Hybrid Cost & Asset Optimization Data Science Intern

IBM; Austin (TX); Hybrid; USD 67,000 - 122,000; Full time

Benefits offered by this job

Paid holidays

Employee Stock Purchase Plan

Paid family medical leave

Job summary

IBM in Austin, TX is seeking a Data Science Analyst Intern to collaborate with cross-functional teams and analyze market trends. The role emphasizes learning through exposure to agile practices and design thinking while optimizing processes with automation and AI.

The position targets a high school diploma or GED with a preferred Bachelor's Degree in Data Science/IT/CS/Engineering and involves part-time office presence (three days) in a hybrid setup as part of IBM’s Cost & Asset Optimization

Qualifications

• High School Diploma or GED required.
• Bachelor's Degree preferred.
• Degree in Data Science/IT/CS/Engineering preferred.
• Exposure to agile practices and design thinking; strong written and verbal communication.

Responsibilities

• Collaborate with cross-functional teams (product mgmt, supply chain, procurement, development, engineering, and finance).
• Analyze competitors, market trends, and industry standards.
• Optimize and improve processes through automation and AI tools.

Skills

Agile practices

Design thinking

Communication skills

Problem solving

Business analysis

Education

High School Diploma/GED

Bachelor's Degree

Bachelor's Degree in Data Science/IT/Engineering

Job description

IBM in Austin, TX is seeking a Data Science Analyst Intern to collaborate with cross-functional teams and analyze market trends. The role emphasizes learning through exposure to agile practices and design thinking while optimizing processes with automation and AI.

The position targets a high school diploma or GED with a preferred Bachelor's Degree in Data Science/IT/CS/Engineering and involves part-time office presence (three days) in a hybrid setup as part of IBM’s Cost & Asset Optimization