Data Science & AI Intern, Supply Chain (Hybrid)

Bombardier

Dorval

Hybrid

CAD 13,000 - 25,000

Full time

10 days ago

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Job summary

Bombardier Transportation GmbH is seeking a Winter 2027 Intern in Supply Chain Data Insights and Profitability at the Dorval, QC site. You will apply AI/ML to forecast demand, optimize inventory, and streamline procurement using ERP data and analytics.

You will use Power BI for reporting, collaborate with cross‑functional teams, and contribute to profitability insights, with a hybrid on‑site schedule in Montreal area. Open to students with ML experience and bilingual English/French.

Qualifications

Pursuing degree in data science, analytics, CS, math, statistics, or engineering.
Strong programming in SQL/Python, with exposure to ML.
Experience with data visualization and ML lifecycle concepts.

Responsibilities

Utilize ERP data and data science techniques to develop demand forecasting models.
Leverage Power BI for data visualization and reporting.
Apply ML algorithms to identify patterns and predict errors in invoices, policies, and budgets.
Hands‑on pattern recognition and anomaly detection ML solutions.
Collaborate with stakeholders to build customer‑facing reporting tools with KPI insights.
Manage development of tools to increase team efficiencies.
Present findings clearly to stakeholders.
Work with upper management to diagnose problems and develop solutions.