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Velocity - Data Scientist Internship/Co-Op - Fall 2024

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26d ago

🚀 Off-cycle Internship


⌛ Closed
Applications are closed

Off-cycle Internship



  • There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).  
  • The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine! 


  • You are currently enrolled in post-secondary education.
  • You love to learn and envision yourself working for an international organization that heavily invests in your future.
  • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
  • You have knowledge/experience in:
  • Cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files)
  • Big Data/Cloud ecosystem (e.g., GCP)
  • Experimental design, statistical analysis, machine learning
  • Python programming
  • Common machine learning libraries in Python, PySpark (scikit-learn, xgboost)
  • UNIX tools and shell scripting
  • SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
  • Visualization tools like PowerBI
  • Kubernetes
  • Git Workflows (Pull Request, Code Review, Branching)

Education requirements

Currently Studying

Area of Responsibilities



  • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutions
  • Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling
  • Collaborate with data engineering, software developer, and other analytics teams to build analytical dataset and model
  • Create and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changes
  • Prepare detailed documentation to outline data sources, models, and algorithms used and developed
  • Present results to business line stakeholders and help implement real data-driven changes
  • Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes
  • Experiment & learn!


Work type

Full time

Work mode


Application deadline

May 24, 2024