Senior Data Scientist

Pay at Intact is about much more than just salary.

• 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)

Salary range (but not limited to):

118,700 - 145,100

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%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) – with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.

About the role

We are currently seeking a Principal Data Scientist to join the LAB family.

What you'll do here:

• 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.

What you bring to the table:

• 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

#LI-Hybrid

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.