Risk Model Engineer – Pipeline Integrity

Irth Solutions

. Migrate existing probabilistic model code to the new risk management platform .

Posted 10/23/2026full-timeRemote • United States, CanadaMid-LevelSenior💰 $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in probabilistic risk modeling and validation within the North American oil and gas transmission sector, with a strong focus on integrating diverse datasets and adhering to regulatory standards. Proficient in applying machine learning techniques to enhance model accuracy and reliability for pipeline integrity assessments.

Highest-signal resume keywords

Probabilistic Risk ModelingNorth American Oil And Gas Transmission ExperienceMachine Learning ApplicationRegulatory Compliance KnowledgeGeospatial Risk Assessment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonMonte Carlo SimulationAnomaly DetectionTime-Series ModelingCorrosion Growth ModelingFracture MechanicsRisk AssessmentReliability ModelingData ValidationTechnical Documentation

Soft Skills

Analytical ThinkingProblem-SolvingCollaborationCommunication

Tools & Technologies

ArcGISPostGISMachine Learning FrameworksAI Coding Assistants

Industry Keywords

ASME B31.8S49 CFR 192CSA Z662Integrity ManagementHigh-Consequence AreasIn-Line InspectionFitness-For-ServiceRemaining-Strength Assessments

Tech Stack

Tools & technologies

PostGISPython

About the role

Key responsibilities & impact

Migrate existing probabilistic model code to the new risk management platform
Validate results against current production implementations
Integrate model inputs from diverse datasets across Irth’s product offerings
Extend threat coverage across transmission pipeline integrity domains, including corrosion, cracking, third-party damage, and outside forces
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
Support customer-driven model development on the platform
Develop, evaluate, and present sensitivity analyses for model offerings
Validate model outputs against customer data, known outcomes, and regulatory expectations
Partner daily with ML Ops and data engineering teams while owning model methodology, content, validation, and supporting evidence

Requirements

What you’ll need

Practical North American oil and gas transmission experience is the highest priority
Experience with North American oil and gas transmission integrity management
Knowledge of applicable standards and regulations such as ASME B31.8S, 49 CFR 192, CSA Z662, or equivalents
Familiarity with fitness-for-service, remaining-strength assessments, corrosion growth modeling, or fracture mechanics
Experience with in-line inspection (ILI) vendor data formats, data alignment, anomaly classification, and feature disposition
Experience with high-consequence areas, class-location analysis, or related pipeline risk assessment requirements
Experience preparing technical documentation and validation evidence for regulatory review, audits, or formal assessments
Experience building or validating risk, reliability, or failure models for physical infrastructure
Familiarity with Monte Carlo simulation, structural reliability, uncertainty quantification, or related probabilistic methods
Experience applying machine learning to time-series, survival, anomaly detection, or classification problems involving physical asset data
Experience training and validating models on sparse, imbalanced failure events is particularly valuable
Experience with ArcGIS, PostGIS, linear referencing, or geospatial risk assessment
Python and sound software engineering practices, including testing, code review, reproducibility, and disciplined use of AI coding assistants
Comfort working with incomplete, inconsistent, and imperfect data
Ability to distinguish a defensible, validated model from one that simply produces a number

Benefits

Comp & perks

Competitive compensation package based on experience and qualifications
Medical, Dental, and Vision Insurance
401(k) Plan with Company Match
Generous Paid Time Off (PTO)
Company-Paid Holidays
Flexible Work Options / work-from-home opportunities
On-Call Compensation for eligible on-call shifts