Salary range (but not limited to): 94,200 - 115,200 Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance): 10% 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: Utilize machine learning and advanced statistical methods to identify trends and patterns in complex datasets.
• Data Transformation: Convert complex databases into actionable insights and recommendations that can drive business strategy.
• Stay Current: Keep up with the latest trends and methodologies in data science and incorporate them into your work.
• Tool and Platform Maintenance: Assist in maintaining and improving our data mining tools and platforms to ensure their efficiency and reliability.
• Actionable Recommendations: Make strategic recommendations based on data analysis to support decision-making processes.à
• ross-Department Collaboration: Work closely with other departments to promote the adoption of data-driven decision-making across the organization.
• Quality Assurance: Validate the quality of analytical approaches and outputs produced by other team members to ensure high standards.

What you bring to the table:

• Degree in a relevant discipline (computer science, AI, mathematics, engineering, operations research, statistics, geomatics or related field), or an equivalent combination of education and experience. MSc and/or PhD are an asset.
• Minimum of 2 years of experience in data science, machine learning and advanced statistics solving business problems.
• Technical Skills: Proficiency in multiple platforms, including commercial and open-source data mining frameworks such as Python and GitHub.
• Machine Learning Expertise: Deep understanding of machine learning theories and methodologies.
• Specialization: Expertise in one or more areas such as computer vision, natural language processing, or artificial intelligence.
• Teamwork: Strong enthusiasm for working collaboratively in a team environment.
• Problem-Solving: Ability to tackle vaguely defined problems with creative and innovative solutions.
• Communication Skills: Excellent communication skills, both written and verbal, 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.
• Bilingualism (French / English) - For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking 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.