Posted:3 weeks ago|
Platform:
Work from Office
Full Time
Team: Business Intelligence Unit Key focus area: Data Science and Data Analytics Role Overview: We are seeking a highly skilled and motivated individual to join our Business Intelligence Unit (BIU). The ideal candidate will bring strong analytical and technical expertise, coupled with advanced capabilities in Data Science, Machine Learning (ML), Artificial Intelligence (AI), and Generative AI (GenAI). This role involves collaborating with diverse departments such as Risk, Business, Operations, Insurance, and Credit to design and implement data-driven solutions for high-impact business challenges. Key Responsibilities: Utilize programming skills in Python and SQL to analyze large datasets and extract actionable insights Design AI/ML powered solutions tailored to organizational needs like credit risk modelling, fraud detection, customer segmentation etc Collaborate with cross-functional teams to understand business challenges and design data-driven solutions Develop, implement, and optimize data models tailored to solve specific business problems Support decision-making by providing analytical solutions to improve performance across departments including Business, Risk, Credit, Operations, Vigilance etc Ensure data accuracy and integrity by conducting thorough data reviews and implementing quality checks Stay updated with the latest advancements in Data Science, ML, AI, and GenAI to drive innovation across BIU projects Education: Mandatory: Bachelors of minimum three years Optional: Post-graduation, certification, or equivalent in Data Science, Statistics, MBA etc Technical Skills: Proficiency in Python and SQL Good understanding of ML concepts and its popular algorithms- Linear Regression, Logistic Regression, Xgboost, DT, and Random Forest Expertise in Advanced Excel for data modeling and analytics Presentation Skills: Excellent ability to communicate business findings in a clear and concise manner to both technical and non-technical stakeholders
Iifl Samasta
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