About The Position

The Technology Strategy & Transformation Intern will contribute to projects that support Global Risk Solutions’ digital capabilities, cost visibility, and use of AI. The intern will work with experienced professionals across technology, product, and strategy and gain hands-on experience and exposure to senior leaders in a collaborative, fast-paced environment. The internship is 11 weeks long, with two scheduled date options: May 17, 2027–July 30, 2027, or June 1, 2027–August 13, 2027. Limited exceptions may be considered case by case.

Requirements

  • Be an undergraduate student pursuing a bachelor’s degree in Business, Finance, Economics, Communications, Data Science, Statistics, Computer Science, Information Systems, Mathematics, or a related field.
  • Have a strong academic record; a cumulative 3.0 GPA is preferred.
  • Have 0–2 years of professional experience.
  • Be authorized to work permanently in the United States.
  • Be curious, eager to learn, and comfortable taking on new challenges.
  • Show initiative, think creatively, and be open to new ideas.
  • Have strong written and verbal communication skills and work effectively with others.
  • Be organized, detail-oriented, and comfortable managing multiple priorities.
  • Be comfortable using technology and interested in applying AI and other emerging tools in a professional environment.
  • Have working knowledge of Microsoft Word, Excel, PowerPoint, and Outlook.

Nice To Haves

  • Experience or interest in research, data analysis, strategy, process improvement, technology, or AI.
  • Cumulative GPA of 3.0 or higher.

Responsibilities

  • Work with the Technology Strategy & Transformation team and partners across GRS and Technology on active efforts to improve visibility into costs and operations.
  • Gather and organize data, document current processes, and contribute analysis on opportunities to improve alignment, reduce duplication, and create efficiencies.
  • Learn the team’s deliverables, stakeholders, and accountabilities, then identify opportunities to improve deliverables or ways of working.
  • Use AI and other tools to build and test a practical improvement.
  • Share the work developed, lessons learned, and recommendations at the end of the internship.
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