Hiring: Cost Estimator Company: The Nuclear Company Location: Columbia, SC Job Posted Time: 2026-09-03 10:23:00 Target Skills & Keywords : Machine Learning About the job Experience: •15+ years of experience in project controls •5+ years of experience as an estimator on large project •In-depth knowledge of project lifecycle and work breakdown structures •Exceptional attention to detail and ability to manage multiple priorities in a dynamic environment •Proficiency with estimating software and cost databases for developing and maintaining structured, auditable cost estimates Required Skills: •Estimate Development: Given a scope of work, the estimator will work with key stakeholders to develop an estimate aligned with the requisite AACE classifications appropriate for the phase of the project •Create a Basis of Estimate: In support of the estimate, the BOE shall provide enough information a reasonable individual can reach the same outcome •Cross-Functional Collaboration & Stakeholder Alignment: Collaborate with engineering, procurement, construction, commissioning & testing, regulatory, and project controls teams to collect inputs to support estimate development •Risk and Assumption Identification: Based on inputs, the estimator will identify key risks and assumptions associated with each element of the estimate. The estimator will work with risk personnel to ensure quantitative analysis is performed based on this information and included in the basis of estimate •Estimating Software & Database Management: Utilize industry-standard estimating platforms (e.g., HCSS HeavyBid, InEight Estimate, Sage Estimating, or CostOS) to develop, organize, and maintain detailed cost estimates with traceable line items, historical benchmarking, and parametric modeling capabilities •AI-Enhanced Cost Modeling: Leverage AI and machine learning tools to analyze historical project data, identify cost drivers, improve estimate accuracy, and perform automated benchmarking against comparable projects across the fleet •Proficiency with estimating software and cost databases (e.g., InEight, CostOS, RSMeans, or equivalent) for developing and maintaining structured, auditable cost estimates •Operational familiarity with AI/machine learning applications for parametric estimating, historical data analysis, or probabilistic cost modeling (e.g., Monte Carlo simulation tools, @Risk, Crystal Ball) Qualifications: •PMP or PMI-SP certification a plus •Bachelor's degree or equivalent work experience Compensation: •$150,000 - $173,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!