Pricing Data Scientist at marshmallow
United Kingdom
Posted
on-site · full_time · Visa sponsorship
Apply for this role at marshmallow
Responsibilities:
- Develop, validate and deploy pricing models (GLMs, GBMs and other approaches) to manage loss ratio and pricing competitiveness.
- Analyse quote, policy and claims data to derive actionable insights and model inputs using SQL and Python (or R).
- Own a strategic pricing initiative (e.g., expansion, renewals or broker optimisation) from analysis through implementation.
- Build and productionise data pipelines, model monitoring and deployment artefacts with engineering partners.
- Conduct claims modelling, segmentation and price optimisation experiments to quantify impact on P&L.
- Communicate findings and recommendations clearly to stakeholders across Pricing, Product and Commercial teams.
Requirements:
- 2–5 years of relevant, data-driven experience (pricing, insurance analytics or commercial data science).
- Strong proficiency in SQL and Python; experience with R is a plus.
- Practical experience building GLMs, tree-based models (GBMs) and performing claims modelling and segmentation.
- Familiarity with model validation, monitoring, A/B testing and deploying models to production.
- Strong analytical rigour, business acumen and ability to present technical results to non-technical stakeholders.
- Experience with APIs, data engineering collaboration and commercial/underwriting decision-making is desirable.