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For Companies At a Glance
- Tasks: Analyse data to optimise underwriting and improve cyber risk assessment.
- Company: Join Coalition, the first Active Insurance provider tackling digital risks since 2017.
- Benefits: Enjoy 100% medical coverage, 25+ paid holidays, and wellness programmes.
- Why this job: Make a real impact in a remote-first, inclusive culture focused on protecting businesses.
- Qualifications: Bachelor's degree in a quantitative field and 3-6+ years in insurance analytics required.
- Other info: Collaborate with diverse teams and grow your skills in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
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 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.
- 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.
- Deliver analysis that will directly inform the development of automated underwriting systems.
- Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements.
- Work alongside senior data scientists, software engineers, and cyber security engineers to improve underwriting at Coalition.
- Intellectual curiosity and proactive approach to identifying improvement opportunities.
- Ability to work effectively with guidance from senior data science team members.
Skills and Qualifications
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline).
- 3-6+ 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.
Nice-to-have 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.
Insurance Data Scientist employer: Coalition, Inc.
Contact Detail:
Coalition, Inc. Recruiting Team
candidateaccommodations@coalitioninc.com
StudySmarter Expert Advice 🤫
We think this is how you could land 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 join online forums to connect with individuals who can provide insights or even refer you to opportunities at Coalition.
✨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 abilities.
✨Tip Number 4
Prepare to discuss your analytical approach and past experiences in detail. Be ready to share specific examples of how you've used data to drive decisions or improve processes, as this will resonate well with the hiring team.
We think you need these skills to ace Insurance Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, quantitative analysis, and the insurance industry. Emphasise your skills in SQL, Python, and data visualisation tools, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it can impact underwriting processes. Mention specific projects or experiences that demonstrate your analytical skills and ability to work with large datasets.
Showcase Your Analytical Skills: Provide examples of past projects where you performed statistical analysis or created reports that influenced decision-making. Highlight any experience with risk assessment methodologies or automated systems.
Research Coalition: Familiarise yourself with Coalition's mission and values. Understanding their approach to active insurance and cybersecurity will help you align your application with their goals and demonstrate your enthusiasm for the role.
How to prepare for a job interview at Coalition, Inc.
✨Showcase Your Analytical Skills
As a Data Scientist, you'll need to demonstrate your ability to analyse complex datasets. Be prepared to discuss specific projects where you've used statistical techniques or data manipulation tools like Python or R to derive insights.
✨Understand Cyber Risk
Since Coalition focuses on cyber insurance, it's crucial to have a solid understanding of cyber risk assessment. Brush up on the latest trends in cybersecurity and be ready to discuss how you can contribute to improving risk selection and reduction.
✨Prepare for Technical Questions
Expect technical questions related to SQL, data visualisation tools, and your experience with large datasets. Practise explaining your thought process clearly and concisely, as communication is key in this role.
✨Demonstrate Collaboration Skills
You'll be working cross-functionally with various teams. Share examples from your past experiences that highlight your ability to collaborate effectively, especially in remote settings, to achieve common goals.
