Assistant Vice President, Data Scientist
4 weeks ago
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-MumbaiJob
:AnalyticsSchedule
:RegularEmployee Status
:Full-time:Job Posting
:Sep 26, 2025, 8:31:22 PM-
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