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Python Developer Intern Jobs in Toronto, ON (NOW HIRING)

Stripe

PhD Data Scientist, Intern

Toronto, ON

Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that ... such as Python, R, etc) and SQL. We believe new programming languages can be learned if the ...

Swiss Re

Actuarial Intern (Fall 2026)

Toronto, ON

About the Role As an Actuarial Intern in the Life & Health Valuation Americas team, you'll be ... Experience with database applications and SQL, programming languages such as R and Python, Power BI ...

NexScale

Software Engineer

Toronto, ON · On-site +1

... intern will have: * Shipped 1-2 production features used by real customers * Contributed ... Strong programming skills in Python and/or TypeScript/JavaScript * Experience with modern ...

Waabi

2026 Intern, PhD Research Scientist

Toronto, ON

CA$60/hr

Qualifications: - Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning ... Python and/or C++.. - Open-minded and collaborative team player with willingness to help others ...

Magna

Artificial Intelligence Student

Concord, ON · On-site

CA$20 - CA$22/hr

Your expertise in AI technologies, programming, and machine learning algorithms will contribute to ... Python, YOLO Models, Tensorflow, PyTorch, * Strong analytical skills with the ability to interpret ...

Waabi

Research Internship/Co-op

Toronto, ON

CA$45 - CA$60/hr

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ... Python and/or C++.. - Open-minded and collaborative team player with willingness to help others ...

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All JobsPython Developer Intern JobsPython Developer Intern Jobs in Toronto, ON

Python Developer Intern information

See Toronto, ON salary details

$19.1K

$81.2K

$160.8K

How much do python developer intern jobs pay per year?

As of Jul 7, 2026, the average yearly pay for python developer intern in Toronto, ON is $81,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,787.00 and $117,861.00 per year, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on as a Python Developer Intern?

As a Python Developer Intern, you may work on a variety of tasks ranging from writing and testing code to debugging existing applications and developing new features under the supervision of senior developers. You could be involved in supporting ongoing software development projects, automating routine processes, or contributing to data analysis efforts, depending on the team's focus. Interns often collaborate with mentors and other team members through code reviews, stand-up meetings, and paired programming sessions. This hands-on experience provides valuable exposure to industry best practices and helps build a strong foundation for future advancement within software development roles.

What are the key skills and qualifications needed to thrive in the Python Developer Intern position, and why are they important?

To thrive as a Python Developer Intern, you need a solid understanding of Python programming, problem-solving abilities, and foundational knowledge of computer science principles, often backed by coursework or personal projects. Familiarity with version control systems like Git, basic databases, and frameworks such as Flask or Django can be advantageous, though formal certifications are not always required. Effective collaboration, strong communication, and a willingness to learn help interns stand out in dynamic development teams. These skills are essential for quickly adapting to real-world projects, contributing meaningfully, and developing as a professional in a fast-paced tech environment.

What is a Python Developer Intern job?

A Python Developer Intern is an entry-level role where interns assist in developing, testing, and maintaining software applications using Python. They work under the guidance of senior developers to write clean and efficient code, debug issues, and collaborate with teams on various projects. Interns may also gain experience with frameworks like Django or Flask, databases, and APIs. This role helps build hands-on programming skills and provides valuable industry experience for future opportunities.

What are the most commonly searched types of Python Developer jobs in Toronto, ON? The most popular types of Python Developer jobs in Toronto, ON are:
What are popular job titles related to Python Developer Intern jobs in Toronto, ON? For Python Developer Intern jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Python Developer Intern jobs in Toronto, ON look for? The top searched job categories for Python Developer Intern jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Python Developer Intern jobs? Cities near Toronto, ON with the most Python Developer Intern job openings:
Python Developer Intern jobs near you
Infographic showing various Python Developer Intern job openings in Toronto, ON as of July 2026, with employment types broken down into 71% Full Time, 19% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $81,156 per year, or $39 per hour.

Business Strategy & Analytics Intern

Mlse

Toronto, ON

Full-time

Posted 11 days ago

Job description

Powered by Passion. United by Purpose. Build for Impact.

At Maple Leaf Sports & Entertainment Partnership (MLSE), we exist to deliver the ultimate fan experience by lifting trophies, spirits, and communities - united as one.

We're more than a workplace. We are a team of passionate people, boldly building the future of sport and entertainment, together. We believe in the power of play, the strength of collaboration, and the energy that comes from showing up with purpose.

