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Lead Data Scientist – Finance & Accounting Automation

Reads like a ML Engineer role: putting models into production.

Hyderabad, TS, IN

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Apply at Qualcomm

What you’ll work on

Full posting

The Data Scientist – Record to Report will focus on designing, developing, and maintaining AI-driven solutions that support and enhance R2R processes.

Data Science, AI & Automation Delivery: ~80%

  • Design, build, deploy and maintain AI/ML solutions for R2R use cases

  • Develop Python data pipelines for ERP and finance data

  • Build and maintain ML models, LLM tools, or AI agents for R2R productivity

  • Monitor model performance, data quality and drift; improve models after deployment

  • Partner with Enterprise AI, IT and Data Platform teams on integration and deployment

From the employer’s posting
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.
Data Science, AI & Automation Delivery: ~80%
Design, build, deploy, and maintain AI/ML solutions supporting R2R use cases
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.
Monitor solution performance, data quality, and model drift; continuously improve models post-deployment.
Partner with Enterprise AI, IT, and Data Platform teams for integration and deployment.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field.
Qualification wording
Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field. • 3+ years of Data Science or related work experience.
Education & alternatives
Required Qualifications * Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Engineering, or related field. * 4–6+ years of hands-on experience in data science, analytics, or machine learning.
Minimum Qualifications: • Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field. • 3+ years of Data Science or related work experience. *Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of work experience.
• Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field. • 3+ years of Data Science or related work experience. *Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) 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 Qualcomm's 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).

Tools in this posting

  • Python
Source — Tool mentions in context
* 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.
* 4–6+ years of hands-on experience in data science, analytics, or machine learning. * Strong proficiency in Python and common data science libraries. * Experience building, training, and deploying ML models or AI solutions.

Posting record

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Status in our records
Live
First seen by us
Aug 15, 2026 · 77 days ago
Recorded sightings
125
Last seen by us
Oct 31, 2026

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Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

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Job description

View original posting ↗

## 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 * Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Engineering, or related field. * 4–6+ years of hands-on experience in data science, analytics, or machine learning. * Strong 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, Statistics, Mathematics, or related field. • 3+ years of Data Science or related work experience. *Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) 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 Qualcomm's 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. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.
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Location & working pattern

Hyderabad, TS, IN

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