Data Science Renewable Energy Internship information
See salary details
$12.02 - $14.75
7% of jobs
$17.44 is the 25th percentile. Wages below this are outliers.
$14.75 - $17.48
18% of jobs
$17.48 - $20.21
22% of jobs
The median wage is $20.64 / hr.
$20.21 - $22.95
17% of jobs
$24.59 is the 75th percentile. Wages above this are outliers.
$22.95 - $25.68
18% of jobs
$25.68 - $28.41
8% of jobs
$28.41 - $31.14
5% of jobs
$31.14 - $33.87
1% of jobs
$33.87 - $36.60
0% of jobs
$36.60 - $39.34
2% of jobs
$39.34 - $42.07
1% of jobs
How much do data science renewable energy internship jobs pay per hour?
As of Aug 23, 2026, the average hourly pay for data science renewable energy internship 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.
A Data Science Renewable Energy Intern typically works on analyzing large datasets related to renewable energy sources, such as solar or wind power. Their tasks may include building predictive models, visualizing energy consumption trends, and supporting decision-making for energy optimization. Interns often collaborate with engineers and data scientists to uncover insights that can improve the efficiency and sustainability of renewable energy systems. This role provides hands-on experience in both data science techniques and the renewable energy industry.
As a Data Science Renewable Energy Intern, you’ll typically work on projects such as analyzing sensor data from wind turbines or solar panels, developing predictive maintenance models, or optimizing energy production forecasts. You may also assist with data cleaning, visualization, and reporting to support ongoing research or operational teams. Interns often collaborate with engineers, data scientists, and sustainability experts, gaining practical experience while contributing to real-world solutions in the renewable energy sector.
To thrive as a Data Science Renewable Energy Intern, you need a solid foundation in statistics, programming (typically Python or R), and a background in engineering, mathematics, or environmental science. Familiarity with data analysis tools (such as Pandas, NumPy, and scikit-learn), data visualization platforms, and renewable energy systems is often required. Strong analytical thinking, problem-solving, and effective communication make candidates stand out in this role. These skills are crucial for extracting actionable insights from energy data and supporting sustainable innovation in the renewable energy sector.
More about Data Science Renewable Energy Internship jobs What cities are hiring for Data Science Renewable Energy Internship jobs?
Cities with the most Data Science Renewable Energy Internship job openings:
What are the most commonly searched types of Data Science Renewable Energy jobs?
The most popular types of Data Science Renewable Energy jobs are:
What states have the most Data Science Renewable Energy Internship jobs?
States with the most job openings for Data Science Renewable Energy Internship jobs include:
What job categories do people searching Data Science Renewable Energy Internship jobs look for?
The top searched job categories for Data Science Renewable Energy Internship jobs are:
