Principal Manager-Data Science-SUPPORT SERVICES-Data And Analytics - In House Engineering

Kotak Mahindra Bank; Bengaluru; On-site; INR 700,000 - 1,200,000; Full time

Job summary

Kotak Mahindra Bank is seeking an experienced leader to drive Growth Analytics for Commercial Banking. You will leverage data, analytics, and ML to accelerate customer acquisition, portfolio growth, and cross-sell across the bank's commercial business.

The role demands business acumen and a proven track record of delivering measurable outcomes through data-driven decision making, partnering with multiple functions and mentoring a high-performing analytics team.

Qualifications

• 8+ years of experience in Analytics, Data Science, BI, or related roles.
• Experience in Banking/FS/Fintech/Commercial Banking preferred.
• Strong expertise in SQL, Python, data analysis, statistical modeling, and ML.

Responsibilities

• Lead analytics initiatives focused on customer acquisition, portfolio growth, cross-sell, retention, and RM productivity.
• Develop customer segmentation, propensity, lead prioritization, churn, and next-best-action models.
• Generate actionable insights from customer, transaction, and portfolio data to identify growth opportunities.
• Design and measure campaigns, sales interventions, and customer engagement programs.
• Build and maintain dashboards, KPI frameworks, and performance reporting.
• Collaborate with Business, Product, Risk, Technology, and Data teams on analytics solutions.
• Prioritize and execute analytics use cases aligned to business objectives.

Skills

SQL

Python

Data analysis

Statistical modeling

Machine learning

Leadership

Stakeholder management

Communication

Education

Bachelor's degree in Engineering/Statistics/Mathematics/Economics/CS

Master's degree preferred

Tools

None

Job description

Job Description:

Lead (AVP/VP) - Growth Analytics, Commercial Banking

Role Overview

We are seeking a highly analytical and business-oriented leader to drive Growth Analytics for the Commercial Banking business. Reporting to the Head of Analytics & Data Science, this role will be responsible for leveraging data, analytics, and machine learning to accelerate customer acquisition, portfolio growth, cross-sell, customer engagement, and sales productivity.

The ideal candidate combines strong analytical expertise with business acumen and has a proven track record of delivering measurable business outcomes through data-driven decision making.

Key Responsibilities

• Lead analytics initiatives focused on customer acquisition, portfolio growth, cross-sell, retention, and relationship manager productivity.
• Develop customer segmentation, propensity, lead prioritization, churn, and next-best-action models.
• Generate actionable insights from customer, transaction, and portfolio data to identify growth opportunities.
• Design and measure campaigns, sales interventions, and customer engagement programs.
• Build and maintain business dashboards, KPI frameworks, and performance reporting.
• Partner closely with Business, Product, Risk, Technology, and Data teams to deliver high-impact analytics solutions.
• Prioritize and execute analytics use cases aligned to business objectives and revenue outcomes.
• Lead and mentor a team of analysts and data scientists, promoting best practices in analytics and experimentation.

Qualifications

• 8+ years of experience in Analytics, Data Science, Business Intelligence, or related quantitative roles.
• Experience in Banking, Financial Services, Fintech, Lending, or Commercial Banking preferred.
• Strong expertise in SQL, Python, data analysis, statistical modeling, and machine learning.
• Experience developing customer analytics, growth models, campaign analytics, or portfolio analytics solutions.
• Proven ability to translate business problems into analytical solutions with measurable impact.
• Strong stakeholder management, communication, and team leadership skills.
• Bachelors degree in Engineering, Statistics, Mathematics, Economics, Computer Science, or a related discipline. Masters degree preferred.

What Success Looks Like

• Increased customer acquisition and portfolio growth through analytics-led interventions.
• Improved cross-sell, customer engagement, and relationship manager productivity.
• Scalable analytics solutions and models embedded into business processes.
• Measurable business impact through data-driven decisioning and experimentation.

Requirements: