Data Science & AI Intern

EIC - Experience Internship Canada; New York (NY); On-site; USD 17,000 - 28,000; Part time

Benefits offered by this job

Paid internship

Supervisor training in AI experiments

Job summary

EIC (Experience Internship Canada) is seeking motivated candidates for a Data Science & AI Intern role in its Boston or New York City offices. You will contribute to data science and AI projects applied to EIC activities.

You will explore classification, extraction and decision-support methods, measure usefulness, and work with an international team under supervision to develop practical prototypes. The internship provides paid compensation, hands-on experience with Generative AI, and

Qualifications

• Pursuing studies in data science, AI, applied math, or CS.
• Foundational Python, statistics and ML knowledge.
• Strong understanding of evaluation principles and data leakage risks.
• Ability to document results and communicate in English.

Responsibilities

• Scoping business problems into measurable objectives.
• Data preparation and dataset documentation.
• Explore distributions, biases and relevant features.
• Develop prototypes and compare to baselines.
• Experiment with Generative AI for extraction or search.
• Evaluate accuracy, error patterns and costs.
• Collaborate with developers to deploy prototypes.
• Present results and future improvements.

Skills

Python

Statistics

Machine Learning

Experimentation

Documentation

English communication

Education

Data science / AI / applied mathematics / CS major

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 the United States, in our Boston or New York City (NYC) offices.

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 Boston or New York City (NYC) 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 Boston or New York City (NYC).
• Potential longer-term opportunities depending on performance and available positions.