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Senior Data Scientist

Intactfc Open · verified Oct 24, 2026
Toronto Full-time Senior Data Science

At a glance

Senior Data Science role at Intactfc. Toronto · full-time · CA$118,700–CA$145,100 base.

SalaryStated by Intactfc
CA$118,700 – CA$145,100
Base salary for this role, in CAD per year, as published in the posting.
This role, from IntactfcOur estimate for the market: CA$121,500–CA$152,000Median CA$133,100
The range includes the market median of CA$133,100 for senior data science roles in Toronto.
Worked out from 25 postings that stated pay, median CA$133,100. Last updated Oct 15, 2026.
RoleData Science
SenioritySenior
LocationToronto
EmploymentFull-time
Base payCA$118,700–CA$145,100
PostedOct 15, 2026 · 9d ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Create AI systems from design through deployment to address concrete business cases
  • Try out, build and validate NLP approaches, then derive useful conclusions from complex, unstructured information
  • Analyze software usage patterns and recommend changes based on what the data shows
  • Turn stakeholder needs into technical solutions while developing AWS software with data scientists, developers and designers
  • Serve as a technical reference, coach junior scientists and set standards for coding, reviews, experiments and testing

What you bring

  • At least five years applying data science to products, with a strong emphasis on NLP and machine learning
  • A relevant master's degree or an equivalent combination of education and experience
  • Experience connecting large language models to APIs and evaluating their results
  • Production software experience using Python, GitHub, AWS and CI/CD tools

Who this fits

This senior technical lead role suits someone comfortable tackling loosely defined problems, collaborating across disciplines and coaching junior colleagues. You need Canadian work authorization before starting and must keep it throughout employment; immigration sponsorship is unavailable. The role uses a hybrid work model.

From the employer

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.


Our employee promise represents Intact’s commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

Pay at Intact is about much more than just salary.

  • 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)

Salary range (but not limited to):

118,700 - 145,100

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

12%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) – with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.


About the role

We’re looking for a Senior Data Scientist to join our growing team!

What you'll do here:

  • Design and develop end-to-end AI solutions to tackle real business cases.
  • Lead the exploration, implementation, and testing of new NLP solutions.
  • Transform complex and unstructured data into actionable insights and outcomes.
  • Use analytics to understand software usage patterns and give recommendations on improvements
  • Work closely with stakeholders to understand their needs and translate them into technical solutions.
  • Collaborate with data scientists, developers, designers, in a cross-functional team to build software in AWS.
  • Act as a technical lead and reference for data science team.
  • Coach and mentor junior members of the team
  • Lead and enforce data science best practices: coding, peer-review, experimentation and testing.

What you bring to the table:

  • Master’s degree in a relevant discipline (computer science, mathematics, AI, engineering, or a related field), or any combination of equivalent education and experience.
  • At least 5 years of experience in data science applications and product development, with a strong focus on NLP and machine learning.
  • Experience with Large Language Models (LLMs) - integrating with APIs and evaluation techniques.
  • Experience with developing, deploying, and maintaining software in cloud environments (strong preference for AWS).
  • Multi-platform production experience with the following: Python, GitHub, AWS, and CI/CD tools.
  • Expert-level understanding of the underlying theory of machine learning.
  • Can focus on vaguely defined issues requiring the application of a creative approach.
  • Ability to collaborate with others and to coach junior members of staff.
  • Enthusiasm for teamwork.
  • Strong communication, time management and work organization skills.
  • No Canadian work experience required however must be eligible to work in Canada.

Il s'agit d'un nouveau rôle au sein de notre équipe en pleine croissance | This role is a new member of our growing team.


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.

As part of Intact’s commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.

We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We’ll work with you to meet your needs.

Learn more about our recruitment process and your candidate journey here.

Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. 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.

If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.