2027 Winter Student Program - Waste Management Area (WMA) Operational Support Student

Chemical Engineering.

Chemistry.

Geochemistry.

Environmental Sciences.

Environmental Engineering.

Data Science.

Applied Analytics.

Or a related interdisciplinary program.

Experience Experience gained through academic projects, co-op placements, internships, research activities, or personal projects involving data analysis, software development, automation, engineering, environmental sciences, or decision-support systems. Experience working with structured information, databases, workflows, business logic, or technical documentation is considered an asset. Exposure to AI-assisted technologies, automation, or decision-support tools is considered an asset.

Experience gained through academic projects, co-op placements, internships, research activities, or personal projects involving data analysis, software development, automation, engineering, environmental sciences, or decision-support systems.

Experience working with structured information, databases, workflows, business logic, or technical documentation is considered an asset.

Exposure to AI-assisted technologies, automation, or decision-support tools is considered an asset.

Knowledge, Skills & Abilities Demonstrated analytical and problem-solving skills. Strong ability to interpret technical, operational, and regulatory documentation. Demonstrated logical thinking skills with an interest in decision rules, acceptance criteria, and structured workflows. Proven ability to organize complex information into clear, traceable, and structured formats. Demonstrated ability to work with tables, schemas, datasets, and rule-based systems. Basic proficiency in programming, scripting, or logic development using tools such as Python, pseudocode, or related technologies. Strong written and verbal communication skills. Demonstrated ability to prepare clear, accurate, and user-friendly documentation. Proven ability to collaborate effectively with multidisciplinary teams and subject matter experts. Applied knowledge of AI-assisted tools, automation concepts, or decision-support systems is considered an asset. Demonstrated attention to detail and commitment to producing high-quality work in a structured environment. Strong organizational and time management skills with the ability to manage multiple priorities and deadlines.

Demonstrated analytical and problem-solving skills.

Strong ability to interpret technical, operational, and regulatory documentation.

Demonstrated logical thinking skills with an interest in decision rules, acceptance criteria, and structured workflows.

Proven ability to organize complex information into clear, traceable, and structured formats.

Demonstrated ability to work with tables, schemas, datasets, and rule-based systems.

Basic proficiency in programming, scripting, or logic development using tools such as Python, pseudocode, or related technologies.

Strong written and verbal communication skills.

Demonstrated ability to prepare clear, accurate, and user-friendly documentation.

Proven ability to collaborate effectively with multidisciplinary teams and subject matter experts.

Applied knowledge of AI-assisted tools, automation concepts, or decision-support systems is considered an asset.

Demonstrated attention to detail and commitment to producing high-quality work in a structured environment.

Strong organizational and time management skills with the ability to manage multiple priorities and deadlines.

Security Clearance Eligibility Required Reliability Status with Site Access Security Clearance (SASC), which has a minimum requirement of 3-5 years of verifiable history in Canada, Australia, New Zealand, the United States and/or the United Kingdom. CNL implements security screening in accordance with the Treasury Board of Canada Secretariat's “Standard on Security Screening” and the “Policy on Government Security.”

Reliability Status with Site Access Security Clearance (SASC), which has a minimum requirement of 3-5 years of verifiable history in Canada, Australia, New Zealand, the United States and/or the United Kingdom. CNL implements security screening in accordance with the Treasury Board of Canada Secretariat's “Standard on Security Screening” and the “Policy on Government Security.”