Intern, Engineering Ops & Supply AI, Ventus (Hopkins, MN or Boise, ID)

Digi International • Hopkins, MN

22h • Hybrid

About The Position

Ventus is an entity within Digi, a Business Unit that’s an industry leader in IT
networking innovations, leveraging technology to produce market-driving network
solutions. Operating from over 20 years of experience and delivering secure
enterprise class networks, Ventus develops cellular wireless and fixed
line SD-WAN, Hybrid WAN, and Cellular WAN solutions for an expanding array of
business connectivity applications.

This is an opportunity for a data-savvy, AI-literate intern to make an immediate
impact on Digi's supply chain and inventory operations. You will work directly
with the operations team and Product Management team to build AI-powered tools
that transform how we forecast demand, manage inventory, and generate purchase
orders. This is not a "get coffee" internship — you will own real projects with
real business impact from day one.

Requirements

• Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Industrial Engineering, Supply Chain Management, Operations Research, or a related quantitative field.
• Strong Python skills with experience in data analysis libraries (pandas, NumPy, matplotlib/plotly).
• Exposure to or strong interest in machine learning (scikit-learn, TensorFlow, or similar).
• Comfort working with messy, real-world data — you know how to clean, join, and transform datasets.
• Familiarity with SQL and/or ERP systems (NetSuite experience is a plus, not required).
• Demonstrated use of AI tools (ChatGPT, Claude, Copilot, etc.) for coding, analysis, or productivity.
• Self-starter who can work with minimal supervision — you will have guidance and access to stakeholders, but you need to drive your own work.
• Strong communication skills — able to explain technical findings to non-technical stakeholders.

Nice To Haves

• Experience with time-series forecasting (ARIMA, Prophet, LSTM).
• Familiarity with API integrations and data pipeline tools.
• Prior internship or project experience in operations, supply chain, or manufacturing.
• Experience with BI tools (Tableau, Power BI, Looker).

Responsibilities

• Analyze 2+ years of historical order, shipment, and inventory data from NetSuite and internal systems to identify demand patterns, seasonality, and SKU velocity trends.
• Build AI/ML forecasting models (using Python, pandas, scikit-learn, or similar) that predict quarterly and monthly hardware inventory needs across Digi router product families.
• Develop automated tools that pull NetSuite opportunity pipeline data and translate win-probability-weighted pipeline into inventory demand signals.
• Create a reorder recommendation engine that factors in supplier lead times, safety stock thresholds, and forecasted demand to suggest optimal purchase order timing and quantities.
• Build dashboards and reporting tools that give operations and leadership real-time visibility into inventory health, forecast accuracy, and order status.
• Explore and prototype the use of LLMs and AI agents (e.g., Claude, GPT) for natural-language querying of supply chain data, anomaly detection, and automated reporting.
• Document all models, assumptions, and data pipelines so the tools are maintainable after the internship ends.

What This Job Offers

• Career Level: Intern