Are you ready for a leading role?
Would you enjoy working on our cutting-edge products?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://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
As a Manager, Data Science, you will be a subject matter expert, defining projects and their execution. Leading direct and indirect reports, you'll influence and mentor distributed teams in best practices and methodologies.
We are seeking candidates who are highly experienced in leading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.
Key Responsibilities
Lead the development of advanced AI and machine learning models to solve complex business problems.
Collaborate with other data scientists and engineers to design, develop, and deploy AI solutions.
Work with cross-functional teams to ensure AI solutions align with business goals and customer needs.
Analyze large datasets to identify patterns and trends that inform AI development.
Communicate findings and insights to stakeholders in a clear and concise manner.
Stay current with the latest AI and machine learning trends and technologies.
Mentor junior data scientists and provide guidance on best practices.
Drive best practices across data science functions.
Set strategy and team direction, with a clear vision for Data Science.
Work with product leaders to apply data science solutions.
Evaluate and create new frameworks, define methodologies and governance.
Lead small- to medium-sized teams (direct or indirect).
Set a high bar for model development.
Requirements
Substantial experience in a senior data scientist role.
Experience leading complex projects and customer relationships.
Significant experience managing larger technical teams (direct or indirect).
Experience mentoring or training others, acting as a subject matter expert.
Natural problem solver, able to lead collaboration to resolve issues.
Excellent communication skills, able to convey information clearly to senior stakeholders.
Highly Desired Skills and Experience
PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
5 + years of people management experience.
10 + years of experience in AI and machine learning.
Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.
Experience with design and delivery of Agentic AI solutions.
Experience with large language models and Transformer-based architectures.
Experience with reinforcement learning, prompt engineering, hallucination mitigation.
Understanding of business risks associated with applying LLMs.
Experience with large datasets and distributed computing systems (Hadoop, Spark).
Strong coding skills in Python or another programming language.
Excellent communicator, able to translate complex technical concepts to non-technical stakeholders.
Strong problem-solving skills and the ability to think outside the box.
Work in a Way That Works for You
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
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.
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Skills Required
- Substantial experience in a senior data scientist role.
- Experience leading complex projects and customer relationships.
- Significant experience managing larger technical teams (direct or indirect).
- Experience mentoring or training others and acting as a subject matter expert.
- Proven experience developing and deploying advanced AI and machine learning models.
- Deep understanding of machine learning algorithms and experience working with large datasets.
- Ability to set strategy, define methodologies and governance, and lead small- to medium-sized teams.
- PhD or Master’s in Computer Science, Mathematics, Statistics, or related field.
- 5+ years of people management experience.
- 10+ years of experience in AI and machine learning.
- Experience with deep learning, gradient boosting, and random forests.
- Experience with large language models and Transformer-based architectures.
- Experience with reinforcement learning, prompt engineering, and hallucination mitigation.
- Experience with agentic AI solutions.
- Experience with large datasets and distributed computing systems (Hadoop, Spark).
- Strong coding skills in Python or another programming language.
- Excellent communication skills and ability to convey complex concepts to non-technical stakeholders.
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.
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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.
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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.
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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
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.
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