Data Science Intern

Role Summary

As a Data Science Intern on the Last Mile team, you will work on data-driven problems that directly affect Walmart's delivery experience and operational performance. You will partner with Data Scientists, Analysts, and business stakeholders to analyze large-scale data, identify opportunities, and develop insights that improve Last Mile operations.

This internship offers hands-on experience applying data science, analytics, simulation, optimization, and AI to real-world business problems at scale.

About the Team

Our team turns data into intelligence and ideas into AI-driven solutions. We focus on building trusted, scalable data foundations that support analytics and decision-making. We rapidly prototype AI-powered solutions to explore emerging opportunities and deliver clear performance insights. By connecting data, intelligence, and action, we help the organization move faster, make better decisions, and unlock new value through advanced analytics and AI. The collaborative environment encourages innovation and drives impact across the company.

What You'll Do

• Analyze large datasets to identify trends, opportunities, and operational gaps across Last Mile.
• Develop and apply simulation and optimization models to improve Last Mile operational efficiency.
• Perform exploratory and root-cause analysis on key operational performance metrics.
• Build and evaluate statistical or machine learning models to solve complex business problems.
• Contribute to automation and AI-driven solutions that improve operational efficiency and customer experience.
• Communicate analytical findings and recommendations clearly to technical and non-technical stakeholders.
• Work with modern data and analytics tools in a large-scale cloud environment.

Preferred Qualifications

• Familiarity with simulation, optimization, operations research, or mathematical modeling.
• Experience with machine learning, predictive modeling, or generative AI.
• Experience building dashboards or analytical visualizations.
• Familiarity with cloud data platforms such as Google Cloud Platform or similar technologies.
• Previous experience with an analytics, data science, or business problem-solving project.