions to professional services and large-scale organizations. The company is investing heavily in the next generation of generative AI platforms and is expanding a highly strategic engineering team responsible for deploying cutting-edge AI solutions into complex customer environments.

This is an opportunity to operate at Principal level, combining architecture, hands-on engineering, customer engagement, and technical leadership while helping shape the future direction of an industry-leading AI platform.

RESPONSIBILITIES

• Lead enterprise AI engagements from discovery and solution design through production deployment.
• Architect, build, review, and optimize large-scale AI and distributed systems in customer-facing environments.
• Partner with Product and Engineering teams to convert customer requirements into scalable, reusable platform capabilities.
• Define technical standards across AI architecture, cloud infrastructure, integrations, security, reliability, and operational excellence.
• Develop repeatable frameworks, deployment patterns, and best practices that can be adopted across multiple customer implementations.
• Communicate technical strategy, architectural trade-offs, and business impact to both technical teams and executive stakeholders.
• Mentor senior engineers and contribute to broader engineering strategy and innovation initiatives.

SKILLS AND EXPERIENCE

Required

• 12+ years of software engineering, architecture, or technical leadership experience.
• Demonstrated experience building and deploying production AI/ML systems at enterprise scale.
• Strong expertise in Generative AI and LLM-powered applications.
• Deep knowledge of distributed systems, cloud-native architectures, and enterprise integrations.
• Hands-on software engineering capability with recent coding and code review experience.
• Experience delivering secure, reliable, scalable systems in production environments.
• Strong customer-facing communication skills with experience influencing executive stakeholders.

Preferred

• Experience with agentic AI systems and autonomous workflows.
• Knowledge of Retrieval-Augmented Generation (RAG) architectures.
• Familiarity with AI evaluation frameworks and model performance measurement.
• Background in forward-deployed engineering or customer-embedded delivery teams.
• Experience operating within regulated industries.
• Expertise in AI governance, privacy, security, and compliance.
• Open-source contributions, patents, publications, or conference speaking experience.

BENEFITS

• Highly competitive compensation package.
• Annual performance bonus.
• Equity participation.
• Opportunity to influence product strategy and enterprise AI innovation.
• Exposure to high-profile customer engagements and complex technical challenges.
• Collaborative, high-caliber engineering environment with significant ownership and impact.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Principal Engineer | Principal Software Engineer | AI Architect | Generative AI | LLM | Large Language Models | Enterprise AI | Machine Learning | Distributed Systems | Cloud Architecture | RAG | Agentic AI | Forward Deployed Engineering | Technical Leadership | Customer-Facing Engineering | Enterprise Software | Platform Engineering | Solutions Architecture | Production AI Systems | Hybrid New York Jobs | Forward Deployed Engineer | FDE

To Apply for this Job Click Here

To Apply for this Job Click Here

This is an opportunity to join a high-growth digital business where analytics sits at the heart of commercial decision-making. You’ll work on some of the company’s most important growth challenges, partnering closely with Marketing, Product, and Commercial teams to influence investment decisions, optimise customer acquisition, and drive sustainable growth.

The Company
They are a fast-growing consumer-focused technology business operating at global scale. With a strong data-driven culture, they use analytics to shape strategy, improve customer experiences, and identify new growth opportunities. Their collaborative environment gives analysts direct exposure to senior stakeholders and meaningful influence over business outcomes. As they continue to scale, analytics remains a critical function in driving performance across the organisation.

The Role

• Lead end-to-end analysis on key growth and marketing performance initiatives.
• Investigate changes in customer acquisition, retention, and funnel performance to identify opportunities and risks.
• Support marketing investment decisions through marketing effectiveness analysis, attribution, experimentation, and media measurement.
• Work with a wide range of marketing platforms, customer data sources, and experimentation tools to uncover actionable insights.
• Partner with Marketing, Product, and Commercial stakeholders to influence strategic growth decisions.
• Develop forecasting, scenario modelling, and performance measurement frameworks.
• Translate complex analysis into clear recommendations for senior leadership.
• Mentor analysts and contribute to best practice across the analytics function.

Your Skills & Experience

• Strong commercial experience within Marketing Analytics, Growth Analytics, Commercial Analytics, or a related analytical function.
• Deep understanding of customer acquisition, conversion funnels, lifecycle performance, and growth metrics.
• Experience evaluating marketing effectiveness through attribution, incrementality testing, experimentation, or media measurement methodologies.
• Advanced SQL skills and the ability to work independently with large datasets.
• Experience using Python or R for analysis.
• Exposure to a broad marketing technology ecosystem, including digital advertising platforms, web analytics tools, experimentation platforms, and cloud-based data environments.
• Ability to communicate analytical findings clearly and influence business stakeholders.

What They Offer

• Competitive salary with bonus and equity participation.
• Fully remote working within the UK.

To Apply for this Job Click Here