Data Scientist

Data Scientist Job Description Data Scientist We're seeking with strong expertise in Agentic AI, Generative AI , Machine Learning, Predictive modelling, time-series analysis, longitudinal pattern mining to join our team. In this role, you will design and build innovative and ethically responsible AI solutions that effectively address real-world problems, balancing technical feasibility with user needs and business impact.

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. • 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-PHILIN

Responsibilities

• Design, train, and evaluate LLM-based solutions for various use cases, including retrieval-augmented generation (RAG), information retrieval & search, chatbots, structured information extraction and named entity recognition, text generation, summarization, and more Design, develop, and deploy a Machine Learning, Predictive modelling.
• Design, develop, and deploy agentic AI systems and autonomous AI workflows using large language models and advanced reasoning architectures Perform the time-series analysis, longitudinal pattern mining on the data sets.

Perform the Research & Analysis (Example literature survey)

• Clean, preprocess, and curate data for evaluation, fine-tuning, and training
• Work closely with stakeholders across the organization to understand business needs, formulate problems, and deliver data-driven insights
• Keep up the latest advancements in generative AI research and integrate new techniques into the development process

Requirements

• You hold a master’s or Ph.D. in Computer Science, Data Science, or a related field
• You have at least five years hands-on experience developing AI/ML systems, with significant experience in LLMs, Generative AI, or AI agents in a professional or enterprise environment
• You are proficient in Python and relevant libraries for data science and deep learning (e.g., NumPy, Pandas, TensorFlow, PyTorch) You have a strong understanding of classic NLP and LLM-based approaches and hands-on experience with LLM-based architecture, such as RAG, prompt engineering, data synthesis, automatic evaluation, fine-tuning and agent frameworks Hands-on experience building and then iteratively refining model pipelines end-to-end, from data curation to evaluation
• Experience with at least one GenAI platform (AWS Bedrock, Co-pilot, OpenAI, etc) Excellent communication skills and a collaborative mindset are essential
• Strong analytical and problem-solving skills, with attention to detail, round out your profile

Preferred

Familiar with cloud computing platforms

• Data Analysis & Interpretation Prompt Engineering Agentic AI Generative AI Predictive modelling Time-series analysis
• Longitudinal pattern mining.
• Data Governance Statistical Methods Statistical Programming Software Business Intelligence Tools Data Mining Machine Learning Engineering Fundamentals Machine Learning & Deep Learning Model Development & Deployment Research & Analysis Requirements Analysis Root Cause Analysis (RCA) Data Quality Management Systems Regulatory Compliance 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 company’s facilities.
• Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
• This role is an office-based role.