Company: CGIC
Department: Business Intelligence
Employment Type: Regular Full-Time
Work Model: Hybrid (2 days in office)
Language: English is required, French is an asset.
The Opportunity: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.
How you will create impact:- 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 deliver and design 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.
To join our team:- You have 5-7 years of experience in Data Science, Artificial Intelligence and Business Intelligence. Having experience in the P&C insurance industry is an asset.
- You have a Bachelor's Degree in Computer Science, Engineering or a related technical field. Having completed Graduate studies in any of the previous fields would be also seen as an asset.
- You have strong knowledge and understanding of: Data analysis, Programing/tools, Modelling techniques, Research, Architecture/design.
- You have 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 the following technologies is an asset: R, SQL and data engineering tools.
- This position primarily works with majority non-francophone groups, and teams located outside of Québec, and requires proficiency in English. The essential non-French duties are not assignable to adjacent or other team members.
How you will succeed:- You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.
- You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions.
- You have strong communication skills to clearly convey messages and explore diverse points of view.
- You build trusting relationships and provide guidance to support the development of colleagues.
What you need to know:- You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.
What's in it for you?- 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.
- In addition to our competitive salary and incentive programs, eligible employees also benefit from a 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.
Expected salary range $83,774 to $133,700+.
The salary amount for the successful candidate is determined by Co-operators in its discretion and will vary depending on several criteria including but not limited to: local market conditions, geography and relevant job-related factors such as knowledge, skills, qualification, experience and education.
Employees may also have the opportunity to participate in incentive programs and earn additional compensation tied to individual and/or business performance, or other business metrics.
