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Intact

Underwrites insurance and manages claims

Data Scientist 2

Data ScienceConfirmed live in the last 24 hours
Full-time$94.2k - $115.2k

About the Job

Requirements

  • A degree in a relevant discipline, such as mathematics, engineering, operations research, statistics, geomatics, or AI, or an equivalent combination of education and experience.
  • At least 2 years of experience in advanced statistics, data mining, and/or text mining, with evidence of delivering real-world outcomes.
  • Strong Python skills and Git-based development practices, including version control and peer review; experience writing tests and producing clear technical documentation.
  • A solid understanding of machine learning methods and when to use them, and the ability to explain results and limitations to technical and non-technical audiences.
  • Strong problem-solving skills and comfort operating in partially defined problem spaces.
  • Strong communication, organizational, and time-management skills in a multi-project environment.
  • Must be eligible to work in Canada; Canadian work experience is not required.

Responsibilities

  • Build, validate, and deliver analytics and machine learning solutions that translate complex data into clear insights and recommendations.
  • Write production-quality code that is stable, testable, and maintainable; contribute to shared standards through code reviews and documentation.
  • Apply sound statistical and machine learning methodology, including experiment design, appropriate validation, model evaluation, and monitoring, and continuously improve measurement of quality and impact.
  • Work independently on scoped problems, moving from ambiguity to implementation, taking ownership of technical tasks, and driving them to completion.
  • Recommend and use appropriate tools, packages, and libraries to solve problems efficiently and reliably.
  • Partner with stakeholders across the organization to define success metrics, communicate trade-offs, and enable data-driven decisions.
  • Collaborate on technical challenges, share best practices, and contribute to a learning culture.
  • Help the team stay focused on priorities by raising risks early, aligning on scope, and contributing to the technical direction and evolution of approaches and platforms.
  • Maintain and improve data science tools and platforms to support efficiency, reliability, and repeatability.

Desired Qualifications

  • Experience with insurance pricing or segmentation, including generalized linear models or gradient boosting models, segmentation, model calibration, and portfolio impact measurement.
  • AI governance experience or experience building AI tools for underwriting.
  • Experience with call center optimization, including demand forecasting, staffing or queueing concepts, routing optimization, and speech or text analytics.
  • Experience with intelligent document processing and information retrieval, including document preprocessing, classification and summarization, advanced information retrieval, large language model-assisted and agentic workflows, and complex decision making.
  • Experience with usage-based insurance or telematics, including time-series feature engineering, driver scoring, and monitoring drift or seasonality.

About the Company

Intact

Underwrites insurance and manages claims

Intact Financial Corporation is a Canadian insurer offering home, auto, and business insurance to individuals and commercial clients, with a significant footprint in the UK and Ireland. It earns revenue from insurance premiums and investment income, underwriting policies and handling claims. The company emphasizes climate resilience, digital engagement, and community well‑being, with about 75% of customers digitally engaged and investments in data and AI startups to drive growth. It differentiates itself through digital accessibility, strong operational performance, and external innovation partnerships, pursuing targets like 10% NOIPS growth and 500 basis points ROE, aiming to outperform the industry combined ratio by 5 points and improve customer experience.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1809

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