Principal Data Scientist
Are you looking to develop your Data Scientist career? Would you like to be part of a team that innovates using technology? About our Team: At LexisNexis Intellectual Property Solutions, our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. Each and every day, the work our team does supports the development of new technologies and processes that ultimately advance humanity. Helping our customers reach their goals is our primary focus. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations and ultimately achieve superior results. Our overall success is measured by how well we deliver these results. We are proud to directly support and serve these innovators in their endeavors to better humankind. 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. 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.
- Demonstrated ability to apply Machine Learning, Natural Language Processing, Data Mining, and/or Statistical methods to build advanced data models, including predictive and prescriptive modelling.
- Proficiency in training large-scale models using modern deep learning engines such as TensorFlow, Keras, PyTorch, MXNet, or Caffe.
- Understanding of machine learning, natural language processing, and deep learning.
- Experience with cloud-based AI services and platforms.
- Knowledge of regulatory frameworks related to AI (e.g., GDPR, CCPA).
- Experience as the SME in Data Science
- Multiple years of experience managing larger technical teams (direct or indirect)
- Generous holiday allowance with the option to buy additional days
- Health screening, eye care vouchers and private medical benefits
- Wellbeing programs
- LifeAssurance
- Access to a competitive contributory pension scheme
- Save As You Earn share option scheme
- Travel Season ticket loan
- Electric Vehicle Scheme
- Optional Dental Insurance
- Maternity, paternity and shared parental leave
- Employee Assistance Programme
- Access to emergency care for both the elderly and children
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
- Access to employee discounts scheme via Perks at Work
- Company
- Disability Solutions
- Location
- London, UK
- Posted
- Company
- Disability Solutions
- Location
- London, UK
- Posted