Senior Data Scientist

New

UKFull-TimeSenior

Salary not disclosed

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Job Details

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

Analyze diverse datasets including claims data, cybersecurity risk signals, and underwriting databases to extract meaningful patterns and insights.
Perform large scale data analysis to produce valuable risk signals for underwriting and risk evaluation.
Develop and refine statistical and machine learning models to assess cybersecurity risks for 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 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.
Collaborate cross-functionally with actuarial, product, and engineering teams and lead initiatives in area of expertise.
Serve as a technical lead and mentor within the underwriting team.

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