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Data Scientist Intern

IBMPoughkeepsie, NYPosted 1 month ago

Pay
Not listed
The posting doesn't say
Type
Internship
Full time
Where
Poughkeepsie, NY
Who
Bachelor's or Master's
Students
Apply by
Nov 28, 2026
Date from the posting

About the Role

At IBM, work is more than a job, it's a calling. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? The IBM Cost Optimization team is seeking a talented individual to help manage opportunities partnering across finance, supply chain, product management, development, and engineering.

Do you have a passion for collaborating across organizations and finding innovative ways to improve processes? If so, please read on. You will join a passionate team of high-skilled experts who are fun-spirited, collaborative, and highly ingenious in finding win/win opportunities for the business.

What You'll Do

  • Work collaboratively with a diverse group of experts across various disciplines to drive process improvements among Systems.
  • Work with stakeholders and others in a multidisciplinary team to explore innovative opportunities that optimize cost.
  • Leverage AI tools, financial analysis, and data science to develop business cases, including competitive benchmarking, to support cost optimization and process improvements.

Qualifications

Pursuing a Bachelor's or Master's Degree in Data Science, Cost and Product Engineering, or a related field.

  • Prior (project or internship) exposure to cost-related roles and projects that involve cross-team collaboration.
  • Exposure to supply chain, development, product management, manufacturing, or finance.
  • Strong verbal and written communication skills.
  • Passion for technology and engineering.
  • Growth-minded, trusted, team-focused, courageous, resourceful, and outcome-focused.

Direct experience in Cost Engineering, particularly with hardware offerings, is a plus. Experience and familiarity with programming and scripting tools is preferred.

Skills mentioned

  • SQL
  • Python
  • R
  • Data Science
  • AI Tools
  • Scripting
  • Financial Analysis
  • Cost Engineering

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