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Coalition

Senior Data Scientist

RemoteUnited Kingdom only
Published
Role
Data Science
Experience
Senior
Company size
Startup
Salary not disclosed
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Open to GB only. Set where you work from to check your eligibility.

No BS summary

Senior Data Scientist needed to measure, understand, and optimize underwriting. Requires statistical analysis, machine learning model development for cyber risk assessment, and strong SQL/Python/R skills. Must have 5+ years of experience in insurance quantitative analysis or risk modeling.

Core skills

machine learningstatistical modelingrisk assessment

Required skills

SQLPythonR

Optional skills

Actuarial qualificationcyber insurancecyber securitySnowflakeAWS Athena

Required languages

English

What you'll do

  • 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

What they require

  • 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

Benefits

  • 100% medical coverage, including outpatient 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

provincial political party in Quebec, Canada

🇺🇸 United StatesInsuranceStartupcoalitionavenirquebec.org/
Salary not disclosed