Technical Strategist (Python fluency)

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 Boston, New York City, San Francisco, Seattle, Washington, D.C., London, Dubai, and Bengaluru.

About the Technical Strategist Role

As a Technical Strategist at Keystone, you will be a core member of interdisciplinary 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.

Key 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 

 What You’ll Bring 

• Bachelor's and/or Master's degree in Computer Science, Computer Engineering, 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