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- Tasks: Create smart solutions using predictive models to enhance underwriting processes.
- Company: Leading data-driven insurance company based in Greater London.
- Benefits: Competitive salary, generous leave, health insurance, and more.
- Why this job: Join a forward-thinking team and shape the future of insurance with AI.
- Qualifications: Strong STEM background, Python and SQL skills, experience with Generative AI and AWS.
- Other info: Permanent full-time role with great career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading data-driven insurance company in Greater London is seeking an Applied Data Scientist. You will build intelligent solutions that empower the underwriting community with predictive models.
The ideal candidate should have:
- a strong STEM background
- proficiency in Python and SQL
- experience with Generative AI and AWS
This is a permanent full-time role offering a competitive salary and benefits including generous leave and health insurance.
Applied Data Scientist - AI-Driven Underwriting employer: Convex
Contact Detail:
Convex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist - AI-Driven Underwriting
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and Generative AI. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in roles like Applied Data Scientist.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Applied Data Scientist - AI-Driven Underwriting
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your STEM background and any relevant experience with Python, SQL, Generative AI, and AWS. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your previous projects or experiences relate to building predictive models and empowering the underwriting community.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary to showcase your expertise.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Convex
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to predictive modelling or AI solutions.
✨Showcase Your STEM Background
Prepare to talk about your educational background and any relevant experience that highlights your strong STEM foundation. Think of examples where your analytical skills made a difference in a project or problem-solving scenario.
✨Familiarise Yourself with Generative AI
Since the role involves AI-driven underwriting, be prepared to discuss your experience with Generative AI. Bring examples of how you've implemented or worked with this technology in past roles, and be ready to share your thoughts on its future in the insurance industry.
✨Understand the Company’s Vision
Research the company’s mission and values, especially how they leverage data in their underwriting processes. This will help you align your answers with their goals and demonstrate your genuine interest in contributing to their success.
