CRWN.ai

Jr Data Analyst

Kelowna, British Columbia · Junior

Sponsorship not specifiedDetected 46 days ago

PythonJavaC++PHPGitMachine LearningPyTorchData AnalysisData ScienceCommunication

About the role

This is a hands-on role for someone early in their career who is technical, curious, and excited to work on real-world data from critical electrical infrastructure.
You will be helping connect field data, machine learning, product development, and customer insight into one practical workflow.

Support data science workflows, including model training, evaluation, and reporting
Build dashboards and visualizations that help internal teams and utility partners understand system performance
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
Collaborate across teams to understand different utility environments, customer needs, and deployment contexts
We build rugged, sensor-driven systems for high-voltage infrastructure where failure is not an option.
You will work closely with data scientists, engineers, and utility partners to help understand what is happening in the field and how our technology can improve reliability, asset performance, and wildfire risk mitigation.
You will not just be building dashboards in isolation.
You will have the opportunity to train models, build dashboards, analyze real deployment data, and help turn complex technical information into decisions utilities can act on.

2+ years of industry experience in data analysis, data science, software, or a related technical role
Experience working with data science workflows, including data preparation, model training, and analysis
Some software development experience
Experience using Git
Programming experience in one or more of the following: Python, C++, Java, 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

Experience working with utilities, energy systems, asset management, or industrial infrastructure
Exposure to sensor data, IoT systems, electrical infrastructure, or field-deployed hardware
Experience contributing to product-grade code
Familiarity with asset management workflows in utilities
Interest in applying data science to real-world infrastructure, reliability, and wildfire risk reduction
Startup experience or comfort working in a fast-moving environment where priorities evolve quickly
You will work on technology deployed directly on critical electrical infrastructure, where data has real-world consequences.
Our platform uses signals from the grid to detect early signs of failure, helping utilities improve reliability, reduce outages, and lower wildfire risk.

Everyone at the company receives 5 weeks of vacation plus a mandatory Christmas shutdown.
Prepare, clean, label, and organize datasets for analysis and machine learning workflows
We are looking for a Junior Data Analyst to help turn field and lab data into actionable insights for utilities, product development, and machine learning workflows.
Familiarity with PyTorch Lightning or similar machine learning frameworks

Our core technology is proven; now, we are scaling.
preparing and analyzing datasets, training models, building dashboards, packaging results, and helping translate complex technical data into something our team and customers can actually use.
Hint: If you really want to stand out, include a cover letter and make it authentic.

This listing is sourced directly from CRWN.ai's careers page and normalized into a canonical job model.