Intern, Supply Chain (Data Insights and Profitability), (Winter 2027)

**Innovation is in our DNA… is it in yours?** Bombardier is a global leader in aviation, creating innovative and game-changing planes. Our products and services provide world-class experiences that set new standards in passenger comfort, energy efficiency, reliability and safety. We are a global organization focused on working together with a team spirit. **Your boarding pass will include…** Several conferences, including: * Meet An Executive * Women Taking Flight Learning more about Bombardier, including: * Bombardier Products conference * Visits of the Bombardier sites * Bombardier Academy of Learning Many social/networking opportunities, including: * Volunteering * Networking for Success * 5 à 7, Potluck, and much more! **What You Will Learn** ----------------------- * Gain experience in applying AI and ML in a real-world business setting. * Learn about supply chain management and the aerospace industry. * Learn from experienced professionals in applying analytics in the workplace. * Be exposed to management to learn about their business priorities. * Learn about financial concepts that are important for managing a global business. ### **What are your contributions to the team?** * Utilize ERP data and data science techniques to develop demand forecasting models, enabling the company to anticipate customer demand, optimize inventory levels, and streamline procurement processes. * Leverage Power BI for data visualization and reporting. * Apply machine learning algorithms to identify patterns and predict likely errors in invoices, ordering policies, and budgets enabling the company to reduce rework and improve financial accuracy. * Hands-on pattern recognition and anomaly detection ML solutions. * Collaborate with stakeholders to construct customer-facing reporting tools that provide insights and metrics tracking forecast accuracy, inventory levels, transportation efficiency, and other key performance indicators (KPIs). * Manage the development of tools to increase efficiencies throughout the team. * Present findings in a clear and compelling manner to stakeholders. * Work in members of upper management to diagnose problems, identify business needs, and develop solutions and tools that meet their needs. ### **How to thrive in this role?** As our ideal candidate: * You are studying a degree in data science, business analytics, computer science, mathematics, statistics, engineering or a related field. * You have at least 2 years of experience in developing and deploying machine learning models in an academic setting. * Strong programming skills in languages such as SQL, Python, R, or similar, with a focus on developing scalable and efficient AI solutions. * Demonstrated academic or project experience working as a data scientist, AI engineering, or in a similar role, with a strong focus on developing AI tools and algorithms would be a strong asset. * You have strong knowledge of machine learning algorithms, statistical modeling, and data analysis techniques at the undergraduate level. * You have hands-on experience with programming languages such as Python, Pandas, R, SQL: Experience with complex queries. * You have In-depth understanding of machine learning algorithms, techniques, and frameworks. Candidates should be proficient in designing, training, and evaluating machine learning models using tools such as TensorFlow, PyTorch, scikit-learn, etc. * You have experience in development using cloud providers Azure (Databricks, Synapse) and AWS. * You have some knowledge of Pyspark and AzureDevops or equivalents for CICD orchestration. * You have experience at some level with some production-level ML lifecycle management, at least with MLflow. * You have strong communication and interpersonal skills to work effectively with cross-functional teams. * Familiarity with Microsoft Access and SAP and Reinforcement Learning is considered an asset. * You are able to work effectively in English and French on a daily basis. * You are able to work onsite at the designated Montreal office location, at least two (2) days per week, sometimes more, as per the applicable policy. **Boarding Information:** * Location: Administrative Centre (CA) * Duration: 4 months * Flexible workplace-Hybrid *It is important to note that our internship opportunities are open to students only, not new graduates. All our interns may be required to occasionally travel outside of Canada for training/work purpose.*