Data Scientist II

Intact; Toronto; On-site; CAD 94,200 - 115,200; Full time

Benefits offered by this job

Annual Bonus Target

Employee Share Purchase Plan

Defined benefit pension plan

Job summary

Intact in Toronto is seeking a candidate to develop analytics and machine learning solutions, delivering clear insights from complex data. This role requires a degree in a relevant field, strong Python skills, and experience in statistics and data mining.

The ideal candidate will work independently, write stable code, and partner with stakeholders to enable data-driven decisions. Intact offers a competitive salary range and bonuses, along with a diverse and inclusive workplace culture.

Qualifications

• 2+ years of experience in advanced statistics or data mining.
• Strong Python skills and experience in Git-based development.
• Solid understanding of machine learning methods.

Responsibilities

• Build and deliver analytics and machine learning solutions.
• Write production-quality stable and maintainable code.
• Partner closely with stakeholders to define success metrics.

Skills

Advanced statistics

Data mining

Python

Machine learning methodology

Problem-solving

Communication skills

Education

Degree in related field

Tools

Git

Job description

Compensation

Salary Range (but Not Limited To): 94,200 - 115,200 (based on a 35‑hour workweek). Additional factors such as experience, skills, and anticipated contribution may influence the final offer.

Annual Bonus Target based on the base salary, with a potential payout of up to double the target (subject to personal and company performance). Target bonus: 10%.

Employee Share Purchase Plan (ESPP) – Intact matches 50% of your net shares.

Pension offerings include a defined benefit plan that can provide guaranteed income for life.

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.

Qualifications

• 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; must be eligible to work in Canada.

Assets (nice to have)

• 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).

Equal Opportunity Employer

We are an equal opportunity employer. At Intact, our value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives. We encourage applications from individuals who are members of equity‑deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community. We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.