Senior Associate/AVP, Data Scientist(AI & ML Specialist)

6 - 8 years

8 - 10 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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 organizations 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.

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DBS Bank logo
DBS Bank

Banking and Financial Services

Singapore

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