2026 Summer Intern, Data Science

Ready to make a difference?  

We are seeking a motivated Data Scientist intern to join our Energy Analytics team. In this role, you will support client-facing projects that accelerate the transition to a smarter, cleaner electric grid. You’ll work across the full data pipeline—from engineering and analysis to visualization—while engaging directly with project managers to implement high-impact solutions in distributed energy resources (DER), electric vehicle (EV) integration, and load flexibility. 

This is an entry-level, 10-week, full time internship that begins in early June 2026. Work will be remote from the United States. Pay is expected to be $28 per hour. At this time, relocation nor housing assistance is available for this position.  

What you will be doing:  

• Support client projects across energy, electrification, and DER domains through: 
• Data Engineering: Design and implement scalable data pipelines to ingest, clean, and transform large datasets using Python, SQL, and Databricks 
• Data Science & Analytics: Conduct exploratory data analysis to uncover trends and patterns, develop predictive models and machine learning solutions that drive actionable insights, and build AI-powered agents to optimize decision-making in energy systems 
• Data Visualization: Create intuitive, high-impact dashboards and reports in Power BI and Microsoft Fabric to effectively communicate insights and support data-driven decisions 
• Attend regular stakeholder meetings and collaborate with project managers to understand goals, manage timelines, and incorporate feedback 
• Translate client requirements into well-structured analytics tasks and deliverables 
• Write clean, maintainable, and well-documented code while optimizing workflows for performance and scalability 
• Manage and prioritize a diverse set of technical assignments across multiple projects 
• Work with cross-functional teams including data engineers, scientists, and policy experts to ensure high-quality client deliverables 
• Stay up to date on tools, trends, and best practices in energy analytics and visualization 

Basic Qualifications:  

• By start date, acceptance/ enrollment verification, or at least 9 credit hours of completed graduate-level courses in Data Science, Computer Science, Engineering, Statistics, or a related field 
• A completed bachelor’s degree  
• Candidate must be a US citizen, reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S. per contract requirements 

Preferred Qualifications: 

• Proficiency in Python and SQL 
• Hands-on experience using Python Pandas for data manipulation and NumPy for numerical computing 
• Ability to write clean, maintainable code and collaborate in cross-functional teams 
• Excellent communication and organizational skills to support client meetings and deliverables 
• Effective time management and ability to adapt to changing priorities 
• Experience working in cloud environments such as Azure, AWS, or Google Cloud Platform, including deploying and managing data workflows 
• Proficiency in using Databricks for scalable data processing, analytics, and collaborative development 
• Familiarity with large-scale data analytics frameworks like Apache PySpark for distributed computing and big data processing 
• Understanding of AI/ML concepts, including model development and building intelligent agents to solve complex problems 
• Experience designing and building interactive dashboards and reports using Power BI to visualize complex data and support decision-making 
• Experience working with and supporting Agile development teams 
• Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space 
• The ability to work closely with and explain technical concepts/solutions to non-technical client stakeholders