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Entry Level Data Science Jobs in Newnan, GA (NOW HIRING)

Pwc

US Tech - FTO Senior Associate

Atlanta, GA

$55K - $187K/yr

Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Atlanta, GA · On-site

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Albireo Energy

Systems Integrator (Entry-Level)

Atlanta, GA · On-site

$100K/yr

Bachelor's degree in Electrical Engineering, Computer Engineering, or Computer Science * Coursework ... Industry experience with data centers, critical environments, or rail is a plus * Ability to travel ...

New

United States Army

Active Entomologist

Atlanta, GA

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

United States Army

Reserve Entomologist

Atlanta, GA

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

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All JobsData Science JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Newnan, GA

Entry Level Data Science information

See Newnan, GA salary details

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$17

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How much do entry level data science jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for entry level data science in Newnan, GA is $17.20, according to ZipRecruiter salary data. Most workers in this role earn between $14.52 and $19.33 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

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

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

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

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

What are the most commonly searched types of Data Science jobs in Newnan, GA? The most popular types of Data Science jobs in Newnan, GA are:
What are popular job titles related to Entry Level Data Science jobs in Newnan, GA? For Entry Level Data Science jobs in Newnan, GA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Newnan, GA look for? The top searched job categories for Entry Level Data Science jobs in Newnan, GA are:
What cities near Newnan, GA are hiring for Entry Level Data Science jobs? Cities near Newnan, GA with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Newnan, GA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $35,766 per year, or $17.2 per hour.

Bank Platform Transformation - Integration Architect-Engineer - Sr Associate

Pwc

Atlanta, GA

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

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

Banking and Capital Markets

Specialism

Operations

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Bank Platform Transformation - Integration Architect-Engineer - Sr Associate, you will design and implement seamless integration solutions and robust platform architectures for clients, enabling efficient data flow and optimizing technology infrastructure for enhanced business performance. 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. In this role, you will anticipate the needs of your teams and clients, delivering quality solutions within our Business & Supply Chain Operations practice.
In this role at PwC, you will engage with the Banking and Capital Markets sector, focusing on Core Banking Technology. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while interpreting data to inform insights and recommendations. Your work will contribute to understanding the broader objectives of your projects and how they fit into the overall strategy. This is an opportunity to develop a deeper understanding of the business context and how it is evolving, while upholding professional and technical standards.
Responsibilities
- Designing and implementing seamless integration solutions to connect various organizational systems and applications
- Creating robust architectures that enable efficient data flow and enhance overall business processes
- Utilizing technical proficiency in Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform for platform architecture development
- Managing and optimizing technology infrastructure to improve business performance in the financial services sector
- Leading the integration of enterprise applications using tools like Mulesoft Anypoint Platform and Apigee
- Conducting business requirements analysis to align integration solutions with client needs
- Collaborating with cross-functional teams to support core banking technology initiatives
- Applying agile methodology to manage project lifecycles and deliver integration projects on time
- Troubleshooting and resolving integration issues to maintain system interoperability and performance
- Developing and maintaining client relationships to understand and anticipate their integration needs
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: Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Engineering, Mathematics/Statistics

- Developing and maintaining enterprise integration architecture using ESBs, API gateways, event-streaming platforms, and AWS services, including API Gateway, Lambda, SQS, and SNS
- Integrating, configuring, and optimizing Fiserv Premier and DNA core banking platforms
- Documenting solution designs, supporting architecture review boards, managing cross-team dependencies, and identifying and mitigating risks
- Utilizing Agile methodologies for seamless project execution
- Leveraging AWS, Azure, and Google Cloud Platform for integration solutions
- Demonstrating proficiency in API Management and RESTful API design
- Navigating complex banking and capital markets environments
- Developing meaningful client relationships through effective communication
- Embracing change and fostering innovation in technology integration

Travel Requirements

Up to 40%

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.

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