AI Tax Transformation Analyst

Participate in the design and implementation of data architectures focused on tax processes, ensuring proper integration, traceability, and quality of information between systems. Apply natural language processing (NLP) solutions for automatic analysis of tax regulations, extraction of information from tax documents, and report generation. Collaborate with Tax and Finance teams to identify AI use cases, develop data pipelines, and train specific models for tax needs.

Academic background in Data Engineering, Systems, Computer Science, Data Science, or related fields. Knowledge in data architecture and modeling, including relational and dimensional schema design, ETL/ELT pipeline construction, and data quality management. Familiarity with artificial intelligence and agent development, with an interest in its application to tax or financial processes. Proficiency in Python, AI frameworks, and LLM APIs.