From the ice to the pitch, the hardwood to the digital arena, we're proud to be the driving force behind the Toronto Maple Leafs (NHL), the Toronto Raptors (NBA), Toronto FC (MLS), Toronto Argonauts (CFL) and development teams with the Toronto Marlies (AHL), Raptors 905 (NBA G League), Toronto FC II (MLS NEXT Pro League) and Raptors Uprising Gaming Club, the Toronto Raptors Esports franchise in the NBA 2K League.

We bring these teams - and world-class entertainment - to life at our iconic venues, including Scotiabank Arena, BMO Field, Coca-Cola Coliseum, Ford Performance Centre, BMO Training Ground, and OVO Athletic Centre. Off the field, we serve up elevated dining at e11even, Real Sports, and our signature club spaces like Hot Stove Club, ScotiaClub, and Platinum Club.

Through MLSE Foundation and MLSE LaunchPad, we use the power of sport to help youth facing barriers reach their full potential. Since 2009, we've invested more than $45 million into Ontario communities -- and we're just getting started.

This is what it means to be One MLSE: a culture where everyone plays a role, everyone belongs, and everyone contributes to something bigger than themselves.

So, if you're ready to play with purpose, grow with passion, and win as one, we'd love to have you on our team.

** We know that great candidates come from a variety of backgrounds and experiences. Even if you do not meet every qualification listed, we encourage you to apply. Your unique perspective, transferable skills, and lived experience may be exactly what we're looking for. **

Job Description

As part of the Business Analytics team, this intern role will support the development of predictive models, operational analytics, and AI-enabled business intelligence solutions across MLSE. You will have the unique opportunity to apply data science and cloud-based analytics tools to real-world sports and entertainment business problems, including in-venue operations, fan engagement, and performance marketing. As part of the Strategy and Analytics team, you will collaborate with stakeholders across ticketing, marketing, digital, venue operations, and food & beverage to translate complex data into actionable strategies that improve fan experience, operational performance, and commercial outcomes.

MLSE's Internship term dates are from September 8, 2026 - December 18, 2026

Responsibilities:

  • Support the development and evaluation of predictive and machine learning models using Python or R

  • Analyze in-venue operational data to support KPIs related to attendance, staffing, throughput, guest experience, and revenue

  • Utilize AI and automation tools to enhance reporting, insight generation, and business intelligence workflows

  • Analyze digital and performance marketing data across channels to assess campaign effectiveness, attribution, and ROI

  • Support analytics and machine learning workflows in cloud-based environments, leveraging tools such as Databricks and AWS

  • Create clear and compelling presentations, documentation, and storytelling materials to communicate insights to senior leaders and stakeholders

  • Support strategic initiatives through data-driven research, analysis, and recommendations

Qualifications

  • Currently enrolled in a post-secondary program in Data Science, Analytics, Computer Science, Engineering, Mathematics, Statistics, Economics, Marketing Analytics, or a related discipline

  • Experience analyzing data using Python and/or R, with working knowledge of SQL

  • Strong analytical and problem-solving skills with the ability to translate business questions into data-driven solutions

  • Experience building dashboards or analytical outputs using Power BI, Tableau, or similar visualization tools

  • Strong written and verbal communication skills, with the ability to present insights to both technical and non-technical audiences

  • Ability to manage multiple priorities, work independently, and collaborate effectively in a team environment

  • Hands-on experience using Databricks for data analysis, feature engineering, or model development is preferred

  • Familiarity with cloud-based data architectures and analytics workflows, particularly in AWS, is an asset

  • Academic or project-based experience building predictive or machine learning models is an advantage

  • Exposure to performance marketing, digital analytics, or attribution modeling is a plus

  • Interest in sports, live events, or entertainment analytics is highly desirable

  • Available to work full-time regular hours with flexibility around event-based work

  • Team-first, curious, positive, and eager to learn in a fast-paced environment

Job Posting Compensation Range/Rate:

$38,760

We're glad you're here. Once you apply, we'll follow up by email, and you can track everything in your Candidate Portal. Want instant updates? Opt-in for SMS notificationsto stay in the loop.

At MLSE, we are committed to building an equitable, diverse and inclusive organization. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. MLSE will provide reasonable accommodation for qualified individuals with disabilities in the job application process. If you have difficulty using our online application system and you need an accommodation due to a disability, please email accommodations@mlse.com. This email is only for accommodation requests. Resumes sent to this email address will not be considered.

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