Data Scientist

Data Scientist Compliance & Internal Audit Support (Hyderabad, India)

Overview

We are seeking a highly motivated Data Scientist to join our Corporate Audit and Worldwide Compliance & Business Ethics teams in Hyderabad, India. This role is ideal for a self-starter who thrives on continuous improvement, innovation, and applying advanced analytics to strengthen compliance and audit capabilities. The Data Scientist will leverage both proven technologies and emerging tools including generative and agentic AI to deliver impactful insights that drive ethical, compliant, and efficient business operations.

Key Responsibilities

Apply advanced analytics, statistical modeling, and machine learning to produce actionable insights that support compliance monitoring, auditing, and risk assessment.

Develop scalable, automated data products and pipelines to improve audit and compliance processes. Stay current with new advances in AI, including generative and agentic AI applications.

Access and analyze data from multiple enterprise systems (e.g., SAP, Concur, Salesforce.com) to identify patterns, trends, and anomalies in transactions.

Partner with cross-functional teams across Compliance, Internal Audit, Commercial, R&D, and IS to design and deliver innovative analytics solutions.

Develop and maintain familiarity with global healthcare compliance standards, U.S. Federal (e.g., Sunshine Act / Open Payments, CMS), state transparency regulations, and industry codes (e.g., PhRMA Code).

Present complex analyses and insights clearly to diverse audiences, including senior stakeholders.

Support priority projects and provide ad hoc analytics where needed.

Basic Qualifications

Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field, with 46 years of relevant experience OR Masters degree with 4+ years of relevant experience OR Ph.D. in a relevant field with 2+ years of experience

 

Preferred Qualifications

Strong proficiency in Python and SQL; familiarity with statistical programming and machine learning frameworks.

Experience with data platforms such as Alteryx, Tableau, Databricks, SAS, or cloud-based solutions (AWS preferred).

Demonstrated ability to work with structured and unstructured data, including text and natural language processing.

Hands-on experience with data visualization and building intuitive dashboards for non-technical audiences.

Familiarity with AuditBoard or similar governance, risk, and compliance tools is a plus.

Proven ability to thrive in a team-oriented, cross-functional environment with strong communication skills.

Innovative mindset with a passion for leveraging emerging AI technologies in compliance and audit contexts.

Detail-oriented, proactive, and comfortable managing multiple projects in a dynamic environment.