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Entry Level Python Data Science Jobs in Toronto, ON

Manager, Data Science

Toronto, ON · Hybrid

CA$90K - CA$100K/yr

Data Science and AI Position Summary We are hiring a Data Science Manager to lead project delivery ... Proficiency in Python or R, and comfort working with media, sales, or consumer dataset types.

Data Science Manager

Toronto, ON · Hybrid

CA$90K - CA$100K/yr

Position Summary We are hiring a Data Science Manager to lead project delivery across a range of ... Proficiency in Python or R, and comfort working with media, sales, or consumer dataset types.

Senior Analyst, Data Science

Toronto, ON · Hybrid

CA$70K - CA$80K/yr

About the Role We are looking for a Senior Analyst, Data Science to join our growing data science ... Proficiency in Python or R for data manipulation, modeling, and visualization (pandas, statsmodels ...

Data Scientist II

Toronto, ON

CA$81K - CA$115K/yr

You'll gain hands-on experience with data science, and business analytics while building a strong ... Develop datasets, queries, and analytical assets using Python, SQL, and enterprise data platforms

... scientists and traders to quickly iterate on and put into production analytical and trading tools ... using Python incl. web frameworks like Django or Flask and data science tools - Pandas, Polars ...

New

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Qualifications Must-Have * 1+ years of professional data science experience. * Experience at a leading technology, research, or quantitative firm. * Strong command of Python , SQL , statistical ...

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Qualifications Must-Have * 1+ years of professional data science experience. * Experience at a leading technology, research, or quantitative firm. * Strong command of Python , SQL , statistical ...

Design, build, and deploy end-to-end decision science systems spanning demand forecasting ... Strong Python proficiency across pandas, scikit-learn, PyTorch, and TensorFlow * Strong SQL and ...

Strong programming skills in Python and SQL . * Experience designing and executing data science experiments and machine learning projects. * Ability to translate business problems into scalable AI ...

New

The Data Scientist Associate will perform a variety of activities, which may include: * Perform ... Python, Spark/PySpark, SQL, R, Java, C/C++, Alteryx or Tableau * Must have strong leadership ...

Proficiency in Python and associated data science technologies * Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools * Expertise in SQL or NoSQL databases preferred ...

Qualifications · Background in Computer Science, Data Science, or AI/ML (student or recent grad is good). · Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch. · Exposure ...

New

Experience: 58 years of applied industry experience in data science, statistical analysis, and ... Advanced, production-level programming skills in Python (Pandas, Scikit-Learn, Statsmodels) and ...

Associate Data Scientist - GenAI

Toronto, ON · Hybrid

CA$69K - CA$115K/yr

D. in Computer Science, Data Science, Statistics, or a related field. * Proven experience as a Data ... Proficiency in programming languages such as Python and experience with machine learning libraries ...

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Entry Level Python Data Science information

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an entry level Python data scientist?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What are some common challenges faced by entry level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are the most commonly searched types of Python Data Science jobs in Toronto, ON?

The most popular types of Python Data Science jobs in Toronto, ON are:

What are popular job titles related to Entry Level Python Data Science jobs in Toronto, ON?

For Entry Level Python Data Science jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Data Science jobs in Toronto, ON look for?

The top searched job categories for Entry Level Python Data Science jobs in Toronto, ON are:

Infographic showing various Entry Level Python Data Science job openings in Toronto, ON as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution.

Associate Data Scientist (Canada)

Mississauga, ON • Hybrid

PointClickCare
IT Services • 1 - 5K employees

Full-time

Retirement, PTO

Posted 19 days ago


Job description

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that's founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.

With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada's Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. 

At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.

Join us in redefining healthcare - so it doesn't just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.


**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.

For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.

Position Location:

Hybrid, Mississauga, ON (preferred) or Remote, Canada

Position Summary:

We are looking for an Associate Data Scientist to join our Corporate Data Office department. The position title will depend on qualifications and experience and may be a Data Analyst, Associate Data Scientist, or Data Scientist.  The position is primarily aimed at population health reporting for our Convener clients, which typically include state agencies, hospital associations, and data exchange entities.  The Associate Data Scientist will be responsible for using real-time and historical healthcare data to report on metrics and trends in a variety of areas such as acute care utilization, conditions and diagnoses, facility onboarding, data quality, platform user metrics and engagement, platform notifications, and related functionality. The Data Scientist will prepare, analyze, and review healthcare data; visualize data, interpret results, and provide recommendations; and manage relationships with our internal and external partners.

In addition, the Data Scientist may also extract data, conduct analyses, visualize data, and present findings and recommendations to other external customers or internal departments such as Product, Professional Services, Customer Success, Sales, Marketing, or other areas.

Key Responsibilities:
  • Extract data to build metrics or create/update Tableau dashboards to track success toward company, department, and customer KPIs
  • Share insights with customers regarding drivers of success or areas of opportunity
  • Research new ideas to help prioritize areas of focus
  • Consult with internal and external customers to develop new dashboards, metrics, KPIs, outcomes evaluation, or ROI
  • Respond to ad hoc analytic requests from internal and external customers
  • Understand and use the data warehouse and relational databases
  • Ensure accurate quality of deliverables by participating in peer review
Who you'll work with:
  • The Associate Data Scientist will work closely with other members of our Data Science department as well as many teams throughout the organization such as Market Directors, Solutions Design, Customer Success, Sales, Marketing, Product, Professional Services, and more.
Required Skills & Experience:
  • Bachelor's degree (or equivalent experience) in data science, analytics, mathematics, statistics, public health, economics, social science, or actuarial science.  Master's degree preferred.
  • 2-7 years of experience related to analytics work or equivalent combination of education and experience
  • Previous healthcare related industry experience a plus
  • Experience with data manipulation tools such as Python; data visualization tools such as Tableau; and data extraction via querying languages (SQL)
  • Knowledge of all Microsoft Office applications, including Word, Excel, and PowerPoint
  • Ability to meet deadlines, work with tight schedules, and manage multiple priorities under minimum supervision
  • Excellent verbal and written communication skills
  • Strong analysis skills
  • Strong attention to detail
  • Experience with cleaning, aggregating, and pre-processing data from varied sources. Experience creating complex SQL queries for standard as well as ad hoc data mining purposes.
$90,000 - $100,000 a year

At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $90,000 - $100,000 + bonus + benefits, non-overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process

#LI-TW1
#LI-Hybrid

PointClickCare Benefits & Perks:

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition ... and more!

It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact [email protected] should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.

When you apply for a position, your information is processed and stored with Lever, in accordance with Lever's Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare's human resources team: [email protected] 

PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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