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Data Science Training Jobs in Ontario (NOW HIRING)

Nokia

Data Science Co-op/Intern

Kanata, ON · Hybrid

Data science training or experience with big data analysis and visualization. * Interest and experience with Machine Learning and AI. * Experience with data ingestion into a tool such as Splunk or ...

CookUnity

Director, Data Science/ML

Toronto, ON

Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration * Partner with the Growth Data Science & Analytics ...

CookUnity

Director, Data Science/ML

Toronto, ON · On-site

Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration * Partner with the Growth Data Science & Analytics ...

Numeris

Senior Manager, Data Science

Toronto, ON · On-site

CA$120K - CA$150K/yr

The Senior Manager, Data Science is responsible for the design and validation of advanced analytics ... Leadership Training offerings for new and emerging leaders. * Culture of great teams, coworkers and ...

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

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 ...

Genentech

Senior Data Scientist

Mississauga, ON · On-site

CA$156K - CA$290K/yr

Design and deliver training in statistics and data science to upskill the organisation. * Stay current with emerging methods, regulatory guidance, and industry trends in statistics, data science, and ...

Infoya

CA$100K - CA$115K/yr

Ph.D. or Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative ... Experience building, training, and deploying models using Vertex AI, BigQuery, and Google Cloud ...

Bell Canada

Senior Data Scientist II

Toronto, ON · Hybrid

Lead the entire lifecycle of data science projects, from initial conception and design to ... Exceptional proficiency in developing, training, and deploying ML models in production environments.

Braze

Data Scientist, AI Deployment

Toronto, ON · Hybrid

CA$125K - CA$188K/yr

... training, and activation, so that model decisions are delivered to personalize experiences for ... Drive customer success by providing ongoing technical guidance that ensures data science ...

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Data Science Training information

What is a Data Science Training job?

A Data Science Training job involves teaching and guiding individuals or teams in data science concepts, tools, and techniques. Trainers design curricula, conduct workshops, and provide hands-on experience with programming languages like Python or R, machine learning, and data visualization. They may work for educational institutions, corporate training programs, or independently to upskill professionals. The goal is to equip learners with the skills needed to analyze data, build models, and make data-driven decisions.

What are the typical responsibilities of a professional in Data Science Training?

Individuals in Data Science Training roles are responsible for developing, organizing, and delivering curriculum on topics such as data analysis, machine learning, and data visualization. They often lead workshops, create interactive tutorials, and provide one-on-one guidance to learners from diverse backgrounds. Collaboration with data science teams and subject matter experts to ensure training content is current and industry-relevant is common. Additionally, professionals assess learner progress and adapt materials to continuously improve the educational experience. This role is ideal for those passionate about teaching and staying at the forefront of new data science advancements.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many professionals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

What are the key skills and qualifications needed to thrive in the Data Science Training position, and why are they important?

To excel in Data Science Training roles, you need a solid foundation in data analysis, statistical modeling, and expertise with programming languages like Python or R, often supported by a degree in data science or a related field. Familiarity with tools such as Jupyter Notebooks, SQL, machine learning platforms, and certifications like Google Data Analytics or Microsoft Certified: Data Scientist Associate are highly valued. Excellent communication, patience, and instructional skills help convey complex topics clearly and foster a collaborative learning environment. These combined skills are essential for effectively designing and delivering training that empowers learners to succeed in the rapidly evolving field of data science.

Can I get a data scientist job with no experience?

Entering a data scientist role typically requires relevant skills in programming, statistics, and data analysis, often gained through coursework, projects, or certifications. While some entry-level positions may be available to candidates with minimal experience, most employers prefer candidates with practical experience or a strong portfolio demonstrating their abilities.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

Can I get a job after learning data science?

Data science is a growing field with many job opportunities for those who acquire relevant skills such as programming, statistics, and data analysis tools like Python or R. Completing a data science training program can improve your chances of securing roles such as data analyst or data scientist, but employment also depends on experience, portfolio, and industry demand.
What are the most commonly searched types of Data Science Training jobs in Ontario? The most popular types of Data Science Training jobs in Ontario are:
What are popular job titles related to Data Science Training jobs in Ontario? For Data Science Training jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Science Training jobs in Ontario look for? The top searched job categories for Data Science Training jobs in Ontario are:
What cities in Ontario are hiring for Data Science Training jobs? Cities in Ontario with the most Data Science Training job openings:
Data Science Training jobs near you
Infographic showing various Data Science Training job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.
Data Science Co-op/Intern

Data Science Co-op/Intern

Nokia

Kanata, ON • Hybrid

Full-time

Posted 12 days ago

Nokia rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

31st of 96 rated telecommunications companies

Job description

Number of Position(s): 3
Duration: 4 Months 
Date: September 8 to December 18, 2026
Location: Hybrid in Ottawa

  • Currently a candidate for a bachelor's degree or diploma in Computer Science, Electrical Engineering, or a related field with an accredited school in Canada.
  • Interest in software development, ideally having worked with one or more: PHP, Javascript, Python, MySQL, VueJS, ElectronJS, Selenium, VMware, AWS.
  • Creative and motivated self-learner ready for a challenge to advance your career to the next level.


It would be nice if you also had:

  • Data science training or experience with big data analysis and visualization.
  • Interest and experience with Machine Learning and AI.
  • Experience with data ingestion into a tool such as Splunk or Elastic.
  • Experience with Git and/or Mercurial.
  • Proficient with Visual Studio and/or Eclipse.

Working within a multi-site Agile Test Automation team, this candidate will design and develop automation infrastructure and tool enhancements to maximize the effectiveness and productivity of the feature teams and test teams in their automated test development, execution, and analysis activities.
As part of the team, you will:

  • Work on the development of big data analysis and visualization use cases within Splunk, which may include the application of AI/ML.
  • Develop web-based database applications using technologies such as PhP, Javascript, VueJS, Python & MySQL.
  • Develop Linux and Windows Applications using Python, VueJS, and ElectronJS.
  • Develop Object Oriented library using Python and Selenium to interface with the Optical equipment under test.

What Nokia employees say

Hours and flexibility

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