Senior Data Scientist
Coalition Development Ltd · Any location, United Kingdom · posted 29 days ago
Going rate £41,500UK median £43,384
Home Office going rates
Occupation
2119Natural and social science professionals n.e.c.
Going rate for this occupation: £41,500 · UK median pay £43,384
Home Office going rates from
Where this salary sits
- UK pay for this occupation
- This role£39,803 to £51,720estimated
- Going rate£41,500
- UK median£43,384
View these figures as a table
| Percentile | Pay |
|---|---|
| 10th | £28,682 |
| 25th | £34,431 |
| 50th | £43,384 |
| 75th | £53,804 |
| Going rate | £41,500 |
| UK median | £43,384 |
Sponsorship
Sponsorship chance
High
- Licensed for Skilled Worker
- Occupation is eligible for Skilled Worker
- Estimated salary is below the going rate
On the public records we hold, sponsorship for this role looks likely: licensed for Skilled Worker, and occupation is eligible for Skilled Worker.
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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
Information from public records, not immigration advice.