AI & Decision Science Intern
Core
Apply statistics, machine learning, and advanced analytics to real business challenges like demand forecasting, optimization, and logistics planning.
Role type
AI & Decision Science Intern
Builds
Machine learning models and AI solutions for fixed operations, marketing, fleet, sales planning, distribution, and inventory.
Domain
Supply chain, logistics, and advanced analytics
Deliverable
production ML models
Required skills
Python (Pandas, NumPy), SQL, statistical analysis, machine learning concepts (regression, classification, train/test splits), model evaluation
Preferred skills
Scikit-learn, time-series forecasting, optimization, Git/GitHub, Microsoft Azure/Fabric, LLM-based tools (RAG)
Technologies
Python, SQL, Pandas, NumPy, Scikit-learn, Azure AI Foundry, Azure Machine Learning, Azure SQL Managed Instance, Azure Synapse Analytics
Responsibilities
Evaluate business opportunities and data to identify advanced analytics use cases; Extract, clean, explore, and analyze complex datasets; Design, develop, test, and refine statistical and machine learning models; Support model development and deployment using Microsoft Azure stack; Evaluate model performance using metrics and validation methods; Collaborate with data scientists and business partners to translate needs into analytical solutions
Seniority
Intern
