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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,
- 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) 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)
✨Tip Number 1
Network like a pro! Reach out to people in the insurance tech space, especially those working in pricing or data science. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those related to pricing models or insurance data analysis. This will help us see your expertise in action during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data scientists, particularly around Python, SQL, and risk modelling. We want to see how you think and solve problems on the spot.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our team at this leading insurance tech firm.
We think you need these skills to ace Senior Data Scientist, Pricing - AI-Driven Insurance (Hybrid)
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, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about pricing strategies in the insurance sector and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Analytical Skills: In your application, include examples of how you've developed risk and market models in the past. We love seeing real-world applications of your analytical skills, so don’t hold back on the details!
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’s super easy – just follow the prompts!
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 improvements, and be ready to explain your thought process clearly.
✨Collaboration is Key
Since this role involves working with various teams, be prepared to talk about your experience collaborating with others. Share specific instances where teamwork helped you achieve a goal or solve a problem, highlighting your communication skills.
✨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.