As of November 7, 2026, Jobsy lists 6 principal data scientist jobs in Canada. The most active employers are Autodesk, AutoTrader.ca and Ethoca Technologies Canada. Skills often requested: sql, python, leadership and scikit-learn.
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Candidates need a master's degree (PhD preferred), proven experience leading data science teams and delivering enterprise AI and ML solutions, and hands-on skill in NLP, computer vision or generative AI. They also need strong Python, SQL, Spark and cloud ML skills, plus experience in regulated industries.
Candidates need a master's or PhD in a quantitative field, strong Python and SQL skills, experience with big data platforms and data science toolkits, and knowledge of statistics and machine learning. They also need reporting and visualization experience and the ability to explain complex topics to technical and non-technical audiences.
10+ YOECandidates need 10+ years of product data science experience with models and experimentation that drove measurable growth, plus a Master's or higher in a quantitative field. Strong SQL and Python, causal inference and AI evaluation skills, and experience influencing senior leaders without direct authority are required.
Forward Financing: Forward Financing is a financial technology company based in Boston, Massachusetts with team members throughout the United States, Dominican…
10+ YOECandidates need over 10 years of hands-on model development, deep credit risk experience in lending or financial services, and expert skills in Python, SQL and Git. A cloud platform such as AWS SageMaker and a degree in a quantitative field are also required, with a Master's or PhD an asset.
Candidates need a master's degree (PhD preferred), proven experience leading data science teams and delivering enterprise AI solutions, and hands-on skill in machine learning, NLP and generative AI. Strong Python, SQL, Spark and cloud experience, plus work in regulated industries, is also required.
10+ YOECandidates need an advanced degree in a quantitative field and 10+ years of applied machine learning experience with models in production. Strong Python, SQL, cloud, MLOps and LLM skills, plus excellent communication and leadership, are required.
Python, SQL, TensorFlow, PyTorch, scikit-learn, Hugging Face