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CA
Research Scientist
Chelsea Avondale
Canada
- Full-time
Develop modular, maintainable scientific code in Python, using AI coding tools for development, testing and documentation.
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H
Software Engineer
Highspring
Montreal, QC
- Full-time
We are seeking a Python Software Engineer to join one of our delivery teams working on AI-enabled solutions within a large enterprise environment. In this role, you will play a key part in…
Added just now
RI
Azure Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
We are seeking highly skilled Azure Data Engineer with strong expertise in SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and…
Added 14 mins ago
M
RQ11527 - Middleware Specialist - Senior
Maarut
Toronto, ON
- Contract
experience with scripting and automation (e.g., Shell, Python, Ansible,
Added 14 mins ago
Internal Auditor, Technology Audit & Data Analytics
Gibson Energy
AB · Calgary, AB
Demonstrated hands-on experience with data analytics tools (e.g., SQL, Python, Power BI, ACL/IDEA), including extracting and analyzing ERP data, is required.
Added 14 mins ago
C
Associate Business Systems Analyst
Co-operators
Calgary, AB · Guelph, ON · Regina, SK
- Full-time
…APIs, JSON, Postman, Power BI, or scripting languages such as Python or PowerShell is an…
Added 30 mins ago
PC
Atlassian Architect - Canada FTE
Praecipio Consulting
Remote, Canada
- Full-time
- Remote
Experience with scripting languages (e.g., Groovy, Python) to automate tasks and extend Atlassian tool functionality.
Added 30 mins ago
Staff Platform Engineer, AI
Motive
Vancouver, BC · Toronto, ON
As a Staff Engineer on the Developer Productivity team, you will spearhead the effort to build systems and automation that are the development, build, and delivery backbone of the Motive…
Added 44 mins ago
SI
Artificial Intelligence Engineer
Smart IT Frame LLC
Mississauga, ON
- Full-time
Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
Added 44 mins ago
MC
Senior Software Engineer - Brokerage Platform
Moomoo Canada
Toronto, ON · North York, ON
- Full-time
Strong backend software development experience in one or more major programming languages such as Java, C++, Go, Python or similar languages
Added 44 mins ago
GE
Internal Auditor, Technology Audit & Data Analytics
Gibson Energy
Calgary, AB
- Full-time
Demonstrated hands-on experience with data analytics tools (e.g., SQL, Python, Power BI, ACL/IDEA), including extracting and analyzing ERP data, is required.
Added 44 mins ago
B
Sr Application Software Developer
BMO
Toronto, ON · SCC
- Full-time
…deliver high-quality software solutions. The Senior Full Stack Developer will design, build, and maintain scalable, secure, cloud-native applications leveraging AWS services, backend…
Added 44 mins ago
RU
Senior Associate - Identity and Access Management
RSM US LLP
Toronto, ON
- Full-time
Development or scripting experience with relevant technologies such as Java, BeanShell, PowerShell, Python, JavaScript, XML, JSON, or REST APIs.
Added 59 mins ago
CT
Senior BI Analyst
Canadian Tire Corporation
Oakville, ON · Toronto, ON
- Full-time
Design, develop, and maintain automated data pipelines and curated analytical datasets using SQL, Python/PySpark, and cloud-based analytics platforms.
Added 1 hour ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Server-side languages: C#/.NET, Java, Python, PHP
Added 1 hour ago
O
Lead UX Developer (React)
OpenText
Waterloo, ON
- Full-time
As an experienced Software Developer, your extensive skills beyond the core set listed above (due to previous roles and other technology) can also be an asset and a differentiator.…
Added 1 hour ago
HA
Senior Data Analyst
HR Associates
Toronto, ON
- Temporary
Use Python, SQL and Power BI to analyze data, identify trends and develop reports and visualizations.
Added 1 hour ago
SI
Data Analyst
Spait Infotech
Canada
- Full-time
Added 1 hour ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Experience with C# compliant languages such as C, Java, and Python -Experience with Modbus , Ethernet, EtherCAT
Added 1 hour ago
IS
Junior Software Engineer
Iris Software Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…candidate should have knowledge of programming languages such as Python, Java, or C#, understanding of software engineering fundamentals, and a passion for learning emerging AI…
Added 1 hour ago
C(
Senior Software Engineer, Agentic Systems
CareLink (by Asepha)
Toronto, ON
- Full-time
Proficiency in Python or TypeScript and deep knowledge of backend fundamentals: APIs, data stores, concurrency, distributed systems
Added 1 hour ago
Information Systems Analyst
Hatch
Mississauga, ON
Added 1 hour ago
E
Senior Manager, Digital Strategy & Operations
Equinix
Toronto, ON
- Full-time
Working knowledge of scripting or integration tools (for example, Python, APIs, or workflow automation platforms)
Added 1 hour ago
M
RQ11656 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
Proficiency in programming languages such as Java, Python, C#, or JavaScript.
Added 1 hour ago
Senior Technical Specialist
Insurance Corporation of British Columbia
North Vancouver, BC

BMO

Staff Data Scientist

Toronto, ON, Canada
BMOPLACE, Canada

$80,000.00 - $175,000.00 · Full-time

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Job details

Pay: $80,000.00 - $175,000.00
Job type: Full-time
Apply by: Nov 15, 2026
Experience: 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.
Posting language: English
Posted: Oct 30, 2026

Original job description

Application Deadline:

11/14/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

This is a hybrid 12 month contract role in Toronto

We are seeking a Staff 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.

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More about this job

Responsibilities

The Staff Data Scientist will develop and deploy production-grade machine learning solutions to generate actionable business insights. They will also provide technical leadership by mentoring team members and promoting software engineering best practices across the organization.

Requirements

Candidates must have deep expertise in machine learning algorithms and strong software engineering fundamentals, particularly in Python. A minimum of 5-7 years of relevant experience is typically required, along with proficiency in collaborative development workflows.

Skills

Machine learning
Deep learning
Artificial intelligence
Python
Software engineering
MLOps
Data structures
Algorithms
Git
GitHub
Model development
Model validation
Model optimization
Technical leadership
Mentoring
Code reviews

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

Machine Learning
Deep Learning
Artificial Intelligence
Python
Software Engineering
MLOps
Data Science
Git
GitHub
AWS
SageMaker
Lakehouse
PySpark
Feature Stores
Fintech
Banking
Technical Leadership
Mentoring
Code Reviews
Production-grade
Data Analytics
Model Deployment
Model Monitoring
Algorithms
Data Structures
Computer Science
Statistics
Mathematics
Research
Enterprise-grade

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