Data Scientist II

Intact FCMississauga, ON
CA$94,200 - CA$115,200Hybrid

About The Position

We’re looking for Data Scientist II to join our growing teams. You’ll build and deliver data science solutions end-to-end, framing problems with partners, developing and validating models with strong scientific practices, and contributing to a team culture of high-quality engineering, knowledge sharing, and continuous improvement.

Requirements

  • Degree in a relevant discipline (e.g., mathematics, engineering, operations research, statistics, geomatics, AI) or an equivalent combination of education and experience.
  • 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 (e.g., version control, peer review); experience writing tests and producing clear technical documentation.
  • Solid understanding of machine learning methods and when to use them; comfortable explaining results and limitations to both 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.
  • No Canadian work experience required however must be eligible to work in Canada.

Nice To Haves

  • Insurance Pricing / Segmentation (e.g., GLM/GBM, segmentation, model calibration, portfolio impact measurement).
  • AI Governance experience / AI tool building for underwriting
  • Call Center Optimization (e.g., demand forecasting, staffing/queueing concepts, routing optimization, speech/text analytics).
  • Intelligent Document Processing and Information Retrieval (e.g., document preprocessing, classification and summarization, advanced information retrieval, LLM-assisted and Agentic workflows, Complex decision making).
  • Usage-Based Insurance (UBI) / telematics (e.g., time-series feature engineering, driver scoring, monitoring drift/seasonality).

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 (e.g., experiment design, appropriate validation, model evaluation, monitoring) and continuously improve how we measure quality and impact.
  • Work independently on scoped problems—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 closely with stakeholders across the organization to define success metrics, communicate trade-offs, and enable data-driven decisions.
  • Support and elevate teammates by collaborating on technical challenges, sharing best practices, and contributing 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 our approaches and platforms.
  • Maintain and improve data science tools and platforms, helping ensure efficiency, reliability, and repeatability of our work.

Benefits

  • Flexible work arrangements and a hybrid work model
  • Possibility to purchase up to 5 extra days off per year
  • Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
  • Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)
  • Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance): 10%
  • Employee Share Purchase Plan (ESPP) – with Intact matching 50% of your net shares.
  • Defined benefit pension plan
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