INTERNSHIP DETAILS

Data Science & Engineering Intern

CompanyUL Standards & Engagement
LocationEvanston
Work ModeOn Site
PostedMarch 4, 2026
Internship Information
Core Responsibilities
The intern will assist with standards and engagement projects, potentially applying Natural Language Processing (NLP) for document review, data collection, and analysis, while exploring automation for technical workflows and analyzing unstructured data for safety insights. Responsibilities also include collecting and organizing data using scientific methods, analyzing data for trends, and supporting the creation of reports and presentations.
Internship Type
full time
Company Size
246
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
UL Standards & Engagement translates scientific discoveries into standards and policies that have the power to make a systemic impact on public safety throughout the world. Distinguished by our independent research and informed foresight, we've been driving cutting-edge science into practical standards since 1903. Our extensive library of standards helps to make everyday things safer, more secure, and more sustainable, from life jackets to batteries to autonomous cars. It’s a mission we pursue across the globe. We partner with leading minds and national standards bodies around the world to draw upon an ever-growing body of scientific knowledge from UL Research Institutes and global experts. Together, we're creating a dynamic road map to a safer future. Get involved at ULSE.org
About the Role

Job Description

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: 

  • 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)

What makes you a great fit: 

While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes: 

  • 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.

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, NumPy) 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 through the discovery and application of scientific knowledge. We conduct rigorous independent research and 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. We foster communities of safety, from grassroots initiatives for neighborhoods to summits of world leaders. Our organization employs collaborative and scientific approaches with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability, ultimately enhancing societal well-being.  

Our affiliate, UL Solutions, stands alongside us in working for a safer and more sustainable world.  UL Solutions conducts testing, verification and certification, and provides training and advisory services, along with data-driven reporting and decision-making tools, for customers around the world. 

 

To learn more, visit our websites UL.org and ULSE.org.  

 

Salary Range:

Pay type:

Hourly
Key Skills
Natural Language ProcessingData CollectionData AnalysisWorkflow AutomationUnstructured Data AnalysisQualitative MethodsQuantitative MethodsReportingVisualizationCommunicationWritingExcelSPSSRSQLElasticsearch
Categories
Data & AnalyticsScience & ResearchEngineeringEnvironmental & SustainabilitySoftware