Data Scientist III

About the Business:

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle all while reducing risk. You can learn more about LexisNexis Risk at the link below. https://risk.lexisnexis.com/insurance

About our team:

The team is responsible for developing, implementing, and maintaining attribute logic for both internal and external customers. Our work includes maintaining code, supporting queries, and updating documentation.

About the role:

This position involves moderately complex attribute development tasks, requiring close collaboration with Modelling, Technology, and Internal Customers. The candidate should be able to quickly work independently with minimal supervision.

Responsibilities:

• Leading creation and maintenance of attributes using KEL from various data sources by working with Modelling and Technology.
• Testing attributes independently for quality, completeness and consistency through constant monitoring and auditing for project of moderate complexity, using required techniques and tools such as Python, ECL, Java as needed.
• Completing bug fixes.
• Maintaining up to date and accurate documentation of all attributes and attribute sets.
• Recommending enhancements to Attribute development application and ensure its proper operation.
• Maintaining user guides and training materials for the application.
• Partnering with Modelling to build new attributes and attribute sets to meet new and changing business needs.
• Working with other programmers to ensure new attributes are implemented accurately in production environment.
• Keeping Manager informed of latest progress through effective communication of status and next steps.

Requirements:

• Master’s degree in data Analytics, Statistics, Computer Science, Math or equivalent experience
• Experience in programming, data analysis or related field
• Working knowledge of relational databases a plus
• Have experience with KEL, ECL, Python, Java, SQL, or C++ skills a plus
• Experience working with data analytics-driven solutions with sensitive data sources
• Demonstrated experience with data manipulation and analysis
• Have excellent degree of creative, analytical and problem-solving skills
• Show ability and desire to learn new processes and technologies
• Demonstrate ability to complete moderately complex bug fixes
• Have good oral and written communications skills

Learn more about the LexisNexis Risk team and how we work here

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