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Entry Level Data Scientist Machine Learning Jobs in Ontario

Machine learning, data science, computer vision, statistics, and mathematics * Programming in Python, C/C++ * Relational (SQL) and no-SQL databases. * Machine learning algorithms and frameworks

Machine learning, data science, computer vision, statistics, and mathematics * Programming in Python, C/C++ * Relational (SQL) and no-SQL databases. * Machine learning algorithms and frameworks

As an AI Co-op, you'll gain hands-on experience applying data science and machine learning techniques to solve real-world business problems. You'll work with modern tools and datasets to explore and ...

Winter Co-op 2027 - AI

Toronto, ON · Hybrid

CA$54K - CA$72K/yr

As an AI Co-op, you'll gain hands-on experience applying data science and machine learning techniques to solve real-world business problems. You'll work with modern tools and datasets to explore and ...

... using advanced AI and machine learning. This is a rare opportunity to build the future of ... Lead a team of Data Scientists * Drive innovation in LLM-based security automation, including ...

... using advanced AI and machine learning. This is a rare opportunity to build the future of ... Lead a team of Data Scientists * Drive innovation in LLM-based security automation, including ...

... using advanced AI and machine learning. This is a rare opportunity to build the future of ... Lead a team of Data Scientists * Drive innovation in LLM-based security automation, including ...

... using advanced AI and machine learning. This is a rare opportunity to build the future of ... Lead a team of Data Scientists * Drive innovation in LLM-based security automation, including ...

... using advanced AI and machine learning. This is a rare opportunity to build the future of ... Lead a team of Data Scientists * Drive innovation in LLM-based security automation, including ...

Showing results 41-60

Entry Level Data Scientist Machine Learning information

What is an entry level data scientist machine learning?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

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

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are some common challenges faced by entry level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Ontario?

The most popular types of Data Scientist Machine Learning jobs in Ontario are:

What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Ontario?

For Entry Level Data Scientist Machine Learning jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Ontario look for?

The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Ontario are:

What cities in Ontario are hiring for Entry Level Data Scientist Machine Learning jobs?

Cities in Ontario with the most Entry Level Data Scientist Machine Learning job openings:

Infographic showing various Entry Level Data Scientist Machine Learning job openings in Ontario as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Machine Learning Engineer

Toronto, ON • Hybrid

THOMSON REUTERS
Analytics and Business Intelligence Systems • 10K+ employees

Full-time

Retirement, PTO

Re-posted 3 days ago


Thomson Reuters rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

  • Thomson Reuters is seeking a Senior Machine Learning Engineer who will create the machine learning solutions development and technical implementation including configuration and integration to ensure it meets business, product, and recommender system expectations. They will also build scalable machine learning solutions that are reliable, resilient, and secure.

    About the Role:

    As a Senior Machine Learning Engineer, you will:

  • Be part of the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives.

  • Create machine learning solutions that are scalable, dependable, and secure.

  • Craft and sustain technical outputs such as design documentation and representative models.

  • Contribute to the establishment of machine learning best practices, technical standards, model designs, and quality control, including code reviews.

  • About You:

    You are a potential fit for the role of Senior Machine Learning Engineer if you possess:

  • At least 2 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency.

  • A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices.

  • A minimum of 2 years of experience with cloud technologies (AWS SageMaker, AWS is preferred), including services, networking, and security principles.

  • Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products.

  • Strong Python programming skills is required,

  • SQL, and data modeling expertise, with DBT considered a plus.

  • Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras, and other relevant ML libraries.

  • Experience in leading and supporting engineering teams.

  • Robust background in crafting data science and machine learning solutions.

  • A creative, resourceful, and effective problem-solving approach.

  • Provide expert oversight, guidance on implementation, and solutions for technical challenges.

  • Collaborate with an array of stakeholders, cross-functional and product teams, business units, technical specialists, and architects to grasp the project scope, requirements, solutions, data, and services.

  • Promote a team-focused culture that values information sharing and diverse viewpoints.

  • Cultivate an environment of continual enhancement, learning, innovation, and deployment.

#LI-SM2

Replacement: This position is open due to an existing vacancy to support our evolving business needs.

What's in it For You?

  • Hybrid Work Model: We've adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.
  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
  • Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
  • Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For Ontario, Canada, the base compensation range for this role is $100,000 CAD - $145,000 CAD. Base pay is positioned within the range based on several factors including an individual's knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com


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About Thomson Reuters

Sourced by ZipRecruiter

Industry

Analytics and business intelligence systems, finance and insurance, business management consulting, professional, scientific, and technical services and software development

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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