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Python Programming Internship Jobs in Toronto, ON

Vosyn

IT Developer - Master-Level Internship

Etobicoke, ON · On-site +1

$32/hr

Write clean, efficient, and maintainable code using high-level programming languages such as Python ... Our interns come from top universities worldwide, and we invite you to contribute, learn, and grow ...

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Python Programming Internship information

What are the key skills and qualifications needed to thrive as a Python Programming Intern, and why are they important?

To thrive as a Python Programming Intern, you need a solid understanding of Python fundamentals, problem-solving abilities, and a background in computer science or a related field. Familiarity with version control systems like Git, basic databases (e.g., SQLite, MySQL), and frameworks such as Django or Flask is often beneficial. Strong communication, eagerness to learn, and teamwork help you adapt to new technologies and collaborate effectively. These skills and qualities are crucial for contributing to projects, gaining practical experience, and growing in a real-world development environment.

What types of projects can I expect to work on during a Python Programming Internship?

As a Python Programming Intern, you will typically work on a variety of hands-on projects such as building automation scripts, developing web applications, analyzing data, or contributing to existing codebases. Many internships involve collaborative tasks where you'll pair with experienced developers, participate in code reviews, and help troubleshoot bugs. These projects are designed to strengthen your understanding of Python and teach you best practices in software development, version control, and testing. You may also have opportunities to present your work or contribute to documentation, further developing your professional skills.

What is a Python Programming Internship?

A Python Programming Internship is a temporary position where students or recent graduates gain practical experience working with the Python programming language. Interns typically assist with writing, testing, and debugging Python code, often contributing to software development projects under the guidance of experienced developers. This internship helps individuals apply their classroom knowledge to real-world scenarios, build a professional network, and enhance their technical skills. Python programming internships can be found in various industries, including technology, finance, data science, and more.

What is the difference between Python Programming Internship vs Python Developer?

AspectPython Programming InternshipPython Developer
Required CredentialsTypically pursuing or recently completed a degree in Computer Science or related fieldBachelor's or higher in Computer Science or related field, with professional experience
Work EnvironmentInternship programs, entry-level projects, learning-focusedFull-time professional role, project development, maintenance
Employer & Industry UsageTech companies, startups, educational programsTech firms, software companies, enterprise solutions
Search & Comparison IntentLooking for entry-level opportunities or internships in PythonSeeking professional Python development roles

The main difference between a Python Programming Internship and a Python Developer role lies in experience level, responsibilities, and work environment. Internships are designed for students or recent graduates gaining practical experience, while Python Developers are experienced professionals working on complex projects. Internships serve as a stepping stone into the industry, whereas Python Developer roles involve full project ownership and advanced skills.

What are the most commonly searched types of Python Programming jobs in Toronto, ON? The most popular types of Python Programming jobs in Toronto, ON are:
Python Programming Internship jobs near you
Infographic showing various Python Programming Internship job openings in Toronto, ON as of May 2026, with employment types broken down into 82% Full Time, 13% Part Time, and 5% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.
Velocity - Data Scientist Internship/Co-Op -Fall2026

Velocity - Data Scientist Internship/Co-Op -Fall2026

Scotiabank

Toronto, ON • On-site

Other

This job post has expired today. Applications are no longer accepted.

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 -Fall2026 

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 notrequireresumes! We believe in evaluating you through relationshipsover resumes and are eager to learn about you, your interests, and your potential. 

There'sno better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term,you'llhave 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'sa place for every type of student atScotiabankand all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity). 

TheVelocity Programis 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 toestablishyour future placements. As a result, youwill get tolearn, 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 andidentifyopportunities to drive business value byleveragingdata 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 implementreal data-drivenchanges 

  • 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'dlove 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 likePowerBI 

  • Kubernetes 

  • Git Workflows (Pull Request, Code Review, Branching) 

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

What'sin it for you? 

  • You'llbe 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 Profilehereand save it as a screenshot. 

Step 2:Complete a short one-way video interviewhere. 

Step 3:Complete a coding test throughCodilitytoshowcaseyour technical skills by solving job-related problems. Please make sure to have thisCodilitytest completed prior to applying through our career site. Whenyou'reready,click hereto begin the assessment. 

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

Note: Theone-way video interview & codility assessmentfor 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. If you require technical assistance, please click here. 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