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Tier-1 bank, common Data Scientist role and Bangalore location drive high competition.
Specialized ML/NLP/LLM and cloud experience makes background highly domain-specific.
Explicit eight-year requirement plus specific ML/LLM and cloud skills make shortlisting highly selective.
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Drive innovation in generative AI, NLP, and agentic AI by building intelligent systems and autonomous agents.
Develop, train, monitor machine learning models, and automate data collection and model deployment processes.
Collaborate closely with internal and external stakeholders to apply advanced analytics that transform user experiences and business processes.
8 years of work experience in data science or related fields.
Proficiency in Python and libraries such as Pandas, NumPy, and Scikit-learn.
Experience with cloud applications, specifically AWS Sagemaker.
Role based in Bangalore, India; all working days must be carried out in India.
Experienced in applying machine learning, deep learning, and statistical analysis to large datasets with strong domain knowledge in financial services.
Capable of defining analytics needs and opportunities in collaboration with stakeholders and delivering measurable impact.
Comfortable working in highly collaborative, visible roles within dynamic, innovation-focused teams at senior levels such as Associate Vice President.