Machine Learning Intern – Summer 2027

Join one of Montreal’s Top Employers in 2026. We are a leading international banking institution fully committed to building a more sustainable future.

Internship program

As an intern, you will benefit from a 4 months program that aims to give you the tools to develop yourself and discover your potential through customized trainings, networking sessions and transversal projects.

More information about the program available on our website:

BNP Paribas in Canada Students & Young graduates

The position at a glance

The Analytics Lab is BNP Paribas CIB’s center of excellence in artificial intelligence and machine learning, advancing the Bank’s AI transformation through applied research and the development of innovative solutions. As part of the Lab, you will work in a stimulating environment on high-impact projects addressing some of the most pressing challenges in enterprise AI. This internship will give you the opportunity to apply your technical expertise to real-world use cases while continuing to develop your skills alongside experienced AI practitioners.

In detail

During the four-month internship, you will contribute to an applied research project aligned with the Lab’s priorities. These projects explore advanced AI capabilities for our solutions and are designed with the ambition of producing work suitable for a publication at a leading AI conference. Potential topics include agentic AI, AI evaluation, GenAI model specialization, or retrieval-augmented generation (RAG).

The Strengths And Skills That Will Help You Succeed

• Currently enrolled in a Master’s or PhD program at a Canadian university in a quantitative field such as AI/ML, data science, computer science, engineering, operations research, statistics, or applied mathematics.
• Strong analytical and problem-solving skills.
• Hands-on experience contributing to AI projects in Python, gained through internships, professional experience, research, coursework, open-source contributions, or personal projects. Relevant experience may include:
• A portfolio demonstrating projects in agentic AI, generative AI, machine learning, data science, or deep learning.
• Experience with generative AI or agentic frameworks, such as LangChain, LangGraph, Agent Development Kit (ADK), or Hugging Face Transformers, or with machine learning frameworks such as scikit-learn or PyTorch.
• Research presented or published at a leading AI conference or in a leading AI journal.
  
• Practical experience with data analysis and visualization tools, including:
• At least one data analysis or processing technology, such as pandas, Polars, SQL, Spark, or Dask.
• Visualization libraries such as Plotly, Matplotlib, or Seaborn.
  
• Strong written and verbal communication skills in English*. 
• Strong work ethic and the ability to handle confidential information responsibly. 
• Given the vast majority of our clients, both internal and external, are based outside of Quebec and Canada, specific language requirements may apply. Professional working proficiency in English language is required.
  
  

While the description above describes our ideal candidate, we encourage applicants to apply even if they do not fully meet the complete list of qualifications noted

Diversity, Equity and Inclusion (DE&I) at the heart of our commitments

BNP Paribas is committed to fostering a work environment where all employees can feel heard, valued, safe and supported, and can be their authentic selves.

BNP Paribas recruits, employs, trains, compensates and promotes regardless of race, religion, colour, national origin, sex, disability, age, and other protected status (Employment Equity Act and Canadian Human Right Act).

To learn more about our DE&I commitments, click here

About Us

BNP Paribas, the leading bank in the European Union and a major global financial institution, operates in 63 countries and has nearly 178,000 employees. Its mission is to foster a responsible, sustainable economy by financing and advising clients to the highest ethical standards while addressing environmental, regional development, and social inclusion concerns. With over 1,700 employees in Montreal and Toronto, BNP Paribas in Canada strives to develop long-term relationships with its clients by supporting their business strategies and meeting their financing and investment needs, both locally and abroad.

Our certifications and partnerships

Canada’s Top Employers for Young People 2026

Montreal’s Top Employers 2026

Canada’s Best Diversity Employers 2026

Women in Governance Platinum-Parity Certification

LinkedIn Top Companies 2024

What You Need To Know

• BNP Paribas is committed to accessibility and inclusion. During the recruitment process, accommodation needs are available at all times for candidates. You will have the chance to make a request for an accommodation during your application.
• You must be legally eligible to work in the Greater Montreal area and, if applicable, hold a valid work or study permit. Physical presence in BNP Paribas’ office(s) is an essential function of this position;
• If you are applying and accepted to a position which requires working in/for the U.S. securities industry, you will be required to provide your fingerprints and undergo additional background checks by the FBI. BNP Paribas Securities Corporation is required to maintain a supervisory program over the conduct of its Associated Persons; some of your personal data will be transmitted to the United States of America and made available to US regulators. Please reach out to BNPP for additional information; or you can also find an overview here: 3110. Supervision FINRA.org
  
  
  

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