Data Scientist Intern - Energy Analytics & Forecasting

Summit Utilities, Inc.; Little Rock (AR); On-site; USD 28,000 - 39,000; Part time

Benefits offered by this job

Medical, dental, vision benefits

Competitive pay

Job summary

Summit Utilities, Inc. is seeking a Data Scientist Intern to support the development of data science solutions for safe, reliable natural gas operations.

You will work under guidance from experienced data scientists to explore data, engineer features, develop models, and communicate findings across operational use cases. The role offers hands-on experience with data from field operations, weather normalization, asset health, and customer analytics, with opportunities to present results to

Qualifications

• Pursuing a bachelor’s or master’s degree in a quantitative field such as Data Science, Statistics, Mathematics, OR Computer Science.
• Coursework or projects in statistics, ML, or quantitative analytics.
• Exposure to model development: data prep, feature engineering, training, evaluation.
• Familiarity with cloud data platforms (Microsoft Fabric/Azure/Snowflake/Databricks) is a plus but not required.

Responsibilities

• Assist in building, validating, and iterating statistical and ML models for forecasting, optimization, and segmentation.
• Support data exploration, profiling, and feature engineering across work orders, weather, SCADA, and billing data.
• Contribute to model pipelines and data quality checks for inputs/outputs.
• Develop visualizations and quantitative summaries, documenting data sources and assumptions for the team.
• Complete assigned projects and present results to AI and Enterprise Data teams and leadership.

Skills

Python

SQL

Statistics

Machine Learning concepts

Time-series analysis

Git/Azure DevOps

Communication

Education

Bachelors or Masters in Data Science/Statistics/Math/CS

Tools

Microsoft Fabric

Azure

Snowflake

Databricks

Job description

Summit Utilities, Inc. is seeking a Data Scientist Intern to support the development of data science solutions for safe, reliable natural gas operations.

You will work under guidance from experienced data scientists to explore data, engineer features, develop models, and communicate findings across operational use cases. The role offers hands-on experience with data from field operations, weather normalization, asset health, and customer analytics, with opportunities to present results to