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- Tasks: Shape pricing strategies and analyse performance for a growing Home Insurance business.
- Company: Rapidly scaling specialist insurer with a dynamic group structure.
- Benefits: Competitive salary, career growth, and direct impact on business outcomes.
- Why this job: Join a high-impact role with visibility and influence in the insurance sector.
- Qualifications: Experience in personal lines pricing and strong statistical understanding.
- Other info: Fast-paced environment with opportunities for innovation and professional development.
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.
Reporting to the Home General Manager, you will 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
- 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) in London employer: The Actuary
Contact Detail:
The Actuary Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Home Insurance) in London
✨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 by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python, SQL, and statistical analysis. We want you to shine when it comes to showcasing your expertise!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your passion for home insurance and data science. Tailor your approach to show why you’re the perfect fit for them.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you top of mind. Share any additional insights or thoughts you had post-interview to reinforce your interest and expertise in the role.
We think you need these skills to ace Data Scientist (Home Insurance) in London
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 shaping pricing strategies and how your analytical skills can make an impact. Keep it concise but engaging – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and SQL, as well as any exposure to machine learning. We’re looking for someone who can balance technical rigour with practical insights, so let us know what you bring to the table!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at The Actuary
✨Know Your Numbers
As a Data Scientist, you'll need to demonstrate your statistical understanding. Brush up on key metrics and be ready to explain how you’ve used data to influence pricing strategies in the past. Prepare examples that showcase your analytical skills and how they’ve led to successful outcomes.
✨Showcase Your Technical Skills
Familiarise yourself with Python and SQL, as these are beneficial for the role. Be prepared to discuss specific projects where you've applied these skills, especially in relation to home insurance or personal lines pricing. If you have experience with machine learning, highlight how it has enhanced your analyses.
✨Understand the Business Context
This role requires balancing technical rigour with commercial insight. Research the company’s current pricing strategies and market conditions. Be ready to discuss how your recommendations can align with their business goals and improve product performance.
✨Engage with Stakeholders
You’ll need to present insights to senior stakeholders, so practice communicating complex data in a concise and impactful way. Think about how you can tailor your presentation style to different audiences, ensuring your insights are relevant and actionable for decision-makers.
