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For Companies At a Glance
- Tasks: Enhance pricing models and conduct statistical analyses to drive strategic change.
- Company: Leading Personal Lines Insurer focused on innovation and growth.
- Benefits: Competitive salary, flexible working options, and opportunities for professional development.
- Why this job: Make a real impact on profitable growth with your data science skills.
- Qualifications: Proficient in Python or R and experienced in statistical analysis software.
- Other info: Join a dynamic team with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading Personal Lines Insurer is seeking a Technical Pricing Manager to drive strategic change by enhancing model sophistication. In this role, you will develop actuarial models, conduct statistical analyses, and communicate insights to stakeholders to support profitable growth.
Candidates must be proficient with data science techniques in Python or R and have experience with statistical analysis software, preferably Willis Towers Watson. Excellent communication skills are essential for presenting complex information clearly.
Technical Pricing Data Scientist for Insurer Growth in London employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Pricing Data Scientist for Insurer Growth in London
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or at events. We can’t stress enough how personal connections can open doors for you, especially in niche roles like Technical Pricing Data Scientist.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those using Python or R. This will help us see your practical experience and how you can enhance model sophistication.
✨Tip Number 3
Prepare for interviews by practising your communication skills. You’ll need to present complex information clearly, so rehearse explaining your past projects and analyses in simple terms. We want to see how you can engage stakeholders!
✨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 that extra step to connect with us directly.
We think you need these skills to ace Technical Pricing Data Scientist for Insurer Growth in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data science techniques in Python or R. We want to see how your skills align 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 enhancing model sophistication and how your background in statistical analysis can drive strategic change for us.
Showcase Communication Skills: Since excellent communication is key, include examples of how you've presented complex information clearly in the past. We love seeing candidates who can bridge the gap between technical details and stakeholder understanding!
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 to support profitable growth!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Data Science Tools
Make sure you're well-versed in Python or R, as these are crucial for the role. Brush up on your statistical analysis skills and be ready to discuss specific projects where you've used these tools effectively.
✨Understand the Insurer's Needs
Research the company and its current challenges in personal lines insurance. Be prepared to discuss how your experience with actuarial models can help them enhance model sophistication and drive profitable growth.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex data insights in simple terms. Think of examples where you've successfully communicated technical information to non-technical stakeholders.
✨Prepare for Technical Questions
Expect questions that test your knowledge of statistical analysis software, especially Willis Towers Watson. Review common techniques and be ready to solve problems on the spot to demonstrate your expertise.
