Data Scientist

Amgen

Hyderabad

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Job summary

A global biotechnology company in Hyderabad is seeking a motivated Data Scientist to enhance compliance and audit capabilities through advanced analytics. The ideal candidate will apply machine learning, analyze complex data, and collaborate with various teams. A Bachelor's degree is required, along with experience in Python, SQL, and data visualization tools. This full-time role is integral to driving ethical business operations.

Qualifications

  • 4-6 years of relevant experience with a Bachelor's degree.
  • 4+ years of experience with a Master's degree.
  • 2+ years of experience with a Ph.D.

Responsibilities

  • Apply advanced analytics and statistical modeling for compliance.
  • Develop automated data products for audit processes.
  • Analyze data from various enterprise systems.
  • Collaborate with cross-functional teams for analytics solutions.
  • Present complex analyses to senior stakeholders.

Skills

Python
SQL
Statistical programming
Machine learning
Data visualization
Natural language processing

Education

Bachelor's degree in Data Science or related field
Master's degree in related field
Ph.D. in relevant field

Tools

Alteryx
Tableau
Databricks
SAS
AWS

Job description

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.

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
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field, with 4–6 years of relevant experience
  • OR Master’s 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.
Seniority level

Not Applicable

Employment type

Full-time

Job function

Finance and Accounting/Auditing

Industries

Biotechnology Research and Pharmaceutical Manufacturing

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