Help shape a data-enabled future for audit. You will lead the refinement and prototyping of advanced analytics ideas that strengthen assurance, improve efficiency, and deliver clearer insights.
As a Data Scientist on the Internal Audit, Data Analytics team, you will partner closely with audit stakeholders to turn promising ideas into development-ready prototypes. Working with global colleagues, you will guide concepts from early problem framing through feasibility assessment, proof-of-concept development, and hand-off to a product owner.
You will combine strong leadership with deep technical expertise to help teams adopt innovative approaches to testing business and technology controls
- Evaluate and develop new analytics ideas, ensuring alignment with audit priorities and organizational goal
- Facilitate stakeholder sessions to refine problem statements and confirm a shared understanding of the need
- Define expected benefits and gather empirical evidence to support proposals and prioritization
- Present findings and recommendations to decision-makers to support clear Go/No-Go outcomes
- Lead feasibility work (environment setup, data acquisition, prototyping, and results review) and iterate based on learnings
- Produce clear documentation and ensure effective hand-off of artifacts to the product owner for downstream delivery
- Promote collaboration, critical thinking, and experimentation, and support teams in understanding data governance and required use-case approvals
- Demonstrated leadership and influencing skills, with the ability to gain alignment across varied stakeholder groups
- Advanced knowledge of machine learning methods, deep learning frameworks, and natural language processing techniques
- Strong analytical and problem-solving skills to assess feasibility and translate ideas into actionable prototypes
- Excellent written and verbal communication skills, including the ability to explain complex concepts clearly
- Experience managing multiple initiatives concurrently, including use of Agile delivery practices
- Hands-on technical proficiency in data analysis and visualization tools
- Strong documentation discipline, including the ability to produce development-ready artifacts and decision materials
- Experience building proof-of-concept prototypes and transitioning them to delivery teams through structured hand-offs
- Familiarity with analytics use in audit, risk, compliance, or control testing environments
- Experience facilitating working sessions with senior leaders and cross-functional teams
- Proficiency with common project management tools used to track and deliver concurrent initiatives