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Seasonal Data Science Intern Jobs in Georgia (NOW HIRING)

GAINSystems

Data Science Intern

Atlanta, GA · On-site

About the Role We are looking for a motivated and technically curious Data Science Intern to join our team. You will work alongside experienced data scientists and engineers on real-world problems ...

Werfen

Data Analytics Intern

Norcross, GA · On-site

Job Summary We are seeking a highly motivated Data Analytics Scientist/Intern to support the development of innovative In Vitro Diagnostic (IVD) products for the Transfusion technology center. This ...

Werfen

Data Analytics Intern

Norcross, GA · On-site

Overview Job Summary We are seeking a highly motivated Data Analytics Scientist/Intern to support the development of innovative In Vitro Diagnostic (IVD) products for the Transfusion technology ...

Werfen

Data Analytics Intern

Norcross, GA

Overview Job Summary We are seeking a highly motivated Data Analytics Scientist/Intern to support the development of innovative In Vitro Diagnostic (IVD) products for the Transfusion technology ...

Werfen

Data Analytics Intern

Norcross, GA

Overview Job Summary We are seeking a highly motivated Data Analytics Scientist/Intern to support the development of innovative In Vitro Diagnostic (IVD) products for the Transfusion technology ...

Werfen

Data Analytics Intern

Norcross, GA

Overview Job Summary We are seeking a highly motivated Data Analytics Scientist/Intern to support the development of innovative In Vitro Diagnostic (IVD) products for the Transfusion technology ...

Werfen

Data Analytics Intern

Norcross, GA

Overview Job Summary We are seeking a highly motivated Data Analytics Scientist/Intern to support the development of innovative In Vitro Diagnostic (IVD) products for the Transfusion technology ...

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Seasonal Data Science Intern information

What is the difference between Seasonal Data Science Intern vs Data Analyst Intern?

AspectSeasonal Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or holding a degree in data science, statistics, or related fieldUsually pursuing or holding a degree in data analysis, statistics, or related field
Work EnvironmentTemporary, project-based roles often during peak seasons or academic breaksTemporary or internship roles focused on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, retail, and consulting industries for seasonal projectsCommon across various industries including marketing, finance, and healthcare

The Seasonal Data Science Intern and Data Analyst Intern roles share similarities in educational background and work environment, often serving as entry points for students. The key difference lies in focus: data science interns typically work on predictive modeling and machine learning tasks, while data analyst interns focus on data interpretation and reporting. Both roles are valuable for gaining industry experience during specific seasons or academic breaks.

What are popular job titles related to Seasonal Data Science Intern jobs in Georgia? For Seasonal Data Science Intern jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Seasonal Data Science Intern jobs in Georgia look for? The top searched job categories for Seasonal Data Science Intern jobs in Georgia are:
What cities in Georgia are hiring for Seasonal Data Science Intern jobs? Cities in Georgia with the most Seasonal Data Science Intern job openings:
Seasonal Data Science Intern jobs near you
Infographic showing various Seasonal Data Science Intern job openings in Georgia as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 89% Physical, 10% Hybrid, and 1% Remote job distribution.
Data Science Intern

Data Science Intern

GAINSystems

Atlanta, GA • On-site

Internship

Posted 26 days ago

Job description

Location: Atlanta
Duration: Summer 2026 | 3-6 Months
Department: Data Science / Machine Learning
About GAINS
GAINS is on a mission to make supply chains smarter, faster, and self-improving, powered by AI. Our decision intelligence platform doesn't just support decisions, it drives them by aligning strategy, planning, and execution across every level of the supply chain. We serve inventory-intensive industries where the stakes are high and the complexity is real, helping customers move from reactive, spreadsheet-driven planning to continuously learning, AI-led operations that deliver measurable results fast. At GAINS, we call it Moving Forward Faster- and it's not a tagline, it's how we're redefining what's possible in driving supply chain decisions.
About the Role
We are looking for a motivated and technically curious Data Science Intern to join our team. You will work alongside experienced data scientists and engineers on real-world problems, contributing to feature engineering, data pipeline development, and automation workflows that power our machine learning initiatives. This is a hands-on role where your code ships to production systems.
What You'll Do
  • Design and implement feature engineering pipelines to prepare data for machine learning models
  • Build and maintain automated data pipelines for ingestion, transformation, and validation
  • Develop Python scripts and utilities to streamline repetitive data science workflows
  • Collaborate with the data science team to understand business requirements and translate them into clean, testable code
  • Use AI coding tools (e.g., GitHub Copilot, Claude, ChatGPT) fluently to accelerate development and improve code quality
  • Document your work clearly so that pipelines and features are maintainable and reproducible

What We're Looking For
Must Have
  • Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Statistics, Mathematics, or a related field
  • Strong proficiency in Python (pandas, NumPy, scikit-learn)
  • Foundational understanding of data science concepts - supervised/unsupervised learning, model evaluation, feature selection
  • Demonstrated ability to use AI tools to write, debug, and refactor code effectively
  • Comfort working with structured and semi-structured data (CSV, JSON, SQL)

Nice to Have
  • Familiarity with Azure cloud services (Azure Data Lake, Azure Data Factory, or similar)
  • Exposure to Databricks - notebooks, Delta tables, or Spark-based data processing
  • Experience with MLflow for experiment tracking and model management
  • Experience with version control (Git) and collaborative development workflows
  • Basic understanding of data quality and testing practices

What You'll Gain
  • Hands-on experience building production-grade data pipelines and ML-ready feature sets
  • Mentorship from senior data scientists and platform engineers
  • Exposure to modern MLOps tooling and cloud-based data infrastructure
  • Real impact - your work will directly support model training and deployment workflows

Why GAINS
  • Work on software that leverages AI and ML to solve real logistics challenges for customers
  • Direct impact on developer experience across the entire engineering org
  • Collaborative, low-bureaucracy environment where engineers own their work end-to-end
  • Competitive compensation and benefits
We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, veteran status or medical condition. We encourage people from all backgrounds to apply.

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