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- Tasks: Lead a team to design risk models and optimise pricing strategies using machine learning.
- Company: A growing insurance company focused on innovation and market solutions.
- Benefits: Hybrid working, competitive benefits, and opportunities for professional growth.
- Why this job: Make a real impact in the insurance industry with cutting-edge data science.
- Qualifications: Experience in statistical modelling, Python skills, and understanding of insurance risk.
- Other info: Join a dynamic team and contribute to innovative market solutions.
The predicted salary is between 43200 - 72000 £ per year.
A growing insurance company is seeking a Lead Data Scientist to oversee the Risk pricing team. This role involves designing risk models, applying machine learning methodologies, and leading a dynamic team to optimize pricing strategies.
Candidates should possess solid experience in statistical modeling, excellent Python skills, and a comprehensive understanding of insurance risk.
The position offers hybrid working arrangements, competitive benefits, and an opportunity to contribute to innovative market solutions.
Lead Data Scientist, Risk Pricing & ML employer: The Acorn Group
Contact Detail:
The Acorn Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist, Risk Pricing & ML
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend relevant meetups. We can’t stress enough how personal connections can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving risk models and machine learning. This is your chance to demonstrate your expertise in Python and statistical modelling.
✨Tip Number 3
Prepare for interviews by brushing up on common data science scenarios and case studies. We recommend practising with friends or using mock interview platforms to get comfortable discussing your thought process.
✨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 are proactive about their job search!
We think you need these skills to ace Lead Data Scientist, Risk Pricing & ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in statistical modelling and Python skills. We want to see how your background aligns with the role of Lead Data Scientist, 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 risk pricing and machine learning. We love seeing candidates who can connect their personal experiences to our mission at StudySmarter.
Showcase Your Leadership Skills: Since this role involves leading a team, make sure to highlight any previous leadership experiences. We’re looking for someone who can inspire and guide others, so share examples of how you've successfully led projects or teams 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 position. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at The Acorn Group
✨Know Your Models Inside Out
Make sure you can discuss your experience with statistical modelling and machine learning methodologies in detail. Be prepared to explain how you've applied these techniques in past projects, especially in the context of risk pricing.
✨Showcase Your Python Skills
Brush up on your Python programming skills before the interview. Be ready to demonstrate your coding abilities, perhaps by discussing specific libraries or frameworks you've used in your work related to data science and risk assessment.
✨Understand the Insurance Landscape
Familiarise yourself with current trends and challenges in the insurance industry, particularly around risk pricing. This will help you engage in meaningful discussions and show that you're not just a data expert but also understand the business context.
✨Lead with Confidence
As a Lead Data Scientist, you'll be expected to lead a team. Prepare to discuss your leadership style and provide examples of how you've successfully managed teams in the past, focusing on collaboration and innovation in problem-solving.
