Data Scientist III

Indeed

Company

Job typeFull-time
Workplace typeOnsite
Experience levelNo experience limit
Education levelNo degree limit

Description

Job Summary: Bradesco is seeking a Data Scientist III for the Legal Department, responsible for developing and implementing data science and AI solutions, applying advanced modeling and machine learning techniques. Key Highlights: 1. Develop scalable data science and AI solutions 2. Apply advanced statistical modeling and machine learning techniques 3. Conduct exploratory analyses to support decision-making **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 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 Legal Department team? The department’s mission is to act as the liaison between the bank’s strategic level and the legal area, responsible for defining and directing the global strategy, plans, and goals that enable the Legal Department to fully fulfill its role. Work model: Hybrid – 3 days onsite Unit: Osasco/SP **What will your day-to-day look like?** As a Data Scientist III, you will work within the **Data Strategy Management** unit, and your main responsibilities will include: * Developing and implementing data science and AI solutions, building scalable pipelines and models—from data exploration through deployment into production environments (AWS, Azure, GCP); * Applying advanced statistical modeling and machine learning techniques (including deep learning, such as CNNs and RNNs), ensuring robustness, quality, and alignment with business needs; * Conducting exploratory and strategic analyses using internal and external data to identify patterns, trends, and opportunities supporting decision-making; * Developing, implementing, and maintaining predictive models and intelligent automation solutions (including RPA), focusing on operational efficiency, risk reduction, and improved customer experience; * Monitoring model performance and stability in production, proposing continuous improvements and necessary adjustments; * Ensuring technical documentation, governance, and traceability of developed solutions; * Collaborating cross-functionally with various areas to align analytical solutions with business requirements; * Ensuring data and analysis quality, reliability, and integrity, identifying risks and proposing continuous improvements. **Requirements and Qualifications** What do you need to have or know? * Bachelor’s degree completed in Computer Science, Computer Engineering, Information Systems, Statistics, or related fields; * Advanced knowledge of data science, analytics, or related areas; * Solid experience in developing and implementing machine learning and predictive analytics models; * Knowledge of statistical techniques and data analysis; * Experience with cloud environments (AWS, Azure, or GCP) and deploying models into production; * Experience with process automation and, preferably, RPA tools; * Knowledge of data pipelines and MLOps practices; * Strong communication skills to share results and insights with both technical and business stakeholders. It’s a plus if you have: * Experience with advanced deep learning models (CNNs, RNNs, etc.); * Experience in regulated environments or projects involving legal interfaces; * Experience in digital transformation initiatives and data-driven culture adoption. **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 * Food Allowance * Meal Voucher * 13th Food Basket * Total Pass * Commuter Benefit (optional enrollment) * Discounts on products and services from partner companies * Private Pension Plan (optional enrollment, with financial contribution from Bradesco Organization) * Viva Bem Bradesco: 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, with assistance throughout pregnancy and postpartum

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João Silva

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João Silva

Indeed · HR

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