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.

What you will be working on

We're looking for a Data Scientist to join our team, where you’ll enable the Ki’s algorithm to learn from data in order to better carry out underwriting and portfolio management capabilities, whilst owning the delivery of individual machine learning models to help Ki better assess and manage risk.

Fully utilizing your experience with common machine learning frameworks (e.g. scikit-learn, TensorFlow, etc.) as well as any experience you have working in cloud environments (GCP would be great!) and your understanding of Machine Learning approaches, algorithms and how they are monitored and maintained.

You’ll join a team on an exciting journey –we’re solving industry problems that have never been solved before.

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 – apply here.