Data Scientist II

Are you looking for a Data Scientist role whereby you will unlock insights from large-scale datasets and build models to drive success for one of our core business verticals? About the role: We are seeking a Data Scientist II to join our Acquisition and Retention Analytic team. In this role, you will apply advanced data science techniques to drive strategic decision-making, optimize marketing effectiveness, and elevate customer lifetime value in a highly competitive and evolving insurance landscape. As part of the Acquisition and Retention Analytics team, you’ll work cross-functionally with marketing, product, and vertical teams to unlock insights from large-scale datasets and build models that improve campaign performance, personalize customer engagement, and proactively reduce attrition. About the team: The Acquisition and Retention Analytics team works cross-functionally with marketing, product, and vertical teams to unlock insights from large-scale datasets and build models that improve campaign performance, personalize customer engagement, and proactively reduce attrition. These products help insurance carriers and financial institutions identify, attract, and retain high-value customers. This solution leverages advanced analytics, extensive data assets, and proprietary linking technology to optimize customer acquisition and retention strategies. Requirements: Current and extensive model development experience in Python or PySpark. Experience in statistical modeling and analysis. Domain expertise in Data Science and/or Statistical Analysis, with the capability to develop advanced models and collaborate with cross-functional teams to deploy them into production. Ability to design, scope, and implement new statistical methodologies with guidance and approval from leadership. Proficiency in coding languages used in Data Science (e.g., Python, SQL, R). Knowledge of machine learning models; experience with Natural Language Processing (NLP) or Large Language Models (LLMs) is a plus. Responsibilities: Design and execute data-driven solutions to evaluate acquisition and retention efforts. Identify opportunities to improve conversion, reduce churn, and optimize customer lifetime value through segmentation, predictive modeling, and causal inference. Develop, deploy, and maintain models (e.g., propensity, churn, response, uplift) using techniques such as logistic regression, random forest, XGBoost, and clustering. Handle structured and unstructured data from various sources, ensuring quality and readiness for analysis. Partner with marketing, product, data engineering, and vertical stakeholders to define requirements and translate insights into actionable strategies. Design tests, interpret results, and guide marketing strategies, product changes, and retention efforts. Communicate complex analyses and insights to both technical and non-technical audiences. Create dashboards and presentations to support decision-making. About LexisNexis Risk Solutions: We provide innovative technologies, analytics, decisioning tools, and data management services that help clients solve problems, make better decisions, stay compliant, reduce risks, and improve operations. Headquartered in metro-Atlanta, Georgia, we operate within the Risk market segment of RELX, a global provider of information-based analytics and decision tools. We value your wellbeing and happiness. Benefits include: Health benefits: Medical, dental, and vision coverage. Retirement plans: 401(k) with match and Employee Share Purchase Plan. Wellbeing programs: Wellness platform, Headspace subscription, Employee Assistance, and Time-off. Insurance: Disability, Life, Critical Illness, Hospital Indemnity. Family benefits: Leave policies, adoption, and surrogacy support. Financial accounts: HSA, FSA, Dependent Care, Commuter Accounts. Additional leave: Paid days for ERG participation and volunteering. Our commitment to diversity: We promote inclusive leadership and equitable processes. We welcome applicants from diverse backgrounds and underrepresented groups. Equal opportunity statement: We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, marital status, sexual orientation, gender identity, or genetic information. For accommodations, contact us via the provided link or phone number. RELX is headquartered in London, England.

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