Data Scientist / ML Engineer – Toronto

This role involves developing data pipelines with Python and PySpark, translating legacy SAS code, and optimising distributed data processing environments. The candidate will establish and manage Python environments, collaborate with stakeholders, and ensure quality assurance through rigorous testing. Technical skills required include programming in Python and PySpark, SQL, and experience with cloud platforms and version control. The position requires interpretation of legacy SAS code, building feature engineering pipelines, and adapting to new data platforms. Strong problem-solving, communication skills, and experience with data governance are preferred. The role is suitable for professionals in data science, software engineering, and data engineering fields who thrive in dynamic, regulated environments.