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On-siteContractExecutiveDataNo visa sponsorship
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You apply directly with the employer. We never charge applicants.
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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)
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.
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.
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 for conversational AI, Python and LangChain for agentic AI solutions, Sagemaker and MLflow for Machine Learning, Cursor and Claude Code for developer productivity.
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.
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.
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)
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
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.