monitoring tools. Excellent problem-solving and troubleshooting skills. Strong interpersonal and communication skills for effective collaboration. Preferred but Not Essential: Experience with cloud platforms (AWS, Azure) or SaaS solutions. Basic scripting or programming skills (e.g., Python, PowerShell). Knowledge of EDI, APIs, or other data integration methods. Why Join? Competitive more »
pragmatic, cost-effective solutions. Hands-on experience with penetration testing across various cloud systems, applications, and complex infrastructures, including websites, APIs, O365, GCP, Azure, AWS, and mobile platforms (iOS/Android exposure is an advantage). Why Join Us? This is more than a role—it’s an opportunity to more »
business, identifying and suggesting new data sources and innovative approaches to enhance forecasting models. Strong technical expertise in SQL, Python (including key libraries) and AWS SageMaker is essential, with flexibility to use R or other tools where suitable. Responsibilities: Forecasting Model Development: Data Management: Model Selection and Validation: Model Deployment … and Maintenance: The successful Data Scientist will have Python and SQL for data analysis and machine learning. AWS SageMaker or other machine learning platforms. Ability to think strategically, suggest innovative data sources, and drive new ideas. Scenario-based modelling and complex "what if" analysis. Experience in manufacturing and/or more »
