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Intern Data Scientist Machine Learning Jobs in Augusta, GA

iNovex Information Systems

Data Scientist 2

Augusta, GA · On-site

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

iNovex Information Systems

Data Scientist 3

Augusta, GA · On-site

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

Experience applying data science and machine learning techniques including logistic regression, natural language processing (NLP), clustering, neural networks, deep learning, image recognition, and ...

DigiFlight, Inc.

Data Scientist

Augusta, GA · On-site

$90 - $130/hr

Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field ...

Everwatch

Data Scientist, Senior

Augusta, GA

$62.50 - $69.72/hr

Experience applying data science and machine learning techniques including logistic regression, natural language processing (NLP), clustering, neural networks, deep learning, image recognition, and ...

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

Experience applying data science and machine learning techniques including logistic regression, natural language processing (NLP), clustering, neural networks, deep learning, image recognition, and ...

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

Experience applying data science and machine learning techniques including logistic regression, natural language processing (NLP), clustering, neural networks, deep learning, image recognition, and ...

Weeghman & Briggs LLC

Data Scientist 2

Augusta, GA · On-site

$114K - $127K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...

Weeghman and Briggs

Data Scientist 2

Augusta, GA · On-site

$114K - $127K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...

Weeghman & Briggs LLC

Data Scientist 2

Augusta, GA · On-site

$114K - $127K/yr

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field, a degree in ...

Weeghman & Briggs LLC

Data Scientist 2

Augusta, GA · On-site

$115 - $128/hr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...

KSB GIW, Inc.

Machine Learning Engineer

Grovetown, GA · On-site

$70 - $110/hr

Machine learning (PyTorch, scikit‑learn), Data (NumPy, pandas), Scientific computing (SciPy, Matplotlib) * Foundational understanding of scientific computing: numerical methods, simulation concepts ...

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How much do intern data scientist machine learning jobs pay per year?

As of Aug 26, 2026, the average yearly pay for intern data scientist machine learning in Augusta, GA is $40,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,600.00 and $43,200.00 per year, depending on experience, location, and employer.

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are popular job titles related to Intern Data Scientist Machine Learning jobs in Augusta, GA?

For Intern Data Scientist Machine Learning jobs in Augusta, GA, the most frequently searched job titles are:

What job categories do people searching Intern Data Scientist Machine Learning jobs in Augusta, GA look for?

The top searched job categories for Intern Data Scientist Machine Learning jobs in Augusta, GA are:

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Cities near Augusta, GA with the most Intern Data Scientist Machine Learning job openings:

Intern Data Scientist Machine Learning jobs near you
Infographic showing various Intern Data Scientist Machine Learning job openings in Augusta, GA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $40,029 per year, or $19.2 per hour.

Data Scientist - Machine Learning & AI

Savannah River National Laboratory

Aiken, SC

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New

Job description

Savannah River National Laboratory is seeking a highly motivated and self-starting AI (artificial intelligence) and machine learning researcher to join our team in creating and maintaining large-language model research tools, especially for cybersecurity data. The successful candidate will have strong experience in Python, AI, and cybersecurity, with a focus on developing and maintaining high-quality code using unit testing, continuous integration, and deep learning models and libraries. The ideal candidate will be a solid researcher (PhD preferred), an independent worker, a good communicator, and a team player with a strong ability to write and document his or her work.

"We put science to work!" 


Savannah River National Laboratory (SRNL) is a multi-program laboratory applying state of the art science and practical, high-value, cost-effective solutions to complex technical problems to protect the nation. Located at the U.S. Department of Energy's (DOE) Savannah River Site (SRS) in Aiken SC, the laboratory develops and deploys innovative technologies to address some of the nation's environmental, energy, and national security challenges.


Battelle Savannah River Alliance (BSRA) is constantly assessing trends to provide the best possible benefits to our workforce. We also negotiate cost effective premiums that will meet the needs of our evolving workforce. 


