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Data Engineering Lead

Competitive Salary + Benefits
London (Hybrid)

This is a great opportunity to join a high-growth consumer business where you can take ownership of building and scaling a company-wide data function from the ground up.

THE COMPANY:

This rapidly growing consumer brand has transformed its market through an innovative product offering sold internationally. The business has evolved from a direct-to-consumer e-commerce model into a sophisticated multi-channel organisation spanning e-commerce, retail, wholesale, subscriptions and strategic partnerships.

Having experienced significant year-on-year growth, the company is investing heavily in becoming a truly data-driven organisation, creating an opportunity for a data specialist to shape the future of analytics, reporting and decision-making across the business.

THE ROLE:

You will take ownership of the company’s data infrastructure, analytics capability and reporting landscape while helping to build a data-driven culture across the organisation.

Key responsibilities include:

• Designing, building and maintaining scalable data pipelines
• Developing and improving the data warehouse, semantic layer and reporting environment
• Supporting analytics, reporting and dashboard development across commercial teams
• Integrating new data sources, including subscription and operational data
• Driving automation, governance, documentation and data literacy across the organisation
• Managing relationships with external analytics partners and vendors
• Improving customer tracking and marketing analytics capabilities
• Supporting the adoption of AI-enabled analytics and reporting workflows

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• modern cloud data warehouse environments
• dbt, ETL/ELT pipelines and data integration
• BI reporting and dashboard development
• Data modelling, analytics and stakeholder management
• Commercial and customer data analysis
• Experience within e-commerce, DTC, SaaS or high-growth consumer businesses
• Experience building data functions in scaling businesses

THE BENEFITS:

You will receive a salary up to £90,000 depending on experience.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Director of Product Engineering

Up to £150,000 + benefits
London

This is a fantastic opportunity to join a high-growth AI SaaS company where you can take ownership of building and scaling a Product Engineering function that combines Data Science, Data Engineering, Platform Engineering and Application Development.

THE COMPANY:

Founded to help enterprises unlock the value of their first-party customer data, our client helps transform customer, behavioural and commercial data into actionable business intelligence. They are entering an exciting phase of growth as it evolves from project-led delivery to a scalable, repeatable product engineering model. This role will be central to shaping that transformation.

THE ROLE:

You will take ownership of the technical engineering capability, leading teams across Data Science, Data Engineering, Platform Engineering and Application Development while creating a scalable and repeatable delivery model.

Key responsibilities include:

• Building and scaling a high-performing Product Engineering function across multiple technical disciplines.
• Leading technical architecture, solution design and engineering decisions for customer-facing AI and data products.
• Acting as a senior technical representative with enterprise clients and translating complex technical concepts into commercial outcomes.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Leading and scaling technical functions within consulting, SaaS or service-based environments.
• Managing multidisciplinary teams across Data Engineering, Data Science and Software Engineering.
• Remaining technically credible with strong understanding of modern data ecosystems, architecture and engineering best practices.

THE BENEFITS:

You will receive a salary up to £150,000 depending on experience.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior AI Product Engineer

up to £140,000
London (Hybrid)
This is a fantastic opportunity to join an early-stage AI startup as one of its first engineering hires, taking ownership of a cutting-edge behavioural AI platform that is transforming how companies understand and engage with their customers.

THE COMPANY:

Our client is developing technology that helps their clients better understand not just what customers do, but why they make decisions. Their platform combines behavioural science and AI to provide actionable customer intelligence, enabling organisations to improve marketing, communications, customer support, and engagement strategies.

THE ROLE:

You will become the first senior individual contributor engineering hire, working closely with the VP of Product Engineering to build and scale the product from the ground up.

Key responsibilities include:

• Building and shipping AI-powered products end-to-end using LLM technologies.
• Owning and scaling the retrieval-augmented generation (RAG) and AI application layer.
• Developing secure, production-grade systems including guardrails, evaluation frameworks, monitoring, caching, and token cost optimisation.
• Working across the stack, including backend services, APIs, cloud infrastructure, and selective frontend development.
• Establishing engineering best practices around testing, delivery, architecture, and code quality.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Building and scaling production LLM-enabled products from 0-to-1.
• Full-stack software engineering with strong backend expertise.
• Product ownership, architecture, and independent decision-making.
• Modern technologies including TypeScript, Node.js, React, PostgreSQL, AWS, and API-first architectures.
• LLM evaluation, token optimisation, cost management, monitoring, and deployment best practices.

