Full-Time Senior ML/AI Data Scientist

• Lead end-to-end development of credit risk models, including data sampling, feature engineering, model training, testing, and performance monitoring.
• Collaborate with internal consultants in developing custom client credit risk or fraud models.
• Support internal generic score and external client validations.
• Partner with technology teams to bring models to production.
• Architect and implement LLM-based agents with tool use, memory, and multi-step reasoning.
• Integrate agents with internal APIs, databases, and third-party services.
• Monitor, evaluate, and improve agent performance.

• 3+ years of experience in machine learning, NLP, or predictive modeling.
• Model development experience using Logistic Regression and ML methods such as Gradient Boosting.
• Proficiency in Python and experience with GenAI frameworks (e.g., LangChain, Haystack, etc).
• Hands-on experience building LLM agents using OpenAI functions.
• Familiarity with orchestration tools and cloud platforms.
• Experience with RAG pipelines, vector databases, and prompt engineering.
• Experience with commercial and consumer credit data.

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