Data scientist jobs in Vaughan, ON and nearby

Data scientist jobs within 25 km of Vaughan, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 3, 2026

Hiring at a glance

View jobs

Open jobs: 471
Employers: 218

Advertised starting pay

Average starting payCAD / year: $133,583Across 33 listings
Average starting payCAD / hour: $71.55Across 20 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 54%253 listings
On-site: 46%217 listings

Not specified: <1% (1 listing)

Employers hiring include TD (37), RBC (11), BMO (10).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in Vaughan, ON and nearby

Within 25 km

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Added 17 days ago
S
Data Scientist - Applied AI/Gen AI
Sanofi
Toronto, ON
- Full-time
Added 17 days ago
T
Research Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Added 17 days ago
E
Data Scientist, Research and Foresight
eCampusOntario
Toronto, ON
- $67,927 to $84,909 CAD / year
- Full-time
Added 17 days ago
E
Data Architect
Entellux
Toronto, ON
- Contract
We are looking for a hands-on Data Architect to support a strategic data controls and governance initiative. This role will be responsible for assessing data flows, designing remediation…
Added 17 days ago
B
Data Scientist
BMO
Toronto, ON
- Full-time
…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…
Added 17 days ago
CS
Data Modeler
Confiar Services
Toronto, ON
- $55 to $60 CAD / hour
- Contract
We are seeking an experienced Data Modeler with strong SQL, data analysis, data modeling, and KYC domain knowledge. The ideal candidate will support data mapping, sanction screening,…
Added 18 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Added 18 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Added 18 days ago
S1
Full-Stack Machine Learning Engineer
Signal 1
Toronto, ON
- Full-time
Added 18 days ago
FS
Data Architect
Financial Services Regulatory Authority of Ontario (FSRA)
Toronto, ON
- Full-time
Added 18 days ago
M
Lead Data Scientist
Mastercard
Toronto, ON
- Full-time
Added 18 days ago
FS
Data Architect
Financial Services Regulatory Authority (FSRA)
Toronto, ON
- Full-time
Added 18 days ago
RA
Data Scientist – GenAI & Machine Learning
Recruit Action inc.
Toronto, ON
- $45 to $60 CAD / hour
- Contract
Bring your passion for data, machine learning, and GenAI to the insurance sector for our client. Support the development of practical, innovative solutions while contributing to advanced…
Added 18 days ago
TT
Senior Data Modeler
Tundra Technical Solutions
Richmond Hill, ON
- $70 to $80 CAD / hour
- Contract
ROLE: Senior Data Modeler – 6 Months Contract
Added 18 days ago
NF
Senior Data Scientist
Northbridge Financial Corporation
Toronto, ON
- Full-time
What it’s like to be a Northbridge Senior Data Scientist
Added 18 days ago
K
Lead Data Modeler / Data Modeling Architect – Capital Management
Kelly
Toronto, ON
- Contract
This is a senior, architecture-focused position responsible for defining the logical data models that will underpin the bank's capital management and measurement capabilities.
Added 18 days ago
P
Machine Learning Engineer
Pinnacle
Toronto, ON
- Full-time
Added 18 days ago
T
Data Scientist III
TD
Toronto, ON
- Full-time
Added 18 days ago
PX
Consultant, Data Scientist
Project X
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 18 days ago
IF
Senior Data Scientist
Intact FC
Toronto, ON
- Full-time
Added 18 days ago
RB
Data Scientist, Global AML Transaction Monitoring
Royal Bank of Canada
Toronto, ON
- Full-time
As Data Scientist, Transaction Monitoring, you will develop and maintain an efficient and effective AML/ATF Transaction Monitoring program that considers regulatory expectations, industry…
Added 18 days ago
RB
Associate Director - Lead Data Modeler/Analyst
Royal Bank of Canada
Toronto, ON
- Full-time
The Trading & Execution Services (TES) Data Services team within Capital Markets Technology has elevated data to first-class citizen status, providing strategic solutions for the capture,…
Added 18 days ago
C
Big Data Developer
Cognizant
Toronto, ON
- $53,000 to $108,000 CAD / year
- Full-time
As a Big Data Engineer, you will make an impact by designing, developing, and optimizing scalable data platforms, ETL processes, and data pipelines that enable business-critical analytics…
Added 18 days ago
CS
Data Modeler – Cloud/Azure
Confiar Services
Toronto, ON
- Contract
We are looking for an experienced Data Modeler to support cloud and data modernization initiatives. The ideal candidate will have strong hands-on experience in data modeling, SQL, Azure…
Added 18 days ago
R
Data Scientist, Global AML Transaction Monitoring
RBC
Toronto, ON
- Full-time
As Data Scientist, Transaction Monitoring, you will develop and maintain an efficient and effective AML/ATF Transaction Monitoring program that considers regulatory expectations, industry…

