Clean Transportation Intern - Remote, US

Energy Solutions - USA; United States; Remote; USD 29,000 - 33,000; Full time

Job summary

Energy Solutions is seeking a Clean Transportation Intern in the United States to support data-driven policy analysis and program design for zero-emission transportation incentives. The role centers on building a GIS map of dealership relationships, visualizing GHG reductions, and analyzing program trends with real data.

You will work ~40 hours/week, gain hands-on experience with data modeling, Python or R, Excel, and ArcGIS, and collaborate with program managers to translate findings into

Qualifications

• Currently enrolled in an undergraduate program with focus on economics or mathematics.
• Strong research, writing, and analytical skills.
• Intermediate Excel and programming experience (Python and/or R).
• Interest in renewable energy, clean transportation, and incentive design.

Responsibilities

• Create a GIS map illustrating dealership relationships and GHG reductions.
• Analyze incentive program impacts using data and studies.
• Collaborate with program managers to test theories and forecast economic behavior.

Skills

Excel

Python

R

Economics coursework

Mathematics coursework

Research skills

Education

Economics coursework

Mathematics coursework

Tools

ArcGIS

Job description

Interested in joining a growing company where you will work with talented colleagues, enhance a supportive and energetic culture, and be part of the climate solution? At Energy Solutions, we focus on the big impacts. And we believe that market-based programs can be a powerful force to deliver large-scale energy, carbon, and water-use savings. Since 1995, we’ve harnessed that power to offer proven, performance-based solutions for our utility, government, and institutional customers.

Does data and eco-friendly transportation drive you… sometimes literally? Are you excited about the economic and mathematic side of real-world incentive programs? The Clean Transportation Intern will have great opportunities for a numbers-oriented student looking to gain practical program insights and experience.

In this full-time (~40 hours/week) role, you will create a GIS—that’s Geographic Information Systems—map which illustrates the combined impacts of our clean transportation incentive programs. The goal is to map our existing dealership relationships in proximity to customers, display the GHG emissions reductions for transitioning to zero carbon transportation modes, and develop a white paper comparing program trends to state and local policy goals.

To complement this project, you will deep-dive peer-reviewed studies to build an analysis on the impacts of incentives on vehicle purchases. You’ll gain a deep understanding of complex programs by speaking with program managers and using program data to test theories, forecast economic behavior, measure economic relationships, and model the impact of our incentives against a base case.

This experience will grant you:

• Hands-on practice using data modeling and visualization tools
• Knowledge of the CA transportation electrification landscape
• Daily collaboration with team members to support and understand program design decisions

Your work will result in:

• Measurable data on program impacts that can be shared with clients and support business development activities
• Informative project deliverables that may help shape program design decisions

To enable you for success, we are seeking candidates with these qualifications:

• Intermediate Microsoft Excel skills
• Skill in Python and/or R
• Currently enrolled or previously completed coursework in an economics or mathematics program
• Strong research, writing, and analytical skills

While not required, we love to see candidates with:

• An interest in renewable energy, clean transportation, and/or incentive program design
• Experience with ArcGIS or a similar tool

Compensation

• Undergraduate student: $21/hr
• Graduate student: $24/hr

In order to be eligible for this position, you must be:

• Currently enrolled full- or part-time in an undergraduate program as a second to fourth-year student or enrolled in a graduate program
  • Please note we are unable to accept applications from first-year undergraduate students or recent graduates who are not enrolled in a program
• A US Citizen or permanent resident
  • Please note we are unable to host international students
• Available to meet your weekly hours requirement between May and August for Summer and between September and November for Fall
• Motivated by the Energy Solutions' mission to reduce carbon emissions with an equity lens

You may apply to up to 2 positions per cycle.

Our Summer 2027 Internship opportunities are open until January 8, 2027 at 5:00 PM PST!

We will not accept late applications or make exceptions regarding the criteria. We reserve the right to close our applications before the deadline.

Please reach out to [e-mail] with any questions. Applications sent in via email or past the deadline will not be accepted.

If you are interested in a Fall position, check back in summer. Our Fall 2026 program application cycle opened in May 2026.

AI Use

At Energy Solutions we believe in the importance of authentic interactions and equitable opportunities. We base our candidate selection on one's own skills, knowledge, and experience. To ensure the integrity and fairness of our interview process, the use of artificial intelligence (AI) tools (including Generative AI) or other means to generate or assist with responses during interviews is strictly prohibited. This practice supports our commitment to create a transparent and equitable space where skills, knowledge and experience can truly shine.

Background Check Information

Information will be requested to perform the compulsory background check. A drug screen and authorization to work in the U.S. indefinitely are preconditions of employment. Energy Solutions is an equal opportunity employer.

Reasonable Accommodations

Energy Solutions is committed to providing access and reasonable accommodation for individuals with disabilities. If you require an accommodation in completing this application, interviewing, and/or completing any pre-employment testing, or otherwise participating in the employee selection process, please email [e-mail].

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