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- Tasks: Drive business forward using innovative pricing models and machine learning techniques.
- Company: Leading Insurtech firm in London with a high-performing team.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the insurance industry.
- Qualifications: 3 to 8 years of experience in personal lines insurance and technical pricing skills.
- Other info: Proactive mindset needed in a small, collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading Insurtech firm in London is seeking a Technical Pricing/Data Science professional to join their high-performing team. This role offers the opportunity to work fully remote while driving business forward using an in-house pricing system that combines traditional models with machine learning techniques in Python.
Candidates should possess 3 to 8 years of experience in personal lines insurance and a strong technical pricing background. A proactive approach is essential in this small team environment.
Remote Pricing Data Scientist - Personal Lines Insurtech employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Pricing Data Scientist - Personal Lines Insurtech
✨Tip Number 1
Network like a pro! Reach out to folks in the Insurtech space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and machine learning. This is your chance to demonstrate how you can drive business forward with your technical pricing expertise.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of personal lines insurance. Be ready to discuss how your experience aligns with the company's goals and how you can contribute to their high-performing team.
✨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 Remote Pricing Data Scientist - Personal Lines Insurtech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in personal lines insurance and technical pricing. 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 the role and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Technical Skills: Since this role involves machine learning and Python, make sure to mention any relevant projects or experiences. We love seeing candidates who can demonstrate their technical prowess in practical ways!
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’s super easy!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Numbers
Make sure you brush up on your technical pricing knowledge. Be ready to discuss specific models you've worked with and how you've applied machine learning techniques in Python. This will show that you not only understand the theory but can also implement it effectively.
✨Show Your Proactivity
Since this role is in a small team, it's crucial to demonstrate your proactive approach. Prepare examples of how you've taken initiative in past roles, whether that's improving processes or leading projects. This will highlight your ability to drive business forward.
✨Familiarise Yourself with Insurtech Trends
Stay updated on the latest trends in the Insurtech space, especially regarding personal lines insurance. Being able to discuss current challenges and innovations in the industry will impress your interviewers and show your genuine interest in the field.
✨Prepare Questions
Have a few thoughtful questions ready for your interviewers. Ask about the company's future plans, their approach to integrating traditional models with machine learning, or how they measure success in the team. This shows you're engaged and serious about the opportunity.
