Sr Statistical Modeler

LexisNexis Risk Solutions FL Inc. Company; Minnesota; Hybrid; USD 105,000 - 175,000; Full time

Benefits offered by this job

Annual incentive bonus

Job summary

LexisNexis Risk Solutions is seeking a Sr Statistical Modeler to develop and implement analytics and AI solutions across the modeling lifecycle. This role independently executes complex analyses and translates problem statements into scalable machine learning solutions in production systems.

Collaborate with engineering, product, and platform teams, communicating insights clearly to technical and non-technical stakeholders. A Master’s degree is commonly required, with deep DS and ML experience.

Qualifications

• Proven data science experience with real-world ML applications.
• Hands-on experience developing, evaluating, and iterating predictive models.
• Experience evaluating model performance with statistical and ML metrics.
• Experience with structured and unstructured data at scale.
• Proficiency in Python and/or R with common libraries.
• Experience with SQL and cloud-based data platforms.
• Experience deploying data science workloads in AWS/Azure.
• Exposure to modern AI frameworks and LLM-based workflows.
• Ability to translate complex analytics into actionable insights.
• Clear, effective communication for non-technical audiences.

Responsibilities

• Apply statistical and ML methods to manage and analyze diverse data sources.
• Develop and maintain infrastructure connecting internal data sets.
• Recognized expert within the function and mentor others.
• Interprets business issues and recommends best practices to improve products, processes or services.
• Works independently, with guidance in complex situations.
• Trains/mentors junior staff and serves as an expert for clients.
• Interprets internal/external business challenges and translates to data solutions.

Skills

Data science

Statistical modeling

Machine learning

Communication

Problem solving

Education

Master’s degree in a related discipline

Tools

Python

R

SQL

AWS

Azure

PyTorch

XGBoost

Job description

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/

About the Role

The Sr Statistical Modeler develops and implements analytics and AI solutions that support business and product objectives across LexisNexis Risk Solutions. This role independently executes complex analytical work, translating well defined problem statements into scalable machine learning solutions across the full modeling lifecycle.

About the Team

This team is intentionally AI forward, suited for a practitioner with hands on experience building, operationalizing, and integrating models into production systems. The role collaborates closely with engineering, product, and platform teams and communicates analytical insights to both technical and non technical stakeholders.

Responsibilities

• Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex data from a variety of sources
• Develops and maintains infrastructure systems that connect internal data sets; creates new data collection frameworks for structured or unstructured data
• Recognized expert within the function
• Requires specialized depth and/or breadth of expertise
• Interprets internal or external business issues and recommends best practices
• Works independently, with guidance in only the most complex situations
• Trains/mentors junior staff
• Serves as an expert of own discipline to clients
• Interprets internal/external business challenges and recommends best practices to improve products, processes or services

Requirements

• Proven Data Science experience, Advanced academic experience—such as a Master’s degree in a related discipline—may substitute for part of the required experience Solid experience in applying machine learning and statistical techniques to real‑world problems.
• Hands‑on experience developing, evaluating, and iterating on predictive and machine learning models.
• Experience evaluating model performance using appropriate statistical and machine learning metrics and validation techniques.
• Experience working with structured and unstructured data at scale.
• Proficiency in Python and/or R using common data science and machine learning libraries (e.g., pandas, NumPy, scikit‑learn, XGBoost, PyTorch).
• Experience working with SQL and relational or cloud‑based data platforms.
• Hands‑on experience developing and running data science and AI workloads in cloud environments such as AWS and Azure, including compute, storage, monitoring, and cost‑aware execution.
• Exposure to modern AI frameworks and tools, including large language model (LLM)‑based solutions and retrieval‑augmented workflows.
• Experience training, fine‑tuning, or evaluating neural network‑based models as part of applied machine learning solutions.
• Experience in applying software engineering best practices to data science codebases, including testing, code quality checks, and version control workflows.
• Ability to independently execute complex analytical work within defined scope.
• Clear and effective communicator, able to explain technical ideas in a way that’s easy for non‑technical audiences to understand.
• Learn more about the LexisNexis Risk team and how we work: https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000

Benefits and Compensation

• U.S. National Base Pay Range: $104,900 - $174,700.
• Geographic differentials may apply in some locations to better reflect local market rates.
• Base Pay Range for CO is $104,900 - $174,700.
• Base Pay Range for IL is $110,100 - $183,500.
• Base Pay Range for Chicago, IL is $115,400 - $192,200.
• Base Pay Range for MD is $110,100 - $183,500.
• Base Pay Range for NY is $115,400 - $192,200.
• Base Pay Range for New York City is $125,900 - $209,700.
• Base Pay Range for Rochester, NY is $104,900 - $174,700.
• Base Pay Range for OH is $99,700 - $166,000.
• Base Pay Range for NJ is $123,816- $197,784.
• This job is eligible for an annual incentive bonus.
• Application deadline is 11/30/2026.
• We know your well-being and happiness are key to a long and successful career.
• We are delighted to offer country specific benefits.

About the Company

At LexisNexis® Risk Solutions, our businesses span multiple industries providing customers with innovative technologies, information‑based analytics, decisioning tools and data management services that provide market‑specific solutions. Approximately 11,100 employees in offices throughout the world support our brands by serving customers in more than 190 countries and territories.

LexisNexis® Risk Solutions is part of RELX, a global provider of information and analytics for professional and business customers across industries. For more information, please visit www.risk.lexisnexis.com and www.relx.com.