Hybrid Senior Data Scientist – Intelligence

at Itaú Unibanco

• Job title: Senior Data Scientist – Intelligence
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Azure, Pandas, Python, PyTorch, Scikit-Learn, Tensorflow
• Location requirements: Hybrid, Sao Paulo, Brazil

About the role

• Data Scientist developing generative AI solutions for Itaú, the largest bank in Latin America. Collaborating on innovative IA projects aimed at customer impact.

Responsibilities

• Create, evolve, and implement generative AI agents and solutions based on LLMs (text-to-text, multimodal, and tool-using).
• Participate in the full AI product development cycle: design, modeling, experimentation, validation, and production deployment.
• Explore and apply advanced NLP techniques, deep learning, and multi-step reasoning across different business domains.
• Work with vector knowledge bases, LangChain/LangGraph, embeddings, and integrations with LLM APIs (OpenAI, Azure, and others).
• Develop and optimize data pipelines, feature stores, and evaluation frameworks for generative models.
• Support the team in creating best practices, templates, and internal frameworks to accelerate the development of new AI products.
• Collaborate with engineers, designers, and business specialists to turn real needs into intelligent, secure, and scalable solutions.
• Communicate results and learnings clearly, with an impact focus and aligned to the bank’s AI strategy.

Requirements

• Experience in Python, with strong command of data science and AI libraries (pandas, scikit-learn, PyTorch or TensorFlow).
• Knowledge of language models and NLP (transformers, embeddings, fine-tuning, prompt engineering).
• Experience with generative AI frameworks and APIs (Hugging Face, OpenAI API, LangChain, etc.).
• Ability to translate complex problems into applicable data and AI solutions.
• Collaborative mindset and a curiosity for continuous learning.
• Familiarity with vector architectures (FAISS, Milvus, ChromaDB) and retrieval-augmented generation (RAG).
• Knowledge of MLOps and best practices for model versioning and observability.
• Interest in topics such as agent evaluation, AI safety, interpretability of LLMs, and multi-agent systems.

Benefits

• Transportation allowance
• Meal voucher (restaurants) / Food voucher (supermarkets)
• Health insurance (Fundação Saúde Itaú or Central Nacional Unimed)
• Dental plan (Odontoprev or Interodonto)
• Life insurance
• Profit Sharing (PLR) – Participation in profits and results (subject to bank performance)
• Private pension plan
• Exclusive discounts on our financial products
• Extended maternity and paternity leave
• Childcare/Babysitting assistance (for parents)
• Tuition/education assistance
• Wellhub or TotalPass (wellness benefits)
• Access to Itaú leisure clubs (Guarapiranga / Itanhaém and São Sebastião)
• + Additional benefits you may learn about during the process 😊