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Strong brand, popular Data Scientist title, broad ML/NLP skills, and metro Hyderabad drive high competition.
Core ML and data engineering skills transfer across industries, though finance experience is preferred.
Explicit 0–2 years plus required Python/SQL and ML skills impose moderate screening.
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Manage end-to-end data science workflow: data extraction, cleaning, feature engineering, model development, validation, and deployment.
Develop and maintain predictive models using statistical and machine learning techniques on financial and alternative data to support portfolio management and risk assessment.
Implement NLP and Generative AI solutions for research automation, sentiment analysis, and document summarization; create data visualizations and dashboards for stakeholder communication.
Bachelor’s or Master’s degree in Engineering, Data Science, Statistics or related field.
0-2 years of experience in data science roles.
Proficiency in Python and SQL for data extraction, analysis, modeling, and reporting.
Work Shift Timings: 2:00 PM - 11:00 PM IST.
Experience or strong interest in financial services data and capital markets.
Practical knowledge of machine learning models including regression, classification, clustering, and ensemble methods.
Familiarity or exposure to generative AI and agent-based frameworks, with understanding of MLOps concepts considered a plus.