Data Scientist Intern

Summit Utilities • Fort Smith, AR • 9h ago

This job was posted by https://www.arjoblink.arkansas.gov : For more information, please see: https://www.arjoblink.arkansas.gov/jobs/4840908 Summit Utilities\ \

Join our growing team and discover why Summit Utilities, Inc. continues to earn national and regional recognition as an employer of choice. Our recognitions include Best Places to Work in Maine (20192025); Best Places to Work in Arkansas (2020, 2023, 2025); Best Places to Work in Oklahoma (20222025); Best Places to Work in Missouri (2023 and 2026); Best Places to Work in Colorado (2025); Forbes Americas Best Small Employers (2023); and, most recently, Proud and Purposeful Employer (2026).

Summit is a growing natural gas utility providing safe, reliable, and clean burning natural gas service to homes and businesses in Arkansas, Colorado, Maine, Missouri, Oklahoma, and Texas. Being part of the Summit team means embracing excellence and innovation, committing to safety each and every day, and doing all that we can to serve each other, our customers, and the communities where we live. We aim to bring warmth and energy to everything we do.

We have an exciting opportunity open for a Data Scientist Intern based in Fort Smith, Fayetteville, or Little Rock, AR.

POSITION SUMMARY

Summit Utilities is seeking a Data Scientist Intern to support the development of data science solutions that enable safe, reliable, and efficient natural gas utility operations. Working under close guidance from experienced data scientists and AI professionals, the intern will assist with data exploration, feature engineering, model development, and the communication of analytical findings across a range of operational and business use cases, including field operations optimization, asset health and preventative maintenance, damage prevention, climate analysis and weather normalization, gas supply planning, usage forecasting, and customer segmentation.

PRIMARY DUTIES AND RESPONSIBILITIES

EDUCATION AND WORK EXPERIENCE

Currently enrolled in a bachelor\'s or master\'s degree program in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Engineering, or a related quantitative field; rising junior or senior undergraduate standing, or current graduate enrollment, preferred.Coursework, academic projects, or prior internship experience involving statistics, machine learning, or quantitative analytics.Exposure to the model development process data preparation, feature engineering, training, and evaluationFamiliarity with cloud data platforms such as Microsoft Fabric, Azure, Snowflake, or Databricks are a plus but not required.

KNOWLEDGE, SKILLS, ABILITIES

Working knowledge of Python for data analysis (pandas, NumPy, scikit-learn, matplotlib/seaborn) and foundational SQL skills.Understanding of core statistical and machine learning concepts, including regression, classification, model validation,\ \ \ \ Equal employment opportunity, including veterans and individuals with disabilities.\ \

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