Data Scientist II

Intact FC • Mississauga, ON

5d • CA$94,200 - CA$115,200 • Hybrid

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed