Senior Data Scientist

at  Gore Mutual Insurance

WE’RE NOW AT THE BOLDEST PHASE OF OUR NEXT HORIZON JOURNEY

At Gore Mutual, we’ve completely transformed our business in under three years. By investing in top talent and leading technology, we’ve redefined what it means to be a modern mutual that does good.
Our path forward brings a sharper focus on our business’ performance that’s powered by innovation and an agile, high-performing culture – we’re built for success.

CONSTRUCT PIPELINES FOR OPTIMIZATION OF BUSINESS SOLUTIONS GIVEN KNOWN CONSTRAINTS

• Understanding of different optimization techniques (linear optimization, integer optimization, dynamic programming etc.)
• Experience in design and practical application of optimization solutions in a business setting

WE’RE WELL ON OUR WAY TO BECOMING A PURPOSE-DRIVEN, DIGITALLY LED NATIONAL INSURER. COME JOIN US.

Our Data Science practice at Gore Mutual Insurance is expanding to accelerate our move towards becoming a truly data-driven and digitally led company. To continue our journey forward, we are looking to onboard a Senior Data Scientist to help us develop efficient, reusable pipelines and algorithms to drive value from data. This role will be responsible for development of efficient reusable pipelines to ingest data, construct features, develop algorithms, and deploy models for driving value from data

What will you need to succeed in this role?

• Bachelor’s degree in computer science or equivalent (MS or PhD advantageous but not required). Require 3-5 years of experience in the skills below:
• Strong coding experience with python and familiarity with machine learning packages and libraries (e.g., TensorFlow/ Keras, Scikit-Learn, PyTorch/FastAI)
• Familiarity with cloud technologies (e.g., Azure, MLflow, AWS)
• Wide understanding of ML architectures (e.g., GANs, LLMs, Reinforcement Learners)
• Strong communication skills to effectively collaborate and present insights with other team members
• Experience leveraging visualization technologies to interpret complex data, create insightful dashboards, and present findings in a clear and impactful manner (e.g., PowerBI, matplotlib, seaborn, plotly, ggplt, geoplotlib)
• Experience with deployment of machine learning models into production environments (e.g., implementing continuous integration and delivery (CI/CD) pipelines for automated model deployment, applying MLOps practices to maintain the lifecycle of machine learning models, model monitoring, and model performance metrics.
• 1 year experience in a ML/AI development role (coop acceptable)
• Strong understanding of concepts around software engineering and computer science.
• Literacy in modern financial theory (e.g., risk, pricing, portfolio construction) and/or insurance modelling an asset
• Strong communication skills to effectively collaborate and present insights with other team member