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About the role

  • Actuarial and data science intern developing dashboards, predictive models, and analytical tools for iA Financial Group’s group insurance and savings business. Analyzing data and supporting strategic decisions.

Responsibilities

  • Analyze and interpret data for customer segmentation, claims trends, and other business challenges
  • Contribute to dashboards and user-friendly tools supporting strategic decision-making
  • Deliver analyses aligned with departmental objectives and present findings to management
  • Develop and implement predictive models for risk modeling, trend forecasting, and customer behavior analysis
  • Apply machine learning algorithms and statistical methods to extract insights
  • Explore and process large datasets to identify improvement and innovation opportunities
  • Collaborate with mentors, subject matter experts, and team members on group insurance challenges and analytical processes
  • Learn deployment and productionization of analytical models with internal teams

Requirements

  • Currently pursuing a degree in Actuarial Science, Data Science, or a related field
  • Analytical skills and ability to solve business problems
  • Team spirit and ability to collaborate effectively with colleagues
  • Strong interest in programming; Python is considered an asset
  • Curiosity, learning agility, and ability to deliver results efficiently
  • Intermediate English proficiency required for consulting and using English-language documentation with team members in daily responsibilities
  • Advanced French proficiency
  • Applicants must submit a cover letter, résumé, and transcript

Benefits

  • A work environment where learning and development merge with a collective pursuit of excellence
  • Artificial intelligence tools to increase personal effectiveness and support organizational growth
  • Healthy, safe, equitable, and inclusive work environment
  • Hybrid work environment supported by flexibility and access to inspiring and innovative workspaces
  • Student-focused benefits, including access to internal training, mentorship opportunities, involvement in real projects, flexible schedules adapted to academic commitments, and valuable experience to support professional development

Job type

Full Time

Experience level

Entry level

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

Python

Location requirements

HybridQuebec CityCanada

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