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

AIG • Atlanta, GA

1d • Onsite

About The Position

AIG is seeking an Analyst in the Generative AI, Data Science department to play a part in transforming how customers manage risk. This role offers opportunities to learn and grow skills and experience as a valued member of the team. At AIG, the purpose is to help organizations and people discover new potential. As a global risk leader, AIG achieves this for its clients through deep expertise in their industries and innovative solutions that help them manage risk and enable their growth. AIG also focuses on its colleagues, recognizing them as its greatest strength and the source of every insight, idea, and innovation. The company encourages colleagues to give back to causes they care about through Volunteer Time Off and Matching Grants Programs. This role is an exciting opportunity to shape a newly formed team with the resources and support to explore fresh, creative approaches in Generative AI, helping AIG become a leader in applying AI & Generative AI to solve complex business challenges. The position aims to transform how data drives innovation, creating smarter, more efficient, and personalized solutions that set new industry standards. Early career talent will participate in a program equipping them with learning experiences and skills needed to launch their careers, developing knowledge of AIG and the insurance industry, and learning new skills through on-the-job experiences and instructor-led masterclasses. Exposure to senior leaders, mentoring circles, networking, and volunteering will help build connections across the organization.

Requirements

• 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)
• 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.

Nice To Haves

• Pursing advanced degrees, Masters or PHD is a strong plus

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.

Benefits

• Volunteer Time Off and Matching Grants Programs
• Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security—as well as your professional development

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level