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Python Data Science Jobs in Ontario (NOW HIRING)

CA$100K - CA$115K/yr

... SQL and Python scripts to ensure data quality and model reliability. Business Partnership ... Ph.D. or Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative ...

Apply Early

They will use AI/ML, experimentation, visualization, and robust Python skills to solve high-impact ... University/Post graduate degree in a relevant STEM discipline (Science, Technology, Engineering ...

The Opportunity As a Staff Data Scientist, you will be a senior technical leader driving the ... Python focused on ML/AI and other languages * Experience in software development is highly desired

A Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related discipline ... Python experience focused on machine learning and NLP. Knowledge of other software languages is ...

... in Python and SQL, with experience processing and analyzing large-scale datasets Hands-on familiarity with scalable cloud-based data science platforms such as Databricks and Microsoft Azure ...

The Mastercard Security Solutions Data Science team is seeking a Director of Data Science to lead ... Strong programming proficiency in Python, with hands-on experience working with large-scale ...

How you'll shape Data Science at Achievers: * Work with a team of passionate data scientists on a ... in Python and SQL. * Experience with cloud platforms (e.g., GCP, BigQuery) and version control ...

R_1493912 - Senior Manager, Data Science - COO AI2 Risk Analytics Department Overview: The COO AI2 ... Strong technical skills to lead some advanced analytic use cases (SQL, Python, Pyspark) * Strong ...

... data, and quality standards Required Qualifications Bachelor's degree in Computer Science ... Python and object-oriented programming Experience with at least one major Python web framework ...

... data, and quality standards Required Qualifications Bachelor's degree in Computer Science ... Python and object-oriented programming Experience with at least one major Python web framework ...

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Python Data Science information

See Ontario salary details

$24.5K

$135K

$206K

How much do python data science jobs pay per year?

As of Jul 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 are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

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 does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

What are typical day-to-day responsibilities in a Python Data Science role?

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.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, due to its extensive libraries such as Pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science field, often complemented by knowledge of SQL and data visualization tools.

What is a Python Data Science job?

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.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
What are popular job titles related to Python Data Science jobs in Ontario? For Python Data Science jobs in Ontario, the most frequently searched job titles are:
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 June 2026, with employment types broken down into 3% As Needed, 53% Full Time, 40% Part Time, 2% Contract, and 2% Nights. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $135,015 per year, or $64.9 per hour.

Full-time

Posted 29 days ago


Job description

Business UnitRegular, Full timeClosing Date: June 30, 2026

The Ontario Securities Commission (OSC) is the statutory body responsible for regulating Ontario's capital markets in accordance with the mandate established in the provincial Securities Act and the Commodity Futures Act. The mandate of the OSC is to provide protection to investors from unfair, improper or fraudulent practices, to foster fair, efficient and competitive capital markets and confidence in the capital markets, to foster capital formation, and to contribute to the stability of the financial system and the reduction of systemic risk. This mandate is performed through policy, operational, and enforcement activities. The OSC also contributes to national and global securities regulation development.

We offer a diverse, fair, and flexible work environment and take pride in our challenging and rewarding work.

Summary

Reporting to the Head of Data Strategy & Analytics, the Senior Data Scientist is accountable for the end-to-end design, delivery, and continuous improvement of advanced analytics and data science solutions. The role operates with a high degree of autonomy, leading complex initiatives, shaping analytics capabilities, and influencing data-driven decision-making across the organization.

This position serves as a subject matter expert, responsible for translating ambiguous business challenges into scalable data solutions, driving innovation, and contributing to the strategic direction of analytics within the OSC.

