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Added 1 month ago
Senior Forward Deployed Engineer (Gemini Enterprise)
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…analysts, and digital experts to solve complex business challenges with pragmatic, production-ready…
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Senior Design Verification Engineer
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Added 2 months ago
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BNP Paribas

Data Scientist

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 15, 2026
Posting language: English
Posted: Aug 10, 2026

Original job description

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.

The position at a glance

The Analytics Lab is BNP Paribas CIB’s center of excellence in AI/Machine Learning, responsible for spearheading the bank’s AI transformation initiatives. If you strive for technical and engineering excellence and are excited to work directly with our internal clients to help them reach their AI ambitions, this is the perfect job for you! You’ll join a stimulating work environment, tackling high-impact projects where you’ll have the chance to showcase your technical expertise and further develop your skills.

In detail

The role of AI/ML Specialist involves the following responsibilities:   

Design, implement, and rigorously evaluate AI/ML solutions that are aligned with the bank’s overall strategy and goals.
Work with the business to translate their requirements into high-impact AI/ML solutions. 
Stay current with the latest technical developments in the fields of GenAI, AI, and ML and identify opportunities to apply those at the bank.
Communicate technical concepts and results to non-technical stakeholders in a clear and concise manner. 
Collaborate with internal clients to identify new opportunities for ML applications and models. 
Work with Application Development teams to deploy and support ML models in production environments.

The Strengths And Skills That Will Help You Succeed

Master’s degree or above in a quantitative field (e.g., Computer Science, Engineering, Operations Research, Statistics, or Mathematics).
Professional working proficiency in English language is required
Strong problem-solving and analytical skills.   
Hands-on experience contributing to data science, machine learning, deep learning, or GenAI projects in Python. In particular :
- 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). 
Experience with version control (git), Linux environment, and command-line interfaces. 
Given the vast majority of our clients, both internal and external, are based outside of Quebec and Canada, specific language requirements may apply. Knowledge English and French is required.
Strong work ethic and ability to deal with confidential information

Nice-to-have Qualifications:

Experience with Natural Language Processing (NLP). 
Experience with modern RAG techniques. 
Experience parsing complex documents. 
Experience in deploying models to production. 
Experience with CI/CD pipelines (GIT, Jenkins, …) and MLOps (MLFlow). 
Experience with containerization techniques (Docker & Kubernetes). 
Experience with mentoring junior team members. 
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, we offer flexible benefits including a family and spouse insurance program, a defined contribution pension plan and paid days for volunteering. 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.

To find out more about our range of benefits, click here

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***

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More about this job

Responsibilities

Design, implement, and evaluate AI/ML solutions aligned with the bank's strategy while translating business requirements into high-impact technical solutions. Collaborate with internal clients and application development teams to deploy and support ML models in production environments.

Requirements

Requires a Master's degree or higher in a quantitative field and professional proficiency in English and French. Candidates must have hands-on experience with Python, ML frameworks, and data processing libraries, with a demonstrable portfolio of projects.

Skills

Python
Machine Learning
Deep Learning
Generative AI
Scikit-learn
PyTorch
Pandas
SQL
Spark
Dask
Matplotlib
Seaborn
Plotly
Git
Linux
Natural Language Processing

Benefits

Family and Spouse Insurance Program
Paid Days for Volunteering
Training and Personal Development Programs
Career Development Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Agentic Frameworks
Transformers
Langchain
Langgraph
LlamaIndex
OpenAI Agents SDK
CrewAI
RAG
NLP
MLOps
MLFlow
Docker
Kubernetes
CI/CD
Jenkins
Banking
Data Science
Artificial Intelligence
Machine Learning

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