Ki

About the Company

Ki is a glimpse into the future of risk, redefining what good looks like. It exists to delight brokers and clients. It does this by taking the friction and cost out of placing risk at Lloyd’s of London, by allowing brokers access to an instant underwriting decision, anytime, every time, from anywhere.

Ki uses a proprietary algorithm to underwrite risk, in conjunction with the latest machine learning technology, to make faster, more informed decisions. Built in partnership with Google Cloud and University College London, and backed by Fairfax Financial and Blackstone, Ki redefines the expectations for technology in the market, and harnesses the potential of data. But whilst Ki has a bionic brain, it has a human heart. A wealth of insurance knowledge, expertise and assistance is only a click away.

Risk, simplified.

Listed Jobs

Company Name

Ki

Job Title

Data Analyst

Job Description

Job title: Data Analyst Role Summary: Provides data-driven insights, builds and maintains analytic models, dashboards, and data pipelines to inform business strategy and operational efficiency. Works at the intersection of analytics, engineering, and product across cross‑functional teams. Expactations: Demonstrated ability to translate business problems into analytical solutions; effective collaborator with stakeholders; strong documentation and communication skills; commitment to data quality, governance, and automation. Key Responsibilities: - Generate insights and measurements on business initiatives using data analytics. - Identify and engage opportunities for data‑driven commercial and operational improvement. - Design, develop, and maintain core data sets and analytic tools. - Create and upkeep visualizations and dashboards (Tableau, Power BI, Looker, Dash, Streamlit). - Develop scalable data solutions aligned with engineering standards and best practices. - Ensure data integrity, resolve data issues, and enforce governance policies. - Document systems, models, and processes per company standards. - Recommend and implement automation and new analytical tooling. Required Skills: - SQL and Python for data manipulation and analysis. - Experience with reporting and visualization tools. - Proficient in statistical techniques (regression, clustering, correlation). - Knowledge of cloud‑native environments (GCP preferred). - Ability to design user‑friendly data structures. - Strong documentation, presentation, and communication abilities. - Experience in regulated industries. Required Education & Certifications: - Bachelor’s degree (or equivalent) in Data Science, Statistics, Computer Science, or related field. - Relevant certifications (e.g., Google Cloud Certified – Data Engineer, Tableau Desktop Specialist, Microsoft Certified: Power BI Data Analyst) preferred. (Note: No company details, location, benefits, or fluff included.)

London, United kingdom

Hybrid

18-03-2026