Principal Data Scientist
Philips (company site, opens in a new tab)8–12 yrsBengaluruOn-siteDirect career pageEst. 40–75 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Own performance analytics for assigned Businesses and Regions, turning market and commercial data into trusted insights, executive recommendations and business actions.
- Own syndicated-data quality and governance, and develop scalable dashboards and analytics products that reduce manual and duplicate reporting.
- Build and deploy predictive models, GenAI applications and AI agents for diagnostics and decision support; drive adoption and track business impact.
Minimum Requirements
- Work Experience Required: Approximately 8–12 years in performance/commercial analytics, data science, decision intelligence, business intelligence or a related field.
- Proven experience using syndicated market or sell-out data, such as Circana, GfK, Nielsen, IQVIA or equivalent.
- Hands-on expertise in Python and SQL, machine learning, and Generative AI/LLMs; experience building and deploying analytics products, models or AI-enabled tools.
- Bachelor’s or Master’s degree in a quantitative discipline such as Computer Science, Data Science, Statistics, Engineering or Mathematics.
Ideal Candidate Profile
- Combines commercial and financial understanding with the ability to connect analytics to clear decisions and executive-level recommendations.
- Has operated across multiple markets, categories or Business Units in a complex organisation, influencing senior commercial stakeholders.
- Has taken analytical or AI solutions from problem framing through deployment and adoption, balancing rapid prototyping with reliable, governed products.