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Added 5 mins ago
TH
Critical Incident Mental Health Provider (Contract Position)
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HT
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- Full-time
…creating a safe and healthy workplace? As the Health and Safety Manager , you will oversee occupational health and safety programs, analyze trends and ensure compliance with regulations to…
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Health & Safety Manager
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TD
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IR
Dietary Aide
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Gimli, MB
- Full-time
Under the direction of the Manager, Support Services and Cook, the Dietary Aide performs the assigned duties related to the preparation and service of food to patients/ residents, staff,…
Added 5 mins ago
IR
Housekeeping Aide
Interlake-Eastern Regional Health Authority
Fisher Branch, MB
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Under the direction of the Manager, Support Services and/or Lead Hand the Housekeeping Aide performs the assigned duties in accordance with established work schedules, policies and…
Added 5 mins ago
IR
Dietary Aide
Interlake-Eastern Regional Health Authority
Eriksdale, MB
- Full-time
Under the direction of the Manager, Support Services and Cook, the Dietary Aide performs the assigned duties related to the preparation and service of food to patients/ residents, staff,…
Added 5 mins ago
IR
Housekeeping Aide
Interlake-Eastern Regional Health Authority
Eriksdale, MB
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Under the direction of the Manager, Support Services and/or Lead Hand the Housekeeping Aide performs the assigned duties in accordance with established work schedules, policies and…
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IR
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BMO

Data Scientist

Toronto, ON, Canada
BMOPLACE, Canada

$105,000.00 - $215,000.00 · Full-time

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Job details

Pay: $105,000.00 - $215,000.00
Job type: Full-time
Apply by: Nov 30, 2026
Experience: Typically 3+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
Posting language: English
Posted: Nov 4, 2026

Original job description

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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More about this job

Responsibilities

Develop and deploy machine learning and predictive modeling solutions by analyzing large structured and unstructured datasets, building data processes, and automating end-to-end scoring pipelines. Partner with analytics, product, and business teams to turn insights into recommendations and scalable solutions that improve decisions, customer experience, and productivity.

Requirements

Typically requires at least three years of relevant experience or an equivalent combination of education and experience, along with strong Python or SAS programming skills and proficiency in SQL and big data technologies such as Hadoop and Spark. Experience with cloud modeling platforms, automated data pipelines, and customer discretionary pricing optimization is an advantage.

Skills

Python
SAS
SQL
Machine Learning
Deep Learning
Artificial Intelligence
Big Data Technologies
Hadoop
Spark
Cloud-Based Modeling
AWS SageMaker
Azure Machine Learning
Data Pipeline Automation
Predictive Modeling
Data Mining
Pricing Optimization

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

Data Science
Machine Learning
Deep Learning
Artificial Intelligence
Python
SAS
SQL
Hadoop
Spark
AWS SageMaker
Azure Machine Learning
Big Data
Predictive Modeling
Machine Learning Algorithms
Data Mining
Structured Data
Unstructured Data
Data Pipelines
Pipeline Automation
End-to-End Scoring
Cloud-Based Modeling
Pricing Optimization
Customer Analytics
Data Analytics
Business Intelligence
Data-Driven Decision-Making
Risk Management Framework
Consumer Trends

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