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Amazon Data Science Internship Jobs in Alberta (NOW HIRING)

Requirements Hold a degree in computer science, engineering, data science, statistics, or another ... Have practical knowledge of containers, orchestration, cloud environments such as Amazon Web ...

Hold a degree in computer science, engineering, data science, statistics, or another related field ... Have practical knowledge of containers, orchestration, cloud environments such as Amazon Web ...

This is a hands-on internship where you will work alongside a talented multidisciplinary team, gain ... Support a multidisciplinary team of data scientists, financial analysts, engineers, and developers ...

Bachelor's degree in Computer Science, Engineering or a related field is required; a Master ... data technologies, or machine learning through coursework, internships, or project experience is a ...

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Amazon Data Science Internship information

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$9

$33

$88

How much do amazon data science internship jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for amazon data science internship in Alberta is $33.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $42.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon Data Science intern, and why are they important?

To thrive as an Amazon Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, often supported by progress toward a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, AWS, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and present findings to both technical and non-technical stakeholders. These abilities are crucial for delivering actionable insights and contributing to impactful projects in Amazon's fast-paced, data-driven environment.

What is an Amazon Data Science internship?

An Amazon Data Science Internship is a temporary position for students or recent graduates to work with Amazon’s data science teams. Interns apply statistical analysis, machine learning, and data engineering skills to solve real-world business problems. The internship provides hands-on experience with large datasets and exposure to Amazon’s tools, technologies, and culture. Interns also have opportunities to collaborate with experienced data scientists and contribute to impactful projects. This experience can help launch a career in data science, especially in the tech industry.

What types of projects do interns typically work on during an Amazon Data Science internship?

As an Amazon Data Science intern, you can expect to work on real-world projects that directly impact business decisions. Common projects include developing predictive models, performing exploratory data analysis, and collaborating with software engineers to implement machine learning solutions. Interns often partner with cross-functional teams, such as product managers and business analysts, to translate data insights into actionable recommendations. This hands-on experience helps interns build technical and communication skills while gaining exposure to Amazon's fast-paced, data-driven environment.
What are popular job titles related to Amazon Data Science Internship jobs in Alberta? For Amazon Data Science Internship jobs in Alberta, the most frequently searched job titles are:
What cities in Alberta are hiring for Amazon Data Science Internship jobs? Cities in Alberta with the most Amazon Data Science Internship job openings:

Senior Data Scientist

National Bank

Edmonton, AB • Hybrid

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

A career as a senior data scientist in the Western Excellence Center AI and Transformation Delivery team at National Bank means acting as a specialist in advanced analytics, machine learning, and artificial intelligence solutions. This job allows you to have a positive impact on our organization thanks to your experience in designing, deploying, and operationalizing data science solutions that improve client experience, strengthen risk management, and support operational efficiency. Your role Frame high-impact analytics and artificial intelligence mandates with partners, clarify business needs, and translate them into concrete data science solutions. Design, develop, validate, and deploy machine learning, statistical, and generative artificial intelligence models, including large language model solutions and retrieval-augmented generation. Perform exploratory data analysis, feature engineering, model experimentation, and communicate findings through clear recommendations that support decision-making. Implement model lifecycle practices, including model operations, continuous integration and delivery, monitoring, issue resolution, performance tracking, and audit-ready documentation. Define and promote development best practices, standards, reusable patterns, and strong documentation practices for models, data lineage, assumptions, and artificial intelligence processes. Support delivery activities such as planning, testing, troubleshooting, demonstrations, training, and knowledge transfer to help teams adopt new methods and tools. Your team Within the Western Excellence Center AI and Transformation Delivery department, you are part of a multidisciplinary team working closely with artificial intelligence, data governance, infrastructure, information architecture, security, database and data warehouse administration, business analysis, quality assurance, and business stakeholder teams. You report to the management team and operate with autonomy within established standards. Our team stands out for its focus on innovation, knowledge sharing, and continuous improvement. We aim to offer you maximum flexibility to promote your quality of life. This includes a hybrid work environment and a flexible, adaptable schedule. The Bank values continuous development and internal mobility. Our personalized training programs, based on learning through action, allow you to master your role and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring support are available to you at all times. Requirements Hold a degree in computer science, engineering, data science, statistics, or another related field, combined with 3 to 5 years of experience delivering production analytics or machine learning solutions. Have strong programming and data skills with tools and languages such as Python, Structured Query Language, Rust, JavaScript, C, C++, SAS, or R, as well as experience with relational databases. Have experience with data wrangling, preprocessing, visualization, extract-transform-load processes, and tools such as SAS Viya or equivalent platforms. Have experience with model management, model operations tools, continuous integration and delivery pipelines, source control, and modern development environments. Have practical knowledge of containers, orchestration, cloud environments such as Amazon Web Services or Microsoft Azure, and production deployment practices. Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as: * Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and family assistance program * Preferential banking services * Involvement in community initiatives * Telemedicine service * Virtual sleep clinic We have an offer that keeps up with trends as well as your needs and those of your family. Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged. Making a bold move in a people-first environment We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees. We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team? Join us!