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Intern, Supplier Management (Fall 2026)

Bombardier -
Mississauga, ON

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Détails du poste

Stage/coop

Profil recherché

TensorFlow
Power BI
Microsoft Access
Azure
Informatique
PyTorch
Approvisionnement
SAP
R
Mathématiques
SQL
Pandas
AWS
Esprit d'analyse
Apprentissage automatique
Visualisation de données
Intelligence artificielle
Affaires
Évaluation de modèle
Compétences en communication
Python
Science des données

Description complète du poste

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
Meet a Specialist
Meet a Pilot
Women Taking Flight

Learning more about Bombardier, including:

Aircraft 101 conference
Bombardier Products conference
Visits of the Bombardier sites
Bombardier Academy of Learning

Many social/networking opportunities, including:

Interns’ committee
Volunteering
Internal Case Competition
5 à 7, Potluck, and much more!

What are your contributions to the team?

As a Data Scientist-Intern, you’ll play a crucial role in extracting valuable insights from large datasets to drive data-driven decision-making within the team. Your expertise in analytical, statistical, programming, ML, and AI skills will be instrumental in shaping the organization’s success. You will work closely with cross-functional teams to analyze data, develop predictive models, improve transportation logistics, and optimize inventory management.

Here are the key responsibilities and qualifications for this role:

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.
Proficiency in conducting comprehensive data analysis to uncover insights, identify trends, and extract actionable intelligence from large and complex datasets. Candidates should have experience using statistical methods, data visualization techniques, and exploratory data analysis to derive meaningful conclusions.
Strong programming skills in languages such as SQL, Python, R, or similar, with a focus on developing scalable and efficient AI solutions.
Demonstrated experience working as a Data Scientist, AI Engineer, or in a similar role, with a strong focus on developing AI tools and algorithms. Candidates should have a portfolio showcasing successful projects where they have applied machine learning techniques to solve real-world problems and drive business value.
Leverage Power BI for data visualization and reporting.
Strong analytical and problem-solving skills, with the ability to break down complex problems by driving alignment between material supply and factory demand plan to meet customer requirements.
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 in 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.
Flexibility and adaptability to work in a fast-paced and dynamic environment, with the ability to prioritize tasks, manage multiple projects simultaneously, and quickly adjust to changing requirements and priorities.
A passion for staying updated on the latest advancements in AI, machine learning, and data science. Candidates should demonstrate a commitment to continuous learning and professional development, with a willingness to explore new tools, techniques, and methodologies.

How to thrive in this role?

As our ideal candidate,

You are studying a degree in data science & business analytics, Computer Science, Mathematics, Statistics, or a related field.
You have at least 2 years of experience in developing and deploying machine learning models.
You have strong knowledge of machine learning algorithms, statistical modeling, and data analysis techniques.
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 know 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 excellent problem-solving and analytical skills.
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.

If you’re passionate about turning data into actionable intelligence, exploring ML and AI, and contributing to the growth of a manufacturing organization, this role might be a perfect fit for you!

Boarding Information:

Location: Global 7500/8000
Duration: 4 months
Flexible workplace-Hybrid

It is important to note that our internship opportunities are open to students only, not new graduates. The base salary for this position is expected to range from CAD $17.75 to CAD $31.00 per hour. The applicable base salary will be determined based on various criteria, at Bombardier’s sole discretion, such as the candidate’s skills, experience and qualifications. All our interns may be required to occasionally travel outside of Canada for training/work purpose.

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