BMO

Data Scientist

Toronto, ON, Canada
BMOPLACE, Canada

$80,000.00 - $175,000.00 · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $80,000.00 - $175,000.00
Job type: Full-time
Posting language: English
Posted: Oct 16, 2026

Original job description

Application Deadline:

10/17/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

This is a 12 month hybrid contract role in Toronto

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.
Work with data engineer to do data ETL.
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.
Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
Provides specialized consulting, analytical and technical support.
Exercises judgment to identify, diagnose, and solve problems within given rules.
Works independently and regularly handles non-routine situations.
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:

Intermediate level of proficiency:

Mathematics, statistics & operations research.
Deep learning.
Trust, bias and ethics.
Creative thinking.
Critical thinking.

Advanced level of proficiency:

Fluent in SQL and Python.
Solid knowledge and understanding of machine learning algorithms.
Experience in Exploratory data analysis including feature engineering, data manipulation (required python packages: Pandas, Numpy, Scipy)
Experience in building traditional machine learning models, i.e. classification, regression, clustering using Sklearn and other Python packages.
Big data.
Data visualization.
Computational thinking and programming.
Data wrangling.
Data preprocessing.
Creative reasoning.
Verbal & written communication skills.
Collaboration & team skills.
Analytical and problem solving skills.
Influence skills.
Data driven decision making.
Typically between 5 - 7 years of relevant experience and post-secondary degree in Computer Science, Computer Engineering or related field of study or an equivalent combination of education and experience.
Deep knowledge and technical proficiency gained through extensive education and business 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.

Apply About employer

More about this job

Responsibilities

Analyze large structured and unstructured datasets using machine learning and other advanced analytical methods to identify patterns, develop predictive models, and recommend data-driven business decisions. Collaborate with data engineers, analytics professionals, product teams, and business partners to build, refine, and scale data solutions, including ETL and AI/ML applications.

Requirements

Typically requires 5–7 years of relevant experience and a post-secondary degree in computer science, computer engineering, or a related field, or an equivalent combination of education and experience. Requires advanced SQL and Python skills, knowledge of machine learning algorithms and Python data science packages, and proficiency in analytics, big data, communication, collaboration, and problem-solving.

Skills

SQL
Python
Machine Learning
Deep Learning
Mathematics
Statistics
Operations Research
Exploratory Data Analysis
Feature Engineering
Data Manipulation
Classification
Regression
Clustering
Big Data
Data Visualization
Data Wrangling

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 Analytics
Data Science
Machine Learning
Deep Learning
Artificial Intelligence
SQL
Python
Pandas
NumPy
SciPy
Scikit-Learn
Exploratory Data Analysis
Feature Engineering
Data Manipulation
Data Engineering
ETL
Big Data
Predictive Modeling
Classification
Regression
Clustering
Data Visualization
Data Wrangling
Data Preprocessing
Trust, Bias, and Ethics
Risk Management
Business Intelligence
Consumer Trends
Data-Driven Decision Making
Toronto

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