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Intern, Data Science

AT CN
CN

Intern, Data Science

Montreal, Canada

At CN, we are committed to our pursuit ofexcellence. We take pride in delivering work of the highest standard,continually innovating to shape the railroad of the future. As responsiblerailroaders, we make the right decisions every time, putting safety first,acting with unwavering integrity, and holding ourselves accountable for ouractions. We believe in succeeding together-by fostering inclusivity andcollaboration, we sustainably deliver exceptional results for ourcustomers.
We welcome students aboard to join our team andplay a valuable role in the engine that keeps the North American economy ontrack. Expect an exciting environment where you'll be encouraged to learn,grow, and be recognized for your unique ideas and contributions. Work onpivotal projects with experienced collaborators who will encourage you to shareyour perspectives, and thrive in our close-knit, safety-focused culture. Thecareers we offer are meaningful because the work we do matters. Join us and getyour career moving!

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Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Science position in Montreal, QC from Jan - Apr 2025.
The Intern, Data Science is responsible for assisting the Data Science and Artificial Intelligence (AI) team to improve its practice and deliver analytics solutions. The incumbent performs various practice-related activities including standards creation, patterns documentation, and techniques and technologies review. Additionally, the incumbent performs various project-related activities, including data mining, model training and validation, pipeline creation, and data visualization.
Major Responsibilities

  • Perform data Extract, Transform, Load (ETL) with multi-source datasets in preparation for data analytics initiatives
  • Identify, analyze, and interpret trends in complex data sets
  • Apply statistical and machine learning knowledge to specific business problems and data
  • Use data science techniques to find data patterns, anomalies, and optimization opportunities
  • Strive to find the best ways to visualize data and articulate results
  • Build data and model pipelines following Data Operations (DataOps) and Machine Learning Operations (MLOps) practices
  • Work in an agile environment including regular meetings, Scrum, and Kanban

Requirements

  • Excellent communication skills (both verbal and written)
  • Must be a critical thinker and fast learner
  • Ability to analyze, model and interpret data
  • Accuracy and attention to detail
  • Ability to plan, prioritize and manage time
  • Knowledge of databases (e.g., Structured Query Language (SQL), NoSQL, Graph, Search, Time-Series)
  • Knowledge of business intelligence (e.g., Online Analytical Processing (OLAP), cubes, Power BI, Tableau)
  • Knowledge of data design, engineering, and governance (e.g., ETL, Azure Data Factory, Databricks)
  • Knowledge of DataOps, MLOps and Development Operations (DevOps) (Databricks, Azure ML, MLflow)
  • Knowledge of programming languages SQL, Python, R, Scala, and Machine Learning (ML) frameworks and libraries (e.g., TensorFlow, PyTorch, Pandas, Numpy, Scipy).
  • Knowledge of Microsoft Office (Excel, Access)
  • Knowledge of Tableau and Python

Education
Working towards a Bachelor's Degree in Business, Industrial Engineering, Operations Research, Business Analytics, or Information Technology
Any experience/education/skills/knowledge for these above would be considered as an asset

About CN

CN is a premium railroad that sustainably generates value for ourcustomers, shareholders, employees, and stakeholders with an unwaveringcommitment to safety and service. Essential to the economy, to the customers,and to the communities it serves, CN safely transports more than 300 milliontons of natural resources, manufactured products, and finished goods throughoutNorth America every year. CN's network connects Canada's Eastern and Westerncoasts with the U.S. South through an 18,800-mile rail network. CN and itsaffiliates have been contributing to community prosperity and sustainable tradesince 1919. CN powers the North American economy and is committed to programssupporting 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 from underrepresented groups often don't apply unless they feel they fit the job posting at 100%. Even if you don't see yourself in 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 reach out to our team at cnrecruitment@cn.ca.
As an equal employment opportunity employer, all qualified applicants 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. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

Client-provided location(s): Montreal, QC, Canada
Job ID: CN-14690
Employment Type: Intern

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K) With Company Matching
    • Pension
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Access to Online Courses
    • Lunch and Learns
    • Leadership Training Program
    • Associate or Rotational Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)

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