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Internship Data Science Ngo 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 ngo jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for internship data science ngo 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 Internship Data Science position at an NGO involve?

An Internship Data Science position at an NGO typically involves supporting data-driven projects that help advance the organization's mission. Interns may collect, clean, and analyze data, create visualizations, and assist in preparing reports that inform decision-making and measure program impact. This role often requires working with real-world social, environmental, or humanitarian datasets and collaborating with other team members. It's a valuable opportunity to gain practical experience in applying data science skills to address social issues.

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

To thrive as a Data Science intern at an NGO, a solid foundation in statistics, data analysis, and programming (usually Python or R) is essential, along with ongoing or completed coursework in a related field. Familiarity with data visualization tools (such as Tableau or Power BI), spreadsheet software, and basic knowledge of databases are typically expected. Strong communication, teamwork, and adaptability help interns effectively translate data insights for non-technical stakeholders and collaborate within mission-driven teams. These skills are crucial for generating actionable insights that support the NGO's objectives and maximize its social impact.

What types of projects can I expect to work on during a Data Science internship at an NGO?

As a Data Science intern at an NGO, you'll typically work on projects that involve analyzing and interpreting data to support the organization's mission, such as evaluating program effectiveness, donor engagement, or community impact. You might clean and visualize data, build predictive models, or develop dashboards for stakeholders. These projects often require collaboration with program managers, communications teams, and sometimes external partners to ensure insights are actionable and impactful. The work environment is usually collaborative and mission-driven, offering opportunities to learn from experienced professionals while contributing to meaningful causes.
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Internship Data Science Ngo jobs near you
Infographic showing various Internship Data Science Ngo 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 19 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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