Data scientist jobs in Toronto, ON and nearby

Within 25 km

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Added 23 days ago
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Data Scientist - Credit Risk (ATH 5531)
TD
Toronto, ON
- Full-time
Use data, analytics, and business insight to identify opportunities, improve credit strategies and customer outcomes, and answer not just "what happened?", but "so what?" and "what should…
Added 23 days ago
ZS
Data Architect - Technical Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: Data Architect - Technical Architect
Added 23 days ago
NB
Senior Data Scientist Implementation and Codification
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well…
Added 23 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 23 days ago
T
Research Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Develop powerful business insights from a broad range of data, using advanced machine learning techniques.
Added 23 days ago
T
Data Scientist II
TD
Toronto, ON
- Full-time
As a Data Scientist, you will help design, develop, test, and operationalize generative AI, Copilot, and agentic solutions for Finance. The role combines AI solution development, prompt and…
Added 23 days ago
Data Architect & Team Lead
Konrad
Toronto, ON
As a Data Architect & Team Lead, you will combine hands-on technical architecture expertise with people and delivery leadership. You will be tasked with designing, building, and maintaining…
Added 23 days ago
NB
Senior Data Scientist Model Developement and Validation
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well…
Added 23 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 23 days ago
Manager, Data Scientist
Rogers Communications
Toronto, ON
We are looking for an experienced Data Scientist to join our team and help build, deploy, and optimize machine learning solutions that influence decisions across millions of customer…
Added 24 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday)
Added 24 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 24 days ago
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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 24 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 24 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 24 days ago
(Senior) Data Scientist
PartnerRE Ltd.
Toronto, ON
We are a small data science research team with a mandate to build future-ready capabilities and strategic differentiation for PartnerRe’s Life & Health business globally, working on a…
Added 24 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 24 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 24 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 24 days ago
NB
Senior Data Scientist Production and Reporting Lead
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in National Bank’s IFRS-9 and Credit Risk Analytics team, you will be responsible for IFRS-9 reporting, risk analytics, process development, and risk data…
Added 26 days ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON
- Full-time
The Data Scientist will be a pivotal member of the Enterprise Data and Analytics Team, responsible for developing, and implementing advanced analytics and AI models. Leverage statistical…
Added 26 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday)
Added 27 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 27 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 27 days ago
Data Architect
Konrad
Toronto, ON
As a Data Architect you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Microsoft Fabric,…

Rogers Communications

Manager, Data Scientist

Toronto, ON, Canada

Apply on jobs.rogers.com About employer

Applications open in a new tab.

Job details

Experience: 5 to 8 years of experience in Data Science, Machine Learning, Applied AI, or Advanced Analytics.
Posting language: English
Posted: Oct 14, 2026

Original job description

We are committed to connecting Canadians through unique partnerships, our world-class network and content Canadians love - and our innovative team is growing. We are looking for dedicated team members to join our Corporate team who have a genuine passion for making positive impacts on customers and the communities where we live and work. We have a variety of business units with exciting and meaningful work waiting for you, including Communications, HR, Legal and Corporate Affairs, Supply Chain, Finance, and Real Estate. If you are considering your next step, we have exciting opportunities waiting for you. Come build a rewarding career at Rogers and be a driving force behind our success story!

Who we're looking for:
We are looking for an experienced Data Scientist to join our team and help build, deploy, and optimize machine learning solutions that influence decisions across millions of customer interactions. Our team manages a large enterprise model portfolio supporting customer acquisition, retention, and lifecycle marketing. You'll work extensively within our Databricks and Azure based machine learning environment using Python, Spark.

This is a highly hands-on individual contributor role for someone who enjoys owning the full model development lifecycle, from business problem definition and feature engineering to production deployment and performance monitoring. You'll work closely with business stakeholders, data engineers, and fellow data scientists to deliver measurable business value through advanced analytics and machine learning.

What you'll do:

Build Production Machine Learning Models
- Design, develop, validate, and deploy predictive models and machine learning solutions.
- Perform feature engineering, model selection, hyperparameter tuning, and model evaluation.
- Monitor deployed model performance and recommend enhancements as business conditions evolve.
- Deliver models that are scalable, maintainable, and production-ready.
- Design and evaluate experiments, A/B tests, champion-challenger frameworks and model performance assessments to measure business impact.
Solve Business Problems
- Partner with business stakeholders to identify, prioritize, and size opportunities where advanced analytics and machine learning can drive measurable business outcomes.
- Translate ambiguous business objectives into structured analytical approaches, clear success metrics, and actionable recommendations.
- Perform exploratory analysis to uncover customer behaviors, business trends, risks, and opportunities within large and complex datasets.
- Collaborate with stakeholders to define success criteria, quantify business impact, and ensure analytical solutions are adopted and utilized in decision-making processes.
- Present analytical findings, model results, and strategic recommendations to both technical and non-technical audiences in a clear and compelling manner.
Work Across the Full ML Lifecycle
- Develop reusable code, data assets, and model components.
- Collaborate with Data Engineering and MLOps teams on deployment and operationalization.
- Support model governance, documentation, validation, and monitoring processes.
- Contribute to continuous improvement of data science best practices.
Collaborate and Innovate
- Collaborate with stakeholders to define success metrics, quantify business impact and ensure analytical solutions drive measurable outcomes.
- Work with cross-functional teams including Marketing, Product, Technology, Data Engineering, and Analytics.
- Share knowledge and mentor junior team members when appropriate.
- Stay current with emerging machine learning and AI technologies and identify opportunities for practical application.
- Explore and apply Generative AI, large language models and emerging AI technologies where they provide practical business value.

