RBC is seeking a Staff Data Scientist to lead ML model development for cybersecurity and fraud domains. You will build end‑to‑end data pipelines, mentor junior data scientists, and partner with cross‑functional teams to translate insights into actionable protections for clients and data.
The role demands advanced degrees in quantitative fields and strong Python/PySpark skills, with experience deploying complex ML systems and adapting research into production.
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Staff Data Scientist, Global Cyber Security & ML in Toronto employer: RBC
RBC is an exceptional employer, offering a dynamic work culture that prioritises collaboration and professional growth. With a focus on employee development, the Fund Accountant role provides opportunities to deepen your expertise in fund products while working in the vibrant city of London, known for its financial hub and diverse community. Enjoy a balanced 35-hour work week and the chance to be part of a leading firm that values integrity and excellence.
