Job Description

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 transparent and structured manner
. Support decision-making through data-backed recommendations

📌 Manager - Data Science - Analytics - Mumbai - Lower Parel - JM
🏢 Tata Mutual Fund
📍 Mumbai