Senior Data Scientist

Responsibilities: • Lead business insights through data structuring, data mining, predictive modeling, and advanced analytics. • Develop data and models for financial planning, business cases, stakeholder analysis, regulatory reporting, and decision-making. • Research and implement machine learning, deep learning, and AI techniques for efficient data analysis and model optimization. • Communicate complex data insights in a simple, actionable manner. • Visualize data effectively for projects and business studies. • Define requirements for training and improving deep learning models and algorithms. • Apply advanced data mining techniques to identify trends, patterns, and operational insights. • Integrate third-party data sources and improve data collection processes. • Process, cleanse, and validate data for accurate analysis. • Perform ad hoc analysis and present findings using data visualization tools. • Build automated anomaly detection systems and monitor their performance. • Design, test, and deliver data reports to support operational decisions. • Identify hidden relationships in large datasets using structured and unstructured data. • Utilize big data tools and techniques for analytics. • Train and mentor teams while advising management on maximizing data science capabilities. Education & Experience • Degree in mathematics, statistics, computer science, economics, engineering, operations research, decision science, or a related quantitative field. Master's or PhD preferred. • 5+ years of experience in advanced analytics, including predictive analytics, machine learning, deep learning, optimization, and risk simulation; 10+ years preferred.