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Overview
Mid-Level

Summer Economist 2026

Confirmed live in the last 24 hours

Keystone

Keystone

Compensation

$11,000 - $12,000/year

Boston, New York, San Francisco, Seattle, Washington D.C., London
On-site
Posted April 21, 2026

Job Description

Keystone is a premier economics, technology, and strategy consulting firm built to help companies lead through transformation. As breakthrough innovations reshape industries, redefine competition and change our society, complex and highly competitive ecosystems emerge. Keystone advises technology leaders, Fortune 100 companies, their legal counsel, and governments on business, economic, litigation, and regulatory strategy in relation to these innovations and competitive eco-systems. We operate globally from offices in New York, Boston, San Francisco, Seattle, London, Dubai, and Washington, D.C.

As a Summer Economist at Keystone, you will leverage complex data sets to deliver actionable advice and creative solutions to our clients. You will use traditional and innovative economic frameworks to craft compelling arguments where the stakes are high. You will learn sophisticated modeling approaches and econometric techniques that enable you to draw conclusions from large data sets. Your project management skills will be on display as you lead a diverse range of cases across a variety of clients and industries. 

At Keystone you will work on big ideas with Fortune 100 tech clients, grow your professional network, and gain relationships that last a lifetime. Partner with leading academic experts from Stanford, Harvard, MIT, Wharton, and other top universities on some of the most interesting problems in modern society. Be one of the few people to work on exclusive, enormous data sets available to companies today. Working alongside talented colleagues, you’ll learn to take on challenges before you have the resources to complete them and how to marshal the resources necessary to succeed. 

Qualifications 

  • Ph.D. in Economics from a leading global institution 
  • Experience working with large data sets 
  • Experience working with at least one major statistical package 
  • Intellectually curious and quick to learn with a passion for excellence 
  • Desire to work in a fast-paced, self-directed entrepreneurial environment 
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