Lead Data Scientist — AI/ML Strategy & Team Leadership

relx; Raleigh (NC); On-site; USD 105,000 - 175,000; Full time

Job summary

LexisNexis, part of RELX, is seeking a Lead Data Scientist to lead a team of junior members, define project scope, and drive AI solutions. You will mentor, set best practices, and partner with product leaders to align data science with business goals.

The role demands deep ML expertise, experience with large datasets, and a track record of delivering high-quality results. You will collaborate with data engineers to design, develop, and deploy cutting-edge AI systems across the organization.

Qualifications

• Have substantial experience in a senior data scientist role.
• Experience in leading complex projects and customer relationships.
• Experience in leading technical teams.
• Mentoring or training others, acting as a subject matter expert to guide colleagues.
• Strong problem solving and the ability to translate complex concepts to non-technical stakeholders.

Responsibilities

• Lead the development of advanced AI and ML models to solve business problems.
• Collaborate with data scientists and engineers to design, develop, and deploy AI solutions.
• Mentor junior data scientists and establish best practices.
• Set strategy and direction for the data science team.
• Communicate insights to stakeholders clearly.
• Stay current with AI/ML trends and technologies.

Skills

Leadership

Mentoring

Communication

Problem solving

LLMs

Transformers

Hadoop

Spark

Education

PhD or Master's in CS/Math/Stats

Tools

Python

Job description

LexisNexis, part of RELX, is seeking a Lead Data Scientist to lead a team of junior members, define project scope, and drive AI solutions. You will mentor, set best practices, and partner with product leaders to align data science with business goals.

The role demands deep ML expertise, experience with large datasets, and a track record of delivering high-quality results. You will collaborate with data engineers to design, develop, and deploy cutting-edge AI systems across the organization.