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Internship Data Science Sustainability Jobs (NOW HIRING)

Athena LLC

Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

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How much do internship data science sustainability jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for internship data science sustainability 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 is an Internship Data Science Sustainability?

An Internship in Data Science Sustainability is a temporary position where students or recent graduates work on projects that apply data science techniques to sustainability challenges. Interns may analyze environmental data, develop predictive models, or help organizations make data-driven decisions to improve their environmental impact. These internships provide hands-on experience with tools like Python, R, and machine learning in the context of real-world sustainability issues. The role often involves working with multidisciplinary teams and contributing to projects focused on energy efficiency, waste reduction, or climate change. It's an excellent opportunity to gain practical skills while supporting efforts toward a more sustainable future.

How do Data Science Sustainability interns typically contribute to real-world projects during their internship?

As a Data Science Sustainability intern, you'll often work closely with cross-functional teams to analyze large datasets related to environmental impact, energy usage, or supply chain efficiency. Interns are frequently tasked with developing data models, visualizations, or dashboards that help guide the organization’s sustainability initiatives. You may also support ongoing research by cleaning and preparing data, running exploratory analyses, or evaluating the effectiveness of current sustainability programs. This hands-on experience allows you to directly contribute to projects that have tangible environmental and business impacts, while learning from experienced data scientists and sustainability professionals.

What are the key skills and qualifications needed to thrive as an Internship Data Science Sustainability, and why are they important?

To excel as an Internship Data Science Sustainability, you need a solid understanding of statistics, data analysis, and environmental science, generally supported by coursework or related academic experience. Familiarity with data analysis tools like Python or R, and platforms such as SQL databases and data visualization software, is typically expected. Strong analytical thinking, effective communication, and a passion for sustainable development will set you apart. These skills and qualities are essential for translating data into actionable insights that support impactful sustainability initiatives.
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Internship Data Science Sustainability jobs near you
Infographic showing various Internship Data Science Sustainability job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Data Science Internship (Data Platforms)

Data Science Internship (Data Platforms)

MHI

Lake Mary, FL • On-site

Internship

Posted 18 days ago

Job description

Data Science Associate
Company Overview
At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining power generation to accelerate the world's energy transition. We operate as one team, pushing toward our vision of the future. We value problem solvers, prioritize collaboration, and support each other in an inclusive culture built on accountability and authenticity by demonstrating our values: Safety, Family, Innovative, Inclusive, Accountable & Courageous. Together, we're building the future we all aspire to - making net zero a reality.
Role Overview
The Data Scientist Intern supports Mitsubishi Power's IT Data Platforms team by contributing to data quality, data cataloging, and automation efforts within enterprise data environments. This hands-on internship provides practical experience working with cloud-based data platforms, centralized data repositories, and Microsoft Power Platform tools. The role collaborates with Data Platforms leadership, Enterprise Applications, and IT stakeholders to support scalable, high-quality data solutions used across the business.
Key Responsibilities
  • Assist with data quality assessments across enterprise data sources, identifying gaps, inconsistencies, and improvement opportunities.
  • Support data catalog activities including documentation of datasets, metadata, data definitions, and lineage.
  • Validate, organize, and prepare ingested data within centralized platforms such as data lakes and structured repositories.
  • Contribute to automation efforts to surface data into Microsoft Power Apps and Power Automate workflows.
  • Perform data validation and reconciliation to ensure accuracy and completeness between source and ingested data.
  • Assist with development of basic dashboards, reports, and visualizations to support data visibility and usage.
  • Support testing and user acceptance activities to validate data processes and automation solutions.
  • Maintain tracking artifacts such as data quality logs, catalog trackers, and automation inventories.
  • Document data processes, standards, and learnings to support long-term platform sustainability.

Requirements
  • Assist with data quality assessments across enterprise data sources, identifying gaps, inconsistencies, and improvement opportunities.
  • Support data catalog activities including documentation of datasets, metadata, data definitions, and lineage.
  • Validate, organize, and prepare ingested data within centralized platforms such as data lakes and structured repositories.
  • Contribute to automation efforts to surface data into Microsoft Power Apps and Power Automate workflows.
  • Perform data validation and reconciliation to ensure accuracy and completeness between source and ingested data.
  • Assist with development of basic dashboards, reports, and visualizations to support data visibility and usage.
  • Support testing and user acceptance activities to validate data processes and automation solutions.
  • Maintain tracking artifacts such as data quality logs, catalog trackers, and automation inventories.
  • Document data processes, standards, and learnings to support long-term platform sustainability.

Learning Outcomes
  • Gain hands-on experience with enterprise data platforms, including data lakes and cloud-based environments, understanding how data supports business operations.
  • Develop core data skills in data quality, validation, cataloging, and metadata management using real-world datasets.
  • Apply analytics and automation tools such as Excel, SQL, and Microsoft Power Platform to support business processes and workflows.
  • Strengthen problem-solving and communication skills by working cross-functionally and translating data insights into clear, actionable outcomes.

Mitsubishi Power is an Equal Employment Opportunity (EEO) employer actively seeking to diversify the workforce and is committed to a policy of equal employment opportunity. Therefore, all qualified applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally recognized protected basis under applicable law, are strongly encouraged to apply.

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