LexisNexis Risk Solutions is looking to solve complex business problems in the insurance vertical by extracting knowledge and insights from high-volume, high-dimensional data to investigate and predict risk and enhance operational efficiency.
Requirements
- Working knowledge of standard data languages (e.g. Python, R, etc..)
- Basic understanding of best practices in data integrity and manipulation
- Experience in cloud environment a plus
- Proven work experience in Data, Analytics, or Insurance
- Bachelor’s degree in a quantitative field such as Statistics, Applied Math, Computer Science or a related quantitative field
Responsibilities
- Primarily provide support to more senior Data Scientists
- Pulls data, cleans data, builds and maintains existing models
- Participates in result presentation to internal stakeholders
Other
- Bachelor’s degree in a quantitative field such as Statistics, Applied Math, Computer Science or a related quantitative field
- Proven work experience in Data, Analytics, or Insurance OR Master’s degree in Actuarial Science, Statistics, or Data Science
- Willingness to learn new technical skills and industry domain knowledge
- Have a desire to help solve complex problems
- Travel requirements not specified
