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 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)
KPMG LLP and its subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M381U_3_26
