Senior Data Scientist - Personal Lines Datahub

Intact FC • Montreal, QC

7d • CA$118,700 - CA$145,100 • Hybrid

About The Position

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. Pay at Intact is about much more than just salary. The Personal Lines Datahub (PLDH) team, along with other data platform teams in the lab, was created as part of a strategic shift towards recognizing the importance of data and how being serious and diligent around data will translate into competitive advantages, especially with the advent of generative AI. The team’s mandate is to ingest and curate AI-ready data products for AI in PL, with the ambition to expand usage to other teams outside of AI PL/lab in the future. We make data AI-ready. Currently the team consists of data engineers, DevOps and Data Solutions Architects and would benefit from having a Data Scientist working closely with the technical PO, DS manager, and Data Engineering manager to ensure product-market fit and user-centric design (i.e. bringing DS insight into the mix). In 2025 the team has worked on ingesting various data sources onto our Enterprise Data Platform. In 2026 the focus has shifted towards developing Client Journey Database (CJDB), our first data product, which aims at providing a 360 degree view of customer interactions.

Requirements

• Master’s degree in a relevant discipline (mathematics, science, engineering, operational research, economics, statistics, AI, computer science or a related field), or any combination of equivalent education and experience.
• At least 5 years of experience in the field of advanced statistics, data mining and text mining.
• Multi-platform production experience with the following commercial and open-source data mining frameworks: Open-source frameworks: R, Python, GitHub.
• Expert-level understanding of the underlying theory of machine learning.
• Expert-level understanding in either computer image analysis, natural language processing or artificial intelligence.
• Enthusiasm for teamwork.
• Can focus on vaguely defined issues requiring the application of a creative approach.
• Strong communication, time management and work organization skills.
• 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.

Nice To Haves

• The responsibilities of this role fall outside “typical data science work”. We therefore need a candidate who is enthusiastic about taking on new challenges and expanding their skillset, knowing they would not be doing core data science.

Responsibilities

• Play a key role in shaping the vision of CJDB, interacting with various stakeholders consisting of senior ICs and managers of other product teams.
• Work towards making CJDB and the Enterprise Data Catalog accessible by AI agents.
• Promote a data-centric culture in the lab and across IFC, spreading awareness around data products, platforms and tools.
• Pursue various data engineering and IA engineering challenges.
• Develop user-friendly tools and data products.
• Transform complex databases into relevant conclusions and recommendations.
• Keep pace with new approaches and trends and use them in your own solutions.
• Help maintain our data mining tools and platforms.
• Make actionable recommendations based user feedback.
• Work with other departments to promote the adoption of data governance principles.
• Validate the quality of the analytical approach and project outputs of the other team members.

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.
• Pension offerings provide flexibility and long-term security for our employees beyond their careers.
• Defined benefit pension plan

What This Job Offers

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