Data Science & Engineering Intern

UL Standards & Engagement•Evanston, IL

3d•Hybrid

About The Position

We have an exciting opportunity for a Data Science & Engineering Summer 2026 Intern at UL Standards & Engagement. This is a hybrid opportunity based in our Evanston, IL office. 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 Standards and Engagement Intern to join our team for the Summer 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 teams who develop the standards required to put that knowledge into practice. What you’ll learn and achieve: As the Data Science & Engineering Intern you will play a key role in the rapid growth of UL as you:

Requirements

Excellent communication and writing skills.
Proficiency in data analysis software (e.g. Excel, SPSS, R) tools.
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.
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, NumPy) is preferred.
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 our mission and goals. This may involve applying Natural Language Processing (NLP) to automate document review, data collection, and data analysis, as well as synthesizing information from various sources.
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)