Data Scientist
About this opportunity
Career Category
Finance
Job Description
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
• 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.
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Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 1097 comparable Information Technology roles across 55 biopharma companies.
Salary context
143 of 1097 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 1097 comparable roles
+ 23 more countries
Seniority mix
612 of 1097 peers have a known seniority level
Therapeutic area mix
1 of 1097 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.