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Trainee Data Science Jobs in Toronto, ON (NOW HIRING)

Metso Outotec

AI Solution Engineer

Burlington, ON

... Data Science, Software Engineering, or a related field. We warmly encourage applications from ... Strong software engineering fundamentals gained through studies, thesis work, internships, trainee ...

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Trainee Data Science information

What does a trainee data scientist do?

A Trainee Data Scientist assists in gathering, cleaning, and analyzing data to support business decisions. They work under the guidance of senior data scientists to learn about data modeling, statistical analysis, and using tools such as Python, R, or SQL. Their responsibilities often include preparing reports, visualizing data, and contributing to the development of predictive models. The goal is to build foundational skills and gain hands-on experience in the field of data science.

What are some common challenges faced by trainee data scientists during their initial projects, and how can they overcome them?

Trainee Data Scientists often encounter challenges such as working with messy or incomplete datasets, understanding complex business problems, and selecting the appropriate modeling techniques. Collaborating closely with experienced team members and seeking feedback can help trainees navigate these obstacles. Additionally, actively participating in code reviews and knowledge-sharing sessions accelerates learning and builds confidence in tackling real-world data science tasks.

What are the key skills and qualifications needed to thrive as a trainee data scientist, and why are they important?

To thrive as a Trainee Data Scientist, you need a foundational understanding of statistics, programming (often Python or R), and data analysis, usually supported by a relevant degree or coursework in mathematics, computer science, or engineering. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and basic database systems is often expected. Strong problem-solving skills, curiosity, and effective communication help you interpret data insights and collaborate with team members. These skills are crucial for extracting actionable insights from data and contributing meaningfully to data-driven projects.

What is the difference between Trainee Data Science vs Data Analyst?

AspectTrainee Data ScienceData Analyst
Required CredentialsBasic degree in related field, entry-level certificationsDegree in statistics, mathematics, or related field, often with certifications
Work EnvironmentInternship or entry-level role in tech or finance companiesBusiness, finance, marketing departments across industries
Employer & Industry UsageStart of data career path, training-focused rolesData-driven decision making, reporting, and analysis

In summary, a Trainee Data Science role is an entry-level position focused on learning and developing skills in data science, often as part of an internship or training program. A Data Analyst typically has more experience in analyzing data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ mainly in experience level and scope of responsibilities.

Can you get into trainee data science with no experience?

Trainee data science roles often do not require prior experience and are designed for beginners. Candidates typically need foundational skills in programming, statistics, or data analysis, which can be gained through online courses or self-study. Demonstrating a willingness to learn and basic knowledge of tools like Python or Excel can improve chances of entry-level hiring.

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

To secure a trainee data science position with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, certifications, or projects can demonstrate your abilities to employers and improve your chances of entry-level roles.

What are the most commonly searched types of Data Science jobs in Toronto, ON?

The most popular types of Data Science jobs in Toronto, ON are:

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

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

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

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

What cities near Toronto, ON are hiring for Trainee Data Science jobs?

Cities near Toronto, ON with the most Trainee Data Science job openings:

Trainee Data Science jobs near you
Infographic showing various Trainee Data Science job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

AI Solution Engineer

Metso Outotec

Burlington, ON

Full-time

Posted 5 days ago

Job description

Our world depends on rocks, minerals, metals and other raw materials - the building blocks of modern society. As an industry leader, Metso helps transform these essential materials to enable sustainable modern life.

Our solutions and services support everything from renewable energy and electrification to the infrastructure and digital economy shaping our future. Together, we help our customers meet growing demand while driving the industry toward a more sustainable use of the earth's natural resources.

Join nearly 18,000 Metsonites worldwide, each bringing unique expertise and experience to positive change. At Metso, you're supported by a growth culture built on safety, wellbeing, inclusion and collaboration.

This is your opportunity to make an impact and rise above the possible.

Job posting end date: 09/06/2026

Introduction

We are looking for anAI Solution Engineerto join ourAI Enablement teamwithin theBusiness Growth function. This is an exciting opportunity to start or accelerate your career in AI at the heart of Metso's enterprise-wide AI transformation. Whether you are a recent graduate, close to completing your studies, or already building your early career, you will have the opportunity to apply your skills to real business challenges and help create AI-enabled solutions with lasting impact. In this role, you will turn validated AI opportunities into fast, responsible, and scalable solutions that help Metso put AI to work across the company. You will report to theHead of AI Enablement. 

This role is based in Espoo or Tampere, Finland,with hybrid and flexible working options availabl 

A growing AI Enablement team

You will join a growing team of AI professionals focused on helping Metso put AI into practice and scale what works. The team plays a key role in Metso's AI-accelerated transformation, giving you a front-row seat to shape how AI creates real business impact across a global industrial company. For early-career talent, this is a unique chance to learn from experienced colleagues, build a strong professional foundation, and shape a career path in one of the most important technology areas for the future. 

