Data Scientist (Customer Interactions) III

Lead the technical development of solutions using LLMs and AI agents. Design applications utilizing RAG, tool calling, APIs, and knowledge bases. Define evaluation, experimentation, and monitoring strategies for solutions. Integrate AI solutions with the bank's data, systems, and processes.

Solid experience with Python, SQL, and large-scale data. Practical experience with LLMs and Generative AI. Knowledge of RAG, embeddings, semantic search, and tool/function calling. Experience in building AI agents or workflows with LLMs.

The company offers a variable remuneration structure including PLR and PPRS, medical and dental assistance, food and meal allowances, complementary pension, life insurance, childcare assistance, and wellness programs.