Regional insurance group scaling data pipelines and AI-driven pricing
HDI Seguros Colombia operates a 1,000+ person insurance business across 15+ Colombian cities, built on AWS/Azure infrastructure with Python, SQL, and Redshift for data warehousing. Active projects in predictive modeling, generative AI, and pricing automation reveal a shift toward algorithmic underwriting and margin optimization—but data quality, pipeline scaling, and responsible AI adoption remain documented pain points. The hiring mix skews senior (6 of 9 open roles), concentrated in engineering and finance, suggesting leadership-level investment in data infrastructure rather than headcount scaling.
HDI Seguros Colombia is a regional subsidiary of Talanx, a major European insurance group with 120+ years of history and presence in 150+ countries. The company entered Colombia in 2017 via acquisition and now operates a multi-product insurance business covering auto, life, health, pet, SME, and transport risk across the country. The organization is building internal capabilities in data analytics and pricing automation, with active workstreams in payroll integration, compensation policy, and generative AI deployment. Current focus areas include improving data accessibility, ensuring compliance with labor and data-protection regulations, and translating predictive models into production pricing strategies.
Primary tools: Python, SQL, AWS, Azure, Redshift, DynamoDB. Analytics: Power BI, Power Automate. ML/data ops: SageMaker, Airflow, MLflow, Informatica, GitHub. Also uses Excel, R, MATLAB, Project Server.
Active projects include predictive model deployment, generative AI solution scaling, data pipeline development, pricing strategy implementation, payroll and compensation process automation, and pricing service monitoring.
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