We are seeking a highly motivated candidate with a working knowledge of concepts from applied statistics/probability, machine learning, algorithms and complexity, human-computer interaction, and marketing would be of benefit to someone working on this project. This project also requires proficiency in the Python programming language, and machine learning software packages such as Pytorch or Tensorflow.
This project will investigate how the availability of collective and personalised data summaries impacts end-users and customers, and what behavioural changes are enacted as a result. Improving customer decision making is an under-studied area. In collaboration with global insurance company, Allianz Partners Australia, this research will explore the use of data stories as an approach to improve customer engagement and decision making. A crowd-sourced approach will be utilised, and further in-the-wild studies will be conducted to validate and improve the method with the help of Allianz customer networks that span international health and life, travel, and automotive insurance.