2027 Summer Technologists Interest

Keystone•Washington, DC
•$7,000 - $12,500

About The Position

As a Technologist Summer Associate, you will work alongside interdisciplinary Keystone teams tackling high-stakes litigation, regulatory, and strategic matters involving AI, data systems, digital risk, and emerging technologies. You’ll be applying your technical expertise to help clients navigate complex, tech-centric challenges. With fluency in Python and deep comfort across data structures, software systems, and algorithmic thinking, you’ll transform ambiguous problems into clear, defensible insights that shape the outcomes of major cases and decisions. In a nutshell, we don't build technology, we build arguments about technology. Your education and experience may align with data science, software engineering, data engineering, code analysis or hardware. Throughout the summer, you will receive mentorship and feedback, while gaining direct exposure to the work performed by our full-time Technologists.

Requirements

  • Bachelor's and/or Master's degree in Computer Science, Computer Engineering, Mathematics or a related field
  • Fluency in one or more other programming language in addition to Python
  • Undergraduate level capability with data structures and algorithms
  • A balance of technical excellence, intellectual curiosity, and entrepreneurial spirit suited to a fast-moving, global consulting environment
  • Analytical skills with an ability to structure complex real-world problems
  • Ability to manage multiple analytical workstreams and communicate complex findings clearly to technical and non-technical audiences
  • Team player who can collaborate with multiple stakeholders and functional areas
  • Clear, structured written and verbal communication skills
  • Ability to learn quickly and contribute in a fast-paced, collaborative environment
  • Coachable, growth-oriented, and receptive to feedback
  • Strong attention to detail and commitment to producing high-quality work
  • Interest in economic, litigation, technology, or strategy consulting and specifically in Keystone’s work

Responsibilities

  • Work with an interdisciplinary team on litigation cases spanning AI, data analytics, digital risk, emerging technology governance, and regulatory compliance
  • Build analytical models, investigative workflows, and technology assessments
  • Build, test and operationalize machine learning models, large language models (LLMs), and analytical pipelines that scale across projects
  • Contribute to the development of internal tools, libraries, and frameworks that enhance analytical consistency and scalability
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