Actuarial Science and Data Science Intern (Winter 2027)
- Quebec, QC, Canada
Internship
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Job details
- Job type
- Internship
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- Posting language
- English
- Posted
Original job description
Description
Build the future with us
Are you passionate about actuarial science, programming, and data analysis, and looking to contribute to the purpose of a company that helps its clients feel confident and secure about their future?
As an Actuarial Science and Data Science Intern, you will play a key role in the development of analytical tools and models designed to address real business challenges in group insurance and group savings.
This position is an excellent opportunity to showcase your skills and fully realize your potential within a caring and trustworthy organization. Here, people and their development are at the heart of our priorities, fostering an environment that encourages collaboration and innovation.
What You Will Accomplish With Us
As an Actuarial Science and Data Science Intern, you will be at the core of our mission. Your main responsibilities will include:
We are looking for someone who:
Advance French proficiency.
Applicants must submit a cover letter, résumé, and transcript as part of their application.
Why You’ll Love Working With Us
Still Hesitating to Apply?
At iA, we believe in potential and value diverse experiences. If this role inspires you, take the leap and apply. Your place may be with us, and we would love to get to know you!
Build the future with us
Are you passionate about actuarial science, programming, and data analysis, and looking to contribute to the purpose of a company that helps its clients feel confident and secure about their future?
As an Actuarial Science and Data Science Intern, you will play a key role in the development of analytical tools and models designed to address real business challenges in group insurance and group savings.
This position is an excellent opportunity to showcase your skills and fully realize your potential within a caring and trustworthy organization. Here, people and their development are at the heart of our priorities, fostering an environment that encourages collaboration and innovation.
What You Will Accomplish With Us
As an Actuarial Science and Data Science Intern, you will be at the core of our mission. Your main responsibilities will include:
- Analyze and interpret data to address key business challenges such as customer segmentation and claims trends;
- Contribute to the development of dashboards and user-friendly tools to support strategic decision-making;
- Deliver analyses aligned with the department’s business objectives and present findings in a clear and accessible manner to management;
- Contribute to the development and implementation of predictive models for risk modeling, trend forecasting, and customer behavior analysis;
- Work with machine learning algorithms and statistical methods to extract meaningful insights from data;
- Explore and process large datasets to identify opportunities for improvement and innovation;
- Collaborate closely with mentors, subject matter experts, and other team members to gain an understanding of group insurance challenges and analytical processes;
- Learn about the deployment and productionization of analytical models with the support of internal teams.
We are looking for someone who:
- Is currently pursuing a degree in Actuarial Science, Data Science, or a related field;
- Is recognized for their analytical skills and ability to solve business problems;
- Stands out for their team spirit and ability to collaborate effectively with colleagues;
- Demonstrates a strong interest in programming (Python is considered an asset);
- Is recognized for their curiosity, learning agility, and ability to deliver results efficiently.
Advance French proficiency.
Applicants must submit a cover letter, résumé, and transcript as part of their application.
Why You’ll Love Working With Us
- A work environment where learning and development merge with a collective pursuit of excellence;
- Artificial intelligence is in everyone’s hands, helping you increase your personal effectiveness while supporting the organization’s growth;
- A healthy, safe, equitable, and inclusive environment where potential can thrive and develop freely;
- The opportunity to work in a 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 your professional development.
Still Hesitating to Apply?
At iA, we believe in potential and value diverse experiences. If this role inspires you, take the leap and apply. Your place may be with us, and we would love to get to know you!
More about this job
Responsibilities
Analyze data and develop dashboards, predictive models, and analytical tools to address business challenges in group insurance and group savings. Present findings to management, collaborate with mentors and subject matter experts, and learn how analytical models are deployed and put into production.
Requirements
Applicants must be pursuing a degree in Actuarial Science, Data Science, or a related field and demonstrate analytical ability, problem-solving skills, teamwork, curiosity, and a strong interest in programming; Python is an asset. Intermediate English proficiency and advanced French proficiency are required.
Skills
- Data Analysis
- Actuarial Science
- Programming
- Python
- Statistical Analysis
- Machine Learning
- Predictive Modeling
- Risk Modeling
- Trend Forecasting
- Customer Segmentation
- Claims Analysis
- Dashboard Development
- Data Processing
- Problem-Solving
- Teamwork
- Communication
Benefits
- Internal Training
- Mentorship Opportunities
- Flexible Schedules
- Hybrid Work Environment
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Finance & Accounting
- Science & Research
- Technology
Keywords
- Actuarial Science
- Data Science
- Group Insurance
- Group Savings
- Data Analysis
- Customer Segmentation
- Claims Trends
- Dashboard Development
- Predictive Modeling
- Risk Modeling
- Trend Forecasting
- Customer Behavior Analysis
- Machine Learning
- Statistical Methods
- Large Datasets
- Python
- Analytical Tools
- Model Deployment
- Model Productionization
- Business Decision-Making