Skip to main content
Post your resume and find your next job on Indeed!

Dundas Data jobs

Sort by: -
    • Strong software engineering fundamentals, including advanced Python development, algorithms, and data structures.
    • View all BMO Financial Group jobs - Toronto jobs
    • Salary Search: Senior Data Scientist salaries in Toronto, ON
    • See popular questions & answers about BMO Financial Group
    • Gathers and formats data into regular and ad-hoc reports, and dashboards.
    • Breaks down strategic problems, and analyses data and information to provide insights…
    • We are looking for a Senior Manager, Product Owner who will be responsible for developing and delivering the full product development lifecycle—from setting…
  • View similar jobs with this employer
    • Search for information and enter data in computer programs and databases.
    • Court and Client Representative (irregularly scheduled hours and on-call contracts).
    • University food services, administration, and a student residence.
    • 3.0 Hours/Term Performing invigilation duties for mid-term or final exams as required.
  • View similar jobs with this employer
    • Research, information synthesis and data analysis.
    • Designs and facilitates research programs,analyzes data to deliver unique insights.
  • View similar jobs with this employer
    • Proven experience leading the delivery of complex machine learning, AI, data, or cloud technology initiatives within enterprise environments.
  • View similar jobs with this employer
    • Grounding in Responsible AI, AI/data governance, privacy, cloud security, and IAM as applied to AI workloads.
    • Observability & Audit — a multi-pipeline telemetry…
    • Formulates techniques for effective data management, quality data collection to ensure adequacy, accuracy and legitimacy of data.
    • Good understanding of secure software design, including authentication, authorization, encryption, secrets management, and data protection.
    • Aligned with the principles outlined in Canada's Artificial Intelligence and Data Act (AIDA), we take a proactive approach to ensuring that any AI or data-…
  • View similar jobs with this employer
    • Check fuel level and warning lights: inspect windshield for damage; factory reset/restore vehicle setting to clear prior customer data; check for customer items…
    • Breaks down strategic problems, and analyses data and information to provide program insights and recommendations.
    • This is a 1-year Contract Role.
    • In-depth technical proficiency in data analytics and reporting tools, including Python, SQL, Power BI, or equivalent platforms.
    • Ensure Azure solutions comply with security, privacy, data governance, and regulatory requirements.
    • You will work in agile, cross‑functional pods with cloud…
Get e-mail updates for the latest Dundas Data jobs

By creating a job alert, you agree to our Terms . You can change your consent settings at any time by unsubscribing or as detailed in our terms.

Career Resources:

BMO Financial Group logo
Senior Data Scientist
BMO Financial Group
·
3.6
Toronto, ON
•
Hybrid work
$80,000–$175,000 a year
Full-time
Apply on company site

Job details

Here’s how the job details align with your profile.

Pay

$80,000–$175,000 a year

Job type

Full-time

Benefits

Pulled from the full job description
Tuition reimbursement
Life insurance

Full 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.

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.

Let Employers Find YouUpload Your Resume