**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 offerings, we contribute to individuals’ aspirations and to 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 all individuals, 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 main pillars: analytics (focused on profit pools), platform & infrastructure, and governance & quality. Together with business units, we develop 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: Osasco/SP **What will your day-to-day look like?** As a Data Scientist II, you will work within the Analytics Management team, and your key responsibilities will include: * Developing machine learning studies/models for the Individual Products area; * Leading model development, from generating and interpreting management reports to data processing and conducting studies aimed at boosting the Individual Products Directorate’s business performance; * Developing and testing models for textual analysis, including—but not limited to—generative AI models; * Exploring new information available across database ecosystems, leveraging programming and database management expertise; * Supporting the creation of executive presentation materials in PowerPoint to showcase study results and developed strategies. **Requirements and Qualifications** What do you need to have or know? * Completed undergraduate degree; * Experience in data analysis and/or building/validating models using machine learning, optimization, or other mathematical/statistical techniques, having gone through all stages—from conception through deployment, monitoring, and retraining; * Intermediate knowledge of Big Data tools (e.g., Spark, Hive, HBase); * Knowledge of Machine Learning (training/validation/testing pipeline, supervised and unsupervised algorithms, evaluation metrics) or optimization; * Proficiency in SQL, Python, and PySpark; * Knowledge of descriptive statistics, data visualization, probability, sampling techniques, and inferential statistics. It would be a plus if you have: * Experience with generative AI; * Advanced English proficiency for reading and writing; * Postgraduate degree, MBA, or certifications in related fields.