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Tier-1 employer and metro location increase competition, though seniority and specialization moderately narrow the pool.
Technical ML/AI skills transfer across industries, but financial services domain knowledge moderately increases sensitivity.
Explicit eight-year requirement plus mandatory ML/LLM, Python and cloud skills makes shortlisting strict.
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Drive innovation in generative AI, NLP, and agentic AI through building intelligent systems and autonomous agents.
Collaborate closely with internal and external stakeholders to identify needs and deliver advanced analytics and predictive modeling solutions.
Build, train, monitor machine learning models, and automate data collection, processing, and model deployment.
8 years of relevant work experience in data science or related fields.
Proficiency in Python with libraries such as Pandas, NumPy, and Scikit-learn.
Experience with cloud platforms like AWS Sagemaker.
Strong knowledge of machine learning, statistical analysis, large language models (LLMs), and data management principles.
Experienced in developing and deploying machine learning and AI models at scale, emphasizing generative AI and NLP.
Comfortable working in a collaborative, cross-functional environment with multiple stakeholders.
Skilled in translating business needs into advanced analytic solutions with measurable impact in financial services.