Senior Data Scientist

Kotak Securities Limited; Bengaluru; Hybrid; INR 2,800,000 - 4,000,000; Full time

Job summary

Kotak Securities Limited is seeking a Data Scientist III to drive advanced analytics across Digital Banking and Transformation. Based in Mumbai or Bengaluru with hybrid work, you will design and deploy ML models, perform feature engineering, and collaborate with cross-functional teams.

You will mentor junior data scientists, present insights to senior leadership, and ensure model governance and MLOps readiness while exploring NLP, time series, and AI techniques.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.
• PhD preferred for highly specialized domains.
• 6-10 years of experience in Data Science, Machine Learning, Advanced Analytics, or related fields.
• Proven experience in building and deploying enterprise-scale ML models.

Responsibilities

• Design, develop, validate, and deploy advanced machine learning and statistical models.
• Build predictive, classification, recommendation, forecasting, and optimization models.
• Develop scalable AI/ML solutions to improve business performance and customer outcomes.
• Conduct feature engineering, model selection, hyperparameter tuning, and performance evaluation.
• Apply advanced techniques including NLP, deep learning, generative AI, and time series forecasting where applicable.
• Analyze large structured and unstructured datasets to identify business opportunities and trends.
• Translate business challenges into analytical frameworks and data-driven solutions.
• Develop insightful dashboards, reports, and analytical presentations for senior leadership.
• Perform hypothesis testing, A/B testing, and causal impact analysis.
• Ensure model accuracy, fairness, explainability, and compliance with organizational standards.
• Monitor model performance and retrain models as needed.
• Support MLOps practices, automation, and model deployment pipelines.
• Maintain proper documentation for models, methodologies, and business impact.
• Partner with business leaders to understand requirements and deliver analytical solutions.
• Present findings and recommendations to senior stakeholders.
• Act as a subject matter expert for advanced analytics and machine learning initiatives.
• Mentor junior data scientists and analysts.
• Review analytical approaches and model outputs.
• Promote best practices in statistics, machine learning, coding, and experimentation.

Skills

Mentoring

Stakeholder management

Leadership

Education

Bachelor's degree

Master's degree

PhD

Tools

Python

R

SQL

PySpark

Spark

Jupyter Notebook

Git

Docker

Kubernetes

Databricks

Power BI

Tableau

Matplotlib

Seaborn

SQL Server

Oracle

PostgreSQL

NoSQL Databases

AWS

Azure

GCP

Job description

Data Scientist 3_Digital Banking Kotak 811_0434_8147_1094575 Job Title Data Scientist III Department Data Science / Analytics / Digital Transformation Location Mumbai / Bengaluru / Hybrid Grade Senior Individual Contributor

Role Summary

We are seeking an experienced and highly analytical Data Scientist III to drive advanced data science initiatives and build scalable machine learning solutions that solve complex business problems. The incumbent will leverage statistical modeling, machine learning, artificial intelligence, and data engineering techniques to generate actionable insights, enhance customer experiences, optimize business processes, and support strategic decision-making. The role requires strong expertise in predictive analytics, model development, experimentation, stakeholder management, and mentoring junior data scientists while collaborating with cross-functional teams across business, product, technology, and operations.

Key Responsibilities

Data Science & Machine Learning

• Design, develop, validate, and deploy advanced machine learning and statistical models.
• Build predictive, classification, recommendation, forecasting, and optimization models.
• Develop scalable AI/ML solutions to improve business performance and customer outcomes.
• Conduct feature engineering, model selection, hyperparameter tuning, and performance evaluation.
• Apply advanced techniques including NLP, deep learning, generative AI, and time series forecasting where applicable.

Analytics & Insights

This is a Public document.

• Analyze large structured and unstructured datasets to identify business opportunities and trends.
• Translate business challenges into analytical frameworks and data-driven solutions.
• Develop insightful dashboards, reports, and analytical presentations for senior leadership.
• Perform hypothesis testing, A/B testing, and causal impact analysis.

Model Governance & Deployment

• Ensure model accuracy, fairness, explainability, and compliance with organizational standards.
• Monitor model performance and retrain models as needed.
• Support MLOps practices, automation, and model deployment pipelines.
• Maintain proper documentation for models, methodologies, and business impact.

Stakeholder Management

• Partner with business leaders to understand requirements and deliver analytical solutions.
• Present findings and recommendations to senior stakeholders.
• Act as a subject matter expert for advanced analytics and machine learning initiatives.

Leadership & Mentoring

• Mentor junior data scientists and analysts.
• Review analytical approaches and model outputs.
• Promote best practices in statistics, machine learning, coding, and experimentation.

Required Qualifications

Education

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.
• PhD preferred for highly specialized domains.

Experience

This is a Public document.

• 6-10 years of experience in Data Science, Machine Learning, Advanced Analytics, or related fields.
• Proven experience in building and deploying enterprise-scale ML models.

Technical Skills

Programming & Tools

• Python, R, SQL
• PySpark, Spark
• Jupyter Notebook
• Git, Docker, Kubernetes

Machine Learning

• Supervised & Unsupervised Learning
• Ensemble Models
• Deep Learning
• NLP
• Recommendation Systems
• Time Series Forecasting

Cloud Platforms

• AWS, Azure, or GCP
• Databricks preferred

Data Visualization

• Power BI
• Tableau
• Matplotlib
• Seaborn

Databases

• SQL Server
• Oracle

This is a Public document.

• PostgreSQL
• NoSQL Databases