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Principal Data Scientist

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Marshmallow
Full Time position
Listed on 2026-09-11
Job specializations:
  • Software Development
    Backend Developer, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Software Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 170000 GBP Yearly GBP 120000.00 170000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

We’re building a huge technology company that makes it easier to move between countries. To drive exponential growth, we need a team of extremely ambitious people.

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.

Our values

Our values aren’t words on a wall. They define how we show up - how we think, challenge ideas, and continue to raise the bar.

Explore our open roles to see where you could make an impact.

This is a place for do-ers. We take ownership of meaningful problems and move them forward, even when the context is ambiguous or the path isn’t fully defined.

We relentlessly improve

Progress here is deliberate. We don’t settle. We question assumptions, seek honest feedback, and refine how we work to achieve better outcomes.

We have low ego

Hierarchy doesn’t matter here - ideas do. We welcome challenge, prioritise what’s right over who’s right, and hold ourselves accountable for the decisions we make.

Why Marshmallow?

Accelerate your career with us

1

Supercharged growth

2

High-performing people

You’ll join a group of smart, highly driven people who leave egos at the door. We’re collaborative and curious, and hold ourselves, and each other, to incredibly high standards.

Our teams spend a lot of time together in person to drive collective ideation, quality feedback conversations, and faster decision-making. Our offices have been designed with collaboration at the core, along with spaces to come together as a community.

3

Autonomy and ownership

Every team has a clear north star goal and the autonomy to influence roadmaps, steering the best approach to solve problems. That autonomy extends to individuals too - we expect everyone to take ownership, experiment and share ideas to drive better outcomes.

Hear from the people raising the bar every day

Gergo

"The gap between having an idea and acting on it is genuinely small here. You're expected to move fast, bring your own urgency, and not wait for permission. The people around you operate the same way: high-energy, high-integrity, and never settling for good enough. Being surrounded by that every day raises your own standards and keeps raising them."

Bia

“Innovation is at the core of everything we do. We ringfence time every week to experiment and explore, protected from day-to-day delivery. If we discover an opportunity to drive better outcomes, we have the autonomy to act on it. Increasingly, the most valuable discoveries are happening through AI. AI is a strategic priority and our commitment to it is only accelerating.

The people who thrive here don't just lean into new initiatives. They actively drive them.”

Vik

Group Product Manager

"Most companies wait to have all of the information in place before acting. We don't. When AI started changing the landscape, we rolled up our sleeves and started building straight away - because growth here is practical, not…

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