Data Scientist

Kotak Mahindra Bank; Bengaluru; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Kotak Mahindra Bank's Risk Data Science team in Bengaluru accelerates growth across Retail assets, business loans and working capital by applying advanced analytics to optimize marketing and customer acquisition, engagement and retention.

This Data Scientist role covers end-to-end project delivery, feature engineering, credit risk scorecards, behavioral models, automation, and collaboration with stakeholders to drive actionable insights and improve operational efficiency.

Qualifications

• Master's or Bachelor's degree in a quantitative field (Statistics, Economics, Mathematics, CS).
• 5-6 years of Data Scientist experience, preferably in banking/financial services.
• Strong coding skills in Python, SAS, SQL.
• Hands-on ML/DL algorithms expertise.
• Experience with large data sets and scalable solutions.

Responsibilities

• Deliver end-to-end Data Science projects from requirements to deployment.
• Apply AI, ML, DL techniques (regression, classification, clustering, tree-based methods, SVM, neural nets) to business problems.
• Improve methodologies by creating new data sources and tuning model parameters.
• Provide requirements to develop analytical capabilities, platforms, and pipelines.
• Present insights to audiences with varying levels of technical sophistication.
• Automate processes to scale solutions with cross-functional teams.
• Handle data extraction, transformations, and loading from source systems to analytics products.
• Curate new data sources to deliver actionable insights beyond data reporting.

Skills

Analytical skills

Communication skills

Team player

Independence

Interpersonal skills

Problem-solving

Education

Master's or Bachelor's in quantitative discipline

Tools

Python

SAS

SQL

Job description

The Risk Data Science team in Kotak Mahindra Bank accelerates and drives growth for Retail

Assets / Business Loans / Working Capital products. The team collaborates with stakeholders

and data providers, leveraging advanced analytics and modeling techniques to drive strategic

decision-making and optimize marketing campaigns. The core work charter includes

supporting different products under Retail assets / Business Loans / Working Capital by

developing solutions across the customer journey to drive Acquisition, Engagement and

Retention using cutting-edge Data Science capabilities and Data platforms.

The Data Scientist role within the team involves deploying projects from conception to

actionable insights, developing credit risk scorecards, building behavioral models and impact

in the banking business. This role focuses on leveraging data science techniques for model

development, driving automation, process improvement, and operational efficiency while

demonstrating innovative thinking, passion for data science and fostering cross-team

collaboration. Establishing strong working relationship with stakeholders in the bank is also a

key aspect of this role.

Roles and Responsibilities:

• Deliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering, building and validating predictive models, explaining model results & insights and deployment
• Use AI, ML, DL techniques such as regression, classification, clustering, tree-based algorithms, support vector machine, and neural networks, recommender system, attribution modelling to address business problems
• Improve upon existing methodologies by developing new data sources/features, testing model enhancements, and fine-tuning model parameters
• Provide requirements to develop analytical capabilities, platforms, and pipelines
• Present insights and recommendations to audiences of varying levels of technical sophistication
• Automate processes to ensure scalability of solutions by collaborating with cross functional teams
• Perform the data extraction, transformations, and loading from the source systems and the data lake to the analytics products using independently developed logic
• Challenge the status quo with entrepreneurial innovation in curating new data sources, elevating analytics beyond data reporting and dashboarding to deliver actionable insights

Skill requirements:

• Master's or Bachelor's Degree in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science)
• At least 5-6 years of experience as a Data Scientist preferably in the banking or financial services sectors
• 4+ years of coding skills in Python, SAS, SQL
• Deep understanding and hands-on experience with ML/DL Algorithms
• Experience of working with large data sets and developing scalable solutions
• Knowledge of Marketing, Risk, Business, Banking and Financial services, E-Commerce is preferred
• Ability to work independently and deal with ambiguity
• Strong analytical and problem-solving skills
• Excellent presentation and strong written & verbal communication skills
• Knowledge of Banking products, Marketing strategies and Generative AI is a plus
• Highly motivated and collaborative team player with strong interpersonal skills