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Data Science New Grad Jobs in Quebec (NOW HIRING)

... new fields of expertise. Tools such as the Data Academy, Language Training, the Harvard Learning ... data science * Proficiency in retail credit products and risk management * Proficiency in ...

... new fields of expertise. Tools such as the Data Academy, Language Training, the Harvard Learning ... data science * Proficiency in retail credit products and risk management * Proficiency in ...

... new fields of expertise. Tools such as the Data Academy, Language Training, the Harvard Learning ... data science * Proficiency in retail credit products and risk management * Proficiency in ...

... new opportunities * Develop re-usable code and solutions to accelerate future goals and deliver results faster and more reliably * Support the evolution of Data science and AI products by influencing ...

A career as a Senior Data scientist on the risk Management team at National Bank means acting as a ... develop new fields of expertise. Tools such as the Data Academy, Language Training, Harvard ...

A career as a Senior Data scientist on the risk Management team at National Bank means acting as a ... develop new fields of expertise. Tools such as the Data Academy, Language Training, Harvard ...

A career as a Senior Data scientist on the risk Management team at National Bank means acting as a ... develop new fields of expertise. Tools such as the Data Academy, Language Training, Harvard ...

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Data Science New Grad information

What are Data Science New Grad roles?

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, and why are they important?

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:
Infographic showing various Data Science New Grad job openings in Quebec as of June 2026, with employment types broken down into 68% Full Time, and 32% Part Time. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Senior Data Scientist

National Bank

Montreal, QC • On-site, Remote

Full-time

Medical, Retirement

Posted 21 days ago


Job description

A career as a Senior Data Scientist in the modelling and risk strategies team It means using behavioural data to develop limit management decision-making strategies to support business line growth objectives as well as projects to develop risk modelling practises at the Bank.
Your job:
  • Develop statistical models and decision-making strategies in a business context for consumer loans. Strategies aim to make the best decision based on credit risk in order to maximise the profitability of the model.
  • Communicate and document the progress of your work in an agile way in project follow-up workshops with our partners in risk management and business lines
  • Draft the documents needed to approve strategies.
  • Implement strategies and coordinate with our it manager to implement strategies and carry out acceptance tests
  • Frequently assess the performance of the models/strategies implemented and present recommendations for better risk optimisation and loans in Champion/Challenger mode.
Your team:
Join a dynamic team of 12 advanced analytics specialists. We are responsible for all modelling activities and risk strategies for credit cards, retail financing and SMEs. We cover credit origination and life cycle activities. You will report to the Senior Manager - risk models and strategies.
Our goal is to offer you maximum flexibility in your work to promote your quality of life. This includes hybrid work in the office and remotely, working hours to reconcile work and personal life, and flexible leave at times that matter.
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:
  • Bachelor’s or master’s degree in a quantitative field, 2 to 3 years of experience in modelling, decision-making strategies or any other relevant role in data science
  • Proficiency in retail credit products and risk management
  • Proficiency in statistical/econometric and machine learning models
  • proficiency in SAS/SQL statistical programming tools (R or Python).
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!