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- Tasks: Develop and deploy machine learning models to optimise customer premiums.
- Company: Leading insurance provider in Greater London with a focus on innovation.
- Benefits: Hybrid work model, enhanced parental leave, and a learning budget.
- Why this job: Join a dynamic team and make a real impact in the insurance industry.
- Qualifications: Strong Python programming skills and experience in statistical modelling.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading insurance provider in Greater London is seeking a Data Scientist to develop and deploy machine learning models aimed at optimizing customer premiums. The successful candidate will collaborate with various teams to implement effective pricing strategies based on data insights.
Essential qualifications include:
- Strong programming skills in Python
- A solid understanding of statistical modelling
- Experience in the insurance domain
The role is based in a hybrid work model, offering excellent benefits including enhanced parental leave and a learning budget.
Pricing & ML Data Scientist — Insurance Innovator employer: Policy Expert
Contact Detail:
Policy Expert Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing & ML Data Scientist — Insurance Innovator
✨Tip Number 1
Network like a pro! Reach out to people in the insurance and data science fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to pricing strategies. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and statistical modelling knowledge. Practice common data science interview questions and be ready to discuss how you've used data insights to drive decisions in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Pricing & ML Data Scientist — Insurance Innovator
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in Python and any experience you have in statistical modelling. We want to see how your background aligns 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 optimising customer premiums and how your experience in the insurance domain makes you a perfect fit for us. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since this role involves working with various teams, highlight any past experiences where you've successfully collaborated on projects. We love seeing candidates who can work well with others and contribute to effective pricing strategies!
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 and submit your materials!
How to prepare for a job interview at Policy Expert
✨Know Your Data Science Stuff
Make sure you brush up on your Python programming skills and statistical modelling techniques. Be ready to discuss specific projects where you've applied these skills, especially in the insurance sector. This will show that you not only understand the theory but can also apply it practically.
✨Understand the Insurance Landscape
Familiarise yourself with current trends and challenges in the insurance industry. Knowing how machine learning can optimise customer premiums will give you an edge. Prepare examples of how data insights can drive pricing strategies, as this is key for the role.
✨Collaborative Mindset
Since the role involves working with various teams, be prepared to discuss your experience in collaboration. Think of examples where you’ve successfully worked with cross-functional teams to implement data-driven solutions. Highlight your communication skills and how you can bridge the gap between technical and non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to machine learning and pricing strategies. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values. Questions about their hybrid work model and learning budget can also demonstrate your enthusiasm for growth.
