Description: * Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related fields. * Experience analyzing large volumes of data to generate insights for business teams. * Experience with data analysis and programming tools such as SQL, Python, R, or machine learning libraries (TensorFlow, PyTorch, Scikit-Learn, etc.). * Ability to creatively and innovatively solve complex problems. * Knowledge of code versioning processes (Git, GitHub). * Ability to translate business teams' questions and needs into analytical requirements. * Develop models to optimize banking or acquiring processes. * Analyze large volumes of transactional data to identify patterns, trends, and opportunities for process improvement. * Implement customer segmentation and behavioral prediction algorithms to increase service efficiency and personalization. * Collaborate closely with engineering, product, and business teams to define and implement data solutions that meet customer and company needs. * Deliver complex insights clearly and effectively to non-technical stakeholders, supporting strategic decision-making. * Mentor and provide technical guidance to less senior members of the data science team. 251218020255717528