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Internship Science Jobs in Decatur, GA (NOW HIRING)

Intern

Smyrna, GA · On-site

$15 - $20/hr

We can accommodate interns at most branch locations. This is a full-time, paid position ... Major in Plant Science, Horticultural Sciences, Agriculture, Landscape Management, Urban Forestry ...

Intern

Alpharetta, GA

$14.25 - $19/hr

We can accommodate interns at most branch locations. This is a full-time, paid position ... Major in Plant Science, Horticultural Sciences, Agriculture, Landscape Management, Urban Forestry ...

Digital Analyst Internships

Atlanta, GA

$94K - $112K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Digital Analyst Internships

Kennesaw, GA

$91K - $107K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... life sciences solutions from ideation to market. This role would offer hands-on experience in ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... life sciences solutions from ideation to market. This role would offer hands-on experience in ...

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Showing results 1-20

Internship Science information

See Decatur, GA salary details

$8

$16

$23

How much do internship science jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for internship science in Decatur, GA is $16.90, according to ZipRecruiter salary data. Most workers in this role earn between $14.09 and $18.80 per hour, depending on experience, location, and employer.

What are some common projects or tasks assigned to science interns during their internship?

Science interns typically support ongoing research by assisting with laboratory experiments, data collection, and analysis under the supervision of experienced scientists. They may also be involved in preparing reports, maintaining lab equipment, and participating in team meetings to discuss research progress. The specific tasks can vary depending on the field—such as biology, chemistry, or environmental science—but interns are generally exposed to hands-on activities that help them develop technical and analytical skills while learning about real-world scientific workflows.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships provide experience in auditing, consulting, tax, and advisory services and are highly competitive for students pursuing careers in accounting and finance.

Which internship is best for science students?

The best internship for science students depends on their field of interest, such as research, laboratory work, or data analysis. Popular options include internships at research institutions, government agencies, or private companies that offer hands-on experience, mentorship, and relevant skills like laboratory techniques or data management.

What are Internship Science positions?

Internship Science positions are temporary roles designed for students or recent graduates to gain practical experience in scientific fields such as biology, chemistry, physics, or engineering. These internships provide hands-on training, mentorship, and the opportunity to work on real-world projects, often in research labs, industry, or academia. They help interns develop technical skills, understand professional scientific environments, and build networks that can be valuable for future careers.

Is a 3.4 GPA good for internships?

For an internship in science, a 3.4 GPA is generally considered acceptable, especially if complemented by relevant skills, research experience, or coursework. Many employers value practical experience and technical skills alongside GPA, so a 3.4 can still make you a competitive candidate for science internships.

Can a 16 year old work at NASA?

Internship Science positions at NASA typically require applicants to be at least 18 years old due to federal employment regulations and security clearance requirements. However, some educational or volunteer opportunities may be available for younger students, but these are generally not classified as formal internships. It is advisable to check NASA's official programs and eligibility criteria for specific opportunities.

What is the difference between Internship Science vs Research Assistant?

AspectInternship ScienceResearch Assistant
Required CredentialsTypically students or recent graduates, often pursuing a degree in scienceUsually holds a relevant degree, sometimes with specialized certifications
Work EnvironmentEducational institutions, labs, or industry settings, often part-time or temporaryResearch labs, academic institutions, or industry, often full-time
Employer & Industry UsageUniversities, research institutes, biotech companiesUniversities, government agencies, private research firms
Common Search & Comparison IntentUnderstanding entry-level opportunities for studentsClarifying roles for those seeking research positions

Internship Science positions are typically designed for students or recent graduates gaining initial experience, often part-time or temporary. Research Assistant roles usually require a relevant degree and involve more advanced responsibilities in ongoing research projects. Both roles are common in academic and research settings but differ mainly in experience level and job scope.

What are the key skills and qualifications needed to thrive as a Science Intern, and why are they important?

To thrive as a Science Intern, you generally need a solid academic background in a scientific discipline, basic laboratory skills, and a keen interest in research, often supported by relevant coursework or prior lab experience. Familiarity with laboratory equipment, data analysis software, and safety protocols is typically required. Strong attention to detail, curiosity, and effective teamwork and communication skills help interns contribute meaningfully to research projects. These skills ensure interns can safely conduct experiments, accurately analyze results, and collaborate efficiently within a scientific team.
What are the most commonly searched types of Science jobs in Decatur, GA? The most popular types of Science jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Internship Science jobs? Cities near Decatur, GA with the most Internship Science job openings:
Infographic showing various Internship Science job openings in Decatur, GA as of June 2026, with employment types broken down into 2% Internship, 75% Full Time, 21% Part Time, and 2% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $35,143 per year, or $16.9 per hour.
Lead Data Scientist - Gen AI

Lead Data Scientist - Gen AI

State Farm

Dunwoody, GA

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago


State Farm rating

7.5

Company rating: 7.5 out of 10

Based on 1,368 frontline employees who took The Breakroom Quiz

196th of 261 rated insurance


Job description

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

HYBRID: Qualified candidates must be residing or relcoate within a 180-mile radius of a hub location listed below will be classified as a Hybrid employee. In a hybrid work arrangement, you will be able to work remotely most of the time, with in-office expectations.
HUB LOCATIONS: Bloomington, IL; Dunwoody, GA; Richardson, TX; or Tempe, AZ 

SPONSORSHIP: Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity.


