Job Summary: Design, develop, and implement machine learning models and configure product policy evaluation workflows to generate insights that support strategic decision-making. Key Responsibilities: 1. Machine Learning model design and development 2. Configuration of product policy evaluation workflows 3. Generation of insights for strategic decision-making **Objective:** Design, develop, and implement machine learning models by combining mathematical, statistical, and technological expertise to identify customer behavior patterns and segments, and generate insights that help business teams make informed decisions and create growth strategies. Design and configure product policy evaluation workflows through programming in a rule management system (Blaze) to assess offer viability and calculate associated terms. **Experience and Knowledge Required:** * Programming experience in languages such as: JavaScript, SQL, and/or Python * Knowledge of machine learning techniques and data mining * Skills in data visualization and results communication * Experience acting as an intermediary between business needs and IT *Desirable:* * Familiarity with cloud platforms’ analytical components, such as: GCP, AWS, and/or Azure * Experience in Banking and/or Microfinance * Experience with rule engines such as: Blaze Advisor **Years of Experience:** At least 7 years **Education:** Master’s Degree in Data Science **Work Modality:** Flexible arrangement, based in CDMX. **Benefits:** * Family Major Medical Expense Insurance * Life Insurance * Savings Fund * Savings Account * Grocery Vouchers * Vacation Bonus, Year-end Bonus, and Paid Vacation Days * Profit-Sharing Bonus * Performance Bonus * Among other additional benefits **\*Please submit your complete information in UPPERCASE when applying\***