Together, we help people, businesses, and society prosper in good times and be resilient in bad times. 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 Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance): 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. 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 contemporary 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. 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. Keep abreast of the latest trends and methodologies in data science and integrate them into your work. Help maintain and improve our data mining tools and platforms to ensure their efficiency and reliability.

Provide strategic recommendations based on data analysis to support decision-making processes. 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 science and identifying research and development opportunities. A master’s degree in a relevant field (mathematics, science, engineering, operations research, economics, statistics, AI, computer science, or a related discipline), or an equivalent combination of education and experience. At least 5 years of experience in data science, machine learning,



and advanced statistics applied to solving business problems.

Machine learning expertise: Expert-level understanding of machine learning theories and methodologies.

Specialization: Expertise in one or more areas such as computer vision, natural language processing, or artificial intelligence.

Technical skills: Experience delivering to production across multiple platforms using the following commercial and open-source data mining frameworks and tools: R, Python, GitHub. Ability to tackle loosely defined problems with creative and innovative solutions. Excellent written and verbal communication skills, with the ability to convey complex information to non-technical stakeholders.

Strong organizational and time-management skills to handle multiple projects and meet deadlines. Bilingual (French and English): Need to interact on a regular basis with an English-speaking clientele and colleagues across the country. At Intact, our Value of respect is founded on seeing diversity as a strength.

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. 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. 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.

📌 Senior Data Scientist - E-Commerce (Montreal)
🏢 Intact Financial
📍 Montreal