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- Tasks: Lead projects and develop predictive models for insurance pricing using machine learning.
- Company: A leading UK insurance provider with a focus on innovation.
- Benefits: Flexible working, detailed benefits package, and opportunities for mentorship.
- Why this job: Make a real impact in the insurance industry while leading a dynamic team.
- Qualifications: Strong predictive modelling and Python skills, plus experience in personal lines pricing.
- Other info: Join a collaborative environment with great career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
A leading UK insurance provider is seeking a Senior Data Scientist to lead projects and develop predictive models for pricing activities. This role involves steering machine learning approaches to derive insights from extensive customer data and is integral to managing and mentoring a small team.
Candidates should have strong predictive modelling and Python skills, along with experience in personal lines pricing, to contribute effectively to the company’s data-driven goals. A detailed benefits package and flexible working are offered.
Senior Data Scientist — Insurance Pricing & ML Lead (Hybrid) in England employer: Hastings Direct
Contact Detail:
Hastings Direct Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — Insurance Pricing & ML Lead (Hybrid) in England
✨Tip Number 1
Network like a pro! Reach out to connections in the insurance and data science fields. Attend industry events or webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and machine learning projects. Use platforms like GitHub to share your code and insights. This gives potential employers a taste of what you can bring to the table, especially in pricing activities.
✨Tip Number 3
Prepare for those interviews! Brush up on common data science interview questions, especially around Python and predictive modelling. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and thought processes.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive roles listed there that you won’t find anywhere else. Don’t miss out on your dream job!
We think you need these skills to ace Senior Data Scientist — Insurance Pricing & ML Lead (Hybrid) in England
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your predictive modelling and Python skills in your application. We want to see how your experience aligns with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience in personal lines pricing and how it relates to the projects we’re working on at StudySmarter.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key points stand out without unnecessary fluff.
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!
How to prepare for a job interview at Hastings Direct
✨Know Your Data Inside Out
Make sure you’re well-versed in the data science techniques relevant to insurance pricing. Brush up on your predictive modelling skills and be ready to discuss specific projects where you've applied machine learning to derive insights from customer data.
✨Showcase Your Python Proficiency
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be ready to explain your thought process clearly.
✨Prepare for Team Leadership Questions
As this role involves mentoring a small team, think about your leadership style and past experiences. Be ready to share examples of how you've guided others in their projects and how you handle challenges within a team setting.
✨Align with Their Data-Driven Goals
Research the company’s current data initiatives and be prepared to discuss how your experience aligns with their goals. Showing that you understand their mission and can contribute to their data-driven strategies will set you apart.
