Data Science Manager
Unilever (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead and manage end-to-end delivery of data science products within the Customer Development portfolio, ensuring solutions are scalable, robust, and production-ready on cloud platforms like Azure and Databricks.
- Own and shape the technical roadmap aligning data science initiatives to commercial priorities and business outcomes, setting standards across classical statistics, machine learning, and emerging AI technologies.
- Coach and develop a team of data scientists, fostering technical growth, career progression, and a culture of ownership and continuous improvement.
Minimum Requirements
- Degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, or a related discipline.
- Proven experience delivering complex analytics initiatives in commercial or product-driven environments.
- Technical expertise with time series forecasting, econometric modelling, simulation & optimization, and familiarity with agentic AI tools such as SQL assistants and Retrieval-Augmented Generation pipelines.
- Strong programming and cloud experience (Python, Spark, Databricks, Azure); work experience required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced data science leader capable of balancing hands-on technical delivery with people management and cross-functional stakeholder partnership.
- Strategic thinker with ability to prioritize initiatives based on business impact, skilled in translating complex analytics into actionable insights for senior stakeholders.
- Experienced working in fast-paced, global teams with a focus on production deployment of AI/ML solutions adhering to high data governance and ethical standards.