Sr Data Scientist - Business Intelligence

Co-operatorsMontreal, QC
CA$83,774 - CA$133,700Hybrid

About The Position

We are a leading Canadian financial services co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients, and our communities. Our Business Intelligence team empowers decision making using leading edge science and analytics. We strive to deliver a single version of truth, by providing our business partners with access to comprehensive data and valuable insights to help our organization achieve operational excellence. As a Senior Data Scientist in Business Intelligence, you will contribute on various initiatives while also supporting the team through coaching on clever use of data and advanced analytics. You will be responsible for providing significant business value through the creation; maintenance; implementation of analytical, predictive and machine learning models. As part of the Business Intelligence team, you will focus on enabling new technologies and analytical tools within the organization, including generative AI.

Requirements

  • 6-9 years of experience in Data Science, Artificial Intelligence and Business Intelligence.
  • A Bachelor’s Degree in Computer Science, Engineering or a related technical field.
  • Strong knowledge and understanding of: Data analysis, Programing/tools, Modelling techniques, Research, Architecture/design.
  • Experience solving complex problems by taking a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information and can provide clear recommendations for improvement.
  • Proficiency in following technologies is required: Python, Databricks and Cloud environments.
  • Proficiency in English is required.

Nice To Haves

  • Having experience in the P&C insurance industry is an asset.
  • Having completed Graduate studies in Computer Science, Engineering or a related technical field would be also seen as an asset.
  • Proficiency in the following technologies is an asset: R, SQL and data engineering tools.
  • French is an asset.

Responsibilities

  • Coaching peers on the use of a scientific methodology in all projects, tasks, and interactions.
  • Defining the required models/technique to solve business problems and support other thorough the execution.
  • Having full proficiency in data science with a proven track record in programming, using various statistical techniques, predictive modelling methods, and machine learning algorithms to achieve the expected outcome.
  • Delivering and designing production ready models and analytic solutions autonomously.
  • Designing data science projects by breaking complex problems or high-level business objectives into smaller problems that can be addressed using data science.
  • Making recommendations and influencing stakeholder groups, including management, with guidance from your manager.

Benefits

  • Training and development opportunities to grow your career.
  • Flexible work options and paid time off to support your personal and family needs.
  • A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
  • Paid volunteer days to give back to your community.
  • Competitive salary and incentive programs.
  • Comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.
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