Data Scientist - Fulltime (Cambridge)

Data Scientist - Fulltime (Cambridge)

30 Jul
|
Gore Mutual Insurance
|
Cambridge

30 Jul

Gore Mutual Insurance

Cambridge

Now, we’re proudly building on that legacy to transform our company—and our industry—for the better.

Effective

January 1, 2026, Gore has joined Beneva—the country’s largest mutual insurance company—as part of its Property & Casualty operations in Ontario and Western Canada. During 2026, Gore will combine its operations with Unica Insurance, Beneva’s Ontario‑based subsidiary specializing in niche commercial and personal insurance, creating a stronger, more diversified mutual insurer with greater scale and long‑term stability. Every decision and investment remains anchored in long‑term benefits to customers, members, and communities.

Are you driven by data, inspired by innovation, and eager to shape the future of insurance?

We're building on a solid foundation, powered by cutting‑edge technology, a robust enterprise data analytics team, and bold investments in AI. We're looking for bright, analytical minds to help bring our strategy to life. If you're passionate about solving complex problems and want to explore Pricing, Underwriting, and Claims, we want to hear from you. Data Scientist

We're looking for a Data Scientist to join our growing team and build the next generation of predictive analytics solutions. In this role, you won’t just be crunching numbers, you’ll be using machine learning (ML) and artificial intelligence (AI) models to transform raw data into powerful insights that drive our business forward. If you have a passion for data and a desire to see your work make a tangible impact, this role is for you.

Deliver value through algorithm/model driven insight from data:



Experience applying ML/AI algorithms in a business context under guidance from senior team member Basic understanding of optimization concepts (linear, integer, dynamic programming) Pull data from various systems using SQL, PySpark, and other standard tools for relational and distributed databases Assist engineering partners in building automated data pipelines for model delivery Support deployment of machine learning models into production environments, including CI/CD workflows and MLOps practices under supervision Create models through advanced data feature engineering Work with feature stores and operational systems to support automated feature development (MLflow, Databricks, etc.) Apply feature transformation techniques to improve model performance across algorithm types Integration of machine learning and AI algorithms into core claims functions Familiarity with pricing, reserving, and regulatory functions in P&C; insurance Exposure to actuarial or insurance decision‑support tools (Earnix, Guidewire) is an asset Assist in designing prototypes, analyses,



and visualizations incorporating ML/AI models Gather business requirements with support from senior team members Help assess the validity of algorithmic solutions relative to business constraints Bachelor's degree required and nice to have a Masters’ or PhD a quantitative field (Statistics, CS, Mathematics, Actuarial Science, Economics, or similar) 1-3 years in a ML/AI development role ,building and deploying ML/AI models in production Strong hands‑on experience with both classical ML (GLMs, LightGBM, XGBoost etc ) and modern NLP (BERT, embeddings, LLMs, Hugging Face, RAG) for modelling both structured & unstructured datasets(tabular, text, document and images) Strong Python & SQL skills and familiarity with cloud/ML platforms (Databricks, Azure) Experience with model governance, MLOps, performance monitoring. Prior experience in P&C; insurance pricing, claims, underwriting, or fraud is strongly preferred Outstanding communication and collaboration skills to engage stakeholders, frame ambiguous problems, and translate technical results into business decisions. Knowledge of financial theory or insurance modelling is an asset The expected base salary range for this position is $64,500 - $114,500.

You have the potential to earn more through Gore Mutual’s discretionary bonus program which gives you an chance to increase your total compensation, provided the business meets its performance targets and you meet your individual goals. extended health and dental benefits disability insurance retirement plan matching Gore Mutual Insurance Company is committed to providing accommodations for people with disabilities during all phases of the recruiting process, including the application process. If you require accommodation because of a disability, we will work with you to meet your needs.

📌 Data Scientist - Fulltime (Cambridge)
🏢 Gore Mutual Insurance
📍 Cambridge

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