The Data Scientist for COO Business Banking analyzes complex datasets of available data and knowledge database to uncover insights, patterns, and information that support the training and development and chatbot and voice bot products for BB Germany. The role requires expertise in data modeling, RAG, and analytical toolsets. The Data Scientist must be adept at preparing and transforming the available data, enhancing the off-the-shelf models with it, and transforming the data into actionable bot recommendations and actions. Key Responsibilities: Analyzing the available knowledge databases and COO BB process data for chat/voicebot training Model selection given a set of off-the-shelf Gemini models Enhancement of off-the-shelf Gemini models with the existing data Defining requirements for data transformation and sampling given model requirements Tweaking chat/voicebot agent configuration given the Agent testing and validation Technical Competence / Required Tools: Experience with public-cloud based AI SaaS platforms, preferable GCP Vertex Experience with configuring public-cloud conversational agents, preferably GCP Dialogflow 1,5 years of experience with Python 1 experience with Jupiter notebook Experience with NumPy, TensorFlow, Keras is not required, but is a plus Experience with Qualtrics is not required, but is a plus Experience with Java programming language is also a plus Preferred Experience: As already mentioned, experience with training conversational agents with SaaS public cloud tools like Vertex, Sagermaker or AzureAI is a major advantage and candidates that can demonstrate experience in such initiatives will be preferred. SThree_Germany is acting as an Employment Business in relation to this vacancy.