Data Science Manager, Pricing
HybridLondon, England, United Kingdom
Job Summary
Own Marshmallow's loss ratio view across the portfolio to understand performance and recommend commercial actions, factoring in internal drivers and market conditions. Lead conversations with internal and external stakeholders on pricing performance and risk trends, translating analytical outputs into clear insights for non-technical audiences. Manage and develop a small group of pricing data scientists while raising the quality of their work. Drive cross-functional investigation into claims and risk signals with partners across the business. Shape how pricing data scientists are deployed as the team's operating model evolves. This role requires a commercially minded manager with experience in risk-focused domains such as pricing or credit decisioning. We offer visa sponsorship, a bonus scheme, and a hybrid schedule with three days in the office.
Required Qualifications
- 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
- Visa sponsorship available
Desired Qualifications
- Experience 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
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