Early Careers: Analyst, Gen AI - Data Science Atlanta, GA

AIG is reimagining the way we help customers manage risk. Join us as an Analyst in the Generative AI, Data Science department to play your part in that transformation with opportunities to learn and grow your skills and experience as a valued member of the team.

About Us At AIG, helping organizations and people discover new potential is our purpose. As a global risk leader, we do this for our clients every day. Through our deep expertise in their industries and our innovative solutions that help them smartly manage risk, we enable their growth in ways they never thought possible. But we also do the same thing for our colleagues, because we know our people are our greatest strength – the source of every insight, every idea and every innovation.

When we're working as one team to do what's right for our colleagues and our communities, we can achieve excellence together. We encourage colleagues to give back to the causes they care most about, supporting these efforts through our Volunteer Time Off and Matching Grants Programs.

Make your mark in Generative AI As a Data Scientist Analyst at AIG, you will develop and deliver innovative AI solutions, helping AIG to become a leader in applying AI & Generative AI to solve complex business challenges. This is an exciting opportunity to shape a newly formed team with the resources and support to explore fresh, creative approaches. With your expertise, we’ll transform how data drives innovation, creating smarter, more efficient, and personalized solutions that set new standards for the industry.

How you will make an impact When you join AIG, you will be part of a connected cohort community of early career talent participating in a program that equips you with learning experiences and skills needed to launch your career. From day one, you will develop your knowledge and understanding of AIG and the insurance industry and learn new skills through meaningful on-the-job experiences and instructor‑led masterclasses.

Through exposure to senior leaders, mentoring circles, networking and volunteering, you will build connections with colleagues across the organization. Collectively, these different experiences are designed to enable you to make an impact and build a rewarding and successful career.

• 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.

Master’s degree to be received no later than June 2027 (unofficial transcript required upon application) in a STEM major primarily Data Science, Computer Science, or Math.

Available to start the Program on July 26, 2027.

Analyst positions are in‑person opportunities, requiring employees to work in the office at least four days per week.

• Strong written and verbal communication skills, with the ability to communicate effectively in a professional environment.
• Demonstrated analytical, problem‑solving, and organizational skills, with strong attention to detail.
• Ability to collaborate effectively, manage multiple priorities, and adapt in a fast‑paced, team‑oriented environment.

• Course work in Stem (Math, Physics, Statistics, Computer or Data Science)
• Pursing…