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Data Science New Grad Jobs in Toronto, ON (NOW HIRING)

Design, build, and deploy end-to-end decision science systems spanning demand forecasting ... Experience as an early or founding Data Scientist in a new team or product area * Hands-on ...

... new business opportunities. Our mission is to increase the GDP of the internet, and we have a ... About the team Our Data Science team partners deeply with teams across Stripe to ensure that our ...

Lead the design and delivery of high-impact decision science systems across forecasting ... Experience as a founding or early senior hire in a new DS organization * Hands-on portfolio ...

Data Science and Analytics Location: 6300 Steeles Ave West, Woodbridge Total Potential Compensation ... of new customer related data fields. * Represent the department in committees within the ...

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Senior Manager, Data Science About ... Investigating the impact of new technologies on the future of digital banking and the financial ...

Lead client consultations as the primary data science expert, translating complex statistical concepts into strategic business recommendations * Drive new business development by contributing to ...

North York, 1-2 days per month on-site -- We have a great new opportunity to support one of our ... Experience: 58 years of applied industry experience in data science, statistical analysis, and ...

Data Scientist

Oakville, ON · On-site

CA$53K - CA$88K/yr

Deploy new models, implement updates, track data transfers, oversee scoring activities, and manage ... University degree in STEM or data science. Postgraduate degree in mathematics, statistics, data ...

Lead the exploration, implementation, and testing of new NLP solutions. * Transform complex and ... Lead and enforce data science best practices: coding, peer-review, experimentation and testing.

Showing results 21-40

Data Science New Grad information

What is a data science new grad?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What are the key skills and qualifications needed to thrive as a data science new grad?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.

What types of projects can a data science new grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are popular job titles related to Data Science New Grad jobs in Toronto, ON?

For Data Science New Grad jobs in Toronto, ON, the most frequently searched job titles are:

What cities near Toronto, ON are hiring for Data Science New Grad jobs?

Cities near Toronto, ON with the most Data Science New Grad job openings:

Infographic showing various Data Science New Grad job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

Actuarial Analyst - New Grad

Wawanesa Insurance

Toronto, ON • Hybrid

CA$64K/yr

Full-time, Part-time

Retirement, PTO

Posted 4 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.