At a Glance
- Tasks: Create smart solutions using predictive models for the underwriting team.
- Company: Leading data-driven insurance company 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 in London employer: Convex
Contact Detail:
Convex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist - AI-Driven Underwriting in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and data science fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, SQL, and Generative AI. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your knowledge of predictive models and AWS. We recommend practising with friends or using mock interview platforms to build your confidence.
✨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 Applied Data Scientist - AI-Driven Underwriting in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your STEM background and relevant experience in Python, SQL, and Generative AI. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
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 contribute to our underwriting community. Keep it engaging and personal – we love to see your personality come through.
Showcase Relevant Projects: If you've worked on projects involving predictive models or AWS, make sure to mention them! We’re interested in seeing real-world applications of your skills, so include any links or descriptions that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Convex
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially those related to predictive modelling and AI. Be ready to discuss how you've applied these in past projects, particularly in the context of underwriting.
✨Showcase Your Technical Skills
Make sure you can demonstrate your proficiency in Python and SQL during the interview. Prepare to solve a coding challenge or answer technical questions that showcase your ability to build intelligent solutions.
✨Familiarise Yourself with Generative AI and AWS
Since the role involves cutting-edge technology, be prepared to discuss your experience with Generative AI and AWS. Think of specific examples where you've used these tools to drive results in your previous roles.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data-driven underwriting and how they leverage AI. This shows your genuine interest in the role and helps you assess if it's the right fit for you.