Senior Pricing Data Scientist – Market & Conversion Modeling

Homeprotect Home Insurance

Greater London

Hybrid

GBP 60,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Private health care (BUPA)
Annual bonus up to 30%
Life insurance 4x salary
Pension with Aegon
Staff discount on Homeprotect
Staff referral bonus
Flexible working
25 days annual leave + bank holidays

Job summary

Homeprotect is seeking a data-driven pricing professional to lead the development and optimization of pricing strategies in personal lines insurance. You will own modelling for conversion rate and market dynamics, using a custom Python-based pricing system to test ideas and maximise profitability.

You will work closely with the Trading team to refine market positions, and apply advanced statistical methods and ML practices to improve decision-making.

Qualifications

  • 4+ years experience in personal lines insurance pricing.
  • Specialism in conversion rate modelling and market modelling is desirable.
  • Knowledge of market dynamics and elasticity is essential.
  • High quality numerate degree (Maths, Data Science, Physics, Engineering).
  • Understanding of statistics and machine learning best practices.
  • Proficient using Python and its data science ecosystem for data manipulation, visualization and modelling.
  • Excellent data manipulation and reporting skills using SQL and MS Excel.
  • Strong problem-solving skills with pragmatic solutions.

Responsibilities

  • Be instrumental to growth by developing and optimising pricing strategies using data.
  • Collaborate closely with the Trading team to improve market positions.
  • Develop, test and analyse pricing models in Python to drive profitability and share.

Skills

Conversion rate modelling
Market modelling
Python
SQL
Excel
Statistics
Data manipulation
Problem solving
Communication

Education

Mathematics/Data Science/Engineering degree

Tools

Python
SQL
Pandas/Scikit-learn

Job description

Homeprotect is seeking a data-driven pricing professional to lead the development and optimization of pricing strategies in personal lines insurance. You will own modelling for conversion rate and market dynamics, using a custom Python-based pricing system to test ideas and maximise profitability.

You will work closely with the Trading team to refine market positions, and apply advanced statistical methods and ML practices to improve decision-making.

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