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Information Science Jobs in Kentucky (NOW HIRING)

Pwc

Data Engineer - Manager

Louisville, KY

... Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics - 5 years of experience What Sets ...

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Information Science information

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$4

$37

$55

How much do information science jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for information science in Kentucky is $37.09, according to ZipRecruiter salary data. Most workers in this role earn between $25.87 and $44.28 per hour, depending on experience, location, and employer.

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 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 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, or user experience designer. 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.

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 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 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.
More about Information Science jobs
What are popular job titles related to Information Science jobs in Kentucky? For Information Science jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Information Science jobs in Kentucky look for? The top searched job categories for Information Science jobs in Kentucky are:
Information Science jobs near you
Infographic showing various Information Science job openings in Kentucky as of August 2026, with employment types broken down into 6% Internship, 88% Full Time, and 6% Part Time. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $77,149 per year, or $37.1 per hour.

AI & GenAI Data Scientist-Senior Associate

Pwc

Louisville, KY • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist-Senior Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable.
As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Your contributions will be crucial in transforming data into insights, driving business growth, and enabling informed decision-making.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing and deploying scalable AI and Machine Learning solutions using advanced technologies
- Collaborating with clients to understand their data needs and deliver tailored solutions
- Utilizing programming languages such as Python and C++ to build robust data models
- Managing data pipelines and confirming data quality and integration across platforms
- Applying machine learning libraries like TensorFlow and Scikit-Learn to enhance model performance
- Conducting complex data analysis to inform strategic decision-making
- Leveraging natural language processing and text analytics for innovative AI applications
- Building and maintaining data infrastructure to support AI-driven automation
- Mentoring junior team members and fostering a collaborative work environment
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing Python for complex data analysis and modeling
- Excelling in neural network design and reinforcement learning agents
- Applying natural language processing techniques for text analytics
- Leveraging TensorFlow and Scikit-Learn for deep learning projects

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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