Data scientist jobs in Toronto, ON and nearby

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

Counted Nov 4, 2026

Hiring at a glance

View jobs

Open jobs: 512
Employers: 239

Advertised starting pay

Average starting payCAD / year: $132,249Across 37 listings
Average starting payCAD / hour: $71.71Across 24 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 54%279 listings
On-site: 45%232 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 Toronto, ON and nearby

Within 25 km

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Added 19 days ago
CS
Data Modeler
Confiar Services
Toronto, ON
- Contract
We are seeking an experienced Data Modeler with strong SQL, data analysis, data modeling, and banking domain knowledge. The ideal candidate should have hands-on experience in KYC, sanctions…
Added 19 days ago
R
Data Scientist III
Raise
Toronto, ON
- Full-time
We at Raise are hiring a Data Scientist III for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. We’re…
Added 19 days ago
Senior Data Scientist, Financial Services
Clutch Technologies Inc.
Toronto, ON
Added 19 days ago
R
Data Scientist I
Raise
Toronto, ON
- Full-time
We at Raise are hiring a Data Scientist I for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. We’re…
Added 19 days ago
RA
Senior Data Scientist (Machine Learning & Generative AI)
Recrute Action
Toronto, ON
- Contract
Bring your passion for data, machine learning, and GenAI to the insurance sector for our client. Help transform complex business problems into practical, innovative solutions while…
Added 19 days ago
E
Sr. Data Scientist
Eneon-ES
Toronto, ON
- Full-time
Added 19 days ago
P
Machine Learning Engineer
Point11
Toronto, ON
- Full-time
Make Point11's digital twins more faithful to the customers they stand in for. You own the models and data be
Added 19 days ago
RA
Data Scientist I – GenAI & Machine Learning
Recrute Action
Toronto, ON
- 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 19 days ago
T
Big Data Engineer
Talenzaa
Mississauga, ON
- Full-time
Big Data Frameworks: Deep technical expertise in PySpark (Spark Core, Spark SQL, Spark Streaming), HDFS, Hive, and distributed system architectures
Added 19 days ago
Machine Learning Engineer, Marketing
Bell
Toronto, ON
Added 19 days ago
E
Senior Data Scientist
EvenUp
Toronto, ON
- $160,000 to $230,000 USD / year
- Full-time
Added 21 days ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Added 21 days ago
RB
Lead Data Scientist - AI
Royal Bank of Canada
Toronto, ON
- Full-time
Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses. We are looking to hire…
Added 21 days ago
I
AI Data Architect
Insight
Toronto, ON
- Full-time
Added 21 days ago
MR
AML Data Scientist
Motion Recruitment
Toronto, ON
- $84 to $92 USD / hour
- Contract
Our client, a large financial services organization, is hiring a Senior Data Scientist (AML) for a 6-month contract in Toronto, ON (hybrid). You’ll join a data science team focused on…
Added 21 days ago
R
Lead Data Scientist - AI
RBC
Toronto, ON
- Full-time
Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses. We are looking to hire…
Added 21 days ago
R
DSX Data Scientist
Roche
Mississauga, ON
- Full-time
Added 21 days ago
T
Applied Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Added 21 days ago
Senior Machine Learning Engineer, Benefits Personalization
HelloFresh
Toronto, ON
Added 21 days ago
Machine Learning Engineer
Wawanesa Insurance
Toronto, ON
Added 21 days ago
T
Senior Applied Machine Learning Scientist (predictive analytics)
TD
Toronto, ON
- Full-time
Added 21 days ago
AI Data Architect
Insight Enterprises, Inc.
Toronto, ON
Added 21 days ago
Machine Learning Engineer
Wawanesa Insurance
Toronto, ON
Added 21 days ago
NM
Sales & Marketing, Data Scientist
Nissan Motor Corporation
Mississauga, ON
- Full-time
We are currently looking for a Sales & Marketing, Data Scientist to join our team in Mississauga, ON.
Added 21 days ago
T
Data Scientist II
TD
Toronto, ON
- Full-time

Bell

Machine Learning Engineer, Marketing

Toronto, ON, Canada

Hybrid

Apply About employer

Applications open in a new tab.

Job details

Workplace: Hybrid
Posting language: English
Posted: Oct 15, 2026

Original job description

Req Id: 431373

Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we’re building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day.

