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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 general technical teams and business partners, delivering clear documentation, code reviews,



and handoffs for production deployment.

About the Team and Department

Data Science Solutions develops predictive analytics that empower data-driven strategic decisions across the business. By leveraging both established and emerging data science techniques, we work with large structured and unstructured datasets to uncover insights and build models that drive meaningful business outcomes.

Within this group, the Model Automation & Production team focuses on maximizing the value of our existing models through efficiency and automation. Our responsibilities include:

- Model monitoring, refresh, and enhancement.
- Development and maintenance of machine learning data pipelines.

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Postúlate en Kit Empleo: kitempleo.com.co/empleo/1azljk

📌 Analyst II (Colombia)
🏢 Liberty Specialty Markets
📍 Colombia