Intern - Data Science (Summer 2026)

Gas Technology Institute-posted 3 months ago
$17 - $28/Yr
Intern
Des Plaines, IL
Professional, Scientific, and Technical Services
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GTI Energy is seeking a Data Science Intern to join our Digital Innovation team to enhance our capabilities in statistics and data science by strengthening and supporting enterprise-wide strategic initiatives. In this role, the Intern will support in the execution of on-going projects and initiatives, including scientific research around development of low-emissions energy systems through data-driven modeling and statistical analysis.

  • 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 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 Digital Innovation team building and networking events
  • Perform other duties as assigned
  • Currently enrolled in or completed within the last year a Bachelor or Master's degree program in computer science, data science, statistics, mathematics or related field
  • Experience demonstrating ability to communicate technical statistical/analytical concepts
  • Experience using data visualization techniques and programming libraries (e.g., scatterplots, boxplots, ggplot2, pandas, matplotlib)
  • Ability to wrangle and process data using programming libraries (e.g., tidyverse, pandas)
  • Strong programming skills, preferably in R, Python, or similar software
  • GIS experience
  • Policy and Regulation knowledge related to energy
  • Familiarity with/interest in environmental justice
  • 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
  • General knowledge of the energy industry, particularly related to the natural gas supply chain (including emissions management), hydrogen, energy efficiency, or engineering methods
  • Generous benefits
  • Competitive salaries
  • Opportunities for professional growth and career advancement
  • Inclusive, diverse, and respectful culture
  • Seasonal housing assistance for the right candidate
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