Head Data Scientist-New Frontiers

apartmentIDFC placeMumbai calendar_month 

Job Description

Job Requirements

About the Role

The Head Data Scientist New Frontiers will lead cutting-edge AI/ML initiatives across the Bank, driving innovation and building new capabilities for business verticals and horizontal functions. This role is responsible for conceptualizing future-state business problems (T+1, T+2), managing ML pipelines, deploying models on cloud platforms, and enhancing the analytics stack for hyper-personalization.

The role also includes strategic leadership in research, publications, and the creation of an AI Lab to position the Bank as a thought leader in data science.

Key Responsibilities

Primary 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 Bank's 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.

What We Are Looking For

Education
  • Gradudation/Post Graduation in BSC or BCA or B.Tech or MTech or MBA or MA or MSc
Experience
  • 10 years of relevant experience in AI/ML model development, deployment, and pipeline management.
  • Proven track record of leading strategic data science initiatives in large organizations.
  • Experience with cloud platforms (especially AWS) and real-time model deployment.
Skills and Attributes
  • Deep expertise in machine learning, computational modelling, 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.
Key Success Metrics
  • Enhancement of the analytics stack for the Hyper-Personalization Engine.
  • Development and implementation of new use cases for analytics.
  • Patents filed and research publications produced.
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