AIG is making long-term investments in a brand-new, innovative Generative AI team to explore new possibilities for how artificial intelligence can be applied in insurance and beyond, and needs skilled individuals to help build and scale world-class products that will transform how they manage risk and serve customers.
Requirements
- 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.
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.
- 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.
- 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.
- Collaborating with teams across the business—product managers, business leaders, engineers, and others—to create data-driven solutions that make a difference.
- Fostering a collaborative and innovative environment where knowledge-sharing and creativity thrive among the data science community.
Other
- Candidate for Master's degree to be received no later than June 2026 in a STEM major primarily Data Science, Computer Science, or Math.
- The Early Career Analyst program will start on July 27, 2026.
- Early Career Analyst positions are in-person opportunities and are available in Atlanta, GA.
- Veterans are encouraged to apply.
- An online application, including a resume, is required.
