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Senior Python Data Science Jobs in Toronto, ON (NOW HIRING)

Qfin

Data Scientist

Toronto, ON · On-site +1

Role Overview As a Senior Credit Risk Modeling - Data Science, you will be an individual ... Proficiency in programming languages such as Python, R, or SAS; SQL experience essential. * Solid ...

New

Intact Financial

Senior Data Scientist

Toronto, ON · Hybrid

Lead and enforce data science best practices: coding, peer-review, experimentation and testing ... Python, GitHub, AWS, and CI/CD tools. * Expert-level understanding of the underlying theory of ...

McKesson

Sr. Data Scientist

Mississauga, ON · On-site +1

... science experience delivering models to production with measurable business impact; 4+ years ... Expert in Python and SQL;proficiencywithPySpark; experience with Azure ML,MLflow, model registries ...

McKesson

Sr. Data Scientist

Mississauga, ON · On-site +1

... science experience delivering models to production with measurable business impact; 4+ years ... Expert in Python and SQL;proficiencywithPySpark; experience with Azure ML,MLflow, model registries ...

Td

Data Scientist III

Toronto, ON · On-site

CA$96K - CA$136K/yr

... Senior Manager, Data Science. As a Data Scientist in Real Estate Secured Lending, you will be ... Use programming languages (Python, Pyspark, SQL) to extract and prepare data, apply statistics and ...

Autodesk

Senior Data Scientist

Toronto, ON

CA$107K - CA$156K/yr

The ideal candidate combines strong statistical foundations with production-level fluency in Python ... Key Qualifications * 5+ years of experienceand a graduate degreein data science,computer science ...

Td

Data Scientist II

Toronto, ON

CA$81K - CA$115K/yr

... Senior Manager, Data Science. As a Data Scientist in Real Estate Secured Lending, you will be ... Use programming languages (Python, Pyspark, SQL) to extract and prepare data, apply statistics and ...

Spgi

Senior Data Scientist

Toronto, ON · On-site

CA$90K - CA$160K/yr

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and ... Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, ...

Spgi

Senior Data Scientist

Toronto, ON

CA$90K - CA$160K/yr

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and ... Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, ...

S&P Global

Senior Data Scientist

Toronto, ON · On-site

CA$90K - CA$160K/yr

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and ... Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, ...

S&P Global

Senior Data Scientist

Toronto, ON

CA$90K - CA$160K/yr

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and ... Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, ...

Manulife

Data Scientist

Toronto, ON · On-site

This role blendsLLM application engineering, applied data science, anddata engineering fundamentals ... Strong programming skills in Python; advanced SQLproficiency; Java experience is asset. * Advanced ...

McKesson

Senior Data Scientist

Mississauga, ON · On-site +1

CA$89K - CA$149K/yr

... science and applied AI/ML roles * Strong background in forecasting, classification, anomaly ... Clearly demonstrated experience working with Python, SQL * Solid understanding of modern digital ...

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Senior Python Data Science information

What is the difference between Senior Python Data Science vs Data Analyst?

AspectSenior Python Data ScienceData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentData science teams, R&D, product developmentBusiness units, reporting, operational analysis
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Senior Python Data Scientists focus on advanced analytics, machine learning, and building predictive models using Python, often working in R&D or product teams. Data Analysts primarily handle data reporting, visualization, and basic statistical analysis to support business decisions. While both roles require data handling skills, Senior Python Data Science roles demand deeper technical expertise and experience with complex algorithms.

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Senior Python Data Science jobs near you

Data Scientist

Qfin

Toronto, ON • On-site, Remote

Other

Posted yesterday

Job description

Role Overview

As a Senior Credit Risk Modeling – Data Science, you will be an individual contributor responsible for developing, validating, and maintaining predictive credit risk models for our unsecured personal lending products. You will work closely with data science, risk, and business teams to optimize risk strategies and enhance the overall credit decisioning framework.


Key Responsibilities

  • Lead the development of credit risk predictive models (e.g., PD, LGD, EAD, propensity to default, credit scoring models) for lending business.
  • Conduct in-depth data analysis and feature engineering using internal and external data sources to improve model performance.
  • Validate, back-test, and monitor existing credit risk models to ensure predictive accuracy and regulatory compliance.
  • Partner with business and operations teams to integrate model outputs into lending strategies and decisioning processes.
  • Develop and maintain documentation for model development, validation, and governance purposes in line with regulatory expectations.
  • Provide insights on portfolio risk trends, early warning indicators, and potential loss drivers.
  • Mentor junior analysts and contribute to building a strong modeling and analytical culture within the team.


Required Qualifications & Experience

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Data Science, or a related quantitative field.
  • 5–7 years of experience in credit risk modeling within a lending environment.
  • Strong expertise in statistical modeling, machine learning, and predictive analytics (e.g., logistic regression, decision trees, gradient boosting, neural networks).
  • Proficiency in programming languages such as Python, R, or SAS; SQL experience essential.
  • Solid understanding of credit risk concepts, portfolio management, and lending business processes.
  • Excellent problem-solving, communication, and stakeholder management skills. Preferred Skills


Preferred

  • Experience with cloud-based data platforms or modern analytics tools.
  • Familiarity with alternative data usage in credit risk models.
  • Exposure to model governance and audit processes in regulated financial institutions.
  • Experience with model validation frameworks and regulatory compliance requirements in Canada (OSFI) or equivalent international standards.


What We Offer

  • Competitive base salary + performance bonus + equity package.
  • Fast-growth startup environment with direct impact on product and P&L.
  • Flexible work model (hybrid/remote options).
  • Learning budget, health benefits, and team culture focused on data and innovation.

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