Senior Data Scientist

Intact FC • Montreal, QC

21d • CA$118,700 - CA$145,100 • Hybrid

About The Position

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.

Requirements

• 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

Responsibilities

• 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.

Benefits

• 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)
• 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%
• Employee Share Purchase Plan (ESPP) – with Intact matching 50% of your net shares.
• Defined benefit pension plan offering guaranteed income for life.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior