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Entry Level Data Scientist Machine Learning Jobs in Toronto, ON

Advanced Micro Devices, Inc

Machine learning, data science, computer vision, statistics, and mathematics * Programming in Python, C/C++ * Relational (SQL) and no-SQL databases. * Machine learning algorithms and frameworks

Manulife

Winter Co-op 2027 - AI (12 Months)

Toronto, ON · Hybrid

CA$54K - CA$72K/yr

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 ...

Manulife

Winter Co-op 2027 - AI

Toronto, ON · Hybrid

CA$54K - CA$72K/yr

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 ...

Flinks

Senior Data Scientist

Toronto, ON · Remote

The Role We're hiring a Senior Data Scientist to own machine-learning models end to end - from framing the problem and designing the model through the training pipeline, deployment to a live endpoint ...

The Trade Desk

Applied Scientist II

Toronto, ON · On-site

As a Data Scientist, you will contribute meaningfully through leading others. WHO WE ARE LOOKING ... machine learning * You think beyond just the task at hand to deeply understand the 'why' behind ...

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Entry Level Data Scientist Machine Learning information

What is an entry level data scientist machine learning?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are the key skills and qualifications needed to thrive as an entry level data scientist machine learning?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are some common challenges faced by entry level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Toronto, ON?

The most popular types of Data Scientist Machine Learning jobs in Toronto, ON are:

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For Entry Level Data Scientist Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:

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The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Toronto, ON are:

Entry Level Data Scientist Machine Learning jobs near you
Infographic showing various Entry Level Data Scientist Machine Learning job openings in Toronto, ON as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Staff Data Scientist, (Global Security)

Toronto, ON • On-site

Royal Bank of Canada
Banking and Credit Intermediation • 10K+ employees
Learn more about Royal Bank of Canadaexternal

Full-time

Re-posted 9 days ago

Job description

Job Description

What is the opportunity?

Advanced data scientist who explores and analyzes datasets using pandas and Spark, conducting statistical inferences from basic parameter estimation to complex model building with sophisticated methods. Demonstrates strong command of Bayesian statistics and advanced statistical learning techniques while interpreting correlations and performing rigorous significance testing to distinguish meaningful results from noise. Transforms data across multiple formats including graph-based representations, applying critical thinking to solve ambiguous problems. Ships production-ready code with optimization and security considerations, leading PL08 data scientists in daily tasks while overseeing multiple projects and providing technical mentorship across teams.

What will you do?

Apply critical thinking to develop high-level approaches to vague problems Build complex statistical models using sophisticated parameter learning methods Write maintainable, optimized, and secure production code Ship code to production with optimization and security considerations Lead junior data scientists in day-to-day technical tasks Oversee multiple data science projects simultaneously Apply strong understanding of Bayesian statistics to analytical problems

What do you need to succeed?

Must Have

  • Strong analytical abilities Strong understanding of foundational concepts
  • Min 3 years of hands-on experience with Pyspark, Python, Scala Focused on data science but NLP exposure will be recommended. Supervised/ Unsupervised Machine Learning, Anomaly detection, Bayesian statistics.

Nice to Have

  • Experience coming from Cyber security background.
  • Has a good understanding and implementation of LLM tools.

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
  • Opportunities to take on progressively greater accountabilities
  • Opportunities to building close relationships with clients
  • Access to a variety of job opportunities across business and geographies.

#LI-Post

Job Skills

Analytics, Big Data Management, Collaboration, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Natural Language Programming (NLP), Predictive Analytics, Problem Solving, PySpark, Python (Programming Language)

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:

2026-06-02

Application Deadline:

2026-09-15

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.

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

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