Data Scientist - Internship

ON.energy; Ciudad de México; Presencial; MXN 134.000 - 201.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary + annual bonus

Major medical expenses and life insure

Paid time off and holidays

Professional development opportunities

Descripción de la vacante

ON.energy is building the backbone of energy and AI infrastructure powering data centers and mission-critical facilities. 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.

You will learn and apply best practices in Data Science and Machine Learning, perform data ingestion, cleaning, exploration, and contribute to predictive maintenance and anomaly-detection projects.

Formación

• Solid foundation in quantitative methods gained through coursework.
• Strong analytical mindset and problem-solving ability.
• Ability to structure and analyze data across projects.

Responsabilidades

• Understand business problems and data context for each project.
• Analyze and document available data sources and workflows.
• Ingest, clean, and structure data for analysis.
• Perform exploratory data analysis and build visualizations.
• Assist in modeling, experiments, and evaluation of models.
• Document processes and results; collaborate on continuous improvement.

Conocimientos

Quantitative analysis

Data science basics

Research experience

Educación

Final semester in Mathematics, Statistics, Physics, Engineering, Data Science, or related field

Descripción del empleo

ON.energyis building the backbone of energy and AI infrastructure powering grid-safe data centers and mission-critical facilities. The company supplies and operates hyperscale power systems that solve the toughest resilience challenges, delivering custom solutions for AI data centers, mission-critical facilities, and front-of-the-meter assets. ON recently announced a 5GW partnership, with 3GW currently under construction across multiple hyperscale data center campuses. With patented technology and proprietary software,ON.energydevelops projects worldwide that set new benchmarks for resilience.

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
• 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
• Equal Opportunity: ON.energy is committed to equal employment opportunity and to maintaining a work environment free of harassment, discrimination, or retaliation.
• Benefits vary by role and location and are subject to change.

Agency Notice:

ON.energy does not accept unsolicited resumes from staffing agencies, search firms, or third-party recruiters. Resumes submitted without a fully executed Master Services Agreement (MSA) and a written request from an authorized member of our Talent Acquisition team will be considered the property of ON.energy. No placement fees or compensation will be paid for unsolicited candidate submissions.