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Energy Data Science Intern Jobs (NOW HIRING)

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

US Venture, Inc.

Data Science Intern

Appleton, WI · On-site

S. Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S. Venture's Internship Program runs May - August 2027. Dates may vary based on individual class schedules. This ...

River Partners

Data Science Intern

San Diego, CA · On-site

$18 - $20/hr

Data Science Intern Location: Chico, California Status : Temporary- Full-time, Non-Exempt Start date : September 2026 Duration : September to December - with the possibility to extend to Spring ...

The Chemours Company

AI & Data Science Intern

In key sectors such as clean energy, advanced electronics, high-performance computing and AI ... The Generative AI & Data Science Intern will work closely with our team to create and deploy ...

Xcel Energy

Data Science Intern CO, MN

Minneapolis, MN

$22.10 - $27.90/hr

At Xcel Energy, our employees are the driving force behind our success. So we make sure that, here ... A Data Science Intern will play a crucial role in handling and analyzing large datasets to uncover ...

New

Allied Solutions LLC

Data Science Intern

Carmel, IN · On-site

The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying data, analytics, and AI to real business challenges. This role is designed for students interested ...

The Chemours Company

AI & Data Science Intern

In key sectors such as clean energy, advanced electronics, high-performance computing and AI ... The Generative AI & Data Science Intern will work closely with our team to create and deploy ...

Allied Solutions LLC

Data Science Intern

Carmel, IN · On-site

The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying data, analytics, and AI to real business challenges. This role is designed for students interested ...

Xcel Energy

Data Science Intern CO, MN

Denver, CO · On-site

$22.10 - $27.90/hr

At Xcel Energy, our employees are the driving force behind our success. So we make sure that, here ... A Data Science Intern will play a crucial role in handling and analyzing large datasets to uncover ...

New

Athenago

Data Science Intern

Wilmington, DE

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

Athena LLC

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

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Energy Data Science Intern information

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$12

$22

$42

How much do energy data science intern jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for energy data science intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What does an energy data science intern do?

An Energy Data Science Intern assists in analyzing and interpreting complex data sets related to energy production, consumption, and efficiency. They use statistical tools and programming languages to extract insights, create predictive models, and support decision-making within energy companies or organizations. Typical tasks may include cleaning and organizing data, developing visualizations, and working alongside engineers and analysts to solve real-world energy challenges. This role provides hands-on experience in applying data science techniques to the evolving energy sector.

What skills and qualifications are needed to thrive as an energy data science intern?

To thrive as an Energy Data Science Intern, you need a solid background in statistics, data analysis, and programming (typically Python or R), often gained through a relevant degree such as engineering, mathematics, or data science. Familiarity with data visualization tools (like Tableau or Power BI), machine learning libraries, and energy sector datasets is highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings clearly are important soft skills. These competencies enable interns to extract actionable insights from large datasets, directly supporting innovation and efficiency in the energy sector.

What types of projects does an energy data science intern work on, and how do they contribute to the organization's goals?

As an Energy Data Science Intern, you’ll typically work on projects involving the analysis of large datasets related to energy consumption, grid performance, or renewable integration. These projects may include building predictive models, visualizing trends, or optimizing energy systems to improve efficiency. Your work directly supports decision-making for sustainability initiatives and operational improvements, often collaborating with engineers, analysts, and other data scientists. This hands-on experience is valuable for understanding the intersection of data science and energy, and it can prepare you for more advanced roles in the industry.

What is the difference between Energy Data Science Intern vs Energy Data Analyst?

AspectEnergy Data Science InternEnergy Data Analyst
Required CredentialsTypically pursuing or recent graduate in data science, statistics, or related fieldBachelor's or master's in data analysis, statistics, or related field
Work EnvironmentInternship setting, often in energy companies or consulting firmsFull-time role in energy companies, utilities, or consulting firms
Employer & Industry UsageUsed for entry-level training, internship programs in energy sectorUsed for ongoing data analysis, reporting, and decision support in energy industry

The main difference is that an Energy Data Science Intern is an entry-level internship focused on learning and supporting data science projects, while an Energy Data Analyst is a full-time professional responsible for analyzing energy data to inform business decisions. Interns typically have less experience and work under supervision, whereas analysts are more experienced and handle independent analysis tasks.

What cities are hiring for Energy Data Science Intern jobs?

Cities with the most Energy Data Science Intern job openings:

What are popular job titles related to Energy Data Science Intern jobs?

For Energy Data Science Intern jobs, the most frequently searched job titles are:

Infographic showing various Energy Data Science Intern job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Intern, Energy Data Science

La Crosse, WI • On-site

Dairyland Power Cooperative
Utilities • 201 - 500 employees
Learn more about Dairyland Power Cooperativeexternal

$30/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Hourley Wage: $30.00

PURPOSE: The Energy Data Science Intern will support strategic decision making by increasing data accessibility, performing statistical analysis, building predictive models, and providing actionable insights. This position advances all DPC's strategic priorities, but most notably our commitment to financial strength, growth & innovation, and our safety culture.

ESSENTIAL JOB FUNCTIONS:

Build, test and document data pipelines that ingest, transform and deliver data for analysis and reporting. Assist with integrating APIs, databases, enterprise applications and external data sources into Dairyland Power Cooperative's cloud-based Lakehouse environment. Clean, validate and organize energy and business data to improve reliability and accessibility. Perform statistical analysis to identify trends, quantify uncertainty and support business decisions. Develop and evaluate machine learning models for defined business applications. Support model deployment, validation, performance monitoring and ongoing improvement. Translate business questions into quantitative analyses. Present findings, assumptions and recommendations clearly to technical and nontechnical audiences. Create technical documentation for data sources, pipelines, models and analytical methods. Perform other duties as assigned.

MINIMUM QUALIFICATIONS:

Education & Experience: Currently pursuing either an undergraduate or graduate degree in data science, statistics, mathematics, artificial intelligence, computer science, or another related field.

Skills:

  • Experience using at least one scientific computing language, preferably Python

  • Foundational knowledge of data structures, statistical analysis and relational databases

  • Strong analytical, problem-solving and organizational skills

  • Strong verbal, written and interpersonal communication skills

  • Ability to work independently.

PREFERRED QUALIFICATIONS:

  • Experience with SQL and data modeling

  • Experience building data pipelines or integrating APIs

  • Familiarity with Microsoft Fabric, AWS or another cloud data platform

  • Familiarity with machine learning model development, validation, and deployment

  • Experience with Power BI or another data visualization tool

  • Experience using Git or another version control system

Licenses and Certifications:Valid Driver's License

Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.

Environmental Demands: Normal work schedule is indoors.

Other Job Characteristics: Travel required, occasionally overnight. Works with limited supervision in a variably paced, variable pressure setting. Handles multiple priorities.

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