Client-Facing Data Scientist: Fraud Analytics & Innovation

RELX; Pennsylvania; On-site; USD 115,400 - 192,300; Full time

Benefits offered by this job

Medical Insurance

Life Insurance

Flexible Working Arrangements

Learning & Development Resources

Employee Assistance Program

Job summary

LexisNexis Risk Solutions is seeking a Client Facing Data Scientist to drive innovation in fraud detection using ThreatMetrix, Emailage, and other Risk Solutions products on the Dynamic Decision Platform.

You will scope and deliver analytics projects, explain complex patterns to non-technical audiences, and collaborate with Products, Engineering, and Sales to improve our solutions across various industries.

Qualifications

• Strong knowledge of SQL, Python, Excel, and Lua.
• Experience with Git and Jira for research projects.
• Ability to translate data patterns into actionable insights.
• Excellent communication for non-technical audiences.

Responsibilities

• Analytics: Use and suggest new tools to optimize models and policies across datasets.
• Consulting: Scope, plan and deliver customer analytics projects.
• Innovation: Propose and implement research to improve tools and capabilities; experience with Git and Jira required.
• Presentation: Clearly explain complex patterns to non-technical audiences.
• Best Practice: Develop scalable practices to accelerate deliverables.
• Collaborate: Work with Products, Engineering, Sales to improve offerings.

Skills

SQL

Python

Excel

Lua

Tools

Git

Jira

Job description

LexisNexis Risk Solutions is seeking a Client Facing Data Scientist to drive innovation in fraud detection using ThreatMetrix, Emailage, and other Risk Solutions products on the Dynamic Decision Platform.

You will scope and deliver analytics projects, explain complex patterns to non-technical audiences, and collaborate with Products, Engineering, and Sales to improve our solutions across various industries.