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Operations Analytics and Insight Lead
London (Hybrid) | £100,000 + Bonus + Benefits

If you’re looking for a leadership role that combines hands-on analytics, strategic influence, people management, and emerging AI initiatives, this is an excellent opportunity. You’ll play a key role in shaping how a data-driven organisation uses analytics to improve operational performance, automate processes, and support AI-enabled products.

The Company
They are a well-established, technology-led organisation with a large and engaged customer base. Analytics is a core function within the business, supporting decision-making across operations, customer experience, and commercial strategy. They continue to invest heavily in data, automation, and AI capabilities, creating an environment where analytics leaders can make a visible impact. The culture is fast-paced, collaborative, and focused on continuous improvement.

The Role
You will lead a team of analytics professionals while remaining closely involved in the technical delivery of analytical projects.
Key responsibilities include:

• Leading, coaching, and developing a team of analysts and technical specialists
• Shaping the analytics roadmap and partnering with senior stakeholders to prioritise business needs
• Developing frameworks to measure operational performance and identify opportunities for improvement
• Delivering hands-on analysis, including experimentation, statistical testing, and operational insight generation
• Influencing senior leaders through data-driven recommendations and strategic thinking
• Automating manual processes and improving analytical ways of working
• Supporting AI and chatbot initiatives by building operational context and measurement frameworks
• Providing insight into the performance and adoption of internal AI tools and copilots
• Driving a more structured, scalable approach within a fast-moving operational environment

Your Skills & Experience

• Strong commercial experience in analytics leadership and people management
• Advanced SQL skills with the ability to remain hands-on technically
• Experience leading analytical initiatives that influence operational or commercial strategy
• Strong statistical knowledge, including experimentation and significance testing
• Experience working with stakeholders at multiple levels, including senior leadership
• Ability to balance strategic planning with day-to-day delivery
• Experience using AI tools to improve processes and productivity
• Exposure to regulated industries such as financial services, fintech, insurance, telecommunications, or similar environments is advantageous
• Experience with modern analytics tools such as Looker, dbt, Airflow, or Git is beneficial
• Background in operational analytics, customer service analytics, workforce management, process optimisation, or related areas is highly desirable

How to Apply
If you’re an experienced analytics leader who enjoys combining technical delivery, team leadership, and strategic influence, please apply to discuss this opportunity in more detail.

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Full Stack Engineer (React / TypeScript / Java)

Up to £85,000 + Benefits

Hybrid Working | London | 2 Days per Week in Office

We’re working with a fast-growing WealthTech business that is transforming the way individuals and families engage with their finances through innovative technology and exceptional user experiences.

They’re looking for a Full Stack Engineer to join a highly collaborative engineering team building and enhancing a modern web platform. This role is approximately 65% Frontend and 35% Backend, making it ideal for engineers who enjoy creating outstanding user experiences while remaining hands-on across the full stack.

The Role

You’ll join a cross-functional squad responsible for delivering new features, improving platform performance, and helping shape technical decisions across the product.

The role has a strong frontend focus, but you’ll also contribute to backend services and APIs, working within a modern cloud-native environment.

A key aspect of the engineering culture is the use of AI-assisted development tools, so candidates must already be comfortable incorporating AI into their daily workflow for coding, testing, and productivity.

Essential Requirements

• Strong commercial experience with React
• Strong commercial experience with TypeScript
• Commercial backend development experience with Java
• Experience working with Spring / Spring Boot
• Hands-on experience using AI-assisted development tools as part of the software development lifecycle
• Experience developing and consuming APIs
• Understanding of software engineering best practices, testing, and clean code principles
• Experience working within Agile environments

Nice to Have

• Kotlin experience
• AWS experience
• Docker and Kubernetes
• Microservices architecture
• Event-driven systems (Kafka or similar)
• GraphQL

What You’ll Get

• Salary up to £85,000
• Hybrid working (2 days per week in London)
• Private healthcare
• Pension contribution
• 25 days holiday
• Regular team socials
• Clear progression opportunities within a growing engineering organisation

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To Apply for this Job Click Here

Data Engineering Lead

London (Hybrid)

Up to £90,000 + 20% Bonus

We’re partnering with a rapidly growing consumer brand that’s investing heavily in data and looking for its first Data Engineering Lead to build the foundations of a modern, data-driven organisation.

This is a rare opportunity to join a business at a pivotal stage of growth and take ownership of the entire data landscape, from platform architecture and data pipelines through to governance, reporting and future team expansion.

