Manager - Data Science

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Business Problem Understanding Approach Development

• Engage stakeholders to understand problem statements
• Participate in cross-functional discussions to understand processes and identify analytical opportunities
• Translate business requirements into structured analytical approaches and solution frameworks
• Model Development Analytical Solutions
  • Apply appropriate statistical and machine learning techniques to solve business problems
  • Ensure models are robust, interpretable, and aligned with business use
• Business Analysis Insight Generation
  • Conduct detailed data analysis to identify trends, patterns, and performance gaps
  • Generate insights to support decision-making across lifecycle stages
  • Translate analytical outputs into clear, actionable business recommendations
• End-to-End Project Ownership
  • Own delivery of analytics projects from problem definition to implementation and monitoring
  • Manage timelines, stakeholder expectations, and delivery quality
• Model Scoring Performance Tracking
  • Perform regular model scoring (monthly / periodic) to classify accounts into categories such as high, medium, and low risk
  • Track model performance and stability over time
  • Identify shifts in model behaviour and recommend recalibration where required
• Implementation Deployment Coordination
  • Work closely with IT and data teams to deploy models into production systems
  • Ensure smooth integration of models into business processes and workflows
  • Validate outputs post-deployment to ensure accuracy and usability
• Stakeholder Communication Presentation
  • Present analysis, models, and insights to business and functional stakeholders
  • Explain methodologies and outputs in a clear and structured manner
  • Support decision-making through data-backed recommendations

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