
location_onGeorgia State University, 33, Gilmer Street Southeast, Five Points, Old Fourth Ward, Atlanta, Fulton County, Georgia, 30303, United States
At AIG, we are making long-term investments in a brand-new, innovative Generative AI team designed to explore new possibilities for how artificial intelligence can be applied in insurance and beyond. With the support and investment needed to explore new frontiers, you will work alongside talented colleagues to innovate and lead projects that transform how we manage risk and serve our customers.
This team is central to our vision of the future and the core of our business offering. We incorporate best-in-class engineering and product management principles, and your guidance and collaboration will be critical to its success. To rapidly advance and innovate, we need your skills and expertise to build and scale world-class products. If you are excited by the opportunity to create meaningful impact, we would love to hear from you.
AIG is a leading global insurance organization providing a wide range of property casualty insurance and other financial services. We provide world-class products and expertise to businesses and individuals in approximately 190 countries and jurisdictions. At AIG, we are reshaping how the world manages risk, and we are inviting you to be a key part of that transformation.
As a Manager of Data Science at AIG, you will play a critical role in building and overseeing a team of data scientists tasked with delivering impactful, enterprise-level generative AI solutions. We are an applied data science team operating in an agile, production-oriented environment, and we are seeking someone with extensive hands-on experience. Candidates with only managerial or architecture backgrounds should not apply.
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.
We are 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.
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.
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 candidatecare@aig.com. Veterans are encouraged to apply.
Work model: On-site
Georgia State University, 33, Gilmer Street Southeast, Five Points, Old Fourth Ward, Atlanta, Fulton County, Georgia, 30303, United States
Atlanta, Georgia
Experience on the Palantir platform or demonstrated certification. Strong understanding of Ontology, specifically mapping complex real-world data entities and relationships into a digital twin framework. Strong understanding of performance optimization in big data environments with hands-on experience using distributed data processing frameworks such as Apache Spark or PySpark. Experience implementing advanced agentic architectures, such as autonomous agents capable of multi-step reasoning and decision-making or integrating agentic solutions with large-scale enterprise systems.
Experience
7+ yrs (Senior)
Education
Ph.D. in Data Science, Computer Science, or related field required
Job Type
Full-Time
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