Data Science Intern

Bloom Energy • San Jose, CA

1d • Onsite

About The Position

Bloom Energy’s Services Business Intelligence team develops analytics, data products, AI solutions, and automation to help operate and scale the company’s global service organization. The team supports fleet performance, predictive maintenance, product optimization, supply chain and financial forecasting, maintenance planning, and executive reporting, working across engineering, operations, data engineering, product management, and data science.

This summer internship is fully on-site and starts in May or June. The intern’s primary project may involve developing and improving data science solutions for industrial applications such as fleet optimization, predictive maintenance, and operational efficiency. Work may include preparing and validating data, developing machine learning models, improving supporting workflows, and evaluating solution performance. The intern will deliver documented analysis, tested code, and recommendations for deploying or scaling the solution. Additional projects may also be assigned, and the project scope may change before the internship.

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Electrical Engineering, Applied Mathematics, Industrial Engineering, or a related field.
• Must be graduating between spring 2027 and summer 2028.
• Proficiency in Python and common data science libraries.
• Working knowledge of SQL, statistics, data preparation, and model validation.
• Strong problem-solving, communication, and collaboration skills.

Nice To Haves

• Coursework or project experience in machine learning, forecasting, anomaly detection, optimization, or time-series analysis.
• Familiarity with Git and cloud data platforms.

Responsibilities

• Prepare, explore, and validate operational and time-series data.
• Develop and evaluate machine learning models for industrial applications.
• Improve data and software workflows supporting model development and deployment.
• Write tested, reusable Python code and technical documentation.
• Present findings and recommendations to technical and business stakeholders.

What This Job Offers

• Career Level: Intern