About the role#
As an Operations Data Science intern, you will build models, optimizers, and AI tools that impact how a national moving and storage operation runs. You will report to the Director of Operations Data Science and AI and work alongside senior data scientists. You will join one of two tracks: Data Science and Research, which focuses on statistical modeling and optimization, or AI Tool Building, which focuses on agents that automate workflows. You will own one or two focus projects with real deliverables and present your results to stakeholders.
What you'll do#
- Own a focus project, such as building a predictive model for demand or capacity, solving a routing or scheduling optimization, or creating an AI agent to automate manual workflows.
- Prepare and validate operational data, engineer features, and run experiments with senior data scientists.
- Create AI-powered tools, reproducible pipelines, and automated reporting to replace manual work.
- Maintain and monitor production optimizers and models, bringing improvement ideas supported by analysis.
- Work with IT to integrate solutions into platforms used by operational staff.
- Maintain data models in Snowflake and build dashboards or decision-support tools.
- Use AI tools like Claude, Cursor, or Copilot for analysis and code, verifying every output before it ships.
What you'll need#
- Currently in the final years of a bachelor's degree or enrolled in a master's program.
- Majoring in Data Science, Statistics, Computer Science, Mathematics, Industrial Engineering, Economics, or Operations Management.
- Working knowledge of SQL and Python, including libraries like pandas, scikit-learn, or statsmodels.
- Hands-on experience using AI coding tools with the judgment to verify outputs.
- Ability to communicate model outputs through visualizations and tools like Tableau or Power BI.
- Comfort turning loosely defined operational problems into clear analytical questions and practical solutions.
- Experience taking ownership of a deliverable from draft to finished product.
- Coursework or project experience in statistical or machine learning models, such as regression or anomaly detection.
- For the AI track, hands-on experience building tools or agents with LLMs and their APIs.
- Exposure to optimization methods like linear or mixed-integer programming is a plus.
- Familiarity with Snowflake, Airflow, APIs, containers, or PySpark is a plus.
Location & details#
- This is a full-time, paid, on-site internship located in Clearwater, Florida.
- The term is for Summer 2027.
- You must be able to use a computer for up to 8 hours a day, stand and walk up to 8 hours a day, and lift up to 50 lbs.
- You may be subject to a pre-employment background check and drug screening.
About PODS
PODS operates in the moving and storage industry. The company provides portable storage containers for residential and commercial clients. It manages logistics for relocation and construction projects. Founded in 1998, the business maintains its headquarters in Clearwater, Florida. It employs over 1,400 people.
How to get in at PODS
Applying early to PODS gives you a distinct advantage because recruiters review the first wave of candidates before the volume becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, helping you secure a spot at the front of the line. You should aim to be among the first to submit your materials. Building a connection with the people hiring for these roles often yields better results than submitting to an automated queue. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the position or a referral. This approach improves your response rates compared to standard cold applications.
