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R Programming Language Jobs in Ontario (NOW HIRING)

Winter Co-op 2027 - AI

Toronto, ON ยท Hybrid

CA$54K - CA$72K/yr

Experience with at least one programming language (e.g., Python, R, Java) and familiarity with data manipulation techniques * Familiarity with machine learning concepts and tools (e.g., scikit-learn ...

Demonstrated programming experience (e.g., Python/R) and query/data manipulation skills (e.g., SQL ... Demonstrated knowledge of AI/ML technologies, natural language processing and emerging trends.

Prior project experience with a programming language such as SQL, python and/or R for data manipulation and analysis is considered an asset; * Must have experience and ability to manage multiple ...

Programming experience in any language such as: R, Python, Julia, VBA or similar language for data analysis, scripting and prototyping a plus. * Bachelor's degree in a related field, required. Master ...

CA$30/hr

Data Science in Python/R: Preferably those with project experience in each language. * AI/Society: Preferably those with programming experience in non-STEM domains. Minimum education,certificationand ...

CA$30/hr

Data Science in Python/R: Preferably those with project experience in each language. * AI/Society: Preferably those with programming experience in non-STEM domains. Minimum education,certificationand ...

s may display in multiple languagesbased on your language selection. What we offer: At Magna, you ... including DVP&R's, 8D's, GD&T, BOM, prototype control plans, key product characteristics ...

Show advanced proficiency in programming languages such as Python or R for complex data analysis ... AI, Copilot, Large Language Models (LLMs). * Demonstrate a strategic mindset with the ability to ...

s may display in multiple languagesbased on your language selection. What we offer: At Magna, you ... Work with source control and CI/CD tools such as Azure DevOps and GitHub. * Actively troubleshoot ...

... language models, and low-code automation and app-building tools ... Apply techniques such as prompt engineering, retrieval-augmented generation (RAG), and tool ...

Showing results 21-40

R Programming Language information

What is an R programming language?

An R Programming Language job involves using R, a statistical computing and graphics programming language, to analyze data, build statistical models, and create visualizations. Professionals in these roles often work in data science, machine learning, finance, healthcare, and academic research. Responsibilities may include writing R scripts, cleaning and processing data, creating reports, and implementing predictive models. Many R developers also integrate R with other tools like SQL, Python, or cloud platforms for data-driven decision-making.

What are the key skills and qualifications needed to thrive in the R programming language position?

Excelling in an R Programmer role requires strong proficiency in R programming, data analysis, and statistical modeling, usually supported by a degree in statistics, data science, computer science, or a related field. Familiarity with data visualization tools (such as ggplot2 or Shiny), version control systems (like Git), and relevant certifications such as the Data Science Council of America (DASCA) or equivalent are often valuable. Strong problem-solving abilities, clear communication, and collaboration skills help R Programmers effectively translate data insights to non-technical stakeholders and work efficiently within project teams. These competencies are crucial for delivering accurate, actionable analyses in various industries including finance, healthcare, and research.

What are the most common challenges faced by R programmers in a typical work environment?

R Programmers often encounter large and complex datasets that require efficient data cleaning and transformation techniques to ensure accuracy in analyses. Another common challenge is optimizing R code for performance, especially when working with big data or integrating R with other programming languages or systems. Additionally, clear communication of technical findings to non-technical stakeholders can be demanding but is essential for business impact. Being adaptable and willing to continuously learn new packages and tools helps overcome these challenges and adds significant value to the team.

What are popular job titles related to R Programming Language jobs in Ontario?

For R Programming Language jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching R Programming Language jobs in Ontario look for?

The top searched job categories for R Programming Language jobs in Ontario are:

Infographic showing various R Programming Language job openings in Ontario as of September 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Winter Co-op 2027 - AI

Toronto, ON โ€ข Hybrid

CA$54K - CA$72K/yr

Full-time

Posted 13 days ago


Key responsibilities

  • Explore, prepare, and validate data for analysis and modeling.

  • Build, evaluate, and support machine learning models and feature engineering.

  • Prototype generative AI solutions and develop reproducible code and workflows.


Job description

At Manulife John Hancock, we believe in investing in the future - starting with you. Our AI Co-op Program is your launchpad to success, offering the support, structure, and exciting opportunities you need to thrive and make your mark. Our co-op program offers more than just experience; you'll join a vibrant community, participate in engaging events, and benefit from personalized mentorship.

As an AI Co-op, you'll gain hands-on experience applying data science and machine learning techniques to solve real-world business problems. You'll work with modern tools and datasets to explore and prepare data, develop predictive models, and generate insights that drive decision-making. Join a supportive team and experience a values-first culture where your career development and well-being are prioritized alongside your job impact. You'll receive guidance from experienced practitioners while gaining exposure to the end-to-end lifecycle of data science, machine learning, and emerging AI solutions in an enterprise environment.

We are currently looking for highly motivated students to join us in our Toronto, Ontario, Canada office for a 4-month co-op, running from January 5th - April 22nd, 2027. This is a hybrid position, where you are expected to be in the office Tuesday-Thursday, with the opportunity to work remotely on Mondays and Fridays.

Position Responsibilities:

  • Explore, prepare, and validate data while ensuring data quality and consistency for analysis and modeling

  • Build and evaluate machine learning models using a range of techniques, with thoughtful experiment design and documentation

  • Support feature engineering, model development, and performance optimization

  • Prototype generative AI solutions (e.g., prompting, retrieval-based methods) with a focus on safety and effectiveness

  • Develop reproducible code and workflows for data processing and modeling using tools such as Python and SQL

  • Communicate insights through clear visualizations, reports, and presentations for both technical and non-technical audiences

Required Qualifications:

  • Currently pursuing an undergraduate degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field

  • Experience with at least one programming language (e.g., Python, R, Java) and familiarity with data manipulation techniques

  • Familiarity with machine learning concepts and tools (e.g., scikit-learn, PyTorch, or similar frameworks)

  • Experience working with SQL or other data querying languages

  • Understanding of version control systems (e.g., Git) and collaborative coding practices

  • Interest in machine learning, data science, and emerging AI technologies

Preferred Qualifications:

  • Exposure to machine learning techniques such as regression, tree-based models, neural networks, or time series methods

  • Familiarity with generative AI concepts (e.g., prompt engineering, retrieval-augmented generation)

  • Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud) or data tools (e.g., Databricks, Spark)

  • Exposure to data visualization tools (e.g., Power BI, Tableau) and ability to present insights clearly

  • Strong problem-solving and communication skills, with the ability to apply technical solutions to business challenges

When you join our team:

  • We'll empower you to learn and grow the career you want.

  • We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

  • As part of our global team, we'll support you in shaping the future you want to see.

  • As part of our co-op program, you will gain early access to Manulife John Hancock's premier early talent program, GRO, tailored to graduating students! This program is designed to launch your career with the support, structure, and opportunities you need to thrive.

Application instructions:

  • Submit your resume, cover letter, academic transcript, and work term evaluation (if any) in one PDF file.

Please note the salary range is expected to be between $54,600 CAD to $72,150 CAD.

The actual salary will vary depending on local market conditions, geography, and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. The annual salary will be pro-rated based on the length of the work-term

#LI-Hybrid

This posting supports an ongoing hiring initiative for existing and/or future vacancies.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.
Manulife is an Equal Opportunity Employer
At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Working Arrangement