AI & Data Analytics Intern - Supply Resilience

Motorola Solutions is a global company that builds and connects technologies to help keep people, property, and places safer. The AI & Data Analytics Intern - Supply Resilience will develop predictive supply chain risk assessment tools by integrating internal and external data, building machine learning models, creating dashboards, and communicating insights to stakeholders.

What you'll do:

• Identify, aggregate, and ingest internal supply chain metrics (lead times, supplier performance, inventory levels) alongside external market data (geopolitical risks, weather events, commodity price trends, trade tariffs)
• Design, train, and validate predictive algorithms (e.g., risk scoring, time-series forecasting, anomaly detection) to flag potential supply bottlenecks and vendor risks
• Build a functional prototype/dashboard or integrate model outputs into an actionable tool for supply chain planners
• Analyze macro-market trends to engineer features that improve model accuracy and early-warning alerts
• Present model logic, accuracy benchmarks, and actionable insights to key stakeholders and operations teams

What they're looking for:

• Power BI, or Tableau for user interface creation
• Python or R, Scikit-learn, TensorFlow or PyTorch, Pandas, NumPy
• Analytical problem-solving, independent initiative, ability to translate complex data into business insights
• Currently pursuing a Bachelor's degree in Supply Chain Management, Logistics, Business Analytics, Operations, or a related field
• Graduation date not later then Dec.2029
• Travel Requirements None
• Relocation Provided None
• Understanding of logistics, lead times, procurement dynamics, and risk factors