2027 Early Careers: Analyst, Gen AI - Data Science – United States, Atlanta, GA

What you'd do

• 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.

What they want

• 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.Program Requirements
• 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.Core Qualifications
• 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 advanced degrees, Masters or PHD is a strong plus
• You bring knowledge of applied data science in a product development environment.
• You have experience across the full ML lifecycle.

About AIG

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.