Associate Data Scientist

About the role

This role is hybrid, requiring 3 days a week on-site at the Northbrook, IL office. The Associate Data Scientist, under direct supervision, supports the analysis, development, modification, testing, and maintenance of data science software. Supports business leadership and senior development professionals in software analysis and performs problem resolutions.

Responsibilities

• Develop and support AI-enabled solutions that improve productivity across Commercial Operations.
• Build automation workflows, reusable analytics assets, and self-service insight solutions that reduce manual effort.
• Assist in the development of AI agents, prompt libraries, and intelligent workflows for reporting, planning, pricing, and sales operations use cases.
• Support data preparation, data quality monitoring, and governed analytics foundations.
• Create dashboards, data models, and analytical solutions using Power BI, SQL, Python, and related technologies.
• Partner with other Commercial Operations pillars and IT teams to identify opportunities for automation and scalable insight delivery.
• Contribute to experimentation, prototyping, and adoption of emerging AI capabilities aligned with Commercial Operations priorities.
• Document solutions and promote knowledge transfer to ensure sustainable support and governance.
• Process, cleanse, and verify the integrity of data used for analysis.
• Perform ad-hoc analysis and present results in a clear manner.
• Analyze large, complex datasets to extract insights and decide on the appropriate technique.
• Select features, build, and optimize classifiers using machine learning techniques.
• Perform data mining using state-of-the-art methods.
• Use data modeling and evaluation strategies to find patterns and predict unseen instances.

Requirements

• Minimum of a bachelor's degree or equivalent work experience in Data Analytics, Data Science, Computer Science, or any other related field of science.
• Strong problem-solving skills with an emphasis on product development.
• Experience querying databases and using statistical and computer languages.
• Experience using statistical computer languages to manipulate data and draw insights from large data sets.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Python coding skills and problem-solving ability, with good analytical and communication skills.
• Ability to articulate ideas with strong communication and presentation skills.
• Work as part of a small team, sharing ideas and contributing to strategic goals.

About the Company

UL Solutions has been pioneering change since 1894, influencing billions of products, services, software offerings, and more. Our teams break things, burn things, and conduct experiments—all in the name of safety science. We empower our customers to keep the world safe by thinking ahead, investing in training, and fostering innovation.

As a member of our safety science community, you’ll collaborate with unique and brilliant minds globally, using your expertise to create a more secure and sustainable world. Join us to connect with the brightest in the business and drive real change.

Benefits

• Health benefits including medical, dental, and vision.
• Wellness benefits such as mental and financial health support.
• Retirement savings (401K) commensurate with local standards.
• Paid time off including 15 days of vacation, 12 personal/holiday days, and 72 hours of sick time.

Pay

The estimated salary range for this position is $62,500 to $75,000 USD, based on job-related knowledge, skills, experience, and geographical location. This position is eligible for an annual bonus with a target payout of 5% of the base salary.