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Data Science Student Jobs in Ontario (NOW HIRING)

... of college students, young professionals, housewives, etc. Tasks Include Data operations ... We\- re one of the few applications of AI\/ data science that actually has a massive market and ...

CA$30/hr

Preferably graduate students in Statistics. * Data Science in Python/R: Preferably those with project experience in each language. * AI/Society: Preferably those with programming experience in non ...

CA$30/hr

Preferably graduate students in Statistics. * Data Science in Python/R: Preferably those with project experience in each language. * AI/Society: Preferably those with programming experience in non ...

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Data Science Student information

What is a data science student?

A Data Science Student job typically refers to an internship, part-time role, or research position where students apply their data science skills in a practical setting. These roles often involve working with real-world datasets, building models, analyzing trends, and assisting in data-driven decision-making. Students may use programming languages like Python or R, work with machine learning algorithms, and gain experience with tools such as SQL, Pandas, and TensorFlow. This hands-on experience helps bridge the gap between academic learning and industry applications, preparing students for full-time roles after graduation.

What types of projects or hands-on experiences can I expect as a data science student?

As a Data Science Student, you can expect to work on a variety of data-driven projects such as analyzing real-world datasets, building predictive models, and creating data visualizations. These projects often involve using popular programming languages and tools to solve practical problems, either individually or as part of a team. Many programs encourage participation in hackathons, internships, or collaborative research to provide hands-on experience and deeper industry exposure. Gaining experience through these projects is crucial for building your portfolio and preparing for future roles in the data science field.

What are the key skills and qualifications needed to thrive as a data science student, and why are they important?

To thrive as a Data Science Student, a solid understanding of statistics, programming (especially in Python or R), and data analysis concepts is required, often backed by enrollment in a relevant degree or certification program. Familiarity with tools such as Jupyter Notebook, SQL, and visualization libraries, as well as participation in online courses or bootcamps, is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills help students excel when tackling projects and collaborating with peers. These skills are essential for mastering complex concepts, contributing to team projects, and preparing for a successful transition into a data science career.

What jobs can you get if you study data science?

Data science students can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

What are the most commonly searched types of Data Science Student jobs in Ontario?

The most popular types of Data Science Student jobs in Ontario are:

What are popular job titles related to Data Science Student jobs in Ontario?

For Data Science Student jobs in Ontario, the most frequently searched job titles are:

Infographic showing various Data Science Student job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

2027 Winter Student Opportunities Technology & Operations - Data Specialists, 8-12 months

Royal Bank of Canada

Toronto, ON โ€ข On-site

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Job Description

What is the opportunity?


Are you interested in the opportunity to work as aData Studentat RBC for 8 or 12 Months? By applying to this job posting, you will be considered for multiple roles available across RBC Technology& Operations.

Some excitingroles you'll be considered for are:

  • Data Analyst

  • Data Scientist

Please only apply to this posting if you are eligible to complete a full 8-months co-op term with your school.

What will you do?

  • Analyze, design, deliver, and implement analytic development projects, with the use of RBC's analytics tools

  • Ensure that project activities are accomplished within approved time frames, scope, and budgets

  • Apply data warehouse concepts and methodologies to various projects

  • Utilizethe latest technologies available, designing and building data solutions to meet business needs

  • Be an active contributor to not only your individual team, but to the RBC development community

  • Constantly seek out better ways to do things, new tools, new technologies, new processes

  • Work on transformational projects delivering new value

  • Work as part of an agile team responsible for end-to-end delivery of business needs

  • Use business domain knowledge to independently lead the analytics process to identify valuable and innovative insights

  • Promote analytics across the enterprise to enable RBC to become a data-driven organization

What do you need to succeed?

Must-have

  • Currently enrolled at a Canadian post-secondary institution with a focus ondata science,computer science, mathematics, statistics,machine learning

  • Leadership acumen and a passion to apply it in a dynamic business environment

  • Excellent interpersonal and highly developed communication skills (verbal and written)

  • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment

  • Experience or understanding of open-source software frameworks (Hadoop), data visualization tools (Tableau and Splunk), and databases (SQL and/or VBA)

  • Programming skills in one or morelanguages (ex. Python, R)

  • Ability to data extract, transform, and load processes with a variety of data types

  • Ability to perform complex data analysis on large volumes of data and present findings to stakeholders

  • Strong MS Office skills - Word, Outlook,Exceland PowerPoint

Nice-to-have

  • Proficient in building statistical and algorithmic models with complex and large datasets, including but not limitedto:supervised statistical learning, clustering, natural language processing, recommendation systems, times-series analysis, experimental design (A/B testing), data visualization, deep learning

  • Knowledge of design, development, and implementation utilizing current analytics technologies and architecture, as well as data warehouse concepts and methodologies

  • Relational database concepts and design experience

  • Ability to learn and absorb new concepts (in business and in systems) quickly and apply new knowledge

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.

  • Network and build lasting relationships with students from diverse backgrounds from across Canada

  • Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work-life balance

  • Leaders who support your development through coaching and learning opportunities

  • Work in a dynamic, collaborative, progressive and highly performing team

  • Ability to make a difference and lasting impact

  • Enjoy a comfortable work environment with the option to dress casually

Required Documents: Resume and Academic Transcripts (unofficial are acceptable) in one PDF document
Please ensure you submit these documents in one PDF document under the "resume" section. Do not submit them separately.
We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline isSeptember 20, 2026. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

EARLYTECHTALENT

Job Skills

Active Learning, Adaptability, Communication, Creativity, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative, Teamwork

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Student/Coop (Fixed Term)

Pay Type:

Salaried

Posted Date:

2026-08-17

Application Deadline:

2026-09-21

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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

Employment Type: FULL_TIME