LEAD PRICING SCIENTIST, 30015

The Emerald Group Ltd, Search and Selection

Reading

On-site

GBP 70,000 - 110,000

Full time

25 hours ago
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Job summary

The Emerald Group Ltd, Search and Selection is seeking a Pricing Science lead in Reading to develop pricing models and deliver commercial insights that drive profitable growth. You will collaborate across Distribution, Proposition, Operations, Data and Technology teams to evolve pricing solutions with robust governance.

You will own end-to-end repricing, refine methodologies and segmentation, and translate analytical findings into actionable pricing decisions for UK markets.

Qualifications

  • Degree in a quantitative discipline is required.
  • Actuarial qualification or equivalent experience advantageous.

Responsibilities

  • Lead development of pricing science capability and pricing models.
  • Deliver commercial insights and identify opportunities to improve pricing sophistication.
  • Own the end-to-end repricing process with governance and controls.
  • Maintain and enhance pricing methodologies, assumptions and segmentation frameworks.
  • Provide pricing recommendations that align with commercial objectives.

Skills

Pricing analytics
Analytical thinking
Stakeholder communication
Modeling

Education

Quantitative degree (Data Science, Statistics, Mathematics, Actuarial Science, Economics or Computer Science)

Tools

R
Python
SQL
Machine learning

Job description

Overview

Key responsibilities, including but not limited to:

Overview

Key responsibilities, including but not limited to:

Working closely with colleagues across Distribution, Proposition, Operations, Data and Technology teams, you will lead the development of pricing science capability. You will develop and enhance pricing models, deliver commercial insights, identify opportunities to improve pricing sophistication and automation, and support the evolution of next-generation pricing solutions while maintaining robust governance and controls

You will lead the development and optimisation of pricing across portfolio’s

Own the end-to-end repricing process, balancing competitiveness, customer outcomes and profitable growth

Maintain and enhance pricing methodologies, assumptions and segmentation frameworks

Provide pricing recommendations that support commercial objectives and strategic priorities

Qualifications Required

Degree-qualified in a quantitative discipline (e.g. Data Science, Statistics, Mathematics, Actuarial Science, Economics or Computer Science); actuarial qualification or equivalent professional experience would be advantageous

Experience Required

  • Significant experience in pricing, data science, actuarial, analytics or a similar commercially focused role within insurance or financial services
  • Strong pricing and analytical expertise, ideally within the UK protection or life insurance market
  • Advanced modelling and programming capability, including experience with R, Python, SQL, machine learning and predictive analytics
  • Proven ability to translate complex analytical insights into commercial recommendations and pricing decisions
  • Experience developing pricing, risk, propensity or optimisation models and working with large, complex datasets

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