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# Manager of Data Science

- **Company:** LexisNexis
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Elasticsearch, Graph Database, Information Retrieval, Python (Programming Language), Machine Learning, OpenAI, Apache Solr, TorchServe, Qdrant, Retrieval-Augmented Generation, Large Language Models, Generative AI, Agentic-AI, Containerization, Kubernetes, Information Technology, HuggingFace, Weaviate, Ray Serve, Machine Learning Operations, Docker
- **Published:** October 14, 2026
- **Apply:** https://startup.jobs/manager-data-science-relx-india-pvt-ltd-els-div-c-10439544

## About the Role

* Previous people management experience (3+ years) of teams building LLM-based applications, especially in domains requiring rigor and traceability like legal, finance, or compliance.
 * Hands-on experience delivering systems using LangChain, LLM agent frameworks, vector databases, and prompt orchestration pipelines.
 * Strong background in deploying retrieval-augmented generation (RAG) systems for grounded and auditable responses.
 * Demonstrated success in taking LLM-powered applications from prototype to production.

Technical Proficiency

 * Proficient with Python and LLM tooling: LangChain, HuggingFace Transformers, OpenAI APIs, and prompt tuning techniques.
 * Familiarity with vector databases (e.g., Solr, Elasticsearch, Qdrant, Weaviate), knowledge graphs, and hybrid retrieval architectures.
 * Working knowledge of containerization (Docker, Kubernetes), CI/CD, and model serving tools (TorchServe, Triton, Ray Serve).
 * Cloud infrastructure experience on AWS, Azure, or GCP.

Preferred Background

 * Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience.
 * 6 years of post-degree experience, with 3+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems.
 * Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable.
 * Familiarity with ethical/legal considerations in deploying generative AI in professional settings.

## Description

Vision & Strategy:

 * Define the roadmap for applying LLMs and agentic AI to real-world legal drafting.
 * Evangelize and embed AI-driven change across legal product platforms.
 * Translate evolving generative AI capabilities into tangible customer value within the legal domain.

Technical & Product Leadership:

 * Architect systems that combine foundation models with RAG pipelines to draft contracts, memos, and pleadings grounded in enterprise knowledge.
 * Guide the development of AI agents that perform multi-step reasoning, cite evidence, retrieve domain-specific content, and produce compliant outputs.

Team & Operational Excellence:

 * Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers.
 * Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design.
 * Establish best practices for evaluation, observability, and responsible use of generative AI.