Senior Pricing Strategist - Insurance Analytics & ML
Gerrard White Consulting
England
Hybrid
GBP 63,000 - 77,000
Full time
14 days+
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Benefits offered by this job
Flexible working options
Competitive salary
Job summary
A leading consulting firm is seeking an Insurance Pricing, Data Science and Advanced Analytics Recruitment Specialist to shape pricing strategy at scale. The role involves developing predictive pricing models, delivering strategic analysis, and advising senior stakeholders. Candidates should have experience in general insurance pricing, strong technical skills, and familiarity with SAS, R, or Python. This position offers flexible working options, either full time or part time.
Qualifications
Experience in general insurance pricing is essential.
Strong technical skills with a commercial mindset required.
Knowledge of SAS, R or Python is critical.
Responsibilities
Lead the development of predictive pricing models using advanced techniques.
Deliver strategic pricing analysis to senior stakeholders.
Build and maintain pricing dashboards and reports.
Evaluate new internal and external data sources.
Manage pricing projects across the control cycle.
Monitor market developments to inform pricing strategies.
Skills
Experience in general insurance pricing
Strong technical ability
Commercial mindset
SAS, R or Python experience
Experience with Emblem or Radar
Impactful pricing analysis
Experience leading projects
Coaching junior analysts
Education
Degree in Statistics, Mathematics, Actuarial Science or related discipline
Tools
SAS
R
Python
Job description
A leading consulting firm is seeking an Insurance Pricing, Data Science and Advanced Analytics Recruitment Specialist to shape pricing strategy at scale. The role involves developing predictive pricing models, delivering strategic analysis, and advising senior stakeholders. Candidates should have experience in general insurance pricing, strong technical skills, and familiarity with SAS, R, or Python. This position offers flexible working options, either full time or part time.