🇺🇸 Raleigh, NC
$1K - $2K Annual
Posted 3 days ago
Expires December 18, 2026

LexisNexis Legal & Professional is seeking a Lead Data Scientist to join their team in Raleigh, NC. This role involves leading a team of data scientists to develop and deploy advanced AI and machine learning solutions, particularly focusing on large language models (LLMs) and transformer architectures. The company, a part of RELX, is a global provider of legal, regulatory, and business information, aiming to enhance productivity and decision-making for its clients.

As a Lead Data Scientist, you will be responsible for guiding the development of AI and machine learning models to address complex business challenges. Your duties will include collaborating with cross-functional teams to ensure AI solutions align with business objectives, analyzing large datasets to uncover patterns, and mentoring junior data scientists. Additionally, you will set team strategies, define best practices, and oversee the deployment of AI solutions.

Candidates should have substantial experience in senior data scientist roles, with a proven track record in leading complex projects and technical teams. A PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field is highly desired. Experience with large language models and transformer-based architectures, such as BERT, RoBERTa, and T5, is essential. Proficiency in Python and familiarity with distributed computing systems like Hadoop and Spark are also important.

The compensation for this position ranges from $104,900 to $174,700 annually, with additional incentive bonuses. Benefits include medical and life insurance, long-service awards, and flexible benefits accessible through a user-friendly platform. Paid time off encompasses annual leave, family care leave, and various other types of leave.

LexisNexis fosters a collaborative and innovative work environment, offering opportunities for professional growth and development. The company is committed to advancing the rule of law and supporting communities worldwide, providing a meaningful context for its employees' work.