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 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. This teams 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 in Python or PySpark.
• Possess current work experience in statistical modeling and analysis.
• Possess 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.
• Works across coding languages used in Data Science (e.g. Python, SQL, and R)
• Knowledge of machine learning models, with a preference for experience in Natural Language Processing (NLP) or Large Language Models (LLMs), is a plus.

Responsibilities

• Designing and executing data-driven solutions to quantify the performance of acquisition and retention efforts. Identify opportunities to improve conversion, lower churn, and optimize lifetime value through segmentation, predictive modeling, and causal inference.
• Developing, deploying, and maintaining models (e.g., propensity, churn, response, uplift) using techniques such as logistic regression, random forest, XGBoost, and clustering methods.
• Working with structured and unstructured data from various sources (internal and external), ensuring quality, consistency, and readiness for modeling and analytics.
• Partnering closely with marketing, product, data engineering, and vertical business stakeholders to define requirements, align on business goals, and translate insights into actionable outcomes.
• Designing tests and interpret results to guide marketing strategies, product changes, and retention interventions.
• Communicating complex analyses and insights to technical and non-technical audiences. Build dashboards and presentations that drive decision-making and transparency.

LexisNexis® Risk Solutions provides customers with innovative technologies, information-based analytics, decisioning tools and data management services that help them solve problems, make better decisions, stay compliant, reduce risk and improve operations. Headquartered in metro-Atlanta, Georgia it operates within the Risk market segment of RELX, a global provider of information-based analytics and decision tools for professional and business customers.

Benefits Section of Job Description:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice