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Data Science Internship Jobs in Georgia (NOW HIRING)

Coca-Cola

Machine Learning Architect II

Atlanta, GA

Partner with data science teams to transition machine learning models from experimentation to ... internship experience) inMLOps, Data Engineering, Software Engineering, or a related field. * 3+ ...

Coca-Cola

Senior Manager, Machine Learning Ops

Atlanta, GA

$125K - $160K/yr

Partner with data science teams to transition machine learning models from experimentation to ... internship experience) inMLOps, Data Engineering, Software Engineering, or a related field. * 3+ ...

Fisec Global

Gen AI Engineer

Atlanta, GA · On-site

Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in ... Experience mentoring junior colleagues and interns.

Georgia

Internship - PT

Atlanta, GA

$15/hr

Perform data entry and assist with reporting tasks * Provide administrative support to program ... Coursework or background in Public Administration, Criminal Justice, Social Work, Political Science ...

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How much do data science internship jobs pay per hour?

As of Aug 14, 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 a data science internship, 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 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:

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For Data Science Internship jobs in Georgia, the most frequently searched job titles are:

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The top searched job categories for Data Science Internship jobs in Georgia are:

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Cities in Georgia with the most Data Science Internship job openings:

Data Science Internship jobs near you
Infographic showing various Data Science Internship job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,525 per year, or $19 per hour.

Consultant, AI Strategy & Governance

Thought Logic Consulting

Atlanta, GA • On-site

Full-time

Re-posted 12 days ago

Job description

Consultant, AI Strategy & Governance
Department: Data Analytics
Employment Type: Full Time
Location: Atlanta
Description
Thought Logic Consulting is a functionally-led, digitally enabled consultancy that exists at the intersection of business transformation and technology innovation. We partner with clients to solve their most complex business problems and we do it in a highly collaborative, local-market approach, giving clients senior-level attention and giving our consultants room to grow, lead, and build.
The RoleWe are looking for an analytically strong and motivated Consultant with 2-3 years of experience (or a recent MS/MBA graduate with a concentration in Data, Technology, AI, or a related field) to join our growing Data & AI practice based in Atlanta, GA. In this role, you will support senior consultants on client engagements by conducting research and benchmarking, documenting stakeholder interviews, developing strategy and governance artifacts and deliverables, and helping clients build the operational foundations for responsible AI adoption at scale. You will gain hands-on exposure to enterprise AI governance, operating model design, and cross-functional stakeholder engagement while building your consulting skills in a collaborative, client-facing environment.
What You'll Do
  • Support current-state discovery by conducting research and benchmarking to assess AI maturity and industry positioning
  • Support intake and prioritization as well as the development of frameworks to facilitate it through data gathering and analysis
  • Synthesize findings into structured insights, reports, and recommendations
  • Develop executive-ready deliverables including process maps, workflow diagrams, RACIs, roadmaps, presentations, and summaries
  • Support stakeholder alignment across enterprise architecture, legal, privacy, information security, and business teams
  • Build and maintain inventories of AI tools, models, data assets, and vendors
  • Draft governance policies, standards, and risk classification templates, including guidance on tool usage
  • Partner with engineering teams to support documentation of monitoring approaches, model performance tracking, and risk controls
  • Participate in governance forums, documenting decisions and tracking action items
  • Coordinate stakeholder interviews and document key insights and requirements
  • Assist in development of training materials and adoption resources
  • Support cross-functional collaboration across legal, risk, compliance, and technology teams

Who You'll Work With
  • Senior strategists and engagement leads who will mentor you and provide hands-on guidance across client engagements
  • Clients across industries including financial services, energy and utilities, retail, healthcare, and technology who are building AI governance capabilities
  • Cross-functional stakeholders spanning technology, legal, risk, compliance, HR, and business operations
  • Colleagues who prioritize curiosity, humility, collaboration, and hands-on problem-solving
  • A supportive environment where ongoing learning and mentorship are central to your professional growth

What You'll Bring
  • 2-3 years of professional experience in consulting, data analytics, AI/technology strategy, governance, or a related analytical role; OR a recently completed MS or MBA with a concentration in Data Science, Technology, AI, Industrial Engineering, or a related field
  • Strong understanding of data and AI fundamentals including familiarity with Generative AI, Agentic AI, machine learning concepts, data governance, and responsible AI principles
  • Excellent analytical and research skills with the ability to synthesize complex information into clear, structured deliverables
  • Strong written and verbal communication skills, including the ability to create polished documents, presentations, and process visualizations
  • Ability to work collaboratively across teams, build rapport with stakeholders at various levels, and contribute to alignment and conflict resolution in cross-functional settings
  • Strong problem-solving orientation with comfort navigating ambiguity and managing multiple workstreams simultaneously
  • Proficiency in Microsoft Office (PowerPoint, Excel, Word) and familiarity with collaboration and visualization tools
  • Bachelor's degree in Business, Technology, Data Science, Engineering, Industrial Engineering, or a related field

Bonus Points If You Have
  • Previous consulting firm experience or internship in a strategy, governance, or analytics capacity
  • Exposure to AI governance frameworks, data governance programs, or enterprise operating model design
  • Familiarity with data and AI platforms such as Snowflake, Databricks, or Palantir Foundry
  • Background in Industrial Engineering, operations research, or process optimization methodologies
  • Experience with process mapping tools, data visualization, or business intelligence platforms
  • Relevant certifications in data, AI, cloud platforms, or project management

Why Thought Logic
  • Work on transformations that matter, not slide decks that sit on shelves
  • Real responsibility and ownership over how work gets delivered and how clients experience us
  • Direct access to firm leadership and influence over how we grow and evolve
  • A culture that values depth over optics, outcomes over activity, and people over process
  • The chance to grow your career in a firm that's scaling thoughtfully and intentionally, not just chasing growth for growth's sake
  • The opportunity to flex in a continuous learner environment. Get access and exposure to the latest tools, technologies and trends in the AI space

Apply