# 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.
## Your Responsibilities:
- 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
- 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
- Architect MVP applications that cover the entire lifecycle of AI model development, ensuring scalability, reliability, and performance optimization
- Evaluate emerging open-source data science and machine learning libraries, assessing their suitability and potential impact on AI initiatives
- Define data needs based on business strategy, developing acquisition plans, data management strategies, and governance frameworks
- Oversee the performance of the data and AI team, providing leadership, direction, and support
- Manage talent across the team, driving employee selection, performance management, compensation management, and career development
## Requirements:
- 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 generation of data insights
- Proven experience in design and implementation of data solutions based on LLM, ML and/or GenAI
- Experience with Programming languages such as Python, R, JAVA & C/C++
- Experience with Databricks, Github, Pyspark and SQL or comparable tools
- 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 (AWS and Azure)
This is an office-based role requiring in-person work at least 3 days per week.