Data Scientist

Our client, a leading Financial Services Company, seeks a motivated Data Scientist to analyze large-scale data, generate strategic insights, and support data-driven decisions that drive growth and revenue in a dynamic environment.

Responsibilities:-

Data Analytics & Strategic Insights

• Analyse large-scale banking transaction datasets to identify portfolio growth, revenue enhancement, customer engagement, and profitability opportunities
• Develop actionable insights across the cardholder lifecycle including acquisition, activation, spend growth, retention, attrition prevention, and customer value management
• Perform deep-dive analysis on portfolio trends, customer behaviours, merchant spend patterns, and market opportunities at market and group levels
• Translate complex analytics into clear, actionable business recommendations for senior management and executive stakeholders

Data Visualization & Automation

• Automate recurring reporting and analytical processes to improve efficiency and scalability
• Create reusable analytical assets, reporting templates, and insight-generation frameworks
• Facilitate discussions with senior business leaders to understand business challenges and define analytics priorities
• Present findings and recommendations to senior executives and decision-makers

Executive Reporting & Decision Support

• Produce senior management dashboards, business reviews, and strategic performance reports
• Develop executive-ready presentations highlighting portfolio performance, emerging trends, growth opportunities, and risk indicators
• Establish key performance indicators (KPIs) and performance measurement frameworks to support strategic planning and business reviews

Requirements:

• Bachelor’s or master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative discipline
• Minimum 3+ years of experience in advanced analytics, data science, business intelligence, or consulting analytics
• Proven experience working with large-scale datasets to develop business insights
• Advanced proficiency in Python, SQL, and data analytics methodologies
• Strong skills in statistical analysis and data visualization
• Experience developing executive-level presentations and reports