Associate Data Scientist

UL Solutions • Northbrook, IL

6d • $65,000 - $78,000

About The Position

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in developing predictive models, data-driven and AI solutions for laboratory, field engineering, and accreditation & compliance operations. The role covers the full innovation lifecycle - from ideation and prototyping to implementation and validation - combining hands-on data science with basic data engineering. This is a collaborative, applied role working at the intersection of operations, principal engineering, and global technology and other partners.
A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers’ product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers’ products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.

Requirements

• Associate Data Scientist supports the Operations Data Science & AI team
• developing predictive models, data-driven and AI solutions for laboratory, field engineering, and accreditation & compliance operations
• full innovation lifecycle - from ideation and prototyping to implementation and validation
• combining hands-on data science with basic data engineering
• collaborative, applied role working at the intersection of operations, principal engineering, and global technology and other partners
• Develop and apply machine learning and AI methods
• predict test outcomes, automate decision-making, and extract insights from complex operational data
• Work with diverse operational data sources including laboratory information systems, legacy databases, sensor data, and structured/unstructured documents
• Collaborate with operations, principal engineering, and technology partners
• Support the full innovation lifecycle from ideation and feasibility assessment through prototyping, implementation, validation, and production deployment
• Evaluate and apply emerging AI techniques -- including large language models, retrieval-augmented generation, and computer vision
• Combine scientific methods with business process understanding
• Perform basic data engineering tasks including data extraction, transformation, and pipeline maintenance
• Support innovation management activities by helping develop blueprints and frameworks to systematically identify, evaluate, classify, and prioritize AI and predictive modeling opportunities

Responsibilities

• Develop and apply machine learning and AI methods to predict test outcomes, automate decision-making, and extract insights from complex operational data across UL Solutions laboratories, field engineering, and compliance operations.
• Work with diverse operational data sources including laboratory information systems, legacy databases, sensor data, and structured/unstructured documents.
• Collaborate with operations, principal engineering, and technology partners to identify AI opportunities and translate business problems into working solutions.
• Support the full innovation lifecycle from ideation and feasibility assessment through prototyping, implementation, validation, and production deployment.
• Evaluate and apply emerging AI techniques -- including large language models, retrieval-augmented generation, and computer vision -- where they add value to operational workflows.
• Combine scientific methods with business process understanding to ensure solutions are technically sound, operationally relevant, and properly validated.
• Perform basic data engineering tasks including data extraction, transformation, and pipeline maintenance to ensure reliable data availability for AI and analytics.
• Support innovation management activities by helping develop blueprints and frameworks to systematically identify, evaluate, classify, and prioritize AI and predictive modeling opportunities - contributing to the team's innovation portfolio from early ideation through feasibility validation and implementation readiness.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed