Data Scientist (Home Insurance)

Arthur Financial; Greater London; On-site; GBP 125,000 - 150,000; Full time

Job summary

A rapidly scaling specialist insurer is looking for a Home Data Scientist to shape the pricing strategy of its expanding Home Insurance business. In this high-impact role reporting to the Home General Manager, you will produce analyses aiding pricing decisions and product performance. We're seeking a candidate with personal lines pricing experience and a strong statistical background, ideally with exposure to machine learning methodologies as well as proficiency in Python and SQL. This position offers visibility and influence within a dynamic group structure.

Qualifications

• Experience in personal lines pricing, ideally relevant to risk or demand.
• Statistical skills to explain data patterns and drivers.
• Familiarity with machine learning concepts for analysis.

Responsibilities

• Produce high-standard pricing and performance analyses.
• Make recommendations on rating actions and product changes.
• Present insights to senior stakeholders with commercial context.
• Improve data visibility and reporting with MI + Data teams.
• Contribute to the development of pricing structures.

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

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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 experienceNSA advantageous but not essential
• Strong statistical understanding; able to explain patterns & drivers
• Exposure to ML for analysis or production useful
• Python & SQL beneficial