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.
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