Senior Data Scientist I

Are you passionate about building advanced data-driven solutions that shape critical business decisions?

Do you enjoy leading complex analytics projects and mentoring others to deliver impactful outcomes?

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 https://risk.lexisnexis.com/insurance.

About our Team

We are the Attributes Team within Risk Solutions, responsible for driving the data and analytics foundations that power our core products. By leveraging advanced technical skills, statistical expertise, and data mining techniques, our team builds, optimizes, and scales high-performance data features and attributes. We transform vast amounts of complex raw data into actionable, model-ready insights that fuel decisioning engines across the business. Collaboration is at the heart of what we do. We partner closely with key stakeholders across business, technology, and analytics teams to solve complex technical and strategic challenges. Above all, we pride ourselves on a strong 'One Team' culture grounded in deep ownership, decisive problem-solving, and continuous innovation.

About the Role

This position conducts complex research, design, and attribute development assignments for a product with Attribute team, Modeling, Technology, and Internal Customers. This position should have the ability to lead a project independently, from design to delivery, as well as mentor junior team members. Tactically, this position codes, deploys, troubleshoots, and validates the attributes, as well as maintains and monitors attributes once programmed. The Sr. Data Scientist will also investigate, resolve, and document any data or code issues found.

Responsibilities

• Lead Attribute development design meetings, as well as develop and maintain attributes using KEL from various data sources by working with Modelling, Technology, Product and Internal Customers.
• Validate the data readiness and mentor junior team members in understanding the high-level project design.
• Test attributes independently for quality, completeness and consistency through constant monitoring and auditing for project of high complexity, using required techniques and tools such as Python, ECL.
• Successfully convert analytic programming code (Including but not limited to: Python, ECL, R) to KEL independently.
• Resolve complex issues as necessary and maintain up to date and accurate documentation of all attributes and attribute sets.
• Define and oversee development and enhancements to Attribute development application and ensure its proper operation. Maintain user guides and training materials for the application.
• Train internal customers as necessary on the development and use of new attributes.
• Mentor junior analysts on proper attribute creation methodologies and optimization techniques.
• Work with other programmers to ensure new attributes and models are implemented accurately in production environment.
• Keep Manager informed of latest progress through effective communication of status and next steps.

Requirements

• Experience leading complex data science or attribute development projects independently
• Strong programming skills in Python, ECL, R, or similar languages
• Ability to design, deploy, troubleshoot, and validate data attributes
• Experience working with large and diverse data sources
• Strong problem-solving skills and ability to resolve complex technical issues
• Experience mentoring or supporting junior team members
• Ability to communicate progress, status, and next steps effectively
• Familiarity with analytics workflows and production implementation processes

Risk benefit statement

Learn more about the LexisNexis Risk team and how we work https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000