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Pricing Data Scientist

ExperiencedNo visa sponsorship
McGregor Boyall logo

at McGregor Boyall

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Posted 9 days ago

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This employer did not include a short summary.

Compensation
Up to £60,000 GBP

Currency: £ (GBP)

City
Brighton
Country
United Kingdom

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    Pricing Data Scientist

    Apply Now Applied, View Status
    Apply Now
    BBBH170150_1781098937 Posted: 10/06/2026
    • Up to 60000.00 per annum
    • Brighton, East Sussex
    • Permanent


    Pricing Data Scientist
    Protection Insurance
    Location: Fully Remote (optional offices in Brighton or Cambridgeshire)
    Contract: 12-Month Fixed-Term Contract - very likely to go permanent afterwards
    Salary: Up to 60k

    The Role

    • Joining a well-established Protection Insurance provider, you'll play a key role in shaping pricing strategy through advanced analytics, machine learning and predictive modelling.
    • This is a highly commercial role, sitting at the intersection of Data Science, Pricing and Insurance. You'll design and deploy models that influence trading performance, customer outcomes and strategic decision-making across a range of protection products.
    • The business is open to both Pricing Data Scientists and candidates with an Actuarial background, making this an excellent opportunity for someone looking to apply advanced modelling techniques to real-world commercial challenges.


    Key Responsibilities

    • Build and deploy pricing, demand, lapse, cross-sell and optimisation models
    • Lead strategic pricing initiatives and deliver tactical solutions to support business performance
    • Partner with Product, Protection and Distribution teams to drive pricing improvements
    • Apply machine learning and statistical techniques to solve complex business problems
    • Communicate technical insights to both technical and non-technical stakeholders


    Key Requirements

    • Experience within Insurance Pricing
    • Strong Machine Learning and predictive modelling experience
    • Python skills
    • Strong statistical and mathematical knowledge (GLMs, regression, hypothesis testing, time-series etc.)
    • Understanding of customer behaviour, pricing elasticity and price optimisation
    • Protection Insurance experience preferred (Term Assurance, Critical Illness or Income Protection)
    • Strong communication and stakeholder management skills



    No sponsorship available.

    Get in touch for more details - ncarolan@mcgregor-boyall.com

    McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

    Nathan Carolan
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    Pricing Data Scientist

    Compensation

    Up to £60,000 GBP

    City: Brighton

    Country: United Kingdom

    McGregor Boyall logo
    Recruitment Agencies

    9 days ago

    No clicks

    at McGregor Boyall

    ExperiencedNo visa sponsorship

    This employer did not include a short summary.

    Full Job Description

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    Pricing Data Scientist

    Apply Now Applied, View Status
    Apply Now
    BBBH170150_1781098937 Posted: 10/06/2026
    • Up to 60000.00 per annum
    • Brighton, East Sussex
    • Permanent


    Pricing Data Scientist
    Protection Insurance
    Location: Fully Remote (optional offices in Brighton or Cambridgeshire)
    Contract: 12-Month Fixed-Term Contract - very likely to go permanent afterwards
    Salary: Up to 60k

    The Role

    • Joining a well-established Protection Insurance provider, you'll play a key role in shaping pricing strategy through advanced analytics, machine learning and predictive modelling.
    • This is a highly commercial role, sitting at the intersection of Data Science, Pricing and Insurance. You'll design and deploy models that influence trading performance, customer outcomes and strategic decision-making across a range of protection products.
    • The business is open to both Pricing Data Scientists and candidates with an Actuarial background, making this an excellent opportunity for someone looking to apply advanced modelling techniques to real-world commercial challenges.


    Key Responsibilities

    • Build and deploy pricing, demand, lapse, cross-sell and optimisation models
    • Lead strategic pricing initiatives and deliver tactical solutions to support business performance
    • Partner with Product, Protection and Distribution teams to drive pricing improvements
    • Apply machine learning and statistical techniques to solve complex business problems
    • Communicate technical insights to both technical and non-technical stakeholders


    Key Requirements

    • Experience within Insurance Pricing
    • Strong Machine Learning and predictive modelling experience
    • Python skills
    • Strong statistical and mathematical knowledge (GLMs, regression, hypothesis testing, time-series etc.)
    • Understanding of customer behaviour, pricing elasticity and price optimisation
    • Protection Insurance experience preferred (Term Assurance, Critical Illness or Income Protection)
    • Strong communication and stakeholder management skills



    No sponsorship available.

    Get in touch for more details - ncarolan@mcgregor-boyall.com

    McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

    Nathan Carolan
    Add to shortlist
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