Data Scientist

Come join us at Terrestrial Energy, a US developer of advanced, Generation IV nuclear reactors. We are growing our workforce to develop and deploy our Integral Molten Salt Reactor (IMSR) small modular nuclear plant to provide cost-competitive, clean firm heat and power to industry. The Company has recently completed a merger creating a publicly listed operating company (NASDAQ “IMSR”), to secure the capital resources for our next growth phase. With the current alignment of US Federal and State government, as well as industry interest in Small Modular Reactor (SMR) and advanced reactor technologies such as Terrestrial Energy’s IMSR, there is today a unique and compelling opportunity to participate in the execution of the company’s growth business plan. The Company is building a team of high-performing business professionals and leaders in engineering, R&D, product management and business development areas at our Charlotte, North Carolina headquarters and future project sites. We are looking for talented individuals who can help build the organization, processes, and goal-orientated corporate culture to lead the company in our expansion. We are seeking people who: • Have US market experience and perspectives bringing good judgement and innovative approaches to problem solving and business plan execution. • Have demonstrated exceptional performance in past engineering projects. • Offer exceptional leadership and team building capabilities. • Have a deep understanding of the

for advanced reactor development. • Can assist in the creation of the discipline and organized company structure, and contribute to a culture of excellence, necessary for the development and deployment of the Company’s IMSR plant. • Can thrive in a fast growing and opportunity business environment, and are capable of flexibility and adaptability at a time of organizational change. • Have the specific skillset and experience for the following role: The Data Scientist, under the direction of the Digital Engineering Manager, is primarily responsible for partnering with nuclear engineering teams to develop, refine, and scale large-scale models that strengthen engineering analysis, decision-making, and predictive insight across the organization. Other

Include: • Build and maintain analytical models supporting engineering decisions across workforce and schedule forecasting, simulation result aggregation, supplier and supply-chain analytics, and reliability and risk modelling. • Develop reproducible data pipelines that pull from MBSE/PLM, SPDM, schedule, ERP, and simulation output systems and serve cleaned datasets to downstream tools. • Partner with Reactor Physics, Thermal Hydraulics, and Safety Analysis to design analyses over simulation campaigns, including uncertainty quantification, surrogate models, and sensitivity studies. • Produce dashboards, briefings, and technical memoranda that translate analysis into decisions for engineering leadership and program management. • Define the data-quality, versioning, and validation practices that make analyses defensible in a regulated environment. • Contribute to the build-out of internal forecasting and planning tools in collaboration with Software Development. Core Competencies • Statistical modelling (regression, time-series, Bayesian inference, uncertainty quantification, optimization, or simulation based methods. • Python (pandas, NumPy, scikit-learn) and SQL • End-to-end analytics from raw data to actionable insights • Technical communication and stakeholder collaboration • Reproducible workflows, versioning, validation, and documentation