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Staff Data Scientist (Product)

Location: Remote

Salary: $190-220k

We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role embedded in their product organization. This is for someone who combines deep statistical expertise with the ability to influence how an entire company makes decisions – not just someone who runs experiments, but someone who builds the culture and infrastructure around them.

What You’ll Be Doing

• Owning and advancing the company’s experimentation roadmap, focused on high-leverage product questions around customer workflows, churn risk, and long-term value
• Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to measure the real impact of product 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 meaningful 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 Product Data, acting as a strategic thought partner across Product, Engineering, Finance, Design, and Product Marketing. The company is at an inflection point in how it uses data to make product decisions, 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 developing

Nice to have:

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

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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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Senior Analytics Engineer

Location: Remote

Salary: $150-170k base

We’re partnering exclusively with a fast-growing SaaS company to find a Senior Analytics Engineer to join their data team. This is a high-impact, high-autonomy role sitting at the intersection of data engineering and analytics, perfect for someone who takes pride in building data foundations that the whole business relies on.

What You’ll Be Doing

• Designing and building dimensional data models in Snowflake that underpin analytics across the business
• Developing and optimising dbt models to turn raw source data into clean, trusted datasets
• Partnering with analysts and business stakeholders to translate their needs into scalable data solutions
• Implementing data quality checks and owning the reliability of analytics datasets
• Contributing to data governance including PII handling, metadata management, and documentation
• Supporting strategic analytics across customer journeys, revenue metrics, and product usage
• Mentoring junior team members and championing best practices

What We’re Looking For

The company runs a best-in-class modern data stack built around Snowflake, dbt, and Monte Carlo, with data flowing in from Salesforce, HubSpot, Recurly, and core product databases. The team is evolving toward an AI-enabled, domain-oriented data organisation, so there’s real scope to shape the architecture, not just maintain it.

Essential:

• 5+ years in analytics engineering, data engineering, or a similar data-focused role
• Expert-level SQL: complex queries, CTEs, window functions
• Strong hands-on dbt experience
• Snowflake (or equivalent cloud warehouse: BigQuery, Redshift)
• Solid understanding of dimensional modelling and data warehouse design patterns
• Experience with SaaS metrics: MRR, churn, CLV etc.
• Python for data work or automation
• Familiarity with data orchestration tools (Airflow / MWAA)
• Comfortable working remotely and cross-functionally with distributed teams

Nice to have:

• Experience with reverse ETL tools such as Hightouch
• Exposure to BI tools (Hex preferred)
• Understanding of data mesh or domain-oriented architecture concepts

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Senior AI Engineer | Series C GRC Startup | San Francisco (Hybrid)

Location: San Francisco, CA (Hybrid – 3 days/week in office)

Compensation: $200,000 – $250,000 base salary + significant equity

The Role

This is a high-impact, high-ownership position. The selected candidate will serve as the technical authority on how the team designs, ships, and continuously improves AI in production. From LLM pipelines and RAG architectures to agentic workflows and human-in-the-loop systems, this engineer will work across the full stack of modern AI infrastructure alongside a team that takes engineering craft seriously.

What You’ll Do

• Design, build, and own production AI systems end-to-end, including LLM pipelines, retrieval-augmented generation (RAG), reranking, vector stores, and orchestration
• Architect scalable LLM + retrieval + agent systems that operate reliably in enterprise production environments
• Build and maintain human-in-the-loop (HITL) workflows that keep domain experts meaningfully in the decision process
• Develop evaluation frameworks and apply quantitative analysis to systematically measure and improve AI system performance
• Partner with product and engineering leadership to shape the AI roadmap and define best practices across the team
• Set architectural standards that influence how the broader organization builds and ships AI

Required:

• 10+ years of software engineering experience, including 3+ years working directly on ML/AI systems in production (or 6+ YOE for Senior level)
• Deep hands-on experience with RAG, embeddings, reranking, and vector databases (Pinecone, FAISS, Chroma, or similar)
• Proven experience building agentic workflows and multi-step LLM pipelines
• Strong proficiency in Python and TypeScript
• Experience designing and implementing AI evaluation frameworks using quantitative methods

Nice to Have:

