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Data Science fellowship - Pandemic Response Accountability Committee

The Pandemic Response Accountability Committee (PRAC) is seeking current and recent undergraduate and graduate students to serve as a Data Science Fellow to support its mission for up to two years.


  • Driving analytic projects with PRAC partners to address identified business needs involving the oversight of covered funds
  • Developing risk scoring models to identify potential instances of fraud, waste, abuse, and mismanagement and prioritize efforts in the areas of greatest risk
  • Analyzing complex datasets to identify actionable insights and communicate results to support data-driven decisions

The candidate should have a strong understanding of analytic principles, techniques, and tools. The Fellow reports directly to the PRAC Fellowship Program Coordinator. 

In addition to gaining federal sector experience and knowledge, selected candidates can expect to further refine their existing data science and analytic skills on diverse, real-world challenges that have a direct impact on their fellow citizens.


As a Data Science Fellow for the PRAC, you will be part of an exciting mission with the opportunity to deliver an impact by transforming data into insights to assist with the oversight of more than $3 trillion in coronavirus relief spending. The Data Science Fellow will provide analytic support based on an identified business need. The Fellowship Program is open to recent graduates and current college and university students. Expected work hours are as follows:

  • Recent graduates -- Full time
  • Current junior year students -- 60-89 hours per semester
  • Current senior year students and post-grads -- 90 hours or more a semester

For further details on fellowship duties, eligibility requirements, and how to apply, visit >>