Some of the *Benefits offered to employees include:

*Benefits vary based upon employment status

  • Highly competitive Medical, Dental, and Vision options including HSA options with company provided seed
  • Short- & Long-Term Disability (company paid)
  • Life Insurance Non-Contributary 1X salary (company paid)
  • AD&D Non-contributary 1x salary (company paid)
  • Savings & Investment plan:
    • Qualified Non-Elective Company Contribution of 5% each pay period with immediate vesting
    • Company match 50 cents/dollar up to 8% (5 yrs. vesting in company match)
  • Contributory Life Insurance up to 5x Salary with $1M Cap
  • Contributory AD&D (employee, spouse and children)
  • Paid Time Off
  • Employee Assistance Plan
  • SRNL offers a competitive relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. 

For more information about our benefits, working here, and living here, visit the "About" tab at www.srnl.doe.gov.


BSRA is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. BSRA is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. Please email us at SRNLRecruiting@srnl.doe.gov with any questions regarding the hiring process or to request an accommodation.

The Global Security Directorate (GSD) of SRNL provides a team focused on staff development and infrastructure upgrades for nuclear reprocessing science and technology programs at SRNL. GSD is growing its support of its critical NNSA nonproliferation portfolios and is building its teams to support these enduring programs. GSD is looking for people who can use their talents and experience to help build state of the art business programs as SRNL continues to use it diverse creative staff to deliver the highest quality programs to its customer.

Minimum Qualifications: 

  • Bachelor's degree in Computer Science, Cybersecurity, or related field and 7-9 years of experience in software development, preferably in a research environment 
  • For ability to obtain and maintain a security clearance, US Citizenship is Legally Required
  • Strong experience in Python programming, including experience with AI and machine learning libraries (e.g. Pytorch, TensorFlow, scikit-learn) 
  • Experience with deep learning models and libraries, particularly Huggingface, Pytorch, etc. 
  • Strong understanding of cybersecurity concepts and threats 
  • Experience with unit testing and continuous integration (e.g. Jenkins, GitHub, or others) 
  • Excellent communication and teamwork skills 
  • Ability to write and document technical work 
  • Experience with version control systems (e.g. Git) 
  • Familiarity with Agile development methodologies 
  • Self-motivated and able to work independently 
  • Experience with Red Hat Enterprise Linux (RHEL) or similar Linux distributions 
  • Experience with batch processing tools such as PBS or SLURM 
  • Familiarity with data engineering and curation principles and practices 

  • Experience with data visualization tools such as Plotly/Dash, Kibana, or similar tools 

Preferred Qualifications: 

  • Experience with machine learning primitives and ability to choose the right approach for a given problem (e.g. decision trees, random forests, deep learning) 
  • Experience with natural language processing (NLP) techniques and libraries (e.g. NLTK, spaCy) 
  • Familiarity with containerization (e.g. Docker) 
  • Experience with cloud-based platforms (e.g. AWS, Azure) 
  • Certification in cybersecurity or a related field (e.g. CompTIA Security+, CISSP) 
  • Experience with proposal writing and research funding opportunities
  • Masters Degree in Computer Science, Cybersecurity, or related field
  • Develop and maintain large-language model research tools for cybersecurity data using Python, Huggingface models, and Pytorch libraries  or other equivalent state-of-the-art technology
  • Design and implement unit tests and continuous integration pipelines to ensure high-quality code 
  • Collaborate with team members to develop and maintain research tools and software applications 
  • Write and maintain technical documentation for research tools and software applications 
  • Participate in code reviews and contribute to the improvement of the overall codebase 
  • Develop and maintain strong understanding of cybersecurity concepts and threats 
  • Collaborate in writing proposals for external sponsors, Laboratory Directed Research and Development (LDRD) projects, and other funding opportunities 
  • Stay up-to-date with the latest developments in AI, cybersecurity, and large-language models 

Typical Tools and Technologies: 

  • Python libraries: NumPy, pandas, SciKit-Learn, Pytorch, TensorFlow 
  • Data visualization tools: Plotly/Dash, Kibana, Matplotlib, Seaborn 
  • Machine learning frameworks: SciKit-Learn, Pytorch, TensorFlow 
  • Operating Systems: RHEL, Linux 
  • Batch processing tools: PBS, SLURM 
  • Version control systems: Git 
  • Agile development methodologies: Scrum, Kanban 
  • Others as the technology stack changes

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