The successful candidate will take on key responsibilities including performing power flow, short-circuit, contingency, transfer, and stability studies, conducting bulk power system studies, and carrying out advanced studies using PSS®E, DSATools, and PSCAD.
Locations (11)
Surrey, British Columbia, Canada
Vancouver, British Columbia, Canada
Toronto, Ontario, Canada
Montreal, Quebec, Canada
Calgary, Alberta, Canada
Charlottetown, Prince Edward Island, Canada
Show all 11 locations
Edmonton, Alberta, Canada
Ottawa, Ontario, Canada
Winnipeg, Manitoba, Canada
Victoria, British Columbia, Canada
Regina, Saskatchewan, Canada
Compensation
Salary scale :
$89,910 - $113,730 (P2)
109,680 -138,720 (P3)
131,100 - 165,810 (P4)
Profit-Sharing Incentive Plan (PSIP): As an independent commercial company competing in the open market, Powertech shares financial success directly with employees. The Senior role is eligible for the PSIP with awards based on company performance, individual performance, and role level.
Responsibilities
Perform power flow, short-circuit, contingency, transfer, and stability studies
Conduct bulk power system studies using industry-standard software tools
Carry out advanced and specialized studies using tools such as PSS®E, DSATools, and PSCAD
Support and contribute to model development
Develop and recommend system upgrade strategies and mitigation plans
Requirements
Masters or PhD in Electrical Engineering with a focus on Power Systems
Lead design, development, and integration of complex cloud subsystems, mentor team members, and drive innovation in software systems.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– Canada: Annual Salary CAD 141,500 - 283,500
Responsibilities
Leads the project team for design and development of complex products and platforms, including solution design, analysis, coding, testing, and integration for building efficient, scalable and robust cloud subsystems.
Reviews and evaluates designs, test plans, and develops code for compliance with cloud design and development guidelines and standards.
Provides tangible feedback to improve product quality and mitigate risks.
Represents the engineering team in various technical forums and provides guidance and mentoring to less-experienced team members.
Drives innovation and integration of new technologies into projects and activities in the software systems design organization.
Requirements
Bachelor's or master's degree in computer science, engineering, information systems, or closely related quantitative discipline
The AI Accelerator Analyst builds practical AI solutions and provides trusted advice. The role combines hands‑on AI skills, analytical thinking, a focus on user needs and sound risk management.
Compensation
79 100 $/$79,100 - 111 700 $/$111,700 CAD
Responsibilities
Build AI solutions: Create reusable prompts, copilots, analytical tools and prototypes. Test them, gather feedback, improve them and document how to use them.
Use advanced analytics: Use Python, PySpark and Databricks to explore data, automate work and support AI use cases. Turn findings into clear recommendations.
Stay current on AI tools: Build hands‑on knowledge of different AI tools, test new features and explain where each tool adds value.
Manage AI risks: Assess risks related to privacy, bias, unreliable outputs and regulation. Include the right controls, testing and escalation steps.
Provide practical advice: Explain recommendations clearly and suggest workable alternatives when needed.
Requirements
Bachelor's or master's degree in a relevant field, or an equivalent combination of education and experience.
Own and improve components of our internal developer platform, using AI coding agents to deliver useful, tested changes at pace.
Compensation
In line with the amended Employment Standards Act 2000, the salary range for this role is: $120K-$140K, dependent on assessment of skills during the interview process.
Responsibilities
Deliver platform features from clarified requirements through implementation, testing, rollout and support
Agree acceptance criteria and keep changes small enough to review
Use AI agents to investigate repositories, implement changes, write tests and improve documentation
Build reusable Terraform modules, CI/CD templates and platform APIs or command-line tools that replace recurring manual work
Operate cloud and Kubernetes services, including GitOps with FluxCD
Operations and Procurement Senior Associate role focused on optimising operational efficiency and effectiveness for clients, involving analysis, strategy development, and implementation support.
Compensation
The salary range for this position is $87,700 - $137,700.
