I’m partnering with a well-established and forward-thinking insurer that’s investing heavily in its pricing transformation—and looking to hire a Pricing Analyst to join their collaborative, high-impact team. This is a great opportunity for someone looking to combine traditional pricing approaches with modern tools and methodologies, in a business that genuinely values innovation, pace, and autonomy.
You’ll be involved in:
Enhancing and maintaining pricing models across Retail, Bespoke, and Delegated motor products
Leveraging tools like Python, Radar, and SQL to generate actionable insight
Analysing scheme/broker performance and supporting commercial pricing decisions
Working closely with Underwriting, MI, and Deployment to deliver effective, data-driven pricing change
Using both GLMs and more advanced statistical/machine learning techniques
Ideal background:
2–6 years in general insurance pricing (personal lines preferred)
Strong technical toolkit – confident with Python or R, SQL, Radar/Emblem
Proven experience analysing large datasets to influence pricing or strategy
Curious, collaborative, and commercially minded
STEM degree or equivalent professional training
What makes this stand out?
True end-to-end pricing exposure
A team that blends actuarial and data science thinking
High visibility and input into strategic decision-making
Fast-moving, flat structure where your voice matters
Flexibility to shape your own projects and career path