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Information Science Internship Jobs (NOW HIRING)

MHI

Data Science Internship (Governance)

Lake Mary, FL · On-site

Data Science Associate (Governance) Company Overview At Mitsubishi Power, we're not just building ... Collaborate with Compliance, Legal, Internal Audit, Finance, IT and Operations, stakeholders Other ...

BMW Group

$26/hr

... Science internship position located in Columbus, OH. This is a part-time internship position for our Fall Rotation, from September 8, 2025 through December 12, 2025 in Columbus, OH. WHAT AWAITS YOU.

Crowe

Machine Learning Intern

Chicago, IL

$27 - $42/hr

... health information (PHI) detection in natural language Areas of Focus The data science internship is intended to expose the intern to what it means to do data science on a team in an enterprise ...

Crowe LLP

Machine Learning Intern

Tampa, FL · On-site

$27 - $42/hr

... health information (PHI) detection in natural language Areas of Focus The data science internship is intended to expose the intern to what it means to do data science on a team in an enterprise ...

Crowe LLP

Machine Learning Intern

San Francisco, CA

$27 - $42/hr

... health information (PHI) detection in natural language Areas of Focus The data science internship is intended to expose the intern to what it means to do data science on a team in an enterprise ...

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How much do information science internship jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for information science internship in the United States is $17.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an information science internship?

An Information Science Internship is a temporary position that allows students or recent graduates to gain practical experience in the field of information science. Interns typically work on projects involving data management, information retrieval, digital libraries, or user experience design. The internship provides hands-on learning opportunities and helps participants apply theoretical knowledge to real-world problems, often under the guidance of experienced professionals. It also helps interns build professional networks and enhance their resumes for future career opportunities.

What types of projects and responsibilities can I expect during an information science internship?

As an Information Science Intern, you may work on projects involving data organization, digital content management, and information retrieval systems. Responsibilities often include supporting data analysis, assisting with database maintenance, and helping optimize information workflows. You’ll likely collaborate closely with librarians, data scientists, and IT specialists, gaining hands-on experience in both technical and organizational aspects of information management. This exposure provides valuable insight into how information is structured and accessed in professional settings, preparing you for advanced roles in the field.

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

To thrive as an Information Science Intern, you need a solid grounding in data organization, information retrieval, and analytical thinking, usually supported by coursework in information science or library science. Familiarity with database management systems, data visualization tools, and programming languages such as SQL or Python is often required. Strong attention to detail, effective communication, and a willingness to learn help interns excel in collaborative and evolving environments. These skills enable interns to manage information efficiently and contribute meaningfully to data-driven projects.

What is the difference between Information Science Internship vs Data Analyst Internship?

AspectInformation Science InternshipData Analyst Internship
Required CredentialsRelevant coursework, basic programming, knowledge of information systemsStatistics, data analysis skills, proficiency in Excel, SQL, or Python
Work EnvironmentTech companies, research labs, libraries, or educational institutionsBusiness, finance, healthcare, or marketing firms
Industry UsageUsed across tech, academia, and information management sectorsPrimarily in business analytics, finance, and consulting

While both internships involve working with data and information, an Information Science Internship focuses on managing, organizing, and retrieving information systems, often with a broader tech and research orientation. In contrast, a Data Analyst Internship emphasizes analyzing data to generate insights for business decisions. Candidates should choose based on their career interests in information management versus data analysis roles.

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Information Science Internship jobs near you
Infographic showing various Information Science Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $36,265 per year, or $17.4 per hour.

Data Science Internship (Governance)

MHI

Lake Mary, FL • On-site

Internship

Re-posted 10 days ago

Mitsubishi Heavy Industries rating

9.1

Company rating: 9.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

21st of 496 rated machine equipment manufacturers

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 early-career 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, risk-focused 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, J-SOX 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.

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