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AIG Hiring 2027 Early Careers Analyst, Gen AI - Data Science

AIGAtlanta, GA

  • 0–1 years
  • Entry level
  • Experienced
  • Full time

Overview

About Us

At AIG, our purpose is to help organizations and people discover new potential. As a global risk leader, we do this every day for our clients, using deep industry expertise and innovative solutions to help them manage risk smartly and enable growth in ways they never thought possible.

We do the same for our colleagues, because we know our people are our greatest strength, the source of every insight, idea, and innovation. When we work as one team to do what's right for our colleagues and communities, we can achieve excellence together. We encourage giving back through 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 become a leader in applying AI and Generative AI to solve complex business challenges. This is a chance to shape a newly formed team with 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 industry standards.

How You Will Make an Impact

Joining AIG means becoming part of a connected cohort community of early career talent. The program equips you with learning experiences and skills to launch your career. From day one, you'll develop your knowledge of AIG and the insurance industry, gaining new skills through meaningful on-the-job experiences and instructor-led masterclasses. Through exposure to senior leaders, mentoring circles, networking, and volunteering, you'll build connections across the organization. These experiences are designed to help you make an impact and build a rewarding career.

Responsibilities

  • Support the development and implementation of data science and generative AI models that deliver real-world impact, with hands-on involvement in data engineering.
  • Collaborate with teams across the business, including product managers, business leaders, and engineers, to create data-driven solutions that make a difference.
  • Develop end-to-end data science and AI/ML projects, from conceptualization to operational rollout, ensuring alignment with ethical and regulatory standards.
  • Foster a collaborative and innovative environment where knowledge-sharing and creativity thrive among the data science community.
  • Utilize Retrieval-Augmented Generation (RAG), Prompt Engineering, and few-shot techniques to enhance LLM performance on specific tasks.
  • Drive continuous improvement of AI capabilities by staying at the forefront of emerging technologies and identifying how they can enhance operations.
  • Contribute to the day-to-day direction of multiple components of Data Science activities.

Minimum Qualifications

Our Early Careers programs are designed for students and recent graduates who are beginning their professional careers, generally within one year of completing their degree.

Education 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.

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.

What You'll Need to Succeed

  • Coursework in STEM (Math, Physics, Statistics, Computer or Data Science).
  • Pursuing advanced degrees, Masters or PhD, is a strong plus.
  • Knowledge of applied data science in a product development environment.
  • Experience across the full ML lifecycle.
  • Built or studied frameworks to measure LLM efficacy, ground truth dataset quality, and guide product development roadmap.
  • Experience or strong willingness to learn data science techniques such as Gen AI, deep learning, machine learning, statistical modelling, NLP, NLU.
  • 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.
  • 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.

Applications will be accepted through October 31, 2026, at 11:59 p.m. ET. Applications are reviewed on a rolling basis, and we encourage candidates to apply early. We reserve the right to close this posting prior to the application deadline based on application volume.

At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.

Enjoy Benefits That Take Care of What Matters

At AIG, our people are our greatest asset. We know how important it is to protect and invest in what's most important to you. That is why we created our 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, to bring peace of mind to you and your family.

Reimagining Insurance to Make a Bigger Difference to the World

American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world's most far-reaching property casualty networks. It is an exciting time to join us. Across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty, and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.

Welcome to a Culture of Inclusion

We're committed to creating a culture that truly respects and celebrates each other's talents, backgrounds, cultures, opinions, and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities, and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG's greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.

AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability, or any other legally protected categories.

AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to [email protected].

Skills mentioned

  • Python
  • PySpark
  • Machine Learning
  • Generative AI
  • Deep Learning
  • NLP
  • Snowflake
  • AWS Sagemaker

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