Senior Data Scientist, Vice President - Corporate Functions Technology

Who We Are Looking For

We are seeking a Senior Data Scientist, Vice President to design and deliver advanced analytics and machine learning solutions supporting our Internal Audit Functions
. In this hands‑on role, you will apply statistical modeling, machine learning, and responsible AI to drive risk‑based audit planning, continuous risk monitoring, and actionable insights in a regulated enterprise environment.

This is a senior individual‑contributor role with end‑to‑end accountability for model development, governance, and delivery. You will serve as a senior technical leader and subject‑matter expert, partnering closely with audit, data engineering, and architecture teams to embed analytics and AI into audit workflows in a way that enhances auditor effectiveness and meets enterprise and regulatory standards.

• Design, build, and refine statistical and machine learning models to identify risk patterns such as trends, clusters, outliers, and anomalies.
• Generate ranked risk signals and insights to support auditor review, prioritization, and decision‑making.
• Apply predictive analytics and historical audit data to enable risk‑based audit planning and continuous risk monitoring.

• Ensure all models meet enterprise standards for explainability, validation, auditability, and ongoing performance monitoring
  , with clear documentation of intended use and limitations.
• Lead the design and build of GenAI and LLM‑based solutions
  , including prompt design and output evaluation, ensuring results are grounded, traceable, and subject to appropriate human review.

• Own feature engineering and data profiling strategies, partnering with data engineering to curate high‑quality, representative datasets.
• Design and operate robust model evaluation and monitoring frameworks, including metric selection, validation, error analysis, drift detection, and ongoing performance tracking.

• Partner with Internal Audit and Technology stakeholders to align analytics with audit methodology and real‑world needs.
• Translate complex analytical results into clear, actionable insights for non‑technical audiences.
• Support adoption through documentation, training, and integration into audit workflows with defined review checkpoints.

• End‑to‑end model delivery — ability to build, validate, deploy, and monitor models with clear explainability and auditability in a regulated environment.
• Risk‑focused applied machine learning — skill in identifying patterns (trends, clusters, outliers, anomalies) and translating them into ranked, reviewable risk signals.
• Rigor in evaluation and monitoring — experience defining fit‑for‑purpose metrics, running thorough validations, performing error analysis, and implementing drift detection and ongoing performance tracking.
• Strong data instincts — emphasis on data profiling, feature engineering, and data quality, with close partnership with engineering to curate representative datasets.
• Responsible GenAI / LLM development — ability to iterate prompts and evaluation approaches while ensuring outputs are grounded, traceable, and subject to appropriate safeguards and human review.
• Hands‑on technical excellence — expert Python skills, strong software engineering practices for reliable ML/data pipelines, solid SQL, and experience with enterprise‑scale data tooling.
• Cloud‑first ML execution (AWS) — experience developing and deploying machine learning solutions in AWS, particularly using Amazon Sage Maker.
• Stakeholder partnership and communication — ability to translate complex analytics into clear, actionable insights aligned to audit methodology and usable by non‑technical stakeholders.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering
  , or a related quantitative field
• 7+ years of hands‑on experience in data science, machine learning, or advanced analytics, including deploying models into production
• Strong proficiency in Python and common ML/data libraries (e.g., pandas, scikit‑learn, Tensor Flow, PyTorch)
• Solid…