Customer Experience Data Science/ML Internship job opportunity at Hewlett Packard Enterprise.

Home Jobs In Mexico Tag: Job Customer Experience Data Science/ML Internship position at Hewlett Packard Enterprise


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Hewlett Packard Enterprise Customer Experience Data Science/ML Internship
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loacation Tlaquepaque, Jalisco, Mexico, Mexico
loacation Tlaquepaque, J..........Mexico

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: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #mexico #interns 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 . In accordance with applicable Mexican laws and our commitment to non-discrimination, HPE strictly prohibits requiring medical certificates related to pregnancy status or HIV as conditions for employment, continued service, or promotion. 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.

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