Audit Chief Data Office - Data Scientist - Senior Associate

About the role

Join our Audit Data Strategy Team as a Data Science Associate, where you'll have the opportunity to impact the Audit business through data-driven solutions and insights. This role offers career growth and the chance to work on strategic, high-visibility projects. You will develop AI/ML solutions to influence how risk is identified, assessed, and mitigated across the firm, design and implement advanced AI/ML solutions to enhance control testing, and support strategic initiatives to deliver actionable insights. Collaborate with partners across the Audit business to define problems, scope solutions, and deliver high-quality analytical models. Your work will involve a mix of consulting, data science, and programming, with a focus on driving data science and analytics strategies.

Responsibilities

• Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI.
• Drive data science and analytics strategies, including recommendations on analytical products and standards.
• Help partners define business problems and scope analytical solutions.
• Build an understanding of problem domains and available data assets.
• Research, design, implement, and evaluate analytical approaches and models, including GenAI-based methods.
• Perform exploratory statistics and data mining tasks on diverse datasets.
• Communicate findings and obstacles to stakeholders to drive delivery to market.
• Develop subject matter expertise in financial and operational domains.
• Code solutions with strong programming skills.
• Collaborate across teams to deliver the best solutions for clients.

Requirements

• Bachelor’s degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 3+ years of experience.
• Exceptional analytical, quantitative, problem-solving, and communication skills.
• Intellectual curiosity for solving business problems.
• Leadership and collaboration skills.
• Knowledge of statistical software (e.g., Python, R, SAS) and data querying languages (e.g., SQL).
• Familiarity with GenAI and prompt engineering basics (prompt design, evaluation, guardrails).
• Experience with modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).
• Ability to convey complex information to technical and non-technical audiences.

Preferred Qualifications

• Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM quality, cost, and latency.
• Understanding of key drivers of Risk & Control Frameworks.
• M.S. degree or equivalent.

To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role.