development in the form of thought leadership, market indicators, and analytical tools. You'll work across both traditional and cloud-based platforms, using your expertise in big data processing, statisticalanalysis and machine learning to deliver scalable and meaningful outcomes. Key responsibilities As a Data Scientist you will Promote data governance, security, and best practices in managing large … closed with business stakeholders to understand data requirements and translate them into technical solutions. Ensure deployment and operationalization of both traditional and cloud applications. Participate in scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment. Provide technical expertise and ownership in the diagnosis and resolution of issues, including the determination and More ❯
Effectively communicate and educate other engineers in the theory and best practices of the application of AI. Evaluate and select AI algorithms and tools appropriate for specific problems. Perform statisticalanalysis and tuning to ensure implemented algorithms are producing accurate results. Reporting and documenting on AI processes and results. Participate in code reviews, testing, and debugging to ensure More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Cadence Design Systems
Effectively communicate and educate other engineers in the theory and best practices of the application of AI. Evaluate and select AI algorithms and tools appropriate for specific problems. Perform statisticalanalysis and tuning to ensure implemented algorithms are producing accurate results. Reporting and documenting on AI processes and results. Participate in code reviews, testing, and debugging to ensure More ❯
Requirements Bachelor's degree in a related field or equivalent experience. Proven experience in quality assurance within an electronics manufacturing environment. Working knowledge of quality improvement, problem-solving, and analysis techniques Strong verbal and written communication skills for internal and external engagement. Strong interpersonal skills for collaboration with all company areas and external bodies. Proficiency in spreadsheets and statisticalanalysis, including data collection and management. Excellent attention to detail and problem-solving skills. Strong planning, organisation, and critical/logical thinking abilities. Teamwork, collaboration, and facilitation skills to resolve issues and lead continuous quality improvement. Knowledge of electronic component reliability and failure mechanisms is highly desirable If you are interested in the role of Quality Assurance Manager More ❯
