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- Tasks: Develop machine learning models to enhance insurance pricing and improve underwriting performance.
- Company: Leading insurance provider with a focus on innovation and data-driven solutions.
- Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the insurance industry with your data skills.
- Qualifications: PhD or master's in a relevant field, plus programming experience in Python or R.
- Other info: Collaborative environment with access to vast data assets for impactful projects.
The predicted salary is between 60000 - 80000 £ per year.
A leading insurance provider is seeking a Senior Data Scientist to develop machine learning predictive models for insurance pricing in Manchester. The successful candidate will leverage vast data assets to improve underwriting performance and collaborate with pricing teams.
Applicants should have a PhD or master's degree in a relevant field and programming experience in Python or R, with a strong background in statistical analysis and data science. This role offers flexible hybrid working arrangements.
Senior Data Scientist - Hybrid (Pricing & ML) in Manchester employer: Vermelo RPO
Contact Detail:
Vermelo RPO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Hybrid (Pricing & ML) in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the insurance sector, especially those in data science roles. They can provide insider info and might even refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those related to pricing models. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Ace the interview! Brush up on your statistical analysis and programming knowledge in Python or R. Be ready to discuss how you've used these skills to solve real-world problems in previous roles.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application and get noticed. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Data Scientist - Hybrid (Pricing & ML) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data science and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your programming prowess in Python or R!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about insurance pricing and how your background can help us improve underwriting performance. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool projects related to predictive modelling or statistical analysis, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
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 Vermelo RPO
✨Know Your Data Science Stuff
Make sure you brush up on your statistical analysis and machine learning concepts. Be ready to discuss your previous projects, especially those involving predictive models for pricing. The more specific examples you can provide, the better!
✨Show Off Your Programming Skills
Since programming in Python or R is key for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to keep your skills sharp.
✨Understand the Insurance Industry
Familiarise yourself with the insurance sector, particularly how data science impacts pricing and underwriting. Showing that you understand the business context will impress the interviewers and demonstrate your genuine interest in the role.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data assets and how they collaborate with pricing teams. This shows that you're not just interested in the job, but also in how you can contribute to their success.