Mexico's leading brewer scaling ML and analytics infrastructure
Grupo Modelo operates Mexico's largest beer production and distribution network, serving a 10,000+ person organization across brewing, sales, and supply chain. The tech stack reveals a data-analytics-first posture: Power BI, SQL, Python, and Azure infrastructure form the backbone, with heavy investment in ML tooling (scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, PySpark). Finance and data teams dominate the current hiring mix (13 of 19 open roles), and active projects center on ML model integration, budget forecasting dashboards, and consumer insight methodologies—signaling a push to automate cost controls and replace traditional market research with AI-driven consumer understanding.
Grupo Modelo is the market-leading brewer in Mexico, with operations spanning production, distribution, and direct sales. Since a 2013 corporate combination, the company manages a portfolio exceeding 200 brands, including three global franchises. The organization operates at scale with 10,000+ employees across Mexico and Canada. Current operational focus areas include variable cost monitoring and budget control across distributed manufacturing and logistics networks, alongside modernization of consumer research methodologies to blend traditional approaches with AI-driven insights.
Primary: Power BI, SQL, Excel, Python, Pandas, scikit-learn, XGBoost, LightGBM. Infrastructure: Azure (AD, Key Vault, Defender for Cloud, Monitor), Terraform, Bicep. Big data: PySpark, Apache Spark, Hadoop, AWS. Enterprise: SAP, Microsoft Office, Git.
ML model training and integration for classification, clustering, and forecasting; analytical product development; budget variance and KPI reporting dashboards; consumer insight acceleration combining traditional research with AI methodologies; and budget forecast performance management.
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