Data Science Intern

First review of applicants is October 31, 2025. All applicants who apply by this date will be reviewed. Applications after this date are reviewed as necessary.

This is a 10-week internship starting June 8 or 15 and is fully on-site at the listed office location.

Company Overview

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream—we’re making it a reality.

For over two decades, we’ve been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what’s possible by delivering energy abundance for all. With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled “time-to-power” capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm.

At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century.

Department Overview

The Business Intelligence team supports members of the Service Department by developing and implementing enhanced analytics and automation into Bloom’s service strategy. This includes tracking fleet performance, working with finance and supply chain forecasting models, developing maintenance plans, and optimizing product performance with industry standard applications and tools. The team is also responsible for databases, reports and visualizations to support Senior-Level reporting requirements.

Position Responsibilities

• Design and deploy machine learning algorithms for industrial applications such as predictive maintenance, and process optimization.
• Collaborate with cross-functional teams to deploy machine learning solutions to drive for optimum performance and reliability
• Assist in collecting, analyzing, and interpreting data to identify trends, patterns, and opportunities for process improvement
• Develop visually appealing and informative data visualizations to effectively communicate insights to stakeholders
• Prepare and maintain documentation related to business processes, data analysis methodologies, and findings

Minimum Qualifications

• Currently a student earning a bachelor’s or master’s degree in computer science, data science, statistics or a related discipline.
• Must be graduating between spring 2026 and summer 2027

Desired Qualifications

• Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning)
• Strong mathematical background (linear algebra, calculus, probability, and statistics)
• Proficiency in Python and objected-oriented programming, e.g. JavaScript
• Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, etc.
• Experience with version control software, Github/Gitlab
• Ability to drive a project and work both independently and in a cross-functional team
• Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment.
• Excellent verbal and written communication
• Experience with scalable ML (MapReduce, Spark) is a plus
• A portfolio of projects (GitHub, papers, etc.) is a plus
• Energy industry class, research or work experience is a plus

Visa Sponsorship
Bloom Energy is unable to provide VISA sponsorship to interns or new grad hires on an F-1, J-1 or other visa for this position, regardless of CPT or OPT status.

EOE Statement
Bloom Energy is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to compliance with all applicable laws providing equal employment opportunities. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability. Bloom Energy makes reasonable accommodation, consistent with applicable laws, for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions, unless undue hardship would result.

Salary Statement with pay range
Bloom Energy is committed to fair and equitable compensation practices. The total compensation for this position is based on various factors including, but not limited to, relevant skills and experience.

The pay range for this position $36 - $50 per hour.

Salary Ranges:

$45.75 - $50.00