Data Scientist - Underwriting Analytics at Coalition | Powderkeg

Location: United States

Employment Type: Full-time

Team: Data Science

About Us

Founded in 2017, Coalition is on a mission to solve cyber risk and create a safer digital economy where everyone can thrive. Digital risk is now a part of every business and it’s no longer solely the domain of technical teams. That’s why we combined comprehensive insurance with proactive cybersecurity tools to help organizations stay resilient to digital risks like cyber attacks, funds transfer fraud and much more.

Our team works collaboratively across North America and Europe to prevent security failures and provide both technical and financial help when incidents do occur. Today, Coalition is the world’s largest commercial insurtech serving over 130,000 customers including many small businesses that rely on Coalition to help them chart a path forward in the new digital world.

As of September 2021, Coalition has raised $520 million from leading global technology investors as well as highly-regarded institutional investors including: Index Ventures, Ribbit Capital, Valor Ventures, Durable Capital, T. Rowe Price Advisors, and Whale Rock Capital, valuing the company at more than $3.5 billion.

Coalition has experienced tremendous growth by helping organizations of all sizes solve real-world problems and by remaining true to our founding values of character, humility, responsibility, authenticity and diversity. That’s why we are proud to be named one of Inc’s Best Places to Work in 2021.

About The Role

Coalition is looking for a data scientist to join our rapidly growing data science team to solve underwriting challenges. You will use analytics, experimentation, and modern statistical techniques to help us understand and improve our underwriting system. you will be responsible for growing our revenue in a safe and efficient manner, from informing pricing strategies to better market segmentation to identifying/executing on further automation opportunities.

This role requires an ability to partner with our head of underwriting and other key stakeholders to quickly identify emerging trends in our underwriting data and effectively communicate clear, actionable strategies across the company.


  • Evaluate our current underwriting practices and compare them against industry trends
  • Analyze complex processes and workflows to identify and implement improvements to increase productivity and improve cycle time.
  • Support reporting, analytics, and machine-learning needs of the entire Underwriting team
  • Proactively lead conversations with key business stakeholders to drive continuous underwriting improvements
  • Manage the company's underwriting + pricing KPIs, analyses, and data visualizations
  • Support the company's governance, risk, and compliance programs as they relate to our pricing/underwriting systems
  • Create and maintain documentation that will support the effective implementation of repeatable processes and workflows
  • Spread data science best practices to both data science and underwriting team

Skills and Qualifications

  • 2+ years of experience in a professional analytics / data science capacity
  • Experience writing SQL queries to extract and prepare data for modeling and analyses
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Ability to think objectively and interpret meaningful themes from quantitative and qualitative data
  • Ability to build constructive and effective relationships with a broad and diverse group of business partners
  • Comfortable guiding others, recommending tools and standard methodologies to improve the efficiency of the teams work
  • Strong communication skills and ability to convey complex topics to non-technical audiences
  • Passionate about subjects such as experimental design, data visualization, and statistical analysis techniques

Bonus Points

  • Experience working in Tableau/Looker or similar data visualization tool a big plus
  • Experience within the insurance or financial services industry, with a focus on underwriting
  • Experience with Python or R
  • A Bachelor's degree in Computer Science, Mathematics, Economics, Statistics or related technical field

Why Coalition?

Coalition's culture is one that strongly values humility, authenticity, and diversity. We want to work with people of different backgrounds and different paths in life, and we trust our team members to take responsibility, share ownership and work for one another. We are always looking for collaborative, inquisitive and dedicated individuals to join our team.

Coalition Engineering

Our culture is one of character, humility, responsibility, purpose, and authenticity. We are growing rapidly and that growth is enabled by strong teamwork, communication, and mentorship. We want people who are passionate about becoming experts in both the business and the technologies that support it. Our core platform is written mostly in Python with some services in Java and Go. We prefer to use the right tool for the job and make pragmatic decisions about how to scale and de-couple systems as we continue to grow. We’re looking for someone who can navigate a cloud environment (AWS) with many moving pieces and systems to help the team understand how they fit into the broader puzzle.

Recent press releases:

[Coalition Closes $205 Million Series E, Valuing the Cyber Insurance Provider At More Than $3.5 Billion]( funding-and-over-3-5-billion-valuation/)

Coalition is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.


Job Summary
  • Job Title
    Data Scientist - Underwriting Analytics
  • Company
  • Location
    San Francisco, CA
  • Employment Type
    Full time
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