Data Scientist (Home Insurance)

The Actuary; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A rapidly scaling specialist insurer is seeking a Home Data Scientist to shape the pricing strategy for its Home Insurance division. This role involves ownership of analytical work to support pricing decisions and commercial strategy. Candidates should have personal lines pricing experience, a strong statistical background, and familiarity with Python and SQL. Join a fast-paced environment to influence product performance and drive insights that matter.

Qualifications

• Experience in personal lines pricing, preferably with Risk/Demand/Street.
• Strong ability to analyze and explain statistical patterns.
• Exposure to machine learning for analysis is an advantage.

Responsibilities

• Produce high-standard pricing and performance analyses.
• Make proactive recommendations on pricing actions and product changes.
• Present insights to senior stakeholders with commercial context.
• Balance technical rigor with trading conditions and speed to market.
• Work with MI and data teams to improve data visibility and reporting.
• Contribute to the development of pricing structure.

Skills

Personal lines pricing experience

Strong statistical understanding

Exposure to ML for analysis

Python

SQL

Job description

A rapidly scaling specialist insurer is hiring a Home Data Scientist to help shape the pricing strategy of its growing Home Insurance business. This sits within a fast-moving group structure spanning Broker — MGA — Underwriter, providing a rare level of visibility, data access, and commercial influence.

The Role

Reporting to the Home General Manager, you’ll take ownership of analytical work that supports pricing decisions, commercial strategy, and product performance. This is a high-impact role suited to someone at Senior Analyst or Junior Manager level who wants broader responsibility, faster decision cycles, and direct line of sight to business outcomes.

Key Responsibilities

• Produce high-standard pricing & performance analyses with minimal review
• Make proactive recommendations on rating action and product changes
• Present insights concisely to senior stakeholders with commercial context
• Balance technical rigour with trading conditions and speed to market
• Work with MI + Data teams to improve BAU data visibility and reporting
• Contribute to pricing structure development as the portfolio scales

What They’re Looking For

• Personal lines pricing experience (Risk/Demand/Street preferred)
• Home experience advantageous but not essential
• Strong statistical understanding; able to explain patterns & drivers
• Exposure to ML for analysis or production useful
• Python & SQL beneficial