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.
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