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For Companies At a Glance
- Tasks: Shape pricing strategies and analyse product performance in home insurance.
- Company: Rapidly scaling specialist insurer with a dynamic team.
- Benefits: Competitive salary, career growth, and impactful work.
- Why this job: Make a real difference in pricing decisions and product success.
- Qualifications: Experience in personal lines pricing, strong stats background, Python and SQL skills.
- Other info: High visibility role with influence in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
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 are 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.
Senior Data Scientist - Home Insurance Pricing in London employer: Arthur Financial
Contact Detail:
Arthur Financial Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Home Insurance Pricing in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in home insurance or data science. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your analyses, projects, and any machine learning models you've built. This will help you stand out and demonstrate your expertise in Python and SQL.
✨Tip Number 3
Ace the interview! Research common questions for data scientists, especially around pricing strategies and statistical methods. Practise your answers and be ready to discuss how your experience aligns with the role.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, and it shows you're genuinely interested in joining our team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Data Scientist - Home Insurance Pricing in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your personal lines pricing experience and any relevant statistical skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your expertise in Python and SQL!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about shaping the pricing strategy for our Home Insurance business. Let us know how your previous experiences can contribute to our dynamic team.
Showcase Your Analytical Skills: In your application, include examples of analyses you've conducted that influenced pricing decisions or product performance. We love seeing how you’ve used data to drive results, especially if you’ve dabbled in machine learning methodologies!
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’re considered for this exciting opportunity. Plus, it’s super easy!
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 analysis in previous roles. Be prepared to explain your approach to pricing strategies, especially in personal lines, as this will show your understanding of the industry.
✨Showcase Your Technical Skills
Make sure you can demonstrate your proficiency in Python and SQL during the interview. Consider preparing a small project or example where you've applied these skills to solve a real-world problem, as this will highlight your practical experience.
✨Understand Machine Learning Applications
Since the role involves exposure to machine learning methodologies, be ready to discuss any relevant projects or experiences. Explain how you've implemented machine learning techniques in pricing models or analyses, and be prepared to answer technical questions about algorithms.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the company's pricing strategy and how they leverage data science within their home insurance business. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
