Applied Scientist II, Any location, United States | Coalition, Inc.

Coalition

Remote Actively hiring
Remote, USA Posted 43 days ago $115,900–$115,900 / year
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At a glance

AI generated

TL;DR

As an Applied Scientist II at Coalition, you will join a dynamic team focused on enhancing the company’s underwriting capabilities through advanced machine learning and generative AI models. Your primary responsibilities include building and refining critical ML and GenAI systems that influence cyber risk assessment and pricing decisions. You will work closely with cross-functional teams to design robust data pipelines, experiment with cutting-edge techniques like gradient-boosted trees and deep learning, and ensure seamless integration of your models into production workflows. Essential skills for this role include expertise in Python, proficiency with ML libraries such as scikit-learn and PyTorch, and a strong background in statistical analysis. Additionally, experience in insurance underwriting modeling is highly valued to address the unique challenges of cyber risk assessment at scale.

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

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 enhance 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 or computational field with 5+ years of full-time ML experience.
  • Expertise in supervised and unsupervised learning methods, statistical analysis, and forecasting techniques.
  • Strong proficiency in Python, core ML libraries (scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow), and SQL.
  • Experience with experiment design, evaluation, and ensuring reproducible results in ambiguous problem spaces.
  • Minimum 1+ year of experience in insurance underwriting modeling for pricing, risk scoring, or eligibility.

Market check

Salary context

This $115,900–$115,900 range sits above 5% of similar postings on FindRole.

Peer median band

$119,800–$223,750

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$149,475–$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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