Consulting Intern: Strategy, Data & Cloud Impact

International Business Machines Corporation

United States

On-site

USD 30,000 - 48,000

Full time

2 days ago
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Job summary

IBM is offering a Research Triangle Park/Durham-based Consulting Internship in the United States. The 10-week program runs from May to July 2027, exposing you to AI, data science, cloud technologies, and enterprise transformation.

You’ll learn through client projects, mentorship, and hands-on collaboration with IBMers across multiple practice areas. Ideal candidates are pursuing a university degree in CS, MIS/IT, Data Science, or related fields, with strong communication, teamwork, and an agile

Qualifications

  • Pursuing a university degree with a track-record of academic success.
  • Preferred majors: Computer Science, MIS/IT, Computer Engineering, Data Science, SW Engineering, or related fields.
  • Strong interpersonal and communication skills essential for client-facing consulting.
  • Willingness to travel as needed.

Responsibilities

  • Gain hands-on experience across client projects in consulting, AI, data science, and transformation.
  • Shadow product teams and participate in cloud migration and data integrations.
  • Support workshops, meetings, and interviews to document requirements.
  • Develop data-driven recommendations and contribute to analytics assessments.

Skills

AI tools
Data Analytics
Interpersonal Skills
Leadership
Programming
Active listening
Agile
Collaboration
Relationship Building
Strategy
Travel readiness
Initiative
Readiness
Computer Science
Computer Engineering
Data Science
Engineering

Education

Pursuing a university degree (CS/MIS/IT)

Tools

Cloud technologies
AI tools

Job description

IBM is offering a Research Triangle Park/Durham-based Consulting Internship in the United States. The 10-week program runs from May to July 2027, exposing you to AI, data science, cloud technologies, and enterprise transformation.

You’ll learn through client projects, mentorship, and hands-on collaboration with IBMers across multiple practice areas. Ideal candidates are pursuing a university degree in CS, MIS/IT, Data Science, or related fields, with strong communication, teamwork, and an agile

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