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Software Engineer Co-op Student

Foresters Financial

Toronto

Hybrid

CAD 125,000 - 150,000

Full time

2 days ago
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Job summary

A financial services firm in Toronto is seeking a Software Engineer Co-op Student to assist in developing enterprise applications and implementing AI/ML models. The role provides an excellent opportunity for hands-on experience in a collaborative environment. Candidates must be currently enrolled in a relevant Bachelor’s program and possess strong programming skills. This co-op offers a hybrid work model and aims to foster an inclusive culture.

Qualifications

  • Strong programming skills in Python, .NET, Java, or similar languages.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work independently and as part of a team.
  • Strong communication skills and willingness to learn.

Responsibilities

  • Assist in developing software applications.
  • Develop and implement AI/ML models and algorithms.
  • Conduct data preprocessing and analysis.
  • Collaborate with team members on proof-of-concepts.
  • Document code and maintain version control.

Skills

Python
.NET
Java
TensorFlow
PyTorch
scikit-learn
Microsoft Azure DevOps

Education

Currently enrolled in Bachelor's program in Computer Science, Engineering, or related field

Job description

Career Opportunity

Role Title Software Engineer Co-op Student Purpose of role The Software Engineer Co-op in IT offers an opportunity to build a wide variety of enterprise applications within a team-based environment. As a co-op student, you will work closely with our experienced architects and engineers to develop, test, and implement application including machine learning models and algorithms. This is an excellent opportunity to gain hands-on experience in a collaborative environment. You’ll find opportunities to continuously learn, research on technologies, share knowledge within your team.
Note: We are currently accepting applications for both the September 2025 (Fall) and January 2026 (Winter) intake terms. Interested candidates are encouraged to indicate their preferred start date in their application. Job Description

Key Responsibilities:

  • Assist in the development software applications
  • Develop and implementation of AI/ML models and algorithms.
  • Conduct data preprocessing and analysis to support model training.
  • Collaborate with team members to design and execute proof-of-concepts.
  • Producing clear and maintainable code
  • Document code and maintain version control.
  • Participate in team meetings and contribute to project discussions.
  • Investigating, learning and applying new technologies/ processes
  • Participating in design/ architectural discussions

Key Qualifications:

  • Currently enrolled in a Bachelor's program in Computer Science, Engineering, or a related field.
  • Strong programming skills in Python, .NET, Java or similar languages.
  • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with Microsoft Azure DevOps
  • Basic understanding of data preprocessing, feature engineering, and model evaluation.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work independently and as part of a team.
  • Strong communication skills and willingness to learn.

#LI-Hybrid

Equal Opportunity Employment and Inclusion – at Foresters Financial, we are committed to sustaining an equal opportunity environment for all job applicants. We embrace Inclusion, Diversity and Equity (IDE) as a core strategic objective for building strong, innovative teams in which all our employees can show up wholly and authentically as themselves.

Foresters Financial strives to provide an accessible candidate experience for prospective employees with different abilities. If you anticipate needing any type of accommodations during the recruitment process, please email accommodations@foresters.com in advance of your appointment.

Thank you for choosing Foresters. Only those candidates who will be selected for further consideration will be contacted by our Talent Acquisition Team.

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