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
U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.
Skills Required
- Experience leading complex data science or attribute development projects independently
- Strong programming skills in Python, ECL, R, or similar languages
- Ability to convert analytic programming code (Python, ECL, R) to KEL independently
- 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
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
-
Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
-
Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
-
Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
.jpg)
