Data Scientist Specialist

Description

Job Summary: Bradesco is seeking a Data Scientist Specialist to work in the Finance Analytics Management team, conducting financial performance studies and supporting strategic decisions. Key Highlights: 1. Impact the experience of millions of people within a financial ecosystem 2. Conduct financial performance studies to support strategic decisions 3. Apply Machine Learning and data technologies for financial analysis **About Bradesco** Bradesco is one of Brazil's largest financial groups, with a history marked by pioneering spirit and innovation. Through our broadly diversified portfolio of financial products, banking services, and insurance solutions, we contribute to individuals' aspirations and to the sustainable growth of businesses and society. Join our financial ecosystem and impact the lives of millions! 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 Controller Team? Our mission is to ensure that the Bradesco Group receives managerial information, results, analyses, and forecasts governed by robust governance frameworks, and to serve as a reference for financial analyses, studies, and forecasts—enhancing the quality and accuracy of organizational decision-making. Work model: Hybrid \- 3 days onsite Unit: Osasco/SP **What will your day-to-day look like?** As a Data Scientist Specialist, you will work within the Finance Analytics Management team, and your main responsibilities will include: * Conducting financial performance studies involving business units, products, channels, and customers, delivering diagnostic analyses and recommendations to support the Bank’s strategic decisions; * Analyzing profitability and results of products and customers across different profiles and segments, including scenario projections, variance investigations, and opportunity identification; * Applying descriptive and predictive statistical techniques to support financial performance analyses, ensuring scientific rigor in studies; * Utilizing supervised and unsupervised Machine Learning models to answer business questions in the financial context; * Analyzing and interpreting financial data combined with non-financial and qualitative data, identifying patterns and trends to support strategic decision-making; * Building dashboards to support financial analyses; * Leveraging data technologies such as SQL, Python, Spark, Databricks, and Power BI for data extraction, manipulation, consolidation, and visualization required for financial performance studies. **Requirements and Qualifications** What do you need to have or know? * Bachelor’s degree in Economics, Statistics, Data Science, Mathematics, Engineering, or Accounting; * MBA or postgraduate degree in Controllership, Finance, or Business Analytics & Big Data; * Knowledge of P\&L and profitability analysis for products, channels, and segments; * Knowledge of banking products and services, and of the financial market; * Experience in banks or fintechs within Finance/FP\&A areas; * Proficiency in handling large volumes of data using SQL, Python, and Spark; * Advanced knowledge of Power BI and DAX, or another Data Visualization tool. It would be a plus if you have: * Knowledge of supervised and unsupervised Machine Learning models applied in the financial context; * Experience in BI projects and/or relevant Data Analytics studies for business; * Experience with banking products.