Associate Data Scientist

Job Description

Who are we?
Ki is the biggest global insurance tech company you’ve never heard of, unless you’ve been looking to insure a satellite, wind farm or music festival recently.

Having written over $877m in gross written premium in 2023, we’ve achieved significant growth since our beginnings in 2021. Our investors were excited about the fact we were revolutionising the way a 333 year-old industry was working. There are hardly any industries left that are mainly paper based, but the specialty insurance market is one. Together with partners at Google and UCL we developed Ki and created a platform that helps insurance brokers place risk in a fast and frictionless way. We’re continuing to lead the charge on the digitisation of this market and we need more excellent minds to work with us to realise this goal and create more opportunities.

Purpose of the Role
We’re looking for an Associate Data Scientist to join our Algorithmic Underwriting team, focussing on the build and enhancement of the suite of Ki’s machine learning algorithms, to better carry out underwriting and portfolio management capabilities.

You’ll bring your experience of carrying out analysis of machine learning model quality to identify potential improvements in our models, whilst performing exploratory data analysis on various internal and external data sets to drive improvements to Ki’s algorithm.

You’ll participate in the Data Science community within Ki and develop skills in line with our talent structure and are comfortable working with Python and machine learning frameworks.

Our culture
Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race, gender, ethnicity, sexual orientation, physical ability, thought and social background bring richness to our working environment. No matter who you are, where you’re from, how you think, or who you love, we believe you should be you.

You’ll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals.

If this sounds like a role and a culture that appeals to you, let us know.