AI/Data Science Intern

Boston Scientific•Maple Grove, MN
•$43,368 - $73,736•Onsite

About The Position

The AI/Data Science Intern will identify and develop practical ways to use the organization’s existing AI platforms and Ontology. The internship focuses on applied AI innovation: understanding business problems, identifying high-value use cases, configuring and experimenting with existing AI capabilities, and creating proofs of concept to demonstrate how AI could address business needs. The intern will work with stakeholders to move ideas from problem statements through use-case definition, prototyping, evaluation, and demonstration. Promising concepts may be transitioned to technical teams for further development and implementation. By the end of the internship, the intern is expected to document a portfolio of potential AI use cases, demonstrate one or more working concepts or prototypes using existing AI platforms, and recommend opportunities for further development. This is an onsite role requiring employees to be in the local office at least five days per week. The internship is 12 weeks, with a start date of May 17 or May 24, 2027, at the Boston Scientific corporate location in Maple Grove, Minnesota. Relocation and housing assistance may be available to eligible candidates. The company will not sponsor employment visas for this position.

Requirements

  • Currently enrolled in a bachelor’s or master’s degree program, with an expected graduation date between Fall 2027 and Spring 2029.
  • Pursuing a degree in Data Science or Computer Science.
  • Able to start the internship on May 17 or May 24, 2027, and work for 12 weeks.
  • Eligible to work in the United States without company sponsorship, now or in the future, for employment-based work authorization.
  • Reliable transportation to and from the Boston Scientific corporate location in Maple Grove, Minnesota.

Responsibilities

  • Learn the organization’s existing digital and AI capabilities and support existing AI-enabled use cases, including scaling across the manufacturing site.
  • Partner with business and technical stakeholders to understand current processes, challenges, and opportunities where data analytics and AI can improve efficiency, access to information, decision-making, or user experience.
  • Translate business needs and user requirements into defined data analytics solutions and/or AI use cases, including expected outcomes, data requirements, success criteria, and potential limitations.
  • Document use cases, requirements, workflows, findings, and recommendations to support transition of promising concepts to appropriate technical teams for further development.
  • Communicate findings and demonstrate AI concepts to technical and non-technical audiences.
  • Collaborate with Forward Deploy Engineers, Project Management, manufacturing teams, and business stakeholders.

Benefits

  • Relocation and housing assistance may be available to eligible candidates.
  • Core and optional employee benefits are referenced; details are available at www.bscbenefitsconnect.com.
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