Full-Time
Applied Scientist 2
Coalition
501-1,000 employees
Active cyber insurance with risk management
Compensation Overview
$115.9k - $155.3k/yr
Remote in USA
Remote
 AI & Machine Learning (2) |
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- Ph.D. or MS in a quantitative or computational field (e.g., Computer Science, Statistics, Applied Math, Electrical Engineering) or equivalent practical experience.
- 5+ years of full-time experience developing and deploying ML- and data-based solutions in production.
- Practical, hands-on experience with supervised and unsupervised learning methods, including model selection, regularization, and calibration.
- Expertise in statistical analysis methods, especially regression analysis, statistical inference, and forecasting / time-series methods.
- Strong proficiency in Python and core ML libraries (e.g., scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow) and SQL for working with large, messy datasets.
- Experience with experiment design and evaluation (e.g., A/B tests, offline metrics vs. online KPIs, guardrails) and with ensuring reproducible results.
- Comfortable and effective in ambiguous problem spaces; demonstrated ability to own and drive projects with minimal oversight and process.
- Exceptional written and oral communication skills, with the ability to explain complex modeling choices and tradeoffs to technical and non-technical stakeholders.
- Minimum 1+ year of experience in insurance underwriting modeling (pricing, risk scoring, eligibility, or related applications).
- Build and advance our most sensitive and business-critical ML and GenAI models that power underwriting decisions and risk selection.
- Drive and execute ML projects end-to-end: problem framing, data exploration, feature engineering, model design, prototyping, offline/online evaluation, deployment, and monitoring.
- Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid and reproducible experimentation.
- Apply state-of-the-art ML and GenAI workflows (e.g., gradient-boosted trees, deep learning, LLMs, prompt engineering, transfer learning) to improve underwriting accuracy, automation, and decision support.
- Own model quality and robustness by defining success metrics, running ablations and diagnostics, and iterating to outperform prior baselines.
- Survey and incorporate recent advances in ML/GenAI research into our core underwriting capabilities, balancing scientific rigor with practical constraints.
- Collaborate closely with underwriters, product, data, and engineering partners to clarify requirements, align on tradeoffs, and ensure models integrate cleanly into production workflows.
- Communicate methods and results clearly through documentation, presentations, and design reviews; share learnings and patterns that level up the broader team.
- Contribute to a culture of scientific and data excellence by bringing mature empathy, best practices, and lightweight processes to experimentation, code review, and model governance.
- Experience with modern GenAI techniques relevant to underwriting (e.g., using LLMs for document understanding, unstructured-to-structured extraction, or underwriter copilot workflows).
- Familiarity with model governance in regulated environments, including documentation, validation, monitoring, and change management.
- Experience with ML orchestration and MLOps tools (e.g., Airflow, Prefect, MLflow, SageMaker) for managing training, deployment, and monitoring at scale.
- Exposure to causal inference or uplift modeling for understanding the impact of underwriting or guideline changes.
- Experience working with cyber or P&C insurance data (exposures, limits, deductibles, claims, external risk signals).
Coalition combines active cyber insurance with preventive cybersecurity tools to help businesses reduce digital risk before attacks occur. Its platform, Coalition Control, delivers automated alerts, risk guidance, and third-party risk management, while partnerships with global insurers and Coalition Insurance Company provide policy coverage in the US, UK, Canada, and Australia. The company also runs Coalition Security Labs to educate policyholders and the broader security community. Its goal is to prevent cyber incidents by pairing risk transfer with proactive protection.
Company Size
501-1,000
Company Stage
Series F
Total Funding
$770M
Headquarters
San Francisco, California
Founded
2017
Simplify's Take
What believers are saying
- Allianz Commercial transitions entire cyber business to Coalition on May 6, 2026.
- Series F raises $250M in June from Allianz X and Valor Equity Partners.
- Policyholders experience 73% fewer claims than industry average.
What critics are saying
- Travelers' April 2024 Corvus acquisition undercuts Coalition's SMB pricing within 6-12 months.
- Next Insurance erodes SMB share using 500,000 customers in 12-18 months.
- A.M. Best downgrades Coalition Insurance Company's A- rating in 6-12 months.
What makes Coalition unique
- Coalition Control scans external attack surface including 65k ports and suppliers.
- Active Insurance integrates AI-powered alerts with comprehensive cyber coverage.
- Proprietary incident data prioritizes risks unlike traditional insurers.
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Your Connections
People at Coalition who can refer or advise you
Benefits
Enjoy a highly fulfilling, mission-driven culture
Health, dental, and vision benefits for you and your family
Life insurance and disability benefits
Paid parental leave
401(k) plan
Wellness and commuter benefits
Flexible working hours
Open vacation days
We embrace distributed work; some benefits will vary by location
You are an owner. We offer stock options to each of our employees
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 2%2 year growth
↑ 2%Coalition, the world's first Active Insurance provider designed to prevent digital risk before it strikes, today announced it has acquired Wirespeed™, an ind...
MSI's investment in Coalition marked the largest cyber insurtech raise in the first half of the year, highlighting Coalition's credibility and the broader confidence in the cyber insurtech market. Despite a subdued funding landscape, this significant investment underscores the importance of strategic partnerships in a volatile industry. Investors are favoring established companies, reflecting broader economic trends and market caution. The need for innovative cyber insurance products remains critical as digital threats evolve.
Coalition has secured $205 million in funding from Durable Capital Partners, T. Rowe Price Associates, Whale Rock Capital Management, and existing investors, raising its valuation to $3.5 billion. This investment supports Coalition's technology-driven approach to cyber risk and will help expand its offerings and enhance its platform. Coalition serves over 52,000 businesses in North America and reports 70% fewer claims than the industry average.
Hawk, a Germany-based fraud and money laundering prevention provider, has raised $56 million in a Series C funding round. Announced on April 8, the funding will support product innovation and expansion, particularly in the U.S. Hawk aims to improve anti-money laundering and fraud detection by moving beyond traditional rules-based systems, which often result in high volumes of false positive alerts and increased compliance costs.
Coalition, the world's first Active Insurance provider designed to prevent digital risk before it strikes, today announced a new $30 million equity in