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Senior Pricing Data Scientist

JR United Kingdom

Slough

Hybrid

GBP 60,000 - 80,000

Full time

15 days ago

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Job summary

A leading InsurTech firm in Slough is seeking an experienced professional to lead conversion rate and market modelling within a growing team. This hybrid role involves using data-driven strategies to enhance pricing models and influence decision-making, requiring strong expertise in insurance analytics and model development.

Benefits

Competitive salary up to £80,000
Hybrid working
Holiday entitlement

Qualifications

  • 4 years + experience in the insurance analytics space.
  • Home insurance experience is ideal.

Responsibilities

  • Understand and analyse price elasticity and competitiveness in the market.
  • Lead the conversion rate model and market model development.

Skills

Model development in open-source software
Experience in insurance analytics

Job description

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LONDON, HYBRID WORKING (1 DAY PER WEEK IN THE OFFICE)

In this growth role, you’ll be working in a talented team and leading the conversion rate and market modelling function within the team, working on scaling an already fast-growing InsurTech.

THE COMPANY

This InsurTech is a data-driven and innovative organisation that leverages its advanced modelling techniques to provide specialist insurance products. You’ll be working in a close-knit team and joining at the beginning of their expansion.

THE ROLE

  • Understand and analyse price elasticity and competitiveness in the market, implementing enhancements to models where required.
  • Lead the conversion rate model and market model development, working across end-to-end modelling
  • Utilise price comparison data to influence strategic decision-making and model inputs

YOUR SKILLS AND EXPERIENCE

  • Experience developing models in open-source software
  • Home insurance experience is ideal
  • 4 years + experience in the insurance analytics space

THE BENEFITS

  • Competitive salary up to £80,000
  • Hybrid working (1 day in office per week)
  • Holiday entitlement

HOW TO APPLY

Please register your interest via the apply link on this page, or send your CV directly to [emailprotected]

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