Business Unit: Information and Technology Services Shift Work: N/A We are charged with purpose , delivering reliable, affordable, and sustainable electricity for homes, businesses, and communities across the province. Our central role includes managing the provincial power grid in real-time, overseeing and evolving Ontario’s electricity market, engaging with government, municipalities and Indigenous communities, and planning for Ontario’s future electricity needs. This is a unionized position that falls within theSmart Metering Division in the Information and Technology Business Unit.

The Lead Data

Scientist reports to the Senior Manager, Data & Analytics in the SME groups and is accountable for scoping, design, and implementation of models and/or algorithms to obtain the necessary inputs or results for various smart meter data use cases. This includes ensuring data quality and accuracy, complete requirements, knowledge of data warehousing and data mart systems and preparation of various extracts, reports and analysis for both internal and external audiences. The incumbent is responsible for ensuring the timely and accurate production and availability of data and analytics products in support of the SME’s data program success and value.

The IESO is looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.Specifically, this role will support the Smart Metering team at the IESO, focusing on maximizing the value of the Smart Meter Data Repository for the IESO and external third parties.

Lead Data

Scientist responsibilities include conducting full lifecycle analysis to include requirements, activities and design for smart meter data use cases. They will develop analysis and reporting capabilities alongside the Data Analyst. They will also monitor performance and quality control plans to identify improvements.





The successful candidate will turn data into information, information into insight and insight into business decisions. Be an engaging member of the Smart Metering team. Support the development of the Smart Meter Data products and use cases.

Lead and manage internal and external working groups and provide the Smart Metering perspective by participating in various stakeholder engagements that impact the collection and use of all data stored in the MDM/R. This may include problem resolution, training, and quality checks on their work. Work with SMEs within and outside Smart Metering as necessary to integrate new technology into the MDM/R or data sets resulting from analytics into downstream processes.

Provide guidance to other business units on Smart Meter data and the MDM/R and applicable use cases Provide support, as required to other business units, agencies, and market participants to fulfill strategic plans. Interpret data, analyze results using statistical techniques and provide ongoing reports Develop andimplementdatabases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Acquiredata from primary or secondary data sources and maintain databases/data systems Identify, analyze, and interpret trends or patterns in complex data setsWork with management toprioritizebusiness and information needs Locate and define new process improvement opportunities BS in Mathematics, Economics, Computer Science, Information Management or Statistics. You have a deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms. ~ Proven working experience as a Data Scientist, Data Analyst,



Business Data Analyst, and/or other equivalent experience. ~ Technical expertise regarding data models, database design development, data mining and segmentation techniques ~ Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc) ~ Adept at queries, report writing and presenting findings ~8- 10 years of experience in a planning, regulatory, research, or analytical workplace is typically required to complete the responsibilities of the job.

An advanced degree in engineering, computer science or related disciplines Extensive knowledge of cloud computing (preferable Microsoft Azure), Databricks and AI/ML model development. From a comprehensive total rewards program to dynamic learning and development opportunities—including job rotations to broaden your expertise,we empower you to define and shape your own success. Best-in-class benefits and long-term support in the form of a defined benefit pension plan.

IESO will not conduct interviews or offer positions via online, text, chat or social media platforms. We will not gather personal information directly from candidates or potential candidates. The IESO currently has a 3-day in-office work week for applicable roles.

Over the course of 2026, the IESO will advance plans to acquire additional office space to accommodate more in-office time. While the timeline for moving to a full 5-day in-office model has not yet been established, we are committed to keeping employees and candidates informed as plans progress and give them as much advance notice as possible to prepare for any changes. At the IESO, we know that achieving great results depends on embracing diversity by attracting, developing, and retaining people from a wide variety of backgrounds.

We do this by ensuring our recruitment and advancement policies are fair and equitable, and by creating an accessible and inclusive environment— one that values every team member’s unique skills and experiences and ensures they have the support they need to achieve their potential.

📌 Lead Data Scientist (Healthcare) (Oakville)
🏢 Independent Electricity System Operator
📍 Oakville