Risk Model Engineer — Pipeline Integrity (Transmission) Remote (US or Canada) Insights (AI/ML) Data Science Team Lead Risk Model Engineer – Oil & Gas Transmission Irth Solutions builds advanced technology that empowers the people who keep our lights on, water running, and pipelines flowing. Our tools enhance the safety, reliability, and efficiency of critical infrastructure and the field technicians, engineers, and analysts who operate it. We’re building a recent AI-driven threat and risk management platform for pipeline asset integrity, and we’re looking for a Risk Model Engineer to own the transmission risk models that power its analytical layer. Operators already run our probabilistic threat models in production today. You’ll migrate these models to our new platform, validate them against existing implementations, extend coverage across the transmission threat landscape, and help build Irth’s own model library. Your work will produce risk assessments and reliability calculations that pipeline operators can explain, defend, and support under regulatory scrutiny. Practical experience in North American oil and gas transmission is our top priority. Remote within the United States or Canada, with

working hours
within approximately four hours of Central Time. Migrate existing probabilistic model code to the recent risk management platform and validate results against the current production implementation. Extend threat coverage across transmission pipeline integrity domains, including corrosion, cracking, third-party damage, outside forces, and other relevant threats. Design and build time-series, anomaly detection, and geospatial models using inspection, sensor, maintenance, and related data.



Implement industry-standard probabilistic risk models within the analytical layer and support customer-driven model development on the platform. Develop, evaluate, and present robust sensitivity analyses for all model offerings. Validate model outputs against customer data, known outcomes, and applicable regulatory expectations. Partner daily with ML Ops and data engineering teams, who own productionization, while you own the model methodology, content, validation, and supporting evidence. What Will Help You Succeed Practical North American oil and gas transmission experience is our highest priority. We’re looking for a combination of industry knowledge, quantitative modeling expertise, and sound engineering judgment across the two hires. Transmission pipeline integrity: Experience with pipeline integrity management, threat identification, risk assessment, and integrity mitigation or remediation prioritization. Familiarity with transmission pipeline threats such as external and internal corrosion, cracking, third-party damage, and other relevant threats. Probabilistic risk modeling: Experience developing, implementing, migrating, or validating probabilistic models used to assess pipeline integrity or asset risk. Inspection and operational data: Familiarity with in-line inspection (ILI), pipeline inspection records, sensor data, maintenance histories, or related operational datasets. Reliability and sensitivity analysis: Experience evaluating model assumptions, uncertainty, sensitivity,



and the impact of risk factors on model outputs. Regulatory and customer-facing work: Experience supporting regulatory reviews, integrity assessments, audits, or customer decisions with clear, defensible technical evidence. Experience applying machine learning to physical asset data, including time-series analysis, anomaly detection, classification, survival analysis, or related methods. Geospatial analysis: Experience with spatial data, GIS tools, or geospatial risk assessment. Python and software engineering: Sound engineering practices, including testing, code review, reproducibility, and disciplined use of AI coding assistants. Real-world data and model judgment: Comfort working with incomplete or inconsistent data and the ability to distinguish a defensible, validated model from one that simply produces a number. Your work will help pipeline operators better understand threats, quantify risk, and make defensible integrity management decisions. You’ll contribute to the evolution of models already used in production while helping establish the analytical foundation of a new AI-driven platform. You’ll work at the intersection of pipeline engineering, probabilistic risk, machine learning, and software development, with a direct impact on the safety and reliability of critical energy infrastructure. This is a remote position open to candidates based in the United States or Canada, with

working hours
that overlap within approximately four hours of Central Time. What Will Help You Succeed North American oil and gas transmission experience is our highest priority. Candidates with deep practical industry experience or strong risk modeling expertise are encouraged to apply, pr

📌 Risk Model Engineer (Ottawa)
🏢 Irth Solutions
📍 Ottawa