Senior Data Scientist

BMO; Toronto; Hybrid; CAD 80,000 - 175,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Life insurance

Retirement savings plans

Job summary

We are seeking a Senior Data Scientist at BMO in a hybrid Toronto role to design, develop, and deploy production‑grade ML solutions at scale. You will combine ML/AI expertise with software engineering to deliver enterprise‑class analytics products, mentor teammates, and promote MLOps best practices across teams.

You will lead model development, optimization, and deployment, collaborating with data scientists, engineers, and product partners to drive value and governance.

Qualifications

• Deep understanding of ML and DL algorithms, with model development, validation, optimization, deployment, and monitoring.
• Experience building, deploying, and maintaining production-grade ML solutions at scale.
• Experience developing ML models and evaluating new technologies for data-driven solutions.
• Strong software engineering fundamentals, including Python, algorithms and data structures.
• Experience performing code reviews and promoting coding standards and best practices.
• Hands-on experience with Git, GitHub, and collaborative workflows.
• Excellent communication and teamwork across data science, engineering, product and business.

Skills

ML & DL fundamentals

Production ML at scale

ML model development

Python programming

Code reviews & standards

Git & GitHub

Cross-functional collaboration

Education

Masters or PhD in CS/ML

Tools

AWS SageMaker

PySpark

Lakehouse architectures

Feature stores

MLOps platforms

Job description

Application Deadline: 09/29/2026

Address: 33 Dundas Street West

Job Family Group: Data Analytics & Reporting

This is a hybrid role in Toronto

We are seeking a Senior 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.