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Python Developer Part Time Jobs in Ontario (NOW HIRING)

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Python Developer Part Time information

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$20K

$101.8K

$179.5K

How much do python developer part time jobs pay per year?

As of Sep 10, 2026, the average yearly pay for python developer part time in Ontario is $101,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What is a part-time python developer?

Python Developer Part Time jobs involve working with the Python programming language to build, maintain, or enhance software applications, but on a part-time basis. This means the developer typically works fewer hours than a full-time role, often ranging from 10 to 30 hours per week. Part-time Python developers may handle tasks like writing code, debugging, developing scripts, or integrating APIs, depending on the employer's needs. These roles are common in startups, remote teams, or companies with flexible work arrangements. The flexibility allows professionals to balance other commitments while contributing technical expertise.

What does a part-time python developer do?

Python is a programming language used for data analysis and visualization. Some of your responsibilities as a part-time Python developer are to write scalable and effective code, develop an application using user-facing elements, test and debug computer programs, and create backend components to improve performance and responsiveness. Your other duties include working within the existing framework to ensure that software fits the client’s needs, implementing data protection and security solutions, examining current systems to determine where improvements could be beneficial, and prioritizing and assessing feature requests to determine if these are feasible and something that you can implement.

What are the key skills and qualifications needed to thrive as a part-time python developer, and why are they important?

To thrive as a Python Developer Part Time, you need strong programming skills in Python, experience with frameworks like Django or Flask, and a background in computer science or related fields. Familiarity with version control systems like Git, databases such as PostgreSQL or MySQL, and cloud platforms is typically required. Effective time management, problem-solving abilities, and strong communication skills are essential soft skills for this role. These skills and qualities ensure you can efficiently deliver reliable code, collaborate with teams remotely, and adapt to project requirements in a flexible work environment.

What are the typical challenges faced by part-time python developers when integrating with full-time teams?

Part-time Python Developers often encounter challenges related to communication and staying updated with ongoing project developments, as they are not present during all team meetings or daily stand-ups. To overcome this, it's important to establish clear channels for asynchronous communication and regularly review project documentation or code repositories. Proactively syncing with team members and utilizing collaboration tools like Slack, Jira, or GitHub can help ensure smooth integration and contribution to the team's goals.

What is the difference between Python Developer Part Time vs Python Developer Full Time?

AspectPython Developer Part TimePython Developer Full Time
Work HoursLess than 30 hours/week40 hours/week or more
SalaryPro-rated based on hoursFull salary with benefits
Job ResponsibilitiesFocused tasks, limited scopeBroader responsibilities, project involvement
Work EnvironmentRemote or flexibleOften office-based or hybrid

The main difference between Python Developer Part Time and Python Developer Full Time lies in work hours, compensation, and scope. Part-time roles offer flexibility with fewer hours and responsibilities, while full-time positions provide comprehensive engagement and benefits. Both roles require similar skills and credentials, but the commitment level varies.

Are Python developers still in demand?

Python developers are currently in high demand due to the language's versatility in web development, data analysis, machine learning, and automation. Many organizations seek professionals skilled in Python, along with frameworks like Django or Flask, to support diverse technology projects.

What are the most commonly searched types of Python Developer jobs in Ontario?

The most popular types of Python Developer jobs in Ontario are:

What are popular job titles related to Python Developer Part Time jobs in Ontario?

For Python Developer Part Time jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Python Developer Part Time jobs in Ontario look for?

The top searched job categories for Python Developer Part Time jobs in Ontario are:

What cities in Ontario are hiring for Python Developer Part Time jobs?

Cities in Ontario with the most Python Developer Part Time job openings:

Infographic showing various Python Developer Part Time job openings in Ontario as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $101,808 per year, or $48.9 per hour.

Vice President, Data Scientist

Toronto, ON • On-site

BMO Capital Markets
1 - 5K employees

CA$120K - CA$150K/yr

Full-time, Part-time

Medical, Life, Retirement

Re-posted 6 days ago


Key responsibilities

  • Develop and implement advanced analytics and machine learning models to support algorithmic trading strategies.

  • Build predictive models for trading across various asset classes and analyze large datasets to extract insights.

  • Collaborate with trading desks and stakeholders to identify opportunities, optimize strategies, and communicate findings.


Job description

Application Deadline:

Address:

100 King Street West

Job Family Group:

Capital Mrkts Sales & Service

BMO Capital Markets is a leading, full-service North American-based financial services provider, withover 2,700 professionals in 30 locations around the world, including 20 offices in North America, offering corporate, institutional and government clients access to a complete range of investment and corporate banking products and services.BMO Capital Markets is a member of BMO Financial Group (NYSE, TSX: BMO), one of the largest diversified financial services providers in North Americawith US$1.0 trillion total assets andapproximately 54,000 employees as of January 31, 2025.

About the Role

We are seeking a talented and experienced Data Scientist to join our Data Cognition Team at BMO Capital Markets. As a Data Scientist, you will be responsible for developing and implementing advanced analytics and machine learning models to support algorithmic trading strategies, and drive business decisions in the front office, Investment Banking, and Corporate Banking. You will collaborate closely with business teams and other stakeholders to understand their data needs and provide insights that improve trading performance and profitability.

Our Team

The Data Cognition Team (DCT) at BMO Capital Markets delivers a scalable, customizable, and sustainable suite of AI-enabled products for multiple business units. Leveraging cutting-edge data and analytics technologies, we solve complex business challenges and drive strategic transformation across Investment Banking, Global Markets, and other divisions.

Key Responsibilities

Develop and implement advanced analytics and machine learning models using techniques such as Generative AI, Deep Learning, and Reinforcement Learning.

Build predictive models for algorithmic trading across asset classes including Equities, Fixed Income, Commodities, and Foreign Exchange.

Collaborate with trading desks, investment banking teams, and corporate banking stakeholders to identify opportunities and optimize strategies.

Research and experiment with new machine learning techniques, including time series analysis, to improve trading performance and profitability.

Design and maintain reproducible machine learning pipelines for production environments.

Analyze large datasets to extract insights and support strategic decision-making.

Communicate complex technical concepts to non-technical stakeholders and present findings to senior management.

Visualize complex data clearly and concisely for business consumption.

Qualifications

Ph.D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance, economics, or operations research preferred).

Minimum 3 years of experience in data science or machine learning; experience in capital markets is a strong asset.

Proficiency in statistical modeling, time series analysis, and machine learning frameworks.

Strong programming skills (Python preferred) and experience with cloud technologies.

Familiarity with financial tools such as Bloomberg, FactSet, and Thomson Reuters is a plus.

Excellent problem-solving skills and ability to formulate hypotheses and learn from data.

Strong communication skills for effective collaboration with technical and business stakeholders.

Team-oriented, adaptable, and detail-focused with a results-driven mindset.

Nice to Have

Experience with Generative AI and advanced ML techniques.

Knowledge of investment banking concepts, trading strategies, and financial data formats.

Familiarity with MLOps tools and practices for model deployment and monitoring.

What We Offer

Join our dynamic team at BMO Capital Markets and contribute to solving complex challenges in investment banking and global markets using innovative technologies. We offer opportunities for professional growth, access to cutting-edge tools, and the chance to make a significant impact on critical business operations. Apply today with your resume, highlighting your relevant experience in data science and finance.

Base Salary: $120,000-$150,000 CAD

(subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)

Salary:

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.