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Toronto, Ontario, Canada

Internship

Onsite

Intern

RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector. The Data Science Intern will work within the AI validation team to challenge models and identify risks, contribute to research and development, and collaborate with stakeholders to promote best practices related to MLOps and IT infrastructure.

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Responsibilities

Validation: Your role is to challenge models and identify risks associated with their use – both conceptually and empirically. To that end, you will design and execute validation frameworks, exploring modelling considerations such as conceptual soundness, data processing, metric reproducibility & stability, benchmarking, robustness, uncertainty quantification, fairness, privacy, explainability, implementation controls and more. You will also have the freedom to explore ideas that interest you and build your own models and tools
Research & Development: You will read research papers (established work and state-of-the-art) to enhance how our team validates models and contribute to our knowledge pool. You are encouraged to apply what you've learned to real-world problems, develop reusable software packages, and share your insights with others
IT: You will collaborate with cross-functional stakeholders to establish and promote best-practices related to MLOps, tooling and IT infrastructure
Governance: You will work with model developers (data scientists, researchers, engineers) and business stakeholders to inventory applications of AI and machine learning at the bank, determine their materiality, and assess whether they require review

Qualification

Required

Passionate about learning and staying up-to-date with research and technology
Strong communication and interpersonal skills
Progress towards a PhD, Master's, or Bachelor's degree in Statistics, Computer Science, Applied Mathematics, Econometrics, Engineering, Quantitative Finance, or a related quantitative field
Proficient programming skills in Python or a similar language; you should already be comfortable with writing research experiments and be willing to learn how to write clean code
Familiarity with popular machine learning frameworks and libraries

Preferred

A risk-oriented mindset: You are curious about the 'how' as well as the 'why'
Publication or prior research experience (applied or fundamental)
Experience with version control systems
Comfortable with command line tools

Benefits

Leaders who support your development through coaching and managing opportunities
Flexibility to work on projects that you are passionate about
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to do challenging work and make a difference
Opportunities to build close relationships

Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.

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