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 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. What you'll do here:

• 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 science and identifying research and development opportunities.

What you bring to the table:

• 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.
• Team spirit: Strong enthusiasm for collaborative teamwork.
• Problem-solving: Ability to tackle loosely defined problems with creative and innovative solutions.
• Communication skills: Excellent written and verbal communication skills, with the ability to convey complex information to non-technical stakeholders.
• Time management: 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.
• No Canadian work experience required however must be eligible to work in Canada

#LI-Hybrid 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.