Analyst II (Colombia)

What you will do

• Develop, validate, and operationalize predictive models (GLMs, tree-based, and other ML methods) to solve business problems across insurance areas.
• Work hands‑on with large structured and unstructured datasets for feature engineering, model building, and diagnostics.
• Design and run controlled experiments in Databricks, track runs, analyze results, and promote reproducible workflows.
• Implement experiment and model versioning using GitHub for code/version control and experiment-tracking tools (MLflow or equivalent).
• Build model monitoring, drift detection, and automated retraining triggers to maintain production performance.
• Produce interpretable model explanations (SHAP, PDP/ICE) and translate results into actionable recommendations for stakeholders.
• Collaborate closely with global technical teams and business partners, delivering clear documentation, code reviews, and handoffs for production depl...