Data Scientist/Systems Engineer Internship

This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office.

Who We Are
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 Description
Job Family Definition:
Students pursuing a Bachelor's Degree in Statistics, Operations Research, Computer Science. Assists in various tasks aligned with their field of study, including research, collaboration on team initiatives and projects, problem-solving, and creative thinking to gain hands-on experience and develop professional skills. Includes internships, research roles, visiting scholar positions, or other program-related opportunities.

Position Summary
We are seeking a
Data Scientist
to join our team and support data-driven insights across our networking equipment portfolio. In this role, you will analyze device telemetry, performance metrics, and network behavior to improve product reliability, operational efficiency, and customer experience. You will collaborate closely with software engineers, network engineers, and product managers to turn raw data into actionable intelligence. The role involves using common data science tools such as
Power BI
and
Python
.

Responsibilities

• Participate in the analysis and validation of data sets, solutions, and user experience.
• Aid in the development, enhancement, and maintenance of client metadata based on analytic objectives.
• Load data into infrastructure and contribute to hypothesis matrix creation. Prepare portions of data for Exploratory Data Analysis (EDA) and hypothesis testing.
• Contribute to building models for overall solutions, validate results and performance, and assist in selecting the best model.
• Support research, identification, and delivery of data science solutions to business problems.
• Assist in visualizing model insights, user experience, and configuration tools for analytics models.

Education And Experience Required

• Bachelor's degree in Statistics, Operations Research, Computer Science.

Knowledge And Skills

• Basic knowledge of data science methodologies and understanding of business requirements.
• Skills in data mapping, transfer, and migration.
• Familiarity with analytics software (e.g., R, SAS, SPSS, Python).
• Basic knowledge of machine learning, data integration, modeling, and ETL tools (e.g., Informatica, Ab Initio, Talend).
• Communication and presentation skills.
• Knowledge of relevant data programming languages.

Optional / Desirable

• Familiarity with networking fundamentals (TCP/IP, routing, switching, wireless networking).
• Experience with data visualization tools (Tableau, Power BI).
• Exposure to big-data technologies or cloud platforms (AWS, Azure).
• Ability to work with structured and semi-structured data (JSON, logs, telemetry).
• Experience working with time-series data.
• Knowledge of anomaly detection or predictive modeling techniques.
• Exposure to DevOps or embedded systems environments.
• Strong analytical thinking and problem-solving skills.

Impact/Scope

• University students actively enrolled in a university/college/institution pursuing a Bachelor's degree in a technical area of study, and who typically works during school breaks and then returns to their university. While this applies to most interns, there may be opportunities for full-time students to work as part-time interns during the school year in some countries.

Additional Skills
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

Let's Stay Connected
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job
Administration

Job Level
N/A

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

No Fees Notice & Recruitment Fraud Disclaimer
It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.
Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors
will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.
The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.