Data Scientist
Role summary by JobGrid
Data Scientist at Ki: City of London, United Kingdom; Hybrid; Full time; IT; Data Science & ML. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: City of London, United Kingdom, Hybrid
- Role classification: IT, Data Science & ML, Full time
- Source freshness: checked by JobGrid on 2026-05-28.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Who are we?👋
Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs.
Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days.
Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing syndicate in the Lloyd's of London market, and the first ever to make $100m in profit in 3 years.
Ki’s teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status-quo and help it reach new horizons.
Where you come in?
Working within the Algorithmic Underwriting team, the Data Scientist focusses on the build, deployment, and safe operation of Ki's suite of risk modelling and risk selection algorithms. They collaborate with product, engineering, actuarial, and underwriting teams to develop models, experiment with new datasets and features, and integrate these into underwriting and portfolio management capabilities.
What you will be doing: 🖋️
- Work with other data scientists, actuaries, engineers, and commercial teams to deliver and maintain production-grade machine learning models at scale.
- Carry out regular monitoring, assessments, and optimisation of live data, models, and the underwriting algorithm to identify opportunities for improvement.
- Explore new ideas and emerging statistical, agentic and LLM, and machine learning approaches and technologies to understand how they can be embedded into the Ki algorithm or wider business processes.
- Drive improvements in the way we operate as a digital underwriting capability
- Manage and/or support the development of junior members of the team