About this role
• Analyse large, complex datasets to identify patterns, trends, and actionable business insights. • Develop predictive models and machine learning solutions to address business challenges. • Prepare, clean, and transform structured and unstructured data for analysis and modelling. • Design statistical experiments and evaluate model performance using appropriate validation techniques. • Translate business requirements into data-driven analytical approaches and measurable outcomes. • Create dashboards, visualisations, and reports that clearly communicate findings to stakeholders. • Collaborate with cross-functional teams to integrate analytical solutions into business processes. • Monitor deployed models and refine them to maintain accuracy, reliability, and effectiveness. • Research emerging data science methods, tools, and technologies to improve analytical capabilities. • Present technical findings and recommendations in a clear, practical manner to both technical and non-technical audiences. Requirements • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline. • At least 3 years of experience in data science, statistical analysis, machine learning, or a similar analytical role. • Strong proficiency in Python or R, SQL, data preparation, statistical modelling, and machine learning techniques. • Experience with data visualisation tools, cloud platforms, big data technologies, and model deployment frameworks is preferred. • Excellent analytical thinking, problem-solving, communication, collaboration, and stakeholder management skills. Clarence Khoh R1552376
