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Tier-1 brand in Bengaluru and visible senior ML role makes applicant competition moderate.
Role demands senior ML/AI expertise and CPG domain experience, limiting cross-industry transferability.
Explicit 10-year requirement plus senior domain and technical mandates enforces strict shortlisting.
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Lead data science innovation projects with focus on machine learning solutions impacting enterprise performance including trade promotion optimization, demand forecasting, and AI-driven insights.
Define and publish data science best practices; deliver PoCs and advise on scaling; oversee 3rd party vendors and build Unilever IP.
Manage and mentor a small team of data scientists (1 to 10); collaborate across technical CoEs and business stakeholders for transformation and business problem solving.
Bachelor's degree in a relevant technical field required; postgraduate degree preferred (Masters or Doctorate).
10 years of experience in data science solution building for business problems, preferably in Consumer Goods or similar industry (7-8 years with PhD).
Expertise in machine learning, statistical modelling, forecasting, optimisation, and operational knowledge of generative AI and agentic AI.
Proficiency in Python, modern data science platforms (MS Azure, GCP, Databricks), cloud-based architecture deployment, plus experience managing teams and vendors.
Deep expertise either in Forecasting and Optimization techniques or in Generative and Agentic AI development.
Strong stakeholder management and communication skills with ability to influence senior non-technical leaders.
Experienced managing small data science teams and navigating cross-functional governance in a complex enterprise environment.