Case Study: NTUC Income achieves faster, more accurate pricing analysis with DataRobot

Pricing Analysis with DataRobot at NTUC Income

NTUC Income, Singapore’s largest composite insurer serving over two million customers, faced rising claims costs and a daunting pricing‑analysis challenge. Traditional actuarial approaches and Excel struggled with non‑linear relationships, interaction effects and text in claim descriptions, so NTUC Income turned to DataRobot’s automated machine learning platform to uncover hidden drivers and scale its pricing work.

DataRobot delivered features such as Feature Impact, Feature Effects, Word Cloud and Prediction Explanations that let NTUC Income quickly detect shifts in exposure, claim frequency/severity and emerging claim types, and benchmark competitor pricing. The platform cut analysis time from days to under an hour, enabled more accurate technical and commercial pricing, helped identify mispriced exposures, and made insights easier to communicate across the business.

NTUC Income

Kwek Ee Ling

Actuarial Senior Manager