Data Scientist

Toronto, ON, CAN

Likely evergreen, first seen by us today

Pay: $105,000–215,000/yearAnnual period assumed — pay source
Salary: $105,000.00 - $215,000.00 Pay Type:
Read the full posting
Work setting: Hybrid — work setting source
Data Analytics & Reporting This is a hybrid role in Toronto We are seeking a data scientist to join our team on a 12-month contract to support key machine learning initiative.
Read the full posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll bring

All qualifications

Core experience

Proficiency in both SQL and Big data technologies (Hadoop, Spark)
Experience working in cloud based modeling environment a plus (ie.
Experience in automation and scheduling of data pipeline for end-to-end scoring solutions
Experience developing customer discretionary pricing optimization models is an asset

Qualification wording

Proficiency in both SQL and Big data technologies (Hadoop, Spark)

Experience working in cloud based modeling environment a plus (ie. AWS Sagemaker, AzureML, etc)

Experience in automation and scheduling of data pipeline for end-to-end scoring solutions

Experience developing customer discretionary pricing optimization models is an asset

About Bank of Montreal

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life.

In the employer’s words · Read in context

Apply at Bank of Montreal

Posting record

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Likely evergreenReposted 2 times since Aug 13, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.

Status in our records: Live
First seen by us: Nov 4, 2026today
Recorded sightings: 1
Reposted: 2 times since Aug 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 7 and day 55.

From 10,019 similar postings that came down. Coming down is not always a hire.

Bank of Montreal is hiring

33 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down quickly
12% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SAS
SQL
AWS
Hadoop
SageMaker
Spark

Where the posting names them

- Typically 3+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience. - Strong programming skills in Python or SAS - Proficiency in both SQL and Big data technologies (Hadoop, Spark)

- Strong programming skills in Python or SAS - Proficiency in both SQL and Big data technologies (Hadoop, Spark) - Experience working in cloud based modeling environment a plus (ie. AWS Sagemaker, AzureML, etc)

- Proficiency in both SQL and Big data technologies (Hadoop, Spark) - Experience working in cloud based modeling environment a plus (ie. AWS Sagemaker, AzureML, etc) - Experience in automation and scheduling of data pipeline for end-to-end scoring solutions

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Your next step

Complete your application on bmo.wd3.myworkdayjobs.com. The employer’s form will show what is required.

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Has Bank of Montreal posted this job before?

Yes. We’ve followed 2 other Data Scientist jobs there since August 2026. 2 came down, usually after about 27 days.

TorontoCame down after 12 days, first seen Aug 13
TorontoCame down after 42 days, first seen Sep 18
This jobUp 0 days so far, first seen Nov 4

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Application Deadline:

11/29/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

This is a hybrid role in Toronto

We are seeking a data scientist to join our team on a 12-month contract to support key machine learning initiative.

Responsibilities: Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
Implements changes in response to shifting trends.
Broader work or accountabilities may be assigned as needed.
Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications

Typically 3+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
Strong programming skills in Python or SAS
Proficiency in both SQL and Big data technologies (Hadoop, Spark)
Experience working in cloud based modeling environment a plus (ie. AWS Sagemaker, AzureML, etc)
Experience in automation and scheduling of data pipeline for end-to-end scoring solutions
Experience developing customer discretionary pricing optimization models is an asset

Salary:

$105,000.00 - $215,000.00

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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