Generative AI Data Scientist — Wealth Analytics
Citi (company site, opens in a new tab)1–3 yrsGurugram, BengaluruHybridDirect career pageEst. 12–22 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, train, and deploy Generative AI and LLM-based models powering a live client engagement platform for Citi's Wealth business, using Python, PySpark, and SQL.
- Own analytics measuring platform performance and user adoption, translating insights into actionable product improvements.
- Collaborate with product managers, engineers, and business stakeholders to move solutions from prototype to production, ensuring compliance and governance standards.
Minimum Requirements
- 1–3 years of hands-on experience in AI, machine learning, or data science roles, including generative AI applications.
- Proficiency in Python and SQL; experience with LLM frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, or LlamaIndex.
- Bachelor’s degree in computer science, data science, statistics, mathematics, engineering, economics, or related quantitative field.
- Work Experience Required: 1–3 years in relevant AI/ML/data science roles.
Ideal Candidate Profile
- Experienced with full model lifecycle management from data extraction through production deployment and governance, especially in generative AI/LLM contexts.
- Skilled in analyzing both structured and unstructured data to inform product decisions and strategic priorities within financial services, particularly wealth management.
- Comfortable working in a cross-functional environment integrating AI models into live platforms with strong collaboration between data science, engineering, and product teams.