• Background in compliance, security, or other regulated enterprise domains (GRC experience is a strong plus)
• Familiarity with enterprise data platforms or Snowflake-based analytics
• Experience with orchestration systems like Temporal or Airflow
• Hands-on experience with LLM evaluation platforms such as Braintrust

Compensation and Benefits

• $200,000 – $250,000 base salary + significant equity at Series C
• Employer-paid health, dental, and vision coverage for the employee and dependents
• 401(k) with company match
• Hybrid flexibility with a collaborative SF home base

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Senior Analytics Engineer

Location: Costa Mesa, CA
Work Model: Hybrid (4 days onsite)
Compensation: $170,000 – $190,000 base + equity + benefits

About the Role

This role is for builders who think in systems – not dashboards.

You’ll define and own the core data layer that represents how the business actually operates. That means modeling real-world domains into structured, reusable systems that power decision-making, workflows, and internal applications across the company.

This is closer to data product engineering than traditional analytics. You’ll work across domains, partner directly with leadership, and turn messy operational reality into clean, scalable data models that others build on top of.

If you’ve ever wanted to move beyond reporting and build foundational systems that drive a company forward, this is that role.

Key Responsibilities

• Own and build domain-level data models that act as the source of truth across the business
• Design and maintain reusable, extensible data layers that scale across teams and use cases
• Build end-to-end data systems – ingestion, transformation, and serving layers
• Develop data products and internal applications, not just dashboards
• Partner with leadership and cross-functional teams to define how the business is measured and operated
• Drive data platform architecture and roadmap decisions
• Establish engineering best practices across testing, version control, and CI/CD for data
• Improve data reliability, governance, and accessibility at scale
• Identify and solve high-impact problems through better data modeling and system design

Must Haves

• 5+ years in Analytics Engineering, Data Engineering, or similar with strong engineering fundamentals
• Deep expertise in SQL and solid experience with Python (or similar)
• Proven track record building scalable, reusable data models used across an organization
• Hands-on ownership of data pipelines and transformation layers (dbt or equivalent)
• Experience with modern cloud data platforms (Snowflake, Redshift, BigQuery, etc.)
• Strong understanding of data modeling, schema design, and data quality systems
• Demonstrated end-to-end ownership of data systems in production environments
• Comfortable operating in fast-moving, ambiguous environments
• Strong communication skills with the ability to influence non-technical stakeholders
• Eligible to obtain and maintain a U.S. security clearance

Why Join

• Build core systems that define how the business runs, not just how it reports
• High ownership and autonomy – you will shape the data layer end-to-end
• Work on complex, high-stakes problems where data directly impacts real-world outcomes
• Join a team that values technical depth, speed, and systems thinking
• Opportunity to influence data platform architecture at scale
• Collaborate with highly capable engineers, operators, and product leaders
• Environment built for people who want to own, build, and move fast

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DATA ENGINEER

up to £38,000 + benefits
Liverpool (Hybrid)
This is a great opportunity to join a purpose‑driven organisation where you can take ownership of data development and help modernise a traditional data estate as part of a growing Data & Insight function.

THE COMPANY:

This organisation is forward‑thinking and technology‑driven, with a strong focus on using data to improve people’s lives.
They are investing in a new data strategy and modern Microsoft stack, creating an excellent environment for someone early in their data career to grow and develop.

THE ROLE:

You will take ownership of SQL‑driven data development and reporting, supporting both BAU activity and longer‑term transformation projects. Working closely with the Data Engineering Manager, you’ll help deliver reliable data products for the wider business.
Key responsibilities include:

• Building and maintaining SQL‑based ETL pipelines across SSIS and Azure Data Factory
• Developing and delivering Power BI dashboards, datasets and data models
• Supporting and maintaining some existing SSRS reports
• Contributing to the ongoing modernisation of the data warehouse and presentation layer
• Supporting the transition toward Python, Azure and Microsoft Fabric

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• SQL and ADF (Azure Data Factory)
• Power BI report development and data modelling
• Working with data warehouses and structured datasets
• Supporting ETL processes and data pipelines
• Communicating clearly with technical and non‑technical stakeholders

THE BENEFITS:

You will receive a salary of up to £38,000.

