At CN, we are committed to our pursuit of excellence. We take pride in delivering work of the highest standard, continually innovating to shape the railroad of the future. As responsible railroaders, we make the right decisions every time, putting safety first, acting with unwavering integrity, and holding ourselves accountable for our actions. We believe in succeeding together—by fostering inclusivity and collaboration, we sustainably deliver exceptional results for our customers.
We welcome students aboard to join our team and play a valuable role in the engine that keeps the North American economy on track. Expect an exciting environment where you’ll be encouraged to learn, grow, and be recognized for your unique ideas and contributions. Work on pivotal projects with experienced collaborators who will encourage you to share your perspectives, and thrive in our close-knit, safety-focused culture. The careers we offer are meaningful because the work we do matters. Join us and get your career moving!
Intern, Data Scientist
This is a full-time summer internship lasting from May 11, 2026, until August 28, 2026.
Job Summary
The Intern, Data Scientist is responsible for working with CN’s Data Science and Machine Learning Operations (MLops) teams to assist with the collection, analysis, and interpretation of large datasets. The position ensures automation and consistency across big data for the Machine Learning (ML) and Deep Learning (DL) model training.
Main Responsibilities
Develop and test predictive models using scikit-learn, TensorFlow, and Keras
Clean and manipulate data using Pandas and NumPy
Conduct statistical analysis using Python and PySpark Libraries
Engage in text mining and Natural Language Processing (NLP) projects, leveraging techniques like sentiment analysis and topic modeling to extract insights from textual data
Conduct outlier detection and anomaly detection analyses to identify and interpret unusual data points, enhancing model robustness and data integrity
Conduct code reviews and ensure coding standards
Create visualizations and reports using Matplotlib, Seaborn, Plotly, Power BI
Requirements
Strong understanding of statistical and ML concepts and algorithms such as linear and logistic regression, decision trees, random forests, gradient boosting, and neural networks
Strong skills in programming languages such as Python
Experience in developing machine learning models such as Supervised Learning, unsupervised, semi-supervised and Few-Shot Learning algorithms
Experience with data analysis and visualization tools demonstrating the ability to translate data into actionable insights
Ability to communicate findings clearly and effectively
Applies critical thinking
Communicates with impact
Solves problems to create value
Education
Working toward a Bachelor’s Degree, Master’s Degree or Doctor of Philosophy in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence (A.I.), ML or a related field of study
About CN
CN is a premium railroad that sustainably generates value for our customers, shareholders, employees, and stakeholders with an unwavering commitment to safety and service. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. CN's network connects Canada's Eastern and Western coasts with the U.S. South through a 20,000-mile rail network. CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN powers the North American economy and is committed to programs supporting social responsibility and environmental stewardship.
At CN, we are dedicated to building North America's safest, most inclusive and sustainable railroad, which includes reflecting the communities in which we operate. Research shows that candidates often don't apply unless they feel they fit the job posting at 100%. To all potential applicants, even if you don't meet every job requirement listed in a posting, we still encourage you to apply. If you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations), please get in touch with our team at cnrecruitment@cn.ca.
As an equal opportunity employer, qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, and other protected status as required by applicable law.
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