Data Scientist Intern - Supplier Management Analytics & AI

Description -

Before applying please note that, to be eligible for this position, you must be currently enrolled at a university in Spain , remain enrolled until the end of the internship, and be eligible to sign an internship agreement with your university. You must also be available to start the internship in February 2027and continue participating in the program until June–July 2027 .

Job Summary

The Data Scientist Intern - Supplier Management Analytics & AI supports the Global Supplier Management organization by developing analytical solutions, AI-enabled capabilities, and reporting automation that improve supplier governance, performance management, commercial decision-making, and operational efficiency.

The role works closely with the Integral Supplier Management Lead , Vendor Account Managers (VAMs), Operations, Procurement, Finance, and other stakeholders to transform data into actionable insights. The intern will contribute to strategic initiatives involving advanced analytics, business intelligence, forecasting, process automation, and Generative AI.

This position provides hands-on experience at the intersection of Data Science, Artificial Intelligence, Business Analytics, and Supplier Management within a global enterprise environment.

Key Responsibilities

Analytics & Business Intelligence

- Develop and maintain Power BI dashboards and executive reporting solutions.
- Analyze supplier, financial, commercial, and operational data to identify trends and opportunities.
- Build KPI, SLA,



and supplier performance scorecards.
- Support QBRs, governance reviews, and executive presentations with data-driven insights.
- Perform ad hoc analyses to support strategic business decisions.
- Ensure data accuracy, consistency, and reporting quality.

AI & Automation

- Identify opportunities to automate manual processes using AI and Power Platform tools.
- Develop prototypes using Generative AI, Microsoft Copilot, Python, and Machine Learning techniques.
- Support implementation of predictive analytics and forecasting models.
- Automate reporting, data preparation, and governance activities.
- Explore innovative uses of AI to improve supplier management effectiveness and team productivity.

Business & Strategic Support

- Support Vendor Account Managers in supplier performance and commercial analyses.
- Assist with spend analysis, benchmarking, rate competitiveness, and cost optimization initiatives.
- Help prepare business cases, executive summaries, and strategic recommendations.
- Participate in continuous improvement initiatives across the supplier management organization.
- Collaborate with cross-functional teams including Procurement, Finance, Legal, Operations,



and Business Management.

Qualifications

Required

- Currently pursuing a Bachelor's or Master's degree in:
- Data Science
- Computer Science
- Statistics
- Mathematics
- Engineering
- Business Analytics
- Related field

- Knowledge of:

- Python
- SQL
- Microsoft Excel
- Data Visualization principles

- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Ability to work independently in a fast-paced global environment.

Preferred

- Experience with Power BI.
- Experience with Microsoft Power Platform.
- Familiarity with Machine Learning concepts.
- Exposure to Generative AI technologies.
- Knowledge of Azure, Databricks, or cloud analytics platforms.
- Understanding of procurement, supplier management, or business operations processes.

Technical Skills

- Python
- SQL
- Power BI
- Excel
- Data Modeling
- Data Visualization
- Statistical Analysis
- Machine Learning Fundamentals
- Generative AI
- Microsoft Copilot
- Power Automate
- Data Storytelling

Success Measures

- Adoption and business impact of dashboards and analytical solutions.
- Reduction in manual reporting effort through automation.
- Improved visibility of supplier performance and commercial metrics.
- Delivery of actionable insights supporting management decisions.
- Successful implementation of AI-enabled productivity enhancements.
- Positive stakeholder feedback from VAMs and leadership teams.

Why

📌 Data Scientist Intern (España)
🏢 HP
📍 España