• 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.