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 Data Scientist(two roles) 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 1-3 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.
• 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

#LI-Hybrid

The expected base salary range for this position is $64,500- $114,500. 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.

#