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Lead Data Scientist

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: Lexis Nexis
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below

Overview

Lead Data Scientist role at Lexis Nexis

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** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. **

About Us
:

Lexis Nexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.

Global Nexis Solutions, a division of Lexis Nexis Legal & Professional, builds the global data, AI, and platform capabilities that power Lexis Nexis products around the world.

Our mission is to transform how legal professionals, corporations, and governments access insights, make decisions, and create impact through trusted data and intelligent technology.

Within the GNS Data Science organization, you’ll operate at the intersection of applied research, product innovation, and scalable AI systems, helping shape the next generation of Lexis Nexis capabilities.

About the Role

As Lead Data Scientist, you will help define and drive the technical strategy for high-impact machine learning (ML), natural language processing (NLP), and large language model (LLM) initiatives across GNS. You’ll lead teams in developing, deploying, and governing production-grade AI systems that power Lexis Nexis products globally delivering measurable impact for hundreds of thousands of users. You will collaborate closely with product, engineering, and data platform partners to translate complex business challenges into scalable AI solutions, while fostering a culture of innovation, responsible AI, and technical excellence.

Key Responsibilities Team & Technical Leadership
  • Lead a team of (5-8) data scientists; provide mentorship, technical guidance, and professional development.
  • Serve as a player-coach, contributing hands-on to modeling and solution design while guiding others to deliver complex AI projects.
  • Act as a technical lead, supporting Senior Data Scientists in scoping and managing GNS data science initiatives aligned with platform and business strategy.
  • Consult and enforce processes to rigorously evaluate AI model and system performance through experimentation, validation, and monitoring.
Modeling & Solution Delivery
  • Collaborate with Senior Data Scientists and engineering teams to design, build, and deploy robust ML and LLM-based solutions for search, summarization, recommendations, and workflow automation.
  • Lead the design and delivery of end-to-end ML pipelines, from data ingestion and feature engineering to deployment and ongoing monitoring.
  • Establish and enforce technical standards in modeling, experimentation, reproducibility, and MLOps.
  • Partner with Data Science project leads to ensure seamless model integration into production environments, maintaining scalability, quality, and observability.
Cross-Functional Collaboration
  • Partner with product managers, data engineers, system architects, and domain experts to translate business goals into actionable data science deliverables.
  • Communicate technical findings, trade-offs, and recommendations effectively to both technical and non-technical stakeholders.
  • Collaborate with across wider group of data science and platform teams to share best practices, reusable components, and frameworks that accelerate innovation across Lexis Nexis.
Required Qualifications Experience
  • 5+ years of experience in data science, applied machine learning, or data engineering (NLP/LLM experience strongly preferred).
  • 2+ years of experience leading or mentoring data scientists or engineers, with a proven record of successful project delivery.
  • 2+ years of hands-on experience with NLP tools and methods
Technical Skills
  • Advanced programming and modeling proficiency in Python and ML frameworks.
  • Strong background in developing, tuning and deploying NLP and…
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