---
title: 'Head of Data Science (12m fixed-term contract) at marshmallow'
canonical: 'https://feeny.ai/job/head-of-data-science-12m-fixed-term-contract-marshmallow-london-7t4y8g20av76'
type: 'job'
last_seen: '2026-09-12'
---

# Head of Data Science (12m fixed-term contract) at marshmallow

- **Company:** marshmallow
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Posted:** 2026-08-04
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/marshmallow/3dee50f9-717b-4311-b1f3-1da2cef18c20

## Job description

We’re on a mission to make migration easy.

We started building Marshmallow in 2017. Since then, we’ve grown from 3 to 700+ people, gained unicorn status, raised ~£140M over three funding rounds, turned profitable, insured millions of drivers and lent millions in car loans.

But we’re only just getting started. Our goal is to become one of the largest financial services providers in the world. Over the next 10 years we’ll grow exponentially, not only by scaling our existing products, but also by building new ones.

To achieve our goals we need incredibly ambitious, commercially driven people who never settle for ‘good enough’. Marshmallowers are hungry for autonomy and ownership, and would rather improve than coast. Everyone raises standards and has an impact, with a focus on collective success over self-interest.

We’ve created an environment where curious, tenacious people win and grow together. If that sounds motivating, this could be the place for you.

12m FTC - (London, hybrid 3 days a week)

Data Science at Marshmallow Our data science team supports various business functions across our Product teams and within Pricing and Claims. Working across the full spectrum of data science problems, from traditional machine learning for risk-based decisioning through to generative AI and the automation of complex operational journeys, all within a regulated insurtech/fintech domain. This is a hands-on leadership role for someone who can bring a team together and ensure it delivers at pace while its foundations strengthen: leading and developing the people, personally holding the bar on technical quality, and partnering closely with engineering and product. It suits a leader who is strong both leading and growing teams as well as a technical decision-maker.

## About the team

The Data Science team operates as a primary commercial engine for Marshmallow, using data and machine learning to drive tangible business outcomes, from pricing strategy to operational efficiency. The team works closely with senior stakeholders and partners across data, engineering, product and commercial functions to identify the right opportunities and make thoughtful technical trade-offs. We operate with a flat structure, so leaders stay close to the people doing the work and support colleagues at different levels of experience. Our ambition is to keep raising the bar for how data science delivers impact across the business.

Product & Tech at Marshmallow Backend and Infrastructure: Latest Java μService, Spring Boot with Spring Cloud, Dynamodb, Terraform, Docker, AWS Fargate, Datadog, Opslevel, and TeamCity. Frontend and Mobile: TypeScript, CSS-in-JS (Styled Components), React, Redux, Redux Hooks, and other modern state management libraries. Kotlin on Android and Swift on iOS. Data: SQL, Python, Snowflake, dbt, Airflow & Looker AI at Marshmallow: [Sierra.ai](http://Sierra.ai) for conversational AI, Python and LangChain for agentic AI solutions, Sagemaker and MLflow for Machine Learning, Cursor and Claude Code for developer productivity.

## What you'll be doing

- Drive commercial impact at every turn: Proactively identify and prioritise data science opportunities that offer the highest leverage for the business, ensuring every project is measured by its bottom-line contribution and strategic commercial alignment.
- Lead the people and culture agenda for data science: set goals, manage performance and development conversations, and keep an evolving team engaged and delivering high-impact projects.
- Provide hands-on technical leadership: set and hold a consistent bar on technical standards across the full modelling and data lifecycle.
- Represent data science in cross-functional conversations, partnering closely with engineering, product and pricing on technical direction and trade-offs.
- Build collective ownership of technical standards across Data Science, coaching people to look beyond their own domain and drive function-wide improvements to shared standards, tooling and best practice.

## Who you are

- You bring an inherently commercial-first mindset: you don’t just build models, you build solutions that directly influence the P&L, and you constantly evaluate every technical trade-off through a rigorous lens of business value.
- You make confident decisions even when the picture is still forming, and you're comfortable operating across more than one domain at once.
- You have a track record of driving visible improvements to team culture, ways of working, and technical standards.
- You build trust quickly with a team, and coach others to challenge and disagree constructively, to drive decisions that deliver the highest-impact outcomes
- You thrive in a fast paced and ever-evolving environment; you adapt to change well (and in fact relish it!).
- You like to take real ownership of your work, drive yourself forward, and work well both autonomously but also collaboratively with the team and your stakeholders.

## What we’re looking for from you

Must have:

- Excellent leadership and team management skills.
- A strong background as a senior data science individual contributor, with commercial experience delivering ML solutions end to end
- Proven ability to influence technical direction across Data Science and Engineering, including shaping scalable model/service integration patterns and challenging proposals to drive robust, long-term solutions.
- Strong stakeholder management skills, with confidence communicating trade-offs and pushing back constructively to C-suite and senior stakeholders across different functions to ensure high-quality outcomes.

