Data Scientist
EXL Gurugram, Haryana, India
Business Consulting and Services · 10,001+ employees
About the role
The role involves building end-to-end automated machine learning pipelines and developing scalable ETL/ELT workflows using Python and PySpark. Additionally, the candidate will manage MLOps processes, including CI/CD implementation, model deployment, and integration with insurance systems.
What they look for
Requirements
Candidates must hold a Bachelor's or Master's degree in Engineering. The position requires 3-6 years of relevant experience in Python programming and predictive model development.
Full description
- Build reusable Python modules for:
- Data preparation
- Feature engineering
- Model training
- Hyperparameter tuning
- Model evaluation
- Model scoring
- Model validation
•
- Develop configurable workflows to reduce model development turnaround time.
Responsibilities
- Build end-to-end automated pipelines.
- Develop scalable ETL/ELT workflows using Python and PySpark.
- Automate data ingestion, transformation, validation, and feature generation processes.
- Implement metadata-driven and reusable pipeline architectures.
MLOps & Deployment
- Develop and maintain CI/CD pipelines for ML solutions.
- Package and deploy models as APIs, batch services, or containerized applications.
- Integrate models with underwriting, claims, and pricing systems.
Implement model versioning, model registry integration, and release management processes
Qualifications
Bachelor's/Master's in Engineering 3-6 years
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