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Remote Data Science Intern Jobs in Ontario (NOW HIRING)

CanadaHelps

Data Scientist

Toronto, ON · Remote

CA$70K - CA$80K/yr

This position is remote but may require to be in-office in Toronto for team collaborations ... A degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field

Autodesk

Senior Data Analyst

Toronto, ON · On-site +1

We are open to remote candidates based in Canada. Responsibilities * Own analytics projects from ... Partner with Data Scientists toidentifyareas of improvement forData Science models * Work with Data ...

Micro1

Remote Physics Expert (PhD)

ON · Remote

Physics Expert (PhD) $80 - $90/hourpay Required Skills Advanced physics knowledge scientific data ... Remote micro1 is engaging Physics (PhD) experts to contribute their advanced knowledge to a high ...

New

Micro1

Remote Physics Expert (PhD)

Lambton Shores, ON · Remote

Physics Expert (PhD) $80 - $90/hourpay Required Skills Advanced physics knowledge scientific data ... Remote micro1 is engaging Physics (PhD) experts to contribute their advanced knowledge to a high ...

New

Micro1

Remote Physics Expert (PhD)

North York, ON · Remote

Physics Expert (PhD) $80 - $90/hourpay Required Skills Advanced physics knowledge scientific data ... Remote micro1 is engaging Physics (PhD) experts to contribute their advanced knowledge to a high ...

New

Micro1

Remote Physics Expert (PhD)

Vaughan, ON · Remote

Physics Expert (PhD) $80 - $90/hourpay Required Skills Advanced physics knowledge scientific data ... Remote micro1 is engaging Physics (PhD) experts to contribute their advanced knowledge to a high ...

New

Micro1

Remote Physics Expert (PhD)

Port Colborne, ON · Remote

Physics Expert (PhD) $80 - $90/hourpay Required Skills Advanced physics knowledge scientific data ... Remote micro1 is engaging Physics (PhD) experts to contribute their advanced knowledge to a high ...

New

Micro1

Remote Physics Expert (PhD)

Cornwall, ON · Remote

Physics Expert (PhD) $80 - $90/hourpay Required Skills Advanced physics knowledge scientific data ... Remote micro1 is engaging Physics (PhD) experts to contribute their advanced knowledge to a high ...

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Remote Data Science Intern information

What is a Remote Data Science Intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects do Remote Data Science Interns typically work on, and how do they collaborate with their teams?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

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

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.
What are the most commonly searched types of Remote Data Science jobs in Ontario? The most popular types of Remote Data Science jobs in Ontario are:
What are popular job titles related to Remote Data Science Intern jobs in Ontario? For Remote Data Science Intern jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Intern jobs in Ontario look for? The top searched job categories for Remote Data Science Intern jobs in Ontario are:
What cities in Ontario are hiring for Remote Data Science Intern jobs? Cities in Ontario with the most Remote Data Science Intern job openings:
Remote Data Science Intern jobs near you
Infographic showing various Remote Data Science Intern job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Scientist - Operation Research

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Toronto, ON • On-site, Remote

Full-time

Re-posted 23 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve Pricing techniques.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Apply