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Data Science Renewable Energy Summer Jobs (NOW HIRING)

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

And as Michigan's largest source of renewable energy, we're creating a cleaner, healthier ... Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ...

NextEra Energy

Sr Applied Scientist I

Saint Paul, MN · On-site

$92K - $126K/yr

Working at the intersection of renewable energy physics and data science, you'll develop sophisticated analytical models that design, forecast, optimize, and enhance our wind, solar, storage, and ...

Verse

Data Scientist

San Francisco, CA

$120K - $155K/yr

The Role Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position ... Build and improve models for renewable generation, storage dispatch, and energy price prediction ...

Verse

Data Scientist

San Francisco, CA

$120K - $155K/yr

The Role Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position ... Build and improve models for renewable generation, storage dispatch, and energy price prediction ...

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All JobsData Science Renewable Energy Summer Jobs

Data Science Renewable Energy Summer information

What is a Data Science Renewable Energy Summer position?

A Data Science Renewable Energy Summer position is typically a summer internship or temporary role where students or early-career professionals apply data science techniques to projects in the renewable energy sector. This job often involves analyzing large datasets from sources like solar, wind, or grid operations to improve efficiency, forecasting, or decision-making. Interns or employees in this role may work with tools such as Python, R, and machine learning libraries, and collaborate with engineers or energy analysts. It's a great opportunity to gain hands-on experience at the intersection of data science and sustainable energy.

What is the difference between Data Science Renewable Energy Summer vs Data Analyst Renewable Energy Summer?

AspectData Science Renewable Energy SummerData Analyst Renewable Energy Summer
Required CredentialsTypically requires a degree in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RUsually requires a degree in Statistics, Mathematics, or related fields; proficiency in data analysis tools like Excel, SQL, or Tableau
Work EnvironmentCollaborative teams in tech-driven renewable energy companies or research institutionsOperational teams within renewable energy firms, focusing on data reporting and visualization
Employer & Industry UsageUsed in research, predictive modeling, and optimizing renewable energy systemsUsed for reporting, data management, and supporting decision-making processes

In summary, Data Science Renewable Energy Summer roles focus on advanced data modeling and programming, while Data Analyst Renewable Energy Summer positions emphasize data reporting and visualization. Both roles are vital in the renewable energy industry but differ in technical complexity and focus areas.

What types of projects can I expect to work on during a Data Science Renewable Energy Summer internship?

As a Data Science intern in the renewable energy sector, you'll likely work on projects involving analysis of large datasets from energy production, grid operations, or weather patterns. Common tasks include building predictive models to optimize energy output, identifying trends in energy consumption, and visualizing data to support decision-making. You may also collaborate with engineers and sustainability experts to develop actionable insights that improve efficiency or reduce environmental impact. These projects not only enhance your technical skills but also provide real-world experience in a rapidly growing industry.

What are the key skills and qualifications needed to thrive as a Data Science Renewable Energy Summer Intern, and why are they important?

To thrive as a Data Science Renewable Energy Summer Intern, you need a solid grounding in statistics, programming (often Python or R), and data analysis, typically supported by coursework in data science, engineering, or related fields. Familiarity with data visualization tools (like Tableau or Power BI), machine learning libraries, and renewable energy datasets is highly beneficial. Strong problem-solving skills, curiosity, and the ability to communicate complex findings clearly make candidates stand out. These competencies are crucial for deriving actionable insights from data and supporting innovative solutions in the rapidly evolving renewable energy sector.
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Data Science Renewable Energy Summer jobs near you
Infographic showing various Data Science Renewable Energy Summer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Associate or Manager, Data Science

DESRI Renewables LLC

Greenwood Village, CO • On-site

$150K - $175K/yr

Full-time

Medical, Retirement, PTO

Posted 21 days ago

Job description

About DESRI
DESRI (formerly D. E. Shaw Renewable Investments) is a market-leading owner and operator of renewable energy projects throughout the United States. We have acquired or developed approximately 13 gigawatts of contracted capacity across a portfolio of over 85 renewable energy projects in 24 states.
At DESRI, our culture is grounded in rigorous analytics and thoughtful risk-taking, with a strong emphasis on creativity, intellectual curiosity, and continuous improvement. We operate with lean teams that prioritize efficiency and minimize unnecessary bureaucracy, enabling individuals to take ownership and move quickly. We value open, constructive dialogue and believe it leads to better outcomes. Above all, we are driven to go the extra mile and support one another, fostering a collaborative environment built on accountability, integrity, and care.
About the role
DESRI is seeking a talented and highly motivated individual to join its team as an Associate or Manager, Data Science (title commensurate with experience). This individual will play a key role in the company's enterprise data science strategy and help drive data-informed decision-making across the organization.
This individual will partner closely with teams across the organization to build scalable analytics capabilities and deploy advanced modeling solutions that optimize DESRI's growing renewable energy portfolio. This leader will oversee data science initiatives spanning forecasting, operational analytics, predictive maintenance, portfolio optimization, market intelligence, and business performance reporting.
The ideal candidate combines strong technical expertise with strategic leadership skills and is excited about applying advanced analytics and machine learning to complex challenges in the renewable energy industry.
What you'll do
  • Lead DESRI's enterprise data science strategy and roadmap across operational and corporate functions
  • Partner cross-functionally to identify and prioritize high-impact analytics initiatives
  • Develop predictive and prescriptive models to improve asset performance, operational efficiency, forecasting accuracy, and portfolio optimization
  • Translate complex technical findings into actionable business insights for senior leadership and non-technical stakeholders
  • Evaluate emerging AI, machine learning, and advanced analytics technologies relevant to the renewable energy industry
  • Support the continued evolution of DESRI's data infrastructure, reporting environment, and business intelligence capabilities
  • Foster a culture of innovation, continuous improvement, and data-driven decision-making across the organization

Qualifications
  • Undergraduate or graduate degree in data science, statistics, computer science, engineering, mathematics, economics, or a related quantitative field required.
  • 3+ years of experience in data science, advanced analytics, machine learning, or quantitative modeling, including leadership experience managing teams and enterprise initiatives.
  • Strong expertise in statistical modeling, machine learning, predictive analytics, optimization techniques, and data visualization.
  • Advanced proficiency with Python, SQL, and modern analytics and machine learning frameworks.
  • Experience working with cloud-based data platforms and enterprise analytics environments.
  • Strong understanding of data engineering principles, ETL workflows, and large-scale data environments.
  • Demonstrated ability to lead cross-functional initiatives and influence senior stakeholders.
  • Experience in renewable energy, utilities, energy markets, infrastructure, or industrial operations is strongly preferred.
  • Familiarity with forecasting models, SCADA data, IoT systems, energy market analytics, or grid operations is preferred.
  • Excellent written and verbal communication skills, strong analytical acumen, and exceptional problem-solving capabilities.
  • Intellectually curious individuals with an entrepreneurial mindset, strong attention to detail, and a collaborative approach will excel in this role.
  • At DESRI, we consider a wide range of factors to determine your compensation. We rely on market indicators and consider your specific job family, background, location, skills, and experience. The expected annual base salary for this position is $150,000 to $175,000 (depending on title and experience).
  • Our compensation and benefits package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, and benefits including medical and prescription drug coverage, 401(k) contribution matching, paid time off, wellness reimbursement, family building benefits, and a charitable gift match program.

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