Tax / Experienced / Manager Manager, Economic Services - Data Science

Kpmg LLP
McLean, VA, United States
19 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Working hours
Regular working hours

Tech stack

Artificial Intelligence Github Python (Programming Language) Machine Learning Software Engineering Large Language Models Information Technology Machine Learning Operations

Job description

  • 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 KPMGs respectful and courteous work environment

Requirements

  • 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)

Benefits & conditions

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 applicants 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=M381J_3_25

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 KPMGs 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.

About the company

At KPMG, you can become an integral part of a dynamic team at one of the worlds top professional services firms. Enjoy a collaborative, future-forward culture that empowers your success. Work with KPMGs 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 its an investment in our people, our future, and what we stand for as a firm.

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