Velocity - Data Scientist Internship/Co-Op - Winter 2027

Velocity - Data Scientist Internship/Co-Op – Winter 2027

Term: January 2027 – April 2027

Work Hours/Week: 37.5  

Application Deadline: October 02, 2026 

Ready to Start your Journey with Scotiabank? Apply Now!  

For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are eager to learn about you, your interests, and your potential.   

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!   

Is this role right for you? In this role, you will: 

• 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!   

Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if: 

• 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)    

• This internship requires you to work 37.5 hours a week.    

What’s in it for you?   

• You’ll be part of a diverse, collaborative, innovative, and high-performing team.   

• In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!   

• Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!   

• Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization. 

Please follow the steps below to successfully apply:   

Step 1: Complete your PLUM Profile here and save it as a screenshot.   

Step 2: Complete a short one-way video interview here.

Step 3: Complete a coding test through Codility to showcase your technical skills by solving job-related problems. Please make sure to have this Codility test completed prior to applying through our career site. When you're ready, click here to begin the assessment.   

Step 4: Once you have completed your Plum Profile, one-way video interview and Codility test, apply to the role on our website. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!