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About Rodan Energy Solutions

Rodan Energy is a prominent energy services company in North America, dedicated to making sustainability achievable. With over two decades of experience, the company offers innovative solutions that help clients lower energy expenses and greenhouse gas emissions, promote electrification, and improve grid efficiency. Their clientele includes some of the largest energy users, power producers, and utilities across North America.

Why Work with Rodan

Join a booming industry focused on innovation and sustainability in energy management.
Work with a company boasting a 98% client retention rate and steady year-over-year growth.
Collaborate with talented, passionate colleagues committed to excellence and sustainable practices.

Role Overview

The position entails collaborating on operational workflows such as facility data aggregation, production system integration, and onboarding clients. The focus is on identifying ways to optimize processes, developing tools that enhance efficiency, data quality, and team performance. Candidates will be expected to learn quickly, document processes and solutions clearly, create usable prototypes and automations, and communicate effectively with technical and non-technical teams.

Primary Responsibilities

Analyze and document workflows involving production triage, client onboarding, data issue resolution, exception handling, and client reporting.
Identify manual or repetitive tasks suitable for automation or AI-assisted routing.
Standardize operating procedures to ensure consistency across teams.
Create process maps, exception handling logic, and handoff documentation usable after the placement.
Develop automation workflows utilizing Azure native tools, scripting, and approved AI technologies.
Extract key data from various sources, automate ticket handling, classify incoming work, and generate actionable summaries.
Implement multi-step agentic AI workflow patterns including intake, classification, data lookup, exception routing, escalation, and status reporting.
Design AI assistants and knowledge search tools to enhance accessibility and reuse of procedures and documentation.
Assist in creating data quality monitoring tools for issues like missing data, delays, communication failures, and recurring exceptions.
Support the generation of alerts, exception reports, and dashboards to improve operational visibility.
Execute projects from a prioritized backlog focused on AI, automation, and data services improvements with clear goals and success criteria.
Prepare demos, detailed documentation, and recommendations for ongoing enhancement of solutions.
Collaborate with Data Services, Business Development, Software, IT, and operational teams via meetings, progress updates, and presentations.
Report risks, assumptions, blockers, and decisions early, especially when automation risks data quality or customer commitments.

Required Skills and Qualifications

Currently enrolled in Computer Science, Engineering, Data Analytics, Information Systems, AI, Software Engineering, or related degree programs.
Participation in a recognized co-op program.
Strong analytical and problem-solving skills capable of structuring ambiguous operational challenges.
Basic experience in scripting or programming languages such as Python, SQL, or JavaScript.
Comfort with handling data in Excel, databases, APIs, reports, or operational systems.
Effective communication and documentation skills.
Demonstrated proactive attitude with thorough follow-through, mature questioning, proper documentation, and timely escalation of issues.

Preferred Qualifications

Familiarity with Power Automate, Power BI, Microsoft 365 automation, workflow tools, or similar platforms.
Knowledge of AI/ML concepts, generative AI, agentic AI, prompt engineering, retrieval-augmented generation (RAG) and knowledge-search patterns or automation technologies.
Interest in energy systems, utilities, data operations, metering, demand response, or market operations.
Experience in mapping workflows, developing SOPs, building dashboards, or improving operational processes.
Ability to quickly learn new technologies and adapt to shifting project needs.

Term, Compensation, and Work Details

Duration: 4 months (September to December 2026)
Compensation: $25.00 to $29.00 per hour, depending on study year, experience, and company equity considerations
Work Hours: 40 hours per week
Location: Mississauga, Ontario, Canada
Work Arrangement: Onsite, five days a week

Company Culture and Benefits

Celebratory events throughout the year including parties, team dinners, bowling, go-karting, and golf tournaments.
Opportunities for learning and professional growth through lunch and learns, challenges, and education funding.
Engagement in community giving via organized food drives and charity fundraisers accessible for all employees.

Hiring Process and Accommodations

Successful candidates will undergo a background check including criminal record and credential verification and may need to complete a practical assignment to demonstrate problem-solving and strategic skills. The company is committed to inclusivity and accessibility in recruitment and employment, providing accommodations when requested to uphold dignity, independence, and equal opportunity.

Applicants interested in applying should submit a resume, cover letter, and unofficial transcript as a single attachment.

Data Services AI - Co-op Student

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