Company: LexisNexis Intellectual Property (LNIP) in Germany PatenSight GmbH

Position: Principal Data Scientist

Location: Bonn

Languages: German and English required

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.

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.  

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  

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.

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

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.

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