Senior Data Scientist

Our Actuarial team is looking to onboard a Senior Data Scientist to help us drive value from data through the development of ML and AI algorithms, models and pipelines. This role will be responsible for driving significant business value generated from efficient reusable automated ML, AI algorithms, models, and pipelines 

What will you do?

Generate value through algorithm / model driven insight from data

• Understanding of different algorithm types and their application (supervised classification, regression, unsupervised, reinforcement etc.)
• Understanding of different modelling architectures, strengths and weaknesses (e.g., gradient boosting, clustering, SHAP, LLMs, autoencoders)
• Experience in design and practical application of AI algorithms in a business setting, working with business users and ensuring that models are built suitably and applied
• 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 given certain constraint

Data ingestion, model deployment and validation

• Pull data from various systems using SQL pyspark and other standard languages for relational and distributed databases and set up data ingestion pipelines to third party sources via API etc
• Work with engineering partners to construct automated data pipelines for continuous delivery of data to models
• Deploy 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 through testing and validation

Enhanced feature engineering of data

• Work with Ops based systems for feature stores / automation of feature development (MLFlow, databricks, etc)
• Understand feature transformation techniques to extract maximal value from data with respect to different algorithm type

Generate value through the integration of machine learning and AI algorithms into core Claims functions

• Understand various claims functions in property and casualty insurance
• Design and prototype new analyses and visualization with the integration machine learning and AI models 

Interact with business stakeholders to ensure value and validity of proposed solutions

• Communication with business stakeholders to understand requirements
• Understand validity of algorithmic & optimization solutions with respect to business constraints and value
• Clear communication, both written and oral, for dissemination of results to business stakeholders

What will you need to succeed in this role?

• Master’s degree in technical discipline or equivalent (PhD preferred but not required)
• 3 to 5 years in a ML/AI development role
• Strong understanding of business context for advanced models, with experience deploying models that are utilized to generate value. Deployment and utilization are key experience.
• 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.
• 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

The expected base salary range for this position is $79,500 - $129,500. Depending on your relevant experience, skills, qualifications, market conditions and business needs, base compensation may vary. You have the potential to earn more through Gore Mutual’s discretionary bonus program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.

Please note: This range reflects the expected base salary for this role but may not represent the full compensation range for all experience and skill levels. During the recruitment process, we will discuss and consider how your unique qualifications align with the broader range for this position.

Gore Mutual is proud to offer a comprehensive total rewards package which includes extended health and dental benefits, disability insurance, retirement plan matching, paid time off, recognition and perk programs.