Data Scientist

About the role

This role partners closely with business stakeholders, data engineering, and development teams to analyze complex datasets, build visualizations, and develop predictive models. The ideal candidate combines strong analytical skills with business acumen and effective communication in an Agile environment.

Responsibilities

• Process, cleanse, and verify the integrity, quality, and reliability of data used for analysis, reporting, and predictive modeling.
• Perform ad-hoc and recurring analyses, presenting results and insights in a clear, concise manner to support business decision-making.
• Analyze large, complex datasets to extract meaningful insights, selecting appropriate statistical, analytical, and machine learning techniques based on the problem context.
• Select relevant features and build, evaluate, and optimize classification and predictive models using machine learning techniques.
• Apply data mining and advanced analytical methods to identify trends, patterns, and relationships within structured and unstructured data.
• Extend and enrich customer and business datasets using third-party data sources when required to improve analytical outcomes.
• Enhance data collection and preparation procedures to ensure relevant, high-quality inputs for analytic and machine learning systems.
• Use data modeling and evaluation strategies to identify patterns and accurately predict unseen or future instances.
• Collaborate with business and technical stakeholders to align analytical solutions with business objectives.
• Adhere to the Underwriters Laboratories Code of Conduct and follow all physical and digital security, data governance, and compliance practices.
• Gather, analyze, and document requirements, translating needs into BRDs, user stories, and functional specifications.
• 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.
• 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 DevOps 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.

Requirements

• 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 DevOps.
• Excellent communication, interpersonal, and stakeholder management skills.
• Understanding of statistical methods and probability theory.

Preferred Qualifications

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

About the company

UL Solutions has been pioneering change since 1894, leading the way in safety science. Our teams influence billions of products, services, software offerings, and more. We conduct rigorous testing—breaking, burning, and stress-testing—in the name of safety science. This role is an opportunity to use your expertise to protect people, safeguard data, and contribute to a more sustainable world. It’s more than a job; it’s a calling to innovate and drive meaningful change.

As part of our global safety science community, you’ll collaborate with diverse, bright minds to deliver real impact. We invest in training and empower our people to learn and innovate, helping build a better future for everyone.

Pay

The estimated salary range for this position is $80,000 to $120,000, based on job-related knowledge, skills, experience, and geographical location. This position is eligible for an annual bonus with a target payout of 10% of the base salary.

Benefits

• Health benefits: medical, dental, and vision.
• Wellness benefits: mental and financial health support.
• Retirement savings: 401K plan (commensurate with local standards).
• Paid time off: 15 days of vacation, 12 days of holiday (including floating holidays), and 72 hours of sick time.