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Team Lead - Data Science

Date Posted: Oct 02, 2026
Yearly: C$ 138500.00 - C$ 138500.00

Job Detail

  • location_on
    Location Montreal, Canada
  • desktop_windows
    Job Type: Permanent
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
  • calendar_view_day
    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
  • calendar_month
    Apply Before: Jan 05, 2027

Job Description

Overview

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 modelPossibility to purchase up to 5 extra days off per yearMultiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much moreShare 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):138,500 - 169,300Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):15%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 are pleased to announce that we are looking for team leads within the Lab! Opportunities are available across few lab families, including AI in Risk and AI in Ops . In this role, you will be responsible for leading a small team of data scientists and/or actuarial analysts and/or AI developers. This role combines operational leadership and technical expertise to coordinate daily activities, implement data science strategy, improve key processes, and support business objectives. You will be a trusted partner for management teams, ensure smooth communication with stakeholders, guide talent development, and oversee the design of models and analyses that directly contribute to product performance, customer satisfaction, and profitability. What you'll do here: Formulate appropriate recommendations after analyzing and interpreting reports produced by team members to improve the performance of products and services. Manage the evaluation, development and coaching of members of their team to achieve the strategic objectives of the company, while creating a highly engaged workforce, where employees contribute to the success of the team and company. Coordinate their team's activities by organizing, planning and controlling the work. Provide technical advice to their team members responsible for Data Science and Actuarial work and studies (Risk assessment, data extraction/enrichment, natural language processing, process optimization, agentic workflows, evaluation benchmarks and other data science techniques and models) Represent the Data Science function in various working groups/committees and act as a point of contact with other business units. Participate on project-based tasks as assigned by Manager and/or Director. What you bring to the table: University degree in Mathematics, Statistics, or Actuarial Sciences (FCIA or FCAS an asset) and/or background in Machine learning, Data Science or any combination of equivalent training and experience. 5 years of professional experience in Data Science or Actuarial. Proven coaching ex

Key responsibilities

Not specified in the original listing.

Required skills

  • Science & Technology

What the company offers

Not specified in the original listing.

Skills Required

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