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Information Science Jobs in Indiana (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Indianapolis, IN · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics ...

North Newton School District

Science Teacher

Morocco, IN · On-site

$43K - $56K/yr

Science Teacher Position Purpose - Under the general supervision of the School Principal, to ... data information systems, data analysis and the formulation of action plans. - Knowledge of ...

North Newton School District

Science Teacher

Morocco, IN · On-site

$43K - $56K/yr

Science Teacher Position Purpose - Under the general supervision of the School Principal, to ... data information systems, data analysis and the formulation of action plans. - Knowledge of ...

North Newton School District

Science Teacher

Morocco, IN · On-site

$43K - $56K/yr

Until Filled Science Teacher Position Purpose - Under the general supervision of the School ... data information systems, data analysis and the formulation of action plans. - Knowledge of ...

North Newton School District

Science Teacher

Morocco, IN · On-site

$43K - $56K/yr

Untill Filled Science Teacher Position Purpose - Under the general supervision of the School ... data information systems, data analysis and the formulation of action plans. - Knowledge of ...

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How much do information science jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for information science in Indiana is $40.64, according to ZipRecruiter salary data. Most workers in this role earn between $28.37 and $48.51 per hour, depending on experience, location, and employer.

What is information science?

Information science is an interdisciplinary field that focuses on the collection, organization, storage, retrieval, and analysis of information. It combines aspects of computer science, library science, cognitive science, and social sciences to understand how people interact with information and technology. Information scientists often design systems and processes to manage data effectively, improve information accessibility, and support decision-making in various settings such as libraries, businesses, and research institutions.

What are the qualifications to get an information science job?

The qualifications for a career in information science (IS) include a bachelor’s degree in information systems, although librarians typically need an advanced degree. Most employers looking for librarians prefer several years of industry experience. Many of them also require passage of the PRAXIS II Library Media Specialist test or certification. Excellent organizational and technical skills are essential for either career path, and you must stay current with the technology. Interpersonal skills are also helpful, whether for dealing with the general public or other non-IT staff and colleagues.

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

To thrive as an Information Scientist, you need a strong foundation in data management, information retrieval, and analytical research methods, typically supported by a degree in information science or a related field. Familiarity with database management systems, data analysis tools (such as SQL, Python, or R), and metadata standards is often required, along with certifications like Certified Information Professional (CIP) being advantageous. Excellent problem-solving, communication, and organizational skills help in interpreting data needs and delivering actionable insights. These competencies ensure accurate data handling, effective information dissemination, and informed decision-making in organizations.

What are some common challenges faced by information science professionals when working with large datasets, and how are these typically addressed?

Information Science professionals often encounter challenges such as data quality issues, integrating data from diverse sources, and ensuring data security when working with large datasets. Addressing these challenges typically involves using advanced data cleaning techniques, employing robust data integration tools, and collaborating closely with IT and security teams to implement strong data governance policies. Continuous learning about new data management technologies and best practices is also essential to stay effective in this dynamic field.

What is the difference between Information Science vs Data Analyst?

AspectInformation ScienceData Analyst
Required CredentialsBachelor's or Master's in Information Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields; often includes certifications in data analysis tools
Work EnvironmentResearch labs, libraries, tech companies, academiaBusiness settings, finance, marketing, healthcare
Industry UsageInformation management, knowledge organization, information systemsData interpretation, reporting, data visualization

While both roles involve working with data and information, Information Science focuses on managing, organizing, and retrieving information systems, often in research or library contexts. Data Analysts primarily analyze data to generate insights for business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What do you do in information science?

In information science, professionals analyze, organize, and manage data and information systems to improve access and usability. They often work with databases, information retrieval, and data analysis tools to support decision-making and knowledge management.

What jobs can I do with information science?

With a degree in information science, you can pursue roles such as data analyst, data scientist, information systems manager, database administrator, user experience designer, or information security analyst. These jobs often require skills in data management, programming, and understanding of information systems, and may involve working with tools like SQL, Python, or data visualization software.
More about Information Science jobs

What are the most commonly searched types of Information Science jobs in Indiana?

The most popular types of Information Science jobs in Indiana are:

What are popular job titles related to Information Science jobs in Indiana?

For Information Science jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Information Science jobs in Indiana look for?

The top searched job categories for Information Science jobs in Indiana are:

What cities in Indiana are hiring for Information Science jobs?

Cities in Indiana with the most Information Science job openings:

Information Science jobs near you
Infographic showing various Information Science job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $84,525 per year, or $40.6 per hour.

R & D Intern - Computer & Data Science

Corteva Agriscience

Indianapolis, IN • On-site

Full-time, Internship

Posted yesterday

New

Job description

Who are we, and what do we do. Grow what's next. Grow your future.

Are you excited to contribute to innovative research that advances food security and sustainability. Corteva Agriscience is seeking students for full-time internships within our Research and Development organization in Indianapolis, Indiana. Interns will work closely with experienced scientists and technical experts in an industrial R&D setting, with opportunities to build skills, contribute to meaningful projects, and network across the company.

What You'll Do: Interns will work on one of many computer science-based projects including automation, software engineering, information science, machine learning, database building and visualization, statistics, geospatial analysis, and/or mathematical modeling. Engage with business users to gather requirements, understand use cases, and identify opportunities to improve internal tools, workflows, and business processes. Explore and implement AI, machine learning, analytics, and automation capabilities to improve efficiency, recommend process improvements, and support data-driven decision-making.

Develop AI-enabled solutions that use historical data and patterns to recommend templates, workflows, task structures, dependencies, or other ways to manage work more effectively. Integrate and analyze data from multiple internal sources to improve data quality, reporting, dashboards, chatbot capabilities, business insights, and connections across project activities, milestones, and deliverables. Develop and enhance internal tools through workflow automation, responsibility or role mapping, administrative process improvements, and functionality that reduces manual effort.

Work with geographic information systems, where applicable, to develop new data products and conduct assessments. What Skills You Need: Currently pursuing a Bachelors, Masters, or Doctorate degree in Computer Science, Data Science, Information Science, Machine Learning, Statistics, Automation or a related Field Must have successfully completed two full years of undergraduate-level computer science or Data Science curriculum including associated laboratory courses. Strong technical data skills and business communication, curiosity and willingness to interact with stakeholders, problem-solving mindset.

Interest or experience in data engineering, data pipelines, cloud data platforms, workflow orchestration, version control, testing, deployment, or CI/CD practices is a plus. Minimum 3.0 GPA Must be able to relocate to Indianapolis, IN for the duration of the internship. Must be able to work full-time (40 hours per week) for at least 10 weeks during the timeframe of May to August (some six-month internship opportunities available)

Experience with the R programming language, Python, cloud computing (Azure, AWS, GCP), and visualization packages is a plus but not required. Are you a good match. Apply today.

We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance.

Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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