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Internship Data Science Instructor Jobs (NOW HIRING)

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$4.0K/wk

We seek instructors from industry, government and academia who are excited about broadening ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

We seek instructors from industry, government and academia who are excited about broadening ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

Athena LLC

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

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Internship Data Science Instructor information

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

As of Jul 31, 2026, the average hourly pay for internship data science instructor 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 Instructor vs Data Science Tutor?

AspectInternship Data Science InstructorData Science Tutor
CredentialsTypically requires a degree in data science, computer science, or related field; teaching experience is a plusOften requires a strong background in data science; certifications like Data Science Professional Certificate can be beneficial
Work EnvironmentUsually in educational institutions, training programs, or online courses, often with group settingsOne-on-one or small group online or in-person sessions, flexible scheduling
Employer & Industry UsageEducational organizations, training companies, online learning platformsPrivate tutors, online tutoring platforms, freelance opportunities

In summary, an Internship Data Science Instructor typically works in structured educational settings, focusing on teaching data science concepts to groups of students during internships. A Data Science Tutor offers personalized, flexible instruction, often on a one-on-one basis, to help individuals improve their data science skills. Both roles require strong data science knowledge but differ mainly in work environment and teaching scope.

What cities are hiring for Internship Data Science Instructor jobs? Cities with the most Internship Data Science Instructor job openings:
What are the most commonly searched types of Data Science Instructor jobs? The most popular types of Data Science Instructor jobs are:
What states have the most Internship Data Science Instructor jobs? States with the most job openings for Internship Data Science Instructor jobs include:
Internship Data Science Instructor jobs near you
Infographic showing various Internship Data Science Instructor 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)

MHI

Lake Mary, FL • On-site

Internship

Posted 22 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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