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Added 9 days ago
Sr Analyst Data & Analytics
The Canada Life Assurance Company
Toronto, ON
Strong SQL skills and proficiency in Python or R for data preparation, integration, reconciliation, validation, automation, analysis, and quality assurance
Added 9 days ago
Manager, Data Scientist
Rogers Communications
Toronto, ON
Strong programming skills in Python, SQL, and Spark for large-scale structured and unstructured data analysis and machine learning development.
Added 9 days ago
T
TD Asset Management Investment Management Intern/Co-op (Summer 2027)
TD
Toronto, ON
- Full-time
Microsoft Access, Python/SQL/Coding skills, financial modelling
Added 9 days ago
UO
Data Scientist - Applied AI, VP Development and Alumni
University of Calgary
Calgary, AB
- Full-time
VP Development and Alumni is currently seeking a Full-time Limited Term Data Scientist - Applied AI for approximately 24 months with a strong possibly of extension, based on organizational…
Added 9 days ago
T
TD Asset Management Investment Management Intern/Co-op (Summer 2027)
TD
Toronto, ON
- Full-time
Microsoft Access, Python/SQL/Coding skills, financial modelling
Added 9 days ago
T
Fraud Specialist, Supplier Operations & Governance
Twilio
Remote, Canada
- Full-time
- Remote
…innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer…
Added 9 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 9 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 9 days ago
C
Software Development Engineer in Test (Python)
CGI
Halifax, NS
- Full-time
…leading banking client. In this role, you will design, develop, and maintain automated testing solutions to ensure the quality, reliability, and performance of enterprise applications.…
Added 9 days ago
A
Test Engineer
Actalent
Ottawa, ON · Nepean, ON
- $50 to $60 CAD / hour
- Contract
Proficiency with Python for scripting and programming in test environments.
Added 9 days ago
HI
Cloud Architect
HISH IT SERVICES
Toronto, ON
- $75 CAD / hour
- Contract
We are seeking a GCP Cloud Architect/Engineer to design and implement scalable data solutions using Google Cloud Platform (GCP). This role will work closely with business stakeholders, data…
Added 9 days ago
GIS Developer
GeoLOGIC Systems Limited
Calgary, AB
As a GIS Developer, you'll build and maintain the spatial data processes that sit at the heart of our organization and help manage the GIS infrastructure that enables them. Your work…
Added 9 days ago
New Grad, Process Data Solutions, Calgary (June 2027)
Cenovus Energy
Calgary, AB
Develop and maintain scripts, calculations, data models and integrations using technologies such as the PI System, SQL, Python and cloud-based data platforms.
Added 9 days ago
Senior Manager, Investment Performance Analytics
Scotiabank
Toronto, ON
Identify opportunities to enhance scalability, automation, and operational efficiency through SQL, Python, Power BI, and database technologies.
Added 9 days ago
KC
Senior Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Toronto, ON
- Full-time
Expert skills in SQL, Python, and distributed data processing.
Added 9 days ago
UO
Scientific Data Specialist
University of Victoria
Victoria, BC
- Full-time
practical experience in Python, Matlab or experience developing data products using computational and data analysis/visualization tools in one or more of the following scientific…
Added 9 days ago
O
Software Developer
OpenText
Waterloo, ON
- Full-time
Looking for a smart and motivated senior backend/Java developer to join our Digital Media team, working on the leading enterprise-level Digital Asset Management solutions. We are an agile…
Added 9 days ago
PS
ML/NLP Engineer
PRESCRIRE Solutions
Montreal, QC
- Full-time
Proficiency in Python, SQL, cloud ML platforms (GCP, AWS), and MLOps practices.
Added 9 days ago
P
Senior Applied AI Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
Python · Java · SQL · PySpark · AWS (EKS, SageMaker, Bedrock, Agentcore, DynamoDB, Elasticache, Lambda, LoadBalancer, Glue, Kinesis, S3) · Kubernetes · Docker · Snowflake · SnowPark ·…
Added 9 days ago
P
Senior Software Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
Python · TypeScript · SQL · React · Vue · Sanic · ExpressJs · NestJs · AWS · Kubernetes (EKS) · Helm · ArgoCD · GitLab · PostgreSQL · MySQL · Datadog · Splunk · Sentry · CloudWatch · Claude…
Added 9 days ago
PC
Deals Value Creation Analytics Senior Associate (Bilingual FR/EN)
PwC Canada
Montréal-Ouest, QC
- Full-time
Experience integrating disparate data sources and structuring, cleansing, and transforming data using tools such as Alteryx, SQL, Python, Databricks, or Power Query
Added 9 days ago
AM
Silicon Design Engineer (1 year contract)
Advanced Micro Devices, Inc
Markham, ON
- Temporary
Experience with Perl/Python/Shell scripting, C++, SQL
Added 9 days ago
K
Data Consultant
KPMG
ON · Toronto, Ontario
- Full-time
Work with audit engagement teams to support the use of Data and Analytics (D&A) in the performance of external audits including data acquisition, movement and transformation; utilize a…
Added 9 days ago
HT
Python Systems Engineer
High Tech Genesis
Toronto, ON
- Contract
We are looking for an experienced Backend Python Engineer to design, develop, maintain, and scale web application platforms and backend services using Python. This role is ideal for someone…
Added 9 days ago
PC
Lead Data Consultant, Manager
PwC Canada
Toronto, ON
- Full-time
Proficiency in SQL and Python and experience developing maintainable, testable and reusable data engineering solutions.

Rogers Communications

Manager, Data Scientist

Toronto, ON, Canada

Apply 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

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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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