Data Scientist

  • 34683
  • Non-Life - Data Science
  • |
  • Quebec, Canada
  • |
  • Feb 5, 2019
  • |
  • Billingual (English & French)
Software Developer
  • Apply data science methods to solve problems in practical and scalable insurance product development across various insurance domains such as claims, underwriting etc. This will involve understanding product capabilities, and translating them into product features that address those needs.
  • Propose appropriate models/techniques and to train models yourself. Where useful, you will not hesitate to employ statistical or classical machine learning methods as well as use modern techniques such as deep learning.
  • Embrace the fact that the value of your work is ultimately reflected in the impact it has on the end-customers using our products and to find ways of measuring that impact as an integral part of your mission.
  • Working with large, often noisy datasets, and making them ready for production machine learning systems.
  • Performing preliminary analysis and knowledge discovery on data provided by our customers or partners, and presenting the results in an accessible fashion.
  • Providing suggestions on how to optimize computations on large datasets.
  • Understanding the business imperatives of the insurance space and helping design and build products that will help shape the future of insurance.
  • Collaborating in a cross-disciplinary team that will produce state-of-the-art software.
  • Continuously learning the best practices for developing high-quality production code in a shifting technological landscape.
  • Embracing modern devops principles to development and working in a setting where code is expected to be shared and peer-reviewed.
  • Passion and excitement about making a difference for insurance customers.
  • A getting-things-done mindset with a desire to turn knowledge into products people will rely on.
  • At least 3 years of industrial R&D experience, ideally in an insurance setting.
  • A university degree in related field or an acceptable combination of education, training and experience.
  • Experience and mastery of scientific programming languages, libraries and tools relevant to your field, for example: scikit-learn, pandas DataFrame, NumPy, R, RapidMiner, Tableau, D3.js, etc.
  • Experience with at least one of the following programming languages, preferably for the development of production code: Python, R, C#, Scala, Javascript, Go.
  • An understanding that well-organized data pipelines are the core of any system.
  • Broad knowledge of statistical and Machine Learning techniques.
  • A history of shipping high-quality code.
  • Experience in helping develop/deploy technology products.
  • Experience working in a diverse team.
  • Excellent written and oral communication skills.