Gold Rush Summer Intern - AI and Data Science

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Start Date: May 2026

Contract: 4 months

Number of Positions: 1

Hybrid Work Environment (3 days in office, 2 days remote with flexible hours)

Dress Code: Business Casual

Location Downtown Toronto, Outside of Union Station (TTC & GO accessible)

A Great Place to Work

Who We Are

Founded in 1993, Kinross is a Canadian-based senior gold mining company with operations and projects in the United States, Brazil, Mauritania, Chile and Canada. Our focus on delivering value is based on our four core values of Putting People First, Outstanding Corporate Citizenship, High Performance Culture, and Rigorous Financial Discipline.

Mining responsibly is a priority for Kinross, and we foster a culture that makes responsible mining and operational success inseparable. Our values-based approach ensures that sustainability and our environmental, social and governance commitments are a core part of our strategy and plans for future growth. In line with our values, we also aim to build meaningful partnerships with all of our stakeholders, including communities, shareholders, employees, governments and suppliers.

Kinross maintains listings on the Toronto Stock Exchange (symbol: K) and the New York Stock Exchange (symbol: KGC).

Interested in learning more about us? Visit our website

About the Role

Join our Digital Transformation team as an AI and Data Science Intern. This role is ideal for a motivated student or recent graduate passionate about artificial intelligence, machine learning, and digital innovation. You’ll help advance our digital landscape by performing AI/ML experiments and building practical solutions for operational and back-office projects.

Job Responsibilities

• Collaborate with data scientists and business stakeholders to design, implement, and evaluate machine learning models for operational and back-office use cases.
• Conduct AI and ML experiments using Python, Databricks, and Power Platform to solve real-world business challenges.
• Explore and apply Generative AI, Computer Vision, and other advanced techniques to improve digital workflows and business processes.
• Assist in data preparation, feature engineering, model training, validation, and deployment.
• Document project workflows, results, and best practices to support knowledge sharing and future development.
• Support the integration of AI tools and components into existing digital platforms.
• Communicate findings and recommendations clearly to technical and non-technical audiences.
• Participate in special projects focused on digital transformation, automation, and innovation.

Education and Experience

• Currently enrolled in or recently graduated from a program in Computer Science, Engineering, Mathematics, Data Science, or a related field.
• Familiarity with Python, Databricks, Power Platform, and Generative AI tools.
• Basic understanding of machine learning concepts (e.g., supervised/unsupervised learning, regression, classification, clustering).
• Exposure to AI techniques such as Generative AI, Computer Vision, or Natural Language Processing is a plus.
• Strong analytical, problem-solving, and organizational skills.
• Excellent communication and interpersonal skills; able to explain technical concepts in simple terms.
• Solution-focused mindset and eagerness to learn in a fast-paced, collaborative environment.

Preferred Skills

• Experience with data visualization tools (e.g., Power BI, Tableau).
• Knowledge of SQL and cloud platforms (Azure, AWS, or GCP).

Compensation & Total Rewards

The base salary range for this role is $44,226 to $60,060 CAD, plus 4% vacation pay.

The hiring range reflects our targeted compensation framework for the role. The actual offer will be determined through a comprehensive evaluation of each candidate’s experience, capabilities, and potential impact, along with consideration of internal equity, team structure, and benchmark market data for similar positions.

Existing Vacancy

This job posting is for an existing vacancy.

Use of AI in Our Hiring Process

We use AI-enabled tools to help sort and review applications based on job-related criteria. All hiring decisions, including who moves forward in the process, are made by a human.