Data Scientist / ML Engineer – Toronto

A Data Scientist / ML Engineer position in Toronto involves developing and managing data pipelines, translating legacy SAS code into scalable PySpark solutions, and collaborating with stakeholders on data integration projects. Candidates will be expected to have skills in Python, PySpark, and data wrangling, with experience in platform modernisation and distributed computing. The role includes designing pipelines, automating models, performing performance optimisation, and maintaining comprehensive documentation. Technical proficiency, problem-solving ability, and effective communication are essential to interpret legacy systems and facilitate migration projects. The position requires familiarity with cloud data platforms, version control, and MLOps practices, supporting complex data environment upgrades.