Senior Insurance Data Scientist
Senior Insurance Data Scientist

Senior Insurance Data Scientist

London Full-Time 48000 - 72000 £ / year (est.) No home office possible
C

At a Glance

  • Tasks: As a Senior Data Scientist, analyse data to optimise underwriting and assess cybersecurity risks.
  • Company: Join Coalition, the first Active Insurance provider focused on preventing digital risks.
  • Benefits: Enjoy 100% medical coverage, 25+ paid holidays, and wellness programmes like Headspace.
  • Why this job: Make a real impact in a remote-first, inclusive culture that values collaboration and innovation.
  • Qualifications: Requires a quantitative degree and 5+ years in insurance risk modelling or analysis.
  • Other info: Coalition is committed to diversity and offers reasonable accommodations for applicants with disabilities.

The predicted salary is between 48000 - 72000 £ per year.

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.

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

  • 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).

100% medical coverage, including out-patient care. Life insurance. 25+ paid holidays. Annual home office stipend. 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.

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.

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.

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.

C

Contact Detail:

Coalition, Inc. Recruiting Team

candidateaccommodations@coalitioninc.com

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Insurance Data Scientist

✨Tip Number 1

Familiarise yourself with the latest trends in cyber insurance and risk management. Understanding the current landscape will not only help you during interviews but also demonstrate your genuine interest in the field.

✨Tip Number 2

Network with professionals in the insurance and data science sectors. Attend industry events or webinars to connect with potential colleagues at Coalition, which can give you insights into their culture and expectations.

✨Tip Number 3

Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your expertise.

✨Tip Number 4

Prepare to discuss your experience with statistical models and data visualisation tools. Be ready to share specific examples of how you've used these skills to drive decision-making in previous roles.

We think you need these skills to ace Senior Insurance Data Scientist

Statistical Analysis
Machine Learning
Data Manipulation
Advanced SQL
Python
R
Data Visualisation
Tableau
Power BI
Looker
Dashboard Creation
Analytical Skills
Risk Modelling
Underwriting Knowledge
Collaboration Skills
Communication Skills
Problem-Solving Skills
Intellectual Curiosity
Big Data Technologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science, underwriting, and risk analysis. Use keywords from the job description to demonstrate that you meet the qualifications.

Craft a Compelling Cover Letter: In your cover letter, express your passion for cybersecurity and how your skills align with Coalition's mission. Mention specific projects or experiences that showcase your analytical abilities and teamwork.

Showcase Technical Skills: Emphasise your proficiency in SQL, Python, R, and any data visualisation tools you've used. Provide examples of how you've applied these skills in previous roles to solve complex problems.

Highlight Collaborative Experience: Since the role involves cross-functional collaboration, mention any past experiences where you've worked with diverse teams. This could include projects with actuaries, product managers, or engineers.

How to prepare for a job interview at Coalition, Inc.

✨Showcase Your Analytical Skills

As a Senior Data Scientist, you'll need to demonstrate your ability to analyse complex datasets. Be prepared to discuss specific examples of how you've used statistical analysis or machine learning models in previous roles, particularly in the context of underwriting or risk evaluation.

✨Familiarise Yourself with Cyber Insurance

Since Coalition focuses on cyber insurance, it's crucial to have a solid understanding of the field. Brush up on current trends and challenges in cyber risk management, and be ready to discuss how your expertise can contribute to improving their underwriting processes.

✨Prepare for Technical Questions

Expect technical questions related to SQL, Python, R, and data visualisation tools. Practise coding problems and be ready to explain your thought process when solving data-related challenges. This will showcase your technical proficiency and problem-solving skills.

✨Emphasise Collaboration and Communication

Coalition values teamwork and cross-functional collaboration. Be prepared to share examples of how you've worked effectively with other teams, such as actuarial or engineering, and highlight your communication skills, especially when conveying complex data insights to non-technical stakeholders.

Senior Insurance Data Scientist
Coalition, Inc.
C
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>