Data Science & AI Lead

As a Data Science & AI Lead within Philips, you play a key role in translating business challenges into scalable data- and AI-driven solutions. You operate at the intersection of business, data engineering, and advanced analytics, combining strong technical expertise with stakeholder engagement. In this role, you are responsible for shaping, delivering, and operationalizing AI solutions that create tangible value for Philips Businesses, Functions, customers, and ultimately patients. You contribute hands-on to solution design and delivery, while guiding teams and partners to ensure robustness, scalability, and alignment with enterprise standards.

Your Role:

In this role, you will:

• Oversee the performance of AI models, ensuring optimization of algorithms to produce accurate user recommendations, insights, and outputs that align with business objectives and needs.
• Lead statistical analysis and fine-tuning of AI models using test results and validation techniques to validate assumptions, optimize model parameters, and improve predictive accuracy.
• Direct data mining initiatives, including algorithm development, data collection, and preprocessing activities, throughout the design and implementation phases, ensuring high-quality and relevant data.
• Drive the deployment and testing of AI solutions and insights, overseeing implementation efforts, conducting rigorous testing procedures, and validating system functionality and performance.
• Serve as an expert in AI DevOps practices and technologies, shaping methodologies and approaches to effectively manage, automate, and deploy AI models across development and production environments.
• Architect MVP applications that cover the entire lifecycle of AI model development, ensuring scalability, reliability, and performance optimization from initial prototyping to final deployment.
• Evaluate emerging open-source data science and machine learning libraries, assessing their suitability and potential impact on AI initiatives, and recommending adoption strategies.
• Define data needs based on business strategy, developing data management strategies and governance frameworks to ensure data availability, quality, and integrity.
• Oversee the performance of the data and AI team, providing leadership, direction, and support to ensure the successful execution of projects, alignment with goals, and professional development.
• Manage talent across the team, while driving employee selection, performance management, compensation management, career development, and ensuring effective operational management.

You're the right fit if you have:

• A Bachelor's / Master's Degree in Computer Science, Information Management, Data Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent.
• Minimum 8 years of experience in areas such as Data Handling, Data Analytics, AI Modeling or equivalent.
• Thorough understanding of the Azure stack and preferably AWS.
• Proven experience in design and execution of exploratory data analyses and in generation of data insights.
• Proven experience in design and implementation of data solutions based on LLM, ML and/or GenAI.
• Experience in using programming languages such as Python, R, JAVA & C/C++. You have experience with Databricks, Github, Pyspark and Sequel or comparable.
• Current residence in the Netherlands.

Preferred Skills:

• Statistical Methods
• Data Harmonization & Processing
• Model AI technologies (LLM, Agentic AI)
• Algorithm Development
• Azure DevOps
• Data Governance
• API Integration
• Data Engineering
• Regulatory Requirements
• Stakeholder Management
• Cloud technology, preferably acquainted with both AWS and Azure

How we work together

We believe that we are better together than apart. This is an office-based role and this means working in-person at least 3 days per week.

About Philips

Philips is a health technology company focused on improving access to quality healthcare. In this role, you will help create meaningful impact for customers and patients.

If you’re interested in this role and have many, but not all, of the experiences needed, you may still be the right candidate for this opportunity at Philips.