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Added 14 mins ago
Senior Data Analyst
AgileGrid Solutions
Canada
Full-time
…high-quality dashboards, reports, and data visualizations using Power BI is essential. Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, and data modeling,…
Added 14 mins ago
Data Fabric Lead/Architect(Fabric Must)
Aaura Softwares
Canada
Temporary
…through ingestion, Lakehouse and semantic layer, to certified Power BI data products. The role spans the full Microsoft Fabric stack and enterprise Power BI architecture, with a hands-on…
Added 30 mins ago
DATA MANAGEMENT ARCHITECT
WBM Technologies
Winnipeg, MB · Regina, SK · Saskatoon, SK · Edmonton, AB · Calgary, AB
Full-time
Experience with Microsoft Purview, Microsoft Fabric, Power BI, and Azure Data platforms.
Added 5 hours ago
Stagiaire analyste d'affaires en IA et automatisation / AI & Automation Business Analyst Intern
ACCA Careers
Quebec, QC
Volunteer
…by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red…
Added 9 hours ago
Junior Settlements Data Analyst
Nexus Energy
Toronto, ON
Contract
Advanced proficiency in Microsoft Excel, including Pivot Tables, Power Pivot, XLOOKUP/VLOOKUP, complex formulas, data reconciliation, and analysis/summarization of large datasets.
Added 16 hours ago
Senior Data Engineer - Retail Engineering (Snowflake)
lululemon
Vancouver, BC
Full-time
…Medallion architecture (Bronze, Silver, and Gold layers), and Power BI, the team partners closely across the enterprise to deliver curated, business ‑ ready data products. Together, the…
Added 1 day ago
Data Engineering Solutions Architect - Technology Services Group
Optimus SBR
Toronto, ON
Full-time
Design and build end-to-end data pipelines using both low-code/no-code and code-based tools, including SSIS, Azure Data Factory (ADF), Alteryx, Power Automate, and related technologies
Added 1 day ago
Data Analyst
Spait Infotech
Canada
Full-time
Experience with Power BI, Tableau, or similar BI tools.
Added 3 days ago
Deductions Specialist
Stanley Black & Decker, Inc.
Mississauga, ON
Full-time
Continuous improvement minded; experience with business intelligence platforms (e.g. Power BI) highly preferred
Added 1 month ago
Manager, Data Analytics & Insights
123Dentist
Toronto, ON
$90,000 to $135,000 CAD / year
Full-time
…business strategy - leading a high-performing team of analysts and Power BI developers who turn raw data into…
Added 2 months ago
Senior Business Analyst
Compass Group Canada
Mississauga, ON
Full-time
Support integration projects involving enterprise systems and third-party platforms.
Added 2 days ago
Key Account Manager // Gestionnaire de Comptes Clés
BAT
Toronto, ON
Full-time
Added 13 days ago
Applied Machine Learning - Co-op Student
Loblaw Companies Limited
Brampton, ON
Full-time
Experience writing Python applications and SQL queries. Exposure to cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure is an asset.
Added 10 days ago
Manager, Data Science & Merchandising Analytics
Loblaw Companies Limited
Brampton, ON
Full-time
Experience with cloud platforms such as GCP and BI tools such as Power BI or MicroStrategy.
Added 5 days ago
Intern – Artificial Intelligence, Automation and Operational Efficiency
iA Financial Group
Vancouver, BC · Montreal, QC · Quebec, QC
$27.5 to $30.5 CAD / hour
Full-time
…processes using artificial intelligence, Microsoft Copilot, the Power Platform, and other emerging…
Added 3 days ago
Business Process and Knowledge Management Specialist
iA Financial Group
Toronto, ON · Montreal, QC
Full-time
…workflow-documentation tools, SharePoint, knowledge-management platforms, or document…
Added 3 days ago
Data & Integration Developer
AtkinsRéalis
Mississauga, ON
Full-time
The Data & Integration Developer, reporting directly to the Director, AI & Automation, will be responsible for developing and supporting system integrations and helping establish the…
Added 5 days ago
Staff Data Engineer
RBC
Toronto, ON
Full-time
…execution, including Azure Databricks infrastructure management , Power BI optimization, analytics administration, workspace governance, and reporting infrastructure to enable self-service…
Added 6 days ago
Manager, Business Insights & Analytics
CI Financial
Toronto, ON
Full-time
Added 4 days ago
Senior IT Business Analyst
QuadReal Property Group
Calgary, AB · Vancouver, BC · Toronto, ON
Full-time
Experience working with Power Platforms/PowerApps, Liferay digital platform, treasury applications, other specialized real estate software and/or BI/visualization tools is an asset.
Added 5 days ago
Data Analyst - Portfolio Reporting, Real Estate Debt
QuadReal Property Group
Vancouver, BC
Full-time
…private markets. QuadReal invests directly through operating platforms in which it holds an ownership interest and via programmatic…
Added 19 days ago
Data Scientist
NRG Energy
Calgary, AB
Full-time
…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…
Added 3 days ago
Director, Engineering Performance & AI Metrics
Canadian Tire Corporation
Toronto, ON
Full-time
…operating model decisions, using enterprise delivery and analytics platforms including Power BI, Atlassian, and other engineering…
Added 12 days ago
Senior Product Delivery Manager
Manulife
Toronto, ON
Full-time
…Product Delivery Manager supporting Investment Law & Compliance platforms. This role offers a unique opportunity to work at the intersection of business, technology, and investment…
Added 2 days ago
PowerBI Developer
CGI
Toronto, ON
Full-time
CGI is seeking an experienced Application Developer specializing in Microsoft Power BI to support business and technical reporting. The role will focus on gathering and analyzing business…

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

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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.

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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

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