Pricing Data Scientist: Real-Time Models & Business Impact

Marshmallow

Greater London

Hybrid

GBP 75.000 - 120.000

Vollzeit

Vor 12 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Bonus scheme designed to reward high性能
Private medical insurance with Vitaliy
Mental health support with Oliva
Personal learning budget and 2 L&Ddays
Monthly flexible benefits budget
25 days holiday plus bank holidays
4 weeks Work From Anywhere per year

Zusammenfassung

Marshmallow is seeking a pricing data scientist in London to work within the Pricing Team, delivering rapid pricing innovations and data-driven insights across quotes, policies and claims. You’ll own strategic pricing initiatives and collaborate with Engineering & MLENG to deploy models via APIs.

Expect to build GLMs/GBMs in Python/R, work with large datasets, and influence real-world pricing decisions with a commercial, proactive mindset.

Qualifikationen

  • Interrogate data and pricing analysis using SQL and Python/R.
  • Build GLMs, GBMs and other claims models using Python/R.
  • Experience in data-driven roles (quant, credit, fraud).

Aufgaben

  • Develop pricing insights from quote, policy and claims data to improve pricing.
  • Own strategic pricing initiatives such as expansion plans or protecting renewals.
  • Conduct claims analysis and modelling using SQL and Python.
  • Perform price optimisation analysis/modelling using Python.
  • Build and deploy models in APIs for real-time pricing.
  • Identify external data sources to refine claims risk and quantify value.
  • Work with Engineering & MLENG to implement pricing proposals.
  • Provide pricing support for launches of new products.

Jobbeschreibung

Marshmallow is seeking a pricing data scientist in London to work within the Pricing Team, delivering rapid pricing innovations and data-driven insights across quotes, policies and claims. You’ll own strategic pricing initiatives and collaborate with Engineering & MLENG to deploy models via APIs.

Expect to build GLMs/GBMs in Python/R, work with large datasets, and influence real-world pricing decisions with a commercial, proactive mindset.

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