Oferta de trabajo: Intern, Research & Data Insights

Job Description:

Please note: Due to the substantial number of applications received, we may close this position as soon as we have received a sufficient number of qualified applications. We encourage you to apply as early as possible, as no applications will be accepted once the posting is closed. It may take up to threeweeks from the time we start reviewing to receive a response.

Transform your career with RMI.

We believe that diverse voices and experiences are essential in addressing today's energy challenges. RMI welcomes and encourages candidates from diverse backgrounds and identities to apply, as we work toward creating a more inclusive, equitable future in the energy transition.

Learn more about RMI and our work: https://rmi.org/

Internship Program Overview

We welcome a group of interns every summer into our three-month internship program, and you could be a part of it! This rewarding experience will fully integrate you into an existing or new project where your ideas, opinions, and assistance are valued.

To learn more, please visit https://rmi.org/about/careers/internships/.

Summer 2025 Start and End Date Options:May 20 - August 15, June 3 - August 29, and June 17 - September 12. No changes can be made to these dates.

Research & Data Insights Overview

RMI is committed to data-driven decision-making and deep sector research to inform sustainable energy strategies. The Research & Data Insights focus area combines technical data analysis with in-depth industry research to uncover trends, assess emerging technologies, and evaluate the impact of climate and energy policies. Interns in this focus area will leverage quantitative and qualitative research methods to analyze market trends, model energy systems, and support RMI's thought leadership in the clean energy space. Through this work, they will contribute to shaping innovative solutions that drive the global transition to a carbon-free future.

Application Requirements

While candidates will be considered for all teams, we will prioritize the preferences indicated in your application and cover letter. During the application process, you will have the opportunity to select your top two team preferences, which will help us align your interests with RMI's work. We will not review any submissions via email nor after the position has closed.

Resume (Required)

We suggest a 1-2-page resume that includes information about your academic background and work experience. Feel free to add additional sections that highlight any leadership roles you've held, relevant coursework, academic projects that you've completed, conference presentations, or any articles that have been published.

Cover Letter (Required)

Please submita cover letter with the following questions answered in the attachment section where the resume is uploaded.

How do you believe data and research can drive impactful solutions in the clean energy transition?

What personal experiences or values have inspired your interest in clean energy and sustainability?

RMI has multiple teams focused on data analysis and research. Which team(s) are you most interested in, and why? Pleaseidentify up to two programs and any projects/articles that are of interest.

General Qualifications

Currently enrolled in college preferably as a junior, senior, or master level graduate student. We also consider recent graduates as well. At this time, doctoral applicants are better suited for our Associate positions.

Field of Study: Data Science, Statistics, Economics, Environmental Science, Engineering, Finance, Business Analytics, Computer Science, Mathematics, Architecture, or related fields.

Exposure to energy systems, climate science, sustainability research, or market analysis

Hands-on experience with data collection, statistical modeling, or forecasting

Experience with case studies, industry research, or economic modeling related o clean energy

Ability to synthesize complex information into clear reports or presentations

Ability to clean, visualize, and interpret datasets for insights

Curiosity and problem-solving ability to explore new research questions

Analytical mindset with attention to detail

Self-motivation and initiative to drive independent research projects