Data Scientist II / Senior Data Scientist
Wawanesa Insurance
Winnipeg, MB, CA, R3C-3P1
6d ago

Job Overview

Working under minimal supervision, this mid to senior career Data Scientist job opportunity contributes to Wawanesa’s success by extracting knowledge and insights from data, through machine learning, data mining and predictive modeling, to support decision making across the organization.

Job Responsibilities

  • Work with various stakeholder to translate business questions into formalized and repeatable analytical processes
  • Work with various stakeholders throughout the organization to design, develop, and assess experiments aimed at uncovering meaningful and actionable insights
  • Disseminate the findings from analysis and experiments for easier stakeholder consumption
  • Assist in the development and refinement of measures and reports designed to improve decision making
  • Document all aspects of the analytical process, including data requirements, data processing, analytical approaches utilized, any created code and, in general, the findings of the work conducted
  • Contribute to educational initiatives aimed at the development of overall inter- and intra-departmental knowledge
  • Participate in planning activities
  • Contribute to data management improvements
  • Improve upon and ensure adherence to established practices, processes and guidelines
  • Keep up to date on current statistical and mathematical models and methodologies, including those relating to machine learning, deep learning, and artificial intelligence
  • Mentor other Data Scientists
  • Perform other duties as assigned
  • Qualifications

  • Completion of post-secondary degree / certificate preferably in the area of computer science, mathematics, statistics, actuarial science / mathematics, engineering, physics, or other related field
  • 2 to 4 years’ practical experience performing analysis or developing analytical processes using current programming languages and / or statistical software
  • 2 years’ experience performing data exploration, data management, and other data related activities
  • Detail oriented with analytical and problem-solving skills and an ability to recognize and identify issues and take proper action to resolve them
  • Strong creativity skills, with the ability to develop solutions to a variety of problems
  • Excellent communication skills, with the ability to communicate in a clear and concise manner with style fitting for the audience and message
  • Strong planning and organizing skills, with the ability to develop and implement plans by prioritizing
  • Effective leadership skills, with the ability to facilitate high team morale by encouraging and coaching team members
  • Effective decision making skills, with the ability to direct team members to achieve goals through clear instruction
  • Proficiency with analytical tools used within the department
  • Experience with analytical tools such as Python and R is considered an asset
  • Knowledge and experience in the insurance industry is considered an asset
  • Wawanesa provides its employees with a respectful , challenging and rewarding environment where they can maximize their potential while contributing to the company’s goals.

    Our employees are provided with highly competitive compensation packages (salaries, generous vacation allowance, leave top up, goal achievement plan, premium free benefits and a pension plan).

    Wawanesa provides a stable and rewarding environment for its employees in today’s challenging markets.

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