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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 London 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 London
✨Tip Number 1
Network like a pro! Reach out to people in the insurance and data science fields on LinkedIn. A friendly chat can open doors and give you insights that might just land you that Senior Data Scientist role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your predictive models and machine learning projects. When you get the chance to chat with potential employers, let your work do the talking.
✨Tip Number 3
Practice makes perfect! Brush up on your Python skills and be ready to tackle technical questions or coding challenges during interviews. We all know how crucial those skills are for this role!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Scientist — Insurance Pricing & ML Lead (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your predictive modelling and Python skills. We want to see how your experience aligns with the role, especially in personal lines pricing. Customising your CV can really make you stand out!
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. We love seeing candidates who can connect their experiences to our goals.
Showcase Your Team Leadership Skills: Since this role involves mentoring a small team, don’t forget to mention any leadership experience you have. We’re looking for someone who can inspire and guide others, so share examples of how you've done this in the past.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Hastings Direct
✨Know Your Data Inside Out
Make sure you’re well-versed in the data sets relevant to insurance pricing. Brush up on your predictive modelling techniques and be ready to discuss how you've applied them in past projects. This will show that you can hit the ground running.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise during the interview. You might be asked to solve a problem or explain your approach to a specific project. Practising coding challenges related to data science can help you feel more confident.
✨Highlight Leadership Experience
Since this role involves mentoring a small team, be ready to share examples of how you've led projects or guided colleagues in the past. Discuss your leadership style and how you foster collaboration and innovation within a team.
✨Understand the Company’s Goals
Research the company’s data-driven objectives and think about how your skills align with their vision. Being able to articulate how you can contribute to their goals will set you apart from other candidates.
