Are you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problems?

As a Data Scientist on the AI/ML for Ops Data Team , you'll leverage AI and ML to make data AI-ready. You’ll use your expertise with Large Language Models, predictive models, and generative AI solutions with the Consumer and Community Bank Operations Data Owner team.

Job Responsibilities:

• Use your programming skills in Python and design integrated solutions for AI-readiness of data. Leverage python libraries, LLMs, and vendor solutions to enable seamless integration of AIML models with business data needs.

• Design and demonstrate POCs for making structured and unstructured data AI-ready. Build and iterate on prototype solutions.

• Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions.

• Closely collaborate with Engineering and Data Science to productionalize your POCs.

• Analyze diverse data assets and sources to prioritize, developing insights that lead to actionable recommendations for sequencing.

Required qualifications, capabilities and skills:

• Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science).

• 3+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering, Retrieval Augmented Generation (RAG).

• Strong Proficiency in Python.

• Hands-on experience with LLM APIs, Python libraries like Pandas, Num Py, scikit-learn, and others for data manipulation, modeling and analysis.

• Proficiency with data table operations (SQL, etc.).

• Experience designing, building and maintaining ETL data pipelines using tools such as SQL, Python, and Alteryx.

• Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards.