Data Scientist/Data Engineer Intern - Masters

  

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 Master’s degree in 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.

Hewlett Packard Enterprise is seeking a motivated Software Engineering Intern to join our Networking team. This role is ideal for students who enjoy Python development, data structures & algorithms, and AI-driven automation. You’ll work with senior engineers on real-world problems involving Kubernetes, Linux systems, automation, and AIOps, gaining hands-on experience in production environments and AI-assisted operations at scale.

Responsibilities

Build and maintain Python tools and automation to support system operations and workflows.

Design and implement solutions using data structures and algorithms to solve engineering challenges.

Contribute to AIOps initiatives, including applying AI/ML techniques for monitoring, alerting, and root cause analysis, and automating operational tasks.

Work in Linux server environments: scripting, debugging, system-level automation, and interpreting logs, processes, and performance metrics.

Collaborate with engineers to improve system reliability, efficiency, and scalability.

Learn and adopt modern AI tools, frameworks, and best practices to improve automation and operations.

Education & Experience required:

Currently pursuing a Master’s degree in Computer Science.

Knowledge & Skills:

Strong Python programming skills.

Solid understanding of data structures and algorithms and ability to solve coding problems independently.

Good grasp of Linux fundamentals (processes, filesystems, basic networking).

Comfortable working in Linux server-based environments and adapting to practical operational needs.

Desirable

Exposure to AI / machine learning concepts.

Interest or some experience in AIOps, DevOps, or SRE practices.

Familiarity with automation, scripting, or monitoring tools and observability stacks.

Experience with Git and collaborative development workflows.

Curiosity, strong problem-solving mindset, and eagerness to learn.

Additional Skills:

Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 more}

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.

#puertorico#interns

Job:

Engineering

Job Level:

TCP_01

    

    

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.