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Python Data Science Jobs in Ontario (NOW HIRING)

Manager, Data Science

Toronto, ON · Hybrid

CA$173K - CA$197K/yr

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Manager, Data Science About Capital One ... Python, Scala, or Java) * At least 5 years of experience with version control system like Git and ...

Data Scientist

Toronto, ON

CA$68K - CA$100K/yr

Ensure the accuracy and reliability of data science models, conduct peer reviews of AI and other ... Knowledge of programming languages such as Python or Java. * Nice-to-have: * Knowledge of SQL ...

... science platform - Experience in the workforce development industry Our Tech Stack - Languages: SQL, Python - Data orchestration and transformation: Airflow, dbt - Data storage and warehousing:

... Science, Data Science, Mathematics). * 3+ years of hands-on experience building and productionizing machine learning/statistical models. * Advanced proficiency in Python and SQL; experience with ...

... Python/R , SQL , Tableau/Power BI , and enterprise ML platforms like SageMaker , Vertex AI , and MLflow . * Apply enterprise data science methodologies including statistical rigor, A/B testing ...

Senior Data Scientist

Woodbridge, ON · On-site

CA$120K - CA$165K/yr

Data Science and Analytics Location: 6300 Steeles Ave West, Woodbridge Total Potential Compensation ... Building Targeting & Pricing models, as well as optimization using python, gurobi or the like.

... large datasets using Python, SQL, and Spark • Document and present findings clearly to ... Utilize your data science expertise to make a significant impact at Scribd, enhancing user ...

... data science experience • Proven experience in Fraud or Financial Crimes • Proficiency in SQL plus a coding language like Python • High attention to detail and project management skills • ...

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Qualifications Must-Have * 1+ years of professional data science experience. * Experience at a leading technology, research, or quantitative firm. * Strong command of Python , SQL , statistical ...

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our ... Proficiency in SQL and a computing language such as Python or R * Experience in working with cross ...

Strong proficiency in R, or demonstrated proficiency in another data science programming language such as Python, Julia or similar. * Demonstrated application of statistical, econometric or ...

Minimum of 5 years of applicable experience in data science, advanced analytics, machine learning, or AI solution development. * Advanced programming capability in Python, R, or similar analytical ...

What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ... You bring 1-5 years of experience with Python and SQL for database querying and data manipulation ...

What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ... You bring 1-5 years of experience with Python and SQL for database querying and data manipulation ...

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Qualifications Must-Have * 1+ years of professional data science experience. * Experience at a leading technology, research, or quantitative firm. * Strong command of Python , SQL , statistical ...

Showing results 41-60

Python Data Science information

See Ontario salary details

$24.5K

$135K

$206K

How much do python data science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for python data science in Ontario is $135,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,000.00 and $171,500.00 per year, depending on experience, location, and employer.

What is a Python data science?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What does a Python data science do?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What are the key skills and qualifications needed to thrive in the Python data science position?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000. Salary levels also vary based on certifications and the complexity of projects handled.

Is Python useful for data science?

Python is a widely used programming language in data science, valued for its simplicity and extensive libraries such as Pandas, NumPy, and scikit-learn. Data scientists and analysts often use Python for data manipulation, analysis, and machine learning tasks, making it a key skill in the field.

Which Python Data Science job is in demand?

Data Scientist and Machine Learning Engineer roles are currently in high demand in Python Data Science, especially those with skills in libraries like Pandas, NumPy, and scikit-learn, and experience with cloud platforms. These positions often require strong analytical skills, programming proficiency, and knowledge of statistical modeling or deep learning.

What job categories do people searching Python Data Science jobs in Ontario look for?

The top searched job categories for Python Data Science jobs in Ontario are:

Infographic showing various Python Data Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $135,015 per year, or $64.9 per hour.

Manager, Data Science

Capital One

Toronto, ON • Hybrid

CA$173K - CA$197K/yr

Full-time

Posted 10 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

88th of 174 rated banks


Job description

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Manager, Data Science

About Capital One Canada
For 30 years, we've been on a mission to change banking for good. We challenge the traditional bank stereotype, fostering a culture where innovation thrives and bold ideas are celebrated.

We're driven by what's possible, leveraging the power of data and technology to empower innovative solutions, inspire one another to dream boldly, and take transformative ownership of decisions and outcomes that directly impact millions of Canadians. Every challenge is an opportunity to lead from the front, working together toward a shared vision that extends far beyond banking.

We balance high-performance with investment in your long-term success, ensuring you have the support you need to do your best work. Here, you'll take full accountability for your path, upskilling through hands-on experience and mentorship, to turn your curiosity into a career built on your own terms.

Are you ready to redefine what's next?

About the Team
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

About the Role

As a Data Science Manager at Capital One, you'll manage a team that's leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time, and agony in their financial lives.

Your Responsibilities:

  • Overseeing the development of software to clean and investigate large, messy data sets of numerical and textual data

  • Networking with various teams to explore internal and external data sources and APIs to help uncover new trends and improve analysis

  • Designing and contributing to highly scalable data pipelines, tools, and products to enable the analyst community to fully leverage the power of AWS

  • Using industry-leading machine learning techniques to build and optimize credit models and underwriting infrastructure

  • Working with your team to analyze large swaths of data in order to optimize various business programs

  • Managing and developing talent to drive a highly performant and engaged team

  • Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow

Basic Qualifications:

  • At least 5 years of experience developing statistical or quantitative models

  • Experience with Machine Learning workflows

  • 5+ years experience in model development

  • At least 5 years of experience in open source programming languages for large scale data analysis (Python, Scala, or Java)

  • At least 5 years of experience with version control system like Git and GitHub.

  • At least 5 years of experience with relational databases and programming in SQL

Preferred Qualifications:

  • Bachelor's Degree/Master's Degree or PhD in a quantitative field

  • Experience working with AWS (EC2, S3, Lambda, RDS, etc.)

  • Experience working with advanced Git Workflows (Pull Requests, Code Reviews, Issues, and Branching)

  • Experience with CICD tools

Working at Capital One

You'll be empowered to take end-to-end ownership of your work and your career, backed by a high-performance, hybrid culture and holistic suite of benefits designed to support your whole self.

  • Take ownership of your own potential: Whether you're looking to upskill, pivot into new business areas, or master your craft, you'll have access to tools and mentorship to reach your potential and define your career trajectory.

  • Find your rhythm: We believe trust fosters the flexibility and autonomy required to balance personal needs with a focus on high performance. We support a hybrid model - with 3 days in the office per week - that gives room for both collaboration and personal commitments.

  • Benefits built for your life: We take a holistic approach to well-being, providing support for you and those who are most important to you. This includes: full coverage for spouses, domestic partners and dependents, a one-time Work From Home allowance to build your comfortable workspace, up to $3,000 in mental health coverage and up to $5,000 in annual tuition subsidies.

You'll find that Capital One is committed to helping you thrive and evolve every step of the way.

This posting is for an existing vacancy.

The expected annual salary range for this position is $173,000 to $197,400. This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es). Incentives could be discretionary or non-discretionary depending on the plan.

Weembrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. However, no hiring decisions are made using AI as every hiring decision is made by our hiring managers, business interviewers, and recruitment professionals. Our teams are equipped with training that empowers them to use AI responsibly.


Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ARCanada@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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