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Data Analytics & Project Management Intern

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Data Analytics & Project Management Intern

  • Trainee / Internship
  • Full time
  • Montreal, Quebec, Canada
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Last update 25.03.2026
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In a changing world, unprecedented challenges require unmatched talent. Join one of Montreal's Top Employers in 2025. We are a dynamic and growing organization having its main establishment located in downtown Montreal and part of a leading international banking institution fully committed to building a more sustainable future. Note that the position may be in the Canadian Branch of BNP Paribas or in one of its subsidiaries based in Montreal.

Internship program

As an intern, you will benefit from a 4 month 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

This internship offers a dual experience: contributing to both general project management and the implementation of AI solutions within the North America Finance and Tax department. As an intern in the Finance COO Office, you will work closely with business teams, business analysts, and external partners. You will be exposed to all stages of project execution, from initial setup to delivery. In addition, you will join the Finance Data Office (FDO), supporting the development and deployment of AI and machine learning solutions to improve operations, client knowledge, and risk management.

Please note that this is a 6 months long internship.

In detail

Finance Data Office (FDO) is the center of excellence in AI/Machine Learning within Finance COO Office serving the North America Finance and Tax Department. The team sits across the US, Canada and India, working closely with our internal clients to provide innovative and tailor-made AI solutions to improve our client knowledge, operations and reduce risks.  The FDO is also part of the global Finance AI network with teams in Madrid, Paris, and Mumbai for the creation and adaptation of AI solutions for world-wide Finance and Solutions.

In Canada, the team is located in downtown Montreal, at the heart of a thriving ecosystem of startups, world-class academic institutions, and talented workforce.  

If you are a bright and passionate Gen AI and Machine Learning expert looking for a great opportunity to advance your career, if you are a team player who strives for engineering and technical excellence and enjoys in bringing innovation in a fast-paced environment, we have a perfect job for you! 

We are looking for a Data Analytics & Project Management Intern to join our dream team! We offer excellent development prospects and the ability to develop your skills to the highest level in our team.

  • Project Governance Monitoring: Populate dashboards (Kanbans, deliverables), prepare project reviews for steering and operational committees.
  • Planning & Reporting: Update schedules, consolidate task progress, identify gaps, and propose corrective actions.
  • Risk & Issue Management: Inventory, qualify, and track risks and problems; maintain the issues log and prepare mitigation plans.
  • Continuous Improvement: Propose PMO process enhancements, contribute to tool and template updates, and participate in best practice workshops.
  • AI Solution Implementation: Support the design, development, and deployment of AI and machine learning solutions; contribute to data science projects using Python and relevant libraries; collaborate with internal clients across the US, Canada, and India.
  • Data Analysis: Perform advanced analysis using Excel, Python, and SQL; create and present insights to department management.
  • Communication: Draft clear meeting minutes, executive summaries, and PowerPoint presentations; lead status review meetings and communicate with stakeholders.

Work conditions: This position provides for standard working conditions in an office and a normal work schedule from Monday to Friday. This position requires little travel.

The strengths and skills that will help you succeed

  • Project Management: Familiarity with project management frameworks and methodologies.
  • Data Science & AI: 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) and/or GenAI/Agentic frameworks (e.g., transformers, langchain/langgraph, OpenAI Agents SDK). 
    • Command of at least one data analysis and processing library (e.g., pandas, SQL). 
    • Experience with visualization libraries (matplotlib, seaborn, plotly).  
    • Agentic AI process / pipeline designing
  • Technical Proficiency: Advanced Excel (pivot tables, VLOOKUP, macros), PowerPoint, JIRA (a plus), collaborative platforms (SharePoint, Teams).
  • Communication: Strong written and oral skills in English and French.
  • Analytical Mindset: Attention to detail, ability to manage conflicting priorities, and proactive problem-solving.
  • Teamwork & Autonomy: Ability to work collaboratively and independently, knowing when to seek support.
  • Ethics & Confidentiality: Strong work ethics and respect for confidentiality rules.

Education:

Student 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). Academic internships or projects in which you produced dashboards, progress reports or managed a schedule are a plus

Language: Professional working proficiency in English

*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. 

What’s in it for you

In addition to competitive compensation, hybrid work arrangements are available for most positions. In-office presence is required a minimum of 3 days per week, one of which must be on a Monday and/or a Friday. BNP Paribas provides excellent training and personal development programs, as well as opportunities for career development within the company and internationally.

What you need to know

  • We will review candidates as they apply, so don’t wait to submit your application;
  • 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

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

  • At BNP Paribas all employees are on an equal footing allowing us to create a work environment that values and respects people for their talents, skills and competences.
  • 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 is the top bank in the European Union and a major international banking establishment. Present in 63 countries, with more than 180,000 employees, the bank holds key positions in several areas of banking and financial services.

BNP Paribas’ mission is to contribute to a responsible and sustainable economy by financing and advising its clients according to the highest ethical standards, while striving to respond to essential concerns in terms of the environment, regional development and social inclusion.

Since 1961, BNP Paribas has supported large Canadian companies and institutions in their business development by offering a full range of specialized financial services and investment products.

With over 1,400 employees, BNP Paribas in Canada continues to attract experts from diverse fields as well as ambitious young talent from around the world. We are proud to offer our employees a rewarding and international workplace where they can build their professional careers by honing their skills, meeting challenges and enriching their knowledge of the financial industry.

Our certifications and partnerships

  • Montreal’s Top Employers 2025
  • Canada’s Best Diversity Employers 2025
  • Women in Governance  – Parity certified -  Platinum certification
  • Pride at Work Canada
  • Part of Les Affaires top 300 companies in Quebec
  • Synclusiv
  • Ready, Willing and Able 
  • Autisme sans Limites 
  • LinkedIn Top Companies 2024

Do you want to discover other BNP Paribas offers in Canada?

Click here: BNP Paribas in Canada Our job offers

*** 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***

The strengths and skills that will help you succeed

List of required competencies

Education: 

Years of experience: 

Languages: 


Technical skills: 

Soft skills: 

*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. OR Professional working proficiency in French and English languages are required.