Risk Model Engineer — Gas Distribution Integrity

Location: Remote (US or Canada)
Department: Insights (AI/ML)
Reports to: Data Science Team Lead

About the Role

Irth is building a new AI-driven threat and risk management platform for pipeline asset integrity. The platform brings together three capabilities that have never previously lived in one place at Irth:

• A governed, cross-product data platform built on Databricks and Azure.
• An AI-powered ingestion layer that normalizes, repairs, and enriches customer data without services-heavy onboarding.
• A reusable analytical layer that runs industry-standard, Irth-developed, and customer-built risk models against that data.

We are hiring a Risk Model Engineer to own the gas distribution risk models within that analytical layer.

Distribution is a new model domain for the platform. The threat framework and model set are being defined now in collaboration with subject-matter experts and design-partner operators. In this role, you will help define the models, build them, and take them through validation—producing outputs that utilities can use to prioritize replacement programs and support regulatory proceedings.

The modeling work focuses on large populations of buried assets with relatively few observed failures, incomplete records, and limited direct inspection data. The work spans physics-based probabilistic models and machine learning, with an emphasis on producing risk rankings that remain explainable, calibrated, and defensible.

You will own the model content: what the model computes, why it computes it, and the evidence supporting its validity.

Productionization—including model serving, data pipelines, deployment, and monitoring infrastructure—is owned by dedicated ML Ops and data engineering roles with whom you will work closely.

Key Responsibilities

1. Threat Framework & Integration

• Translate the gas distribution threat framework, in collaboration with subject-matter experts, into systematic threat identification methods and supporting data structures.
• Integrate model inputs from diverse datasets across Irth's product offerings.
• Identify gaps, inconsistencies, and limitations in source data and determine how they should be reflected in model inputs and outputs.

2. Model Development

• Extend threat coverage across domains, including:
• Legacy material corrosion
• Plastic embrittlement
• Excavation damage
• Cross-bores
• Other gas distribution

Requirements

Skills We're Hiring For

We are hiring across a broad range of capabilities and do not expect a single candidate to have all of them. We are looking for strong depth in one or more areas and the curiosity and judgment to work across the others.

Relevant experience may include:

• Gas distribution integrity management — program design, threat identification under 49 CFR Part 192, Subpart P, and replacement prioritization, from the operator, consultancy, regulator, or technology-vendor side.
• Legacy material risk — cast iron, bare steel, vintage plastics, and plastic embrittlement.
• Leak survey, methane detection, and cross-bore programs.
• Machine learning applied to physical asset data, including time-series, survival, anomaly-detection, and classification models trainer

Benefits

Benefits

• Competitive Salary – A competitive compensation package based on experience and qualifications.
• Medical, Dental, and Vision Insurance – Comprehensive insurance coverage to support you and your family.
• 401(k) Plan with Company Match.
• Generous Paid Time Off (PTO) – Time off to support work-life balance and personal needs.
• Company-Paid Holidays – Paid holidays throughout the year.
• Flexible Work Options – Work-from-home opportunities are available, depending on role and business needs.
• On-Call Compensation – Additional pay for eligible on-call shifts.