As an Analyst - Data Governance, you are responsible for hands-on execution and maintenance of our master data and for enforcing policies and processes around data attributes. You will be part of a business-enabling team that performs day-to-day activities
Requirements Proficiency in Python and PySpark for data analysis, machine learning, and demand forecasting (regression + time series models) Experience with forecasting models such as LightGBM/ XGBoost and classical time series methods (e.g., ETS/ARIMA) Strong understanding of
Duties & Responsibilities Apply knowledge of industrial product applications to classify, structure, and maintain product data across multiple industry verticals. Create and update accurate, complete, and consistent product information in alignment with the product roadmap, customer contractual
About our group: The ADG (Auto-Diagnostic Group) team develops and maintains automated failure-disposition technologies for HDD manufacturing. Our work ensures consistent accuracy, faster debug, reduced scrap, and improved operational efficiency across high-volume factories. We design rule-based
About our group: The ADG (Auto-Diagnostic Group) team develops and maintains automated failure-disposition technologies for HDD manufacturing. Our work ensures consistent accuracy, faster debug, reduced scrap, and improved operational efficiency across high-volume factories. We design rule-based
The LIMS Site Deployment SME plays a key role in Reckitt’s digital transformation agenda for the R&D function, enabling QC laboratories to transition to an effective, standardised Laboratory Information Management System (LIMS). The role works closely
The LIMS Associate – Site Deployment Support role contributes to Reckitt’s digital transformation across R&D by supporting QC laboratories transitioning to a standardised Laboratory Information Management System (LIMS). Working under the direction of the Site Deployment
Job Purpose and Impact The Supply Chain Planning Demand Planner II will help create all levels of demand plans for a group of products with medium planning complexity, including data inputs, statistical forecasting, incorporation of commercial intelligence
Requirements Proficiency in Python and PySpark for data analysis, machine learning, and demand forecasting (regression + time series models) Experience with forecasting models such as LightGBM/ XGBoost and classical time series methods (e.g., ETS/ARIMA) Strong understanding of
Job Description: 1. GRC Implementation - PMO / GRC Champion Act as the primary liaison with Group GRC COE and ensure alignment with group standards Oversee data governance, configuration integrity, and cross-entity consistency Monitor platform adoption, usage,