Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and implement advanced models to optimise customer premiums and drive data-driven decisions.
- Company: Leading insurance firm in London with a focus on innovation.
- Benefits: Hybrid work model, learning budget, enhanced parental leave, and more.
- Why this job: Shape the future of insurance pricing and make a real impact on growth.
- Qualifications: Experience in statistical modelling and machine learning required.
- Other info: Collaborative environment with opportunities for professional development.
The predicted salary is between 36000 - 60000 £ per year.
A leading insurance firm in London is seeking a Data Scientist to develop and implement advanced statistical and machine learning models to optimize customer premiums. You will collaborate with various teams to ensure effective model deployment and insightful data-driven decision making.
Key responsibilities include:
- Designing pricing experiments
- Monitoring model performance
- Championing retail pricing science
This role offers a hybrid work model and various employee benefits including a learning budget and enhanced parental leave.
Insurance Pricing Data Scientist — Shape Premiums & Growth employer: Policy Expert
Contact Detail:
Policy Expert Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insurance Pricing Data Scientist — Shape Premiums & Growth
✨Tip Number 1
Network like a pro! Reach out to current employees at the insurance firm on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your statistical and machine learning knowledge. We want to show them we can design those pricing experiments and monitor model performance like a champ!
✨Tip Number 3
Don’t forget to showcase our collaborative spirit! Be ready to discuss how we’ve worked with different teams in the past to drive data-driven decisions. They’ll love to see that teamwork vibe.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight our fit for this specific role.
We think you need these skills to ace Insurance Pricing Data Scientist — Shape Premiums & Growth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and insurance pricing. We want to see how your skills align with the role, so don’t be shy about showcasing your statistical and machine learning expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about optimising customer premiums and how you can contribute to our team. Keep it engaging and personal – we love a good story!
Showcase Your Projects: If you've worked on any projects related to pricing models or data analysis, make sure to mention them. We’re keen to see your hands-on experience and how you’ve tackled real-world problems in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Policy Expert
✨Know Your Models
Make sure you’re well-versed in the statistical and machine learning models relevant to insurance pricing. Be ready to discuss how you've used these models in past projects, including any challenges you faced and how you overcame them.
✨Understand the Business
Familiarise yourself with the insurance industry and the specific firm’s approach to pricing. Research their products and recent news to show that you’re genuinely interested in their business and can contribute to their growth.
✨Prepare for Collaboration Questions
Since this role involves working with various teams, be prepared to discuss your experience in collaborative environments. Think of examples where you successfully worked with others to achieve a common goal, especially in data-driven projects.
✨Showcase Your Experimentation Skills
Be ready to talk about any pricing experiments you’ve designed or participated in. Highlight your ability to monitor model performance and adapt strategies based on data insights, as this will demonstrate your hands-on experience in the field.
