About the role#
This internship focuses on supply chain data insights and profitability within the aerospace sector. You will work with upper management to diagnose business problems and build technical solutions. This is a full-time, paid position for the Winter 2027 term.
What you'll do#
- Build demand forecasting models using ERP data and data science techniques.
- Create data visualizations and reports using Power BI.
- Develop machine learning solutions for pattern recognition and anomaly detection.
- Identify errors in invoices, budgets, and ordering policies using machine learning algorithms.
- Collaborate with stakeholders to design customer-facing reporting tools.
- Manage tool development to improve team efficiency.
- Present your findings and insights to management and project stakeholders.
What you'll need#
- Current enrollment in a degree program for data science, computer science, mathematics, statistics, business administration, or engineering.
- At least 2 years of experience building and deploying machine learning models in an academic setting.
- Strong programming skills in Python, R, or SQL.
- Experience with TensorFlow, PyTorch, or scikit-learn.
- Familiarity with cloud platforms including Azure (Databricks, Synapse) and AWS.
- Knowledge of PySpark, Azure DevOps, and MLflow for production-level lifecycle management.
- Ability to work effectively in both English and French.
- Strong communication skills to interact with cross-functional teams.
Location & details#
- Location: Dorval, Quebec.
- Work Modality: Hybrid, with at least two days per week required onsite at the Montreal office.
- Duration: 4 months.
- Note: This position is open to current students only.
About Bombardier
Bombardier designs, manufactures, and services business jets. Founded in 1942, the company maintains a global fleet of approximately 5,000 aircraft. It serves corporate clients, private individuals, and government entities. Headquartered in Dorval, Québec, the company operates facilities across North America and maintains a support network in several international locations.
How to get in at Bombardier
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