Luxoft DXC Technology Company is an established company focusing on consulting and implementation of complex projects in the financial industry. At the interface between technology and business, we convince with our know-how, well-founded methodology and pleasure in success. As a reliable partner to our renowned customers, we support them in planning, designing and implementing the desired innovations. Together with the customer, we deliver top performance!

For one of our Clients in the Insurance Segment we are searching for a Senior Data Scientist with Databricks and Predictive Analytics Focus.

Responsibilities

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.

Mandatory Skills

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

Nice-to-Have Skills