AI and Risk Data Science intern

This role is a Data Science / AI Intern or Junior Data Scientist role focused on Credit Risk and Generative AI. It combines traditional data science and machine learning with modern LLM and RAG technologies in the banking/financial risk domain.

The main focus areas are:

Credit Risk Analytics: Analyzing financial and customer data to identify credit risk drivers, patterns, and trends.

Data Science & Machine Learning: Preparing data, performing EDA, feature engineering, and building/evaluating statistical and ML models for credit risk assessment.

Python & SQL: Using Python and SQL extensively for data analysis, automation, modeling, and data preparation.

Generative AI & LLMs: Exploring how LLMs can be applied to financial and risk-related problems.

RAG Systems: Building RAG pipelines that allow AI assistants to search and retrieve information from internal documents, policies, procedures, and knowledge bases.

AI Assistants: Supporting AI tools for credit risk analysis, document search, and knowledge retrieval.

Model & AI Evaluation: Evaluating ML models and LLM/RAG systems based on performance, relevance, factuality, and reliability.

Business Collaboration: Working with Risk, Data Science, AI, and Business teams to turn business requirements into analytical and AI solutions.