Insurance Risk Analytics Expert
2 days ago
We are looking for a skilled Data Scientist II to join our Insurance team at LexisNexis Risk Solutions. The ideal candidate will have extensive experience in data analysis, machine learning, and cloud computing, as well as excellent communication and collaboration skills.
Responsibilities
- Conduct advanced data analysis and machine learning tasks to develop predictive models and drive business decisions.
- Design and implement large-scale data processing pipelines using Azure services like Azure Databricks, Azure Data Factory, and Azure ML studio.
- Work with Azure data storage services like Azure Blob storage and Azure Data Lake Gen2 services for efficient data retrieval and storage.
- Analyze the performance of data pipelines, machine learning models, and cloud resources to ensure optimal performance and efficiency.
Requirements
- Bachelor's degree or higher, with significant experience in Data Science and cloud computing.
- Proficiency in Python or R, with experience in modeling and project work using GLMs (Generalized Linear Models), GBDT/XGBoost/LightGBM/CatBoost, or other machine learning algorithms.
- Advanced data processing skills with a deep understanding of and experience in applying data science libraries such as numpy, pandas, and sklearn.
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