Data Scientist

Kotak Mahindra Bank is hiring a Data Scientist in Bengaluru, India. The details below summarise the employer's own listing; applications happen on the original posting, not on GetFirstJob.

What the work involves

• Business problem solving and use-case prioritisation: Partner with business and product stakeholders to translate business questions into structured analytics problem statements, define measurable outcomes, and prioritise high-value use cases
• Apply knowledge of Retail Banking Liabilities, Investment and Insurance products, customer lifecycle, and channel behaviour
• Opportunity identification and insight generation: Analyse customer, transaction, product and engagement data to identify cross-sell, deepening, retention and activation opportunities
• Generate actionable insights to improve relationship value, revenue per customer, primary-banker penetration and cross-sell ratio
• Hands-on analytics and data engineering: Independently explore, transform and analyse large-scale datasets using SQL, Python and PySpark
• Build reusable analytical datasets, features and data pipelines
• optimise Spark workloads
• and apply sound coding, testing, documentation and version-control practices
• Pipeline orchestration and cloud delivery: Develop, schedule and monitor reliable batch workflows using Apache Airflow
• Work with AWS services such as S3, EMR, Redshift, Glue and MWAA to support scalable analytical processing, data movement, orchestration and production deployment

What they are looking for

• Education and experience: Bachelors or Master’s degree in Mathematics, Statistics, Economics, Computer Science, Technology, Engineering, Data Science or Management from Tier 1/ 2 institutes
• Typically 5–10 years of relevant experience in business analytics, data analytics or data engineering, preferably in retail banking or financial services/ fintechs
• Core technical skills: Strong hands-on proficiency in Python, SQL, PySpark and Apache Spark
• experience building ETL/ELT pipelines and Apache Airflow DAGs
• and practical exposure to AWS services including S3, EMR, Redshift, Glue and MWAA
• Working knowledge of pandas, Jupyter, Git, data modelling, performance tuning and data-quality frameworks is expected
• Analytical capability: Strong grounding in exploratory analysis, statistical methods, customer segmentation, experimentation, feature engineering and model evaluation
• Ability to convert ambiguous business questions into logical analytical frameworks and measurable recommendations

Pay and dates

The listed pay is Not Disclosed. The source page shows a relative posting age rather than an exact posting date; this role was first seen and checked as open on 4 November 2026. The source page showed it as posted “1 day ago” when captured; that is a relative stamp, not an exact date.

How to apply

Apply on the listing where the employer published this role: Data Scientist at Kotak Mahindra Bank. We found this listing via naukri.com; it was still open when we checked on 4 November 2026. If the posting has closed or the link fails, the role may have been filled.