IIIIIIUS-posted 2 months ago
$41,614 - $70,744/Yr
Full-time • Intern
VA

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.

  • Support client projects across energy, electrification, and DER domains.
  • Design and implement scalable data pipelines to ingest, clean, and transform large datasets using Python, SQL, and Databricks.
  • Conduct exploratory data analysis to uncover trends and patterns, develop predictive models and machine learning solutions that drive actionable insights.
  • Create intuitive, high-impact dashboards and reports in Power BI and Microsoft Fabric to effectively communicate insights.
  • 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.
  • 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.
  • 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.
  • Pay is expected to be $28 per hour.
  • Remote work from the United States.
  • Equal opportunity employer.
  • Reasonable accommodations available for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs.
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