The Role

You’ll be responsible for designing and scaling the company’s data platform, bringing together data from multiple sources and creating a single source of truth for reporting and decision-making. You’ll work closely with senior stakeholders across the business and play a key role in shaping the long-term data strategy.

Key responsibilities include:

• Building and maintaining scalable ETL/ELT pipelines
• Developing and optimising a cloud-based data platform within BigQuery
• Owning data quality, governance, security and access controls
• Delivering trusted reporting and analytics capabilities
• Managing external data and analytics partners
• Enabling self-service analytics across the business
• Driving adoption of AI-enabled analytics and decision-making tools
• Helping build and lead the data function as the company grows

Requirements

We’re looking for engineers who enjoy combining deep technical expertise with commercial impact.

You’ll ideally have:

• Strong Python and SQL skills
• Experience building production-grade data pipelines
• Strong BigQuery experience
• Experience with dbt or similar transformation tooling
• Experience working with cloud data platforms
• Excellent stakeholder management skills
• The ability to operate autonomously and thrive in a fast-paced environment
• Previous experience in Data Engineering, Analytics Engineering or Data Leadership roles

Nice to Have

• E-commerce, retail or DTC experience
• Experience with Shopify, Amazon or marketing platforms
• Exposure to attribution, tracking or customer analytics
• Experience implementing data governance frameworks
• Exposure to AI, LLMs or modern analytics tooling
• Previous team leadership experience

Why Join?

• Up to £90,000 base salary
• 20% bonus
• Opportunity to become the company’s first dedicated data leader
• Significant ownership and autonomy
• Direct exposure to senior leadership
• Clear pathway to build and lead a team
• Chance to shape the future of a high-growth business from the ground u

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior AI Software Engineer

London (Hybrid, 3 days per week)

Up to £140,000 + Equity

We’re partnered with a fast-growing AI start-up building cutting-edge behavioural intelligence technology for the financial services sector. Backed by an exceptional leadership team and industry experts, they’re developing a platform that helps organisations better understand client behaviour through advanced AI and large language models.

As their first senior individual contributor engineering hire, you’ll play a critical role in shaping both the product and engineering culture from the ground up.

The Opportunity

This is a true 0-to-1 product engineering role. You’ll work closely with senior leadership to build and scale a greenfield product, taking ownership across the full stack while driving the architecture and evolution of production-grade AI systems.

You’ll have significant influence over technical direction, engineering standards, product decisions and future hiring as the team grows.

What You’ll Be Doing

• Building and shipping customer-facing product features end-to-end
• Developing and scaling production LLM applications
• Owning RAG pipelines and AI application architecture
• Implementing guardrails, evaluations, caching and model routing strategies
• Working across TypeScript, React, Node.js, PostgreSQL and AWS (Open to different technology backgrounds!)
• Building API-first services for enterprise customers
• Establishing engineering best practices around testing, deployment and code quality
• Collaborating directly with product and leadership stakeholders to influence roadmap and delivery priorities

What We’re Looking For

• Experience building and scaling production LLM-powered applications
• Strong full-stack engineering background
• Experience delivering secure, reliable and scalable systems
• Comfortable working across multiple technologies and learning new stacks quickly
• Experience with React and modern web applications
• Product-minded approach with the ability to operate autonomously
• Passion for building in an early-stage, high-growth environment
• Experience within regulated industries or financial services is beneficial but not essential

Why Join?

• Up to £140,000 base salary
• Meaningful equity package
• Opportunity to become the first senior engineering hire
• Direct impact on architecture, product and company direction
• Work alongside talent from leading technology and AI organisations
• Greenfield product with genuine product ownership
• Hybrid working in Central London
• 25 days holiday plus additional benefit

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Data Engineer

London – 4-5 Days per Week in Office

£70,000-£90,000 + Equity + Benefits

We’re working with a rapidly growing, YC-backed healthcare AI startup building a market-leading data platform used by pharmaceutical, biotech and healthcare organisations.

The Opportunity

This is not a role where you’ll maintain legacy pipelines or work on a small corner of an established platform. The team is specifically looking for engineers who have experience taking products, platforms or major features from 0-1.

You should be able to demonstrate that you’ve:

• Built something from scratch rather than simply maintained existing systems
• Worked through ambiguity with limited requirements
• Designed architecture and made key technical decisions
• Owned delivery from idea through to production
• Worked closely with product teams, users or founders to shape solutions
• Shipped products that generated real business value

The successful candidate will help build and scale the core data infrastructure powering the company’s platform, taking ownership of projects from raw data acquisition all the way through to production-ready products.

