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Freelance Data Science Engineer Jobs in Toronto, ON

Lyft

Data Engineer

Toronto, ON

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field * 4+ years of professional experience in data engineering, ideally with large-scale distributed systems.

Stripe

Data Scientist, Fraud

Toronto, ON

... Fraud Data Science team. In this role, you'll build and improve the models that power Stripe's fraud detection and loss management systems. You'll work closely with Fraud Engineering and Risk ...

Sun Life Financial

Senior Data Scientist

King, ON

Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation * Focus on feature engineering, model training, model ...

Sun Life Financial

Senior Data Scientist

Toronto, ON · On-site

Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation * Focus on feature engineering, model training, model ...

Sun Life Financial

Senior Data Scientist

King, ON · On-site

Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation * Focus on feature engineering, model training, model ...

Sun Life Financial

Senior Data Scientist

Toronto, ON · On-site

Data Science and Machine Learning * Translate business goals into analytical problems ... Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs ...

Curinos Inc

Manager, Delivery Data Science

Toronto, ON · On-site

Collaborate effectively with Product, Data Science, Client Success and Engineering teams * Act as a subject matter expert on personalization analytics and model-driven decisioning Desired Skills ...

CIBC

Manager, Data Science

Toronto, ON · Hybrid

What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ... This involves working with multiple stakeholders on data analysis, process engineering for ...

CIBC US

Manager, Data Science

Toronto, ON · Hybrid

What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ... This involves working with multiple stakeholders on data analysis, process engineering for ...

Meridian Credit Union

Data Scientist

Toronto, ON

CA$68K - CA$100K/yr

... engineers, data analysts, and other stakeholders * Analyze large and complex, structured and unstructured data. Prepare AI-ready data models * Ensure the accuracy and reliability of data science ...

Hibernian General Insurance

Data Scientist

Toronto, ON · On-site

CA$80K - CA$120K/yr

As a Data Scientist on the Fraud Data Science team , you'll work closely with a wide range of ... MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ...

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Freelance Data Science Engineer information

What is a freelance data science engineer?

A Freelance Data Science Engineer is a professional who works independently on a contract or project basis to help organizations analyze complex data, build data pipelines, and develop machine learning models. Unlike full-time employees, freelancers typically work with multiple clients, offering their expertise in data wrangling, statistical analysis, and algorithm development as needed. They may assist with everything from data preprocessing to deploying data-driven solutions, often working remotely and with flexible schedules.

What are some common challenges faced by freelance data science engineers when managing multiple client projects simultaneously?

Freelance data science engineers often juggle several projects at once, which can make time management and prioritization particularly challenging. Balancing diverse client expectations, shifting project scopes, and overlapping deadlines requires strong organizational skills and clear communication. Additionally, freelancers must ensure data security and confidentiality across different clients, adapting to various data infrastructures and collaboration tools. Building a structured workflow and setting realistic timelines are key strategies to handle these challenges effectively.

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

To thrive as a Freelance Data Science Engineer, you need a solid background in statistics, programming (typically Python or R), and data analysis, often supported by a relevant degree or equivalent experience. Familiarity with machine learning libraries (like TensorFlow or scikit-learn), cloud platforms (such as AWS or GCP), and data visualization tools is highly valuable. Strong communication, project management, and problem-solving skills set top freelancers apart by enabling effective client collaboration and clear presentation of findings. These competencies are crucial for delivering actionable insights, managing diverse projects independently, and building lasting client relationships.

What is the difference between Freelance Data Science Engineer vs Data Analyst?

AspectFreelance Data Science EngineerData Analyst
CredentialsTypically requires a degree in data science, computer science, or related fields; certifications like Python, R, or cloud platforms are commonUsually holds a degree in statistics, mathematics, or related fields; certifications may include Excel, SQL, or Tableau
Work EnvironmentIndependent, project-based work often remote; collaborates with clients across industriesOften employed within organizations or agencies; may work on ongoing internal projects
Industry UsageCommonly hired for complex data modeling, machine learning, and predictive analytics projectsFocuses on data reporting, visualization, and basic analysis to support business decisions

While both roles involve working with data, Freelance Data Science Engineers typically handle advanced analytics and machine learning projects independently, whereas Data Analysts focus on interpreting data through reports and visualizations within organizations.

What are popular job titles related to Freelance Data Science Engineer jobs in Toronto, ON?

For Freelance Data Science Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Freelance Data Science Engineer jobs in Toronto, ON look for?

The top searched job categories for Freelance Data Science Engineer jobs in Toronto, ON are:

Freelance Data Science Engineer jobs near you

Data Scientist

Toronto, ON • Hybrid

Coca-Cola Canada Bottling Limited
See more jobs at Coca-Cola Canada Bottling Limitedexternal

CA$82K - CA$105K/yr

Full-time

Medical, Retirement, PTO

Re-posted 9 days ago

Job description

Coke Canada Bottling is Canada’s Local Bottler. We’re Made Local.

Proudly independent, we are a Canadian, family-owned business. Coke Canada Bottling makes, distributes, merchandises, and sells the most-loved beverages Canadians enjoy. With over 6,000 diverse employees coast-to-coast, we operate in every province through 50+ sales and distribution centres, and five manufacturing facilities.

Coke Canada supplies some of Canada’s favourite beverage brands, and we want to continue to be the leading beverage partner in Canada, creating a better future and delivering optimism by bringing sustainable value to our employees, customers, consumers, and communities.

