Applied Scientist II, Any location, Canada | Coalition, Inc.

Coalition

Remote Actively hiring
Remote, Canada Posted 45 days ago $115,300–$115,300 / year
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At a glance

AI generated

TL;DR

The Applied Scientist II role at Coalition involves building and improving machine learning and GenAI models that drive underwriting decisions. This senior position requires end-to-end ownership of high-impact modeling projects, from data exploration to deployment and monitoring, with a focus on enhancing cyber risk assessment accuracy. The ideal candidate will collaborate closely with cross-functional teams to design robust ML pipelines, experiment with cutting-edge techniques like gradient boosting and deep learning, and ensure models integrate seamlessly into production workflows. Strong proficiency in Python, core ML libraries such as scikit-learn and PyTorch, and SQL is essential, along with experience in insurance underwriting modeling. The role demands expertise in statistical analysis, model governance in regulated environments, and familiarity with MLOps tools for managing large-scale deployments.

Skills

Python scikit-learn XGBoost LightGBM PyTorch TensorFlow SQL A/B testing MLflow SageMaker Airflow Prefect LLMs Gradient-boosted trees Deep learning Transfer learning Prompt engineering Causal inference Uplift modeling MLOps CI/CD

What you'll do

  • Build and advance critical ML and GenAI models for underwriting decisions.
  • Execute end-to-end ML projects from problem framing to model deployment.
  • Design robust ML pipelines for data preprocessing and model training.
  • Apply state-of-the-art techniques like LLMs to improve underwriting accuracy.
  • Own model quality by defining success metrics and iterating on improvements.
  • Collaborate with partners to ensure models integrate into production workflows.

What we're looking for

  • Ph.D. or MS in a quantitative field with 5+ years of full-time ML development experience.
  • Expertise in supervised and unsupervised learning methods, statistical analysis, and time-series forecasting.
  • Strong proficiency in Python, core ML libraries (scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow), and SQL.
  • Experience with modern GenAI techniques relevant to underwriting models.
  • Ability to design and implement robust ML pipelines for data preprocessing and model evaluation.
  • Minimum 1+ year of experience in insurance underwriting modeling (pricing, risk scoring, eligibility).

Market check

Salary context

This $115,300–$115,300 range sits above 7% of similar postings on FindRole.

Peer median band

$129,600–$223,400

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$138,710–$207,350

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Coalition

Coalition is a cyber insurance and security company that combines comprehensive cyber insurance coverage with active risk management tools to help organizations prevent and respond to cyber incidents. Industry: Cyber Insurance & Risk Management

Coalition currently has 12 open roles on FindRole.

Listed pay typically runs $150,000–$150,000 across 10 roles with salary data.

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View all roles at Coalition

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