APPLY HERE:

https://careers.hpe.com/us/en/job/HPE1US1195326EXTERNALENUS/Customer-Experience-Data-Science-ML-Internship

Description
Customer Experience Data Science/ML 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 degree in: in Industrial Engineering, Management Information Systems, Data Analytics, 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.

PLEASE NOTE THIS ROLE IS FOR AN INTERNSHIP , YOU SHOULD BE CURRENTLY STUDYING and for at least the next 12 months IS MANDATORY TO BE LOCATED IN GUADALAJARA

Management Level Definition:

Job Summary
The intern will work with the Customer Experience & Analytics team to leverage machine learning, natural language processing (NLP), and statistical modeling to analyze customer interactions, identify pain points, and optimize support processes. The goal is to develop AI-driven insights that improve the customer journey from onboarding to retention.

Key Responsibilities

Model Development: Build, test, and tune machine learning models (e.g., propensity models, classification, clustering, recommendation engines) to identify trends, opportunities, and risks in customer behavior.
NLP & Generative AI: Utilize LLMs and NLP to analyze text-based customer data (chat logs, emails, surveys) for sentiment analysis and to develop AI agents that improve workflow productivity.
Data Preparation & Engineering: Extract, clean, and pre-process raw, structured, and unstructured data from multiple sources (SQL databases, CRM platforms like Salesforce, logs).
Customer Insights & Visualization: Perform exploratory data analysis (EDA) to understand customer journeys and create actionable dashboards and reports (Tableau, Power BI, Excel) to present findings to stakeholders.
Proactive Support: Develop predictive models to identify potential customer churn or service disruptions before they occur.
Requirements & Qualifications:

Education: Pursuing a bachelor’s degree in Industrial Engineering, Management Information Systems, Data Analytics, Computer Science.
Technical Skills: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL.
ML Knowledge: Familiarity with supervised/unsupervised learning techniques and statistical modeling.
Tools: Experience with data visualization tools (Tableau, Power BI) and Cloud Platforms (AWS/GCP/Azure) is a plus.
Soft Skills: Accountability, Proactivity, Strong analytical problem-solving skills, ability to translate data into "stories" for non-technical stakeholders, and a passion for improving customer experience.
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:

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