LexisNexis Risk Solutions aims to provide insurance customers with solutions and decision tools that combine public and industry-specific content with advanced technology and analytics to help them evaluate and predict risk, enhance operational efficiency, and drive better data-driven decisions across the insurance policy lifecycle.
Requirements
- exceptional Python or R abilities
- experience with imperative programming languages, such as Java and SQL
- data visualization is ideal
Responsibilities
- Assembling, cleaning, merging, and parsing Big Data files to detect meaningful trends and predictive pattern
- Conducting analysis in support of existing and new product development, and/or customer sales
- Developing predictive solutions (with direction), documents model code, and work with internal or external stakeholders to validate predictive value of data driven solutions
- Developing attributes, filtering rationale and rules from raw data sources to support multiple machine learning approaches
- Providing support for client inquiries regarding score calculations, model performance or other analytic output
- Understanding and following analytic plans by identifying and executing the appropriate analytical technique
- Documenting clearly and communicating analytic work and/ or results
Other
- Hold a MS level education in Data Science, Math, Stats, Comp Sci, or other quantitative/applied math field.
- Have problem solving and communication skills
- The role will be Hybrid located at our headquarters in Alpharetta, GA
- may include some travel
