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New Grad Machine Learning Jobs in Ontario (NOW HIRING)

Omers

Lead, AI/Machine Learning Engineer

Toronto, ON

An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney ... The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the ...

Td

Applied Machine Learning Scientist II

Toronto, ON

CA$125K - CA$154K/yr

We're looking for a highly motivated Applied Machine Learning Scientist to join our AI2 team. In ... Take a lead role in scoping of new models - translate business needs into analytical solution. Job ...

Numerator

Numerator is looking for a hands-on Tech Lead Manager to join our growing Machine Learning team ... Stay current with the fast-moving GenAI landscape and translate new capabilities into practical ...

Numerator

Numerator is looking for a hands-on Tech Lead Manager to join our growing Machine Learning team ... Stay current with the fast-moving GenAI landscape and translate new capabilities into practical ...

CLV Group

New Grad Sales Representative

Oakville, ON · On-site

CLV's New Graduate Real Estate Foundations Program is designed to give you real responsibility ... learning experience that builds commercial awareness, analytical capability, and professional ...

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All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Ontario

New Grad Machine Learning information

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are popular job titles related to New Grad Machine Learning jobs in Ontario?

For New Grad Machine Learning jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching New Grad Machine Learning jobs in Ontario look for?

The top searched job categories for New Grad Machine Learning jobs in Ontario are:

What cities in Ontario are hiring for New Grad Machine Learning jobs?

Cities in Ontario with the most New Grad Machine Learning job openings:

New Grad Machine Learning jobs near you
Infographic showing various New Grad Machine Learning job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Actuarial Analyst - New Grad

Wawanesa Insurance

Kitchener, ON • Hybrid

CA$64K/yr

Full-time, Part-time

Retirement, PTO

Posted 5 days ago

Job description

Job ID: 10268 


Employment Type: Existing Role

Work Environment: We offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote work. You may work from any of the following locations: Winnipeg, MB; Wawanesa, MB; Vancouver, BC; Calgary, AB; Edmonton, AB; Lethbridge, AB; Toronto (North York), ON; Kitchener, ON; Ottawa, ON; Montreal, QC; Moncton, NB; Dartmouth; NS. 

Working Business Language: English. This role requires regular interaction with internal and external stakeholders across Canada where the primary business language utilized is English.As such, the successful candidate must be fully proficient in English.   
 

Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension plan. 
 

The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary starts at $64,150. 

About The Wawanesa Mutual Insurance Company
Founded in 1896, The Wawanesa Mutual Insurance Company is one of Canada's largest mutual insurers, 100% owned by its members, with more than $4.1 billion in annual revenue and $12.5 billion in assets. Headquartered in Winnipeg, Wawanesa is the parent company of Wawanesa Life, which provides life insurance solutions throughout Canada, and Western Financial Group, a leading national distributor of personal and business insurance. In March of 2026, Wawanesa entered into an agreement to acquire Everest Insurance Company of Canada to strengthen its commercial insurance capabilities and advance its long-term growth strategy.


Wawanesa proudly serves more than 1.8 million members and we are home to more than 3,000 employees across Canada. The company actively gives back to organizations that strengthen communities, donating more than $4 million annually to charitable organizations, including more than $2 million each year in support of people on the front lines of climate change. Learn more at wawanesa.com.

We are currently looking for dedicated, driven, and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.

Job Overview

Working with a high degree of autonomy, the Actuarial Analyst provides contributions based on knowledge from the actuarial exam system, and prior relevant academic or work experience. They will apply their knowledge to actuarial analysis in the pursuit of solving business issues and answering business questions.

This role is intended for Actuarial Students who are completing their studies and looking to be considered for full-time, new grad roles at Wawanesa.

Job Responsibilities

  • Analytical
    • Researches, extracts, and manipulates complex data from relevant sources, and assesses data quality
    • Supports the business and overall team by performing analyses/reviews and supporting ad-hoc requests/special projects in a timely manner with support from peers and leaders
  • Process Improvement/Efficiency
    • Evaluates existing processes to find areas for increased efficiency
    • Identifies opportunities for automation of routine tasks
  • Industry
    • Builds insurance knowledge through industry and mainstream news publications
    • Encouraged to represent Wawanesa at external events that may include universities and actuarial clubs
  • Commitment to Learning
    • Commits to professional development and continuous experiential learning to build cross-functional knowledge, technical skills, and mastery in competencies
  • Stakeholder Management
    • Learns who the relevant stakeholders are for key work projects.
  • Project Management
    • Develops awareness and understanding of the different teams that actuaries connect with. Learns how their work connects to the actuarial work.
  • Coaching & Developing Others
    • Reviews analysis of peers and provides thoughtful feedback on reasonableness, completeness and accuracy
Qualifications
  • Bachelor's degree in Actuarial Science, Mathematics, Statistics, or other related discipline
  • Actuarial or related experience an asset
  • Working towards ACAS designation; 1 CAS exams an asset
  • Communication/Building Relationships
    • Strong oral and written communication skills, demonstrating the ability to convey business terminology and insights that are meaningful and well received
    • Ability to clearly document work and present results to colleagues
    • Ability to ask questions in a manner that yields the required knowledge and/or information
    • Expands business acumen by building relationships with colleagues in other functions
  • Computer/Programming Skills
    • Basic knowledge of Excel, SQL, R, Python and/or other related software/programming languages/actuarial software
    • Ability to adapt to new enterprise system environments
  • Problem solving
    • General knowledge of actuarial science, mathematics, probability, statistics, principles of finance and business, and developing ability to apply this knowledge to problems in insurance
    • Ability to suggest ideas for possible solutions to problems
  • Detail oriented
    • Good attention to detail when performing analysis with minimal significant technical errors
    • Understanding of need to balance materiality/efficiency and accuracy/detail
  • Time Management/Organization
    • Ability to handle multiple concurrent assignments in a timely manner, working with leader to prioritize tasks
  • Conflict Management/Teamwork
    • Ability to work efficiently and co-operatively in a team environment. Helps team with value-add tasks.
  • Actuarial Standards
    • Builds knowledge of current industry and professional standards as they directly relate to individual responsibilities


Diversity Equity, Inclusion& Belonging
At Wawanesa, we are committed to Diversity, Equity, Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people - this is supported by having a representative workforce.

We welcome applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender-diverse and neurodiverse individuals, and anyone who can contribute to the further diversification of thought and ideas. 
 

We aim to ensure our recruitment process is accessible to all candidates. If you require accommodations during any stage of the recruitment process, please reach out in confidence to jobs@wawanesa.com.
 

All Wawanesa job applicants are subject to Wawanesa's Privacy Policy.

Please note that the recruitment process for this position may involve the use of AI tools to screen, assess, or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation.  
 

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