Data Scientist - Pricing

Location: London

*** Mention DataYoshi when applying ***

Data Scientist - Pricing

Up to £80,000


Are you an experienced data scientist looking to work on various different pricing projects for a global financial services company?


As a Data Scientist, you will work for a leading, globally insurance company in their pricing team. They provide insurance to millions of people globally and have a mission to enhance and protect people and encourage them to live healthier happier lives.


The role of Data Scientist will work in the innovative data science team, reporting directly into the Head of Pricing. This business area is in the growth stage and backed by internal investment.

In specific, you can expect to be involved in the following:

  • You will build statistical models in Python that have real business impact and application
  • You will build pricing models and implement to production in areas such as lifetime value, market price, customer conversion
  • You will enhance and optimise existing framework
  • You will be liaising and interacting with stakeholders to explain analysis, findings and advise on practice
  • You will use Python, R, SQL, Prophet, Moses, Earnix, Radar
  • You will work across business with other analytics teams to share insights


The successful Data Scientist will have the following skills and experience:

  • Experience developing, implementing and deploying machine learning models
  • Excellent communication skills and ability to express how data science can add value
  • Educated to Masters degree in a STEM subject (Mathematics, Statistics, Computer Science)
  • Proven commercial experience working as a data scientist in financial services or insurance
  • Python, R, SQL, Prophet, Moses, Earnix, Radar


The successful Data Scientist will receive a salary, dependent on experience of up to £80,000 and a generous benefits package.


Please register your interest by sending your CV to Francesca Curtis via the Apply link on this page.

*** Mention DataYoshi when applying ***

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