Data Scientist

Company:

Qualcomm India Private Limited

Job Area:

Information Technology Group, Information Technology Group > Data Science

General Summary:

Data Scientist – Finance (Opex Analytics & Automation)

Function: Finance – FP&A / Opex

Location: Hyderabad, India

Role Type: Individual Contributor (IC)

Role Summary

We are seeking a highly skilled Data Scientist to support the Finance organization through advanced analytics, data science, and intelligent automation, with a strong focus on Operating Expense (Opex) planning, forecasting, and reporting.

This role combines deep analytical judgment, hands‑on Python delivery, and AI‑enabled automation to transform finance workflows and decision support. The individual will work with complex enterprise finance data, develop scalable analytics and AI solutions, and deliver management‑ready insights to Finance leadership. The role operates with limited supervision and plays a key role in continuously improving Finance analytics, automation, and self‑service capabilities.

Key Responsibilities

Data Science, AI & Automation

• Build and maintain Python‑based datasets, analytical models, and automation workflows using enterprise finance data.
• Design and deploy scalable analytics and automation solutions to reduce manual reporting and recurring analysis effort.
• Apply statistical, forecasting, and AI‑enabled techniques where appropriate, ensuring explainable, auditable, and finance‑compliant outputs.
• Develop AI/ML and GenAI solutions (including LLMs, AI agents, and context‑aware orchestration such as Model Context Protocol where applicable) for finance use cases such as forecasting, anomaly detection, reconciliations, and journal support.
• Integrate analytical and AI solutions with enterprise systems such as Oracle ERP, SAP, TM1 systems.
• Validate data quality, logic, and outputs to meet Finance governance, controls, and audit requirements.
  
  
  

Collaboration, Adoption & Enablement

• Enable adoption of analytics and automation through standardized dashboards, templates, and self‑service tools.
• Create high‑quality documentation covering logic, assumptions, reconciliations, and usage guidance.
• Drive change management by developing training materials and partnering with stakeholders to scale usage.
• Collaborate with IT and enterprise teams to align solutions with data, security, and AI governance standards.
  
  
  

Opex Analytics & Finance Insights

• Analyze Opex actuals, budget, and forecast data to identify key drivers, risks, and variance trends.
• Develop repeatable analytics for run-rate analysis, spend trends, target utilization, and forecast accuracy.
• Translate finance business questions into structured analytical approaches, metrics, and assumptions.
• Deliver clear, management-ready insights and visualizations to FP&A and Finance leadership.
  
  
  

Strategic Contribution

• Define KPIs and success metrics to measure the impact of analytics and AI initiatives in Finance.
• Stay current with advancements in generative AI, agent‑based systems, and enterprise AI governance.
• Present insights, proposals, and recommendations to senior Finance leaders and executive stakeholders
  
  
  

Minimum Qualifications

• Bachelor’s degree in Data Science, Computer Science, Finance, Accounting, Economics, Engineering, or related field.
• 4+ years of relevant experience in data science, analytics, or finance analytics roles.
• Strong analytical and problem-solving skills with structured enterprise datasets.
• Proficiency in Python for data analysis, modeling, and automation.
• Ability to communicate analytical insights effectively to non-technical stakeholders.
  
  
  

Preferred Qualifications

• Master’s degree in a quantitative or finance-related discipline.
• Experience supporting Opex, FP&A, or cost management functions.
• Exposure to AI/ML or LLM-based solutions in enterprise environments.
• Experience with automation tools such as Power Automate or n8n.
• Experience with Data bricks, Power BI or Tableau.
  
  
  

Minimum Qualifications:

• Bachelors degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field.
• 1+ year of Data Science or related work experience.
• Completed advanced degree in a relevant field may be substituted for up to one year (Master’s = one year) of work experience.
  
  
  

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomms toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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If you would like more information about this role, please contact Qualcomm Careers.

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