Kotak Mahindra Bank/ Data Anayltics/ Mumbai

Job Description:

. Data Scientist – KMPL Support Services – Analytics

• Location: Mumbai

• Grade: M1 to M4

• Reports to: Lead/Principal Data Scientist

• Role Overview: Responsible for building analytical models for the banking, NBFC, and insurance sectors. Utilize machine learning algorithms or statistical models to optimize business processes across the customer lifecycle.

• Key Responsibilities:

  • Develop and deploy machine learning models.

  • Conduct exploratory data analysis to uncover trends and patterns.

  • Translate business needs into data-driven solutions and actionable insights.

• Experience Required: Minimum of 2 years in data science or analytics.

• Skills: Proficiency in Python, R, SQL, and data visualization tools.iimjobs.com+2MNCJobsIndia+2Job Search India | Indeed+2Instahyre+6Job Search India | Indeed+6MNCJobsIndia+6Apna

2. Data Analyst – Internal Audit Vertical

• Location: Mumbai

• Experience Required: 3 to 8 years

• Role Overview: Lead audit analytics and data visualization efforts to provide insights throughout the audit process.

• Key Responsibilities:

  • Participate in audit and departmental projects.

  • Demonstrate advanced technology and leading practices specific to audit analytics.

  • Provide insights and analysis to drive strategic benefits in audit quality and efficiency.

• Skills: Experience with data analytics, data visualization, and familiarity with audit processes.

3. Business Analyst – KMPL Support Services – Analytics

• Location: Mumbai

• Grade: M1 to M3

• Reports to: Head Analytics

• Role Overview: Analyze complex datasets to extract meaningful insights and propose actionable recommendations to optimize processes and decision-making.

• Key Responsibilities:

  • Conduct thorough cost-benefit analyses.

  • Effectively communicate findings to stakeholders.

  • Drive informed business strategies through data analysis.

• Experience Required: Minimum of 2 years in data analysis or related fields.

• Skills: Strong analytical skills, proficiency in data analysis tools, and excellent communication abilities.