We believe in empowering people. That’s why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you’re inspired by innovation that advances how people connect and transforms what’s possible, you belong on #TeamBell.

Summary

We are looking for a Machine Learning Engineer, Marketing to join our team. In this role, you will be responsible for leveraging sales, marketing, and behavioral data to analyze and optimize marketing activities. This position will support a portfolio of marketing projects including marketing mix modelling, causal impact analysis, predictive modeling for customer acquisition and retention, lifetime value analysis, and more.

Key Responsibilities

Develop and maintain mathematical models to guide strategic business planning and marketing
Develop and maintain continuous training predictive models for customer acquisition/retention
Conduct statistical experiments to support a knowledge hub for strategic marketing insights
Analyze, interpret, and present findings and recommendations to cross-functional business teams
Collaborate with brand, marketing, and technical teams to translate business needs into solutions
Participate in pilot programs to stay ahead of the curve in applied AI/ML advancements
Support MLOps/DevOps for production model environments and process/test automation
Clearly document your work and present concepts to both technical and non-technical audiences
Participate in knowledge-transfer and cross-training to facilitate business continuity and resilience

Critical Qualifications

Bachelor's degree in a quantitative field (eg. Computer Science, Math, Statistics, Engineering)
3 + years of experience applying Data Science, Machine Learning, and advanced statistical modeling techniques to marketing analytics, customer acquisition, customer retention, customer segmentation, marketing measurement, or campaign optimization initiative
Strong experience in data science, machine learning, research, and data pipeline development
Proficient in data management and analytical programming languages (Python, SQL, R)
Proficient using common data visualization packages and business intelligence tools
Proficient using LLMs to judiciously expedite and automate tasks in a production environment
Experience developing and maintaining data warehousing and data lake products
Experience working with large marketing, media, behavioural, or cognitive data sets
Experience working in secure corporate cloud environments (eg. GCP, AWS, Azure)
Experience with constrained optimization models and statistical simulation methods
Experience in applying both Bayesian and frequentist statistical concepts to large data sets
Experience with analytical Python libraries (eg. TensorFlow, Keras, scikit-learn, pandas)
Knowledge of agile project management philosophies and workflows

Adequate knowledge of French is required for positions in Quebec.

Additional Information:

Position Type: Management
Job Status: Regular - Full Time
Job Location: Canada : Ontario : Toronto || Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Quebec : Montreal
Work Arrangement: Hybrid
Application Deadline: 10/28/2026

For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

Please apply directly online to be considered for this role. Applications through email will not be accepted.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong.

Bell is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise. We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements.If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

Created: Canada, ON, Toronto

Bell, one of Canada's Top 100 Employers.

Apply About employer

More about this job

Responsibilities

Develop and maintain statistical and machine learning models for marketing strategy, customer acquisition and retention, marketing measurement, and related business planning. Analyze and present findings to cross-functional teams, collaborate on marketing solutions, support production MLOps and automation, and document and share knowledge.

Requirements

Requires a bachelor's degree in a quantitative field and at least 3 years of experience applying data science, machine learning, and advanced statistical methods to marketing or customer analytics. Candidates should have strong programming and data pipeline skills, experience with large datasets and secure cloud environments, and proficiency in statistical methods, visualization, and analytical Python libraries.

Skills

Machine Learning
Data Science
Marketing Analytics
Predictive Modeling
Statistical Modeling
Python
SQL
R
Data Pipeline Development
Data Visualization
Business Intelligence
Large Language Models
Data Warehousing
Cloud Computing
Bayesian Statistics
MLOps

Benefits

Medical Benefits
Dental Benefits
Vision Benefits
Mental Health Benefits
Discount on Bell Services
Partner Offers

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Marketing Mix Modeling
Causal Impact Analysis
Predictive Modeling
Customer Acquisition
Customer Retention
Customer Segmentation
Customer Lifetime Value
Marketing Measurement
Campaign Optimization
Statistical Experiments
Python
SQL
R
TensorFlow
Keras
Scikit-Learn
Pandas
Data Pipelines
Data Warehousing
Data Lakes
Google Cloud Platform
AWS
Azure
Bayesian Statistics
Frequentist Statistics
Constrained Optimization
Statistical Simulation
MLOps
Agile Project Management

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