Data Analyst/Scientist

Candidates typically undergo a three‑stage interview process. The first round focuses on technical knowledge, covering data modeling, machine learning concepts, and big‑data tools. The second round tests coding skills through algorithmic problems and SQL queries. The final HR round assesses cultural fit, communication skills, and motivation. Interviewers often ask scenario‑based questions to evaluate problem‑solving abilities and real‑world application of data science techniques.

The organization promotes a collaborative and inclusive work environment, encouraging employees to innovate and take ownership of projects. Career growth is supported through continuous learning opportunities, mentorship programs, and a clear promotion path. Work‑life balance is maintained with flexible working hours and a focus on employee well‑being.

Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field. Minimum 1–2 years of experience in quantitative analytics or data modeling. Strong programming skills in Python or Java, proficiency in SQL, and familiarity with big‑data frameworks. Candidates should demonstrate a solid foundation in predictive modeling, machine learning, clustering, and classification techniques. No specific percentage requirement, but a strong academic record and relevant project experience are preferred. Backlogs are generally not accepted for fresher roles; however, candidates with a clear academic record and relevant experience may be considered.

Round 1: Technical interview – data modeling and machine learning concepts → Round 2: Technical interview – coding, algorithms, and big‑data tools → Round 3: HR interview

Kotak Mahindra Bank is one of India’s leading private sector banks, known for its innovative approach to financial services and a strong focus on digital transformation. With a presence in over 30 countries and a workforce of more than 30,000 employees, the bank has consistently ranked among the top banks in India for customer satisfaction, technology adoption, and corporate governance. The Bengaluru office serves as a key hub for the bank’s technology and analytics initiatives, driving product innovation and customer experience across the organization. The Data Scientist role is pivotal in turning raw data into actionable insights that shape business strategy and product development. The ideal candidate will be passionate about learning, data, scale, and agility, and will collaborate closely with cross‑functional teams to build predictive models, optimize processes, and uncover hidden patterns in large datasets. Key responsibilities include: 1. Analyzing raw data to assess quality, cleanse, and structure it for downstream processing. 2. Designing accurate and scalable prediction algorithms using machine learning techniques. 3. Collaborating with engineering teams to transition analytical prototypes into production environments. 4. Generating actionable insights that drive business improvements and operational efficiencies. 5. Developing dashboards and visualizations to communicate findings to stakeholders. 6. Conducting exploratory data analysis to identify trends and anomalies. 7. Implementing feature engineering and model selection pipelines. 8. Performing model validation, performance monitoring, and retraining as needed. 9. Staying updated on industry best practices in data science and big‑data technologies. 10. Mentoring junior analysts and sharing knowledge across the team. The technical stack for this role includes Python, SQL, Hadoop, Spark, Cassandra, and Tableau. Candidates should have a deep understanding of predictive modeling, clustering, classification, and other machine‑learning algorithms. Experience with big‑data frameworks and data visualization tools is essential. Growth Path: Starting as a Data Scientist, professionals can progress to Senior Data Scientist, Lead Data Scientist, or Data Science Manager roles, with opportunities to specialize in areas such as fraud detection, customer analytics, or risk modeling. Why Join: Working at Kotak Mahindra Bank offers exposure to large‑scale financial data, a collaborative culture that values innovation, and a clear career progression path. The bank’s commitment to digital transformation means you’ll be at the forefront of cutting‑edge technology, while the supportive work environment encourages continuous learning and professional development.