Hiring.Camp

Summer 2027 Corporate Intern: Last Mile Delivery Data Science Intern

Walmart

·

Yesterday

Salary
$21 – $40/hr
Location
(USA) Together Building AR Bentonville Home Office, United States of America
Type
Internship
Department
IT
Seniority
Internship
Source
Workday

Description

Position Summary...

What you'll do...

Role summary:
As a Data Science Intern on the Last Mile team, you will work on data-driven problems that directly impact 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 help improve Last Mile operations.    This is an opportunity to gain hands-on experience applying data science, analytics, simulation, optimization, and AI to real-world business problems at scale. 
About the team:
Our team transforms data into intelligence and ideas into AI-driven solutions, focusing 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 that enable faster, well-informed decisions. By connecting data, intelligence, and action, we empower the organization to accelerate progress, enhance decision quality, and unlock new value through advanced analytics and AI technologies. This collaborative environment fosters innovation and drives impactful outcomes 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 identify opportunities to improve Last Mile operational efficiency. 
  • Perform exploratory analysis 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. 

What you'll bring:
Basic Qualifications 
  • Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field. 
  • Strong analytical and problem-solving skills. 
  • Experience working with large datasets using SQL and Python. 
  • Familiarity with statistics, machine learning, optimization, or data visualization. 
  • Strong communication  
  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. 
At Walmart, we offer competitive pay and other great benefits for a happier mind, body, and wallet!
For information about benefits and eligibility, see One.Walmart.
The hourly wage range for this position is $21.00 - $40.00* *The actual hourly rate will equal or exceed the required minimum wage applicable to the job location.

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...

802 Respect Dr, Bentonville, AR 72716, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Skills

PythonSQLMachine LearningData Science

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