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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
Eligibility typically includes the qualifications and experience outlined in the job description above, with around 0-5 Years years of relevant experience expected for this role.
The key responsibilities for this role are detailed in the Key Responsibilities section above, covering the core duties expected of a Manager - Data Science - Analytics - Mumbai - Lower Parel - JM at Tata Capital.
This role requires around 0-5 Years years of relevant experience, as specified in the job listing. Please refer to the Qualifications & Experience section above for full details.
Skills relevant to this position are outlined in the Qualifications & Experience section above. In general, strong communication, domain knowledge, and the ability to meet role-specific targets are valued across similar BFSI positions.
You can apply directly using the Apply Now button on this page, which will take you to Tata Capital's application process for this role.