Senior Data Scientist

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 do?

Construct pipelines for algorithm / model driven insight from data

• Understanding of different algorithm types (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.

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

Construct pipelines for data ingestion and 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 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 through testing and validation

Construct pipelines for 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 wrt different algorithm types

Interact with business stakeholders to ensure 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?

• 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 members

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