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Data Science Internship Jobs in Georgia (NOW HIRING)

This paid summer internship is designed for local students interested in data science, business analytics, automotive technology, finance, economics, engineering, computer science, or market research.

This paid summer internship is designed for local students interested in data science, business analytics, automotive technology, finance, economics, engineering, computer science, or market research.

This paid summer internship is designed for local students interested in data science, business analytics, automotive technology, finance, economics, engineering, computer science, or market research.

This paid summer internship is designed for local students interested in data science, business analytics, automotive technology, finance, economics, engineering, computer science, or market research.

... Science, Engineering, or a related quantitative field. * 3+ years of applied AI, data management, or machine learning experience. Strong internship, research, or academic project work is welcome in ...

Minimum 2-4 years of professional experience in AI engineering, ML engineering, or applied data science (combination of internships and professional experience considered). * Demonstrated experience ...

Minimum 2-4 years of professional experience in AI engineering, ML engineering, or applied data science (combination of internships and professional experience considered). * Demonstrated experience ...

Summer 2026 STEM Internship

Dalton, GA

$14.75 - $19.25/hr

... or computer science professionals on real-world projects and initiatives. Assist with data ... Schedule Summer internship (Up to 12 weeks) 25-40 hours per week First shift Benefits of the ...

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Data Science Internship information

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$10

$19

$35

How much do data science internship jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for data science internship in Georgia is $19.00, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $20.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Science Internship position, and why are they important?

To thrive as a Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by progress towards a degree in a quantitative field. Familiarity with tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau, Power BI) is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication are essential soft skills for this role. These abilities are crucial for drawing insights from data, collaborating with technical and non-technical colleagues, and contributing meaningfully to projects.

What is a Data Science Internship job?

A Data Science Internship is a temporary position designed to provide hands-on experience in data analysis, machine learning, and statistical modeling. Interns typically work with large datasets, clean and preprocess data, build models, and generate insights to support business decisions. They may also collaborate with data scientists, engineers, and business teams to solve real-world problems. This role helps develop technical skills in Python, SQL, and data visualization while gaining industry exposure.

What types of projects or tasks can I expect to work on during a Data Science Internship?

As a Data Science Intern, you may be involved in projects such as analyzing datasets to uncover trends, building and testing predictive models, or creating visual reports to help stakeholders understand key findings. Interns often support ongoing research, assist with data cleaning and preprocessing, and collaborate on team projects under the guidance of experienced data scientists. Depending on the company's focus, you might also contribute to deploying models or automating data pipelines. These tasks are designed to give you practical experience with real-world data challenges and help develop your technical and analytical skills.

What are the most commonly searched types of Data Science jobs in Georgia? The most popular types of Data Science jobs in Georgia are:
What cities in Georgia are hiring for Data Science Internship jobs? Cities in Georgia with the most Data Science Internship job openings:
Automotive Analyst Intern

Automotive Analyst Intern

Hearst

Lawrenceville, GA

$20/hr

Full-time

Posted 15 days ago


Hearst rating

6.8

Company rating: 6.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

48th of 65 rated media


Job description

Do you like cars, data, technology, or figuring out what makes markets move?

Black Book is looking for curious, detail-oriented students who want to see how data is used in the real world. Our team tracks automotive market trends, reviews vehicle information, studies used vehicle market activity, and helps businesses better understand the automotive industry.

This paid summer internship is designed for local students interested in data science, business analytics, automotive technology, finance, economics, engineering, computer science, or market research.

Internship Details

Company

Black Book

Location

1745 N. Brown Road, Suite 130, Lawrenceville, GA 30043

Schedule

Approximately 18 hours per week

Workdays

Tuesday, Wednesday, and Thursday

Hours

6 hours per day

Program Dates

End of May through the first week of August

Pay

$20 per hour


What you will Learn

As an Automotive Data Analyst Intern, you will get hands-on exposure to how an automotive data company turns raw information into useful insights. You will learn how vehicle data is gathered, reviewed, organized, and used by companies across the auto industry.

  • Research trends in the used vehicle market

  • Review automotive data for accuracy and consistency

  • Learn how analysts track market changes and pricing patterns

  • Observe online automotive auctions and market activity

  • Support reports, presentations, and team research projects

  • Help organize vehicle information and market research findings

  • Work with analysts and data professionals to understand how raw data becomes business insight

  • Explore how vehicle details such as year, make, model, mileage, condition, options, location, and market demand are used in automotive data analysis

Who Should Apply

  • Students interested in data, cars, technology, business, finance, or analytics

  • Students who are comfortable working with numbers and details

  • Curious problem-solvers who like spotting trends and patterns

  • Organized, reliable students who are willing to learn and ask good questions

  • Strong communicators who can explain what they find

  • Students comfortable using Microsoft Office tools such as Word and PowerPoint

  • Team-oriented students who also enjoy independent work

Great Fit for Students Interested In

  • Data Science

  • Business Analytics

  • Automotive Technology

  • Finance or Economics

  • Computer Science

  • Engineering

  • Market Research

  • Automotive Data and Technology

Why this role is cool

Most people see cars as transportation. We see them as data.

Every vehicle has a story: year, make, model, mileage, condition, options, location, and market demand. Black Book helps turn vehicle information and market activity into insights used by lenders, dealerships, manufacturers, technology companies, and other automotive professionals.

Translation: students will see how STEM skills actually get used outside the classroom. No mystery worksheet energy here.

Prior automotive experience is not required. Curiosity is.

About Black Book

A wholly owned subsidiary of HEARST (one of the nations' largest diversified media companies), and part of the HEARST Transportation Division, Black Book is one of the most recognizable brands in the industry and is a leading provider of vehicle pricing and automotive data and analytics to the automotive and finance industries.  With a focus on innovative solutions, world class data and analytics and a goal of delivering our customers the most precise data to help them reduce risk and increase profitability, we publish and deliver our data on a daily, weekly, and monthly basis in various electronic formats which include, but are not limited to: data feeds; web-services; Internet-based applications; smart phone resident applications; online trade appraisal service software; traditionally printed guidebooks.

We are guided by our core values of Own It, Continuously Improve, Be Agile and Celebrate Success, while focusing on our unique offerings that include our Data, our Approach, and our Flexibility.

To learn more about our products and company history, please visit our website at www.BlackBook.com


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