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- Tasks: Lead projects and develop predictive models in insurance pricing using advanced data science techniques.
- Company: A forward-thinking digital insurance provider with a focus on innovation.
- Benefits: Competitive salary, flexible working, medical insurance, and generous annual leave.
- Why this job: Join a dynamic team and make a real impact in the insurance industry with machine learning.
- Qualifications: Experience in General Insurance pricing and a passion for machine learning.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A digital insurance provider is seeking a Senior Data Scientist to lead projects and develop predictive models. The role involves using advanced data science techniques within a combined team of Actuaries and Data Scientists. Ideal candidates will have experience in General Insurance pricing and a keen interest in machine learning. Offering a competitive salary, flexible working, and various benefits including medical insurance and annual leave.
Lead Data Scientist – Insurance Pricing & ML Leader in Melton Mowbray employer: Hastings Direct
Contact Detail:
Hastings Direct Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist – Insurance Pricing & ML Leader in Melton Mowbray
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your predictive models and projects. This will give potential employers a taste of what you can do, especially in insurance pricing and machine learning.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with advanced data science techniques and how they apply to real-world problems in insurance.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our team.
We think you need these skills to ace Lead Data Scientist – Insurance Pricing & ML Leader in Melton Mowbray
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in General Insurance pricing and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can lead projects effectively. Let us know what excites you about working with actuaries and data scientists.
Showcase Your Technical Skills: We’re looking for someone who’s not just experienced but also up-to-date with the latest data science techniques. Mention any specific tools or programming languages you’re proficient in that are relevant to the role.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Hastings Direct
✨Know Your Data Science Stuff
Make sure you brush up on your data science techniques, especially those related to predictive modelling and machine learning. Be ready to discuss specific projects you've worked on, particularly in insurance pricing, as this will show your expertise and relevance to the role.
✨Understand the Insurance Landscape
Familiarise yourself with the current trends and challenges in the insurance industry. Being able to speak knowledgeably about how data science can impact pricing strategies will impress the interviewers and demonstrate your genuine interest in the field.
✨Showcase Team Collaboration
Since you'll be working alongside Actuaries and other Data Scientists, highlight your experience in collaborative projects. Share examples of how you've successfully worked in teams to solve complex problems, as this is crucial for the role.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This could be about the company's approach to machine learning or how they integrate data science into their pricing models. It shows you're engaged and serious about the opportunity.