What You’ll Be Doing

• Building scalable ETL/ELT pipelines using Python and SQL
• Designing and developing data ingestion frameworks
• Working with large, complex and often messy datasets
• Leveraging AI and LLM technologies for extraction, classification and enrichment
• Building data products that directly support customers
• Designing schemas, entity resolution and data quality processes
• Collaborating closely with engineering, product and leadership teams
• Taking projects from concept through to production deployment

What We’re Looking For

Essential

• Strong Python and SQL skills
• Experience building production-grade data pipelines
• Proven ownership of end-to-end engineering projects
• Experience building products, platforms or major capabilities from 0-1
• Ability to operate independently in a fast-moving environment
• Strong problem-solving skills and technical foundations

Highly Desirable

• Startup or scale-up experience
• Experience working directly with founders or product teams
• LLMs, AI tooling or prompt engineering exposure
• Data acquisition, scraping or ingestion experience
• Snowflake, Databricks or modern cloud data platforms
• Experience turning technical outputs into customer-facing products

The Person

We’re looking for someone who enjoys building rather than maintaining.

You’ll thrive here if you get energy from starting with a problem, designing a solution and seeing it through to production. The ideal candidate will have a track record of operating in environments where ownership is high, processes are light, and shipping quickly matters. Years of experience are less important than evidence of what you’ve actually built.

Package

• £70,000-£90,000 base salary
• Opportunity to join a high-growth, YC-backed startup
• Significant ownership and autonomy
• Chance to help shape the future of a data-first AI product
• 4-5 days per week in the London office

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Data Engineer
London (1 day per month in office)
Up to £60,000 + Benefits

This is an excellent opportunity for a Data Engineer to join a growing Business Intelligence function and play a key role in shaping analytics and reporting capability across the business. You’ll work with modern data technologies, build scalable solutions, and help drive data-led decision making across the organisation.
The Company
They are a growing organisation investing heavily in their data and analytics capabilities to support business performance and strategic decision making. Their Business Intelligence team is focused on delivering high-quality, scalable data solutions that empower stakeholders with reliable insights. This is a collaborative environment where data plays a central role in driving business success.
The Role
You will:

• Build and maintain reliable data pipelines that integrate, clean, and structure data from multiple sources.
• Design and optimise data models to support reporting and analytics requirements.
• Create scalable data assets that enable business teams to generate actionable insights.
• Implement data quality controls, validation processes, and error handling to ensure data integrity.
• Work closely with stakeholders to understand requirements and deliver impactful data solutions.
• Contribute to the continued development of reporting and analytics capabilities across the business.

Your Skills & Experience

• Strong commercial experience in data engineering and data integration.
• Hands-on experience with DBT.
• Advanced SQL skills for data transformation and automation.
• Experience working with Snowflake and cloud-based data platforms.
• Strong understanding of data modelling and data warehousing concepts.
• Experience building dashboards and reports using Power BI.
• Knowledge of data quality assurance, validation processes, and troubleshooting.
• Strong communication skills with the ability to engage technical and non-technical stakeholders.

What They Offer

• Salary up to £60,000.
• Comprehensive benefits package.
• Hybrid working with just one day per month in the London office.
• Opportunity to work with modern data technologies in a growing data function.
• Clear opportunities for career progression and professional development.
• The chance to shape data solutions that deliver measurable business impact.

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Product Engineering
London | Up to £150,000
Hybrid (4 Days per Week in Office)

This is an exceptional opportunity for a senior technology leader to shape the future of a growing Data & AI business. You’ll play a pivotal role in building and scaling a high-performing Product Engineering function, driving the development of innovative data-driven products used by enterprise clients.

The Company
This organisation develops sophisticated products that combine customer data, advanced analytics, AI, and software applications to help businesses make better commercial decisions. With an established client base and ambitious growth plans, they are investing heavily in their engineering capability to create scalable, repeatable, and reliable product solutions. Their culture values technical excellence, innovation, and continuous improvement, providing a strong platform for senior leaders to make a meaningful impact.

