Intern - Data Science (Summer 2027)

General Summary

GTI Energy, a leading energy research, development, and training organization, is seeking an intern to join its Modeling and Energy Systems Analytics (MESA) Team for Summer 2027. The intern will enhance our capabilities in data science, modeling, analytics, statistics, or other quantitative methods by supporting enterprise-wide initiatives. In this role, the Intern will support ongoing projects, including scientific research and the development of new technologies, novel insights, and low-carbon energy systems using data-driven modeling and analysis.

Why GTI Energy?

GTI Energy is where complex energy challenges meet bold solutions. With deep expertise in energy research, technology development, and business innovation, we help partners across industries build and demonstrate solutions for better-performing energy systems. Collaboration, innovation, and systems thinking guide our progress.

Joining GTI Energy means joining a purpose-driven team motivated by learning, growing, and making an impact. We offer competitive compensation, strong benefits, and opportunities for professional development in a culture that values respect and belonging. Recognized as a Chicago Tribune Top Workplace for seven consecutive years, our people-focused culture reflects our commitment to creating an environment where people feel supported, valued, and able to thrive.

Benefits Overview

GTI Energy offers a competitive total rewards package including health coverage, retirement plans, paid time off, and professional development opportunities. A high-level overview is available at: 2026 Benefits at a Glance GTI Energy.

Work Location

The position will be based in the Chicagoland area at the GTI Energy Headquarters. We offer a hybrid/core work week, where employees are remote Mondays and Fridays, and required to be on-site Tuesday through Thursday, subject to manager discretion. This position may require some field travel to GTI Energy’s offsite Fort Collins, CO office location as needed.

Travel

• Less than 5%

Primary Responsibilities

In this role, you may:

• Perform exploratory data analyses and apply statistical modeling and machine learning approaches to answer research questions and develop tools to support data-driven decision making
• Scrape and wrangle data from open-source repositories
• Create data visualizations and dashboards to communicate insights and findings to stakeholders
• Develop energy systems models to characterize interactions among energy supply and demand, as impacted by new technologies, climate, and weather
• Apply and develop advanced analytical techniques such as AI, computer vision, and neural networks
• Develop presentations and written reports to communicate findings
• Develop unique approaches to investigating key research questions, including leading programs related to methane emissions mitigation, digitalization in energy, and net zero energy systems
• Support ongoing research efforts using a disciplined approach and standard best practices
• Participate in 1-on-1 and team meetings and contribute to team projects
• Participate in GTI Energy Modeling and Energy System Analytics team building and networking events
• Perform other duties as assigned

Required Knowledge, Skills, and Abilities

• Excellent problem-solving skills and ability to work independently
• Strong written and oral communication, including an ability to translate technical information into a format that is understandable and valuable to non-technical audiences
• Ability to work collaboratively on teams with both technical and non-technical members
• General knowledge of the energy industry, particularly related to the natural gas supply chain (including emissions management), hydrogen, energy efficiency, or engineering methods
• Willingness to learn new analytical techniques and data science methods
• Strong organizational and time management skills with excellent attention to detail
• Strong programming skills, preferably in R, Python, or similar software
• Ability to wrangle and process data using programming libraries (e.g., tidyverse, pandas)
• Policy and Regulation knowledge related to energy is a plus
• Familiarity with/interest in environmental justice is a plus
• Familiarity with and ability to implement basic statistical analyses and concepts, such as t-tests, linear regression, hypothesis testing, and confidence intervals, and machine learning techniques, such as classification, clustering, and predictive modeling
• Familiarity with advanced statistical methods such as Bayesian analysis, time-series or spatial analyses, or survey statistics a plus
• GIS experience and programming is a plus

Education and Experience

• Currently enrolled in or completed within the last year a Bachelor or Master’s degree program in computer science, data science, statistics, mathematics or a related field
• Experience demonstrating ability to communicate technical statistical/analytical concepts a plus
• Experience using data visualization techniques and programming libraries (e.g., scatterplots, boxplots, ggplot2, pandas, matplotlib)

Engineering and Science:Physical & Work Environment Requirements

Work is performed in laboratory, pilot plant, or technical facility environments and may involve:

• Remaining in a stationary position, often standing or sitting for prolonged periods
• Repeating motions that may include the wrists, hands and/or fingers
• Stand for extended periods and move between workspaces while adhering to established safety procedures
• Work in laboratory environments with exposure to noise, temperature variations, and controlled chemical or mechanical hazards
• Lift up to 30 pounds
• Perform repetitive lifting of moderate weight
• Climb stairs and ladders and stand for up to 4 hours per day
• Work outdoors in varying environmental conditions
• Remaining in a stationary position, often standing or sitting for prolonged periods.
• Repeating motions that may include the wrists, hands and/or fingers.

Pay Transparency

The salary range for this position is $17/hour - $28/hour USD annually. This salary range is GTI Energy’s good faith estimate, and the actual salary may vary based on a number of factors including, but not limited to, GTI Energy’s business or organizational needs and an individual’s relevant experience, education, qualifications, certifications, skills, seniority, geographic location, and/or performance. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus. The range listed is just one component of GTI Energy’s total compensation package for employees. Other rewards may include annual bonuses, paid time off, and region-specific benefits.

EEO Statement

GTI Energy is committed to developing a barrier-free recruitment process and work environment. If you require any accommodation, please e-mail us at [email protected] and we’ll work with you to meet your accessibility needs. You must have legal authorization to work for GTI Energy on your date of hire with no further action required by GTI Energy. We are an Equal Employment Opportunity employer and give consideration to qualified applicants without regard to race, color, age, religion, sexual orientation, gender identity, national origin, disability, veteran status, pregnancy, or genetic information.