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Senior Data Scientist, BEES Fintech

AB InBev

Recently Verified
Data ScienceFintechSenior (6-10 yrs)RemoteFintech Startup

Best for data scientists with credit risk or lending experience wanting to work on fintech products in a global setting.

AI → Finance

Location

Remote

Posted

Feb 11, 2026

Insider Signals

Beta
Open 48+ days

This role has been open for 48 days. It may be hard to fill or have selective hiring criteria.

Growing AI Team

AB InBev is in the growing stage of its AI organization. Great time to join.

📊Active Hiring

AB InBev has had 6 hiring events in the last 30 days — they're actively building.

Company AI Context

AI Maturity

growing

Tech Stack

pythonpysparksparksqlaws

Recent News

AB InBev's BEES platform reached $1B+ in fintech transaction volume in 2024, expanding embedded credit and financial services for B2B retailers across Latin America.

Build credit risk and underwriting ML models at AB InBev's BEES Fintech division — fully remote role powering financial products for global B2B commerce.

## About the Role AB InBev's BEES Fintech division builds data-driven financial products for the world's largest brewer's B2B commerce platform. As a Senior Data Scientist, you will develop solutions for credit risk, underwriting, portfolio optimization, and decisioning systems powering BEES' fintech products. ## Responsibilities - Develop data-driven solutions for credit risk and underwriting - Build ML models for portfolio optimization and credit decisioning - Design and implement production ML pipelines using Spark/PySpark - Analyze large-scale financial datasets to identify patterns and risks - Collaborate with product teams on fintech product development ## Requirements - 5+ years of data science experience - Strong proficiency in Python and Spark/PySpark - Experience with credit risk modeling or financial analytics - Production ML deployment experience - Knowledge of underwriting, portfolio management, or lending - MS or PhD in a quantitative field preferred

Skills & Technologies

PythonPySparkCredit RiskUnderwritingML ModelsPortfolio OptimizationSQL

Best Backgrounds

  • data science
  • credit risk modeling
  • financial analytics
  • lending operations

Related Titles to Explore

  • Credit Risk Data Scientist
  • Underwriting ML Engineer
  • Portfolio Analytics Scientist
  • Fintech Data Scientist

Career Bridge Playbook

Beta

Career paths into this role

Senior Data Scientist
Credit Risk Analyst
ML Engineer with finance background
Fintech Data Scientist

Where this role leads

Lead Data Scientist
Head of Data Science
Senior ML Engineer

Transition Difficulty

medium

Key Skill Gaps to Close

  • credit risk modeling
  • PySpark at scale
  • B2B lending domain
  • production ML deployment

Skills used in this role

Technical

pythonpysparksqlmachine-learningcredit-risk-modelingml-pipelinesdata-engineering

Domain

credit-riskunderwritingportfolio-optimizationb2b-lendingfintech-analytics

Soft Skills

cross-functional-collaborationdata-driven-decision-making

Interested in this role?

Apply directly on the company's career page.

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