Intern - Data Science (Summer 2027)
About The Position
GTI Energy is seeking a Summer 2027 Data Science Intern to join its Modeling and Energy Systems Analytics (MESA) Team. The intern will support enterprise-wide initiatives and ongoing projects in scientific research and technology development, using data-driven modeling and analysis to generate insights and support low-carbon energy systems. The position may contribute to research and tools related to methane emissions mitigation, digitalization in energy, and net-zero energy systems. The role involves exploratory data analysis, statistical modeling, machine learning, data scraping and wrangling, visualization, dashboard creation, and development of energy systems models. The intern will communicate findings through presentations and written reports, work with technical and non-technical colleagues, and participate in team meetings and events. The position is based at GTI Energy Headquarters in the Chicagoland area. The hybrid/core work week requires on-site work Tuesday through Thursday, with remote work Monday and Friday, subject to manager discretion. Some field travel to the Fort Collins, Colorado office may be needed; travel is less than 5%. Work may take place in laboratory, pilot plant, or technical facility environments and may involve outdoor work and exposure to noise, temperature variations, and controlled chemical or mechanical hazards.
Requirements
- Currently enrolled in or completed within the last year a bachelor's or master's degree program in computer science, data science, statistics, mathematics, or a related field.
- Excellent problem-solving skills and ability to work independently.
- Strong written and oral communication skills, including the ability to translate technical information for non-technical audiences.
- Ability to work collaboratively with technical and non-technical team members.
- General knowledge of the energy industry, particularly 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 and attention to detail.
- Strong programming skills, preferably in R, Python, or similar software.
- Ability to wrangle and process data using programming libraries such as tidyverse or pandas.
- Familiarity with basic statistical analyses and concepts, including t-tests, linear regression, hypothesis testing, and confidence intervals, and machine-learning techniques such as classification, clustering, and predictive modeling.
- Legal authorization to work for GTI Energy on the date of hire, with no further action required by GTI Energy.
Nice To Haves
- Knowledge of energy policy and regulation.
- Familiarity with or interest in environmental justice.
- Familiarity with advanced statistical methods such as Bayesian analysis, time-series or spatial analyses, or survey statistics.
- GIS experience and programming.
- Experience demonstrating the ability to communicate technical statistical or analytical concepts.
- Experience using data visualization techniques and programming libraries, such as scatterplots, boxplots, ggplot2, pandas, or matplotlib.
Responsibilities
- Perform exploratory data analyses and apply statistical modeling and machine learning to answer research questions and develop tools for 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 affected by new technologies, climate, and weather.
- Apply and develop advanced analytical techniques, including AI, computer vision, and neural networks.
- Develop presentations and written reports to communicate findings.
- Develop approaches to investigating research questions, including 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 one-on-one and team meetings and contribute to team projects.
- Participate in MESA team-building and networking events.
- Perform other duties as assigned.
Benefits
- Competitive compensation.
- Health coverage.
- Retirement plans.
- Paid time off.
- Professional development opportunities.
- Strong benefits.
- Other rewards may include annual bonuses and region-specific benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
