Note: The job is a remote job and is open to candidates in USA. Kelvolta is an energy technology company focused on uncovering and capturing measurable cost savings for energy-intensive commercial and industrial operations. The Data Science & Analytics Intern will work on ETL pipelines, Python-based analysis, and SQL queries involving real-world energy and operational datasets while contributing to production-level projects.
Responsibilities
- ETL pipelines that ingest, clean, and structure real-world energy and operational datasets
- Python-based analysis (pandas, numpy, matplotlib) on messy, real-world datasets
- SQL queries against production databases to power analytics workflows
Skills
- Upper-division undergraduate or graduate students in Computer Science, Data Science, Statistics, or Engineering with hands-on experience in at least two of the following: Python, SQL, ETL/data pipelines
- Commitment: 15-25 hours per week
- Duration: Minimum 10 weeks
- Start and end dates: Flexible within the summer window; preference for August start date
- Format: Remote · Part-time · Unpaid
- Candidates should be available for a ~15-minute initial interview the week of August 24–28. Please apply only if you can schedule that conversation
- Candidates who can interview the week of June 8 are strongly preferred
Benefits
- Hands-on experience working on real projects with meaningful impact
- Opportunities to take ownership and contribute to production-level work
- Direct mentorship from a CEO with 25 years of energy project development experience
- Exposure to real datasets and practical problem-solving
- A fast-paced environment that helps you grow quickly
- A strong portfolio of work you can speak to in interviews
- Eligibility for academic credit (8–10 units, subject to university approval)
- Priority consideration for extended or paid opportunities based on performance
Company Overview