Join us in shaping a more just world!
About our 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?
Do you enjoy coaching others to achieve high standards?
This is an exciting new opportunity for a Manager, Data Science – Agentic AI to lead the design and delivery of Agentic AI solutions within our Content Agentic Platform, enabling autonomous content creation and optimization to enhance customer engagement at scale.
Responsibilities:
Leading development of advanced AI Agentic tech.
Working closely with other data scientists and engineers to design, develop, and deploy AI solutions
Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs
Analyzing large datasets to identify patterns and trends that can inform AI development
Communicating findings and insights to stakeholders in a clear and concise manner
Staying current with the latest AI and machine learning trends and technologies
Mentoring junior data scientists and provide guidance on AI and machine learning best practices
Driving best practices across our data science functions
Setting strategy and team direction, with a clear vision for Data Science
Working with product leaders to apply data science solutions.
Evaluating and creating new frameworks and defining methodologies and governance
Leading small- to medium-sized teams (direct or indirect)
Setting a high bar for model development
Requirements:
3+ years of people management experience.
7+ years of AI/ML experience.
Significant experience in managing larger technical teams (direct or indirect)
Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues
Be a natural problem solver, able to take a lead in collaborating to resolve issues
Have excellent communication skills and the ability to convey information clearly to senior stakeholders
Highly Desired Skills and Experience:
Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests
Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
Experience with reinforcement learning, prompt engineering, hallucination mitigation
Working understanding of the business risks associated with applying LLM in a business
Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
Strong coding skills in Python or another programming language
Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders
Strong problem-solving skills and the ability to think outside the box
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
- 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 as a subject matter expert
- Natural problem solver and collaborative leader
- Excellent communication skills and ability to convey information to senior stakeholders
- PhD or Master's degree in Computer Science, Mathematics, Statistics, or related field
- 7-10+ years of experience in AI and machine learning
- Deep understanding of machine learning algorithms including deep learning, gradient boosting, and random forests
- Experience with Transformer architectures and LLMs (BERT, RoBERTa, T5) and working knowledge of ChatGPT, GPT-3.5, OPT, BLOOM
- Experience with reinforcement learning, prompt engineering, and hallucination mitigation
- Working understanding of business risks associated with applying LLMs in business
- Experience with large datasets and distributed computing systems (Hadoop, Spark)
- Strong coding skills in Python or another programming language
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
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.
.jpg)
