Lead Pricing Data Scientist

Londonfull-timelead

Data & AIPricing Data Scientist

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Quick Summary

Overview

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.

Technical Tools

pythonsqldata-analysismachine-learning

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.

Pricing at Marshmallow is where the mission gets real — delivering unbeatable prices that make migration easy. You'll work with vast, proprietary data, cutting-edge models, and engineers who can implement your ideas fast. Ownership isn't a buzzword here — you'll have the autonomy to make decisions and the senior backing to act on them. This is a team that moves fast, challenges assumptions, and delivers change at high frequency.

Responsibilities

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Develop a deep understanding of Marshmallow’s quote, policy, and claims data to derive insights that enhance pricing strategies.
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Contribute to key pricing initiatives, including expansion plans and customer retention efforts.
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Communicate analytical findings effectively to senior leaders and cross-functional teams.
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Conduct data analysis using SQL and Python to drive decision-making.
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Support the deployment of models in APIs for real-time pricing applications.
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Collaborate with pricing team members to recommend changes and track their impact.
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Assess new external data sources to refine claims risk evaluation and quantify their value.
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Monitoring the performance of our business and contributing to our governance and control processes such as reviewing business mix and segmental loss ratio performance.
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Work closely with Engineering and ML Engineering teams to implement pricing strategies.

What We Offer

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What We Offer

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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.