Senior Data Scientist – Fintech

🕒 February 11

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AB InBev

WebsiteLinkedInAll Job Openings

10,000+ employees

👥 B2C

🛍️ eCommerce

B2C • eCommerce • Food & Beverage

AB InBev is a global brewing company known for its extensive portfolio of over 500 beer brands, including iconic global and local names. Committed to sustainability and responsible drinking, the company has a heritage spanning more than 600 years. AB InBev continually seeks innovation in brewing and serves to celebrate beer as a beverage of moderation.

📋 Description

• Be part of a high-impact fintech data science team building ABIs credit models, credit decisioning systems, and ML-powered infrastructure that drive billions of dollars in credit transactions annually for millions of users worldwide. • Design, develop, and deploy statistical and machine learning models across the full lifecycle — from research and experimentation to production — with a focus on credit risk, underwriting, portfolio optimization, and experimentation. • Write a substantial amount of production-grade code while conducting deep analytical and statistical research, translating theory into practical improvements in live credit systems. • Lead and contribute to experimentation and model evaluation (offline analysis, simulations, and online tests), ensuring models are robust, explainable, and aligned with regulatory, risk, and business constraints. • Work with industry-leading technologies and modern ML platforms, building scalable modeling and data workflows that operate reliably at global scale. • Collaborate closely with exceptional engineers, product managers, analysts, and business stakeholders. • Continuously explore and adopt state-of-the-art methods in statistics, machine learning, and optimization, raising the technical bar and shaping best practices across the fintech data science organization.

🎯 Requirements

• Strong foundation in mathematics and statistics. • Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field; Master’s preferred; PhD a plus. • Experience or strong familiarity with experimentation frameworks, model validation, and rigorous evaluation, ideally in high-stakes decision systems. • Proven ability to apply machine learning and statistical models in production, balancing accuracy, stability, explainability, and real-world constraints. • Proficiency in Python for analysis, modeling, and production workflows; experience with distributed data processing (e.g., Spark / PySpark) is a plus. • Experience with modern ML development practices, including version control, CI/CD, and reproducible research and modeling workflows. • Strong proficiency using AI coding agents and developer tools in a controlled, thoughtful, and production-oriented way to accelerate development without compromising quality. • Creative, curious, and independent thinker who challenges assumptions, proposes novel approaches, and reasons deeply about complex systems. • Excellent communication skills, able to clearly explain complex models and results to both technical and non-technical audiences.

🏖️ Benefits

• Performance based bonus* • Attendance Bonus* • Private pension plan • Meal Allowance • Casual office and dress code • Days off* • Health, dental, and life insurance • Medicines discounts • WellHub partnership • Childcare subsidies • Discounts on Ambev products* • Clube Ben partnership • Scholarship* • School materials assurance • Language and training platforms • Transport allowance