Data Scientist

Job Description

As a Data Scientist at UL Solutions, you will apply advanced analytics, data modeling, and machine learning techniques to support strategic and operational decisions.

• Collaborate with business stakeholders to gather, analyze, and document requirements, translating needs into BRDs, user stories, and functional specifications.
• Analyze large, complex datasets using statistical and analytical techniques to identify trends, patterns, and actionable insights.
• Build and maintain dashboards, reports, and data visualizations using Power BI, Tableau, or similar tools.
• Apply statistical methods and basic machine learning models to support forecasting, prediction, and business decision‑making.
• Perform ad‑hoc and recurring analyses to support both operational reporting and strategic initiatives.
• Process, cleanse, validate, and maintain data accuracy and integrity across analytical datasets.
• Enhance data collection processes and integrate third‑party data sources to improve analytical coverage and model performance.
• Communicate analytical findings and recommendations clearly to both technical and non‑technical audiences.
• Partner with development teams using Azure Dev Ops to manage work items, track progress, and ensure timely delivery.
• Support data science and analytics initiatives using SQL, Python, R, and Excel.
• Collaborate with data engineering teams to support analytics pipelines and data lake initiatives.

• Master’s degree in Data Science, Data Analytics, Computer Science, or related field
• 3–5 years of experience in data analytics or data science roles
• Strong proficiency in SQL, Python, and R
• Experience with Power BI, Tableau, or similar visualization tools, including data modeling and DAX
• Strong analytical and problem‑solving skills with attention to detail
• Experience gathering and documenting business requirements
• Familiarity with Agile methodologies and Azure Dev Ops
• Excellent communication, interpersonal, and stakeholder management skills
• Understanding of statistical methods and probability theory

• Experience with machine learning frameworks such as scikit‑learn, Tensor Flow, or Keras
• Experience with Salesforce data and reporting
• Experience in business services or manufacturing industries
• Familiarity with NLP or deep learning techniques

UL Solutions has been pioneering change since 1894 and we’re still leading the way. From day one, we’ve blazed a trail protecting the planet and everyone on it. Our teams have influenced billions of products, services, software offerings and more. We break things, burn things and blow things up. All in the name of safety science.

That’s where you come in — because none of it could happen without you. It takes passion to protect people, problem‑solving to safeguard personal data and conviction to make the world a more sustainable place. It takes bold ideas and brilliant minds to build a better world for future generations across the globe.

This is more than a job. It’s a calling. A passion to use our expertise and play our part in creating a safer, sustainable world today — and tomorrow. As a member of our safety science community, you’ll use your ideas, your energy and your ambition to innovate, challenge and ultimately, help create a safer world.

Everyone here is unique. But we’re also a global community, working together to help create a safer world. Join UL Solutions and you can connect with the brightest minds in the business, all bringing their distinct perspectives and diverse backgrounds together to deliver real change.

Empowering our customers to keep the world safe means thinking ahead. It means investing in training and empowering our people to learn and innovate. At UL Solutions, we help build a better future — one where everyone benefits.

Join UL Solutions to be at the center of safety. To learn more about us and the work we do, visit

Salary: $80,000 to $100,000 annually, with target bonus of 10% of base salary. Benefits include medical, dental, vision, mental and financial wellness, 401K, paid time off (15 days vacation, 12 floating holidays, 72 hours sick time).

Seniority Level: Mid‑Senior level

Employment Type:

Full‑time

Accepting applications until 1/15/2026.