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Posted 2 days ago

Data Scientist

@ Bank of Montreal

Toronto, Ontario

Full-time3+ years experience
Apply now
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Overview

Bank of Montreal is hiring a Data Scientist on a 12-month contract to support a key machine learning initiative. The role builds predictive models and big-data solutions, and analyzes structured and unstructured data to guide business decisions. The role is hybrid in Toronto, with a salary range of $105,000 to $215,000 a year.

Responsibilities:

  • Analyze large structured and unstructured datasets using machine learning and AI
  • Build predictive models and prediction systems
  • Recommend data-driven decisions to business leaders
  • Collaborate with product teams and partners on data strategy
  • Assess feasibility of AI/ML solutions for organization data

Requirements summary:

  • About 3+ years of relevant experience or equivalent education
  • Strong programming skills in Python or SAS
  • Proficiency in SQL and big data technologies (Hadoop, Spark)
  • Experience with cloud modeling environments is an asset
  • Experience automating data pipelines for scoring solutions

Tools & skills

Benefits mentioned

Health insuranceLife insuranceRetirement planTuition support
Source and dates

Employer career site / ATS feed · workday

Employer posting date
2026-11-04
First seen by our source
2026-11-04
Source record updated
2026-11-05

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityMid level
DepartmentData & analytics
Experience3+ years
Hours per week40 (estimated)
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
Perks mentionedRetirement plan, Tuition support, Performance bonus

Summary and details written by AI from the posting; the employer’s posting is the authority.

Bank of Montreal

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Full company description

We’re a bank, but there’s more to it than that. ​ When you join BMO, it opens a world of opportunities. This is a team that's committed to helping you succeed – personally and professionally. Because at BMO, when you grow, we grow. ​ You know your worth and so do we. That’s why we offer the right mix of learning programs, on-the-job experiences, and opportunities to build personal and professional connections – so you can build a meaningful career and thrive as a part of a winning culture.  ​ Sound like your kind of place? Then we should be co-workers.

LinkedIn followers
529,147
People associated on LinkedIn
59,168
Reported office locations
  • First Canadian Place, 100 King Street, Toronto, ON M5X 1A1, CA
  • 111 W Monroe St, Chicago, IL 60603, US
Business categories
  • Wealth Management
  • Finance
  • Banking
  • Financial Services
  • Crowdfunding
Other recorded names
  • Bank of Montreal
  • BMO
Specialties
  • Personal Banking
  • Commercial Banking
  • Wealth Management
  • Capital Markets
  • and Asset Management
Profile identifies a recruitment agency
No
Reported total investment
8,114,072,573

Currency and observation date were not supplied; this is not a current valuation or a funding round.

We’re a bank, but there’s more to it than that. ​ When you join BMO, it opens a world of opportunities. This is a team that's committed to helping you succeed – personally and professionally. Because at BMO, when you grow, we grow. ​ You know your worth and so do we. That’s why we offer the right mix of learning programs, on-the-job experiences, and opportunities to build personal and professional connections – so…

FieldValue
IndustryFinancial Services
Company size10,001+ employees
HeadquartersToronto, ON
Organization typePublic Company
SpecialtiesPersonal BankingCommercial BankingWealth ManagementCapital Marketsand Asset Management
Open jobs on Jobsy960
LinkedInView page
Job description

Application Deadline:

11/19/2026

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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All of CanadaRemote · Hybrid · On-site · Field

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