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 our Team
At LexisNexis Intellectual Property (LNIP), we aim to bring clarity to innovation by delivering better outcomes to the innovation community. We help innovators make informed decisions, be more productive, and achieve superior results, ultimately advancing humanity.
About the Role
As a Principal Data Scientist, you will be a key member of the LNIP Technology Team. Your primary responsibility will be to drive the strategic vision of Data Science and Machine Learning initiatives across the organization, ensuring alignment with organizational goals. You will lead development teams in research, design, and software development projects, providing direct input to plans, schedules, and methodologies
At RELX, we are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment, RELX has implemented the following initiatives:
Women in Technology (WiT) Mentoring Program: This program is tailored to enhance career development for female talent in tech roles across all our businesses.
Women’s Network Forum: We offer dedicated forums that foster community, mentorship, and professional growth for women.
Inspiring Future Talent: We actively engage with schools, hosting events to inspire young females to consider and pursue careers in technology.
Requirements
- Experience with domain expertise to capture current and likely market trends in discipline
- Experience with a strong attitude to possesses a holistic overview of adjacent disciplines, industries and domain
- Experience Evaluating and recommending ML tools, platforms, and frameworks.
- Assessing the risks associated with AI implementation, including bias, security, and compliance
- Strong aptitude to set the strategy and team direction; clear vision for Data Science
- Experience as the SME in Data Science
- Multiple years of experience managing larger technical teams (direct or indirect)
- Experiencing practices in the development and use of core processes
- Explores new best practices in non-standard coding languages
- Expert in relevant Data Science and/or Statistical frameworks
- Builds best-practices around the usage of Data Science and/or Statistical frameworks
- Experience Mentoring others in building models and using Data Science frameworks
Responsibilities
- Lead the development and implementation of advanced data analytics and machine learning models to solve complex business problems.
- Collaborate with cross-functional teams to identify data-driven opportunities and provide actionable insights.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
- Design and execute experiments to validate hypotheses and optimize model performance.
- Communicate findings and recommendations to stakeholders through clear and compelling data visualizations and presentations.
- Stay up-to-date with the latest industry trends and technologies to ensure the team remains at the forefront of data science innovation.
- Drive the adoption of best practices in data management, data governance, and data quality.
- Develop and maintain scalable data pipelines and infrastructure to support analytics and machine learning initiatives.
Work in a way that works for you
We promote a healthy work/life balance across the organisation. 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 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
Working for you
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
- Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
- Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
- Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
- Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
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.
LexisNexis, a division of RELX, is 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. 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: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.
Please read our Candidate Privacy Policy.

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