AI/Data Science Intern
About The Position
The AI/Data Science Intern will identify and develop practical ways to leverage Boston Scientific’s existing AI platforms and organizational Ontology. The internship focuses on applied AI innovation: understanding business problems, identifying high-value use cases, experimenting with existing AI capabilities, and developing proofs of concept. The intern will work with stakeholders to take ideas from initial 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 12-week internship, the intern is expected to have documented a portfolio of potential AI use cases, demonstrated one or more working concepts or prototypes using existing AI platforms, and provided recommendations for opportunities that merit further development. This is an onsite role at Boston Scientific’s Maple Grove, Minnesota corporate location, with employees required to be in the local office at least five days per week. Relocation and housing assistance may be available to eligible candidates. The position does not offer employment visa sponsorship.
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.
- Must have reliable transportation to and from Boston Scientific’s Maple Grove, Minnesota corporate location.
Responsibilities
- Learn the organization’s existing digital and AI capabilities and support existing AI-enabled use cases, including scaling them across the manufacturing site.
- Partner with business and technical stakeholders to understand processes, challenges, and opportunities where data analytics and AI could improve efficiency, access to information, decision-making, or user experience.
- Translate business needs and user requirements into defined data analytics solutions 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 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.
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What This Job Offers
Career Level
Intern
