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Internship R Programming Language Jobs in Vancouver, BC

Intermediate II C# Developer

Vancouver, BC ยท Hybrid

CA$80K - CA$100K/yr

Experience with multi-threaded programming and design patterns * Experience with Java or another OOP language is an asset * Experience with agile development methodologies * Experience with test ...

Requirements * 1 to 2 years of software engineering experience through work, internships, co-ops ... Proficiency in at least one modern programming language, such as TypeScript, Java, Python, or PHP.

Requirements * 1 to 2 years of software engineering experience through work, internships, co-ops ... Proficiency in at least one modern programming language, such as TypeScript, Java, Python, or PHP.

Sr. Data Scientist, Payments

Vancouver, BC ยท On-site

CA$152K - CA$205K/yr

Proficiency in SQL and at least one programming language, such as R or Python, for data manipulation, analysis, and model. * Strong understanding of statistics and experience applying statistical ...

... AI engineering teams to research, experiment with, and evaluate large language models for real ... The internship is from June-August, with the possibility to extend until December based on ...

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Internship R Programming Language information

Is 30 an hour good for an intern?

For an internship involving R programming, a rate of $30 an hour is considered above average in many regions, especially for entry-level or learning positions. Interns typically earn lower wages, but this rate may reflect specialized skills, remote work, or competitive markets; it is important to consider local standards and the internship's scope. Compensation can vary based on industry, location, and the intern's experience level.

What is an Internship in R Programming Language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

What jobs use the R programming language?

Jobs that use the R programming language include data analyst, data scientist, biostatistician, and research scientist roles. These positions often require skills in statistical analysis, data visualization, and familiarity with data management tools. R is widely used in industries such as healthcare, finance, and academia for data analysis and modeling.

What are the key skills and qualifications needed to thrive as an R Programming Language Intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

Is the R programming language in demand?

The R programming language is in demand for data analysis, statistical modeling, and data visualization roles. Many industries such as healthcare, finance, and research seek professionals skilled in R, especially those familiar with data manipulation packages like dplyr and ggplot2. Proficiency in R can enhance job prospects in data science and analytics fields.

Is R in high demand?

R programming language skills are in high demand in data analysis, statistics, and data science roles. Many organizations seek professionals proficient in R for data visualization, statistical modeling, and machine learning tasks, making it a valuable skill for internships and entry-level positions in these fields.

What types of projects or tasks can I expect to work on during an R Programming Language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.
What job categories do people searching Internship R Programming Language jobs in Vancouver, BC look for? The top searched job categories for Internship R Programming Language jobs in Vancouver, BC are:
Senior Manager, Data Security Automations & Engineering (Global Security)

Senior Manager, Data Security Automations & Engineering (Global Security)

Royal Bank of Canada

Vancouver, BC โ€ข On-site

Full-time

Posted 19 days ago


Job description

Job Description

WHAT IS THE OPPORTUNITY?

RBC's Data Security Automation and Engineering team is responsible for identification and detection of data loss incidents that might pose a risk to the organization. The Senior Manager leads a team of Senior Security Automation Engineers who design and develop innovative solutions to everyday problems. The Sr. Manager is passionate about solving cybersecurity problems and fostering a high-performing engineering team that develops innovative and customized solutions to enhance the security posture of the organization. This role combines technical leadership with people management, ensuring the team delivers cutting-edge automation solutions while maintaining individual growth and development.

WHAT WILL YOU DO?

Lead, mentor, and develop Senior Security Automation Engineering team; establish performance expectations, provide technical guidance, and create career development opportunities. Set team priorities and roadmap; define technical strategy for SOAR platform integration, optimization, and incident response automation workflows. Integrate and optimize SOAR product capabilities for incident response and automation workflows; oversee platform enhancements and technical direction. Lead the design, creation, testing, and refinement of playbooks in SOAR product to automate incident response procedures at scale. Troubleshoot complex technical issues with development teams and external vendors; provide solutions and assist in implementing fixes that impact team productivity. Collaborate with other Global Security teams and stakeholders (Cyber Technology Office, Security Insights & AI, Data Loss Investigations, Application Teams) to enhance organizational security posture; provide engineering expertise and enhancement solutions. Develop and architect customized, innovative solutions to complex Data Security automation problems. Manage team capacity, resource allocation, and project prioritization; track metrics and performance indicators for team delivery.

WHAT DO YOU NEED TO SUCCEED?

Must have

  • 5-7 years in cybersecurity with at least 3 years in development, security automation, or incident response engineering. With demonstrated experience leading and managing technical teams.

  • Advanced proficiency in programming languages such as Python, with knowledge in R, C#, JavaScript, and HTML & CSS and Strong understanding of relational databases (MsSQL, PostgreSQL) and non-relational databases (MongoDB)

  • Experience with machine learning models and large language model packages (PyTorch, Transformer)

  • Collaborative team player with strong willingness to share knowledge and mentor others with highly developed communication skills (verbal and written)

  • Creative thinker and analytical problem-solver who is self-driven and capable of working in a fast-paced environment and proven ability to manage multiple complex projects and priorities simultaneously

Nice-to-have:

  • Master's degree in computer science or Certified Information Systems Security Professional (CISSP) certification

  • Experience with fine-tuning machine learning models (supervised & unsupervised)

WHAT'S IN IT FOR YOU?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • A world-class training program in financial services

  • Opportunities to do challenging work

#LI-POST

#TECHPJ

Job Skills

AI Ops, Algorithms, Artificial Intelligence Techniques, Autoencoders, Confidentiality, Critical Thinking, Data Privacy, Data Science, Decision Making, Encryption Software, Group Problem Solving, Information Security Management, IT Incident Management, Long Term Planning, Machine Learning (ML), Python (Programming Language), Python Software Development, PyTorch, R Programming

Additional Job Details

Address:

16 YORK ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-28

Application Deadline:

2026-06-20

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME