At a Glance
- Tasks: Develop ML-driven algorithms for underwriting and evaluate risks across diverse business classes.
- Company: Ki Insurance, a forward-thinking company in the heart of London.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on reliability and scalability in cloud-native solutions.
- Why this job: Join a pioneering team and shape the future of insurance with innovative technology.
- Qualifications: Experience in algorithm development and a passion for machine learning.
The predicted salary is between 60000 - 80000 £ per year.
Ki Insurance in London is seeking a Senior Algorithm Engineer to join our Algorithmic Underwriting team.
You will work at the intersection of underwriting and algorithm development, building ML-enabled products that operate across 25+ classes of business.
You will help us evaluate risks, build a profitable portfolio in under a minute, and contribute to research on low data ML approaches, with a focus on reliability, scalability and cloud-native infrastructure.
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Senior Algorithm Engineer - ML-Driven Underwriting employer: Ki Insurance
Ki Insurance is an exceptional employer, offering a dynamic work environment in the heart of London that fosters collaboration and innovation. With a strong focus on employee development, we provide ample opportunities for growth within the marine insurance sector, alongside competitive benefits and a supportive culture that values teamwork and excellence. Join us to be part of a forward-thinking company that prioritises your professional journey while making a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Algorithm Engineer - ML-Driven Underwriting
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ki Insurance.
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We think you need these skills to ace Senior Algorithm Engineer - ML-Driven Underwriting
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ki Insurance, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ki Insurance. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ki Insurance
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ki Insurance!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
