Senior Data Scientist

Job DescriptionREF19276ILabel Insight is part of the Brandbank division of NielsenIQ and plays a crucial part in how we digitise, enhance and distribute data to clients and the wider NielsenIQ business."¯To help achieve this, we work with open data ecosystems in the cloud. Our clients around the world rely on NielsenIQ''s data and insights to innovate and grow."¯As a Senior Data Scientist, you''ll be part of a team of smart, highly skilled technologists who are passionate about supporting and progressing leading edge solutions to meet our business requirements. You''ll help us continually advance our technology, applying data science and machine learning techniques to solve to novel business challenges.What You''ll DoCollaborate with software engineers, data scientists and a product managers to design, build, implement and maintain complicated data science and deep learning based systems (image processing, data extraction, data recognition, data prediction, suggestions, data optimization). Work with engineering leadership to plan strategic technologies and solutions. Work closely with operations and subject matter experts to optimize internal processes and/or build customer facing solutions. Host solutions in cloud computing platforms (Amazon Web Services, Google Cloud Platform).Move rapidly towards strategic goals, our team pushes code over 50 times a day. Assist push the department forward by introducing cutting edge technologies, teach other data scientist how to use them and building cutting edge solutions. We''re Looking For People Who Have4-8 years of relevant work experience in data analysis or related fields. (e.g., as a statistician / data scientist / computational biologist / bioinformatician / machine learning engineer). Experience with statistical software (e.g., R, Python, Julia, MATLAB, pandas) and databases (e.g., MySQL, PostgeSQL, Graph Databases, NoSQL, DyanmoDB). Relevant work experience building, designing and maintaining complex machine learning solutions (e.g., Optical Character Recognition, Computer Vision, Natural Language Processing, Named Entity Recognition, Data Mining, Machine Intelligence) Experience with deep learning techniques (CNN, RNN, LSTM, GAN, Gradient Descent, Auto-Encoders). Experience with cloud computing and containerization (Docker, Google Cloud Platform, Amazon Web Services, Microsoft Azure, Heroku). Experience mentoring junior data scientists. BS degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, statistical engineering, mathematics, physics, electrical engineering, industrial engineering). Any experience with nutritional science and the product marketing domain would be highly advantageous. About NielsenIQAdditional InformationNielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what''s happening now, what''s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That''s why you can find us at work in over 90 countries, covering more than 90% of the world''s population. For more information, visit .NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

Created: 2025-11-15