Data Science Intern: Hybrid, Hands-on & Growth

Hewlett Packard Enterprise Company

United States

Hybrid

USD 17,000 - 23,000

Full time

4 days ago
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Job summary

Hewlett Packard Enterprise is seeking a Data Science intern for a hybrid role requiring about 2 days per week in an HPE office. You will assist with data analysis, experimentation, and supporting senior data scientists.

The program emphasizes practical hands-on experience, learning new tools, and collaboration across teams while you pursue a degree in a technical field. This internship offers mentorship, exposure to real-world projects, and opportunities to contribute to predictive models and

Qualifications

  • Currently pursuing a Bachelor's degree in a technical field.
  • Familiarity with programming languages or technical tools relevant to the role.

Responsibilities

  • Support senior team members on assigned technical projects as determined by the business unit.
  • Help identify and troubleshoot technical issues, providing support and suggesting solutions.
  • Assist with maintaining and updating hardware, software, and other technical systems.
  • Participate in team activities by attending team meetings, learn about project methodologies, and collaborate effectively with colleagues.
  • Actively engage in learning about new technologies and methodologies relevant to work.
  • Fulfill tasks and responsibilities assigned by a supervisor in a timely and efficient manner.
  • Participate in periodic reviews to share updates and incorporate feedback on assigned projects/initiatives.

Skills

Python
Java
C++
Data analysis
Communication
Problem solving
Time management
English advanced

Education

Bachelor's degree in Engineering or Computer Science

Tools

Jira

Job description

Hewlett Packard Enterprise is seeking a Data Science intern for a hybrid role requiring about 2 days per week in an HPE office. You will assist with data analysis, experimentation, and supporting senior data scientists.

The program emphasizes practical hands-on experience, learning new tools, and collaboration across teams while you pursue a degree in a technical field. This internship offers mentorship, exposure to real-world projects, and opportunities to contribute to predictive models and

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