Tech Lead Data Sciences

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.

Here, innovation is everyone's job. Ready to make your mark?

Are you a machine learning expert who believes we are only in the infancy of artificial intelligence? Are you passionate about advanced analytics and Big Data? Do you stay current with the latest trends in analytics and jump at the chance to experiment with new tools? We have the perfect opportunity for you!

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), 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.