Nice to have:

- Experience in insurance, fraud, or another regulated decisioning domain.
- Experience of contributing towards the strategy for Gen AI within an organisation, and leading data scientists to deliver Gen AI solutions that drove measurable business value

(We cannot offer visa sponsorship for this role)

## Perks & benefits

- Bonus scheme designed to reward high performance
- Private medical insurance with Vitality, mental health support with Oliva
- Personal learning budget and 2 dedicated L&D days a year
- Monthly flexible benefits budget to spend as you choose
- 25 days holiday plus bank holidays
- 4 weeks Work From Anywhere per year

Our process

- Recruiter call with the Talent Acquisition team.
- Past experience interview with Hannah Penfold, Hiring Manager.
- Technical deep dive or case study focused on technical trade-offs, commercial thinking and influence (2 Senior Stakeholders)
- Final leadership and values interviews with senior technology and commercial stakeholders, (CTO & Co-Founder)

We review every application and will always let you know the outcome, though we're unable to provide individual feedback at application stage. Diversity of thought We know the best ideas come from having different perspectives in the room - and we're committed to hiring fairly, regardless of background, identity or experience. If you see yourself in this role, we'd encourage you to apply.

## About marshmallow

## Company Overview
- **One-liner**: Marshmallow is a fintech company that uses proprietary technology to offer fairer car insurance and other financial services to newcomers in the UK.
- **Entity Type**: Private (Series C, Unicorn status)
- **Headquarters**: London, England, United Kingdom
- **Founded**: 2017
- **Founders**: Alexander Kent-Braham and Oliver Kent-Braham

## Core Business
- **Primary industry/industries**: Fintech, Insurance (Car, Home), Consumer Finance
- **Target customers**: B2C – primarily newcomers to the UK who are underserved by traditional insurers
- **Mission or purpose statement**: "To make migration easy" by providing fair access to financial services for people who move countries.

## Products & Services
- **Car Insurance**: A data-driven car insurance product that prices based on a driver's global history, not just UK experience, offering fairer rates to newcomers. (Service)
- **Home Insurance**: An extension of their insurance offering, providing coverage for renters and homeowners. (Service)
- **Car Finance**: A lending product for car purchases, expanding their financial services ecosystem. (Service)

## Market Standing
- **Valuation/Market Cap**: Unicorn status (valuation over $1B) as of 2021; latest Series C in April 2025 at a valuation not publicly disclosed.
- **Key Metric**: Total funding of ~$228.8M (USD) across 8 rounds. Annual revenue estimated at $28.8M (USD).
- **Notable Investors/Partners**: Portage Ventures (lead, Series C), Passion Capital, Investec, SCOR, BlackRock, Columbia Lake Partners, Triple Point Ventures.
- **Growth Signals**: Turned profitable; doubled profit since 2023; 27% employee growth in 12 months; 50% female employees; expanded from car insurance into home insurance and car finance; 700+ employees; operates in 19 countries.

## Competitive Advantages
- **Proprietary Data & Pricing Models**: Uses its own technology to price risk based on a driver's global history, not just UK data, allowing it to serve a large, underserved market of newcomers that traditional insurers ignore or overcharge.
- **Mission-Driven Niche**: Focused exclusively on making migration easier, creating a strong brand and customer loyalty among a specific, growing demographic.
- **Full-Stack Fintech**: Has built its own technology stack from the ground up, giving it control over pricing, fraud detection, and customer experience, and enabling rapid expansion into new products (home insurance, car finance).

## Strategic Focus
- **Product Expansion**: Scaling beyond car insurance into home insurance and car finance, with a long-term goal of becoming a leading global financial services provider for migrants.
- **Geographic Growth**: Expanding its customer base and operational footprint, with offices in London and Budapest and employees across 19 countries.
- **Technology & Data**: Continuing to invest in proprietary data science and pricing models to maintain its competitive edge and enter new markets.

## Why Work Here
- **Culture & Values**: Described as low-ego, high-performance, and collaborative. Values include "autonomy and ownership," "relentless improvement," and "maximising impact, fast." Emphasis on collective success over self-interest.
- **Growth & Impact**: A fast-paced, high-growth environment (unicorn status, profitable, 27% employee growth in 12 months) with opportunities for significant ownership and career acceleration.
- **Flexible Working**: Flexible working policy; offices in London (The Featherstone Building, 66 City Road) and Budapest designed for collaboration.
- **Benefits**: Private healthcare (Vitality), mental health support (Oliva), cycle-to-work scheme, competitive bonus scheme, flexible benefits budget (Ben Mastercard), learning & training budgets, company socials, and 2 personal development days per year.
- **Engineering Culture**: Described as low-ego, high-performance, and collaborative. Teams have autonomy and ownership over their roadmaps. Focus on data science and proprietary tech.

## Sources
1. [marshmallow.com](https://www.marshmallow.com/jobs)
2. [marshmallow.com](https://www.marshmallow.com/our-story)
3. [linkedin.com](https://uk.linkedin.com/company/marshmallowltd)
4. [cbinsights.com](https://www.cbinsights.com/company/marshmallow-financial-services)
5. [otta.com](https://app.otta.com/companies/Marshmallow)

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