 
How we work 

Metso uses a distributed AI model, so you will collaborate closely with central functions, business teams, and IT. You will also be part of a wider network of developers, data professionals, and AI practitioners working together to deliver responsible and scalable AI solutions.

What you will do 

  • Build AI-enabled solutions for validated business opportunities, moving from problem definition to working solution with clear business value, adoption path, and measurable outcomes. 

  • Work directly with business owners, central functions, IT, data teams, and external partners to translate business challenges into concrete AI solution designs and implementation plans. 

  • Develop practical solution components such as data pipelines, integrations, prompts, workflows, user interfaces, APIs, and automation logic needed to make AI solutions usable in real business processes. 

  • Design for scale from the start by creating reusable patterns, documentation, and components that can be adopted across teams, business areas, and future AI use cases. 

  • Focus on sustainable, scalable solutions rather than one-off experiments, ensuring that prototypes have a clear route to operation, ownership, maintainability, and responsible AI use. 

  • Contribute to Metso's AI delivery model by capturing learnings, improving ways of working, and helping build a connected community of AI practitioners across the company. 

What you'll bring 

  • 0-5 years relevant experience in a related field or a degree completed or nearing completion in Computer Science, Data Science, Software Engineering, or a related field. We warmly encourage applications from recent graduates and students close to graduation.

  • Strong software engineering fundamentals gained through studies, thesis work, internships, trainee roles, GitHub projects, hackathons, open-source contributions, or personal projects. 

  • Experience with, coursework in, or genuine curiosity about modern AI, such as large language models, prompting, retrieval approaches, automation, and how cloud platforms support enterprise AI solutions. 

  • A builder's mindset: pragmatic, curious, outcome-focused, and motivated to learn by solving real problems with colleagues from business, functions, and technology teams. 

  • Eagerness to learn quickly, reason about trade-offs, and take initiative to move things forward. 

  • Strong ability to communicate with diverse internal and external stakeholders. 

  • Exposure to cloud-native development, APIs, Git, or rapid-prototyping frameworks. Our technology stack will evolve, so we value learning ability over experience with specific tools. 

  • You do not need to know every tool or have years of industry experience. We value learning agility, ownership, collaboration, and the ambition to grow into an AI professional who can make a real difference.

What's in it for you 

At Metso, you will combine meaningful work with opportunities to learn, grow, and make an impact in a supportive and inclusive environment. You'll be part of a global team where collaboration, wellbeing, and continuous learning are part of everyday work. This role gives you a strong platform to shape your career in AI while contributing to solutions that matter for a global industrial company. 
 

You will gain hands-on experience at the intersection of AI, software engineering, industrial business processes, and enterprise transformation, while receiving opportunities to learn from experienced colleagues and build Metso's long-term capability for AI-enabled solutions. 

We support your growth and wellbeing by offering: 

  • Purpose-led work: Contribute to enabling sustainable modern life and transforming the industry. 

  • Wellbeing: Access to wellbeing programs, occupational healthcare, and supportive services. 

  • Rewards: Competitive compensation and performance-based incentives. 

  • Flexibility: Hybrid working options to support balance and productivity. 

  • Growth: Learning pathways, mentoring, internal mobility, and global collaboration opportunities. 

  • Culture: A caring, collaborative, and inclusive workplace committed to helping you thrive. 

Get in touch

Want to rise above the possible with us? Click "Apply now" to submit your application. 

We review applications on an ongoing basis and may begin interviews before the application deadline. 

We recognize that highly capable candidates may hesitate to apply unless they meet every listed requirement. If this role excites you, we encourage you to apply even if your experience does not align perfectly with every qualification. This is especially true if you are a recent graduate, close to completing your studies, or looking for the right opportunity to shape your career in AI. You may be exactly the right candidate for the role. 

Metso is committed to pay equity and transparent reward practices globally. Compensation information is shared in line with local legislation and applicable recruitment practices.
 

How to join - Working at Metso - About Metso - Diversity and Inclusion - Meet our people

Metso is an equal opportunity employer committed to fostering an inclusive and diverse workforce culture. All qualified applicants will receive consideration for employment without regard to race, religion, color, nationality, gender, gender identity, sexual orientation, age, status as a protected veteran or status as a qualified individual with a disability.

Metso is a frontrunner in sustainable technologies, end-to-end solutions and services for the aggregates, minerals processing and metals refining industries globally. We improve our customers' energy and water efficiency, increase their productivity, and reduce environmental risks with our product and service expertise. We are the partner for positive change.

Metso is headquartered in Espoo, Finland. At the end of 2025 Metso had close to 18,000 employees in around 50 countries, and sales in 2025 were about EUR 5.3 billion. Metso is listed on the Nasdaq Helsinki. 

metso.com

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