Senior Data Scientist, GenAI

Senior Data Scientist, GenAI page is loaded## Senior Data Scientist, GenAIlocations:
GA-Atlanta time type:
Full time posted on:
Offre publiée aujourd'huijob requisition :
JR2506997
** Be part of something groundbreaking
** 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, and we need your help.

With the support and investment needed to explore new frontiers in generative AI, you’ll be working alongside talented colleagues, innovating and leading projects that will 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 will 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’re excited by the opportunity to create meaningful impact, we’d love to hear from you.
** Who we are
** 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’re reshaping how the world manages risk, and we’re inviting you to be a key part of that transformation. As our Data Scientist you will have the opportunity to make a meaningful impact, leveraging and further developing your skills to guide groundbreaking AI initiatives.

If you’re looking for a place to grow your career and where your contributions will shape the future, AIG is where you belong.
** How you will create impact:
** As a Data Scientist 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.
** Your responsibilities include:
*** 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.
** What is needed to be successful:
*** PHD candidate with 2+ year’s industry experience with master's degree
* You bring knowledge of applied data scientist in a product development environment.
* You have experience across the full ML lifecycle.
* You have built 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.
* Knowledge of Palantir platforms will be plus
* Ability to leverage key Python packages for data wrangling, machine learning and deep learning such as pandas, scikit-learn, Tensor Flow, torch, transformers, Lang Chain, etc.
* You have data engineering skills in Python and…