Data Scientist

Job Description

New Role – Applied Data Scientist (Specialty Insurance)

This role will apply advanced analytics and modelling to improve risk selection, pricing decisions, and claims insight across speciality insurance lines including Renewables, D&O, Credit and Marine.

The role will sit at the intersection of underwriting judgement, actuarial thinking, claims insight, and modern data science and will involve a secondment into the Innovation team, helping shape a cross-line analytics capability that strengthens decision-making across the underwriting lifecycle.

The Candidate –

• Between 2-5 years' experience in an insurance pricing team
• Strong applied data science capability – using Python/R to apply statistical modelling and machine learning techniques
• Understanding of statistical and analytical foundations – probability theory, GLMs, time series analysis
• Comprehension of modern machine learning techniques and modelling approaches – random forest, XGBoost, GBMs
• Solid SQL, data handling and data visualisation skills

Salary – £60,000 – £100,000

Location – London (Hybrid)

If you're a data scientist with insurance experience then please get in touch via email – holly.ellenthorpe@eamesconsulting.com

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