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 Economic & Statistical Consulting 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 thepublic and private sector
  BuildLLM-powered applications and contribute to Agentic AI system design for complextasks
• Design,build, and productionize Retrieval-Augmented Generation (RAG) systems,including document ingestion, embedding pipelines, vector search, and LLMorchestration
• Contributeto and maintain a repository of internal tools and client-facing solutions,showcasing best practices in software development and model deployment
• Developand document prototypes and production-level code for a variety of AI andmachine learning applications; develop proof of concept, prototype, and minimumviable products
• Craftrigorous, insightful narratives on the issues under analysis and translatethese into informative professional reports, dashboards, and visualizationsthat 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:

• Minimumfive years of recent experience with advisory related projects within aquantitative analysis firm, consulting firm, or background in a scientificlaboratory
• PhD inthe areas of Computer Science, Mathematics, Mathematical Statistics, ElectricalEngineering is required
• Aportfolio of projects (such as via GitHub, personal website, or other platforms)that demonstrates expertise in building and deploying AI/ML models and NLPsolutions
• Experiencebuilding data science or LLM-based products, with a demonstrable track recordof your personal contributions to the codebase
• Demonstratedexperience in the development, application and interpretation of complexeconomic and statistical modeling frameworks using Python or R
• Strongwritten and verbal communication skills, excellent research skills, and theability to work well both autonomously and in a team environment
• Applicantsmust be authorized to work in the US without the need for employment-based visasponsorship 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)