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.