2026 Early Career – Gen AI – Data Science Analyst – United States, Atlanta (GA) jobs in United States
cer-icon
Apply on Employer Site
company-logo

AIG · 1 day ago

2026 Early Career – Gen AI – Data Science Analyst – United States, Atlanta (GA)

AIG is a leading global insurance organization that is forming an innovative Generative AI team to explore the application of artificial intelligence in insurance. As a Data Science Analyst, you will develop and implement AI solutions, collaborate with various teams, and contribute to the advancement of AI capabilities within the organization.

BankingFinancial ServicesInsurance
check
H1B Sponsor Likelynote

Responsibilities

Supporting the development, and implementation of data science and generative AI models that deliver real-world impact, through getting hands-on in data engineering
Collaborating with teams across the business—product managers, business leaders, engineers, and others—to create data-driven solutions that make a difference
Developing end-to-end data science & AI/ML projects, from conceptualization to operational rollout, while ensuring that all solutions align with ethical and regulatory standards
Fostering a collaborative and innovative environment where knowledge-sharing and creativity thrive among the data science community
Utilize Retrieval-Augmented Generation (RAG) and Prompt Engineering and few-shot techniques to enhance LLM's performance on specific tasks
Driving continuous improvement of AI capabilities by staying at the forefront of emerging technologies and identifying how they can enhance our operations
Contributing to day-to-day direction of multiple components of Data Science activities

Qualification

Data ScienceGenerative AIMachine LearningPythonData EngineeringDeep LearningNLPAWS SageMakerStatistical ModellingCollaborationCreativityCommunication

Required

Course work in Stem (Math, Physics, Statistics, Computer or Data Science)
You bring knowledge of applied data science in a product development environment
You have experience across the full ML lifecycle
You have built or studied frameworks to measure LLMs efficacy, ground truth dataset quality, and guide product development roadmap
You have experience or a strong willingness to learn data science techniques such as Gen AI, deep learning, machine learning, statistical modelling, NLP, NLU
You have experience developing AI/ML models, with hands-on desire to use platforms like Palantir Foundry, Snowflake, and AWS SageMaker
Ability to leverage key Python packages for data wrangling, machine learning and deep learning such as pandas, scikit-learn, TensorFlow, torch, transformers, LangChain, etc
You have data engineering skills in Python and PySpark
Experience and knowledge of using Generative AI models, with a good understanding of deep learning model classes such as GPT, VAE, and GANs, as well as their hyperparameters
Candidate for Master's degree to be received no later than June 2026 (unofficial transcript required upon application) in a STEM major primarily Data Science, Computer Science, or Math

Preferred

Pursing advanced degrees, Masters or PHD is a strong plus

Benefits

Annual paid day off to focus on mental wellbeing
A variety of leaves for personal, health, family and military needs
Up to 16 hours a year to volunteer in your community
Tuition reimbursement program

Company

AIG is a global insurance company providing insurance products to support clients in business and in life.

H1B Sponsorship

AIG has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
2023 (4)
2022 (23)
2021 (5)
2020 (13)

Funding

Current Stage
Late Stage

Leadership Team

leader-logo
Kelly Lafnitzegger
Executive Vice President and Chief Human Resources Officer
linkedin
leader-logo
Charlie Fry
EVP, Reinsurance Purchasing and Risk Capital Optimization
Company data provided by crunchbase