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Hope you are doing well !!

This is Raghwendra, and I’m a Sr. Technical recruiter with E-Solutions., a diversity-inclusive global workforce solutions company headquartered in San Jose, California.

I was going through your resume and wanted to share this amazing, fast-moving opportunity that I have, which seems like the perfect fit for a dynamic person like you. Here’s the job description for your reference.

Job Title : Data Scientist with P&C or Life insurance experience 

Job Location: Remote, USA

Job Duration : Long term contract position

Job Description :-

• 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.

  **Requirements:**

  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.

  **Skills:**

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

  **Certifications**

  Databricks Certified ML Practitioner (Optional)