Manager, Economic Services - Data Science

At KPMG, you can become an integral part of a dynamic team at one of the world's top professional services firms. Enjoy a collaborative, future-forward culture that empowers your success. Work with KPMG's extensive network of specialists & enjoy access to our Ignition Centers, where deep industry knowledge merges with cutting-edge technologies to create innovative solutions. Join a diverse team helping high-profile clients understand, analyze, and respond to complex business opportunities and challenges. Develop your career through a range of multifaceted engagements, formal training, and informal mentoring. At KPMG, we believe nothing is more important than investing in our culture because it's an investment in our people, our future, and what we stand for as a firm.

KPMG is currently seeking a Manager, Economic Services - Data Science  to join our practice.

Responsibilities:

• Create econometric analysis, machine learning and deep learning models on economic, regulatory and policy issues of significance to a range of clients in the public and private sector
• Build LLM-powered applications and contribute to Agentic AI system Design for complex tasks
• Design, build, and productionize Retrieval-Augmented Generation (RAG) systems, including document ingestion, embedding pipelines, vector search, and LLM orchestration
• Contribute to and maintain a repository of internal tools and client-facing solutions, showcasing best practices in software development and model deployment
• Develop and document prototypes and production-level code for a variety of AI and machine learning applications; develop proof of concept, prototype, and minimum viable products
• Craft rigorous, insightful narratives on the issues under analysis and translate these into informative professional reports, dashboards, and visualizations that are accessible to technical and non-technical audience
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
  

Qualifications:

• Minimum of five years of recent experience with advisory related projects within a quantitative analysis firm, consulting firm, or background in a scientific laboratory
• PhD in the areas of Computer Science, Mathematics, Mathematical Statistics, Electrical Engineering is required
• A portfolio of projects (such as via GitHub, personal website, or other platforms) that demonstrates expertise in building and deploying AI/ML models and NLP solutions
• Experience building data science or LLM-based products, with a demonstrable track record of your personal contributions to the codebase
• Demonstrated experience in the development, application and interpretation of complex economic and statistical modeling frameworks using Python or R
• Strong written and verbal communication skills, excellent research skills, and the ability to work well both autonomously and in a team environment
• Applicants must be authorized to work in the US without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)