Lead Data Scientist

Job Description

Job title:
Lead Data Scientist

Philips Personal Health is transforming its Integrated Supply Chain (ISC) Analytics landscape into a connected, AI-enabled, enterprise-scale analytics ecosystem powered by Azure Data Lake (ADL), advanced analytics, and AI.

As part of this transformation, we are looking for a highly hands-on Lead Data Scientist to help build the next generation of Supply Chain Analytics and Decision Intelligence capabilities.

This role is ideal for someone who enjoys solving complex business problems using data, analytics, machine learning, and scalable data ecosystems. The role will work closely with Supply Chain, Commercial Analytics, Digital & IT, and Data Engineering teams to develop advanced analytics solutions and scalable AI-driven capabilities across the ISC domain.

Unlike traditional reporting-focused analytics roles, this position requires strong technical depth, strong problem-solving capability, and the ability to work directly with enterprise-scale datasets, modern cloud data platforms, and advanced analytics methodologies.
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Your role:

Advanced Analytics & Data Science
Develop advanced analytics and machine learning solutions across ISC domains including:
Fill Rate
Inventory optimization
Demand forecasting
Stock health analytics
Supply-demand balancing
Order management analytics
Service level analytics
Build predictive and prescriptive analytics models to improve operational and commercial decision-making.
Perform deep-dive root cause analysis across supply chain and customer performance metrics.
Support simulation and scenario-based analytics to enable proactive business decisions.
ADL & Enterprise Data Ecosystem
Work closely with Data Engineering and Digital & IT teams on ingestion and transformation of ISC data into the PH Azure Data Lake ecosystem.
Support development of scalable Bronze-Silver-Gold data models and reusable analytics layers.
Contribute to building standardized and scalable data foundations across ISC analytics.
Ensure high data quality, consistency, and reliability across analytics solutions.
AI & Automation
Support development of AI/GenAI-enabled analytics capabilities and decision support systems.
Contribute to intelligent automation initiatives across analytics workflows.
Help enable conversational and agentic AI use cases within supply chain analytics ecosystems.
Support scalable semantic modeling and analytics enablement initiatives.
Analytics Product Development
Design and develop scalable analytics solutions, dashboards, and decision-support tools.
Translate business requirements into analytical frameworks and technical solutions.
Work with cross-functional stakeholders to identify high-impact analytics opportunities.
Contribute to continuous improvement and modernization of existing analytics solutions.

You're the right fit if:

Advanced Analytics & Data Science
Develop advanced analytics and machine learning solutions across ISC domains including:
Fill Rate
Inventory optimization
Demand forecasting
Stock health analytics
Supply-demand balancing
Order management analytics
Service level analytics
Build predictive and prescriptive analytics models to improve operational and commercial decision-making.
Perform deep-dive root cause analysis across supply chain and customer performance metrics.
Support simulation and scenario-based analytics to enable proactive business decisions.
ADL & Enterprise Data Ecosystem
Work closely with Data Engineering and Digital & IT teams on ingestion and transformation of ISC data into the PH Azure Data Lake ecosystem.
Support development of scalable Bronze-Silver-Gold data models and reusable analytics layers.
Contribute to building standardized and scalable data foundations across ISC analytics.
Ensure high data quality, consistency, and reliability across analytics solutions.
AI & Automation
Support development of AI/GenAI-enabled analytics capabilities and decision support systems.
Contribute to intelligent automation initiatives across analytics workflows.
Help enable conversational and agentic AI use cases within supply chain analytics ecosystems.
Support scalable semantic modeling and analytics enablement initiatives.
Analytics Product Development
Design and develop scalable analytics solutions, dashboards, and decision-support tools.
Translate business requirements into analytical frameworks and technical solutions.
Work with cross-functional stakeholders to identify high-impact analytics opportunities.
Contribute to continuous improvement and modernization of existing analytics solutions.
Candidate Profile
Required Experience
5u20138 years of experience in Data Science, Advanced Analytics, Supply Chain Analytics, or related domains.
Strong hands-on experience working with large and complex datasets.
Experience building predictive models, machine learning solutions, and advanced analytical frameworks.
Experience working in cloud-based data ecosystems and enterprise analytics environments.
Strong problem-solving mindset with ability to translate business problems into analytical solutions.
Ability to work in highly collaborative and cross-functional environments.
Required Technical Expertise
Python
SQL
Databricks
Azure Data Lake (ADL)
Machine Learning & Statistical Modeling
Forecasting & Optimization techniques
Data wrangling and feature engineering
Dashboarding and analytics visualization tools
Advanced analytical problem solving
Experience with AI/GenAI frameworks is a strong plus
Preferred Experience
Experience in Supply Chain Analytics, Operations Analytics, or Commercial Analytics.
Experience working with enterprise-scale data models and modern cloud architectures.
Familiarity with semantic layers, reusable data products, and scalable analytics ecosystems.
Exposure to AI-enabled analytics or agentic AI frameworks.
Experience working in global matrix organizations.

Key Competencies

Strong analytical and quantitative mindset
Highly hands-on and execution-oriented
Curiosity-driven problem solving
Ability to simplify complex analytical findings
Strong communication and collaboration skills
Learning agility and growth mindset
Strong ownership and accountability
What Success Looks Like
High-quality and scalable analytics solutions delivered into production.
Faster and more reliable decision-making enabled through advanced analytics.
Improved visibility into supply chain performance drivers.
Strong contribution toward enterprise ADL and AI transformation initiatives.
Increased automation and intelligence across ISC analytics workflows.

How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the companyu2019s facilities.
Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 locations.
This role is an office role.

About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care .