Assistant Vice President, Data Scientist (AI & Machine Learning Specialist), Transformation and Data

Business Function

The Data Chapter is a strategic partner to the business, leveraging cutting-edge AI and ML technologies to drive data-led initiatives that mitigate risk, generate revenue, and improve operational efficiency. We ensure data integrity and governance, providing high-quality analysis, insights, and automation to empower data-driven decision-making across DBS. Our collaborative approach ensures timely and actionable solutions that support the organization's strategic objectives

Responsibilities

• Design, develop, and deploy advanced AI/ML models to extract actionable insights, automate processes, and support strategic decision-making across business units
• Design and collaborate with team to develop the end-to-end lifecycle of AI initiatives—from problem scoping, data engineering, model development, validation, deployment, to monitoring
• Collaborate closely with cross-functional teams including product, engineering, and business stakeholders to identify high-impact AI opportunities and deliver innovative solutions
• Drive experimentation with cutting-edge techniques such as deep learning, generative AI (e.g., LLMs, GANs), and reinforcement learning to solve complex problems and create value
• Conduct risk modeling, scenario analysis, and business impact evaluations to ensure AI solutions are robust, ethical, and aligned with organizational goals
• Contribute to the development of best practices, toolkits, and scalable AI pipelines
• Stay current with emerging trends and research in AI and machine learning, and evaluate their potential application within the organization
  
  

Requirements

• 6-8 years of hands-on experience in data science, machine learning, or AI, with a proven track record of deploying models in production environments
• Strong expertise in Python and common ML/AI libraries (e.g., scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain,LangGraph etc)
• Solid understanding of data architecture, model deployment (MLOps), and working with cloud platforms (e.g., AWS, Azure, GCP)
• Demonstrated experience with generative AI technologies such as transformers, large language models (LLMs), or diffusion models
• Proficiency in statistical analysis, feature engineering, and advanced machine learning techniques (e.g., ensemble methods, NLP, time-series)
• Excellent problem-solving, analytical thinking, and business acumen
• Strong written and verbal communication skills; ability to influence and collaborate with senior stakeholders
• Master’s in Computer Science, Data Science, Artificial Intelligence, or a related field is highly preferred
  
  

Apply Now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

Primary Location

India-Maharashtra-Mumbai

Job

Analytics

Schedule

Regular

Job Type

Full-time

Job Posting

Sep 26, 2025, 7:31:22 PM