IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Oct 1, 2026

Hiring at a glance

View jobs

Open jobs: 2,586
Employers: 1,315

Advertised starting pay

Average starting payCAD / year: $98,863Across 256 listings
Average starting payCAD / hour: $52.66Across 88 listings
Average starting payUSD / year: $118,134Across 53 listings

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

Where work happens

Remote: 5%130 listings
Hybrid: 40%1,024 listings
On-site: 55%1,420 listings

Not specified: <1% (12 listings)

Employers hiring include TD (44), J&M Group (40), Amazon (37).

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

IT & data jobs in Canada

Email me new jobs Save this search

Added 12 days ago
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 15 days ago
Enterprise Data Architect
Citi
Mississauga, ON
Full-time
Job Description Summary: The position is within ICG Technology, and we are seeking a Enterprise Data Architect with strong hands-on experience in developing Conceptual, Logical and Physical…
Added 15 days ago
Vice President, Data Scientist
BMO
Toronto, ON · FCP
Added 15 days ago
Technical Project Manager
Loblaw Companies Limited
Brampton, ON
Full-time
Added 15 days ago
Intern - Systems Administrator
iA Financial Group
Toronto, ON · Montreal, QC · Quebec, QC
$25 to $30.5 CAD / hour
Full-time
Added 14 days ago
Data Analyst
iA Financial Group
Montreal, QC · Quebec, QC
Full-time
Are you passionate about data and creating value? Would you like to contribute to decisions that shape the future of individual insurance?
Added 15 days ago
Staff Data Engineer
RBC
Toronto, ON
Full-time
As Lead Data Engineer in Investor & Treasury Services Data Engineering team within Technology and operations office, you will design, implement, and support enterprise data architecture…
Added 15 days ago
Data Analyst - Portfolio Reporting, Real Estate Debt
QuadReal Property Group
Vancouver, BC
Full-time
Added 27 days ago
Technical Project Manager
Jefferson Health
Hamilton, ON
Full-time
Added 29 days ago
Data Scientist
NRG Energy
Calgary, AB
Full-time
Added 17 days ago
Senior Data Scientist
Canadian Tire Corporation
Oakville, ON
Full-time
Added 12 days ago
Senior Data Analyst (Capital Markets)
CGI
Toronto, ON
Full-time
CGI is seeking a Senior Data Analyst to join our Financial Services team in the Greater Toronto Area. This role is ideal for an experienced data professional with strong expertise in SQL,…
Added 13 days ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Senior Data Engineer: Senior Data Engineer – Zonda – Toronto, ON
Added 13 days ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Senior Data Engineer: Senior Data Engineer – Zonda – Toronto, ON
Added 1 month ago
Data Engineer (Intermediate - Senior)
KF Aerospace
Kelowna, BC
$73,000 to $114,000 CAD / year
Full-time
Added 12 days ago
Software Development Manager
EDealer
Canada
Full-time
Added 12 days ago
Software Engineering Manager
Spellbook
Remote, Canada
Full-time · Remote
Added 19 days ago
Software Development Manager, Amazon
Amazon
Vancouver, BC
Full-time
Added 12 days ago
Network Security Analyst – ICAT Infrastructure
Mackenzie Health
Vaughan, ON
$51.04 to $60.61 CAD / hour
Full-time
Added 13 days ago
Senior Data Scientist
Ontario Securities Commission
Toronto, ON · CA ON Toronto
Full-time
Added 12 days ago
Enterprise Data Analyst/Modeler
Canadian Natural Resources Limited (CNRL)
Calgary, AB
Full-time
The Enterprise Data & Analytics team is seeking a highly skilled Enterprise Data Analyst to help advance the organization's data management and governance capabilities. This role applies…
Added 12 days ago
Machine Learning Scientist II - Marketing Optimization
Wayfair
Toronto, ON
$168,960 to $188,776.5 CAD / year
Full-time
Added 13 days ago
Data Engineer
Loopio Inc.
Remote, Canada
$103,500 to $140,000 CAD / year
Full-time · Remote
Loopio’s Data Engineering Team works together on a mission to transform the RFP response process into a rapid and seamless experience. Our team works across all platform portfolio features…
Added 12 days ago
System Administrator/ SCCM
Motion Recruitment
Toronto, ON · Etobicoke, ON
$87,000 to $110,000 USD / year
Full-time
Added 12 days ago
Enterprise Data Analyst
Canadian Natural
Calgary, AB
The Enterprise Data & Analytics team is seeking a highly skilled Enterprise Data Analyst to help advance the organization's data management and governance capabilities. This role applies…

NRG Energy

Data Scientist

Calgary, AB, Canada

Job type: Full-time
Apply by: Oct 1, 2026
Experience: 3+ years of experience in Data Science, advanced analytics, machine learning, forecasting, or related analytical roles.
Posting language: English
Posted: Sep 1, 2026

Apply About employer

Applications open in a new tab.

Original job description

Welcome to the intersection of energy and home services. At Direct Energy, an NRG company, we’re all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers’ lives easier - helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company.

We offer a dynamic work environment and a unified and inclusive culture. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society.

More information is available at www.directenergy.com. Connect with NRG and Direct Energy on Facebook, LinkedIn, and follow us on Twitter.

