Job description

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.
If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!
Being a data scientist at Desjardins means having the drive to develop a passion for data models, machine learning concepts and quantitative fields (mathematics, finance, actuarial science, statistics, etc.).
We develop and train a wide variety of predictive and prescriptive models so we can do what's best for our members and clients.
Thanks to the models developed to measure the impact of interest rates and inflation, and even various analyses like spatial analyses, we can measure the natural disaster risks that our members and clients could face. Other initiatives focus on risk quantification and customer loyalty models.
The data scientist teams at Desjardins play a strategic role in the organization.
  • The projects mentioned above are just a few examples of some data science projects. We aim to consolidate this expertise within the organization and to make sure that data scientists are able to develop their professional careers.
As a data scientist at Desjardins, you'll:
  • Ensure the performance of detection, predictive or prescriptive models
  • Propose and develop complementary monitoring models to enhance coverage
  • Use very advanced and innovative statistical, machine learning and artificial intelligence methods to make full use of data, develop and optimize models and segmentations that meet business needs
  • Create the programming needed to prepare and mine data, and develop, evaluate, support, roll out and manage highly conceptually complex, innovative models

Desjardins offers a professional environment where passion, development and expertise intertwine, no matter where you are in your career path.
  • Bachelor's degree in IT, statistics, mathematics or a quantitative field
  • Experience in quantitative analysis and modelling
  • Experience in developing and implementing advanced analytics, predictive and prescriptive solutions
  • Strong Python or R programming skills
  • Strong knowledge of data science methodologies and their limits (Scikit-Learn, Pandas, Matplotlib, Numpy, Scipy, XgBoost, Statsmodels, Tidyverse, Shiny, etc.)
  • Ability to write complex SQL queries.

  • Experience with Apache Spark (Pyspark) and Databricks
  • Experience with deep learning tools (Keras, TensorFlow, PyTorch, etc.)
  • Experience working with cloud-based platforms, like Microsoft Azure
  • Knowledge of SAS.

Not ticking all these boxes? Not familiar with certain technological tools? Desjardins offers employees training and certification courses. For example, we have an in-house training program, and we provide reimbursement for online training, continuing studies and certain certification programs. Helping our employees build their knowledge is key for our organization!

In addition to professional training, we offer competitive benefits like:
  • Flexible group insurance plan
  • Employee Assistance Program, Sleep Health Program and virtual healthcare (telemedicine)
  • Defined benefit pension plan
  • Annual bonus
  • Preferred banking services
  • Discount on P&C insurance products
  • Work/life balance
  • Exciting and varied career opportunities
  • Exciting corporate life: social clubs, team activities, etc.
About Desjardins
Our history, our museum | Desjardins
Desjardins Group is the largest cooperative financial group in Canada, and one of the largest employers in the country. It offers a full range of financial products and services and is home to a wealth of expertise in property and casualty insurance, life and health insurance, wealth management, services for businesses of all sizes, securities brokerage, asset management, venture capital, and secure, leading-edge virtual access methods.

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