Data Scientist

Gore Mutual Insurance

Gore Mutual Insurance is advancing its transformation strategy, with a focus on data innovation and agile practices. Anticipating a merger with Beneva, the company aims to establish itself as a leading mutual insurer in Canada. This role plays a pivotal part in evolving the data science capabilities to enhance business performance through technology.

In this role you can expect to have the responsibilities:

• Develop pipelines for insights using various algorithm types like supervised and unsupervised learning.
• Design and apply AI algorithms and optimization solutions in business contexts.
• Collaborate on data pipelines for ingestion, deployment, and validation.
• Implement machine learning models into production environments with CI/CD practices.
• Engage with business stakeholders to validate and communicate proposed solutions.

This role comes with the following benefits:

• Accommodations provided for people with disabilities

This role requires you to have:

• Bachelor's degree in computer science or related field
• 1-3 years coding proficiency in Python
• Experience with machine learning libraries such as TensorFlow, Keras, and Scikit-Learn
• Familiarity with cloud platforms like Azure, AWS, or MLflow
• Strong communication skills for team collaboration and presentation

You would benefit from having:

• Advanced degree (MS or PhD)
• Understanding of ML architectures like GANs or LLMs
• Experience with MLOps and model monitoring
• Exposure to financial theory and insurance modeling

Gore Mutual Insurance is committed to accessibility in recruitment, providing accommodations during all hiring phases for candidates with disabilities.