Responsibilities
Leading or supporting defined components or workstreams of client engagements
Structuring ambiguous client problems into clear questions, analyses and practical workplans
Developing strategic plans, operational frameworks, and implementation roadmaps
Building trusted relationships with client counterparts and work directly with stakeholders
Preparing clear, concise and client-ready materials for working-level and executive audiences
Requirements
Bachelor's degree in business, Finance, Administration, Operations Management, Public Policy, Political Science, Science, Education, or a related discipline
Hands-On Data and Analytics Technical Manager with expertise in developing, architecting and implementing data and analytics solutions for clients while also advising in developing the strategic data and analytics roadmaps.
Compensation
Compensation Range: $98,000 - $180,400
Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.
Responsibilities
Lead overall project teams and/or technical teams through the definition and implementation of data and analytics solutions.
Serve as the technical architect for data and AI assessments, translating findings into strategies and roadmaps.
Conduct rapid data and analytics assessments to identify gaps and inform roadmap development.
Stay abreast of emerging trends, technologies, and industry developments in big data, cloud computing, and assess their potential impact on the organization.
Develop and maintain data management, data governance, and data security with best practices, standards, and guidelines aligned with regulatory requirements and industry standards.
Join us as a Principal DevOps Engineer (AI/ML Infrastructure), where you'll play a pivotal role building out, maintaining and operating our AI infrastructure, that is part of the Signals Platform. This is your chance to work closely with a dedicated team of experience developers building out AI capabilities within our product.
Compensation
The base salary range for this full-time position is $130,000 - $165,000 CAD.
Responsibilities
Architect, design, and lead the implementation of scalable, secure, and resilient infrastructure for AI/ML workloads
Build and maintain the continuous integration and continuous deployment (CI/CD) pipelines specifically for AI models, managing everything from data ingestion to model serving and monitoring
Act as a subject matter expert and mentor for junior engineers, driving the adoption of best practices for AI/ML platform development, code management, and deployment
Work closely with AI researchers, and software engineers to optimize performance and streamline the end-to-end development and experimentation process
Ensure the reliability, security, and performance of AI systems
This role provides the opportunity to support analytics-enabled initiatives by developing and delivering data analysis and models that address defined business needs post audit closure.
Compensation
Base salary range is expected to be between $94,430.00 CAD - $144,430.00 CAD
Responsibilities
Develop and implement analytics-enabled solutions to improve business processes, generate insights, and support business strategy
Own and deliver end-to-end analytics projects of moderate complexity, while contributing to larger, more complex initiatives
Analyze large and complex datasets to generate actionable insights and translate findings into clear business recommendations
Collaborate closely with business stakeholders and subject matter experts to understand data sources, processes, and business needs
Requirements
Degree in Statistics, Mathematics, Computer Science, Engineering, or a related field
Bachelor’s degree with equivalent technical experience
The Quantitative Analytics team within Financial Risk provides quantitative financial modelling and analytics capability to a variety of stakeholders in Group Risk, Group Finance and Business Units. The team focuses on model, methodology and application development to support liability valuation, risk measurement, insurance product pricing and decision making.
Compensation
Base salary range is expected to be between $73,725.00 CAD - $122,875.00 CAD
Responsibilities
Develop sophisticated models to generate economic scenarios for multiple asset classes, enhancing our valuation, pricing, capital, and risk reporting capabilities.
Innovate calibration methodologies and tools for model inputs to ensure accuracy and reliability.
Maintain transparency and facilitate model risk management and audits by meticulously documenting risk models and processes.
Champion continuous improvement initiatives to drive efficiency and effectiveness within the risk modeling function.
Collaborate on ad-hoc projects, providing quantitative expertise to business partners, senior management, and industry working groups.
Requirements
Master or Ph.D. in Quantitative/Mathematical Finance, Mathematics, Statistics, or a related field
Support ongoing research projects at the Centre for Media, Technology and Democracy, collecting, cleaning, and analyzing data on the Canadian media ecosystem.
Compensation
$25.00
Responsibilities
Support ongoing CMTD research projects
Collect, clean and analyze data
Contribute to research outputs, including reports and briefs
Communicate findings with team members, receive feedback, and converge on defensible conclusions
Provide general support to research activities where needed
Requirements
Current MPP student at the Max Bell School of Public Policy
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