Senior Data Scientist (Predictive Analytics Focus & Databricks)

• Design and deploy predictive models (e.g., forecasting, churn analysis, fraud detection) using Python/SQL, Spark MLlib, and Databricks ML
• Build end-to-end ML pipelines (data ingestion ? feature engineering ? model training ? deployment) on Databricks Lakehouse
• Optimize model performance via hyperparameter tuning, AutoML, and MLflow tracking
• Collaborate with engineering teams to operationalize models (batch/real-time) using Databricks Jobs or REST APIs
• Implement Delta Lake for scalable, ACID-compliant data workflows.
• Enable CI/CD for ML pipelines using Databricks Repos and GitHub Actions
• Troubleshoot issues in Spark Jobs and Databricks Environment.

• 5+ years in predictive analytics, with expertise in regression, classification, time-series modeling
• Hands-on experience with Databricks Runtime for ML, Spark SQL, and PySpark
• Familiarity with MLflow, Feature Store, and Unity Catalog for governance.
• Industry experience in Life Insurance or P&C.

• Python, PySpark , MLflow , Databricks AutoML
• Predictive Modelling ( Classification , Clustering , Regression , timeseries and NLP)
• Cloud platform (Azure/AWS) , Delta Lake , Unity Catalog

• Databricks Certified ML Practitioner

Trigyn Technologies