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Hewlett Packard Enterprise Logo Hewlett Packard Enterprise · IT - Software Development

Customer Experience Data Science/ML Internship

Mexico, Tlaquepaque · Job Posted February 20, 2026
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Job Description

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.

Job Responsibility

  • Build, test, and tune machine learning models (e.g., propensity models, classification, clustering, recommendation engines) to identify trends, opportunities, and risks in customer behavior
  • 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
  • Extract, clean, and pre-process raw, structured, and unstructured data from multiple sources (SQL databases, CRM platforms like Salesforce, logs)
  • Perform exploratory data analysis (EDA) to understand customer journeys and create actionable dashboards and reports (Tableau, Power BI, Excel) to present findings to stakeholders
  • Develop predictive models to identify potential customer churn or service disruptions before they occur

Requirements

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

Nice to have

Experience with data visualization tools (Tableau, Power BI) and Cloud Platforms (AWS/GCP/Azure) is a plus

What we offer

  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
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