CAS 2027 AI Workplace Productivity Summer Intern

CAS uses intuitive technology, unparalleled scientific content, and unmatched human expertise to help companies create groundbreaking innovations that benefit the world. As the scientific information solutions division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for over 118 years, has helped innovators mine, assess, and apply that information to keep businesses thriving. The CAS team is global, diverse, and endlessly curious, and strives to make scientific insights accessible to innovators worldwide.

Position Summary:

CAS is currently seeking an AI Workplace Productivity Intern for Summer 2027. This position will be located at our headquarters in Columbus, Ohio. The Internship will run from May 17th, 2027, to August 6th, 2027.

Our Summer Intern Program aims to foster a high level of engagement and learning through in-depth immersion in our working environment with professional teams. Participants will gain exposure to emerging workplace technologies, enterprise AI tools, productivity platforms, and practical business process improvement opportunities while expanding their professional network with CAS staff and fellow interns.

The AI Workplace Productivity Intern will help identify, test, document, and promote practical uses of Microsoft Copilot, Microsoft 365, and other approved AI-enabled tools to improve employee productivity and streamline business processes. Working within Workplace Technology, the intern will focus on real-world business outcomes rather than software development, helping teams discover opportunities where AI can automate repetitive work, accelerate data analysis, improve knowledge sharing, and enhance day-to-day employee experiences for senior executives and business teams.

Job Accountabilities:

• Identify opportunities to improve workplace productivity for the CAS Leadership Team, using Microsoft Copilot, Microsoft 365, Power Platform, and other approved AI-enabled tools.
• Interview teams and employees to understand current workflows, productivity challenges, and opportunities for practical AI-enabled process improvement.
• Build, test, and document AI-assisted workflows that support common business tasks such as Excel analysis and reporting, document creation and summarization, meeting preparation and follow-up, knowledge management, and repetitive administrative processes.
• Create quick-reference guides, demonstrations, templates, and learning materials that help employees understand when and how to use approved AI solutions effectively.
• Research best practices for prompt engineering, responsible AI use, AI-assisted work, and productivity transformation in an enterprise environment.
• Gather user feedback, identify adoption barriers, and recommend practical opportunities for future pilots, experimentation, and broader organizational adoption.
• Connect across the organization through the Summer Intern Program to build influential working relationships and gain insight into future technology career opportunities.

Qualifications:

• Pursuing a degree in Information Technology, Business, Computer Science, Data Analytics, Information Systems, or related discipline.
• Strong interest in artificial intelligence, end-user technology, productivity tools, and business process improvement.
• Experience with Microsoft 365 applications, especially Excel, Word, PowerPoint, Teams, and Outlook.
• Familiarity with Microsoft Copilot, Claude, Power Platform, or similar AI and automation tools is preferred.
• Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
• Strong analytical, problem-solving, teaming, and presentation skills.
• Ability to work effectively in a professional technology environment as well as independently.

Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Disabled/Veteran