Job Description

Toast is recruiting on behalf of a growing technology company in the energy and utilities sector. The company builds rugged, sensor-driven monitoring systems deployed on high-voltage electrical infrastructure, using grid signals to detect early signs of failure and help utilities improve reliability, reduce outages, and mitigate wildfire risk. With proven core technology now entering its scaling phase, this small but fast-moving team is based in Kelowna, British Columbia, and works hands-on with utility partners across real-world deployments. They are seeking a Junior Data Analyst to turn field and lab data into actionable insights that support utilities, product development, and machine learning workflows.

Responsibilities

Analyze lab and field data from sensor systems deployed on high-voltage infrastructure
Support data science workflows including model training, evaluation, and reporting
Build dashboards and visualizations that help internal teams and utility partners understand system performance
Prepare, clean, label, and organize datasets for analysis and machine learning
Package analysis results into clear reports, dashboards, and customer-facing insights
Work with engineers and data scientists to understand signal quality, field behaviour, and asset conditions
Use Git and standard development workflows to collaborate with the technical team
Contribute to software and data tools that support pilots, deployments, and product development
Support model development using tools such as PyTorch Lightning
Travel occasionally for field deployments, utility meetings, team planning, and project work
Collaborate across teams to understand different utility environments, customer needs, and deployment contexts

Requirements

2+ years of industry experience in data analysis, data science, software, or a related technical role
Experience with data science workflows including data preparation, model training, and analysis
Some software development experience
Experience using Git
Familiarity with PyTorch Lightning or similar machine learning frameworks
Programming experience in one or more of Python, C++, Java, or PHP
Ability to work well in cross-functional teams
Strong communication skills and the ability to explain technical findings clearly
Willingness and ability to travel occasionally
Hybrid work setup with Tuesdays generally in office, though remote work is possible for this role
It is considered an asset if you have experience working with utilities, energy systems, asset management, or industrial infrastructure
Exposure to sensor data, IoT systems, or field-deployed hardware would be a plus
Candidates with experience building dashboards for technical or operational users will stand out
Previous experience contributing to product-grade code is nice to have
Comfort working in a fast-moving startup environment where priorities evolve quickly is an asset

Benefits

5 weeks of vacation per year plus a mandatory paid Christmas shutdown, well above the typical 2 to 3 weeks offered for junior roles
Remote-friendly work arrangement with travel covered for company quarterlies, planning sessions, and field work
Tangible impact: the models you train and dashboards you build will run on data from live high-voltage infrastructure, directly informing decisions that prevent outages and reduce wildfire ignition risk in real communities
Your work will not sit in a slide deck. It will shape how utilities monitor and protect critical assets, and you will see the results in actual field deployments