Data Scientist

• Data Collection & Preparation o Gather data from multiple sources such as Salesforce, Life3, Snowflake, SQL, and other internal systems.
• o Cleanse and preprocess datasets to ensure accuracy and completeness.
• Analysis & Insights o Conduct campaign evaluations (Post Implementation Reviews - PIRs).
• o Perform customer segment analysis to identify high-risk groups.
• o Carry out cancellation analysis, including customer feedback and complaints, to identify common issues and root causes.
• Recommendations Development o Develop actionable recommendations and interventions aimed at reducing lapse rates.
• Reporting & Stakeholder Collaboration o Design and deliver dashboards and visualizations to monitor lapse rates and associated metrics.
• o Present insights and findings in a clear and actionable format for stakeholders.
• o Engage with management and cross-functional teams to communicate results and support decision-making.
• Predictive Modelling o Enhance and maintain the existing Lapse Propensity Model to improve accuracy and performance.
• o Monitor lapse-related KPIs and adjust models/strategies based on evolving data and trends.
• o Apply predictive techniques including logistic regression, decision trees, random forests, and other advanced machine learning algorithms.

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