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Entry Level Data Scientist Machine Learning Jobs in Ontario

Data Scientist II

Toronto, ON · On-site +1

CA$81K - CA$115K/yr

Build machine learning models (e.g., XGBoost, regression models) to improve decision-making ... In-depth knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent

Help to grow a team of data scientists and software engineers * Partner closely with portfolio ... Strong background in machine learning, large language models (LLMs), agentic AI frameworks, and ...

... using advanced AI and machine learning. This is a rare opportunity to build the future of ... Lead a team of Data Scientists * Drive innovation in LLM-based security automation, including ...

... using advanced AI and machine learning. This is a rare opportunity to build the future of ... Lead a team of Data Scientists * Drive innovation in LLM-based security automation, including ...

... using advanced AI and machine learning. This is a rare opportunity to build the future of ... Lead a team of Data Scientists * Drive innovation in LLM-based security automation, including ...

Showing results 41-60

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 Ontario?

The most popular types of Data Scientist Machine Learning jobs in Ontario are:

What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Ontario?

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

What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Ontario look for?

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

What cities in Ontario are hiring for Entry Level Data Scientist Machine Learning jobs?

Cities in Ontario with the most Entry Level Data Scientist Machine Learning job openings:

Infographic showing various Entry Level Data Scientist Machine Learning job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist II

Td

Toronto, ON • On-site, Remote

CA$81K - CA$115K/yr

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago


Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$81,600 - $115,200 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

About this Role

Are you passionate about applying analytics, big data, and AI to Life & Health insurance? Join us to drive insights across credit protection, balance protection, term life, accident & sickness, and travel medical insurance.

Accountabilities
Data, Analytics, and AI

  • Develop and deploy data-driven strategies for Life & Health insurance products.
  • Utilize SQL and Python for analysis, automation, and insights.
  • Present findings effectively to technical and non-technical stakeholders.
  • Build machine learning models (e.g., XGBoost, regression models) to improve decision-making.
  • Explore AI opportunities within Life & Health insurance.

Job Requirements

  • Advanced proficiency in SQL, Python for data analysis, automation, and reporting
  • Experience building machine learning models (e.g., XGBoost, regression models)
  • Strong presentation and communication skills
  • 1+ years of experience in an analytical capacity
  • Motivated to constantly strive to find innovative data-informed ways to enhance capabilities
  • In-depth knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent
  • Ability to communicate strategy analysis to both technical and non-technical team members
  • Undergraduate degree

Preferable

  • Experience with AI, including generative models is an asset
  • Machine learning development and deployment is an asset
  • Automation experience is an asset

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet