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Freelance Data Scientist Jobs in Quebec (NOW HIRING)

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Freelance Data Scientist information

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$11

$48

$88

How much do freelance data scientist jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for freelance data scientist in Quebec is $48.35, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $67.79 per hour, depending on experience, location, and employer.

What is a freelance data scientist?

A freelance data scientist is an independent professional who offers data analysis, machine learning, and statistical modeling services to various clients on a contract or project basis. Unlike in-house data scientists, freelancers have the flexibility to work with multiple organizations, often remotely, and handle diverse projects. Their responsibilities typically include collecting, cleaning, and analyzing data, building predictive models, and providing actionable insights to help clients make data-driven decisions. Freelance data scientists may work with startups, corporations, or individuals across different industries.

What does a freelance data scientist do?

A freelance data scientist provides data-analytics services to corporate clients or government agencies as an independent contractor. As a freelance data scientist, you may work onsite at client locations or remotely. Your job duties as a freelance data scientist include analyzing big data using statistics and database management software tools. You must identify the correct data sets and variables, validate the data to ensure accuracy, use various forms of data modeling to identify patterns and trends, and finally interpret the data to convey actionable insights.

What are the key skills and qualifications needed to thrive as a freelance data scientist, and why are they important?

To thrive as a Freelance Data Scientist, you need strong analytical abilities, a solid background in statistics and programming (often with a degree in a related field), and proven experience with data modeling and machine learning. Familiarity with tools like Python, R, SQL, and platforms such as TensorFlow, as well as knowledge of data visualization software, are typically required, along with certifications like Microsoft Certified: Azure Data Scientist or Google Professional Data Engineer. Excellent communication, self-motivation, and project management skills help freelancers effectively collaborate with clients and deliver results independently. These skills are essential for turning complex data into actionable insights and maintaining successful client relationships in a competitive, project-based environment.

How do freelance data scientists typically manage communication and collaboration with clients and remote teams?

Freelance Data Scientists often work with clients and project stakeholders across different locations and time zones, making clear and proactive communication essential. They usually rely on collaboration tools such as Slack, Zoom, and project management platforms like Trello or Asana to stay aligned on project goals and deliverables. Setting clear expectations, providing regular progress updates, and being responsive to feedback are key strategies for maintaining strong professional relationships. Additionally, freelancers may need to adapt their communication style to suit each client's preferences and ensure technical findings are translated into actionable insights for non-technical stakeholders.

What is the difference between Freelance Data Scientist vs Data Analyst?

AspectFreelance Data ScientistData Analyst
Required CredentialsOften requires a degree in data science, statistics, or related fields; certifications like CAP, Microsoft Certified Data AnalystTypically requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentIndependent, project-based, remote or on-siteUsually employed within organizations, but also freelance roles; primarily office or remote
Employer & Industry UsageClients across various industries, including tech, finance, healthcareOrganizations seeking insights from data, across industries

While both roles involve working with data, a Freelance Data Scientist focuses on complex modeling, machine learning, and advanced analytics on a project basis. A Data Analyst typically handles data cleaning, reporting, and visualization within organizations. The choice depends on your expertise level and career goals.

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Freelance Data Scientist jobs near you
Infographic showing various Freelance Data Scientist job openings in Quebec as of August 2026, with employment types broken down into 5% Internship, 72% Full Time, 18% Part Time, and 5% Contract. Highlights an 59% In-person, 7% Hybrid, and 34% Remote job distribution, with an average salary of $100,572 per year, or $48.4 per hour.

Digital Marketing Intern - SEO & AI Search

Flexspring, Inc

Montreal, QC • Remote

Internship

Posted 21 days ago

Job description

Search is being rewritten. Come help us shape what's next.

Buyers used to start on Google. Now they ask ChatGPT, Claude, Perplexity, and Gemini which vendors to trust. Getting recommended by an AI assistant is a different problem from ranking on a search page - some people call it Generative Engine Optimization (GEO), some call it AEO, and the field hasn't agreed on a name yet. That's how early this is.


At Flexspring - the leading expert in HR data integration - we're investing in it now rather than waiting for the playbook to be written.


You'll work directly with our VP of Marketing and SEO Specialist across both halves of the job: the SEO discipline that's thirty years old and well understood, and the AI-search side that's about two years old and largely unmapped. You'll run experiments, analyze results, and help build our approach. You'll own real projects and leave with a portfolio that shows measurable business impact.


What you'll do


  • Run keyword research and build the topic clusters and content roadmap that come out of it
  • Figure out what actually makes AI assistants cite a company as a source - and apply it to us
  • Track how we appear in Google, AI Overviews, ChatGPT, Claude, Perplexity, and Gemini
  • Handle on-page optimization and support technical SEO audits
  • Support backlink outreach and digital PR across HR tech and enterprise software publications
  • Use AI tools to accelerate research, competitive analysis, and reporting
  • Analyze rankings, traffic, and AI citations to recommend what we do next


What you'll walk away with


A full audit covering both traditional search and AI visibility for a real iPaaS company. A keyword strategy and content architecture you built. Technical recommendations backed by your own research. Practical experience measuring how a brand shows up inside AI assistants - something very few marketers can claim yet.


What we're looking for


This is a new field. There's no textbook and no established playbook, so we're screening for evidence you move first rather than wait for instructions.


  • You've used AI tools to do something nobody assigned you - automated a workflow, run an experiment, built a small tool, tested how an LLM answers questions in a space you care about. Tell us what you tried and what happened, including the parts that failed.
  • You can read data and find the story in it - rankings, traffic, citations, whatever the numbers are
  • You write clearly and catch details - this work is judged on precision
  • You form opinions and say them out loud - we want someone who'll tell us when an approach isn't working, not someone waiting for direction
  • You work well independently in a fully remote team


Required eligibility - please confirm before applying


  • Enrolled at a Canadian post-secondary institution for the full duration of the internship. You must hold active student status from your start date through your final day. Graduating partway through the term makes you ineligible.
  • Physically located in Canada for the full duration of the internship. We're fully remote, but you must be working from within Canada the entire time - this role can't be performed from abroad, including on a temporary basis.
  • Legally eligible to work in Canada.


Your program can be Marketing, Communications, Business, Data Science, Economics, Computer Science, Information Systems, or something adjacent - we're flexible on discipline, not on the three points above.

Coursework, side projects, freelance work, a blog you grew, a Discord bot you built - all count equally. We care what you've done with your curiosity, not where you got your credential.


Nice to have:


Ahrefs, SEMrush, Google Search Console, GA4, or Screaming Frog familiarity with B2B SaaS or HR tech basic HTML or site structure knowledge. French is an asset, not a requirement.


Why you'll love it:


Fully remote with flexible hours. Direct mentorship from senior marketers. You'll be working in a space with no established playbook - we're expecting you to bring us ideas we haven't had and to tell us when something isn't working. Freedom to experiment with tools that barely existed two years ago, and work you'll actually want to talk about in your next interview.


About Flexspring


Founded in 2013 and headquartered in Montreal, we've delivered 3,000+ custom HR integrations for 800+ organizations, including Fortune 500 companies. More than 50 HR software providers recommend us to their customers. ADP Marketplace Platinum Partner and HR Data Integration Experts of the Year 2025. We're a fully remote team of ~120 people. Everything Connects.


Flexspring is an Equal Opportunity Employer committed to an inclusive workplace where everyone has the opportunity to succeed. Employment decisions are based on business needs, job requirements, qualifications, and merit. Accommodations are available on request at any stage of the recruitment process.

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