Intern, Data Science (Fall 2026)

**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 are your contributions to the team?** * Preparing and refining training datasets to support model development and evaluation. * Applying feature engineering techniques to transform and enrich data. * Developing and optimizing Python scripts for data processing, automation, and model experimentation. * Collaborating with developers to build and deliver production ready AI solutions. * Using cloud-based AI and data services within model development and deployment workflows. * Deploying AI solutions and monitoring their performance in production environments. * Troubleshooting and improving AI solutions built on Databricks and Azure. * Prototyping and assessing machine learning models for a variety of use cases. * Using DevOps and MLOps best practices for CI/CD, testing, and version control of ML solutions. During your internship, you will learn: (Optional) * Working with both traditional ML and Gen AI, including development, evaluation, and deployment. * Data preparation, feature engineering, and model development using industry standard tools. * GenAI workflows, including prompt engineering, embeddings, LLM fine tuning, and integration with business applications. * How ML and GenAI systems are built and operated within cloud-based environments such as Databricks and Azure AI. * MLOps and GenAI delivery best practices, including CI/CD, model monitoring, and versioning. * Translating business requirements into data-driven and AI-powered solutions. * Collaborating with cross-functional teams, including both technical and business stakeholders. ### **How to thrive in this role?** * You are enrolled in an undergraduate or graduate program in computer science, data science, engineering, or a related applied science field. * You have strong proficiency in Python scripting. * You bring a curiosity and willingness to learn new tools and approaches in AI and ML engineering. * You are a collaborative team player. * You demonstrate autonomy and ownership in your work. * You are a proactive problem-solver who contributes ideas and solutions. * Familiarity with deep learning techniques is considered an asset. **Boarding Information:** * Location: Completion Center * Duration: 8 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.*