Data Science Intern, Hewlett Packard Enterprise

Hewlett Packard Enterprise

Location:
United States, Spring

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

35.00 - 46.00 USD / Hour

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Job Description:

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Responsibility:

Participates in the analysis and validation of data sets/solutions/user experience
Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives
May load data into the infrastructure and contributes to the creation of the hypothesis matrix
Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses
Contributes to building models for the overall solution, validates results and performance
Contributes to the selection of the model that supports the overall solution
Supports the research, identification and delivery of data science solutions to problems
Supports visualization of the model's insights, user experience and configuration tools for the analytics model

Requirements:

Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field
Basic knowledge of data science methodologies
Basic understanding of business requirements and data science objectives
Basic data mapping, data transfer and data migration skills
Basic understanding of analytics software (eg. R, SAS, SPSS, Python)
Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend)
Basic communication and presentation skills
Basic data knowledge of relevant data programming languages
Basic knowledge of data visualization techniques

What we offer:

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Additional Information:

Job Posted:
August 19, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Science Intern