Associate Data Scientist

• 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.

• Collect process cleanse and validate data from diverse operational sources for analysis and modeling.
• Perform exploratory data analysis on large complex datasets to identify patterns and determine appropriate analytical techniques.
• Build train and optimize machine learning models (classification regression clustering time-series) for predictive modeling and other AI use cases.
• Explore and prototype AI-driven solutions beyond classical ML such as NLP document understanding or intelligent automation where applicable.
• Support feature engineering model selection hyperparameter tuning and model evaluation using established scientific and statistical methods.
• Develop and maintain basic ETL workflows and data pipelines to support modeling and reporting needs.
• Document model assumptions limitations validation results and alignment with business processes.
• Present analysis results model performance and recommendations clearly to both technical and non-technical stakeholders.
• Stay current with AI and data science developments and assess their applicability to UL Solutions operations.
• Contribute to the maturation of data science and AI capabilities across laboratory field engineering and compliance operations.

• Minimum of bachelor's degree or equivalent work experience in Data Science Computer Science Statistics Physics Engineering or a related quantitative field.
• Knowledge of machine learning techniques (clustering decision trees random forests neural networks regression) and their practical trade-offs.
• Python coding skills for data manipulation analysis and model development (NumPy Pandas Scikit-learn PyTorch or similar).
• Basic understanding of modern AI concepts including large language models NLP and retrieval-augmented generation.
• Experience querying databases using SQL.
• Familiarity with data visualization tools (e.g. Power BI Matplotlib) to communicate findings.
• Basic understanding of data engineering concepts (ETL pipelines data quality data integration).
• Exposure to cloud platforms (Azure preferred) and version control (Git/GitHub) is a plus.
• Strong analytical and problem-solving skills with a hands-on applied mindset and curiosity for emerging technologies.
• Good communication and presentation skills - able to explain technical methods and results to non-technical audiences.
• Ability to work in a multidisciplinary team and contribute to strategic goals.
• Software engineering skills such as test-driven development CI/CD practices API design or containerization are a plus

How does UL Solutions ensure its pay and bonus plans are competitive?

What We Do

A global leader in applied safety science UL Solutions transforms safety security and sustainability challenges into opportunities for customers in more than 100 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 Certification Marks serve as a recognized symbol of trust in our customers’ products and reflect 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.

Why Work With Us

Science is in our DNA; we are endlessly curious and passionate about seeking and speaking the truth. We take delight in knowing that our work makes a meaningful contribution to society and we are proud that our culture is centered on integrity collaboration inclusion and excellence.

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