AI & Data Analytics Intern: Predictive Supply Resilience

Motorola Solutions; Chicago (IL); Hybrid; USD 25,000 - 39,000; Full time

Job summary

Motorola Solutions in the Greater Chicago Area is offering an AI & Data Analytics Intern - Supply Resilience. You will integrate internal supply chain metrics with external market data and build predictive ML models to forecast disruptions before they affect operations.

You will use Python or R, and create dashboards with Power BI or Tableau to translate model outputs into actionable insights for supply chain planners, while documenting methodology and results for stakeholders.

Qualifications

• Currently pursuing a Bachelor’s degree in Supply Chain Management, Logistics, Business Analytics, Operations, or a related field.
• Graduation date not later than Dec. 2029

Responsibilities

• Data Integration & Pipeline Development: Identify, aggregate, and ingest internal supply chain metrics with external market data.
• AI/ML Model Development: Design, train, and validate predictive algorithms to flag supply bottlenecks and vendor risks.
• Tool & Interface Creation: Build a functional prototype/dashboard or integrate model outputs into an actionable tool for supply chain planners.
• Market Research & Feature Engineering: Analyze macro-market trends to engineer features that improve model accuracy and early-warning alerts.
• Documentation & Communication: Present model logic, accuracy benchmarks, and insights to stakeholders and operations teams.

Education

Bachelor’s degree in Supply Chain Management, Logistics, Business Analytics, Operations, or a related field

Tools

Python/R

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Power BI

Tableau

Job description

Motorola Solutions in the Greater Chicago Area is offering an AI & Data Analytics Intern - Supply Resilience. You will integrate internal supply chain metrics with external market data and build predictive ML models to forecast disruptions before they affect operations.

You will use Python or R, and create dashboards with Power BI or Tableau to translate model outputs into actionable insights for supply chain planners, while documenting methodology and results for stakeholders.