About Irth Solutions

Irth Solutions is a leading provider of cloud-based SaaS solutions for damage prevention, asset integrity, stakeholder engagement, and land management. Our technology helps energy, utility, telecommunications, and infrastructure organizations protect and manage critical network infrastructure. With nearly three decades of industry experience, Irth serves customers across North America and continues to expand its platform through data-driven and AI-powered capabilities. About the Role

We are seeking a

Data Scientist

to help analyze, improve, and evolve existing codebases and data-processing pipelines into robust, scalable, and maintainable solutions. In this role, you will work closely with our data and application development teams to develop practical AI and machine learning solutions that support Irth’s core business areas, including

Damage Prevention, Asset Integrity, Land Management, and Stakeholder Engagement . The ideal candidate is comfortable working across data exploration, machine learning, NLP/LLM experimentation, software development, and productionization. Key Responsibilities

Design, prototype, and evaluate

LLM/NLP solutions

to test hypotheses and address business and technical needs, including: Text classification Entity extraction Semantic search Summarization Other natural language processing and AI applications Translate successful prototypes into

production-ready solutions

using clean, modular, maintainable, and well-tested code. Apply sound

object-oriented design and software engineering practices

when developing and restructuring solutions. Analyze and understand existing codebases, data pipelines, and applications to determine what should be preserved, improved, consolidated, or redesigned. Explore, prepare, transform, and analyze data independently using

Databricks

to support machine learning models and data-processing pipelines. Collaborate closely with the data engineering and application development teams to ensure effective integration between

Databricks, data pipelines, models, and application services . Participate in technical discussions and architectural decisions, providing recommendations for effective and maintainable solutions. Help establish development practices that improve the reliability, scalability, testing, and maintainability of data science solutions. Work collaboratively with engineering, data, and leadership teams to translate business requirements into practical technical solutions. What Success Looks Like





In this role, you will help Irth move AI and data science initiatives from

early-stage experimentation to reliable production solutions . You will contribute to building scalable data pipelines, reusable machine learning capabilities, and maintainable software that delivers measurable value across Irth’s products and industries. AI Use in Hiring

As part of our hiring process, this role may use artificial intelligence or automated tools to assist in reviewing and screening applications. These tools support, but do not replace, human judgment in hiring decisions. Role Type

This is a Back fill position. Compensation

The salary range for this role is CAD $ 125505. This range reflects the base salary only and does not include any other compensation components. Any offers made are dependent on factors including and not limited to experience, skills, and location. Requirements

Required Qualifications

3–5 years of experience

in data science, machine learning, or ML engineering, with demonstrated experience developing production-quality code beyond notebooks. Master’s degree or equivalent professional experience

in data science, machine learning, computer science, statistics, or a related field, with a strong foundation in statistics and modeling methodologies. Hands‑on experience developing

NLP and/or LLM-based solutions , including: Retrieval-Augmented Generation (RAG) Embeddings and similarity search, including cosine similarity Hybrid search combining BM25 and semantic search Text deduplication techniques such as fuzzy matching and MinHash Text classification and Named Entity Recognition (NER) Search re-ranking Prompt engineering Strong proficiency in

Python , including experience with pandas, scikit-learn, PyTorch, and other relevant machine learning libraries. Strong understanding of

object-oriented programming, clean code, and software design principles . Strong data analysis skills with experience applying statistical methods such as

exploratory data analysis, hypothesis testing, and statistical modeling . Hands‑on experience with





Databricks or a comparable data/analytics platform , including the ability to independently explore, transform, and prepare data. Solid understanding of the

machine learning lifecycle , including model training, evaluation, deployment, and production monitoring for issues such as model drift and data quality. Experience designing and developing

REST APIs

to expose data, models, or analytical results to downstream applications. Strong written and verbal

communication skills , with the ability to collaborate effectively across technical teams with different responsibilities and priorities. Nice-to-Have Qualifications

Experience working with

news, social media, or other large-scale unstructured text data , including media monitoring, web scraping, or APIs. Domain knowledge or professional experience in

communications, public relations, media, or related industries . Familiarity with the broader

LLM ecosystem , including vector databases/stores, RAG frameworks, and fine-tuning NLP models. Experience with

MLflow or similar experiment-tracking and model-management tools . Basic knowledge of

TypeScript and Node.js . Experience with

CI/CD practices and version control , including Git, GitHub Actions, or equivalent tools. AI Use in Hiring

As part of our hiring process, this role may use artificial intelligence or automated tools to assist with reviewing and screening applications. These tools support, but do not replace, human judgment in making hiring decisions. Role Type

This is a Backfill position. Compensation

The salary range for this role is CAD $80K-120K This range reflects the

base salary only

and does not include any additional compensation components. Any offer of employment is dependent on several factors, including, but not limited to, the candidate’s experience, skills, qualifications, and location. Benefits

Advantages 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.

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📌 Data Science ML/GenAI Engineer (Winnipeg)
🏢 Irth
📍 Winnipeg