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Data Science Assistant Jobs in Ontario (NOW HIRING)

You have a strong command of machine learning, data science and software engineering. You're ... We may use artificial intelligence tools as part of our recruitment process to assist in the ...

Data Scientist III

Toronto, ON ยท On-site

CA$96K - CA$136K/yr

The work spans foundational data and reporting, interaction analytics, agent assist, knowledge ... Lead data science initiatives from business problem definition through planning, solution design ...

You have a strong command of machine learning, data science and software engineering. You're ... We may use artificial intelligence tools as part of our recruitment process to assist in the ...

Data Scientist

Toronto, ON ยท On-site

CA$80K - CA$120K/yr

MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ... Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment ...

Data Scientist

Markham, ON

CA$80K - CA$120K/yr

MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ... Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data Science Assistants and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
What are the most commonly searched types of Data Science jobs in Ontario? The most popular types of Data Science jobs in Ontario are:
What are popular job titles related to Data Science Assistant jobs in Ontario? For Data Science Assistant jobs in Ontario, the most frequently searched job titles are:
Infographic showing various Data Science Assistant job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Manager, Data Science

Hibernian General Insurance

Toronto, ON โ€ข On-site

CA$150K - CA$170K/yr

Other

Medical, Retirement

Posted 4 days ago


Job description

Experience Aviva

Together, we are Aviva. Our values - Care, Commitment, Community, and Confidence - guide how we show up for each other and for our customers. Individually, they're words. Together, they define who we are.

At Aviva Canada, we put people first, our employees, our customers, and our communities. We're proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We're not just about insurance; we're about making a real difference by protecting what matters most.

The Opportunity

Join an exciting team of actuaries, data scientists and engineers at the forefront of using data to drive decisions at every level of our organization. The insurance industry is transforming, and you get to be in the driver's seat of this data-driven technology revolution.

Our priority is understanding key business areas and executing on opportunities where Data Science can accelerate growth, increase profitability, and reduce operational costs at Aviva.

As a Manager, Data Science, you will lead a diverse team with exposure to different business partners and direct influence on future products and innovative solutions. You will lead a hungry team of data scientists and actuaries to deliver high value initiatives for our personal lines business, supporting over $4bn of premium. The manager's responsibilities extend to working with our business partners to identify opportunities to improve processes and practices as well as shaping the solutions of the future through best-in-class pricing models.

This is your chance to join the InsureTech revolution!

Come join our team!

What you'll do:
  • Develop a high-performing technical team focused on data science.

  • Provide learning and growth opportunities to the team based on the manager's technical proficiency in data science and actuarial science.

  • Oversee the development of data science products, models and other data-driven outputs while supplying in a technical capacity when vital.

  • Ensure tight-knit collaboration with all relevant partners, technical teams, and users across the organization.

  • Straddle the worlds of insurance professionals, data scientists and engineers to prioritize data-driven solutions.

  • Work closely with business partners to understand day-to-day challenges and key areas of opportunity for innovation and growth.

  • Engage directly with users, empathize with their experience, and use data to advise decisions.

  • Provision of data innovation, support, and insights to our key business areas.

  • Model monitoring to ensure the ongoing quality of pricing models.

  • The development of tools that give non-technical users accesses to ingestible data & insights.

  • Smoother integration of data science into crucial business areas, either as novel entries or improvements to existing processes or tools.

  • Drive long term strategic direction of team through ownership mentality

  • Communicating and presenting data science solutions, results, and outcomes to a VP level.

What you'll bring:
  • Undergraduate degree in Data Science, Actuarial Science or other related fields, or equivalent experience.

  • At least five years of experience working in an Data Science or Actuarial Science driven organization or team.

  • Expert proficiency in at least one programming language, preferably Python. A proficiency is sufficiently strong enough to mentor.

  • Excellent communication skills and comfort communicating sophisticated ideas appropriately for senior leadership and non-technical audiences.

  • Understanding of UI/UX design and how it impacts the user experience.

  • Ability to assess and improve the usability and design of a solution.

What makes you stand out:
  • Proven experience leading technical professionals in managerial or senior technical roles.

What you'll get:
  • The salary band for this position ranges from $150,000 to $170,000. Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity.

  • Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.

  • Hybrid flexible work model.

  • Outstanding career development opportunities.

  • We'll support your professional development education.

  • Competitive vacation package with the option to purchase 5 extra days off per year.

  • Employee-driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.

  • Corporate wellness programs to support our employees' physical and mental health.

This job advertisement is for an existing vacancy which has been posted both internally & externally.

Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position.

Aviva Canada welcomes applications from all qualified individuals and has a process in place to provide accommodations for persons with disabilities at all stages of the hiring process and during employment. If you require an accommodation during the interview or hiring process, please contact your Aviva Talent Acquisition Partner so that an appropriate accommodation can be arranged.

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