- 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)
- 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.
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Data Science - Evanston - ULSE
Description
Job Description
We have an exciting opportunity for a Data Science & Engineering Summer 2026 Intern atUL 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:
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:
Professional education and experience requirements for the role include:
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 and
Salary Range:
Pay type:
Hourly-
Data Science
Only for registered members Evanston, IL
-
Data Science
Internship Only for registered members Evanston
-
Data Science
Only for registered members Evanston, IL
-
Postdoctoral Fellow-Imaging Data Science
Only for registered members Evanston
-
Postdoctoral Fellow-Imaging Data Science
Full time Only for registered members Evanston
-
Data Science
Only for registered members Chicago
-
Data Science
Full time Only for registered members Chicago
-
Data Science
Only for registered members Chicago
-
Postdoctoral Fellow-Imaging Data Science
Only for registered members Evanston, IL
-
Adjunct Lecturer in Machine Learning and Data Science
Only for registered members Evanston
-
Intern - Data Science
Only for registered members Des Plaines, Illinois, , United States
-
Intern - Data Science
Only for registered members Maine
-
Head of Applied Science and Data Science
Only for registered members Chicago
-
Director, Data Science
Only for registered members Chicago, IL
-
Director, Data Science
Only for registered members Chicago, IL
-
Engineer: Data Science
Only for registered members Chicago, IL
-
Associate, Data Science
Only for registered members Chicago, IL
-
Data Science Engineer
Only for registered members Chicago
-
Manager, Data Science
Only for registered members Chicago
-
Intern - Data Science
Only for registered members Des Plaines, IL
-
Director, Data Science
Full time Only for registered members Chicago