Job title: Senior Associate/Assistant Vice President, Data Scientist(AI & Machine Learning Specialist)
Company: DBS Bank
Job description: Business FunctionThe 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 blockysis, 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 objectivesResponsibilities:
- 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 blockysis, 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 blockysis, feature engineering, and advanced machine learning techniques (e.g., ensemble methods, NLP, time-series).
- Excellent problem-solving, blockytical thinking, and business a***en.
- 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 NowWe offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.
Expected salary:
Location: Mumbai, Maharashtra
Job date: Wed, 30 Jul 2025 07:55:31 GMT
Apply for the job now!
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