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- Tasks: Enhance pricing strategies using data models and predictive analytics.
- Company: Leading UK insurance provider with a focus on innovation.
- Benefits: Competitive salary, flexible hybrid working, and comprehensive benefits.
- Why this job: Make a real impact in pricing and risk analytics while developing your skills.
- Qualifications: Strong Python and SQL skills, plus teamwork experience.
The predicted salary is between 43200 - 72000 £ per year.
A leading insurance provider in the UK is seeking a Senior Data Scientist to enhance market-leading pricing activities through data assets and predictive models. Your role includes developing models for claims outcomes and fraud prediction, as well as engineering new rating factors.
Requires strong skills in Python, SQL, and collaboration across teams. Offers competitive salary, benefits, and a flexible hybrid working model.
Senior Data Scientist, Pricing & Risk Analytics in Leicester employer: Hastings Insurance Services Limited
Contact Detail:
Hastings Insurance Services Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Pricing & Risk Analytics in Leicester
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data models, especially those related to pricing and risk analytics. We want to see your Python and SQL prowess in action!
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your predictive modelling techniques and problem-solving skills. We can help you with resources to ace those tricky questions!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive tips and updates there that can give you an edge in the hiring process.
We think you need these skills to ace Senior Data Scientist, Pricing & Risk Analytics in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any relevant data science projects. We want to see how your skills align with the role of Senior Data Scientist in Pricing & Risk Analytics.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can enhance our pricing activities. Share specific examples of your work with predictive models and collaboration across teams.
Showcase Your Problem-Solving Skills: In your application, include instances where you've tackled complex data challenges, especially in claims outcomes or fraud prediction. We love seeing how you approach problems and find innovative solutions.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This way, we can easily track your application and get back to you quicker!
How to prepare for a job interview at Hastings Insurance Services Limited
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've developed predictive models or worked on claims outcomes. Having concrete examples will show your expertise and how you can contribute to their pricing activities.
✨Understand the Insurance Landscape
Familiarise yourself with the insurance industry, especially around pricing and risk analytics. Knowing the current trends and challenges in the market will help you engage in meaningful conversations during the interview and demonstrate your genuine interest in the role.
✨Collaboration is Key
Since the role involves working across teams, be prepared to talk about your experience collaborating with others. Share examples of how you've successfully worked with different departments to achieve a common goal, particularly in data-driven projects.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. This could be about their current data initiatives, the tools they use, or how they measure success in pricing activities. It shows you're engaged and serious about the position.
