UL Standards & Engagement

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

Listed Jobs

Company Name

UL Standards & Engagement

Job Title

Data Science & Engineering Intern

Job Description

**Job Title** Data Science & Engineering Intern **Role Summary** Provide data‑driven analysis, NLP & automation support for safety standards development. Work with the data science & engineering team to collect, process, and synthesize structured and unstructured data, producing insights and visualizations for internal and external stakeholders. Contribute to project coordination, documentation, and presentations within a 3‑month internship. **Expectations** - Demonstrate strong quantitative and analytical skills. - Communicate findings clearly in written reports and visual formats. - Collaborate across cross‑functional teams while managing independent tasks. - Stay current on safety science research, NLP techniques, and data‑engineering practices. - Deliver accurate, high‑quality work within set deadlines. **Key Responsibilities** - Assist with data extraction, cleaning, and transformation using Python (Pandas, NumPy). - Apply NLP to automate document review, data collection, and trend analysis. - Prototype technical workflows to improve searchability and accessibility of standards libraries. - Analyze qualitative and quantitative data to uncover safety insights and produce dashboards. - Create reports, presentations, and visualizations summarizing findings. - Coordinate standards‑development projects: maintain documentation, track progress, schedule meetings. - Support cross‑department communication and knowledge sharing. **Required Skills** - Proficient in Python for data manipulation; familiarity with Pandas, NumPy. - Experience with data analysis tools (Excel, SPSS, R). - Knowledge of SQL and unstructured data retrieval (e.g., Elasticsearch). - Strong communication and technical writing capabilities. - Detail‑oriented, organized, and able to work independently and in teams. - Quick learner with a proactive approach to new challenges. **Required Education & Certifications** - Current enrollment in a bachelor’s or advanced degree program in Engineering, Data Science, Computer Science, or related field. - No specific certifications required; familiarity with industry safety standards is a plus.

Evanston, United states

Hybrid

Fresher

27-01-2026