Data scientist jobs in Mississauga, ON and nearby (528 jobs)

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

Counted Nov 6, 2026

Hiring at a glance

View jobs

Open jobs: 528
Employers: 246

Advertised starting pay

Average starting payCAD / year: $136,636Across 40 listings
Average starting payCAD / hour: $73.57Across 28 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 56%297 listings
On-site: 44%230 listings

Not specified: <1% (1 listing)

Employers hiring include TD (39), BMO (11), RBC (11).

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 Mississauga, ON and nearby

Within 25 km

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Added 16 days ago
IG
Data Architect
Insight Global
Toronto, ON
- $90 to $91 CAD / hour
- Contract
Insight Global is seeking a Solution Architect to support a major Wealth Data & Analytics transformation initiative. This individual will play a key role in defining and governing…
Added 16 days ago
T
Research Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Added 16 days ago
T
Data Scientist II
TD
Toronto, ON
- Full-time
Added 16 days ago
Data Architect & Team Lead
Konrad
Toronto, ON
Added 17 days ago
RB
Lead Data Scientist, AML Analytics
Royal Bank of Canada
Toronto, ON
- Full-time
As a Lead Data Scientist, Global AML Transaction Monitoring, you will develop and maintain efficient and effective AML/ATF Transaction Monitoring models that considers regulatory…
Added 17 days ago
Manager, Data Scientist
Rogers Communications
Toronto, ON
Added 17 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
Added 17 days ago
Data Architect – Informatica IDMC, Collibra & Data Governance
Capco
Toronto, ON
Shape the future of enterprise data architecture, governance and engineering in financial services.
Added 17 days ago
B
Machine Learning Engineer
BMO
Toronto, ON
- Full-time
…learning and making predictions to business requirements. Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models. Monitors,…
Added 17 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Added 17 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Added 17 days ago
(Senior) Data Scientist
PartnerRE Ltd.
Toronto, ON
Added 17 days ago
M
Senior Data Scientist - GenAI
Manulife
Toronto, ON
- Full-time
We are seeking a highly skilled and motivated Senior Data Scientist to join our Group Functions Advanced Analytics team. As a Senior Data Scientist - GenAI, you will develop and implement…
Added 17 days ago
MR
Data Architect
MPA Recruitment
Toronto, ON
- $160,000 to $200,000 CAD / year
- Full-time
…software at some point in your life. They are now looking for a Data Architect to join their team in Halifax or Toronto…
Added 17 days ago
R
Lead Data Scientist, AML Analytics
RBC
Toronto, ON
- Full-time
As a Lead Data Scientist, Global AML Transaction Monitoring, you will develop and maintain efficient and effective AML/ATF Transaction Monitoring models that considers regulatory…
Added 20 days ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON
- Full-time
Added 20 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
Added 20 days ago
A
Senior Data Scientist
Autodesk
Toronto, ON
- Full-time
Autodesk is seeking a Senior Data Scientist to join the Data Science & Analytics team within our Go-to-Market Data Intelligence organization. This team develops data products, predictive…
Added 20 days ago
A
Senior Data Scientist
Autodesk
Toronto, ON
- Full-time
Autodesk is seeking a Senior Data Scientist to join the Data Science & Analytics team within our Go-to-Market Data Intelligence organization. This team develops data products, predictive…
Added 20 days ago
Data Architect
Konrad
Toronto, ON
Added 20 days ago
S
Senior Machine Learning Engineer
ServiceNow
Toronto, ON
- Full-time
…reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow - helping 85% of the Fortune 500® work smarter,…
Added 20 days ago
M
Staff Machine Learning Engineer, Rewards Economy
Mistplay
Toronto, ON
- $180,000 to $220,000 USD / year
- Full-time
Added 20 days ago
S
Data Scientist - Applied AI/Gen AI
Sanofi
Toronto, ON
- Full-time
Added 20 days ago
T
Research Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Added 20 days ago
E
Data Scientist, Research and Foresight
eCampusOntario
Toronto, ON
- $67,927 to $84,909 CAD / year
- Full-time

RBC

Lead Data Scientist, AML Analytics

Vancouver, BC, Canada
Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 14, 2026
Experience: 5+ years of experience conducting in-depth data analytics
Posting language: English
Posted: Oct 19, 2026

Original job description

Job Description

WHAT IS THE OPPORTUNITY?

