Position Details
About this role
Lead Data Science Internal Audit to design and implement analytics, predictive models, and dashboards that enhance audit coverage and continuous monitoring.
Key Responsibilities
- Design and implement advanced statistical models; Develop population-level analytics; Collaborate with audit teams; Build predictive models; Create automated data pipelines and monitoring dashboards
Technical Overview
Hands-on analytics with Python, SQL, R; visualization with Power BI/Tableau; NLP and ML techniques for auditing contexts.
Ideal Candidate
The ideal candidate is an experienced data scientist within internal audit, capable of building predictive models and automated analytics to strengthen risk-based auditing.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of 6+ years of relevant experience, Inability to demonstrate proficiency in Python/SQL/R, No experience with Power BI/Tableau
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