Lead Data Scientist Finance (Hyderabad)

Company Qualcomm India Private Limited Job Area Information Technology Group, Information Technology Group > Data Science General Summary About the Role The Data Scientist Record to Report will focus on designing, developing, and maintaining AI-driven solutions that support and enhance R2R processes. This role is primarily hands-on and technical, with a strong emphasis on machine learning, data engineering, and applied AI. The role does not own accounting processes, close execution, controls, or SOX responsibilities. Role Focus Data Science, AI & Automation Delivery: ~80% Functional Partnership & Solution Enablement: ~20% Key Responsibilities AI & Data Science Solution Development Design, build, deploy, and maintain AI/ML solutions supporting R2R use cases such as anomaly detection, predictive analytics, and intelligent data validation. Develop Python-based data pipelines for ERP and finance data sources. Build and maintain ML models, LLM-powered tools, or AI agents augmenting R2R productivity. Ensure solutions are scalable, explainable, well-documented, and production-ready. Monitor solution performance, data quality, and model drift; continuously improve models post-deployment. Platform & Integration Partnership Partner with Enterprise AI, IT, and Data Platform teams for integration and deployment. Ensure solutions align with security, infrastructure, and architectural standards. Support solution enhancements, upgrades, and long-term maintainability. Required Qualifications Bachelors or Masters degree in Computer Science, Data Science, AI/ML, Engineering, or related field. 46+ years of hands-on experience in data science, analytics, or machine learning. Solid proficiency in Python and common data science libraries. Experience building, training, and deploying ML models or AI solutions. Strong analytical thinking and problem-solving skills. Minimum Qualifications Bachelor's degree in Computer Science, Data Science, Machine Learning, Statisti .