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Tier-1 brand, mid-level data scientist role with popular title and metro hiring boosts competitive density.
Technical ML and LLM skills are transferable, but wealth-management domain experience increases fit sensitivity.
Explicit 4+ years, mandatory ML/Python and LLM experience raise screening strictness.
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Design and implement Data Intelligence use cases including end-to-end architecture and data pipelines.
Develop, evaluate, and refine AI models and analytical solutions, including AI agents and LLM-based applications.
Collaborate with technology, operations, and business stakeholders to deliver analytics solutions and support strategic priorities.
4+ years of experience in applied modeling and analytical problem solving with strong quantitative focus.
Proficiency in machine learning and Python programming.
Hands-on experience building and deploying AI agents and/or LLM-based applications.
Bachelor's degree in related quantitative discipline; advanced degree preferred.
Experienced in independently managing AI projects from concept to completion under some supervision.
Familiar with AI evaluation methods including benchmarking and quality metrics.
Capable of partnering effectively with technology teams and business strategists to drive analytics adoption.