Job Summary

The Data Scientist, Customer Care Analytics is responsible for developing, validating, deploying, and monitoring advanced analytical, machine learning, and Generative AI solutions that improve customer outcomes, operational performance, employee productivity, and business decision-making.

This role partners closely with Customer Care, Collections, Billing, Workforce Management, Technology, and Business Leadership teams to transform data into actionable insights and scalable solutions. The successful candidate will identify opportunities to leverage reporting, advanced analytics, predictive modeling, optimization, Large Language Models (LLMs), and other AI technologies to address complex business challenges.

The role is accountable for the end-to-end lifecycle of analytical and AI solutions, including business problem definition, data acquisition, model development, validation, deployment, monitoring, governance, and business adoption. In addition to advanced analytical work, the role will contribute to reporting, dashboarding, and decision-support solutions that enable data-driven decision-making across Customer Care operations. The role aligns well with the capabilities of advanced analytics, machine learning, model monitoring, validation, and decision-support solutions described within existing enterprise analytics practices.

Key Responsibilities

Data Science & AI Solutions

Develop and deploy statistical, machine learning, forecasting, optimization, and Generative AI solutions that improve customer outcomes and operational performance.
Translate business problems into analytical approaches and actionable recommendations.
Evaluate when reporting, advanced analytics, machine learning, or LLM-based solutions are the most appropriate approach.

Model Development, Validation & Monitoring

Design, build, validate, and maintain predictive, forecasting, and AI models.
Establish model performance standards, monitoring frameworks, and governance controls.
Identify model drift, performance degradation, and opportunities for retraining or enhancement.

Data & Technical Delivery

Acquire, integrate, and prepare data from multiple sources for analytical and AI applications.
Develop scalable analytical workflows, data pipelines, and reusable data assets using modern analytics tools and platforms.
Apply best practices for testing, documentation, version control, and deployment.

Business Partnership & Innovation

Partner with business leaders and stakeholders to identify opportunities for analytics and AI to create business value.
Communicate analytical findings and recommendations to technical and non-technical audiences.
Evaluate emerging technologies and drive innovation through advanced analytics, AI, and automation initiatives.

Reporting & Decision Support

Develop dashboards, reports, scorecards, and data visualizations that support operational and strategic decision-making.
Translate analytical outputs into clear business insights and performance measures.
Ensure reporting accuracy, consistency, and alignment with business definitions.

Minimum Qualifications

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Operations Research, or related quantitative discipline.
3+ years of experience in Data Science, advanced analytics, machine learning, forecasting, or related analytical roles.
Experience developing predictive, forecasting, optimization, or statistical models in a business environment.
Strong proficiency with SQL and Python.
Experience working with large and complex datasets.
Experience applying statistical analysis and quantitative problem-solving techniques.
Experience communicating analytical findings to non-technical stakeholders.
Experience developing dashboards or reports using Power BI, Tableau, or similar tools.

Preferred Qualifications

Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI assistants.
Experience with Azure OpenAI, Databricks, MLflow, Azure AI, or similar cloud-based AI platforms.
Strong understanding of statistics, machine learning, forecasting, and Generative AI technologies.
Experience with model validation, model governance, and model monitoring practices.
Experience with forecasting, optimization, contact center analytics, workforce management, collections, or customer care operations.
Experience deploying and supporting production machine learning solutions.
Knowledge of responsible AI, model explainability, and AI governance principles.

Additional Knowledge, Skills & Abilities

Ability to determine the most appropriate solution approach, whether reporting, analytics, machine learning, optimization, or AI.
Strong business acumen and problem-solving skills.
Excellent communication, data storytelling, and presentation skills.
Strong technical writing and documentation capabilities.
Ability to manage multiple priorities in a fast-paced environment.
Continuous learning mindset with interest in emerging AI and analytics technologies.

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

Official description on file with Talent.

We support the use of AI tools to help you prepare for your interview (e.g., practicing responses, researching the role, or refining your resume). However, during interviews and assessments, we expect responses to reflect your own thinking, experience, and communication. Use of AI to generate or read answers in real time, complete assessments, or misrepresent your qualifications is not permitted and may impact your candidacy.

Apply About employer

More about this job

Responsibilities

Develop and deploy advanced analytical, machine learning, and Generative AI solutions to improve customer outcomes and operational performance. Partner with cross-functional teams to transform complex data into actionable insights and scalable decision-support tools.

Requirements

Requires a Bachelor's degree in a quantitative field and 3+ years of experience in data science or advanced analytics. Proficiency in SQL and Python is essential, along with experience in predictive modeling and data visualization tools.

Skills

SQL
Python
Machine Learning
Generative AI
Large Language Models
Predictive Modeling
Forecasting
Optimization
Power BI
Tableau
Statistical Analysis
Data Pipelines
Model Monitoring
Data Visualization
Azure OpenAI
Databricks

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Generative AI
LLM
RAG
SQL
Python
Azure OpenAI
Databricks
MLflow
Azure AI
Predictive Modeling
Forecasting
Optimization
Power BI
Tableau
Model Governance
Model Validation
Contact Center Analytics
Workforce Management
Data Pipelines
Statistical Analysis
Data Storytelling
Responsible AI
Model Explainability
Customer Care Analytics
Energy Industry
Data Visualization
Quantitative Analysis
Decision Support

Report this job