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

Walmart•Bentonville, AR

About The Position

As a Data Science Intern on Walmart’s Last Mile team, you will work on data-driven problems that directly affect 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 internship 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. In collaboration with data scientists, engineers, and business partners, it develops solutions to enhance operational efficiency and customer experience. Team members analyze large datasets, develop simulation and machine learning models, and build dashboards that support data-driven decisions. The environment emphasizes continuous learning, innovation, clear communication, integrity, accountability, and collaboration. The position is located at 2608 SE J St, Bentonville, Arkansas. The hourly wage range is $21.00–$40.00, with the actual rate meeting or exceeding the applicable minimum wage for the job location. Walmart maintains a drug-free workplace and a no-tolerance policy regarding illegal drugs and alcohol on the job.

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.
Analytical mindset with 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 with a 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.