Data Science Intern
About The Position
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. 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.
Requirements
- 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
Nice To Haves
- 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
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
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What This Job Offers
Career Level
Intern
Industry
Electrical Equipment, Appliance, and Component Manufacturing
Number of Employees
1,001-5,000 employees