Advancing a high-performing, collaborative and inclusive culture is at the core of our vision to be the World’s Greatest Bottler, Built by the Best People, and we’re looking for exceptional talent to help get us there.

For more information about Coke Canada Bottling and our products, visit cokecanada.com/our-product.

Role Details

  • Work Location – Toronto
  • Hybrid Environment – This position currently offers a hybrid work schedule. Subject to change. The in-office requirement is a minimum of three days per week (Tuesday, Wednesday & Thursday), with the flexibility to work remotely on the remaining days.  
  • Salary – The base salary range for this position is from $82,800 - $105,000 annually. The starting base salary offered is based on market location and may vary depending on job-related knowledge, role complexity, skills, experience, and internal equity.
  • Initial Posting Close Date – July 30, 2026 *extended to September 1, 2026
About This Opportunity

We are recruiting for a Data Scientist to join our Data Science and Advanced Analytics team. This Advanced Analytics role is part of the broader Technology function and plays a key role in supporting high impact, data driven initiatives across the organization. The team partners with stakeholders in commercial strategy, sales execution, and operations to address complex business challenges through advanced analytics and machine learning.


As a Data Scientist, you will contribute to cross functional projects involving demand modeling, promotion and trade spend optimization, pricing and elasticity analysis, network and inventory optimization, and scenario modeling. You will work closely with business partners to translate exploratory analytical work into scalable, production ready solutions that enhance planning, strengthen decision making, and improve execution across the organization.

This is an exciting opportunity to leverage your experience in data science, advanced analytics, or applied machine learning to help solve meaningful business challenges and turn complex data into practical, scalable insights.

Responsibilities
  • Contribute to analytics initiatives using statistical and machine learning techniques to solve business problems in demand forecasting, pricing, and product optimization.
  • Support the development and improvement of analytical models to understand demand drivers and price elasticity, ensuring insights are practical, reliable, and business-relevant.
  • Assist in building tools and analytical processes that improve trade spend effectiveness and promotional performance, enabling smarter commercial and sales decisions.
  • Support analytics initiatives that enhance operational planning and execution, applying data-driven insights as the function expands into operations-focused areas.
  • Create clear visualizations and collaborate with cross-functional teams to translate data insights into actionable recommendations for commercial, sales, and operations stakeholders.
Qualifications
  • Bachelor’s degree or a college diploma in a quantitative or technical field (e.g., Statistics, Mathematics, Data Science, Engineering); a Master’s degree is considered an asset.
  • 3+ years of experience in data science, advanced analytics, or applied machine learning roles, with exposure to business-focused analytics.
  • Strong experience working with large, complex datasets and proficiency in SQL and Python.
  • Experience applying statistical modeling and machine learning techniques, such as regression-based models, tree-based models and optimization approaches.
  • Foundational understanding of demand forecasting, elasticity modeling, promotional analysis, or scenario modeling.
  • Familiarity with analytics development within Databricks and the Azure data ecosystem is considered an asset.
  • Strong proficiency in data visualization tools such as Power BI (preferred) or Tableau.
  • Ability to communicate analytical concepts clearly to both technical and non-technical audiences.
  • Proactive mindset with the ability to work through ambiguity, take initiative, and suggest new analytical approaches or opportunities to improve business outcomes.

#CBSAS
#LI-KS1

Why work with us?
  • Join a local, family-owned business that’s part of a globally recognized brand, where you can develop your capabilities, competencies, and career.
  • Coke Canada has a culture of learning, and we offer several channels to support your development, including on-the-job training and a library of free courses for just-in-time learning.
  • We are committed to offering a comprehensive benefits package designed to help our employees achieve their best physical, mental, financial, and overall health and well-being. This includes a competitive compensation package, access to retirement and saving programs, family and employee assistance program, paid vacation and floater days.
  • We have close, local connections with the communities in which we operate across Canada. We’re determined to make a positive difference in our communities; this includes opportunities for employee volunteerism.
  • We’re building our business responsibly and our mission is to work Toward a Better Future Together. We have a plan that outlines how we are reducing, reusing, recycling, decreasing our carbon footprint, and using water responsibly. For more information visit cokecanada.com/sustainability/

Coke Canada has been recognized as one of Canada’s Best Employers for Diversity, and we’re committed to fostering a diverse, equitable and inclusive workplace. Together we are creating a workplace culture that values diversity, enables inclusivity and ensures everyone feels like they belong. We are aiming to ensure our diverse workforce is reflective of the communities in which we operate. Research shows that women-identifying and other marginalized individuals often hesitate to apply unless they meet 100% of the listed qualifications. If this role excites you, even if you don’t check every box, we encourage you to apply. Your unique experience and perspective could be what we’re looking for. Unless otherwise specified, this job post is for an existing vacancy.

Our hiring process is human-driven and does not involve AI tools for screening, assessment, or selection. For individuals requiring accommodations or support throughout the recruitment process please call 1-844-383-2653 or email HR@cokecanada.com.

Important – please note

All offers of employment at Coke Canada Bottling are conditional upon a successful background clearance obtained through our contracted third-party vendor. The standard clearance requirements depend on the position and may include some, or all, of the following: criminal clearance, employment verification, education verification and driver's abstract review. Please advise the Talent Acquisition team if you have any questions or concerns once you are contacted for further consideration.

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