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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # 2027 Early Careers: Analyst, Gen AI - Data Science - United States, Atlanta, GA - **Company:** American International Group, Inc. - **Location:** Atlanta, GA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Information Engineering, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Data Processing, Large Language Models, Snowflake, Prompt Engineering, Deep Learning, Generative AI, Pandas, Pyspark, Scikit Learn, Information Technology, Data Analytics, Machine Learning Operations, GPT, Natural Language Understanding - **Published:** September 3, 2026 - **Apply:** https://aig.wd1.myworkdayjobs.com/aig/job/GA-Atlanta/XMLNAME-2027-Early-Careers--Analyst--Gen-AI---Data-Science---United-States--Atlanta--GA_JR2603656-1 ## About the Role * 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., * 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 * 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. * 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. ## Description 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. 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. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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