Data Science Manager, Pricing

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. London (hybrid, 3 days in office) Pricing at Marshmallow The Pricing team shapes how we understand risk and make pricing decisions that support sustainable growth. It plays a critical role in Marshmallow’s ambition by protecting loss ratio performance and turning complex data into clear commercial action. We work closely with claims, finance, product and other teams, to build a holistic view of risk and keep our pricing approach effective as we scale. The team acts as a key bridge between technical analytics and business strategy, helping Marshmallow stay ahead of market conditions and make confident decisions, even where data is sparse or uncertain. The team works across modelling, business strategy and stakeholder communication. The challenge is balancing technical judgement with clear storytelling for very different audiences. It’s a team with high impact, high visibility and plenty of momentum. What you'll be doing Owning Marshmallow’s loss ratio view across our portfolio to understand performance and recommend commercial actions, factoring in both internal drivers and wider market, and economic conditions. Leading conversations with internal and external stakeholders on pricing performance and risk trends, translating analytical outputs into clear pricing and portfolio insights for non-technical stakeholders. Managing and developing a small group of pricing data scientists while raising the quality of their work. Driving cross-functional investigation into claims and risk signals with partners across the business. Shaping how pricing data scientists are deployed across workstreams as the team’s operating model evolves. Who You Are You’re commercially minded and enjoy connecting the dots between pricing decisions, financial outcomes and wider market conditions, not just the underlying data. You’re comfortable using judgment in ambiguous situations, working with sparse or less credible data and making clear, well‑reasoned assumptions. You’re naturally curious about why key metrics move, and you like to step back, challenge assumptions and tell a clear story behind trends and performance. You collaborate easily with different teams (e.g. claims, finance, reserving) and communicate complex ideas in a concise, business-focused way. What You'll Bring Experience as a data scientist and/or data science manager in a risk-focused domain such as pricing, credit decisioning or fraud. Experience operating in commercially driven environments where performance metrics guide decisions. Experience forming clear, commercially grounded views off the back of technical analysis and communicating these clearly to senior stakeholders. Experience making sound decisions when data is incomplete or imperfect, and comfortable operating under genuine uncertainty. A collaborative approach, working seamlessly with adjacent functions, to connect pricing insights to broader business performance. Perks of the job 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 We are able to offer visa sponsorship for this position. Our process Initial call with a member from our Talent Team (30 mins) Past Experience interview with Hiring Manager (60 mins) Systems Design & Technical interview with a couple of the team (90 mins) Culture interview (60 mins) 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.