Data Scientist

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

Skills
Python, SQL, Data Analysis, Generative AI, Process Improvement

Work arrangement
Hybrid