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Entry Level Information Science Jobs in Georgia (NOW HIRING)

At Wiss, Janney, Elstner Associates, Inc. (WJE), we invite you to bring your curiosity, creativity ... To help us learn more about you, apply here and be sure to: * include complete contact information ...

... Kelly Science & Clinical is seeking two Scientist I professionals to join a quality-focused ... Both openings are open to entry-level candidates. The team is especially interested in candidates ...

New

$14.50 - $19.50/hr

As an Entry-Level Technology Seller, you will create demand, identify opportunities, and help ... Science, Information Systems, Software Engineering, Computer Engineering, Data Science ...

Java Developer (Entry Level)

Atlanta, GA · On-site +1

$63K - $82K/yr

Bachelor's degree in computer science or equivalent Pay Transparency Laws in some locations require disclosure of compensation and/or benefits-related information. For this position, actual salaries ...

A recent STEM degree (e.g., Computer Science, Information Technology, Engineering, or a related discipline) OR 12+ months of professional work experience in finance, healthcare, banking, insurance ...

Showing results 41-60

Entry Level Information Science information

See Georgia salary details

$21.1K

$40.4K

$57.8K

How much do entry level information science jobs pay per year?

As of Sep 12, 2026, the average yearly pay for entry level information science in Georgia is $40,388.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $43,900.00 per year, depending on experience, location, and employer.

What is an entry level information science job?

Entry level information science jobs are positions designed for recent graduates or individuals with little professional experience in the information science field. These roles typically involve working with data management, information systems, digital libraries, or IT support, and may include job titles such as data analyst, records manager, or library technician. Entry-level positions provide foundational experience, help develop technical and analytical skills, and often serve as a stepping stone to more specialized or senior roles in information science.

What skills and qualifications are needed for an entry level information science professional?

To thrive as an Entry Level Information Science professional, you need a foundational understanding of information management, data organization, and research methods, often backed by a degree in information science or a related field. Familiarity with database management systems, data analytics tools, and basic programming languages like SQL or Python is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate within teams. These skills and qualities are crucial for ensuring accurate information handling and supporting data-driven decision-making in organizations.

What projects or tasks does an entry level information science professional typically work on?

As an entry-level information science professional, you can expect to work on a variety of tasks such as organizing and managing data sets, assisting with database administration, supporting data quality initiatives, and helping to implement information retrieval systems. You may also collaborate with cross-functional teams to improve data workflows and contribute to documentation or user training. These responsibilities offer hands-on experience with industry-standard tools and provide a strong foundation for future specialization or advancement within information management or analytics roles.

What is the difference between Entry Level Information Science vs Data Analyst?

AspectEntry Level Information ScienceData Analyst
Required CredentialsBachelor's in Information Science, Computer Science, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research institutions, educational settingsBusiness, finance, healthcare, and marketing sectors
Industry UsageData management, information systems, research projectsData interpretation, reporting, and visualization
Common Search IntentEntry level roles in information scienceEntry level data analysis roles

Entry Level Information Science focuses on managing and understanding information systems, often involving data management and research. In contrast, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

What job categories do people searching Entry Level Information Science jobs in Georgia look for?

The top searched job categories for Entry Level Information Science jobs in Georgia are:

What cities in Georgia are hiring for Entry Level Information Science jobs?

Cities in Georgia with the most Entry Level Information Science job openings:

Infographic showing various Entry Level Information Science job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,388 per year, or $19.4 per hour.

Health Data Science Consultant- Senior Associate

Atlanta, GA

Pwc
Finance and Insurance • 10K+ employees

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz


Job description

Industry/Sector

HI X-Sector

Specialism

Benefits

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Health Data Science Consultant- Senior Associate, you will engage with clients to analyze workforce data, identify trends, and develop predictive models that drive strategic decisions and enhance employee performance. Within our Workforce Consulting practice, you will focus on leveraging data and insights to optimize workforce strategies, improve employee engagement, and drive organizational effectiveness. In this role, you will provide actionable recommendations that help clients make informed workforce decisions.
As a Senior Associate, you will build meaningful client connections and learn 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 outcomes. 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 utilize a broad range of tools and methodologies to generate new ideas and solve problems. You will interpret data to inform insights and recommendations, upholding professional and technical standards. This position offers a dynamic environment where you can develop a deeper understanding of the business context and how it is evolving.
Responsibilities
- Analyzing client workforce data to identify trends and develop predictive models
- Leveraging data insights to provide actionable recommendations for workforce decisions
- Developing and implementing strategies to optimize workforce and enhance employee engagement
- Utilizing analytics software and tools such as Alteryx and Power BI for data visualization and reporting
- Collaborating with clients to understand their human resources needs and deliver tailored solutions
- Applying machine learning techniques to improve data-driven decision-making processes
- Conducting complex data analysis to support organizational development and talent management initiatives
- Building and maintaining client relationships to drive strategic decisions and improve performance
- Guiding teams in the use of emerging technologies and innovative methodologies in workforce analytics
- Interpreting data to inform insights and recommendations for enhancing organizational effectiveness
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Actuarial Science, Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Finance, Financial Mathematics/Quantitative Finance, Government/Public Policy, Health Administration/Public Health, Human Resources/Industrial Relations, Mathematics/Statistics, Organizational Management/Behavior, Psychology/Social Psychology, Social Sciences/Humanities, Taxation

- Assessing healthcare claims data, including standard code sets such as ICD, CPT, HCPCS, NDC, and DRG
- Building machine learning models across regression, classification, gradient boosting, and clustering, with disciplined validation practices
- Applying risk adjustment methodologies such as HCC, CDPS, and HHS-HCC, along with medical economics concepts including PMPM, trend, total cost of care, and MLR
- Utilizing advanced data analytics tools like Alteryx and Power BI
- Developing predictive models using machine learning techniques
- Excelling in complex data analysis and data-driven decision making
- Demonstrating proficiency in Python for data analysis
- Navigating ambiguity with critical thinking and problem-solving skills
- Building meaningful client relationships through effective communication

Travel Requirements

Up to 60%

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.

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK