Data Analyst/Scientist

Candidates usually undergo a three-round interview process: an initial technical screening focusing on Python and machine learning fundamentals, a second technical round covering big data concepts and case studies, followed by an HR interview assessing cultural fit and communication skills. The difficulty level is moderate to high, with emphasis on real-world problem solving and data-driven decision making.

Kotak Mahindra Bank fosters a collaborative environment with a focus on innovation and employee growth. The organization promotes a healthy work-life balance and offers numerous learning and development programs to help employees advance their careers.

Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or related quantitative field. Minimum 60% aggregate or equivalent CGPA. No backlogs allowed. Candidates should have 1-2 years of experience in quantitative analytics or data modeling.

Round 1: Technical interview (Python, ML concepts, SQL) → Round 2: Technical interview (Big Data, case study) → Round 3: HR interview

Kotak Mahindra Bank, a leading private sector bank in India, has a rich legacy of over 60 years in providing innovative financial solutions. With a strong focus on technology-driven banking, the institution has consistently invested in digital platforms, data analytics, and customer-centric services. The bank’s mission is to empower customers with seamless banking experiences while maintaining robust risk management and compliance frameworks. The Data Scientist role is pivotal in transforming raw data into actionable insights that drive strategic decisions across the organization. As a Data Scientist at Kotak Mahindra Bank, you will work closely with cross-functional teams, including product managers, data engineers, and business analysts, to design and implement predictive models that enhance customer segmentation, credit risk assessment, and fraud detection. Key Responsibilities: 1. Collect, clean, and preprocess large datasets from multiple sources. 2. Perform exploratory data analysis to uncover patterns and trends. 3. Build and validate predictive models using machine learning algorithms such as regression, classification, clustering, and deep learning. 4. Deploy models into production environments in collaboration with the engineering team. 5. Monitor model performance and retrain models as necessary. 6. Translate complex analytical findings into clear, actionable recommendations for business stakeholders. 7. Create visual dashboards and reports using tools like Tableau or Power BI. 8. Stay updated with the latest industry trends in data science and big data technologies. 9. Mentor junior analysts and contribute to knowledge sharing sessions. 10. Ensure compliance with data privacy and security regulations. Tech Stack: - Programming: Python, SQL - Big Data: Hadoop, Spark, Cassandra - Machine Learning Libraries: scikit-learn, TensorFlow, PyTorch - Visualization: Tableau, Power BI - Cloud Platforms: AWS, Azure (optional) Growth Path: Starting as a Data Scientist, you can progress to Senior Data Scientist, Lead Data Scientist, or Data Science Manager roles. The bank offers continuous learning opportunities, certifications, and exposure to diverse business domains, enabling a clear career trajectory. Why Join Kotak Mahindra Bank? - Competitive compensation and comprehensive benefits. - A culture that values innovation, agility, and continuous learning. - Exposure to large-scale data projects that impact millions of customers. - Strong emphasis on work-life balance with flexible work arrangements. - Opportunities to work with cutting-edge technologies and industry best practices. Overall, this role offers a dynamic environment where analytical rigor meets real-world impact, making it an ideal fit for data enthusiasts looking to shape the future of banking.