Senior Data Scientist – Hybrid in Toronto

Senior Data Scientist – Hybrid in Toronto

Toronto Full-Time 121500 - 148500 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead data science projects to enhance customer experience and improve business processes.
  • Company: Northbridge Financial Corporation, a forward-thinking company focused on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a collaborative team in a dynamic environment with great career potential.
  • Why this job: Make a real impact by driving analytics that transform customer interactions.
  • Qualifications: Experience in data science and strong problem-solving skills required.

The predicted salary is between 121500 - 148500 $ per year.

Northbridge Financial Corporation seeks a Senior Data Scientist to lead the data science lifecycle for multiple business use cases, driving predictive and prescriptive analytics to improve customer experience, underwriting and claims processes. The role emphasizes ownership, problem-solving with data, and delivering data science solutions in an entrepreneurial, team-oriented environment with a hybrid work model.

Senior Data Scientist – Hybrid in Toronto employer: Northbridge Financial Corporation

Northbridge Financial is an exceptional employer that prioritizes employee growth and satisfaction, offering a hybrid work model that fosters flexibility and work-life balance. With a strong focus on leadership development and operational excellence, employees are encouraged to innovate and improve processes while being part of a supportive team culture. Located in a dynamic environment, Northbridge provides unique opportunities for career advancement in the insurance sector, making it a rewarding place to build your professional future.

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Contact Details:

Northbridge Financial Corporation Recruitment Team

We think you need these skills to ace Senior Data Scientist – Hybrid in Toronto

Data Science Lifecycle Management
Predictive Analytics
Prescriptive Analytics
Customer Experience Improvement
Underwriting Process Optimization
Claims Process Enhancement
Problem-Solving with Data