Responsibilities

State Farm is seeking Data Scientists with experience in deep learning with Computer Vision and Nature Language Processing (NLP) and GenAI to support the growing demand for data science solutions across the organization. We are looking for talented, motivated individuals who will partner with business areas to help drive results for the enterprise via the development and adoption of AI/ML solutions.

Applicants for this posting will be considered for Lead Data Scientist openings in Enterprise Technology – Data & AI. This area supports AI/ML solution development for Claims, Marketing, and other internal departments. It also hosts centers of excellence for natural language processing, experimental design, generative AI, & data science training/research.

At State Farm, we believe in fostering professional growth and development. As a Lead Data Scientist at State Farm, you will have the opportunity to expand your analytic skill set across multiple development areas. Being a trustworthy consultant to business, you continue to develop and improve your communication skills as you explain technical concepts to your business partners. The diverse range of projects you will work on will refine your knowledge in AI/ML topics, software development practices, and tool development for department use.

Data Science at State Farm:

As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. In this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. This opportunity affords consideration for data scientists who can bring in-demand skills and disciplines to our data science suites. Below are some of the tasks you can expect in the typical day of a Data Scientist:

  • Develop and validate advanced deep learning models and GenAI solutions
  • Provide input into and/or build datasets to support AI/ML solution development
  • Collaborate with other team members on scoping solutions and project decision points
  • Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners
  • Lead/mentor other data scientists, interns, and other technical work teams
  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices
  • Serve as a peer reviewer to other model development teams
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that delivers business outcomes for State Farm’s AI/ML portfolio
  • Assess model performance, investigate changes, and perform model updates as necessary.

Why Join Our Data Science Team?

At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to develop both professionally & analytically. You will strengthen your communication skills through interactions with technical and non-technical business partners. Our Data Scientists also embrace staying current with the evolving data science landscape.

The Selection Process:

1. After submitting your application, our recruitment team will carefully review your qualifications. If your profile aligns with our requirements, you will receive an invite to complete a video recording.

2. If selected to move forward, you will have the opportunity to participate in a live video interview with members of our hiring team. This interview focus on roleplaying interactions with a data science business partner and interpreting code and graphical outputs.

3. The next step is another live video interview with members of our hiring team. This interview will provide a chance for us to further assess your technical expertise and suitability for the role.

4. Following the successful completion of the Hiring Team round, competitive candidates may be invited to the final stage of the process: an in-person final loop interview. This round will involve interviews with members of our hiring panel, allowing us to gain deeper insights into your skills and experiences.


Qualifications
  • Completed master’s or PhD in an analytical or engineering field such as statistics, computer science, mathematics, nature science (physics, chemistry etc.), economics, data science, quantitative marketing, operations research, industrial engineering, etc., with 3+ years of predictive model building experience
  • Experience with Python, deep learning frameworks (e.g., PyTorch), and fine-tuning open-source Computer Vision and NLP models
  • Experience with GenAI (e.g., LLM and Agentic AI) solution development
  • Experience in end-to-end ML models development for production (i.e., scoping project, design, ground truth collection, training, validation, and monitoring)
  • Experience with IDEs (e.g., IntelliJ, VS Code), Linux terminal, version control and cloud-based tools for ML development (e.g., AWS SageMaker)
  • Solid general coding practice and computer knowledge (e.g., latency vs throughput)
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential starting salary range: $110,000 - $160,000. Starting salary will be based on skills, background, and experience (High end of the range limited to applicants with significant relevant experience)
  • Potential yearly incentive pay up to 15% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

Qualifications:
  • Completed master’s or PhD in an analytical or engineering field such as statistics, computer science, mathematics, nature science (physics, chemistry etc.), economics, data science, quantitative marketing, operations research, industrial engineering, etc., with 3+ years of predictive model building experience
  • Experience with Python, deep learning frameworks (e.g., PyTorch), and fine-tuning open-source Computer Vision and NLP models
  • Experience with GenAI (e.g., LLM and Agentic AI) solution development
  • Experience in end-to-end ML models development for production (i.e., scoping project, design, ground truth collection, training, validation, and monitoring)
  • Experience with IDEs (e.g., IntelliJ, VS Code), Linux terminal, version control and cloud-based tools for ML development (e.g., AWS SageMaker)
  • Solid general coding practice and computer knowledge (e.g., latency vs throughput)
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels
Education:UNAVAILABLEEmployment Type: FULL_TIME

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