toronto on entry level scientist Jobs – 1 Openings This Week

Velocity - Data Scientist Internship/Co-Op - Fall 2026
Scotiabank —Toronto, ON
- Full-time
- SQL
- Machine learning
- Cleaning

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Velocity - Data Scientist Internship/Co-Op - Fall 2026

Scotiabank -
Toronto, ON

Apply Now

Job details

Full-time | Internship / Co-op

Qualifications

Power BI
Data mining
Kubernetes
XML
DB2
Relational databases
Spark
Post-secondary education
UNIX
Microsoft SQL Server
Git
Google Cloud Platform
SQL
Machine learning
Distributed systems
Cleaning
JSON
Python
Shell Scripting
MySQL

Full job description

Requisition ID: 259589

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Velocity - Data Scientist Internship/Co-Op – Fall 2026

Term: September 2026 – December 2026

Work Hours/Week: 37.5

Application Deadline: May 22, 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!

Note: The one-way video interview & codility assessment for all our Velocity Data Science, Data Analyst, Data Engineering for Summer 2026 Internship applications are the same. You only need to complete this once!

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Apply Now

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