DataScientist-Time-Series
COOP/ Internship
Hybrid - Brampton
We’re looking for a highly motivated co-op student with a strong foundation in statistics, mathematics, or computer science, and a passion for time-series modeling and AI applications in real-world systems. As a co-op/intern on our team, you’ll support the development and benchmarking of models for forecasting energy, alarms, and other temporal signals. You’ll experiment with statistical baselines and modern deep learning approaches, help prepare datasets, evaluate model performance, and contribute to rapid experimentation workflows. This is an ideal role for students who’ve completed coursework in AI or statistics, and who’ve explored side projects or research in ML, forecasting, or data analysis.

ABOUT US:

Themis Intelligence (a Survalent Company) is pioneering a new era of grid modernization through Human-Guided Intelligence (HGI) – blending AI with the real-world insight of utility operators. Our mission is to help utilities operate with greater foresight, resilience, and confidence by turning vast streams of operational data into reliable, actionable intelligence. Built for the physics of the grid and the people who manage it, our platform supports critical workflows: from forecasting and alarm analysis to outage response and SCADA-centric analytics – with AI agents designed specifically for utility environments. By combining deep technical rigor with an understanding of physical infrastructure, we enable smarter, faster decisions that drive safer and more efficient power delivery.
Backed by Survalent’s long-standing leadership in ADMS, Themis Intelligence offers a modern foundation for data-driven decision-making in one of the world’s most essential sectors. We’re building tools that matter – systems that learn, adapt, and scale in lockstep with the evolving grid. For those passionate about solving high-impact problems at the intersection of AI, data, and energy, this is where your work can power the future.
Survalent values a diverse workplace and strongly encourages women, people of all races, color, creed, ancestry, ethnic origin, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, marital status, family status, and those with disabilities to apply. Survalent is an equal opportunity employer. We are committed to providing accommodation for people with disabilities. If you require accommodation, we will work with you to meet your needs.

Time-SeriesModeling&Evaluation

• Assist in training and evaluating various time-series models (forecasting and clustering)
• Analyze model performance using robust metrics (MAE, RMSE, MAPE, etc.).
• Explore feature engineering techniques like lagging, windowing, and temporal aggregation.