Senior Associate/Assistant Vice President, Data Scientist(AI & Machine Learning Specialist) - (WD75499)
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.
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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
Employee Status
:
Full-time
:
Job Posting
: Jul 28, 2025, 2:30:00 AM
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