About the Team:

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role:

​Are you looking to develop your Data Scientist career?

Would you enjoy training more junior team members?

As a Senior Data Scientist II, you will need to independently design and deliver effective AI solutions for data scientist projects. Your work will involve collaborative problem solving, technical leadership, and mentoring of junior team members.

Responsibilities:

• Develop and implement advanced models for tasks such as information extraction, classification, and entity linking.
•  Work with long-context modeling, coreference resolution, retrieval/re-ranking systems, and LLM structured output.
• Lead in designing baselines, comparators, ablation studies, and rigorous evaluation strategies.
• Oversee data collection and annotation processes to build high-quality datasets.
• Define and measure key performance metrics (e.g., Precision, Recall, F1, ranking metrics) to evaluate model performance.
• Conduct comprehensive error analysis and perform iterative model enhancement.
• Implement and deploy models in both batch and real-time environments.
• Collaborate with engineering teams to build end-to-end data pipelines and scalable production systems.
• Write detailed design documents and ensure reproducibility of the entire modeling pipeline.

Requirements:

• Strong experience with several areas such as information extraction, long-context modeling, entity linking, and retrieval systems.
• Proficiency in Python and experience with ML frameworks and libraries, including PyTorch/Transformers, spaCy, and vector search libraries.
• Advanced skills in evaluation design, error analysis, and a capability to defend trade-offs using clear metrics.
• Experienced with deploying production-grade machine learning models and managing end-to-end pipelines.
• Must have experience leading and building Content AI Automation Solutions.
• Prior work experience in regulated domains or industries with complex data challenges preferred.
• Knowledge of agentic frameworks and capabilities in building agentic solutions is a valuable plus.
• Excellent written and verbal communication skills for effective collaboration with technical and non-technical stakeholders.

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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