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A Canadian technology firm is seeking a Data Scientist to develop and implement ML/AI algorithms focused on predictive modeling for clients. You will work extensively with SQL and Python to build data pipelines, drive analytics projects, and collaborate with external vendors on significant models. Ideal candidates are proactive problem solvers with expertise in economics and data science who thrive on challenges and creating value for clients.
You will develop and deploy ML/AI algorithms to build/implement predictive models about ATB clients and optimize team or organizational decision making. You’ll spend lots of time hand‑on‑keyboard writing code, building data pipelines and researching analytics techniques and understanding business processes. There will be additional time spent working with our external vendors at Moody's Analytics as the primary model up for development here is developed by them. Data Scientists at ATB are proactive, driven, adaptable problem solvers, who need to power through interesting challenge after interesting challenge to create value for our clients.
As part of the Dual Risk Rating Project, the individuals in this position will focus on the downstream impacts of the project including the implementation/development of Moody's portfolio studio for stress testing purposes