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Manager, Economic Services - Data Science

Date Posted: Oct 27, 2026
Yearly: USD - USD

Job Detail

  • location_on
    Location Mclean, Virginia, United States of America
  • desktop_windows
    Job Type: Permanent
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
  • calendar_view_day
    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
  • calendar_month
    Apply Before: Jan 25, 2027

Job Description

Overview

Overview In this role you drive econometric and AI-enabled analytics for public and private sector clients, shaping solutions that tackle complex economic and regulatory questions. You will design and productionize AI/NLP products and RAG systems, collaborating with cross-functional teams and contributing to client-facing insights. You'll steward internal tools and publish robust prototypes and production-ready code. Your work translates technical findings into clear, impactful reports and dashboards. This is a chance to influence high-stakes outcomes within a leading professional services firm. Compensation / Benefitsmedical and dental plansvision coveragedisability and life insurance401(k) planswell-being benefitsPersonal Time Off ResponsibilitiesCreate econometric, ML and DL models on economic, regulatory and policy issues for diverse clientsDevelop and deploy LLM-powered applications and Agentic AI system design for complex tasksDesign, build, and productionize Retrieval-Augmented Generation (RAG) systems including ingestion, embeddings, vector search, and orchestrationContribute to and maintain a repository of internal tools and client-facing solutions-showcasing best practices in software development and model deploymentDevelop prototypes and production-level code for AI/ML applications; create PoCs and MVPsCraft insightful narratives from analyses and translate into dashboards and reports accessible to technical and non-technical audiencesAct with integrity and professionalism to uphold KPMG's respectful work environment Key requirementsMinimum five years of advisory-related experience in quantitative analysis, consulting, or related scientific laboratory backgroundPhD in Computer Science, Mathematics, Mathematical Statistics, or Electrical EngineeringPortfolio of projects demonstrating AI/ML model and NLP deployment expertiseExperience building data science or LLM-based products with demonstrated personal code contributionsExperience with complex economic and statistical modeling using Python or RStrong written and verbal communication skills; able to work autonomously and in teamsAuthorized to work in the US without visa sponsorship now or in the futurestrong written and verbal communicationautonomy and teamworkprofessionalism and integrityeconometric analysismachine learning and deep learningLLM-based product development

Key responsibilities

Not specified in the original listing.

Required skills

  • Science & Technology

What the company offers

Not specified in the original listing.

Skills Required

Company Overview

Chicago, Illinois, United States of America

KPMG is a global network of professional services firms providing audit, tax, and advisory services. With a commitment to fostering innovation and talent development, KPMG supports its employees with ample opportunities for advancement and skill enha... Read More

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