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Data Science New Grad Jobs in Quebec (NOW HIRING)

Jestais

As part of our strategic investment in AI, Jesta is building a new generation of intelligent ... PhD in Artificial Intelligence, Data Science, Computer Science, or a related quantitative field ...

Jesta I.S.

As part of our strategic investment in AI, Jesta is building a new generation of intelligent ... Qualifications EducationPhD in Artificial Intelligence, Data Science, Computer Science, or a ...

Bentley Systems

Senior Applied AI Scientist

Quebec, QC · On-site

... new products based on AI, and collaborate with an established team of Data Scientists. By virtue of its unique market positioning, our team targets a wide variety of AI-related research fields ...

Lassonde

Vice President, Data & Analytics

Quebec, QC · On-site

$140 - $200/hr

Lead the change agenda that supports adoption of new data practices, tools, and standards. * Drive ... Bachelor's degree in relevant discipline (computer science, engineering, business administration ...

ALS

Junior Machine Learning Engineer

Montreal, QC

CA$80K - CA$95K/yr

You will work with data scientists, engineers, product teams, and business stakeholders to help ... At ALS, you'll be supported to develop new skills and reach your full potential. We invest in our ...

New

2K

Senior Data Developer

Montreal, QC

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers ... new portfolio-tracking tools. Implement automated data-validation frameworks to ensure absolute ...

Desjardins Group

Data internship, Fall 2026

Levis, QC · Hybrid

Help monitor new advances in AI and support their adoption by Desjardins Group 🤖Machine learning operations (MLOPS) * Work alongside data scientists and IT experts on a multidisciplinary squad to ...

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Data Science New Grad information

What is a data science new grad?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What types of projects can a data science new grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are the key skills and qualifications needed to thrive as a data science new grad?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.
What are popular job titles related to Data Science New Grad jobs in Quebec? For Data Science New Grad jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Science New Grad jobs in Quebec look for? The top searched job categories for Data Science New Grad jobs in Quebec are:
What cities in Quebec are hiring for Data Science New Grad jobs? Cities in Quebec with the most Data Science New Grad job openings:
Data Science New Grad jobs near you
Infographic showing various Data Science New Grad job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Scientist Model Validation

National Bank

Longueuil, QC • Hybrid

Full-time

Medical, Retirement

Posted yesterday

New

Job description

A career as a Senior Data Scientist, Validating models in the Risk Management Models team at National Bank means acting as a specialist who ensures the robustness, reliability and regulatory compliance of credit risk models. This position allows you to have a concrete impact on the financial strength of the organisation thanks to your expertise in statistical modelling, independent validation and regulatory frameworks.

Your role is key : You help strengthen the Bank's regulatory credibility and support rigourous governance of the models used for regulatory capital, ICAAP, IFRS 9 and stress testing exercises.


Your job

  • Assess the conceptual soundness of credit risk models, including mathematical formulation, statistical rigour, assumptions, limitations and alignment with regulatory requirements and internal standards
  • Analyze the quality, relevance and integrity of the data used in the models, including key assumptions, exclusions, outliers and documentation quality
  • Test the performance and accuracy of models using robustness and stability analyses, sensitivity tests, benchmarks and impact analyses
  • Identify model uncertainties and limitations, assess the overall level of model risk and ensure that issues are understood, documented and adequately escalated in the governance framework
  • Draft clear, rigourous and well-structured validation reports highlighting findings, conclusions and impacts on the use of models and risk management
  • Support the team during regulatory reviews, internal and external audits by providing solid technical expertise and high-quality documentation.
  • Maintain collaborative relationships and act as an expert·with key stakeholders (modelling teams, model owners, model risk management and senior management) by providing independent judgement, expert advice·and sound recommendations.
  • Recommending and implementing improvements to the validation framework and practises in order to meet internal needs and align with regulatory requirements and industry practises.


Your team

Within the Risk Management sector, you are part of a team specialised in credit risk model validation and you report to the Senior Manager - Model Validation. The team stands out for its in-depth technical expertise, independence of judgement and ability to influence decisions in demanding regulatory contexts. We work diligently, collaboratively and proactively to ensure sound and compliant governance of models across the Bank.

Our goal is to offer you maximum flexibility to promote your quality of life, thanks to a hybrid work environment and flexible work schedules.

The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time.


Prerequisites

  • A master’s or bachelor’s degree in statistics, actuarial science, finance, economics, mathematics or a related quantitative field
  • Approximately five years or more of relevant experience in a financial institution, credit risk modelling and/or model validation
  • Advanced expertise in statistical methods and credit risk modelling, including key parameters such as probability of default, loss given default and exposure at default (e.g., PD, LGD, EAD).)
  • Solid knowledge of ICAAP and IFRS 9 frameworks and their governance and modelling implications
  • Master the Basel II and III regulatory framework and its application to credit risk models and capital requirements.
  • Excellent knowledge of analytical and programming tools such as SAS Viya, SAS Enterprise Guide, SQL Python, MATLAB, R or equivalent.
Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:
* Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and family assistance program * Preferential banking services * Involvement in community initiatives * Telemedicine service * Virtual sleep clinic
We have an offer that keeps up with trends as well as your needs and those of your family.
Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.
Making a bold move in a people-first environment We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.
We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?
Join us!

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