Job Description

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

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