The Role
You will:

• Lead multidisciplinary teams across Data Science, Data Engineering, Platform Engineering, and Application Development.
• Drive technical strategy, architecture, and engineering excellence across the product portfolio.
• Own the end-to-end delivery of scalable, production-ready data and AI solutions.
• Provide hands-on technical leadership through architecture reviews, problem-solving, technical validation, and code reviews where appropriate.
• Build strong engineering practices across software development, data platforms, testing, deployment, and operational support.
• Develop and mentor technical leaders, creating a culture of accountability, learning, and continuous improvement.
• Champion the adoption of AI-enabled development practices to improve quality and delivery speed.
• Collaborate with senior stakeholders and enterprise clients to provide technical leadership on complex initiatives.
• Influence the evolution of cloud, data, and application platforms, ensuring they support future growth.

Your Skills & Experience

• Strong experience leading engineering, data, and analytics teams within a product-led environment.
• Commercial expertise across software engineering, data engineering, and data science functions.
• Hands-on knowledge of cloud technologies, particularly Azure and modern data platforms.
• Strong understanding of Python, SQL, data architecture, distributed systems, and production environments.
• Experience delivering machine learning, AI, or advanced analytics solutions into production.
• Ability to balance strategic leadership with technical involvement in complex projects.
• Strong stakeholder management skills with experience engaging both technical and executive audiences.
• Passion for building teams, improving engineering standards, and driving organisational change.

What They Offer

• Salary up to £150,000.
• Hybrid working with four days per week in their London office.
• Significant influence over technology strategy, architecture, and product direction.
• Opportunity to build and scale a high-performing Product Engineering organisation.
• Exposure to cutting-edge AI, machine learning, and data-driven product development.
• Excellent career progression within a rapidly growing business.

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PRINCIPAL CONSULTANT, CREDIT RISK & ANALYTICS

LONDON | £90,000 – £120,000 + BONUS + BENEFITS

This is an exciting opportunity to join a specialist financial services consultancy in a senior leadership role. You’ll lead high-profile credit risk and analytics engagements and play a key role in growing both the team and the wider practice.

THE COMPANY

They are an established consultancy specialising in risk, analytics, and data-driven decision making across financial services. Working with a broad range of lending and financial services clients, they deliver high-impact projects spanning risk modelling, portfolio analytics, forecasting, and business strategy.

THE ROLE

* Gain exposure with key stakeholders while also retaining ownership of project delivery

* Manage projects end to end across credit risk modelling, forecasting, portfolio analytics, and strategy development

* Opportunity to contribute to overall business management

* Mentor and develop consultants and analysts across the team

* Contribute to the growth and strategic direction of the wider business

YOUR SKILLS & EXPERIENCE

* Strong commercial experience within credit risk analytics, consumer lending, or SME lending

* Deep expertise in credit risk modelling, customer analytics, forecasting, portfolio analysis, or risk strategy

* Proven experience managing analytical projects and leading teams

* Strong technical skills in SQL, SAS, or Python

– Excellent communication skills with the ability to translate analytical insights into commercial recommendations

* Previous consulting experience is beneficial but not essential

WHAT THEY OFFER

* £90,000 – £120,000 base salary depending on experience

* Annual bonus scheme

* Contributory pension

* Hybrid working model

* Exposure to a diverse range of high-impact client projects

* Clear progression opportunities within a growing consultancy

* Collaborative and supportive culture with a strong focus on professional development

HOW TO APPLY

Please register your interest by sending your CV through the Apply link.

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Staff Data Scientist, Finance – Consumption Forecasting

Location: San Francisco or New York | Hybrid (3 days per week in office)

Salary: $240-300k base + bonus + equity (RSUs)

This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world’s most dynamic applications and scales with every developer and enterprise building on it.

As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn’t a support function. It’s foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level.

What you’ll own

This is a senior individual contributor role with organization-wide impact. You’ll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership.

• Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system
• Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models
• Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles
• Establish backtesting, monitoring, and explainability standards that make forecast accuracy transparent and defensible
• Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches
• Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers
• Set forecasting best practices across the broader Data organization

What we’re looking for

• 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level
• Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment
• Proven track record building and productionizing ML systems at scale
• Strong Python and SQL, with experience on large-scale usage and billing datasets
• Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference
• Experience partnering with Finance or executive leadership on planning cycles
• Comfortable operating autonomously in fast-moving, ambiguous environments

Nice to have

• Background in cloud infrastructure, developer tools, or consumption-based revenue models
• Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
• Prior technical mentorship or informal leadership experience

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Principal Software Engineer – Data Platform

San Francisco, CA (Remote Eligible – US Only)

$230K-$280K base + equity

Are you ready to lead the design and build of a world-class data platform from the ground up?

