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Data Scientist Co-op

CIBC

Salary not specified
Sep 23, 2025
Toronto, Ontario, Canada
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CIBC is looking to leverage advanced analytics and AI to solve real-world business problems by developing and implementing predictive models and AI solutions.

Requirements

  • Knowledge of traditional AI/ML techniques in prediction, classification, forecasting, optimization, Natural Language Processing (NLP).
  • Familiarity or experience with modern data science, machine learning and AI/ML toolkits, such as Pandas, scikit-learn, XGBoost, spaCy, Keras & Huggingface/Transformers.
  • An understanding of GenAI and LLMs with a working knowledge of fine-tuning, RAG patterns, agentic workflows.
  • Familiarity of API frameworks, such as Flask and FastAPI, as well as containerization technologies, such as Docker.
  • Knowledge of operations based use cases involving document extraction & OCR is a big asset.
  • Working knowledge of Azure based cloud AI services and frameworks.

Responsibilities

  • Apply AI & ML to solve real-world problems
  • Utilize your knowledge in statistics, machine learning and/or optimization to frame business problems in a data science context.
  • Build data products by writing code that is modular, reliable, maintainable & replicable.
  • Collaborate with data experts to learn about data and engineer relevant features.
  • Effectively collaborate with other data scientists and engineers to work together and build data products.
  • Conduct research, developing processes and guidance, and educating others on the responsible and ethical use of AI.

Other

  • Currently enrolled in post-secondary education and returning to full-time studies.
  • Utilize a consulting mindset when engaging with our partners.
  • Work closely with our business partners to understand their challenges by asking the right questions to gather information.
  • Put in the effort to understand the business problem and to answer any questions and concerns brought up by our partners.
  • Remain intellectually curious with a drive to constant improve our techniques and approaches to AI/ML problems.
  • Exceptional critical thinking, problem solving, and decision making skills with demonstrated ability to independently identify and analyze problems and recommend solutions.
  • Passionate about the responsible and ethical use of AI to benefit society.