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Internship Data Science Astronomy Jobs (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Astronomy or related scientific discipline Must have * Understanding of various machine learning ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Astronomy or related scientific discipline Must have * Understanding of various machine learning ...

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 astronomy jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for internship data science astronomy 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 the difference between Internship Data Science Astronomy vs Internship Data Analysis?

AspectInternship Data Science AstronomyInternship Data Analysis
Required CredentialsBasic programming, statistics, astronomy knowledgeStatistics, Excel, basic programming
Work EnvironmentResearch labs, observatories, academic institutionsBusiness, finance, healthcare, or tech companies
Industry UsageResearch projects, space agencies, academiaBusiness insights, reporting, decision-making

Internship Data Science Astronomy focuses on applying data science skills to astronomical data, often within research or academic settings. In contrast, Internship Data Analysis is broader, covering various industries where data interpretation supports business decisions. While both roles require analytical skills, the astronomy internship emphasizes scientific research and space data, whereas data analysis internships are more industry-specific and business-oriented.

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What cities are hiring for Internship Data Science Astronomy jobs? Cities with the most Internship Data Science Astronomy job openings:
What are the most commonly searched types of Data Science Astronomy jobs? The most popular types of Data Science Astronomy jobs are:
What states have the most Internship Data Science Astronomy jobs? States with the most job openings for Internship Data Science Astronomy jobs include:
What job categories do people searching Internship Data Science Astronomy jobs look for? The top searched job categories for Internship Data Science Astronomy jobs are:
Internship Data Science Astronomy jobs near you
Infographic showing various Internship Data Science Astronomy job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 85% As Needed, 5% Full Time, 7% Part Time, and 1% Summer. Highlights an 59% Physical, 1% Hybrid, and 40% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Science Internship (Data Platforms)

MHI

Lake Mary, FL • On-site

Internship

Posted 21 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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