Job description

Job Description

  • The Data Scientist will be working with the product, engineering, and ML Ops teams to develop innovative solutions for retail and our Testing, Inspection and Certification, problems using machine learning, NLP, deep learning, and statistical methods
  • Conduct data exploration, analysis, and experiments to establish technical viability of business ideas
  • Collaborate with ML engineers and QA team to productionize the models
  • Research state-of-the-art tools and techniques in data science and help integrate them in our development processes
  • Present all aspects of a data science project to lead technical and non-technical audiences through the goals, methods, and implications of the project
  • Write research papers, presentations, and patents, where applicable.



  • 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 over 125 years and is deeply ingrained 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.


  • University Degree (Equivalent to Bachelor’s degree) in Computer Science, Data Science, statistics, or a related discipline with 4+ years of work experience in data science
  • Experience using machine learning, deep learning, NLP, and advanced statistical methods to solve business problems
  • Solid technical knowledge and experience writing and testing Python code in production
  • Experience with large datasets
  • Knowledge of SQL
  • Strong interpersonal skills with the ability to communicate with technical and non-technical internal and stakeholders
  • Strong sense of ownership and ability to work independently on ambiguous problems
  • Advanced English.

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