Data Scientist II

Description

Job Summary: Bradesco is seeking a Data Scientist II to develop and enhance credit models, create and maintain features, and apply machine learning to credit-related problems using Python, PySpark, and Databricks. Key Highlights: 1. Applying modeling and machine learning techniques. 2. Processing and analyzing large volumes of data using Python and PySpark. 3. Developing analytical solutions in cloud environments (Databricks). **About Bradesco** Bradesco is one of Brazil's largest financial groups, with a history marked by pioneering spirit and innovation. Through our broad and diversified portfolio of financial products, banking services, and insurance, we contribute to fulfilling individuals' aspirations and supporting the sustainable growth of businesses and society. Join our financial ecosystem and impact the experience of millions of people! At Bradesco, we value diversity in all its forms. Therefore, our job openings are open to everyone, regardless of gender, race, sexual orientation, disability, age, or any other characteristic. Learn more at https://banco.bradesco/html/classic/sobre/index.shtm **Responsibilities and Duties** What is our Data Intelligence (ID) team? Our mission is to advance the frontiers of data and AI technologies to generate sustainable and ethical value for business units. Our teams are organized into three major pillars: analytics (focused on profit pools), platform & infrastructure, and governance & quality. Together with business units, we design and implement analytical intelligence solutions that drive revenue growth, improve operational efficiency, mitigate risks, and enhance customer experience. Work model: Hybrid – 1 day onsite Location: Curitiba – PR, Recipe – PE, or Osasco – SP **Your Day-to-Day Responsibilities** As a Data Scientist II, you will join the Modeling Management team, with the following key responsibilities: * Develop, test, and enhance retail individual (PF) and corporate (PJ) credit models. * Create, maintain, and evolve features and feature stores for analytical models. * Apply statistical modeling and machine learning techniques to credit-related problems. * Process and analyze large volumes of data using Python and PySpark. * Design and execute analytical solutions in cloud environments using Databricks. * Collaborate with the Credit Modeling team to support portfolio management and credit policy development. * Participate in team rituals (squads and tribes), contributing to technical alignment and knowledge sharing. **Requirements and Qualifications** What do you need to have or know? * Experience in modeling and machine learning techniques. * Knowledge of statistics and applied mathematics for data analysis. * Practical experience using Python for data analysis and modeling. * Experience with PySpark for large-scale data processing. * Familiarity with Databricks in data and analytics environments. * Experience working in cloud environments (Azure preferred, but other clouds are acceptable). * Prior professional or academic experience applying the tools mentioned above. It’s a plus if you have: * Experience in credit and/or collections for retail individual (PF) and corporate (PJ) segments. * Experience with other machine learning techniques beyond credit modeling. * Experience working in teams organized into tribes and squads, with agile rituals and cross-functional collaboration. **What We Offer** At Bradesco, we value health and well-being, offering an extensive portfolio of benefits to all our employees: * PLR or Bonus: Based on position eligibility* * Health Insurance * Dental Insurance * Life Insurance * Meal Voucher * Food Voucher * 13th Food Basket * Total Pass * Transportation Voucher (optional enrollment) * Discounts on products and services from partner companies * Private Pension Plan (optional enrollment, with financial contribution from Bradesco Organization) * Viva Bem Bradesco: A health, well-being, and quality-of-life program * Unibrad: Bradesco Corporate University * Fee Waivers: Special conditions across various products and services * Childcare or Babysitter Assistance * Extended Paternity Leave of 20 days * Maternity Leave of 180 days, including supportive care from pregnancy through postpartum