Qualcomm Data Scientist Jobs 2026
Finance Analytics (FP&A) | Hyderabad
Job Overview
Qualcomm is hiring a Data Scientist for its Finance (FP&A / Opex Analytics) team in Hyderabad, India.
This role focuses on leveraging advanced analytics, AI, and automation to enhance financial planning, forecasting, and reporting processes within the organization. As a Data Scientist, you will work with complex enterprise finance datasets to build scalable analytical models, automate workflows, and generate actionable insights for leadership.
💡 Why this role?
This role is ideal for experienced professionals with strong Python, data science, and finance analytics skills who are interested in applying AI-driven solutions and GenAI to real-world financial business challenges.
Roles & Responsibilities
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Build and maintain Python-based datasets and analytical models, applying statistical and forecasting techniques for finance use cases.
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Develop AI/ML and GenAI solutions (LLMs, AI agents) and integrate analytics solutions with enterprise systems like Oracle, SAP, and TM1.
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Create automation workflows using tools like Power Automate or n8n to reduce manual reporting efforts and ensure data quality.
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Analyze operating expenses, budgets, and forecasts to identify trends, risks, and performance drivers for Opex Analytics.
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Deliver insights and interactive visualizations (Power BI/Tableau) to present recommendations and drive strategic decisions for senior leadership.
Eligibility Criteria
Education
Bachelor’s Degree in Data Science, Computer Science, Finance, Accounting, Economics, Engineering, or a related field. Master's preferred.
Experience
4+ years of experience in data science, analytics, or finance analytics working with enterprise datasets and analytics tools.
Technical & Core Competence
Strong expertise in Python for data analysis, modeling, and automation. Experience with Machine Learning frameworks, GenAI (LLMs), and data visualization tools (Power BI, Tableau). Familiarity with ERP systems (Oracle, SAP, TM1) is highly required.
How to Apply
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