Data Scientist developing advanced analytical solutions for Kantar's Global Data Science and Innovation team. Collaborating on AI/ML projects to enhance organizational growth.
Responsibilities
Develop and integrate new features to enhance functionality in our products and models for internal and external users.
Champion best practices in software development within the team.
Write comprehensive tests and documentation to ensure reliability.
Create and maintain efficient pipelines and infrastructure for seamless deployment.
Deploy models into production, ensuring their stability and performance.
Collaborate with engineering teams to achieve cohesive organisational goals.
Share insights and innovative solutions within the AI/ML domain through cross-team collaboration.
Research new methodologies, techniques, and algorithms to keep our products best in class in the market.
Requirements
Proficiency in coding languages such as R and Python.
Strong knowledge of Statistical and Machine Learning models.
Familiarity with their applications to marketing, market research, or media measurement.
Experience with manipulation and maintenance of databases (e.g. SQL).
Ability to work effectively in global setups with diverse cross-geography teams and cultures.
Strong attention to detail and the ability to balance big-picture thinking with meticulousness.
Energetic, self-driven, curious, and entrepreneurial mindset.
Experience in developing and maintaining live products is desirable but not required.
Familiarity with cloud platforms like Azure, knowledge of Git, and containerization tools (e.g. Docker) are a plus.
Benefits
Equality of opportunity for everyone
Support for colleagues to work in a way that works for them
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