Manager - Data Science - Analytics - Mumbai - Lower Parel - JM

Main Accountabilities

• 1. 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

• 2. 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

• 3. 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

• 4. End-to-End Project Ownership
• • Own delivery of analytics projects from problem definition to implementation and monitoring
• • Manage timelines, stakeholder expectations, and delivery quality

• 5. 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

• 6. 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

• 7. 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