Actuaries have been using data science since before there was data science, to predict the frequency and severity of claims.
Since then, there has been a proliferation of machine learning models in insurance, from Generalised Linear Models (GLM), to XGBoost and beyond.
Our clients use machine learning models in applications ranging from high throughput processing generating thousands of quotes per second, to rating multi hundred million policies.
Advanced fraud analytics is used to flag and manage potentially fraudulent claims.
