Data Scientist using Machine Learning and GenAI techniques for Itaú Unibanco. Involves solving complex business problems in high-impact consortium cases.
Responsibilities
The Applied Analytics Directorate at Itaú Unibanco is seeking an experienced data scientist to work with Machine Learning and Generative AI techniques to understand and solve complex business problems in high-impact consortium cases.
Development of Machine Learning models
Generative AI agents
Optimization solutions
Monitoring model performance and results
Analyses to support decision-making
Deployment of machine learning models
Requirements
Degree in Statistics, Computer Science, Mathematics, Physics, Engineering, or related fields.
Master's or PhD will be considered a plus.
Knowledge or experience in statistical modeling and Machine Learning techniques, including handling large volumes of structured and unstructured data.
Experience with Python, SQL, Spark, and tools for data processing and analysis.
Familiarity with new technologies such as Deep Learning and Generative AI, with an interest in exploring innovative solutions.
Motivation to work in a multidisciplinary team, developing solutions applied to different stages of the customer lifecycle.
Knowledge of classification models applied to credit granting.
Experience with Generative AI tools and frameworks such as LangChain and LangGraph.
Experience or interest in fine-tuning language models and building multi-agent solutions for conversational tools.
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