Data Science & AI Lead

In This Role, You Will

• Oversee the performance of AI models, ensuring optimization of algorithms to produce accurate user recommendations, insights
• 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
• improve predictive accuracy. Direct data mining initiatives, including algorithm development, data collection
• 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
• validating system functionality and performance. Serve as an expert in AI DevOps practices and technologies, shaping methodologies and approaches to effectively manage, automate
• deploy AI models across development and production environments. Architect MVP applications that cover the entire lifecycle of AI model development, ensuring scalability, reliability
• 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
• recommending adoption strategies. Define data needs based on business strategy, developing acquisition plans, data management strategies
• governance frameworks to ensure data availability, quality
• integrity. Oversee the performance of the data and AI team, providing leadership, direction
• support to ensure the successful execution of projects, alignment with goals
• professional development. Manage talent across the team
• driving employee selection, performance management, compensation management, career development
• 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. 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 We are a health technology company. We built our entire company around the belief that every human matters
• 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.
• Learn more about our business .
• Discover our rich and exciting history .
• Learn more about our purpose . If you’re 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 here . #LI-Hybrid #LI-PHILIN