Manager Data Science

LexisNexis Risk Solutions; Philadelphia (Philadelphia County); On-site; USD 115,400 - 192,300; Full time

Benefits offered by this job

Annual incentive bonus

Job summary

LexisNexis Risk Solutions is seeking a Data Science Leader to build and inspire high-performing teams dedicated to advancing AI and machine learning capabilities.

This role will guide strategies for delivering innovative AI solutions that empower scientific discovery, ensuring projects align with meaningful outcomes. The ideal candidate will have significant experience leading technical teams and a passion for applying AI to create impactful solutions.

U.S. National Base Pay Range: $115,400 - $192,300, plus eligibility for an annual incentive bonus.

Qualifications

• Significant experience leading data science and AI teams.
• Proven success building and coaching high-performing teams.
• Technical expertise in machine learning and generative AI.
• Experience with large-scale data in production environments.

Responsibilities

• Lead and develop high-performing teams of data scientists.
• Drive development of AI-powered capabilities across products.
• Translate complex challenges into scalable data science solutions.
• Ensure AI systems are trustworthy and measurable.

Skills

Leadership

Data Science

Machine Learning

AI

Natural Language Processing

Stakeholder Management

Communication

Education

Experience leading technical teams

Job description

About the team

As part of a growing team of Data Scientists, you will take on some of the hardest problems in science. This team is building intelligent systems that can reason across scientific publications, research data, knowledge graphs, ontologies, metadata, taxonomies, citations, and content spanning every scientific discipline.

About the Role

As a Data Science Leader, you will build, develop, and inspire high‑performing teams responsible for delivering advanced AI, machine learning, search, retrieval, natural language processing, and generative AI solutions that power scientific discovery and research intelligence. You will provide strategic direction, elevate technical excellence, and help shape the future of AI‑enabled products used by researchers and healthcare professionals worldwide.

What You'll Do

• Lead and develop high‑performing teams of data scientists, machine learning engineers, researchers, and technical contributors.
• Define and execute data science strategies that advance scientific discovery, research intelligence, and knowledge‑access products.
• Drive the development of AI‑powered capabilities across search, retrieval, recommendation, NLP, knowledge systems, and generative AI.
• Translate complex customer, scientific, and business challenges into scalable data science solutions and measurable outcomes.
• Establish high standards for experimentation, evaluation, model quality, reliability, and responsible AI practices.
• Partner closely with Product, Engineering, Research, UX, Analytics, and domain experts to shape product strategy and delivery.
• Mentor and coach team members while fostering a culture of scientific rigor, collaboration, innovation, and continuous learning.
• Guide the adoption of emerging AI technologies, including large language models, retrieval‑augmented generation, semantic search, and knowledge‑based systems.
• Influence senior stakeholders and contribute to long‑term AI, technology, and product strategy across the organization.
• Ensure that AI systems are trustworthy, scalable, explainable, measurable, and aligned with meaningful customer and societal outcomes.

What We're Looking For

• Significant experience leading data science, machine learning, artificial intelligence, NLP, information retrieval, or related technical teams.
• Proven success building, coaching, and developing high‑performing teams in complex technology or product environments.
• Technical expertise across machine learning, generative AI, large language models, retrieval systems, experimentation, and model evaluation.
• Experience delivering AI‑powered products or platforms from concept through production deployment and measurable impact.
• Deep understanding of modern AI approaches, including LLMs, RAG architectures, semantic search, embeddings, and knowledge systems.
• Experience establishing evaluation frameworks, experimentation practices, and performance metrics for AI solutions.
• Ability to translate ambiguous challenges into clear strategy, execution plans, and business outcomes.
• Exceptional communication and stakeholder‑management skills with the ability to influence technical, product, and executive audiences.
• Experience working with large‑scale structured, semi‑structured, and unstructured data in production environments.
• A passion for advancing science, expanding access to knowledge, developing people, and applying AI to create meaningful real‑world impact.

Why Join Elsevier

• Leadership will matter: you will lead teams building AI systems that help researchers discover knowledge faster, assess evidence more effectively, generate new insights, and accelerate scientific progress.
• U.S. National Base Pay Range: $115,400 - $192,300 (geographic differentials may apply; specific ranges for Maryland, New York, New York City, Rochester, NY, and New Jersey detailed).
• This job is eligible for an annual incentive bonus.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or contacting 1-855-833-5120.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.