Data Scientist

Kotak Mahindra Bank; Bengaluru; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Kotak Mahindra Bank is seeking a seasoned Data Scientist to accelerate analytics across Retail Assets, Business Loans and Working Capital. You will deploy projects from concept to actionable insights, build credit risk scorecards, and develop models to optimize marketing campaigns and customer acquisition.

Collaboration with stakeholders is essential to drive value throughout the product lifecycle. The role emphasizes automation, scalability, and cross‑team collaboration to deliver measurable

Qualifications

• Master's or Bachelor's in a quantitative field (stats, econ, math, CS).
• 5–6 years of data science experience in banking/FS.
• Proficient in Python, SAS, SQL and ML/DL techniques.

Responsibilities

• Deliver end to end data science projects from requirements to deployment.
• Use regression, classification, clustering, tree methods, SVM, neural networks, recommender systems.
• Improve methodologies by new data sources and feature engineering.
• Define analytical capabilities, platforms, and pipelines requirements.
• Present insights to audiences with varying technical levels.
• Collaborate cross-functionally to automate scalable solutions.

Skills

Python

SQL

SAS

ML/DL

Education

Master’s or Bachelor’s in a quantitative discipline

Tools

Hadoop/Spark

SQL

Job description

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

• Masters 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