Jim Savage is the Director of Data Science at Schmidt Sciences, where he assists portfolio projects in prototyping their data science solutions, and helps to source grant and investment opportunities.

Before Schmidt Sciences, Jim was Head of Data Science at Lendable, where he built systems to automate due diligence processes and price portfolios of small loans in Sub-Saharan Africa. He also worked at the Grattan Institute in Australia, where he worked primarily on retirement savings policy, and at the Australian Treasury, on the ill-fated 2011 carbon price. He is a Bayesian statistician who specializes in discrete choice, causal inference, time series analysis, and the incorporation of contemporary machine-learning methods into all three fields.

Jim holds a Masters in Economics from the University of Melbourne and a first-class honours in Economics from La Trobe University. He was also a 2014 Eric and Wendy Schmidt Data Science for Social Good fellow at the University of Chicago.