As a Lead Data Scientist, Global AML Transaction Monitoring, you will develop and maintain efficient and effective AML/ATF Transaction Monitoring models that considers regulatory expectations, industry trends and innovation opportunities. You will be required to develop and tune new and existing solutions used to identify suspicious activity, analyze data to identify RBC clients who present an elevated level of risk (financial & reputational) and continuously look for opportunities to provide more relevant and valuable intelligence to the Global AML program.

WHAT WILL YOU DO?

Develop, tune, and maintain existing AML Transaction Monitoring machine learning, rule-based solutions
Develop new AML Transaction Monitoring solution using data science techniques
Develop validation-ready model documentation and monitoring methodology for models, in adherence to Enterprise Model Risk Management Standards
Create and document model performance metrics, and provide recommendations to the Director, Transaction Monitoring on any findings of model performance
Collaborate with the Director, Transaction Monitoring to prioritize development of monitoring solutions
Collaborate with other Monitoring & Analytics teams to identify and remediate RBC risk exposure, and implement / tune transaction monitoring solutions as necessary to address risk
Collaborate with business partners and internal stakeholders to improve effectiveness and efficiency of transaction monitoring program
Identify opportunities in applying new technologies to AML analytics
Identifying industry best practices and new technologies for strategic consideration by the AML Monitoring and AML Governance Committee

WHAT DO YOU NEED TO SUCCEED?

Must have:

5+ years of experience conducting in-depth data analytics
University or Master degree in an analytical field of study (e.g. Computer Science, Engineering, Mathematics, Statistics, or related quantitative field).·
Expertise in analyzing and manipulating large datasets with Python and Scala/Spark·
Proficiency and familiarity with different SQL, Hive databases and GitHub·
Strong capability in exploratory data analysis and feature development·
Understanding of AML and Financial Crime Fundamentals·
Strong solution-oriented mindset, capable of synthesizing technical, operational and business context into clear understanding of how models operate·
Exceptional attention to detail across documentation, testing artifacts, and quantitative analysis·
Strong written and verbal communication skills; capable of explaining model risk analytics findings to both technical and non-technical stakeholders, as well as tell stories with data meaningfully·
Understands project’s needs and ability to translate these into detection models

Nice to have

Specific experience in Financial Crime or Transaction Monitoring Analytics roles
Experience working in specific business or financial industry data domains (i.e. Capital Markets, Wealth Management)
Experience with supervised and unsupervised learning, and NLP preferred

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Opportunities to do challenging work. Opportunities to take on progressively greater accountabilities. Opportunities to building close relationships with clients
Access to a variety of job opportunities across business and geographies.

Job Skills

Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

Additional Job Details

Address:

20 KING ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-10-19

Application Deadline:

2026-11-14

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Apply About employer

More about this job

Responsibilities

Develop, tune, and maintain machine learning and rule-based AML transaction monitoring solutions to identify suspicious activity. Collaborate with internal stakeholders and business partners to remediate risk and implement effective monitoring strategies.

Requirements

Requires 5+ years of experience in data analytics and a university or master's degree in a quantitative field. Expertise in Python, Scala/Spark, and SQL is essential, along with a strong understanding of AML and financial crime fundamentals.

Skills

Data analytics
Python
Scala
Spark
SQL
Hive
GitHub
Machine learning
Transaction monitoring
AML
Financial crime
Exploratory data analysis
Feature development
Model risk management
NLP
Data science

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock options
Training program

Visa sponsorship

Not detected in the job text

Keywords

Data Science
AML
Transaction Monitoring
Machine Learning
Python
Scala
Spark
SQL
Hive
GitHub
Financial Crime
NLP
Predictive Analytics
Data Mining
Actuarial Modeling
Risk Management
Capital Markets
Wealth Management
Quantitative Analysis
Model Validation
Regulatory Compliance
Big Data Management
Commercial Acumen
Decision Making

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