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Data Science Training Jobs in Ontario (NOW HIRING)

Support Data Science and MLOps use cases, including tooling for data consistency, model training integration, and production deployment support. * Troubleshoot production issues across data pipelines ...

Manage ML lifecycle : Handle end-to-end model training, validation, hyperparameter tuning ... Industry Experience : 5-8+ years of professional experience in Data Science, Machine Learning, or ...

Education/Training - Bachelors in math, statistics, engineering, oranother STEM field or equivalent ... Business Experience - * 7+ years of hands-on data science experience delivering models to ...

Education/Training - Bachelors in math, statistics, engineering, oranother STEM field or equivalent ... Business Experience - * 7+ years of hands-on data science experience delivering models to ...

... data science training opportunities. The platform will also coordinate community growth nationally through community building and networking activities, and provide career support through a ...

Data Scientist II

Markham, ON

CA$81K - CA$115K/yr

In-depth knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent ... Through regular development conversations, training programs, and a competitive benefits plan, w ...

Platform Manager

Toronto, ON · On-site

CA$93K - CA$104K/yr

... data science training opportunities. The platform will also coordinate community growth nationally through community building and networking activities, and provide career support through a ...

New

Data Scientist

Cambridge, ON · On-site

CA$600/day

... Computer Science, Information system, Mathematic, Statistics, Machine Learning, Artificial ... and environmental training • Report any accidents/incidents to supervisor • Assist in ...

Senior, Data Scientist

Mississauga, ON · On-site

CA$91K - CA$126K/yr

Experience with machine learning workflows, including feature engineering, model training ... science solutions. * Strong communication and storytelling skills, with the ability to explain ...

Showing results 21-40

Data Science Training information

How do I get a job in data science training with no experience?

To get a job in data science training with no experience, focus on building foundational knowledge through online courses, certifications, and practical projects. Developing strong communication skills and familiarity with tools like Python, R, or SQL can also improve your chances, and gaining experience through internships or volunteering can help demonstrate your expertise to employers.

What is data science training?

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 training do you need to be a data scientist?

To become a data scientist, you typically need a strong foundation in mathematics, statistics, and programming, often gained through a bachelor's degree in a related field such as computer science, mathematics, or engineering. Many data scientists also pursue advanced degrees like a master's or Ph.D., and proficiency in tools such as Python, R, SQL, and machine learning frameworks is essential. Additionally, practical experience through projects, internships, or certifications can enhance job prospects.

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.

What are the key skills and qualifications needed to thrive in data science training, 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.

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:
Infographic showing various Data Science Training job openings in Ontario as of July 2026, with employment types broken down into 70% Full Time, 10% Part Time, 3% Temporary, and 17% Contract. Highlights an 97% In-person, and 3% Remote job distribution.

Lead Data Scientist - AI

Royal Bank of Canada

Toronto, ON • On-site

Full-time

Re-posted 28 days ago


Job description

Job Description

What is the opportunity?

Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management's global businesses. We are looking to hire a seasoned Data Scientist to lead our AI development efforts. The role will be responsible for applying modern AI and data science techniques to deliver digital innovations for Wealth Management Canada.

What will you do?

  • Provide technical leadership working with a team of data scientists and ML engineers to drive new and innovative AI solutions, ability to deliver without close supervision
  • Lead the requirements discovery, research, and development for a series of new Data and AI digital capabilities for Wealth Management. Participate in the end-to-end development of high-impact AI solutions, from ideas to design, and PoC to production deployment. Collaborate with ML Engineers and business stakeholders to deliver state of the art AI foundational capabilities, and customized agentic AI products to support field advisors across RBC Wealth Management offices
  • Conduct research for a wide variety of applied data science projects, with focus on building real-world applications that address operational business challenges
  • Become a technical subject matter expert, assist in the adoption of AI and enabling data driven process for the business, working closely with business teams to understand their needs, translate business use cases into practical technical problems, and iterate on solutions

What do you need to succeed?

Must Have

  • 6+ years of work experience developing high-impact machine learning solutions in a fast-paced environment. Proven ability to apply data science and statistical techniques to solve real world business problems. Proficient in building and maintaining models, model tunings, and model monitoring
  • Advanced proficiency in SQL and Python programming languages, hands-on programming experience developing modular, robust, and scalable pipelines in Python
  • Experienced with AI/ML infrastructure and model deployment for Gen AI applications in production environments and supporting enterprise-scale use cases
  • Strong foundation in ML and AI basics, knowledge of Inferencing, fine-tuning, model architectures, Embeddings. Hands-on experience implementing solutions using modern ML and Deep Learning frameworks, such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face Transformers
  • Familiar with software engineering industry best practices, including coding standards, testing methods, code reviews, and version control

Nice to Have

  • Master's or PhD Degree in computer science, engineering or related technical fields
  • Hands-on experiences prototyping Gen AI applications, including working with foundational LLMs and transformer models, agentic frameworks, vector databases, prompt engineering, designing and refining modular RAG to optimize LLM outputs
  • Experience using AWS Sagemaker, S3, Snowflake, Airflow, Hadoop, PySpark
  • Familiar with JIRA, Confluence, Agile/Scrum development methodology
  • Ability to read and write in French is a plus

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • A world-class training program in financial services.
  • Opportunities to do challenging work
  • Opportunities to take on progressively greater accountabilities
  • Opportunities to building close relationships with clients
  • Access to a variety of job opportunities across business and geographies.

#LI-Post

#LI-PK

#TECHPJ

Job Skills

Artificial Intelligence (AI), Data Engineering, Data Science, Generative AI, Machine Learning (ML), Model Deployment, Natural Language Processing (NLP), Python (Programming Language), Structured Query Language (SQL)

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-06-15

Application Deadline:

2026-08-07

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Employment Type: FULL_TIME