Description

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

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.

We will consider for employment qualified applicants with arrest and conviction records.

 

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.  

Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. 

 

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.  

However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.  

 

Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$41,614.00 - $70,744.00

Nationwide Remote Office (US99)