AI & Data Analytics Intern - Supply Resilience
Core
Build an intelligent, predictive supply chain risk assessment tool using machine learning to forecast disruptions and flag bottlenecks before they impact operations.
Role type
AI & Data Analytics Intern (Supply Chain)
Builds
Predictive ML models (risk scoring, time-series forecasting, anomaly detection) and actionable dashboards for supply chain planners.
Domain
Supply Chain Management / Logistics / Risk Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, R, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, Power BI, Tableau, time-series forecasting, anomaly detection, feature engineering
Responsibilities
Integrate internal supply chain metrics with external market data (geopolitical risks, weather, commodity prices); design and validate predictive algorithms; build functional prototypes or dashboards; present model logic and insights to stakeholders.