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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To Apply for this Job Click Here

DATA ENGINEER

Up to £70,000 + BENEFITS
UK (Remote‑first)

This is a great opportunity to join a high‑growth education technology business where you can take ownership of building and scaling a modern data platform that underpins decision‑making across the entire organisation.

THE COMPANY:

The business is scaling rapidly and investing heavily in data to create a single, trusted view of performance across marketing, product and operations.

THE ROLE:

You will take ownership of a modern data platform. Key responsibilities include:

• Owning and developing the end‑to‑end data platform
• Building and maintaining robust data ingestion pipelines into BigQuery
• Designing and maintaining analytics‑ready dbt models
• Partnering closely with the BI Analyst to support company‑wide reporting and self‑serve analytics

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Google BigQuery/GCP (3+ years’ hands‑on experience)
• Data ingestion tools such as Fivetran
• dbt Cloud and analytics‑ready data modelling

THE BENEFITS:

You will receive a salary of up to £70,000 depending on experience, along with a comprehensive benefits package.

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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Head of Analytics (Financial Services)

London (On-site)
£90,000 – £160,000 + bonus + benefits

We’re hiring a Head of Analytics to lead a centralised analytics function within a fast-growing, data-driven business undergoing significant transformation across analytics, AI, and decisioning.

This is a high-visibility role working closely with senior leadership to drive faster, better, data-led decision making across the organisation.

The Role

You’ll lead a central Analytics & MI team operating as a shared service across Finance, Marketing, and executive stakeholders.

Key focus areas include:

• Moving from reporting to actionable insight
• Embedding AI tools into analytics workflows
• Driving automation and improved data structures
• Supporting rollout of a new decision engine
• Managing priorities across multiple senior stakeholders

This is a player-coach role (50/50 split) – combining leadership with hands-on delivery.

What We’re Looking For

• Experience leading Analytics / MI teams
• Strong ability to turn data into clear commercial insight
• Hands-on technical skills (SQL + Python)
• Experience with modern data tools (e.g. Snowflake, Power BI)
• Exposure to AI tools / automation in analytics
• Strong stakeholder management, including senior leadership

Background

• Open to any data-rich, commercial sector (FS helpful but not essential)
• Suitable for an existing Head of Analytics or a strong Senior Manager stepping up

Why Apply?

• Shape a modern, AI-enabled analytics function
• High exposure to C-suite and business strategy
• Play a key role in business transformation
• Significant scope to influence analytics and AI direction

Find out more and apply via the link below!!!

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Director of Performance Marketing

London, hybrid working. Base salary £150,000 – £200,000 plus equity and benefits.

This is a rare opportunity to build the growth engine of a fast-scaling consumer fintech. You will take a strong performance marketing foundation and turn it into a differentiated advantage, shaping how millions of customers discover, join, and grow with a leading digital product.

The Company
They are a high-growth, app-led consumer financial services business on a mission to redefine how people engage with their money. With a multi-product ecosystem and a rapidly expanding customer base, data, AI, and experimentation sit at the heart of their strategy. Marketing is seen as a strategic growth driver, with meaningful investment in brand, performance, customer analytics, and MarTech. You will join a modern, collaborative leadership team that is focused on sustainable, profitable growth.

The Role
As Director of Performance Marketing, you will:

• Own the long-term performance marketing strategy for profitable new customer growth.
• Lead channel investment strategy, planning, and budgeting across paid social, search, and app acquisition.
• Build and refine measurement frameworks, from attribution and incrementality to media mix and unit economics.
• Partner closely with Product, Data, Customer Analytics, and CRM to optimise the full funnel, from impression to in-app activation and value.
• Lead and develop the performance marketing function, including a high-performing team and agency partners.
• Embed a rigorous test-and-learn culture across channels, audiences, creative, and propositions.
• Champion the use of AI and advanced analytics to drive workflow efficiency, insight, and optimisation.
• Act as a senior thought partner to the executive team on growth opportunities, risk trade-offs, and performance forecasts.

