Generative AI Data Science Analyst – Early Career

American International Group; Atlanta (GA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Total Rewards Program

Professional development

Inclusive culture

Job summary

American International Group (AIG) is seeking an Analyst in the Generative AI, Data Science department to help build innovative AI solutions and advance our use of generative AI to solve complex business challenges. This in-person program offers learning experiences and mentorship.

As part of a newly formed team, you will collaborate with product managers, engineers and business leaders, contribute to end-to-end data science projects, and apply ethical standards and regulatory considerations

Qualifications

• Master’s degree in a STEM field (Data Science, CS, Math) by June 2027.
• Hands-on experience with ML lifecycle and data engineering.
• Experience with Gen AI/LLMs and responsible AI practices.
• Familiarity with platforms like Palantir Foundry, Snowflake, AWS SageMaker.
• Proficiency with Python data stacks (pandas, scikit-learn, TensorFlow, PyTorch).

Responsibilities

• Support development and implementation of data science and generative AI models with hands-on data engineering.
• Collaborate with product managers, business leaders, engineers to create data-driven solutions.
• Develop end-to-end data science/AI/ML projects from concept to deployment, aligning with ethics and regulations.
• Foster a collaborative and innovative data science community.

Skills

Communication skills

Analytical skills

Collaboration

Multitasking

Adaptability

Education

Master's degree in Data Science/CS/Math

Tools

Palantir Foundry

Snowflake

AWS SageMaker

Python libraries (pandas, scikit-learn, TensorFlow, PyTorch, transformers, LangChain)

PySpark

Job description

American International Group (AIG) is seeking an Analyst in the Generative AI, Data Science department to help build innovative AI solutions and advance our use of generative AI to solve complex business challenges. This in-person program offers learning experiences and mentorship.

As part of a newly formed team, you will collaborate with product managers, engineers and business leaders, contribute to end-to-end data science projects, and apply ethical standards and regulatory considerations