Manager - Data Science - Analytics - Mumbai - Lodha (I-Think Techno Campus) - JM 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 explicit and structured manner • Support decision-making through data-backed recommendations

📌 Data Science Manager - Analytics (Mumbai)
🏢 Tata Capital Finance
📍 Mumbai