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Added 10 mins ago
Accounts Payable Associate
Sonepar
Vaughan, ON
…an Accounts Payable Associate, reporting to the AP Finance Manager. This person will be part of a 20+ AP team providing shared services for multiple companies in a fast-paced…
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IS
Project Manager
Information Services Corporation ISC
Regina, SK
- Full-time
We are seeking a Project Manager to lead project-based initiatives that help shape the future of our organization.
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Manager, Application Security
The Canada Life Assurance Company
Toronto, ON
The Manager, Application Security will lead the organization’s application security program, ensuring secure design, development, and deployment of applications. This role requires deep…
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Regional Human Resources Manager
Grand Villa Casino
Burnaby, BC · Delta, BC · New Westminster, BC
- Full-time
The Regional Human Resources Manager position calls for an engaged professional individual with a solid track record, and strong sense of judgment and logic. This position works at a casino…
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Account Executive, National Sales
Bell
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Registered Practical Nurse - Emergency Department
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Registered Practical Nurse - Critical Care
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BMO

Staff Data Scientist

Toronto, ON, Canada
BMOPLACE, Canada

$80,000.00 - $175,000.00 · Full-time

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Job details

Pay: $80,000.00 - $175,000.00
Job type: Full-time
Apply by: Nov 15, 2026
Experience: Typically 5-7 years of relevant experience and a post-secondary degree in a related field of study, or an equivalent combination of education and experience.
Posting language: English
Posted: Oct 30, 2026

Original job description

Application Deadline:

11/14/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

This is a hybrid 12 month contract role in Toronto

We are seeking a Staff Data Scientist who combines deep expertise in machine learning with strong software engineering skills and experience building and deploying production-grade ML solutions at scale. In this role, the candidate will leverage advanced machine learning, deep learning, and artificial intelligence techniques to develop models that analyze large volumes of structured and unstructured data, generating actionable insights and business value. The successful candidate will collaborate closely with data scientists, engineers, and analytics teams to optimize, refine, operationalize, and scale analytical solutions into robust, enterprise-grade products.The ideal candidate will also be a technical leader who can mentor team members, promote software engineering and MLOps best practices, improve code quality through design and code reviews, and help drive technical excellence across the team.

Mandatory Qualifications

Deep understanding of machine learning and deep learning algorithms, including model development, validation, optimization, deployment, and
and monitoring.
Experience building, deploying, and maintaining production-grade ML solutions at scale.
Experience developing machine learning models, and evaluating emerging technologies and tools to deliver innovative data-driven solutions for business stakeholders.
Strong software engineering fundamentals, including advanced Python development, algorithms, and data structures.
Experience performing code reviews and promoting coding standards, software design principles, and engineering best practices.
Hands-on experience with Git, GitHub, version control, and collaborative software development workflows.
Strong communication and collaboration skills, with the ability to work effectively across data science, engineering, product, and business teams.

Preferred Qualifications (Nice to Have)

Experience with AWS, SageMaker Unified Studio, lakehouse architectures, PySpark, feature stores, and MLOps platforms.
Previous experience in banking, fintech, or other highly regulated industries.
Technical leadership or people management experience, including mentoring and leading cross-functional teams.
Master's or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related field. Research experience and publications at top-tier conferences such as NeurIPS, ICML, ICLR, KDD, or equivalent venues.
Typically 5-7 years of relevant experience and a post-secondary degree in a related field of study, or an equivalent combination of education and experience.

Salary:

$80,000.00 - $175,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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More about this job

Responsibilities

The Staff Data Scientist will develop and deploy production-grade machine learning solutions to generate actionable business insights. They will also provide technical leadership by mentoring team members and promoting software engineering best practices across the organization.

Requirements

Candidates must have deep expertise in machine learning algorithms and strong software engineering fundamentals, particularly in Python. A minimum of 5-7 years of relevant experience is typically required, along with proficiency in collaborative development workflows.

Skills

Machine learning
Deep learning
Artificial intelligence
Python
Software engineering
MLOps
Data structures
Algorithms
Git
GitHub
Model development
Model validation
Model optimization
Technical leadership
Mentoring
Code reviews

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Deep Learning
Artificial Intelligence
Python
Software Engineering
MLOps
Data Science
Git
GitHub
AWS
SageMaker
Lakehouse
PySpark
Feature Stores
Fintech
Banking
Technical Leadership
Mentoring
Code Reviews
Production-grade
Data Analytics
Model Deployment
Model Monitoring
Algorithms
Data Structures
Computer Science
Statistics
Mathematics
Research
Enterprise-grade

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