Data Scientist - Internship

ON.energy is building the power infrastructure that makes the AI era possible. As AI demand surges past what the grid and traditional data centers can support, ON.energy provides a new class of power technology proven at gigawatt scale and trusted by the world's leading cloud and AI companies. Our systems are already deployed across 2.5 GW of hyper-scale campuses, validated by top U.S. national labs, and certified for grid-safe operation by major utilities. With real products in the field, we're scaling faster than the grid can, transforming power from a bottleneck into a competitive advantage for the companies building the future.

As a Data Science Intern, you will support the team across the full data workflow - from understanding the problem to preparing data, running analyses, and assisting with models - while learning and applying best practices in Data Science and Machine Learning.

Understanding the Context

Understand the business problem and the technical context of each project.

Data ingestion and Structuring

Analyze and document the available data sources.

Extract information from structured files, databases, and APIs.

Organize and structure datasets for subsequent analysis.

Assist in the ingestion and acquisition of the data required for each project.

Data Quality and Cleaning

Carry out data-cleaning tasks: handling missing values, duplicates, and inconsistencies.

Validate the quality, integrity, and consistency of the information.

Identify and report data issues, as well as any relevant findings.

Analysis and Visualization

Perform exploratory data analysis to identify patterns and anomalies.

Build visualizations that make the data easier to interpret.

Help produce and, where possible, automate statistical reports to support the commercial team.

Modeling and Experimentation

Support the preparation and transformation of data for analytical and predictive models.

Take part in Machine Learning and Deep Learning experiments.

Help run, evaluate, and monitor existing models.

Contribute to predictive maintenance through anomaly-detection, prognosis, and classification models.

Maintenance and Continuous Improvement

Help keep production AI algorithms running and suggest improvements.

Document processes, methodologies, assumptions, and results.

Collaborate with the team on analysis, modeling, and continuous-improvement activities.

Learn and apply best practices in Data Science and Machine Learning.

Projects You May Support

You will likely contribute to two projects: (1) ERCOT market fundamentals analytics, and (2) predictive maintenance.

Requirements

Currently in the final (last) semester of a degree program in Mathematics, Statistics, Physics, Engineering, Data Science, or a related quantitative field. 

Solid foundation in quantitative and analytical methods gained through coursework in the field of study above.

Nice to Have

Prior research experience, whether academic (i.e., thesis, lab, published work) or applied, is a plus!

For US-based roles - What you'll get:

Competitive salary + annual performance-based bonus eligibility

Medical, dental, and vision insurance

401(k) with company match

Paid time off and company holidays

For Mexico-based roles - What you'll get:

Competitive salary + annual performance bonus eligibility

Christmas Bonus (Aguinaldo): 30 days

Major medical expenses and life insurance

Paid time off and holidays (per local policy)

For all roles:

Professional development and growth opportunities

Opportunity to grow with a mission-driven team shaping the future of clean energy

Accommodations: If you need an accommodation during the application process, email recruitment@onenergystorage.com

Benefits vary by role and location and are subject to change.