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Co-operators

Senior Data Scientist - Client Analytics

Posted 12 Days Ago
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In-Office or Remote
Hiring Remotely in Québec, QC, CAN
Senior level
In-Office or Remote
Hiring Remotely in Québec, QC, CAN
Senior level
Lead development and deployment of production-ready predictive models for Client Lifetime Value and client analytics. Apply statistical and machine learning techniques using Python/R, translate business problems into analytic solutions, coach peers, and communicate actionable insights to stakeholders. Ensure data architecture, modelling standards, and reproducible scientific methodology across projects.
The summary above was generated by AI

Company: CGIC
Department: Business Intelligence
Employment Type: Regular Full-Time
Work Model: Hybrid (2 days in office)
Language: Bilingualism in English and French is required.


The Opportunity:

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.

As a Senior Data Scientist, you will contribute on various initiatives while also supporting his 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 models. You will also effectively communicate findings and recommendations to a business audience. The main focus of this team will be working on Client Lifetime Value and Client Analytics.


How you will create impact: 
  • Champion and able to coach other in at least one programming language.
  • You define the required models/technique to solve business problems and support other thorough the execution. 
  • You are fully proficient in data science, having a proven track record in programming, using various statistical techniques, predictive modelling methods, and machine learning algorithms to achieve the expected outcome.
  • You autonomously deliver and design production ready models and analytic solutions.
  • You coach peers on the use of a scientific methodology in all projects, tasks, and interactions.
  • With guidance, you design data science projects by breaking complex problems or high-level business objectives into smaller problems that can be addressed using data science.
  • With guidance from your manager, you make recommendations, and you influence your audience, including management.

To join our team:  
  •   
  • You have 6-9 years of experience in Data Science or another related field. 
  • You have a Bachelor’s Degree in Actuarial, Mathematics, Statistics, Computer Science, or any other relevant field.
  • Having a Master’s degree and ACAS or FCAS designations are considered an asset. 
  • You have strong knowledge and understanding of: Data analysis, Programing/tools, Modelling techniques, Data warehouse/data management, 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.
  • Experience with following technologies is required: Python & R
  • Experience with following technologies is an asset: DataBricks & Spark.
  • Proficiency in both English and French is essential to the main duties in this role, including servicing and communicating primarily with majority anglophone and francophone clients, groups, and teams. 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 - $133,700+” (min-max, full range).

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.

 

Co-operators Montréal, Québec, CAN Office

2000, McGill College, bureau 810, Montréal, Québec, Canada, H3A 3H3

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