THE BENEFITS:

You will receive a salary of up to £140,000 depending on experience.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Engineer / Analytics Engineer
Downtown San Francisco | Hybrid (4 days onsite)

What You’ll Do

Data Engineering & Infrastructure

• Design, build, and maintain data pipelines from ingestion through transformation and delivery
• Own data modeling and transformation across the firm’s core data sources
• Build and maintain a reliable, scalable data infrastructure from the ground up
• Ensure data quality, consistency, and governance across systems

Analytics & Business Partnership

• Serve as the primary technical translator between data systems and non-technical business stakeholders
• Partner with wealth management, finance, operations, and leadership teams to understand data needs and deliver solutions they can actually use
• Build reporting and analytics capabilities that give the business clear visibility into performance and client data
• Communicate complex data concepts in plain language – confidently and clearly

AI & Modern Tooling

• Leverage AI tools to improve productivity and analytical output – familiarity with tools like Glean expected
• Contribute to the firm’s evolving AI initiatives as they develop
• Stay current on relevant AI and data tooling and bring practical recommendations to the team

What We’re Looking For

Required

• Strong proficiency in Python and SQL
• Hands-on experience with data modeling, transformation, and pipeline development
• Ability to work independently as the primary or sole data practitioner – this is not a large team environment
• Confident communicator – comfortable presenting to and advising non-technical stakeholders including senior leadership
• High EQ – personable, collaborative, and able to build trust with people across the organization
• 4 days per week onsite availability in downtown San Francisco

Strongly Preferred

• Background in finance, wealth management, or financial services
• Experience at a private equity-backed company or PE rollup environment
• Familiarity with wealth management workflows, data structures, and reporting needs
• Experience as the sole or primary data person at a company – someone who has had to be resourceful, self-directed, and scrappy
• Exposure to AI tools in a professional context (Glean or similar)

Compensation

• Base salary: $185,000 – $235,000
• Discretionary bonus
• Downtown San Francisco office – hybrid, 4 days onsite per week

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This is an exciting opportunity to shape the future of CRM strategy within a growing research and insights business. Sitting at the centre of Sales, Marketing and Operations, you will combine strategic thinking with hands-on execution to drive adoption, efficiency and commercial performance.

Role:
They are a fast-growing data, research and analytics organisation serving a global client base. Their insights help businesses make informed commercial decisions across a range of industries.

As CRM Manager, you will be responsible for owning and developing the company’s internal CRM system, with a primary focus on HubSpot, which was implemented approximately six months ago.

Responsibilities include:

• Leading the CRM strategy and roadmap across sales, marketing and operational teams
• Acting as the internal HubSpot expert, driving adoption and best practice across the business
• Maintaining, enhancing and optimising HubSpot Sales Enterprise and Marketing Enterprise
• Building reporting frameworks and dashboards to provide meaningful commercial insights
• Developing and managing automation workflows to improve efficiency and reduce manual processes
• Working closely with stakeholders across Sales, Marketing, Operations and Finance to identify opportunities for further CRM development
• Ensuring data quality, governance and accurate reporting across the CRM platform
• Delivering HubSpot training and ongoing support to users across the organisation
• Managing integrations and exploring future platform enhancements to support business objectives

Your Skills & Experience

• Strong commercial experience managing and developing HubSpot CRM environments
• Experience owning CRM strategy while remaining hands-on with platform administration and optimisation
• HubSpot Marketing and Sales certification, or equivalent practical expertise
• Experience building automations, workflows, reporting and dashboards within HubSpot
• Knowledge of HubSpot
• Ability to work cross-functionally and influence stakeholders across multiple business areas
• Strong analytical skills with the ability to translate data into actionable business recommendations

How to Apply
To find out more about this CRM Manager opportunity, please submit your application today.

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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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Overview

A large, complex enterprise is seeking a senior data science leader to build and scale its data science function. This role is responsible for translating data into predictive, prescriptive, and AI-enabled insights that improve customer experiences, operational performance, decision-making, and organisational outcomes.
The Director, Data Science will lead teams focused on statistical modelling, machine learning, experimentation, forecasting, optimisation, decision support, and AI-enabled analytics. The position partners closely with data, engineering, product, digital, and business stakeholders to ensure analytical solutions are built on trusted data and deliver measurable value.
This leader will establish best practices for model development, validation, deployment readiness, monitoring, and lifecycle management while fostering a high-performance, innovation-focused culture.

Key Responsibilities

Data Science Strategy & Leadership

• Define and execute the enterprise data science roadmap aligned to strategic business priorities.
• Identify opportunities where advanced analytics, machine learning, optimisation, and AI can improve organisational outcomes.
• Prioritise investments based on business value, feasibility, data readiness, and strategic importance.
• Establish standards for experimentation, model development, validation, documentation, monitoring, and governance.
• Ensure solutions are scalable, reusable, interpretable where appropriate, and aligned with enterprise architecture and responsible AI principles.

