About the role
AI summarisedData Analytics Engineer/Data Scientist role at Dyson in Singapore - Technology Centre.
Consumer ElectronicsOnsite
Key Responsibilities
- Acquire, cleanse, and blend data from multiple sources—internal and external—to enable advanced analytics.
- Build and maintain scalable ETL processes and data models for dashboards, applications, and analytics projects.
- Design, develop, and deploy machine learning models and statistical analyses to address business problems.
- Support the BI function by powering dashboards, enabling self-service analytics, and managing business-facing applications.
Requirements
- , and offer actionable recommendations.
- Deliver end-to-end data solutions—from pipeline development and model training, to visualization and insight communication.
- Regularly explore new technologies and approaches in data engineering and data science.
- Person Specification / Core Competencies Minimum 5 years’ experience extracting, joining, and analyzing data, including supporting advanced analytics and modelling.