Join Banco Bradesco S/A as a Data Scientist II and apply advanced machine learning techniques to analyze financial data, driving strategic decisions and innovation in banking services. Collaborate with multidisciplinary teams to build predictive models that enhance customer experiences and operational efficiency.

As a Data Scientist II at Banco Bradesco S/A, you will play a pivotal role in transforming raw data into actionable insights that support our mission to deliver superior financial services. You will develop and deploy machine learning models to predict customer behaviors, optimize risk assessment, and improve fraud detection systems.

Your responsibilities will include extracting and preprocessing large datasets from various sources, conducting exploratory data analysis, and building scalable predictive models using advanced techniques like neural networks and ensemble methods. You will work closely with data engineers, analysts, and business leaders to ensure models align with strategic goals and comply with banking regulations.

In this position, you will contribute to innovative projects such as personalized financial recommendations and real-time analytics for market trends. The role demands a blend of technical expertise and business acumen to influence decision-making at the executive level.

Banco Bradesco S/A values diversity and inclusion, offering a supportive environment where your contributions can make a tangible impact on millions of customers across Brazil.

• Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or a related field
• At least 4-6 years of experience in data science roles, preferably in the finance sector
• Proficiency in Python or R for data analysis and modeling
• Strong knowledge of machine learning algorithms, statistical methods, and data visualization tools like Tableau or Power BI
• Experience with big data technologies such as Hadoop, Spark, or SQL databases
• Excellent problem-solving skills and ability to work with large datasets
• Strong communication skills to present findings to non-technical stakeholders
• Familiarity with financial data and regulatory compliance in banking

• Competitive monthly salary with performance bonuses
• Comprehensive health insurance and dental coverage
• Retirement savings plan with company matching
• Flexible remote work options and professional development opportunities
• Paid time off, including vacation and parental leave
• Access to cutting-edge tools and ongoing training in data science
• Collaborative work environment with opportunities for career advancement
• Employee wellness programs and gym memberships