The Data Science Experience
Insurance
To keep pace with an evolving industry, data scientists must help insurers become AI-driven, customer-centered and more focused on fraud.
In his role as a data scientist, Ashley developed machine learning models to settle claims and tackle insurance fraud.
Ashley develops machine learning models that can revolutionize how claims are settled and insurance fraud is tackled. He holds a BSc in Mathematics with Statistics as well as an MSc in Data Analytics from the University of Glasgow.
Tim Chin
Data Scientist
State Farm
In his video, Tim shares how he works with complex models to set premiums, assess risks and settle claims.
Tim’s role involves building predictive models and researching new machine learning techniques in the insurance industry. He has a bachelor's degree in economics and statistics as well as a master's degree in statistics from the University of Illinois at Urbana-Champaign.
Jack Liu
Operational Performance and Integration Manager
Bupa
Jack explains how to apply operational automation to the health insurance data science process in his video.
As a winner of the Bupa Global Everyday Hero award from Bupa’s Australian health insurance business, Jack helps provide health and care services globally. He is a member of SAS Analytics Explorers, a community that explores analytics and helps other SAS users.
AI Heroes
Learn how other organizations use SAS® Viya® to deploy and scale analytics in the cloud.
SAS® Training
Browse free training and certification resources to launch a career in data science.
Data Science Events
Explore topics from past events that are relevant to data scientists.
Ask the Expert
Find tips and tricks on a variety of topics to gain new insights into using SAS technology.