(Team and People) Lead Data Scientist

Lexis Nexis; Raleigh (NC); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Disability insurance

Dependent care and commuter spending accounts

Life and accident insurance

Retirement benefits

Modern family benefits

Job summary

A leading information services provider seeks a Lead Data Scientist in Raleigh, NC. You will define the technical strategy for ML and NLP initiatives, lead a team, and ensure successful project delivery. The ideal candidate has 5+ years in data science, strong programming skills, and experience mentoring others. This role offers a full-time commitment with benefits focused on work/life balance.

Qualifications

• 5+ years of experience in data science or applied machine learning.
• Experience leading or mentoring data scientists or engineers.
• Hands-on experience with NLP tools.

Responsibilities

• Define and drive the technical strategy for ML and NLP initiatives.
• Lead teams in developing AI systems.
• Collaborate with product and engineering teams.

Skills

Python programming

Machine Learning frameworks

NLP tools and methods

Stakeholder management

Analytical mindset

Education

Bachelor’s degree in computer science

Advanced degree (master’s or Ph.D.)

Tools

AWS

GCP

Azure

Docker

Job description

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:

LexisNexis, 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 LexisNexis Legal & Professional, builds the global data, AI, and platform capabilities that power LexisNexis 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 LexisNexis 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 LexisNexis 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 LexisNexis.

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 LLM applications.
• Experience building scalable ML pipelines and moving solutions from research to production environments.
• Familiarity with cloud and containerized environments such as AWS, GCP, Azure, and Docker.
• Working knowledge of model monitoring and observability tools.
• Excellent stakeholder management, collaboration, and communication skills.
• Proven ability to bridge the gap between technical concepts and business outcomes.
• Strong organizational and problem-solving skills with a strategic, analytical mindset.
• Education
• Bachelor’s degree in computer science, Data Science, Statistics, or a related quantitative field.
• Advanced degree (master’s or Ph.D.) preferred.

Preferred Qualifications

• Familiarity with search, summarization, document understanding, or retrieval-augmented generation (RAG) systems.
• Knowledge of responsible AI frameworks, model governance, and fairness evaluation.
• Contributions to open-source ML/AI libraries

Work in a way that works for you

We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees

Working with Us

LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace.

Working for you

We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Disability insurance
• Dependent care and commuter spending accounts
• Life and accident insurance
• Retirement benefits (salary investment plan/employer stock purchase plan)
• Modern family benefits, including adoption and surrogacy

About our Team

LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Information Services