ZipRecruiter

Log In

1

Intern Data Science Training Jobs in Toronto, ON

Flinks

Senior Data Scientist

Toronto, ON · Remote

... training pipeline, deployment to a live endpoint and the model-quality monitoring that keeps it accurate in production. This is a hands-on, engineering-heavy data-science role: you build and ship ...

Hitachi

ALM Scripting & Reporting Intern

Toronto, ON · Hybrid

CA$23 - CA$30/hr

Job Title: Data and Business Intelligence Analyst, Intern Rail Pass Type: Internship/Co-op ... Required Skills and Experience The ideal candidate will be: * 4th or 5th year in a Computer Science ...

hireVouch

Data Scientist/Data Engineer

Toronto, ON

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 ...

McKesson

Senior/Lead Data Scientist

Mississauga, ON · On-site +1

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 ...

McKesson

Senior/Lead Data Scientist

Mississauga, ON · On-site +1

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 ...

OICR

Platform Manager

Toronto, ON · On-site

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

Td

Data Scientist II

Markham, ON · On-site

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 ...

OICR

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

previous pagenext page

Showing results 21-40

All JobsIntern Data Science Training JobsIntern Data Science Training Jobs in Toronto, ON

Intern Data Science Training information

What are the most commonly searched types of Data Science Training jobs in Toronto, ON? The most popular types of Data Science Training jobs in Toronto, ON are:
Intern Data Science Training jobs near you

Lead Data Scientist- IBM Watson

Fusemachines

Toronto, ON • Remote

Contractor

Re-posted 2 days ago

Job description

About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail,  manufacturing, and government.
Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
Type: Full-time, Remote

About the Role

A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams.

Responsibilities
  • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work.
  • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions.
  • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue.
  • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems.
  • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner.
  • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems.
  • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability.
 Requirements for the Role
  • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field.
  • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI.
  • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments.
  • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX
  • Agentic AI Tools: Experience with LangGraph, Google ADK or similar.
  • Agentic Architectures : Experience with advanced RAG & multi-agent systems.
  • Programming: Strong programming skills in languages such as Python, R, C++, and SQL.
  • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow.
  • Leadership: Experience leading data science teams and managing multiple projects simultaneously.
Soft Skills: Strong problem-solving skills, attention to detail, and excellent communication skills (both written and verbal).
Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

Powered by JazzHR

bqfqnQKDPG