Advanced Analytics, Machine Learning & AI

• Lead development of predictive, prescriptive, optimisation, and forecasting models across multiple business domains.
• Oversee customer segmentation, risk modelling, recommendations, personalisation, propensity modelling, and decision-support solutions.
• Partner with engineering and product teams to operationalise analytical capabilities within production environments and business workflows.
• Support AI initiatives by defining methodologies, evaluation approaches, and performance expectations.
• Promote modern statistical and machine learning techniques while ensuring appropriate application and risk management.

Model Evaluation, Experimentation & Measurement

• Define frameworks to evaluate model performance, business impact, reliability, fairness, and adoption.
• Lead experimentation strategies including A/B testing, causal inference, impact measurement, and test design.
• Collaborate with engineering, product, quality, and business teams on model monitoring and continuous improvement.
• Translate analytical outputs into actionable insights and business recommendations.
• Establish reporting, dashboards, and executive-level performance reviews.

Cross-Functional Collaboration

• Partner with enterprise data teams to ensure access to reliable, high-quality data.
• Collaborate with knowledge management, semantic modelling, and data product teams to improve analytical outcomes.
• Work closely with product, operations, technology, and business leaders to identify and prioritise analytical opportunities.
• Support production deployment of models and analytical services in partnership with engineering teams.
• Provide strategic guidance on where advanced analytics and AI can create value, and where alternative approaches may be more appropriate.

Team Leadership & Development

• Build, lead, and mentor a high-performing team of data scientists and analytics professionals.
• Define organisational structure, hiring strategy, capability development, and career progression pathways.
• Establish effective collaboration models across data, engineering, governance, product, and business teams.
• Coach team members on technical excellence, stakeholder engagement, communication, and business impact.
• Foster a culture of innovation, accountability, continuous learning, and responsible AI.

Required Qualifications

Education

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, Operations Research, Public Health, Informatics, or a related field.
• Master’s degree or PhD preferred.

Experience

• 12-18+ years of experience in data science, machine learning, advanced analytics, applied statistics, or related disciplines.
• 5-8+ years leading data science, analytics, or machine learning teams.
• Proven experience delivering analytical solutions that influence business or operational decision-making.
• Experience partnering with engineering, technology, product, and executive stakeholders.
• Strong background in model development, experimentation, monitoring, and production deployment.
• Experience within a regulated industry preferred.

Technical Expertise

• Deep expertise in statistical modelling, machine learning, predictive analytics, optimisation, experimentation, and decision science.
• Proficiency with Python, R, SQL, notebook-based development environments, and modern machine learning frameworks.
• Experience assessing data quality, feature readiness, model performance, bias, drift, interpretability, and operational fit.
• Understanding of model deployment, monitoring, integration, and lifecycle management within production environments.
• Familiarity with AI, Generative AI, large language model evaluation, recommendation systems, forecasting, personalisation, and decision-support methodologies.
• Strong knowledge of privacy, security, governance, and responsible AI practices.

Preferred Qualifications

• Experience leading data science teams within healthcare, life sciences, financial services, or other highly regulated industries.
• Experience supporting AI-enabled products, digital experiences, operational optimisation, workflow automation, or decision-support capabilities.
• Experience building reusable analytical frameworks and platforms that support multiple business functions.
• Experience defining enterprise standards for model evaluation, observability, monitoring, and continuous improvement.
• Familiarity with semantic models, ontologies, knowledge graphs, or enterprise knowledge management frameworks.
• Strong executive communication and stakeholder management skills.

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Senior Analytics Manager

Permanent | £100,000 Base + Benefits
Central London | Hybrid (3 Days Per Week)

The Role:

A leading organisation is seeking a Senior Analytics Manager to drive analytics strategy, deliver actionable insights, and support business-wide decision making.

Responsibilities:

• Lead analytics initiatives that deliver measurable business value.
• Partner with senior stakeholders to define KPIs and reporting requirements.
• Drive adoption of data-driven decision making across the organisation.
• Oversee the delivery of dashboards, reporting, and analytical products.
• Promote best practice across analytics, governance, and self-service reporting.
• Mentor and develop members of the analytics team.

Requirements:

• Proven experience in Analytics, BI, Data & Insights, or Analytics Leadership roles.
• Strong SQL and DBT experience.
• Experience with modern BI and reporting platforms.
• Excellent stakeholder management and communication skills.
• Ability to translate business challenges into analytical solutions.
• Experience leading cross-functional analytics projects.

What Will Make You Stand Out:

• Experience with cloud data platforms
• Exposure to AI and advanced analytics use cases.
• Strong understanding of data modelling and metric governance.
• Track record of driving analytics transformation programmes.
• Experience developing and mentoring analytics teams.

Package:

• £100,000 Base Salary
• Comprehensive Benefits Package
• Permanent Position
• Hybrid Working (3 Days Per Week In The Office)
• Central London Office
• Opportunity to shape analytics strategy and influence senior business decisions

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