Data Science & Engineering Intern

Data Science & Engineering Summer 2026 Intern

Hybrid opportunity based in our Evanston, IL office. Join UL Standards & Engagement (ULSE) for a 3‑month internship to gain hands‑on experience in a non‑profit safety standards environment, contribute to meaningful projects, and develop valuable research and analysis skills.

Location
:
Evanston, IL (Hybrid).

What You’ll Learn And Achieve
:

• Assist with standards and engagement projects related to our mission and goals, applying NLP to automate document review, data collection, and data analysis.
• Explore and prototype applications to automate technical workflows, improve searchability across our standards libraries, and analyze unstructured data for safety insights.
• 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 (depending on role and function).

What Makes You a Great Fit
:

• Excellent communication and writing skills.
• Proficiency in data analysis software (e.g., Excel, SPSS, R).
• Familiarity with structured databases (e.g., SQL) and unstructured databases (e.g., Elasticsearch) for data retrieval and management.
• 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.

Professional Education And Experience Requirements For The Role Include
:

• Currently enrolled in a bachelor's or advanced degree program in a related field (e.g., engineering, data science, etc.).
• Experience using Python for data manipulation and analysis (e.g., Pandas, Num Py) is preferred.
• Strong interest in the non‑profit sector and research related to safety, social or environmental issues.

About UL Research Institutes And UL Standards & Engagement
: UL Research Institutes and UL Standards & Engagement are nonprofit organizations dedicated to advancing safety science research. We conduct rigorous independent research, analyze safety data, convene experts worldwide to address risks, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. To learn more, visit our websites UL.org and ULSE.org.

Salary Range

Pay type:

Hourly