(USA) Summer 2027 Corporate Intern: Last Mile Delivery Data Science Intern

Walmart•Bentonville, AR

4d•$21 - $40

About The Position

As a Data Science Intern on Walmart’s Last Mile team, you will work on data-driven problems that directly impact the 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 to improve Last Mile operations. The role offers hands-on experience applying data science, analytics, simulation, optimization, and AI to real-world business problems at scale. The team applies data analytics and advanced modeling to optimize Last Mile operations. Working with data scientists, engineers, and business partners, the team develops solutions to enhance operational efficiency and customer experience. Its work includes analyzing large datasets, developing simulation and machine learning models, and building dashboards to support data-driven decisions. The team emphasizes continuous learning, innovation, clear communication, integrity, accountability, and collaboration.

Requirements

Demonstrated commitment to fostering respectful and collaborative team environments that support associate engagement and development.
Strong interpersonal and communication skills, with the ability to build trusting relationships and work effectively across varied audiences.
High ethical standards and integrity, consistently modeling company values and promoting compliance with policies and legal requirements.
An analytical mindset and the ability to incorporate data and insights into decision-making and continuous improvement efforts.
Adaptability and resilience, embracing new tools and approaches to drive innovation and operational excellence.
Customer-focused orientation and commitment to delivering value and supporting business objectives.

Responsibilities

Analyze large datasets to identify trends, opportunities, and operational gaps across Last Mile.
Develop and apply simulation and optimization models to identify opportunities to improve Last Mile operational efficiency.
Perform exploratory analysis and root-cause analysis on key operational performance metrics.
Develop dashboards, metrics, and analytical solutions to support data-driven decision-making.
Build and evaluate statistical or machine learning models to solve complex business problems.
Partner with Data Scientists, Engineers, and business teams to translate business problems into analytical solutions.
Contribute to automation and AI-driven solutions that improve operational efficiency and customer experience.
Communicate analytical findings, insights, and recommendations clearly to technical and non-technical stakeholders.