Your Skills And Experience
You will be a strong fit if you have:

• Proven success in scaling acquisition for a consumer-focused digital business, such as fintech, subscription, marketplace, or app-led services.
• Deep hands-on understanding of performance channels, especially Meta, Google, and app store acquisition.
• Strong commercial mindset with experience managing large budgets and performance-driven investment decisions.
• Advanced analytical capability, comfortable with data, experimentation, and incrementality measurement.
• Experience working with or alongside customer analytics, product, and MarTech teams to drive holistic growth.
• Confidence leading agencies and internal teams, with a collaborative, low-ego leadership style.
• Curiosity about AI and how it can enhance marketing effectiveness and decision-making.

What They Offer

• Base salary in the range of £150,000 – £200,000, depending on experience.
• Meaningful equity, plus a comprehensive benefits package.
• Senior visibility and influence across the executive and product leadership teams.
• The chance to shape the growth model of a high-potential consumer fintech at a pivotal stage.
• A culture that values data, experimentation, and continuous learning.

How To Apply
If you are a commercially minded Director of Performance Marketing who wants to build and own a high-impact growth engine in London, please apply with your CV to find out more.

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Junior Digital Product Analyst
London – 4 days in office
£38,000 + benefits

A leading UK retail group is looking for a Junior Digital Product Analyst to join their growing Product Analytics team. This is a great opportunity for someone with 1-2 years of experience in digital analytics who wants exposure to high-traffic eCommerce platforms across multiple well-known consumer brands.

You’ll work closely with product and digital teams to analyse website and app performance, support checkout and feature optimisation, and build reporting and dashboards used across the business.

Key Responsibilities

• Analyse customer journeys and conversion funnels across web and app

• Support product analytics initiatives and help establish best practices

• Build dashboards and reporting for stakeholders across the business

• Work with data to identify opportunities to improve checkout and key website features

• Provide insights into user behaviour, conversion, and performance metrics

Requirements

• 1-2 years’ experience in digital or product analytics

• Understanding of website analytics and conversion funnels

• Experience with SQL

• Experience building dashboards in Power BI, Tableau, or similar

• Strong analytical thinking and problem-solving skills

• Comfortable working with Excel and data analysis

What’s on Offer

• £38,000 salary

• Benefits

• Hybrid working (4 days office / 1 day WFH)

Find out more and apply via the link below.

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Analytics Manager

London (Remote First) | Up to £120,000

This is a rare opportunity to take ownership of an analytics function within a fast‑growing, product‑led business. You will shape how data drives decision making, lead a growing team, and work across high‑impact commercial and product areas.

The Company

They are a scaling technology business operating in a highly regulated, data‑rich environment. Data sits at the heart of their product, trading and growth strategy, and they are investing heavily in maturing their analytics capabilities. You will join a collaborative, pragmatic and impact‑focused team that partners closely with stakeholders across the organisation.

The Role

* Lead and develop a team of Analysts and Analytics Engineers.
* Act as the primary analytics partner for senior stakeholders across Growth, Trading, Product, Finance and Compliance.
* Translate business problems into clear analytical questions, metrics and decision‑ready insight.
* Review and challenge analytical work to ensure accuracy, clarity and scalability.
* Drive best practice across SQL, data modelling, documentation and quality standards.
* Prioritise work effectively based on value, impact and capacity.
* Communicate findings, risks and trade‑offs clearly to non‑technical teams.

Your Skills and Experience

* Strong commercial experience in analytics or analytics leadership.
* High proficiency in SQL, with the ability to write, review and challenge complex queries.
* Comfortable managing and developing a small analytics team.
* Experience working with stakeholders in product, growth or trading style environments.
* Familiarity with regulated industries such as gaming, gambling, finance or fintech.
* Experience with BI tools such as Omni, Looker or similar is beneficial.
* A statistical foundation and comfort being tested on analytical thinking.
* Experience in fast‑paced start‑ups or scale‑ups, comfortable wearing multiple hats.

What They Offer

* Salary up to £120,000.
* Remote‑first working with London as the primary hub.
* Opportunity to shape an analytics function as it scales.
* Work across high‑impact commercial and product challenges.
* Clear progression into senior analytics or data leadership roles.

How to Apply

If you are an experienced Analytics Manager looking for a high‑impact role in London, please apply with your CV to discuss this opportunity further.

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