Manager, Economic Services - Data Science

Manager, Economic Services - Data Science KPMG life insurance, 401(k) United States, York, York Jun 03, 2026 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 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 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.