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Entry Level Data Science Jobs in Quebec (NOW HIRING)

trane technologies

Jr Software Engineer

Montreal, QC · On-site +1

Collaborate with senior developers, data scientists, and cross-functional teammates to deliver ... or entry-level professional experience. * Foundational proficiency in Python for backend ...

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Entry Level Data Science information

See Quebec salary details

$20K

$67.4K

$157.5K

How much do entry level data science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for entry level data science in Quebec is $67,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $80,000.00 per year, depending on experience, location, and employer.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to build experience.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience by working on personal projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning libraries can help demonstrate your abilities to employers.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such roles.
What are the most commonly searched types of Data Science jobs in Quebec? The most popular types of Data Science jobs in Quebec are:
What are popular job titles related to Entry Level Data Science jobs in Quebec? For Entry Level Data Science jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Quebec look for? The top searched job categories for Entry Level Data Science jobs in Quebec are:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Quebec as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $67,432 per year, or $32.4 per hour.
Jr Software Engineer

Jr Software Engineer

trane technologies

Montreal, QC • On-site, Remote

Full-time

Posted 26 days ago

Trane Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 286 frontline employees who took The Breakroom Quiz

109th of 518 rated manufacturers

Job description

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including TraneandThermo King, sustainability is not just how we do business-it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.

Learn about our benefits designed for you to Thrive at work and at home.

We boldly go.

Where is the work:

Our BrainBox AI Workplace Presence model dedicates specific in-office days each month to focus on relationships, learning and innovation.What's in it for you:

Join BrainBox AI's Algorithm Team in Montreal and help build technology that makes commercial buildings smarter, more efficient, and more sustainable. As a Junior Software Engineer, you will work alongside experienced software developers, data scientists, and machine learning engineers to support the systems that power BrainBox AI's autonomous HVAC optimization platform. This is an excellent opportunity to grow your software engineering skills in a collaborative, innovative, and mission-driven environment while contributing to solutions with real-world environmental impact.

What you will do:

  • Support the development and maintenance of backend services for the Algorithm Team's platform and tools.

  • Contribute to building APIs and microservices using Python and FastAPI.

  • Assist in implementing and improving data processing workflows using Kafka and related streaming technologies.

  • Help develop and maintain cloud-based applications and services deployed on AWS.

  • Support the design and maintenance of DynamoDB data models and other application data structures.

  • Work with Docker to containerize applications and support consistent deployment practices.

  • Collaborate with senior developers, data scientists, and cross-functional teammates to deliver technical solutions.

  • Participate in code reviews, testing, debugging, and troubleshooting activities.

  • Write clean, maintainable, and well-documented code following engineering best practices.

  • Contribute to Agile team ceremonies such as sprint planning, stand-ups, and retrospectives.

  • Learn and work with internal tools or frameworks such as Kiro as needed.

What you will bring:

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.

  • 0-3 years of software development experience, including internships, co-op terms, or entry-level professional experience.

  • Foundational proficiency in Python for backend development.

  • Exposure to API or microservice development, ideally with FastAPI or similar frameworks.

  • Basic understanding of cloud platforms such as AWS.

  • Familiarity with Docker and container-based development workflows.

  • Exposure to NoSQL databases such as DynamoDB or similar technologies.

  • Basic understanding of event-driven systems or messaging tools such as Kafka is an asset.

  • Strong problem-solving skills and willingness to learn in a fast-paced technical environment.

  • Ability to collaborate effectively with teammates and communicate clearly.

  • Eagerness to learn new tools, systems, and engineering practices.

Language Requirements
French-English bilingualism is required.
In addition to fluency in French, successful candidates must have full professional proficiency in English in order to support and collaborate with English-speaking clients, colleagues and/or various stakeholders.

Annual Base Salary Range or Hourly Base Pay Range:

$59,500.00 - $84,560.00

Compensation Type:

Salary

Incentive Eligible:

No

Sales Commission Eligible:

No

Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.

This posting is for an existing vacancy. The position is imminently available, and qualified candidates will be considered for immediate placement.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

Employment Type: FULL_TIME

What Trane Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Trane Technologies

Sourced by ZipRecruiter

At Trane Technologies and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what's possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

Industry

Industrial machinery manufacturing and machinery manufacturing

Company size

10,000+ Employees

Headquarters location

Davidson, NC, US

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