Actuarial & Data Science Intern — Hybrid & Mentorship

iA Financial Group; Montreal (administrative region); Hybrid; CAD 32,000 - 42,000; Part time

Benefits offered by this job

Hybrid work environment

Mentorship opportunities

Flexible schedules

Internal training & real-project work

Job summary

iA Financial Group is seeking an Actuarial Science and Data Science Intern in Montreal. You will build analytical tools, develop models, and contribute to dashboards addressing group insurance and group savings challenges.

The role emphasizes collaboration, learning, and applying statistical methods to real business needs. The internship offers mentorship, flexible schedules, and exposure to AI-driven insights within a supportive, inclusive environment.

Qualifications

• Currently pursuing a degree in Actuarial Science, Data Science, or related field.
• Strong analytical skills and ability to solve business problems.
• Team player with collaboration skills.

Responsibilities

• Analyze and interpret data to address business challenges such as customer segmentation and claims trends.
• Develop dashboards and tools to support strategic decision-making.
• Deliver analyses aligned with department objectives and present findings to management.
• Develop and implement predictive models for risk forecasting and customer behavior analysis.
• Work with machine learning algorithms and statistical methods to extract insights.
• Collaborate with mentors and team members to understand group insurance challenges and analytics processes.
• Learn deployment and productionization of analytical models with internal teams.

Skills

Analytical thinking

Team collaboration

Problem solving

Education

Actuarial Science/Data Science degree

Tools

Python

BI dashboards

Job description

iA Financial Group is seeking an Actuarial Science and Data Science Intern in Montreal. You will build analytical tools, develop models, and contribute to dashboards addressing group insurance and group savings challenges.

The role emphasizes collaboration, learning, and applying statistical methods to real business needs. The internship offers mentorship, flexible schedules, and exposure to AI-driven insights within a supportive, inclusive environment.