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Early Talent - 2026 - Technology - Data Science Internship

Kohl's

Salary not specified
Aug 27, 2025
Menomonee Falls, WI, US
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Kohl's is looking for IT Interns to contribute to key work that drives business outcomes and deliverables.

Requirements

  • Ability to problem solve and look at logic to justify processes and decisions
  • A passion, aptitude and interest in technology
  • Explore, understand and implement the most recent algorithms and approaches for supervised and unsupervised machine learning
  • Handle multi-terabyte data sets in scale-up and scale-out environments
  • Review and operate enterprise-wide security platforms and investigate events using security management software
  • Work on automating, problem-solving and partnering with other technology groups
  • Develop software in collaboration with Kohl’s engineering team, utilizing cloud native and agile software development techniques

Responsibilities

  • Leverage critical thinking, experimentation and data to identify and capture stakeholder requirements, build use cases and achieve desired business outcomes
  • Understand and contribute to requirement specification documents
  • Research and leverage industry best practices
  • Solve and create data models and algorithms from high volumes of data to be used in enterprise applications
  • Explore, understand and implement the most recent algorithms and approaches for supervised and unsupervised machine learning
  • Enable value to be drawn from raw structured and unstructured data sources by applying complex derivations, transformations and rules
  • Review and operate enterprise-wide security platforms and investigate events using security management software

Other

  • Demonstrate a passion for learning and experimenting with new technologies
  • Participate in brainstorming as part of a balanced team(s)
  • Additional tasks may be assigned
  • Work as part of a balanced team with product management, engineering and design
  • Collaborate with cross-functional teams to identify problem statements that could be better actioned on with data visibility and analytical insights