Senior Data Scientist III - Agentic AI

Posted 2 Days Ago
Be an Early Applicant
4 Locations
In-Office
115K-192K Annually
Senior level
Information Technology • Legal Tech • Professional Services • Analytics • Business Intelligence
The Role
Lead design, experimentation, and validation of agentic AI capabilities for legal products using ML, NLP, LLMs, RAG, and hybrid retrieval. Define agentic workflows, retrieval strategies, evaluation metrics, and benchmarking. Analyze large legal datasets, translate results into product recommendations, collaborate with product/engineering/legal experts, and mentor the data science team.
Summary Generated by Built In

About our Team:
 

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, 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.

About the Role:

Are you looking to develop your Data Scientist career?

Do you enjoy coaching others to achieve high standards?

We are seeking a Senior Data Scientist III to lead the design and validation of Agentic AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why—leveraging machine learning, NLP, and large language models (LLMs) to solve complex legal workflows.

You will drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions.

Responsibilities:

  • Lead experimentation and model development for AI/ML solutions in legal products.

  • Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).

  • Define agentic workflows and reasoning strategies for multi-step legal tasks.

  • Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).

  • Analyze large-scale legal datasets to extract insights and improve model performance.

  • Establish best practices for model evaluation, validation, and benchmarking.

  • Translate experimental results into clear product recommendations and business impact.

  • Collaborate with product, legal experts, and engineers to align solutions with user needs.

  • Mentor team members and provide technical leadership in data science and AI.

Required Qualifications

  • Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).

  • Strong experience in machine learning, NLP, and LLM-based modeling.

  • Proven experience designing and running experiments, including model evaluation and iteration.

  • Experience with generative AI techniques (e.g., prompt engineering, RAG).

  • Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.

  • Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.

  • Proficiency in Python and data analysis tools.

  • Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).

  • Able to analyze large-scale legal datasets to extract insights and improve model performance.

#AIFluent

U.S. National Base Pay Range: $115,400 - $192,300. 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.

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 please contact 1-855-833-5120.

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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.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field.
  • Strong experience in machine learning, NLP, and LLM-based modeling.
  • Proven experience designing and running experiments, including model evaluation and iteration.
  • Experience with generative AI techniques (e.g., prompt engineering, RAG).
  • Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.
  • Experience designing agentic workflows and applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.
  • Proficiency in Python and data analysis tools.
  • Ability to analyze large-scale legal datasets to extract insights and improve model performance.

LexisNexis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about LexisNexis and has not been reviewed or approved by LexisNexis.

  • Healthcare Strength Healthcare options are often described as comprehensive, spanning medical, dental, and vision coverage alongside life and disability protection. Wellbeing programming such as wellness initiatives and fitness support is also positioned as part of the overall package.
  • Retirement Support Retirement benefits are repeatedly framed as a meaningful component of total rewards through 401(k) matching and access to stock purchase opportunities. Performance bonuses and charitable matching are also included as financial-support features within the broader rewards mix.
  • Leave & Time Off Breadth Time-off offerings are portrayed as broad, including PTO, paid holidays, sick leave, and paid volunteer time. Flexible work arrangements, including remote options and flexible hours, further strengthen the overall rewards experience.

LexisNexis Insights

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The Company
HQ: New York City, NY
10,001 Employees
Year Founded: 1970

What We Do

LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets, monitoring their brands and competition, and in mitigating business risk. We collaborate with universities to educate students, and we support nation-building with governments and courts by making laws accessible and strengthening legal infrastructures. We partner with leading global associations and customers to collect evidence against war criminals and provide tools to combat human trafficking. LexisNexis Legal & Professional, which serves customers in more than 130 countries with 10,000 employees worldwide, is part of RELX Group, a global provider of information and analytics for professional and business customers across industries.

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