Associate Data Scientist

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.

• 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.