Actuarial Analyst I
CA$90/hr
... data scientists. This is a unique opportunity to join a team of experienced actuariesin order ... DEPTH * Entry level role with a focus on providing functional specialized business services ...
Actuarial Analyst I
CA$90/hr
... data scientists. This is a unique opportunity to join a team of experienced actuariesin order ... DEPTH * Entry level role with a focus on providing functional specialized business services ...
Entry Level Data Science information
See Quebec salary details
$20K - $32.5K
18% of jobs
$36.4K is the 25th percentile. Wages below this are outliers.
$32.5K - $45K
22% of jobs
The median wage is $56.3K / yr.
$45K - $57.5K
11% of jobs
$57.5K - $70K
4% of jobs
$76.8K is the 75th percentile. Wages above this are outliers.
$70K - $82.5K
36% of jobs
$82.5K - $95K
1% of jobs
$95K - $107.5K
2% of jobs
$107.5K - $120K
2% of jobs
$120K - $132.5K
1% of jobs
$132.5K - $145K
1% of jobs
$145K - $157.5K
1% of jobs
$20K
$67.4K
$157.5K
How much do entry level data science jobs pay per year?
As of Jul 31, 2026, the average yearly pay for entry level data science in Quebec is $67,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $80,000.00 per year, depending on experience, location, and employer.
Is 40 too late for data science?
Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.
What are entry level data science jobs?
Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.
How do I become a data scientist with no experience?
To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.
What is the 80 20 rule in data science?
In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.
What types of projects or tasks can I expect to work on as an entry-level data scientist?
As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.
What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?
To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.
What is the difference between Entry Level Data Science vs Data Analyst?
| Aspect | Entry Level Data Science | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in CS, Statistics, or related field; some certifications | Bachelor's in Business, Statistics, or related field; certifications optional |
| Work Environment | Tech companies, startups, research labs | Business, marketing, finance sectors |
| Employer & Industry Usage | Data-driven roles in tech and research | Business insights, reporting, and visualization |
| Common Search & Comparison | Yes | Yes |
Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.
Can I get a data scientist job with no experience?
Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Quebec? The most popular types of Data Science jobs in Quebec are:
What are popular job titles related to Entry Level Data Science jobs in Quebec? For Entry Level Data Science jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Quebec look for? The top searched job categories for Entry Level Data Science jobs in Quebec are:
Job description
Work Location:
Toronto, Ontario, CanadaHours:
35Line of Business:
Data & AnalyticsPay Details:
68 000 $/$68,000 - 90 000 $/$90,000 CADTD 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:
The mandate ofthe Strategy, Enablement and Optimizationteam isto improve customer experience, colleague experience and optimize claimsand shared servicesoperationscosts through providing deep analyses and understanding of theoperationsprocesses to stakeholders.
This team is a multidisciplinary team that collaborates with actuaries, claims adjusters, data experts and data scientists. This is a unique opportunity to join a team of experienced actuariesin order toapply and develop your analytical and business acumen skills by having a direct impact on the improvement of the claim processes at TD Insurance.
KEY ACCOUNTABILITIES
CUSTOMER
Support the business and overall team by providing general analytical support to the Actuarial function
Assist in the preparation of statistical analyses or financial statements, involving premiums, losses and expenses documenting and verifying applied factors, methodologies and assumptions
Participate in initiatives that will improve customer and colleague experience by proposing solutions leveraging insights from data and analytics.
SHAREHOLDER
Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate
Be knowledgeable of practices and procedures within own area of responsibility and keep abreast of emerging trends for own functional area
Protect the interests of the organization - identify and manage risks, and escalate non-standard,high riskactivities as necessary
Identify, recommend and effectively execute standard practices applicable to the discipline
Adhereto internal policies/procedures and applicable regulatory guidelines
Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts
Contribute to the rating team's innovation culture that will allow the company to increase its competitiveness.
Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
EMPLOYEE / TEAM
Participatefully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
Support the team by continuously enhancing knowledge / expertise in own area and participate in knowledge transfer within the team and business unit
Participate in personal performance management and development activities, including cross training within own team
Keep others informed andup-to-dateabout the status / progress of projects and / or all relevant or useful information related to day-to-day activities
Contribute to the success of the team by willingly assisting others in the completion and performance of work activities; provide training, coaching and/or guidance as appropriate.
Contribute to a fair, positive and equitable environment that supports a diverse workforce
Act as a brand champion for your business area/function and the bank, both internally and/or externally
BREADTH & DEPTH
Entry level role with a focus on providing functional specialized business services, advisory or process / program support for own area of specialty, within defined parameters
Requires sound conceptual knowledge in their own field of specialty
Typicallyno supervisory accountability but may provide informal guidance to others
Works under close management supervision and guidance
May lead small projects and / or support work streams of a bigger project
Generallyreports to a Manager / Senior Manager role
EXPERIENCE & EDUCATION
Bachelor's ormaster's degree in Actuarial Sciencesor related field
1+ years of related experience
Analytical mind and ability to make sound decisions
Strong aptitude forteam work
Ability to complete tasks independently
Good organization and time management skills
Creative in finding solutions to complex problems
Proficiency in Microsoft Office Suite
Proficiency in programing or using analytical tools (R, Python, SQL, VBA, etc.)
Who We Are:
As part of TD Bank Group, one of Canada's largest financial institutions, at TD Insurance, we care for Canadian families, making it easy to get the best advice, protection, and support in their moments of need, always.
TD Insurance offers a wide range of products, including General Insurance and Life and Health. Everyday, we strive to make every interaction, product and experience remarkably human and refreshingly simple for more than four million customers who count on us.
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):
Maitrise d'une langue autre que le francais pour offrir du soutien ou traiter avec des employes qui ont besoin de services et de soutien dans une langue autre que le francais.