AkzoNobel

Data Scientist

• Responsible for designing, developing, and deploying advanced analytics and machine learning solutions
• Translate business problems into data science use cases and define appropriate analytical approaches
• Design, build, and validate statistical and ML models (e.g., forecasting, classification, optimization, recommendation)
• Develop and maintain production-grade models with appropriate monitoring, retraining, and governance
• Explore and design solutions using Large Language Models (LLMs) and other GenAI capabilities
• Engage with business stakeholders to understand objectives, define success criteria, and prioritize use cases based on value and feasibility
• Lead or co-lead end-to-end data science projects: from ideation, scoping and estimation through development, testing, deployment, and post-go-live monitoring