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For Companies At a Glance
- Tasks: Shape pricing strategies and analyse data for a growing Home Insurance business.
- Company: Rapidly scaling specialist insurer with a dynamic group structure.
- Benefits: Competitive salary, career growth, and impactful decision-making opportunities.
- Why this job: Make a real impact in a high-visibility role with fast decision cycles.
- Qualifications: Experience in personal lines pricing and strong statistical understanding.
- Other info: Join a collaborative team with access to valuable data and insights.
The predicted salary is between 36000 - 60000 £ per year.
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 NSA advantageous but not essential
- Strong statistical understanding; able to explain patterns & drivers
- Exposure to ML for analysis or production useful
- Python & SQL beneficial
Data Scientist (Home Insurance) employer: Arthur Financial
Contact Detail:
Arthur Financial Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Home Insurance)
✨Tip Number 1
Network like a pro! Reach out to people in the insurance and data science fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for those interviews! Research the company’s pricing strategies and be ready to discuss how your skills in Python and SQL can contribute to their goals. Show them you’re not just another candidate, but the perfect fit!
✨Tip Number 3
Don’t underestimate the power of follow-ups. After an interview, drop a quick thank-you email to express your appreciation and reiterate your interest. It keeps you fresh in their minds and shows your enthusiasm!
✨Tip Number 4
Apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your skills. Plus, it gives us a chance to see your application in the best light possible!
We think you need these skills to ace Data Scientist (Home Insurance)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role in Home Insurance. Highlight your personal lines pricing experience and any relevant statistical skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your experience can help shape our pricing strategy. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python, SQL, and any exposure to machine learning. We’re looking for someone who can balance technical rigour with practical insights, so make sure to highlight these skills clearly.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Arthur Financial
✨Know Your Numbers
Brush up on your statistical knowledge and be ready to discuss how you’ve used data to influence pricing strategies in the past. Be prepared to explain patterns and drivers clearly, as this will show your analytical prowess.
✨Showcase Your Technical Skills
Make sure you can talk confidently about your experience with Python and SQL. If you've worked with machine learning for analysis or production, highlight specific projects where you applied these skills to solve real-world problems.
✨Understand the Business Context
Familiarise yourself with the home insurance market and the specific challenges it faces. This will help you present your insights with commercial context, demonstrating that you understand not just the data, but also the business implications.
✨Prepare for Stakeholder Engagement
Practice presenting your analyses concisely to senior stakeholders. Think about how you can balance technical details with the need for quick decision-making, as this role requires effective communication with various teams.
