Data Scientist III*Hybrid in Alpharetta, GA

LexisNexis Risk Solutions Inc. Company; Alpharetta (GA); On-site; USD 87,000 - 144,000; Full time

Job summary

LexisNexis Risk Solutions is seeking a Data Scientist III in Alpharetta, GA. The role focuses on developing complex attribute logic, validating data quality, and delivering production-ready solutions in collaboration with Modelling and Technology teams.

Responsibilities include designing robust analytics, exploring AI/ML techniques, and ensuring reproducibility and governance in data handling and model outputs.

Qualifications

• Master’s degree required in analytics, CS, math or equivalent experience.
• Experience with KEL, ECL, Python, Java, SQL, or C++ preferred.
• Knowledge of relational databases and data handling.
• Foundational AI/ML knowledge and testing experience.

Responsibilities

• Develop and maintain KEL attributes from multiple data sources.
• Test and monitor attribute quality using Python, ECL, Java, and other tools.
• Document attributes, data sources, and validation records.
• Collaborate with Modelling and Technology to productionize attributes.
• Prototype AI/ML for attribute discovery and feature engineering.
• Apply approved generative AI tools with validation of outputs.

Skills

KEL

ECL

Python

Java

SQL

C++

Education

Master’s degree in Data Analytics, Statistics, Data Engineering, Computer Science, Mathematics, or equivalent experience

Job description

Data Scientist III

About the Business: LexisNexis Risk Solutions is an essential partner in risk assessment. Within our insurance vertical, we combine public and industry-specific content with advanced technology and analytics to help customers evaluate and predict risk and improve 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 develops, implements, and maintains data attributes and attribute logic for internal and external customers. We collaborate with Modelling and Technology to deliver reliable, well-documented attributes that support analytics and risk solutions. Our work includes code maintenance, query support, data quality validation, and ongoing documentation.

About the role

As a Data Scientist III, you will deliver moderately complex attribute-development projects in close partnership with Modelling, Technology, and internal customers. You will translate business needs into robust attribute logic, validate data and implementation quality, and support production delivery. You will also evaluate and apply artificial intelligence (AI), including machine learning and generative AI where appropriate, to improve attribute research, development, testing, and documentation. This role requires the ability to become productive quickly, exercise sound technical judgement, and work independently with minimal supervision.

Responsibilities

• Develop and maintain KEL attributes from multiple data sources, translating business needs into analytical solutions with Modelling and Technology.
• Independently test and monitor attribute quality, completeness, and consistency using Python, ECL, Java, and other tools; diagnose defects and validate fixes.
• Maintain attribute definitions, source data documentation, business logic, validation records, user guides, and training materials.
• Partner with developers and Technology to deliver attributes into production and improve application functionality, reliability, and efficiency.
• Prototype and evaluate AI and machine learning for attribute discovery, feature engineering, and anomaly detection against established methods and defined criteria.
• Use approved generative AI and large language model (LLM) tools for coding, testing, and documentation, independently validating outputs before use.
• Apply responsible AI practices: protect sensitive data, ensure reproducibility and explainability, assess bias, document limitations, and follow governance, security, and human oversight requirements.
• Clearly communicate progress, findings, risks, dependencies, and next steps to the manager and stakeholders.

Requirements

• Master’s degree in Data Analytics, Statistics, Data Engineering, Computer Science, Mathematics, or equivalent experience.
• Experience in programming, data analysis, or a related field, independently delivering moderately complex work and troubleshooting, testing, and documenting fixes.
• Experience with KEL, ECL, Python, Java, SQL, or C++, and working knowledge of relational databases, are preferred.
• Experience with analytics involving sensitive data and an understanding of privacy, security, and appropriate data handling.
• Experience in data manipulation, exploratory analysis, and validation of data quality and analytical results.
• Strong analytical, creative problem-solving, and accuracy skills, with the ability to learn and apply new tools and technologies.
• Foundational AI and machine learning knowledge, including feature engineering, training, validation, evaluation metrics, overfitting, and data leakage; understanding of LLM limitations, output validation, human review, and confidentiality.
• Practical experience with Python-based machine learning libraries or approved generative AI tools, and familiarity with responsible AI principles—explainability, fairness, reproducibility, and governance—are preferred.
• Strong written and verbal communication skills, with the ability to explain technical concepts and collaborate with technical and business stakeholders.

Compensation and Benefits

U.S. National Base Pay Range: $86,600 - $144,400. 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.

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.

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.

RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.