Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop cutting-edge algorithms for risk assessment in insurance.
- Company: Join Ki, a forward-thinking insurance tech company in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement.
- Why this job: Make a real impact in the insurance industry using machine learning and Python.
- Qualifications: Expertise in machine learning, Python, and cloud technologies required.
The predicted salary is between 60000 - 80000 £ per year.
Ki is seeking an Algorithm Engineer to join their innovative team in London. The role involves designing, developing, and maintaining algorithms for risk assessment and portfolio management.
Successful candidates will have expertise in machine learning and Python programming, and experience with cloud providers. You will work on ensuring the robustness and availability of the Ki algorithm, while engaging in the integration of algorithms into broader platforms. A familiarity with the insurance market is beneficial.
ML-Driven Insurance Algorithm Engineer employer: Ki
Contact Detail:
Ki Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML-Driven Insurance Algorithm Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and tech sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to risk assessment. This will give you an edge when discussing your experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and algorithm design. Practise coding challenges and be ready to explain your thought process clearly.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our innovative team at Ki. It shows initiative and enthusiasm!
We think you need these skills to ace ML-Driven Insurance Algorithm Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in machine learning and Python programming. We want to see how your skills align with the role, so don’t hold back on showcasing your projects or experiences that demonstrate your capabilities.
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your familiarity with the insurance market and how it relates to the algorithms you’ve worked on. This shows us you’re genuinely interested in the position and understand what we do.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to make your key achievements stand out!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our team and culture.
How to prepare for a job interview at Ki
✨Know Your Algorithms
Brush up on your knowledge of machine learning algorithms, especially those relevant to risk assessment and portfolio management. Be ready to discuss how you've applied these in past projects, as this will show your practical experience and understanding.
✨Python Proficiency is Key
Make sure you're comfortable with Python programming. Prepare to solve coding challenges or explain your code during the interview. Practising common algorithms and data structures in Python can give you a solid edge.
✨Cloud Knowledge Matters
Familiarise yourself with different cloud providers and their services, as they are crucial for deploying algorithms. Be prepared to discuss any experience you have with cloud platforms and how you've used them in your previous roles.
✨Understand the Insurance Landscape
Having a grasp of the insurance market can set you apart from other candidates. Research current trends and challenges in the industry, and think about how your skills can contribute to innovative solutions at Ki.