Strong proficiency in machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) and data analytics tools (e.g., Python, R, SQL).
Deep understanding of big data platforms and cloud-based data ecosystems (e.g., Hadoop, Spark, Databricks, Azure/GCP/AWS). Excellent business acumen with ability to translate analytics into strategic insights. Strong leadership, stakeholder management, and communication skills. Familiarity with data privacy, model governance, and ethical AI principles. Agile delivery methodologies and experience with product lifecycle management in analytics projects.
Education / Qualification
Bachelor's or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field Minimum of 8–10 years of experience in data science, advanced analytics, or AI/ML roles, with at least 3 years in a leadership or managerial capacity. Proven track record of delivering analytics-driven business outcomes in financial services o...