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We are searching for a dynamic Lead Data Scientist to join our team and evolve, build, and lead our portfolio of AI, Machine learning and sophisticated data science solutions. This position offers an outstanding opportunity to lead and develop some of the most exciting and challenging AI-led projects for Kantar and its clients, and make an impact in a fast-paced, entrepreneurial environment.
Job Responsibility:
Collaborate with the Chief AI Scientist and the Executive Committee to build an outstanding portfolio of AI-led solutions within KANTAR
Engage in several R&D efforts to demonstrate and develop new capabilities, algorithms, and technologies across the entire breadth of data science, including but not limited to Generative AI
Work closely with Engineering, Product, Operations, and Commercial teams to scale and commercialize the products and solutions you develop
Translate potential AI, ML and other data science ideas into concrete, scalable products
Work hands-on and lead a very hardworking, cross-functional, and geographical team with multifaceted strengths of data scientists
Serve as a representative and ambassador for data science, AI, and ML-led solutions with all collaborators
Requirements:
Advanced degree or equivalent experience from world-class technical institutes in relevant field
Demonstrated ability in Data science including traditional supervised and unsupervised machine learning methods, with some exposure to / experience in Generative AI in the last few years
Strong background in mathematics, probability, analytic problem solving and multivariate statistics
Confirmed experience of having led, or responsible for AI / ML product / solution development
Demonstrable experience in building and deploying applications on cloud platforms like Azure/AWS/Google Cloud using server-less architecture
Proficiency in tools such as Azure machine learning service, Amazon Sagemaker, Google Cloud AI
Proficiency with Python is critical
Ambitious, dedicated, curious, and entrepreneurial
Nice to have:
Experience in Agile working methodologies for product development
Has already worked in a Research and Development set-up or in a Product Development role
Excellent (English) communication skills to address both technical audience and business stakeholders
Comfortable working in global set-ups with diverse cross-geography teams and cultures
Technology savvy – closely follows the latest developments in Data Science and technology
Willing to try out new things and quickly prototype solutions
Has an ‘ideate-fast, test-fast, fail-fast, learn-fast’ attitude
Meticulous and deep attention to detail
Being able to straddle ‘big picture strategy’ and ‘tactical details’ with ease