On-Site Data Science Intern - Industrial AI (Summer)

Bloom Energy Corporation; San Jose (CA); On-site; USD 50,000 - 69,000; Full time

Job summary

Bloom Energy in San Jose is seeking a Data Science Intern for a summer on-site role starting May/June. You will work on developing and validating data science solutions for industrial applications, including time-series data, predictive modeling, and workflow improvements.

You should be pursuing a Bachelor’s or Master’s degree in a related field and be able to graduate between spring 2027 and summer 2028. Proficiency in Python, SQL, and Git, plus a collaborative mindset and strong communication,

Qualifications

• Pursuing a Bachelor’s or Master’s in a relevant field (Data Science, CS, Stats, EE, Applied Math, Industrial Engineering).
• Candidates must be able to graduate between spring 2027 and summer 2028.
• Strong problem-solving and collaboration skills are expected.

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.

Skills

Python

SQL

Git

Education

Bachelor’s or Master in Data Science/CS/Statistics/EE/Applied Math

Tools

GitHub

Cloud data platforms

Job description

Bloom Energy in San Jose is seeking a Data Science Intern for a summer on-site role starting May/June. You will work on developing and validating data science solutions for industrial applications, including time-series data, predictive modeling, and workflow improvements.

You should be pursuing a Bachelor’s or Master’s degree in a related field and be able to graduate between spring 2027 and summer 2028. Proficiency in Python, SQL, and Git, plus a collaborative mindset and strong communication,