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Manager - Data Science - Analytics - Mumbai - Lodha (I-Think Techno Campus) - JM

Tata Capital · Mumbai, Maharashtra, India

About Tata Capital

15 open jobs

Mixed hiring record · median 40 days open

8080

Hiring signal

Open

Still listed on the employer's own board · How we score

All reasons
  • Open 55 days
  • 27% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

Did you apply?

Manager - Data Science - Analytics - Mumbai - Lodha (I-Think Techno Campus) - JM at Tata Capital. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

  • 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 clear, 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 clear and structured manner
  • Support decision-making through data-backed recommendations

Skills

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