How much salary can I expect as a Vice President - Data Science in Kotak Mahindra Bank Limited in Bengaluru/Bangalore?

You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

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The candidate should have completed the required education and people who have 5 to 31 years are eligible to apply for this job. You can apply for more jobs in Bengaluru/Bangalore to get hired quickly.

Is there any specific skill required for this job?

The candidate should have sound communication skills and sound communication skills for this job.

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Vice President - Data Science

Kotak Mahindra Bank Limited

Vice President - Data Science

Kotak Mahindra Bank Limited

Bengaluru/Bangalore

Not disclosed

Work from Office

Full Time

Min. 5 years

Job Description

VP-Data Science-Digital Banking Kotak 811-Regional Sales

As the VP-Data Science, you will play a pivotal role in shaping the future of Digital Banking at Kotak Mahindra Bank Ltd. Your expertise will be instrumental in developing innovative data-driven solutions, optimizing sales strategies, and ensuring the bank's competitive edge in the digital banking landscape. This is a unique opportunity to join a dynamic team and make a significant impact on the bank's digital transformation journey.

Lead a team of data scientists and analysts, providing strategic direction and mentorship.
Develop and implement advanced data-driven strategies to enhance customer engagement and retention.
Collaborate with cross-functional teams to identify and address business challenges through data-driven insights.
Design and oversee the implementation of machine learning models for predictive analytics and customer segmentation.
Ensure data security and privacy compliance, adhering to industry best practices and regulations.
Stay updated with emerging technologies and trends in data science and digital banking.
Conduct regular performance reviews and provide constructive feedback to team members.
Foster a culture of innovation and continuous improvement within the data science team.
Represent the bank at industry events and conferences, sharing insights and best practices.

A Master's degree or PhD in Data Science, Computer Science, or a related field is preferred.
Minimum 10 years of experience in data science, with a proven track record in the banking or financial services industry.
Expertise in machine learning, statistical modeling, and data visualization techniques.
Strong leadership and mentorship skills, with the ability to inspire and guide a team of data professionals.
Excellent communication and presentation skills, with the ability to articulate complex ideas to both technical and non-technical stakeholders.
Proficiency in programming languages such as Python, R, or SQL, and experience with big data technologies.
A deep understanding of data privacy and security best practices, including GDPR and other relevant regulations.
Experience in building and optimizing data pipelines and infrastructure.
Ability to work collaboratively with cross-functional teams, including product managers, engineers, and business analysts.