Data Science & Engineering Intern

UL Standards & EngagementEvanston, NC
Hybrid

About The Position

We have an exciting opportunity for a Data Science & Engineering Intern at UL Standards & Engagement . This is a hybrid opportunity based in Evanston, IL or Raleigh-Durham, NC. Are you passionate about making a positive impact on society by contributing to the advancement of safety standards? UL Standards & Engagement (ULSE) is seeking a motivated and dedicated Data Science & Engineering Intern to join our team for the Summer of 2026. This 3-month internship provides a unique opportunity to gain hands-on experience in a non-profit safety standards environment, contribute to meaningful projects, and develop valuable skills in research and analysis. UL Standards & Engagement : At UL Standards & Engagement (ULSE) , we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have created new safety standards and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking tough questions because we believe a safer world begins with knowledge. Build a safer, more secure, and sustainable future with us. Join us and work with our Standards team s who develop the standards to put that knowledge into practice.

Requirements

  • Excellent communication and writing skills.
  • Proficiency in data analysis software ( e.g. Excel, SPSS, R) tools
  • Detail-oriented with strong organizational skills.
  • Ability to work independently and as part of a team.
  • An eagerness to learn, adapt, and take on new challenges.
  • Currently enrolled in a bachelor's or advanced degree program in a related field ( e.g. engineering, data science, etc.)
  • Strong interest in the non-profit sector and research related to safety, social or environmental issues

Responsibilities

  • Assist with standards and engagement projects related to industry mission and goals. This may involve document review, data collection, data analysis, and synthesizing information from various sources.
  • Help collect and organize data using qualitative and quantitative scientific methods.
  • Analyze data to draw meaningful insights and trends.
  • Support in creating reports, presentations, and visualizations summarizing technical findings.
  • Prepare materials for internal and external presentations.
  • Work closely with the data science & engineering team and other departments to gather information, share safety science insights, and contribute to collaborative standards development projects.
  • Assist in the coordination of standards development projects, organize, and maintain project documentation, including tracking progress and ensuring tasks are completed on time.
  • Stay current with relevant literature, trends, and developments in the field to contribute valuable safety science insights to ongoing projects.
  • Perform administrative duties as needed, including data entry, scheduling, and coordination of meetings
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