Tech Lead Data Sciences

Tech Lead Data Sciences page is loaded## Tech Lead Data Scienceslocations : Montréal, Quebec, CAN : Toronto, Ontario, CAN : Québec, 5700 Boul des Galeriestime type : Full timeposted on : Posted Todaytime left to apply : End Date : January 24, 2026 (30+ days left to apply)job requisition id : R150548

• 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.
• About the role
• At the Intact Lab, we use machine learning, data science, software engineering, agility, UX and design thinking to transform the customer experience for millions of Canadians.Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day.Are you a machine learning advanced analytics and Big Data
• What you'll do here :
• Be the technical leader that helps define data science problems and developing innovative solutions using machine learning and advanced statistics.
• Ensure teams build AI systems aligned with business goals and quality expectations with sustainability in mind and by following best practices and internal policies
• Help achieve long-term business goals by identifying and implementing solutions to problems having a lot of uncertainty with the highest scientific rigour.
• Influence the lab’s technical direction with recommendations based on scientific and business findings.
• Contribute to the AI roadmaps of your business line by identifying opportunities in the existing processes and by providing innovative solutions. Rally the multiple stakeholders to this vision.
• Coach and mentor senior data scientists and act as a technical reference for management.
• Review machine learning solutions and assess readiness for production deployment.
• Help the teams maintain a high scientific level by monitoring the application of data science standards of practice and participate in their evolution.
• What you bring to the table :
• Master’s or PhD in a relevant discipline (such as, but not restricted to : mathematics, computer science, economics, statistics, physics), or any combination of equivalent education and experience, such as a good track record in actuarial sciences (e.g. FCAS).
• A very strong business acumen with prior experience of working with multiple business units in large organizations.
• Expert-level understanding or roughly 8 years of experience, in at least one of those fields of advanced analytics, modeling or machine learning : rating, predictive modeling, time series forecasting computer vision, natural language processing including GenAI, or any other relevant to insurance AI application domain.
• Strong communication, time management, great teamworking and organization skills. Demonstrated ability to influence peers across teams
• Proven track record of complex project deliveries with a very high level of autonomy
• The position requires expertise in programming, preferably in Python and its popular libraries / frameworks such as scikit-learn, xgboost, pytorch, etc. Candidates must either show their acquired skills or demonstrate their ability to acquire it.
• Able to perform advanced data analysis using cloud data analytics platforms like Databricks or AWS SageMaker is an asset. More broadly, knowledge of cloud technologies like AWS and hands on experience building solutions that integrates its services is a plus.
• 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 countr
• y.Il s'agit d'un nouveau rôle au sein de notre équipe en plein croissance | This role is a new member of our growing team.
• We are an equal opportunity employer
• At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.
• We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.
• As part of Intact’s commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.
• We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.
• If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We’ll work with you to meet your needs.
• Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.
• If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.

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