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Intern Data Science Insurance Jobs in Georgia (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Who we are AIG is a leading global insurance organization providing a wide range of property ... We are an applied data science team operating in an agile, production-oriented environment, and we ...

Who we are AIG is a leading global insurance organization providing a wide range of property ... We are an applied data science team operating in an agile, production-oriented environment, and we ...

Data Science Solutions Lead Data Science Solutions Lead Location: Ideal candidates will be able to ... insurance, wellness programs and financial education resources, to name a few. Elevance Health ...

Develops models that support State Farm's insurance pricing and underwriting decisions Data Science at State Farm : As a Data Scientist at State Farm, you will serve as a subject matter expert and ...

$17.64 - $22.02/hr

Loyalty Analytics Intern - Global Reports to: Loyalty & Consumer Engagement Strategy Manager ... Data Science, Engineering, or a related discipline * Academic, internship, or project experience ...

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Intern Data Science Insurance information

What are the key skills and qualifications needed to thrive as an Intern Data Science in Insurance, and why are they important?

To thrive as an Intern Data Science in Insurance, you need foundational knowledge in statistics, data analysis, and programming (often with Python or R), typically supported by coursework in data science or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is often expected. Strong analytical thinking, attention to detail, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting actionable insights from complex insurance data and supporting data-driven decision-making within the industry.

What types of projects can an Intern in Data Science expect to work on within the insurance industry?

As a Data Science Intern in the insurance sector, you can expect to work on projects such as analyzing customer data to identify risk factors, developing predictive models for claims, or assisting in the automation of underwriting processes. These projects often involve collaboration with actuarial, underwriting, and IT teams, providing interns with exposure to different facets of the business. You'll likely use tools like Python, R, and SQL while working with real datasets, and your contributions may directly impact decision-making and operational efficiency. This hands-on experience is valuable for understanding the practical applications of data science in a highly regulated and data-driven industry.

What does an Intern Data Science Insurance do?

An Intern Data Science Insurance assists data scientists and analysts in the insurance industry by collecting, cleaning, and analyzing data to help solve business problems. Their tasks often include working with large datasets, building predictive models, and creating visualizations to support risk assessment, fraud detection, and pricing strategies. They also collaborate with other departments to understand insurance processes and contribute to the development of data-driven solutions. This role offers hands-on experience with industry tools and methodologies, preparing interns for a career in data science within the insurance sector.
What are the most commonly searched types of Data Science Insurance jobs in Georgia? The most popular types of Data Science Insurance jobs in Georgia are:
What are popular job titles related to Intern Data Science Insurance jobs in Georgia? For Intern Data Science Insurance jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Intern Data Science Insurance jobs? Cities in Georgia with the most Intern Data Science Insurance job openings:
Data Science Intern

Data Science Intern

GAINSystems

Atlanta, GA • On-site

Internship

This job post has expired today. Applications are no longer accepted.


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.