Job Description:
A leading FinTech company in consumer credit is seeking a Senior Data Scientist to lead high-impact initiatives at the intersection of credit risk modeling and generative AI.
In this role, you’ll work on cutting-edge machine learning solutions using both structured and unstructured data.
You’ll also play a key role in integrating Large Language Models (LLMs) into production systems — delivering insights, optimizing risk models, and driving product innovation.
Responsibilities:
Design, build, and deploy predictive models for credit and risk analysis Apply and adapt LLMs to extract insights from text and enhance decision-making Own model monitoring, explainability, and performance tracking Collaborate across teams to bring ML models into scalable production pipelines Analyze pilot programs using back-testing and real-world data Present findings and recommendations to both technical and business stakeholders Stay ahead of the curve on GenAI, NLP, and advanced ML developments Requirements:
Master’s or PhD in a STEM or quantitative field 3–5 years of experience in data science, with focus on ML/AI in credit or risk domains Proficiency in Python and modern ML frameworks (e.g., PyTorch) Hands-on experience with model development, deployment, and monitoring Strong communication skills and ability to influence across disciplines Experience with AWS or other cloud platforms (preferred) Deep expertise in GenAI, LLMs, NLP, or explainable AI (preferred)