Internal Audit VP Data Scientist
Core
Lead feasibility assessments and prototype development for advanced analytics and machine learning solutions to strengthen audit assurance and efficiency.
Role type
Senior IC data scientist (audit analytics)
Builds
Proof-of-concept analytics prototypes and feasibility studies for audit use cases
Domain
Financial services / Internal Audit / Machine Learning
Deliverable
production ML models
Required skills
machine learning, deep learning frameworks, natural language processing, data analysis, data visualization, Agile delivery, stakeholder alignment, problem-solving, documentation
Preferred skills
proof-of-concept prototyping, analytics in audit/risk/compliance, facilitating sessions with senior leaders, project management tools
Technologies
deep learning frameworks, NLP techniques, data visualization tools
Responsibilities
Evaluate and develop new analytics ideas aligned with audit priorities; facilitate stakeholder sessions to refine problem statements; define expected benefits and gather evidence for proposals; present findings and recommendations to decision-makers; lead feasibility work including environment setup, data acquisition, and prototyping; produce documentation and ensure hand-off to product owners; promote collaboration and experimentation while guiding teams on data governance.
Seniority
Senior, hands-on IC
