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Montreal, Quebec, Canada

Internship

Hybrid

Intern

BNP Paribas is a leading international banking institution committed to building a more sustainable future. They are seeking a Machine Learning Intern to join their Analytics Lab, which focuses on providing AI solutions to enhance client operations and reduce risks. The internship offers an opportunity for personal development through training and collaboration with a global team.

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Responsibilities

Qualification

Required

Enrolled in a Master’s degree program in a top Canadian University in a quantitative field (e.g., Computer Science, Engineering, Operations Research, Statistics, or Mathematics).
Strong problem-solving and analytical skills.
Very good communication skills in English (written and oral).
Hands-on experience contributing to data science, machine learning, deep learning, or GenAI projects in Python. Could be during past internships/work experience, for class projects, contributing to an open-source project, or for personal projects.
Demonstrable portfolio of data science / machine learning projects.
Hands-on experience with machine learning frameworks (e.g., scikit-learn, PyTorch) and/or GenAI/Agentic frameworks (e.g., transformers, langchain/langgraph, llamaindex, OpenAI Agents SDK, crewAI).
Command of at least one data analysis and processing library (e.g., pandas, SQL, Spark, Dask).
Experience with visualization libraries (matplotlib, seaborn, plotly).
Strong work ethics and ability to deal with confidential information.
Knowledge of French and English is required.

Preferred

Benefits

Competitive compensation
Hybrid work arrangements are available for most positions
Excellent training and personal development programs
Opportunities for career development within the company and internationally

BNP Paribas is a financial service company that offers commercial, banking, and investment services. It is a sub-organization of Opera Tech Ventures.

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