At UL, we know why we come to work.

Thousands of us around the world wake up every day with a common purpose: to make the world a safer, more secure and sustainable place. 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. UL stands at the forefront of technological advancement, and we are continually challenged to find new ways to foster innovation and positive change. Satisfying? Yes. Exciting? Absolutely!

As our global footprint continues to spread across the world, we are looking for an Associate Data Scientist to join our team in Chicago, IL or Northbrook, IL.

What you’ll learn & achieve:

• Processing, cleansing, and verifying the integrity of data used for analysis.
• Doing ad-hoc analysis and presenting results in a clear manner.
• Analyze large, complex datasets to extract insights and decide on the appropriate technique.
• Selecting features, building and optimizing classifiers using machine learning techniques.
• Data mining using state-of-the-art methods.
• Use data modelling and evaluation strategy to find patterns and predict unseen instances.
• Read and follow the Underwriters Laboratories Code of Conduct and follow all physical and digital security practices.
• Performs other duties as directed.

What you’ll experience working at UL:

• Mission: For UL, corporate and social responsibility isn’t new.  Making the world a safer, more secure and sustainable place has been our business model for the last 125 years and is deeply engrained in everything we do.
• People: Ask any UL employee what they love most about working here, and you’ll almost always hear, “the people.” Going beyond what is possible is the standard at UL.  We’re able to deliver the best because we employ the best.
• Interesting work: Every day is different for us here as we eagerly anticipate the next innovation that our customers create. We’re inspired to take on the challenge that will transform how people live, work and play. And as a global company, in many roles, you will get international experience working with colleagues around the world.
• Grow & achieve: We learn, work and grow together with targeted development, reward and recognition programs as well as our very own UL University that offers extensive training programs for employees at all stages, including a technical training track for applicable roles.
• Total Rewards: All employees at UL Solutions are eligible for annual bonus compensation.  The target for this position is 5% of the base salary offered. Employees are eligible for health benefits such as medical, dental and vision; wellness benefits such as mental & financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country, for the relevant position level.  We also provide employees with paid time off including vacation (15 days), holiday including floating holidays (12 days) and sick time off (72 hours). 

What makes you a great fit:

• Be completing your final year of your undergraduate degree in: Data Analytics, Data Science, Computer Science or related field.
• Hold a Bachelor’s degree prior to the intended full time start date
• Demonstrated ability to work in a results-oriented, challenging environment
• Strong problem-solving skills with an emphasis on product development. Experience querying databases and using statistical and computer languages.
• Experience using statistical computer languages to manipulate data and draw insights from large data sets.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc..) and their real-world advantages/drawbacks.
• Python coding skills and problem-solving, good analytical & communication skills.
• Ability to articulate an idea with strong communication and presentation skills.
• Work as part of a small team, sharing ideas and contributing to the strategic goals.
• Must have the indefinite right to work in the United States.