1

Python Data Science Jobs in Ontario (NOW HIRING)

... Python, SQL, along with experience using scalable Machine Learning and Cloud frameworks Strong ... strategic data science initiatives. Ability to lead through ambiguity and change Strong ...

Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch ... Experience building data science teams from scratch or through periods of rapid growth * Prior work ...

Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch ... Established product data science roadmap aligned with business priorities; shipped at least one ...

Apply Early

Leverage a broad stack of technologies - Python, AWS, agentic AI, and more - to reveal the insights ... At least 5 years' experience working with or developing data science/machine learning solutions

Senior Manager, Data Science

Toronto, ON · On-site

CA$120K - CA$150K/yr

The Senior Manager, Data Science is responsible for the design and validation of advanced analytics ... Python, R). * Advanced analytical and critical thinking skills. * Strong leadership and people ...

PHP, Javascript, Python, MySQL, VueJS, ElectronJS, Selenium, VMware, AWS. * Creative and motivated ... Data science training or experience with big data analysis and visualization. * Interest and ...

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Apply Early

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Apply Early

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Apply Early

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Apply Early

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Apply Early

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Apply Early

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Apply Early

next page

Showing results 1-20

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.

Freelance Data Scientist, ad hoc

Klick Health

Toronto, ON • Remote

Full-time

Posted 16 hours ago


Job description

Company Description

The Klick Group—comprising Klick Health (including Klick Katalyst and btwelve), Klick Media Group, Klick Applied Sciences (including Klick Labs), Klick Consulting, and Klick Ventures—is an ecosystem dedicated to realizing the full potential of our people and clients in life sciences. Founded in 1997, we have offices in New York, Philadelphia, Saratoga Springs, Toronto, London, São Paulo, and Singapore. Consistently named a Best Managed Company, Most Admired Corporate Culture, and Great Place to Work, Klick is committed to fostering a high-performance, people-first culture with creativity, collaboration, innovation, and impact across everything we do.

About our Consulting Craft
Our Consulting Craft partners with clients on complex business and transformation challenges. The team applies strategic rigor to real-world problems. They help organizations navigate change with clarity and confidence. Their work drives meaningful, long-term impact.

Job Description

As a Freelance Data Scientist, this role supports Klick Consulting by converting complex healthcare, commercial, and marketing data into clear narratives and practical recommendations for clients. The role partners with data scientists, strategists, consultants, and senior stakeholders to define business questions, select appropriate methods, execute analyses, and communicate findings. This freelance position is based in Ontario, is 100% remote, and does not require travel.

Employment type: freelance
Target hours: ad hoc, 20 hours per week, more if possible

What You’ll Do

  • Design data science approaches that balance client business goals with statistical, technical, and data constraints.
  • Python data analysis workflows using tools such as pandas, NumPy, matplotlib/plotly, scikit-learn, SQL, git, and GitHub.
  • Analyze healthcare, marketing, commercial, clinical, or utilization data using methods such as natural language processing and free-text analysis, clustering, geospatial analysis, descriptive statistics, and predictive modeling.
  • Translate technical findings into clear data stories, visualizations, and client-ready recommendations for cross-functional stakeholders.
  • Support and own experimental design, data analysis workstreams, and documentation  across consulting engagements.
Qualifications

Required:

  • Undergraduate degree in a computational, scientific, or health-related field, e.g., statistics, mathematics, bioinformatics.
  • Demonstrated experience analyzing structured or unstructured data, including observable understanding of bias, error, confounding, power, and significance.
  • Hands-on experience using Python data analysis tools such as NumPy, pandas, matplotlib, or scikit-learn, plus SQL for data extraction or analysis.
  • Working familiarity with git, GitHub, and command-line workflows to document and collaborate on analysis scripts.
  • Experience translating technical analysis into written or verbal recommendations for cross-functional stakeholders.
  • Ability to independently scope, execute, and explain smaller analysis workstreams, while collaborating with data scientists,  consultants, and strategists on larger projects.
  • Practical experience using AI tools to accelerate technical work, including validation, maintainability, and reliability.
  • Comfortable working with ambiguous or evolving business questions, making assumptions explicit, and adapting to new context.

Desired:

  • 3+ years of professional experience in analytics, data science, or applied research outside a purely academic context.
  • Experience analyzing real-world data (RWD), e.g., healthcare administrative claims, EHR data, or clinical outcomes.
  • Familiarity with AWS, Google Cloud Platform, Microsoft Azure, or other cloud-based analytics environments.
  • Graduate degree in data science, statistics, bioinformatics, or a related quantitative field.
  • Experience applying advanced analytic methods and technologies to answer business or clinical questions, such as natural language processing, hierarchical Bayesian modeling, Markov chain Monte Carlo, and generative AI.

Additional Information

This posting is for a newly created role at Klick.

The base hourly rate for this position is between CAD $40/hour to $45/hour. The final amount offered will be determined based on several factors such as a candidate's work location, their unique skill set, education, and prior work experience. 

#LI-Remote #LI-ML1

Our Commitment to Inclusion
Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of color, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities. We're also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience.