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Aerospace Data Science Internship Jobs (NOW HIRING)

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

This internship is designed for a technical generalist, someone who has hands-on experience across multiple areas such as agentic AI, conversational avatars, mobile development, data science ...

Computer Science Internship

College Park, MD

$19 - $25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Analyze and interpret data to generate insights and support decision-making. * Work on cross ...

Computer Science Internship

College Park, MD ยท On-site

$19 - $25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Analyze and interpret data to generate insights and support decision-making. * Work on cross ...

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

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Analyze and interpret data to generate insights and support decision-making. * Work on cross ...

Machine Learning Intern

Fort Wayne, IN ยท On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

New

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

New

Machine Learning Intern

Sarasota, FL ยท On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

New

Machine Learning Intern

Atlanta, GA ยท On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

New

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

New

Machine Learning Intern

San Jose, CA ยท On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

New

Showing results 21-40

Aerospace Data Science Internship information

See salary details

$12

$22

$42

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

As of Aug 17, 2026, the average hourly pay for aerospace data science internship 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 types of projects and technologies might I work with during an aerospace data science internship?

As an Aerospace Data Science Intern, you can expect to work on projects involving large datasets from flight sensors, satellite imagery, or aircraft performance metrics. You'll likely use programming languages such as Python or R, and leverage machine learning libraries to analyze patterns, optimize operations, or predict maintenance needs. Collaboration is common with engineers, data analysts, and sometimes flight operations teams, offering valuable exposure to cross-functional teamwork. These projects provide an opportunity to develop practical modeling skills while gaining insight into real-world aerospace challenges.

What are the key skills and qualifications needed to thrive as an aerospace data science intern, and why are they important?

To thrive as an Aerospace Data Science Intern, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by coursework in engineering, mathematics, or computer science. Familiarity with tools like MATLAB, SQL, machine learning libraries, and data visualization platforms is commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings clearly are highly valued soft skills. These competencies are crucial for analyzing aerospace datasets, deriving actionable insights, and supporting innovation in a high-stakes engineering environment.

What is an aerospace data science internship?

An Aerospace Data Science Internship is a temporary position for students or recent graduates to gain hands-on experience applying data science techniques within the aerospace industry. Interns typically work on projects involving data analysis, machine learning, and modeling to solve problems related to aircraft, spacecraft, or satellite systems. This role provides exposure to real-world aerospace challenges, allowing interns to develop both technical and industry-specific skills while collaborating with engineers, scientists, and data professionals.
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Infographic showing various Aerospace Data Science Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% 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 (Governance)

Mitsubishi Heavy Industries Group

Lake Mary, FL โ€ข On-site

Internship

Re-posted 12 days ago


Job description

Data Science Associate (Governance)

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

We are seeking a motivated and analytical Data Science Associate to support Compliance, Legal, Assurance, and Governance functions by embedding data analytics into compliance, risk, and controls activities across the organization. This earlycareer role is designed for candidates interested in applying data science, automation, and emerging technologies to improve assurance effectiveness, enhance control monitoring, and advance the use of continuous, riskfocused oversight.

Key Responsibilities

  • Design, develop, and execute data analytics to support compliance reviews, audits, governance and testing
  • Support planning, risk assessments, fieldwork, reporting, and continuous monitoring through analytics
  • Build repeatable and scalable analytics routines to increase testing coverage, and dashboarding visualization; organize Intranet, policies and procedures and enhance efficiency of such processes
  • Apply automation and analytics tools including Python, Power BI, Microsoft tools, and GenAI-enabled applications
  • Support Compliance, JSOX and controls assurance activities through data extraction, testing, evidence analysis, and remediation validation
  • Evaluate control design and operating effectiveness using data-driven techniques
  • Ensure analytics are traceable, defensible, and aligned with assurance standards
  • Collaborate with Compliance, Legal, Internal Audit, Finance, IT and Operations, stakeholders

Other Duties & Responsibilities

  • Comply with all security, ethics, confidentiality, and data governance requirements
  • Support development of reusable analytics, templates, and documentation to scale analytics capabilities
  • Contribute to continuous improvement initiatives within Compliance, Legal, Assurance and Governance related functions
  • Communicate findings clearly and effectively with peers, management, and stakeholders
  • Maintain the highest level of integrity, professionalism, and accountability
  • Perform other related duties as required

Learning Outcomes

  • Exposure to Compliance, Legal, Internal Audit, risk management, and controls assurance processes
  • Hands-on experience applying data science to real-world business, governance and compliance challenges
  • Development of analytics, automation, and continuous monitoring solutions
  • Experience working cross-functionally with different teams
  • Mentorship and professional development within assurance and analytics disciplines

Requirements

  • Currently enrolled in a Bachelor's or Master's program in Data Science, Computer Science, Statistics, Data Analytics, Software Engineering, or a related field
  • Strong analytical and problem-solving skills with attention to detail
  • Experience with at least one modern programming language; Python preferred
  • Working knowledge of data analysis tools, databases, and Microsoft Office applications
  • Ability to interpret technical and business documentation and communicate findings effectively
  • Adaptable, curious, and proactive mindset with interest in a 1-2 year development experience
  • Ability to meet physical requirements including standing, walking, bending, and lifting up to 25-50 pounds in varying environments

Mitsubishi 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.