Senior Data Scientist

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.

• 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)

118,

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.

Intact is looking for a Data Scientist to turn complex data into practical solutions (prediction, segmentation, optimization, automation) and to generate actionable insights.

Within the Data Lab, you will work in a modern data ecosystem with multidisciplinary teams (data science, analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection, personalization, experimentation, etc.).

The Lab emphasizes rigor (quality, validation, performance monitoring, continuous improvement), collaboration with business and engineering teams, and value-driven innovation, including generative AI and LLMs to speed up access to information, automate processes, and deliver responsible, measurable solutions in production.

• Develop innovative solutions:
  Use machine learning and advanced statistical methods to identify trends and patterns in complex datasets.

• Data transformation:
  Turn complex databases into actionable insights and recommendations that can guide business strategy.

• Stay up to date:
  Keep abreast of the latest trends and methodologies in data science and integrate them into your work.

• Tool and platform maintenance:
  Help maintain and improve our data mining tools and platforms to ensure their efficiency and reliability.

• Actionable recommendations:
  Provide strategic recommendations based on data analysis to support decision-making processes.

• Cross-functional collaboration:
  
  Work closely with other departments to promote the adoption of data-driven decision-making across the organization.

• Quality assurance and mentoring:
  Validate the quality of analytical approaches and deliverables produced by the team to ensure high standards, while coaching less experienced members.

• Technical leadership:
  Take on a technical leadership role, guiding the team on best practices in data…