A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.

As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.

Why this role?

• Join a growing Data Platform team
• Own the technical vision and architecture end-to-end
• Tackle petabyte-scale data challenges and real-time streaming use cases
• Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
• Drive platform evolution to support AI/ML and company-wide analytics

What You’ll Do

• Design and build a next-gen data platform to power product and internal use cases
• Architect for batch + streaming, scalability, fault tolerance, and low latency
• Lead data modeling, warehousing, governance, and ingestion best practices
• Champion engineering excellence and mentor senior engineers
• Align technical decisions with long-term business strategy
• Optimize for performance, cost, and resiliency in a modern cloud environment

What We’re Looking For

• 8+ years of experience in data engineering or platform architecture
• 5+ years at the Principal Engineer level or equivalent
• Deep expertise with Kafka (and its ecosystem), streaming data systems
• Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
• Cloud-native architecture expertise (AWS, GCP, or Azure)
• Track record of designing data systems for compliance and governance
• Experience scaling systems to support petabyte-level workloads
• Excellent communication, collaboration, and leadership skills
• Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Engineer

San Francisco, CA

$180-240K base + equity

We’re partnered with one of the most recognized developer platforms in the world, trusted by engineering teams at OpenAI, Meta, Netflix, and Adobe, who are scaling their data platform and looking to hire a Senior Data Engineer to own the pipelines and foundations at the core of their data ecosystem.

You’ll own the full pipeline lifecycle, from ingestion architecture through to analytics-ready data, working closely with Data Platform Engineers and partnering with analysts and data scientists who depend on what you build every day.

What you’ll do

• Design and build scalable ingestion pipelines and orchestration frameworks across structured, semi-structured, and event-based sources
• Own reliability, observability, and performance across the full pipeline lifecycle from raw ingestion to analytics-ready delivery
• Build and maintain dbt transformation pipelines serving as the single source of truth across Finance, Product, GTM, and Engineering
• Ensure revenue and billing data meets the accuracy and auditability required for public company reporting, including SOX compliance
• Apply software engineering principles throughout: CI/CD, testing, observability, version control, and automation
• Enable self-serve analytics through semantic layer development, strong abstractions, and clear documentation
• Champion data quality and governance across classification, ownership, access policies, and data lifecycle management

What we’re looking for

• 5+ years in data engineering or a hybrid data/analytics engineering role, with a track record of owning pipelines end-to-end in high-growth or enterprise environments
• Advanced SQL and dbt (Core or Cloud), Snowflake or comparable cloud data warehouse, Python, and Airflow
• Experience with Kafka and streaming data systems, with working knowledge of ClickHouse, Iceberg, or similar technologies
• Experience with ingestion tools such as Fivetran, Airbyte, or Polytomic
• Cloud-native architecture experience across AWS, GCP, or Azure
• Exposure to designing data systems that meet compliance and governance requirements, including SOX or equivalent
• Strong communication and collaboration skills, with the ability to contribute as a technical voice across engineering and business stakeholders

To Apply for this Job Click Here

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Staff GTM Data Scientist

Location: Remote

Salary: $190-220k base

We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role sitting at the heart of their product and go-to-market strategy. This isn’t a reporting role or a dashboard-builder position. It’s for someone who can drive a genuine shift toward data-driven decision making across the organization, and who has the technical depth and communication skills to bring leadership along with them.

What You’ll Be Doing

• Owning and advancing the company’s experimentation roadmap, focusing on high-leverage questions around customer workflows, churn risk, and long-term value
• Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to assess the real impact of product and business changes
• Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
• Building and governing a unified KPI framework that connects product health metrics to business outcomes
• Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
• Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
• Mentoring and training junior and mid-level data scientists on experimental design and causal modeling

What We’re Looking For

This is a senior individual contributor role reporting to the Director of GTM Data, acting as a strategic thought partner across Product, Marketing, Finance, and Engineering. The company is at an inflection point in how it uses data, and this person will be central to shaping that.

Essential:

• 6+ years in applied data science, economics, or product analytics
• Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
• Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
• Advanced SQL and Python or R for statistical modeling
• Experience with Snowflake or similar cloud data warehouses
• Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
• Demonstrated ability to drive change in organizations where experimentation culture is still maturing

Nice to have:

• Experience with dbt, Airflow, or Databricks
• Background in SaaS and product data science

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