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Data Science Entry Level Remote Jobs in Toronto, ON

Tiny Health

AI Engineer

Toronto, ON · Remote

... own data and in science our team has reviewed. You'll partner with engineers, product, and our ... Comfortable driving work forward in a fast-paced, remote startup environment. Preferred

Alimentiv

Statistician

Toronto, ON · Remote

Responsible for the application of biostatistical methods to support clinical trials and data ... scientific processes and results. Project Support * Provide statistical expertise and guidance ...

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All JobsData Science JobsData Science Entry Level Remote JobsData Science Entry Level Remote Jobs in Toronto, ON

Data Science Entry Level Remote information

What is a data science entry level remote job?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.

What skills and qualifications are needed to thrive as an entry-level remote data scientist?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What challenges do entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

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

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

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

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

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

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

Data Science Entry Level Remote jobs near you
Infographic showing various Data Science Entry Level Remote 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 83% Physical, 6% Hybrid, and 11% Remote job distribution.

Investment Analyst, Cross Asset Thematic Investing, Student Intern (Winter 2027 - 4 Months)

Toronto, ON • On-site, Remote

Healthcare of Ontario Pension Plan
See more jobs at Healthcare of Ontario Pension Planexternal

CA$26 - CA$40/hr

Full-time

Medical, Retirement

Posted 16 days ago

Job description

Why you'll love working here:

  • high-performance, people-focused culture

  • our commitment that equity, diversity and inclusion are fundamental to our work environment and business success, which helps employees feel valued and empowered to be their authentic selves

  • learning and development initiatives, including workshops, Speaker Series events and access to LinkedIn Learning, that support employees' career growth

  • optional membership in HOOPP's world class defined benefit pensionplan, which can serve as an important part of your retirement security

  • virtual fitness, yoga and meditation classes, nutritional consultations and wellness seminars

  • flexible hybrid work model that embraces remote work

  • the opportunity to make a difference and help take care of those who care for us, byproviding a financially secure retirement for Ontario healthcare workers

Application deadline: September 15, 2026

Application requirements: Resume, transcript

Job Summary

The Healthcare of Ontario Pension Plan (HOOPP) is a defined benefit (DB) pension plan that is dedicated to providing a secure retirement income to more than 478,000 members in Ontario's healthcare sector. More than 700 employers across the province offer HOOPP to their employees.

The Cross-Asset Thematic Investing team of Capital Markets invests across publicly traded assets such as equities, fixed income, commodities, and currencies. Our investment approach is grounded in fundamental, top-down research on macroeconomic, geopolitical, and transformative forces, supported by data-driven analysis to identify important market themes, understand drivers of asset returns, and structure portfolio management decisions to capture investment opportunities across global markets.

This internship offers a front-row seat to global markets and the investment process. You will gain hands-on experience in global macro and thematic research, portfolio management, and the development of tools that improve market screening, investment analysis and portfolio monitoring. The role will involve extensive use of Python, Excel, AI tools, Bloomberg, and market data to support research and investment workflows.

What you will do:

  • Help build and improve tools using Python, Excel, and AI technologies to support market research, portfolio analysis, and portfolio monitoring.

  • Research global macro and thematic developments across asset classes, analyzing economic, market, geopolitical, and structural trends and their implications for markets and portfolios.

  • Support portfolio analysis and management, including evaluating exposures, risk, performance, and the potential impact of different market scenarios and investment themes.

  • Develop and automate research and portfolio-monitoring processes to make investment workflows more efficient, scalable, and timely.

  • Work closely with portfolio managers to monitor portfolio performance, risk, market developments, and key investment themes.

  • Advance practical applications of AI tools for research, data analysis, information synthesis, workflow automation, and investment decision support.

  • Contribute to daily portfolio management activities and a variety of ad-hoc market and investment research projects.

What you will bring:

  • Currently enrolled in a Master's program or in the 3rd/4th year of an Undergraduate program in Economics, Finance, Computer Science, Engineering, Mathematics, Statistics, or a related field.

  • Strong academic performance, solid research skills, and a passion for problem solving.

  • Programming proficiency in Python, including experience working with data analysis and visualization, and advanced Excel skills.

  • Experience in using AI tools for research, analysis, coding, or workflow automation is required.

  • Strong curiosity about global markets, macroeconomics, and thematic investing, with an interest in translating research and market developments into portfolio insights.

  • Strong analytical and problem-solving skills, with the ability to combine qualitative judgment and quantitative analysis.

  • Well-organized, with a high degree of initiative and the ability to manage multiple priorities.

  • Strong communication skills and the ability to synthesize complex information and present findings clearly.

  • Share HOOPP's core values: accountability, compassion and trustworthiness.

The expected hourly rate range for this role is $26.00 to $40.00

The actual hourly rate offered to the successful candidate may vary based on multiple factors including, but not limited to, individual's expertise and level of experience applicable to the role they are being offered.

This job posting is for a newly created role.

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