Associate Data Scientist

Job Description

The Associate Data Scientist works with business stakeholders and technical teams to transform data into meaningful insights that support operational and strategic decision-making. This role contributes to analytics, reporting, visualization, and data science initiatives while gaining hands‑on experience with modern analytics tools, data platforms, and methodologies. The ideal candidate is analytical, detail-oriented, and eager to develop their skills in a collaborative, data-driven environment.

• Collect, clean, validate, and maintain data to ensure accuracy, quality, and reliability for reporting and analysis.
• Perform ad-hoc and recurring analyses to identify trends, patterns, and business insights.
• Prepare datasets and assist in exploratory data analysis to support business and operational initiatives.
• Develop and maintain dashboards, reports, and visualizations using Power BI, Excel, or similar tools.
• Support the development, testing, validation, and monitoring of predictive and statistical models under the guidance of senior team members.
• Apply basic statistical techniques to analyze data and support business decision-making.
• Assist in integrating and preparing data from multiple internal and external data sources.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Document business requirements, user stories, and analytical processes.
• Communicate analytical findings and recommendations to both technical and non-technical audiences.
• Support data quality initiatives and help identify opportunities to improve data collection processes.
• Partner with data engineering and development teams to support analytics and reporting initiatives.
• Use SQL, Python, Excel, and other analytical tools to support data analysis and reporting activities.
• Participate in Agile ceremonies and use Azure Dev Ops to track work items and project progress.
• Adhere to the Underwriters Laboratories Code of Conduct and follow all security, data governance, and compliance requirements.

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Engineering, or a related field
• 0-2 years of experience in data analytics, business analytics, or data science roles
• Experience through internships, academic projects, or professional work involving data analysis and reporting
• Working knowledge of SQL and Python
• Experience with Power BI, Excel, or similar data visualization tools
• Understanding of basic statistical concepts and data analysis techniques
• Strong analytical, problem-solving, and critical-thinking skills
• Strong attention to detail and commitment to data quality
• Ability to communicate findings clearly to technical and non-technical audiences
• Experience gathering, documenting, and interpreting business requirements
• Familiarity with Agile methodologies and tools such as Azure Dev Ops or Jira
• Ability to work collaboratively with cross-functional business and technical teams

• Experience working with cloud-based data platforms such as Azure, Snowflake, etc.
• Familiarity with software development lifecycle (SDLC) concepts and version control tools
• Exposure to AI-assisted analytics, generative AI, or emerging data science technologies
• Experience working with enterprise data environments and data governance practices

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, plus 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…