Data Science Intern
About The Position
The Services Business Intelligence team develops analytics, data products, AI solutions, and automation to help Bloom Energy operate and scale its 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 expected to begin in May or June and is fully on-site at the listed office location. The intern will develop and improve 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 model-supporting workflows, and evaluating solution performance. The intern will deliver documented analysis, tested code, and recommendations for deploying or scaling a solution. Interns will have a primary summer project and may also work on additional projects; the project 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.
Nice To Haves
- Proficiency in Python and common data science libraries.
- Working knowledge of SQL, statistics, data preparation, and model validation.
- Coursework or project experience in machine learning, forecasting, anomaly detection, optimization, or time-series analysis.
- Familiarity with Git and cloud data platforms.
- Strong problem-solving, communication, and collaboration skills.
Responsibilities
- Prepare, explore, and validate operational and time-series data.
- Develop and evaluate machine learning models for industrial applications.
- Improve data and software workflows that support model development and deployment.
- Write tested, reusable Python code and technical documentation.
- Present findings and recommendations to technical and business stakeholders.
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
