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1–2 jobs· newest first

Principal Data ScientistNew
Philips · Bangalore, India
On-site · Senior
Principal Data ScientistNew
Philips · Bangalore, India
On-site · Full-time · Senior

+10K new in the last hour

Principal Data Scientist

Philips · Posted Nov 13, 2026

Bangalore, India
On-site
Senior
9+ years

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AI

Apply on careers page

Lead advanced analytics, data science, and AI initiatives to drive commercial performance insights across multiple markets and business units.

Responsibilities

Translate leadership questions into analytics and AI solutions
Own performance-analytics foundation and data governance
Build and improve dashboards and analytics products
Develop predictive and diagnostic models
Design and deploy AI-enabled tools and conversational agents

Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Econometrics, Engineering, Mathematics or another quantitative discipline

Skills

Python SQL statistics data modelling data quality machine learning regression forecasting classification clustering anomaly detection model evaluation Generative AI LLMs prompt design retrieval-augmented generation AI-agent design BI and visualisation tools cloud data platforms data lakes enterprise data environments data governance model governance responsible AI deployment monitoring Circana GfK Nielsen IQVIA ADL BI tools

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Principal Data Scientist

Philips · Posted Nov 13, 2026

Bangalore, Karnataka, India
On-site
Full-time · Senior
9+ years

Apply with RefersoAI Apply on careers page

Lead advanced analytics, AI, and data science initiatives to drive commercial performance insights across Philips business units and regions.

Responsibilities

Partner with senior commercial stakeholders to translate business questions into analytics solutions
Own performance-analytics foundation and data governance
Build scalable dashboards and automated analytical workflows using SQL, Python and BI tools
Develop and deploy predictive and diagnostic models for commercial performance
Design and implement AI-enabled tools, Generative AI applications and conversational agents

Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Econometrics, Engineering, Mathematics or another quantitative discipline
Nice to have: additional education or hands‑on expertise in machine learning, GenAI, LLMs or AI‑product development

Skills

Python SQL statistics data modelling data quality

machine learning

anomaly detection

model evaluation

retrieval-augmented generation

AI-agent design

BI and visualisation tools

cloud data platforms

enterprise data environments

data governance

model governance

See full job description