Data Scientist for Conversational AI Systems

Shape the future of banking with your data science expertise. Focus on advanced conversational AI systems and training large language models in a hybrid work setup. In this crucial role, you will work on refining AI models that foster seamless customer interactions across channels. Your technical knowledge in data analysis with Python and SQL will be key in ensuring the quality and relevance of AI responses. Engage in innovative projects that address user needs in the financial sector. Key Responsibilities: • Gather and preprocess data for AI model training • Implement advanced NLU and NLG techniques • Analyze performance of LLM systems for optimization • Ensure adherence to strict data privacy standards • Collaborate on AI model operationalization for banking Requirements: • 5-8 years of Python experience for analysis • 5-8 years working with SQL • 2-5 years in data preparation and ETL processes • Understanding of data privacy practices • Familiarity with large language models preferred Utilize your skills to enhance customer engagement and leverage AI's potential in the banking industry.