Senior Data Scientist, Vice President

Who We Are Looking For

We are seeking a Senior Data Scientist, Vice President to design and deliver advanced, data driven AI solutions supporting our Internal Audit Functions. In this hands‑on role, you will build the most relevant solutions leveraging a variety of methods including statistical models, machine learning, generative AI and agentic AI to drive measurable benefits and outcomes in a regulated enterprise audit environment.

This is a senior individual‑contributor role with end‑to‑end accountability for delivery. You will serve as a senior technical leader and subject‑matter expert, partnering closely with auditors, data engineers, solution architects, product managers, and change specialists to embed AI into redesigned audit workflows in a way that enhances auditor effectiveness and meets enterprise and regulatory standards.

What You Will Be Responsible For

Solution Design & Strategy

• Lead the end-to-end design of advanced analytics and AI solutions for complex, high-impact audit challenges, translating ambiguous business problems into scalable, data-driven approaches.

• Define solution architecture and strategic direction, evaluating multiple design patterns (analytical, ML, GenAI) to ensure alignment with audit objectives, enterprise standards, and long-term sustainability.

• Drive rapid prototyping and iterative delivery, incorporating structured stakeholder feedback loops while maintaining clear product vision and prioritization discipline.

• Optimize trade-offs across speed, model performance, scalability, cost, and operational risk, ensuring solutions are production-ready and deliver measurable business value.

Model Strategy, Selection & Development

• Establish and own model selection frameworks, determining when to leverage existing models versus developing bespoke analytical or AI solutions (statistical, ML, SLM, LLM).

• Design, develop, and refine advanced models that generate actionable, audit-relevant insights, with strong emphasis on interpretability and decision usefulness.