Data Science Intern: Forecasting & Operations Analytics

Summit Utilities Inc.; Fayetteville, Northern (AR, KY); Hybrid; USD 25,000 - 36,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Competitive pay

Job summary

Summit Utilities, Inc. in Arkansas invites applications for a Data Scientist Intern based in Fort Smith, Fayetteville, or Little Rock.

You will support data exploration, feature engineering, model development, and the communication of analytical findings across multiple operational use cases. Under guidance from experienced data scientists, you will work on forecasting, asset health, weather normalization, and customer segmentation, learning Microsoft Fabric workloads and best practices while

Qualifications

• Currently enrolled in a bachelor’s or master’s program in a quantitative field.
• Coursework or internship involving statistics, ML, or quantitative analytics.
• Exposure to the model development process — data prep, feature engineering, training, evaluation.
• Familiarity with cloud data platforms is a plus but not required.

Responsibilities

• Assist in building, validating, and iterating ML and optimization models for valid business use cases.
• Support data exploration, profiling, and feature engineering across diverse data sources.
• Contribute to model pipelines and data-quality checks for reliable inputs/outputs.
• Develop visualizations and summaries and document analytical logic for the team.
• Complete projects and present results to AI and Enterprise Data teams and leadership.

Skills

Python

SQL

Statistics

Machine learning

Time-series

Education

Bachelor’s or Master’s in Data Science/Statistics/Math/OR/CS/Engineering

Tools

Microsoft Fabric

Azure

Snowflake

Databricks

Git

Job description

Summit Utilities, Inc. in Arkansas invites applications for a Data Scientist Intern based in Fort Smith, Fayetteville, or Little Rock.

You will support data exploration, feature engineering, model development, and the communication of analytical findings across multiple operational use cases. Under guidance from experienced data scientists, you will work on forecasting, asset health, weather normalization, and customer segmentation, learning Microsoft Fabric workloads and best practices while