Head Data Scientist New Frontiers

As the Head Data Scientist New Frontiers at the Bank, your role involves leading cutting-edge AI/ML initiatives to drive innovation and build new capabilities for business verticals and horizontal functions. You will be responsible for conceptualizing future-state business problems, managing ML pipelines, deploying models on cloud platforms, and enhancing the analytics stack for hyper-personalization. Additionally, your strategic leadership in research, publications, and the creation of an AI Lab will position the Bank as a thought leader in data science.

**Key Responsibilities:**

• Understand complex business problems and solve them using advanced analytical and machine learning techniques.
• Develop new analytical capabilities for various business verticals and horizontal functions.
• Conceptualize and design solutions for future-state (T+1, T+2) business challenges.
• Deploy credit models on AWS for low latency use cases.
• Manage and optimize ML pipelines for the Analytics team.
• Enhance the analytics stack powering the Banks Hyper-Personalization Engine.
• Oversee project management of all AI/ML initiatives across the Bank.
• Align stakeholder expectations with organizational objectives and data science strategies.
• Lead research and publication efforts to build market goodwill and thought leadership.
• Drive the vision and roadmap for establishing an AI Lab within the Bank.

**Managerial & Leadership Responsibilities:**

• Develop individual talent through ongoing feedback and personalized development plans.
• Identify root causes of business challenges and provide strategic, data-driven solutions.
• Foster a culture of continuous learning and innovation through research and training.
• Provide authentic feedback and recognize achievements through structured reinforcement.
• Act as a subject matter expert and role model within the data science community.

**Qualifications:**

• Education: Graduation/Post Graduation in BSC, BCA, B.Tech, MTech, MBA, MA, or MSc.
• Experience: 10 years of relevant experience in AI/ML model development, deployment, and pipeline management.
• Skills and Attributes: Deep expertise in machine learning, computational modeling, and cloud-based analytics. Strong leadership and project management skills. Ability to conceptualize future business challenges and design innovative solutions. Excellent communication and stakeholder engagement capabilities. Passion for research, innovation, and thought leadership in data science.

This role offers you the opportunity to make a significant impact by enhancing the analytics stack for the Hyper-Personalization Engine, developing and implementing new use cases for analytics, and contributing to patents filed and research publications produced. As the Head Data Scientist New Frontiers at the Bank, your role involves leading cutting-edge AI/ML initiatives to drive innovation and build new capabilities for business verticals and horizontal functions. You will be responsible for conceptualizing future-state business problems, managing ML pipelines, deploying models on cloud platforms, and enhancing the analytics stack for hyper-personalization. Additionally, your strategic leadership in research, publications, and the creation of an AI Lab will position the Bank as a thought leader in data science.

**Key Responsibilities:**

• Understand complex business problems and solve them using advanced analytical and machine learning techniques.
• Develop new analytical capabilities for various business verticals and horizontal functions.
• Conceptualize and design solutions for future-state (T+1, T+2) business challenges.
• Deploy credit models on AWS for low latency use cases.
• Manage and optimize ML pipelines for the Analytics team.
• Enhance the analytics stack powering the Banks Hyper-Personalization Engine.
• Oversee project management of all AI/ML initiatives across the Bank.
• Align stakeholder expectations with organizational objectives and data science strategies.
• Lead research and publication efforts to build market goodwill and thought leadership.
• Drive the vision and roadmap for establishing an AI Lab within the Bank.

**Managerial & Leadership Responsibilities:**

• Develop individual talent through ongoing feedback and personalized development plans.
• Identify root causes of business challenges and provide strategic, data-driven solutions.
• Foster a culture of continuous learning and innovation through research and training.
• Provide authentic feedback and recognize achievements through structured reinforcement.
• Act as a subject matter expert and role model within the data science community.

**Qualifications:**

• Education: Graduation/Post Graduation in BSC, BCA, B.Tech, MTech, MBA, MA, or MSc.
• Experience: 10 years of relevant experience in AI/ML model development, deployment, and pipeline management.
• Skills and Attributes: Deep expertise in machine learning, computational modeling, and cloud-based analytics. Strong