Data Scientist II

Intact

Data Scientist at Intact transforming complex data into actionable insights and strategies. Engaging in multidisciplinary teamwork in a modern data ecosystem.

Posted 7/24/2026full-timeMontréal • 🇨🇦 CanadaJuniorMid-Level💰 CA$94,200 - CA$115,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning, advanced statistical methods, and data analysis to drive business strategy through actionable insights. Proficient in collaborating across departments to promote data-driven decision-making and validate analytical outputs.

Highest-signal resume keywords

Machine LearningData ScienceStatistical AnalysisPythonBilingualism (French / English)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAdvanced StatisticsData AnalysisData MiningComputer VisionNatural Language ProcessingArtificial IntelligenceStatistical MethodsData VisualizationDatabase Management

Soft Skills

CollaborationCreative Problem SolvingCommunicationOrganizational SkillsTime Management

Tools & Technologies

PythonGitHubData Mining FrameworksStatistical SoftwareData Visualization Tools

Certifications & Qualifications

MScPhD

Industry Keywords

Data ScienceMachine LearningStatistical AnalysisBusiness StrategyData-Driven Decision Making

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Utilize machine learning and advanced statistical methods to identify trends and patterns in complex datasets.
Convert complex databases into actionable insights and recommendations that can drive business strategy.
Keep up with the latest trends and methodologies in data science and incorporate them into your work.
Assist in maintaining and improving our data mining tools and platforms to ensure their efficiency and reliability.
Make 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.
Validate the quality of analytical approaches and outputs produced by other team members to ensure high standards.

Requirements

What you’ll need

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.
Proficiency in multiple platforms, including commercial and open-source data mining frameworks such as Python and GitHub.
Deep understanding of machine learning theories and methodologies.
Expertise in one or more areas such as computer vision, natural language processing, or artificial intelligence.
Strong enthusiasm for working collaboratively in a team environment.
Ability to tackle vaguely defined problems with creative and innovative solutions.
Excellent communication skills, both written and verbal, with the ability to convey complex information to non-technical stakeholders.
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.

Benefits

Comp & perks

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)