Key Duties and Responsibilities

Advanced Analytics and Data Science

  • Own and be accountable for the full lifecycle of data science products, including problem framing, design, development, deployment, and post-implementation optimization, ensuring alignment with business priorities and measurable outcomes.
  • Mining, cleaning and delivery of data products to business users with the expertise to write code, analyze and synthesize large data sets
  • Deliver dashboard insights and data science services to all branches at the OSC
  • Define, implement, and continuously enhance analytics standards, methodologies, and best practices across the function.
  • As subject matter expert, participate in code review, knowledge sharing and quality assurance of any deliverable outputs
  • Build and manage senior stakeholder relationships, influencing priorities, shaping requirements, and aligning analytics solutions with organizational objectives.
  • Lead and independently manage multiple complex analytics initiatives, including prioritization, stakeholder alignment, risk mitigation, and delivery against defined outcomes and service level commitments.
  • Architect, test and deliver complex cloud-based analytics in a prototype fashion to establish quick wins and establish business value
  • In-depth knowledge of financial concepts, Securities Act and regulations, and the capital market participants, and their contextual relationship with analytics and data science needs
  • Build and maintain security master databases for various financial instruments including equities, bonds, exchanged traded and OTC derivatives, FX, Interest rate, etc.
  • As a team member in an Agile Framework, lead the Agile ceremonies such as sprint planning, backlog grooming, stakeholder demos and daily scrums
  • Liaise effectively with OSC staff on opportunities to improve analytics and data science support, and work with them to design actionable implementation plans including but not limited to requirement gathering, sprint reviews, demonstrations of capabilities and sustained delivery of end product
  • Provide strategic advisory support to business leaders by identifying opportunities to leverage data and analytics to address regulatory, operational, and policy challenges.
  • Accountable for ensuring analytics solutions deliver measurable business value, including adoption, usability, and impact on decision-making.
  • Provide mentorship, technical guidance, and informal leadership to junior team members, supporting capability development and promoting best practices across the team.

Qualifications

  • Undergraduate degree in STEM programs, including Mathematics, Computer Science, Computer Engineering, Business or other related discipline
  • Master's degree in related discipline preferred but not required
  • 5+ years of relevant experience in Data Science or Advanced Analytics Roles in the capital market industry
  • Experience with Advanced Analytics, Data Science and/or application development
  • Proven track record of contributing to growing teams
  • Expert in Agile Methodologies
  • Demonstrated experience leading complex, ambiguous data science initiatives with minimal supervision
  • Ability to work independently, understand and assess the impacts of daily work
  • Advanced proficiency and experience working with analytics and application development languages, such as Python, R, Scala, Spark, Angular, React JS, PowerBI etc.
  • Ability to develop and deliver effective reports, presentations, briefing notes and papers to management
  • Ability to accurately, thoroughly and efficiently handle/analyze high volumes of data from a variety of sources and formulate data into simple, complete and concise qualitative and quantitative formats
  • Able to work well independently with minimal supervision, and within a team environment
  • Experience mentoring or coaching team members and contributing to team capability development
  • Excellent organization and planning skills, with the ability to anticipate and mitigate business problems and to navigate ambiguity
  • Sophisticated communication skills (verbal and written) to author reports, conduct presentations and to lead information gathering with clients

Grow your career and make a difference working at the OSC.

* OSC Employees: please apply in Workday using the Browse Jobs feature within your Jobs Hub *


We thank all applicants for their interest in the Ontario Securities Commission. We will contact those selected for an interview.

The OSC is committed to diversity and providing an inclusive workplace and providing accommodation in accordance with the Accessibility for Ontarians with Disabilities Act and the Human Rights Code. It is our priority to ensure employment opportunities are visible and barrier-free to all under-represented groups including but not limited to, Indigenous, Black and racialized groups, people with disabilities, women and people from the 2SLGBTQI+ community, to achieve an employee demographic profile reflective of the demographic profile of Ontarians.

The OSC is a proud partner with the following organizations: Ascend Canada, BlackNorth Initiative, Canadian Centre for Diversity and Inclusion, and Pride at Work Canada

If you require an accommodationduringthe recruitment process, please let us know by contacting our confidential inbox HRRecruitment@osc.gov.on.ca.

VisitAccessibility at the OSCto review the OSC's policies on accessibility and accommodation in the workplace.