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Data Junior Jobs in Quebec (NOW HIRING)

Own data science initiatives end-to-end from problem framing through production deployment and ... Mentor junior team members and promote best practices * Foster a culture of experimentation, rigor ...

We design data-based solutions to meet our clients' specific needs, always conceived with a ... Strong teaching orientation; demonstrated ability to mentor more junior members of the team Why you ...

Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL and large data sets * Hands-on experience coding in Python is required * Experience ...

Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL and large data sets * Hands-on experience coding in Python is required * Experience ...

Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL and large data sets * Hands-on experience coding in Python is required * Experience ...

Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL and large data sets * Hands-on experience coding in Python is required * Experience ...

We are seeking a passionate and highly qualified Junior Lawyer to join our firm. The ideal ... If you would like more information about how your data is processed, please contact us. apply for ...

We're looking for a stellar Junior Technical Product Manager to help build and manage the ... A data-driven decision-maker who marries sound business judgment with strong analytical thinking

Showing results 21-40

Data Junior information

What is a data junior?

Data Juniors are entry-level professionals who assist in collecting, cleaning, and analyzing data to support business decision-making. They typically work under the supervision of senior data analysts or data scientists and are responsible for tasks like data entry, basic data analysis, and generating simple reports. This role is ideal for those who are new to the data field and looking to gain practical experience while developing technical and analytical skills. Data Juniors often use tools such as Excel, SQL, and basic data visualization software. As they gain experience, they may progress to more advanced data roles within an organization.

What are some common challenges faced by data juniors when working with large datasets, and how can they overcome them?

Data Juniors often encounter challenges such as data quality issues, inconsistencies, and managing large volumes of information. These can be overwhelming at first, but using tools like SQL for data cleaning, and learning best practices in data validation, can help mitigate these issues. Collaborating closely with senior analysts and engineers is also key, as they can provide guidance and review your work to ensure accuracy. Staying organized and asking questions early on will support your development and help you handle more complex tasks over time.

What is the difference between Data Junior vs Data Analyst?

AspectData JuniorData Analyst
Required CredentialsOften an entry-level degree in data-related fields, certifications like Excel or basic SQLTypically a degree in data science, statistics, or related fields; may hold certifications like SQL, Python, or Tableau
Work EnvironmentSupportive, learning-focused roles in teams, often under supervisionIndependent or team-based roles analyzing data, creating reports, and providing insights
Employer & Industry UsageUsed across industries as an entry-level position for data support rolesCommonly employed in finance, marketing, tech, and healthcare for data analysis tasks

In summary, Data Juniors are entry-level roles focused on learning and supporting data tasks, while Data Analysts have more experience and responsibilities in analyzing data and generating insights. The roles often overlap in skills and tools used, but Data Analysts typically handle more complex analysis and decision-making.

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

To thrive as a Data Junior, you need a foundational understanding of data analysis, statistics, and proficiency with spreadsheet software, often supported by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and basic data visualization platforms such as Tableau or Power BI is typical. Attention to detail, problem-solving skills, and effective communication help you accurately interpret data and present findings clearly. These competencies are crucial for ensuring data accuracy, supporting decision-making, and contributing to team projects in a data-driven environment.

What are the most commonly searched types of Data jobs in Quebec?

The most popular types of Data jobs in Quebec are:

What cities in Quebec are hiring for Data Junior jobs?

Cities in Quebec with the most Data Junior job openings:

Infographic showing various Data Junior job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Full-time

Re-posted 6 days ago


Job description

Compensation: $150,000 - 170,000 plus up to $20,000 bonus, capped at 150%

Job Summary

Giesecke+Devrient is a globally leading SecurityTech company. We are seeking a highly analytical and execution-focused Senior Data Scientist to join G+D's new AI Hub.

The ideal candidate will combine strong expertise in machine learning, statistical modeling, experimentation, and business problem solving with the ability to translate complex enterprise challenges into scalable AI solutions that deliver measurable impact.

The role is designed to deliver immediate value through operational efficiencies and intelligent decision support, while simultaneously contributing to the development of differentiated AI capabilities and products within the SecurityTech domain.

This role contributes directly to G+D's enterprise-wide AI transformation and strategic value targets.

As part of G+D's global AI transformation, the Senior Data Scientist will collaborate closely with AI Engineers, ML Engineers, Data Engineers, product and project managers, and executive stakeholders to unlock enterprise-wide value through data science and machine learning. This role will function within a global matrix organization and report into the AI Hub leadership.

 Primary Responsibilities
  • Own data science initiatives end-to-end from problem framing through production deployment and performance monitoring

Data Science & Machine Learning Development

  • Design, develop, and validate machine learning models, predictive models, and advanced analytical solutions
  • Perform exploratory data analysis, feature engineering, and model performance evaluation
  • Develop statistical, forecasting, classification, anomaly detection, optimization, and causal inference models
  • Establish experimentation and A/B testing frameworks to measure business impact

AI Product Development & Delivery

  • Support the development and deployment of AI solutions across internal workflows and customer-facing products
  • Work closely with engineering teams to productionize models and analytical pipelines
  • Ensure solutions are scalable, reusable, and aligned with enterprise standards
  • Contribute to the integration of models into enterprise data and AI platforms

Governance, Ethics & Compliance

  • Ensure responsible AI practices including explainability, bias checks, traceability, and validation
  • Support model monitoring, drift detection, and lifecycle governance
  • Ensure compliance with global data privacy, security, and regulatory standards
  • Contribute to documentation and auditability standards for production AI systems

Stakeholder Engagement

  • Partner with business unit leaders and functional teams to identify and prioritize high-value use cases
  • Translate business challenges into measurable analytical solutions
  • Present insights, model outputs, and recommendations to technical and non-technical stakeholders
  • Influence the direction of AI and data science initiatives through technical leadership and business partnership

Team Building & Leadership

  • Contribute to building a high-performing AI and Data Science capability within the AI Hub
  • Mentor junior team members and promote best practices
  • Foster a culture of experimentation, rigor, and collaboration
  • Promote knowledge sharing across global and local teams

Qualifications, Experience and Educational Requirements

Work Experience: 

  • Five (5)+ years of experience in Data Science, Machine Learning, or Advanced Analytics, with proven experience delivering enterprise-scale AI or ML initiatives

Skills and Competencies:

  • Strong expertise in machine learning, statistical inference, predictive modeling, experimentation / A/B testing, causal inference, forecasting, optimization, and anomaly detection
  • Hands-on experience with Python, pandas, NumPy, scikit-learn, and SQL
  • Experience with one or more of: PyTorch, TensorFlow, XGBoost, LightGBM, time series forecasting frameworks
  • Strong understanding of cloud-native data and AI platforms
  • Experience working in regulated industries is a plus
  • French speaking is an asset


Education:

  • PhD or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field preferred

Additional Information

*This job description is not intended to be all inclusive. The candidate hired will also perform other reasonable related business duties as assigned by the supervisor. The company reserves the right to revise or change job duties as needed. This job description does not constitute a written or implied contract of employment.


By applying to this position, you are confirming you possess either a Canadian citizenship, permanent resident status or valid work permit.


Please note: Reference Checks and Credit, Criminal Background Checks will be administered on suitably qualified candidates. Your application will be kept on file for up to two years 

$$ Giesecke+Devrient ePayments Canada, Inc. is an equal opportunity employer and values diversity in its workforce, encouraging applications from all qualified individuals. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you would like to contact us, please contact Human Resources at careers.gdsci@gi-de.com 

 $$  $$ $$ $$  $$ https://career5.successfactors.eu/career?company=gieseckede&career_job_req_id=27434&career_ns=job_application