Senior Data Scientist III

Posted Yesterday
Be an Early Applicant
Raleigh, NC, USA
In-Office
115K-192K Annually
Senior level
Information Technology • Legal Tech • Analytics
The Role
Develop and deploy advanced AI, machine learning, deep learning, and NLP models for complex legal-data problems. Build legal reasoning, question-answering, drafting, predictive, recommendation, and document-classification systems. Design production APIs, scale data and ML infrastructure, collaborate cross-functionally, and mentor junior data scientists. The role requires expertise with large datasets, LLMs, distributed computing, cloud platforms, and MLOps.
Summary Generated by Built In

  • RELX Inc. d/b/a LexisNexis USA
  • Senior Data Scientist III
  • Venture III, 900 Main Campus Drive, Raleigh, NC 27606

JOB DESCRIPTION:

  • Contribute to new product development by proposing data-driven solutions for complex customer challenges, using advanced analytical techniques and become subject matter experts. Collaborate with other data scientists and engineers to design cutting-edge AI solutions utilizing leading AI and machine learning model development, analyzing extensive datasets, and guiding junior team members. Work closely with other data scientists and engineers to design, develop, and deploy AI solutions. Lead the development of advanced AI and machine learning models to solve complex business problems. Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models a very large corpus of data. Collaborate with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs. Mentor junior data scientists and provide guidance on AI and machine learning best practices. Design APIs for disseminating data science outputs to various business units. Oversee the scaling of production systems to meet growing demands. Perform other duties as needed.

REQUIREMENTS:

  • Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Systems, or a related field required.
  • 3 years of experience in job offered or related occupations required.
  • Also required is: 3 years of experience: using Natural Language Processing (NLP), including Large Language Models (LLMs) to aid computers in retrieving, reading, summarizing, and understanding large amounts of legal text so legal professionals can easily find the information they need; utilizing Machine Learning and Deep Learning to build complex legal reasoning and question answering systems; using Data science and statistical modeling on large, complex datasets to build legal drafting agents that can prepare legal drafts for lawyers; using Design and development of production-grade APIs for AI/ML models to develop predictive models that identify patterns in legal data to predict related cases, recommending relevant authorities, or detecting document types; and using Scalable data/ML systems including distributed computing, cloud platforms, and MLOps.
  • Employee reports to RELX, Inc. d/b/a LexisNexis USA office in Raleigh, NC, but may telecommute from any location within the U.S.
  • Experience can be concurrent.

SALARY RANGE FOR REQ# R119639:

  • $179,025.00 to $192,300.00/year + standard company benefits
  • This salary range is specifically for REQ# R119639. Salary range listed below is general and covers all similar positions in the area and should not be considered for this specific position.

 

HOW TO APPLY:

  • Interested candidates should send email to [email protected] and reference job code: R119639

#LI-DNI

#IND-DNS

#ICT


U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.

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.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

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

  • Master's degree or foreign equivalent in Computer Science, Computer Engineering, Information Systems, or a related field
  • 3 years of experience in the job offered or related occupations
  • 3 years of experience using Natural Language Processing, including Large Language Models, for large-scale legal text understanding
  • 3 years of experience using Machine Learning and Deep Learning to build legal reasoning and question-answering systems
  • 3 years of experience applying Data Science and statistical modeling to large, complex datasets for legal drafting agents
  • 3 years of experience designing and developing production-grade APIs for AI/ML models and predictive legal-data systems
  • 3 years of experience with scalable data and machine learning systems, including distributed computing, cloud platforms, and MLOps

RELX Compensation & Benefits Highlights

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

  • Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
  • Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
  • Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.

RELX Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: London
10,001 Employees
Year Founded: 1880

What We Do

RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.

Similar Jobs

LexisNexis Logo LexisNexis

Senior Data Scientist

Information Technology • Legal Tech • Professional Services • Analytics • Business Intelligence
In-Office
Raleigh, NC, USA
10001 Employees
115K-192K Annually

Applied Systems Logo Applied Systems

Enterprise Account Executive

Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Remote or Hybrid
2 Locations
3116 Employees
200K-200K Annually

PwC Logo PwC

Managed Services - SAP RISE/CALM - Manager

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Hybrid
61 Locations
370000 Employees
99K-232K Annually

PwC Logo PwC

SAP Core Finance EUR Director

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Hybrid
61 Locations
370000 Employees
155K-410K Annually

Similar Companies Hiring

NODA AI Thumbnail
Artificial Intelligence • Information Technology • Software • Cybersecurity
Sydney, AU
54 Employees
Legora Thumbnail
Artificial Intelligence • Legal Tech • Software
New York, New York
900 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account