What you bring:

Experience
- 5 to 8 years of experience in Data Science, Machine Learning, Applied AI, or Advanced Analytics.
- Experience developing propensity, churn, customer segmentation, recommendation, next-best-action, offer optimization models in production environments is highly desirable.
- Proven experience developing and deploying machine learning models in production environments.
- Experience solving real-world business problems using data and analytics.
Technical Skills
- Strong programming skills in Python, SQL, and Spark for large-scale structured and unstructured data analysis and machine learning development.
- Experience using Git-based development workflows, including version control, branching strategies, code reviews, pull requests, and collaborative development practices.
- Hands-on experience with machine learning frameworks and libraries such as Scikit-Learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
- Strong understanding of feature engineering, model evaluation, experimentation, statistical analysis, and predictive modeling techniques.
- Hands-on experience with model deployment, MLOps, CI/CD pipelines, Azure and Databricks is strongly preferred.

What’s in it for you?
We believe in investing in our people and helping them reach their potential as valuable members
of our team. As part of our team, you’ll have access to a wide range of incredible resources, growth
opportunities, discounts, and perks, including:

Competitive salary & annual bonus.
Competitive & flexible health and dental benefits, pension plan, RRSP, TFSA, and Stock matching programs.
Discounts: Enjoy up to 50% off Rogers Services and Blue Jays Tickets, 25% off TSC items, and a 20% discount on all wireless accessories sold in Rogers stores.
Paid time off for volunteering.
Company matching contributions to charities you support.
Growth & Development Opportunities:
- Self-driven career development programs.
- Rogers First: priority in applying to internal roles of interest.
Wellness Programs:
- Employee & family assistance program.
- Virtual Healthcare.
- Cognitive Behavioural Therapy (CBT).
- Low or no-cost fitness membership.
Our commitment to diversity:
- An inclusive and diverse workplace where you can bring your whole self to work.

To protect our people, brand and assets, a pre-employment background check will be conducted. As part of our selection process, all candidates must clear a criminal background check. Additionally, a credit check and drivers abstract may be required depending on the role.

Schedule: Full time Shift: Day Length of Contract: Not Applicable (Regular Position) Work Location: 1 Mount Pleasant (083), Toronto, ON Travel Requirements: Up to 10% Background Check(s) Required: Canadian Criminal Record Check Posting Category/Function: Digital & Advertising & Analytics Requisition ID: 341598

To support career growth, collaboration, and high-performing teams, all Corporate Employees are expected to work onsite. We believe that in-person connection strengthens our culture and drives industry-leading performance.

At Rogers, we believe the key to a strong business, is a diverse workforce where equity and inclusion are core to making everyone feel like they belong. We do this by embracing our diversity, celebrating our different perspectives, and working towards creating environments that empower our people to bring their whole selves to work. Everyone who applies for a job will be considered. We recognize the business value in creating a workplace where each team member has the tools to reach their full potential by removing any barriers for equal participation. We work with our candidates who are experiencing a disability throughout the recruitment process to ensure that they have what they need to be at their best. Please reach out to our recruiters and hiring managers to begin a conversation about how we can ensure that you deliver your best work. You matter to us! For any questions, please visit the Recruitment Process FAQ.

Posting Notes: Corporate

Apply on jobs.rogers.com About employer

More about this job

Responsibilities

Design, develop, and deploy scalable machine learning models to drive business outcomes across customer interactions. Collaborate with cross-functional teams to translate business objectives into structured analytical approaches and actionable recommendations.

Requirements

Requires 5 to 8 years of experience in data science or machine learning with strong proficiency in Python, SQL, and Spark. Proven experience in production-level model deployment and MLOps within Azure and Databricks environments is essential.

Skills

Python
SQL
Spark
Databricks
Azure
Machine learning
Predictive modeling
Feature engineering
MLOps
Git
Scikit-learn
XGBoost
LightGBM
TensorFlow
PyTorch
A/B testing

Benefits

Competitive salary
Annual bonus
Health benefits
Dental benefits
Pension plan
RRSP
TFSA
Stock matching programs
Employee discounts
Paid time off for volunteering
Company matching contributions to charities
Career development programs
Employee and family assistance program
Virtual healthcare
Cognitive behavioural therapy
Fitness membership

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Applied AI
Advanced Analytics
Python
SQL
Spark
Databricks
Azure
Git
Scikit-learn
XGBoost
LightGBM
TensorFlow
PyTorch
MLOps
CI/CD
Feature Engineering
Predictive Modeling
A/B Testing
Generative AI
Large Language Models
Propensity Modeling
Churn Analysis
Customer Segmentation
Recommendation Systems
Offer Optimization
Statistical Analysis
Model Governance
Data Engineering

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Where work happens

Data scientist jobs in Toronto, ON and nearby

Data Scientist - Credit Risk (ATH 5531)

Data Architect - Technical Architect

Senior Data Scientist Implementation and Codification

Data Architect

Research Machine Learning Scientist II

Data Scientist II

Data Architect & Team Lead

Senior Data Scientist Model Developement and Validation

Lead Data Scientist, AML Analytics