Data Science & AI Intern

EIC - Experience Internship Canada; Montreal; On-site; CAD 13,000 - 18,000; Part time

Benefits offered by this job

Paid internship

Job summary

EIC - Experience Internship Canada seeks motivated candidates for a Data Science & AI Intern role to contribute to projects across data science and AI applications for EIC activities.

You will explore classification, extraction and decision-support methods, while assessing their practical usefulness in real-world settings and collaborating with international teams in Canada.

Qualifications

• You are studying data science, AI, applied mathematics or computer science.
• You have a foundation in Python, statistics and machine learning.
• You understand evaluation principles and the risks of data leakage.
• You enjoy methodical experimentation and documenting results transparently.

Responsibilities

• Scoping: translate a business problem into a measurable objective and define an evaluation dataset.
• Data preparation: clean authorized datasets and document their origins.
• Exploration: investigate distributions, biases and features relevant to modeling.
• Modeling: develop prototypes and compare them with a simple baseline.
• Generative AI: experiment with extraction or document-search solutions using approved data.
• Evaluation: measure accuracy, error patterns and the cost of different approaches.
• Integration: work with developers to make prototypes usable by the teams.
• Reporting: present results, limitations and potential improvements.

Skills

Python

Statistics

Machine learning

Data science

English communication

Team collaboration

Education

Pursuing data science/AI related degree

Tools

NumPy/Pandas

Job description

EIC (Experience Internship Canada) is looking for motivated candidates to join its teams as a Data Science & AI Intern .

You will contribute to data science and artificial intelligence projects applied to EIC activities. You will explore classification, extraction and decision-support methods while measuring their practical usefulness.

This internship takes place in Canada, in Montreal, Toronto or Vancouver.

You will work in an international professional environment that values collaboration, initiative and learning through practical work. A supervisor will help you understand priorities and take on responsibilities as your skills develop.

RESPONSIBILITIES

• Scoping: translate a business problem into a measurable objective and define an evaluation dataset.
• Data preparation: clean authorized datasets and document their origins.
• Exploration: investigate distributions, biases and features relevant to modeling.
• Modeling: develop prototypes and compare them with a simple baseline.
• Generative AI: experiment with extraction or document-search solutions using approved data.
• Evaluation: measure accuracy, error patterns and the cost of different approaches.
• Integration: work with developers to make prototypes usable by the teams.
• Reporting: present results, limitations and potential improvements.

CANDIDATE PROFILE

• You are studying data science, AI, applied mathematics or computer science.
• You have a foundation in Python, statistics and machine learning.
• You understand evaluation principles and the risks of data leakage.
• You enjoy methodical experimentation and documenting results transparently.
• You are comfortable communicating in English. French is an asset for collaboration with French-speaking colleagues and audiences.
• You can work collaboratively, seek feedback and suggest practical improvements.

WHY JOIN EIC?

Joining EIC means contributing to work that connects talent, employers and international mobility while developing your skills in your chosen field.

You will learn to take an idea through to an evaluated prototype while considering operational constraints and output quality.

This experience in Montreal, Toronto or Vancouver will allow you to work with different stakeholders, explore a local professional environment and build concrete examples of your work for the next stage of your career.

BENEFITS

• A paid internship, with compensation terms discussed during the recruitment process.
• Supervisor support and training in AI experimentation, model evaluation and business applications.
• Practical assignments and progressive responsibilities suited to your experience.
• Collaboration with EIC teams and contact with international stakeholders.
• Regular feedback to help you develop and demonstrate your skills.
• International professional experience in Montreal, Toronto or Vancouver.
• Potential longer-term opportunities depending on performance and available positions.