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- Tasks: Develop advanced risk models and analyse insurance data to optimise pricing strategies.
- Company: Leading insurance tech firm in London with a focus on innovation.
- Benefits: Flexible hybrid work, competitive salary, and comprehensive benefits package.
- Why this job: Join a dynamic team and make a real impact in the insurance industry.
- Qualifications: Strong data science background with skills in Python, SQL, and non-life insurance experience.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading insurance technology firm in London is seeking a Senior Data Scientist (Pricing) to join their Pricing, Tooling, and Modelling team. The role involves developing sophisticated risk and market models, analyzing insurance data, and collaborating with various teams to optimize pricing strategies.
Ideal candidates will have a strong background in data science, advanced skills in Python and SQL, and experience in the non-life insurance sector. A flexible hybrid work model and competitive salary are offered, along with comprehensive benefits.
Senior Data Scientist, Pricing - AI-Driven Insurance (Hybrid) in London employer: Zego
Contact Detail:
Zego Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Pricing - AI-Driven Insurance (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to people in the insurance tech space, especially those working in data science. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to pricing models or insurance. This will help us see your practical experience and how you can contribute to our team.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and SQL skills. We love candidates who can demonstrate their technical prowess, so be ready to tackle some coding challenges or case studies during the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Data Scientist, Pricing - AI-Driven Insurance (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with Python and SQL. We want to see how your skills align with the role of a Senior Data Scientist in pricing, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the insurance tech industry and how your background makes you the perfect fit for our Pricing, Tooling, and Modelling team. Let us know what excites you about this role!
Showcase Your Analytical Skills: In your application, include examples of how you've developed risk and market models or analysed insurance data in the past. We love seeing real-world applications of your skills, so don’t be shy about sharing your successes!
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 the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Zego
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around risk and market models. Be ready to discuss your experience with Python and SQL, as well as any specific projects you've worked on in the non-life insurance sector.
✨Showcase Your Analytical Skills
Prepare to demonstrate how you've used data analysis to influence pricing strategies in the past. Think of examples where your insights led to tangible results, and be ready to explain your thought process during those analyses.
✨Collaboration is Key
Since this role involves working with various teams, be prepared to talk about your experience collaborating with others. Share examples of how you've successfully worked in cross-functional teams to achieve common goals, particularly in a fast-paced environment.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the company’s approach to pricing strategies and how they leverage AI in their models. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.