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Lead Data Scientist at Philips - ApplyBlast

Lead Data Scientist

Philips

5 months ago

3.8 on Glassdoor

Hybrid

Full Time

Senior

0 applicants

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About this role

This role serves as a Lead Data Scientist within Philips Personal Health, driving the transformation of the enterprise supply chain analytics landscape into an AI-enabled ecosystem powered by Azure Data Lake. The position focuses on developing advanced machine learning solutions for demand forecasting, inventory optimization, and decision intelligence while collaborating closely with data engineering and commercial teams. Candidates will design scalable data models, build predictive frameworks, and enable intelligent automation across the integrated supply chain domain.

Responsibilities

Develop advanced machine learning solutions for supply chain optimization
Build scalable Azure Data Lake models and reusable analytics layers
Design predictive and prescriptive analytics models for decision-making
Collaborate with data engineering teams on enterprise data ingestion
Enable conversational and agentic AI use cases within analytics workflows

Skills

Qualifications

5–8 years of experience in Data ScienceStrong proficiency in Python and SQLExperience with Machine Learning and Statistical ModelingHands-on experience in cloud-based data ecosystems, specifically Azure

About Philips

philips.com

Headquarters

Amsterdam, North Holland, Netherlands

Company Size

10001+ employees

Founded

1891

View Profile

Learn more about Philips and how we help improve people’s lives through meaningful innovation in the areas of Healthcare, Consumer Lifestyle and Lighting.