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Senior Insurance Data Scientist

Coalition, Inc.

United Kingdom

Remote

GBP 60,000 - 80,000

Full time

Yesterday
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Job summary

A leading company in the insurance sector is seeking a Senior Data Scientist to optimize underwriting processes. You will analyze diverse datasets, develop statistical models, and collaborate with various teams to enhance risk assessment methodologies. Join a remote-first culture that values inclusivity and innovation.

Benefits

100% medical coverage
Life insurance
25+ paid holidays
Annual home office stipend
7% employer pension contribution
Mental health wellness programs
Competitive compensation

Qualifications

  • 5+ years of experience in underwriting, quantitative analysis, or risk modeling.
  • Advanced SQL skills for querying complex databases.

Responsibilities

  • Analyze diverse datasets to extract meaningful patterns.
  • Develop statistical and machine learning models for risk assessment.
  • Collaborate with cross-functional teams to implement data-driven improvements.

Skills

SQL
Python
R
Data Analysis
Communication

Education

Bachelor's degree in a quantitative field

Tools

Tableau
Power BI
Looker

Job description

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About us

Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks.


Opportunities to make an impact with bold thinking are real—and happening daily at Coalition.


About the role
As a Senior Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition’s underwriting. You will perform statistical analysis to provide data-driven insights. You will help us understand and improve our cyber risk selection and reduction, pricing and automation in order to grow our revenue in a safe and efficient manner.
Responsibilities

  • Analyze diverse datasets including claims data, cybersecurity risk signals, and underwriting databases to extract meaningful patterns and insights

  • Large scale data analysis with the objective of producing valuable risk signals to be used for underwriting or risk evaluation of organizations

  • Develop and refine statistical and machine learning models to assess cybersecurity risks with applications to underwriting and pricing.

  • Create comprehensive reports on underwriting efficiency metrics and risk selection quality to inform strategic decisions

  • Apply statistical techniques to evaluate and improve our cyber risk assessment methodology

  • Provide analytical support for underwriting strategies to balance growth with risk management

  • Identify, analyze, and implement opportunities to automate underwriting workflows using advanced analytics and data-driven strategies

  • Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements. Lead cross-functional initiatives in area of expertise.

  • Serve as both a technical lead and a mentor within the underwriting team.

  • Work alongside other data scientists, software engineers, and cyber security engineers to improve underwriting at Coalition. Intellectual curiosity and proactive approach to identifying improvement opportunities


Skills and Qualifications

  • Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline)

  • 5+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industry

  • Knowledge of underwriting, pricing, reserving, or risk management processes in insurance

  • Advanced SQL skills for querying complex databases and joining disparate data sources

  • Expertise in data manipulation and analysis using Python, R, or similar analytical tools

  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker)

  • Experience with dashboard creation for operational metrics tracking

  • Strong communication and analytical skills

  • Capable of working with remote teams


Bonus Skills

  • Actuarial qualification

  • Experience in cyber insurance or cyber security.

  • Prior experience or willingness to learn how to work with large datasets and big data technologies (Snowflake, AWS Athena)


Perks

  • 100% medical coverage, including out-patient care

  • Life insurance

  • 25+ paid holidays

  • Annual home office stipend

  • 7% employer pension contribution

  • Mental and physical health wellness programs like Headspace, Wellhub

  • Competitive compensation and opportunity for advancement


Why Coalition?

Work at Coalition is centered on the joint mission to Protect the Unprotected. We have built a remote-first, highly inclusive culture that welcomes people from diverse backgrounds. We trust each other to take responsibility, share ownership of outcomes, and put in the work together to protect businesses from digital risk. Coalition’s exceptional growth stems from its ability to address real-world problems for organizations of all sizes while remaining true to our founding values of character, humility, responsibility, purpose, authenticity, and inclusion.


We’re always looking for collaborative, inquisitive individuals to join #OurCoalition.


Visit our Newsroom >


Privacy Notice

Coalition is committed to protecting your privacy and handling your personal information responsibly. We collect, use, and store personal information as necessary for the recruitment process and in compliance with applicable privacy laws and regulations in all regions where we operate. We want you to understand what personal information we collect, how we use it, and your rights regarding access, correction, and deletion of your data where applicable. Information submitted, collected, and processed as part of your application is subject to Coalition's Privacy Policy. For further details, please review our full Privacy Policy or contact us with any questions regarding how your information is handled.


Our Privacy Policy >


Anti-Discrimination Notice

Coalition is proud to be an Equal Opportunity employer. Our policy is to provide equal employment opportunities to all individuals, without discrimination or harassment on the basis of any characteristic protected by applicable laws in each country where we operate. This commitment includes, but is not limited to, ensuring equal treatment in recruitment, selection, training, promotion, transfer, compensation, and all other aspects of employment. Coalition does not tolerate discrimination or harassment of any kind, and we are dedicated to fostering an inclusive and supportive workplace.


Accommodations

Coalition is committed to providing reasonable accommodations to qualified individuals with disabilities, including applicants and employees, in accordance with applicable laws and regulations in each country where we operate. Our policy is to support equal opportunity in the hiring process by considering qualified applicants regardless of disability or other protected characteristics, unless providing accommodation would impose an undue hardship or disproportionate burden. If you require accommodation to complete an application, interview, pre-employment testing, or participate in the selection process, please contact us at candidateaccommodations@coalitioninc.com. We also consider all qualified applicants, including those with criminal histories, in line with applicable laws and regulations in each jurisdiction.


To all potential candidates: Coalition primarily does not use third-party recruiting services. Potential candidates will only be contacted by Coalition, Inc. during the recruitment process. You can always verify any opportunity on our official careers page http://www.coalitioninc.com/careers.


To all recruitment agencies: Coalition does not accept unsolicited agency resumes. Do not forward resumes to our email alias, employees, or other physical or virtual organization locations. Coalition is not responsible for any fees related to unsolicited resumes.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Insurance

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