Salary: £33,000

Our client is a well-renowned local business who operate within the insurance industry.

In order to improve pricing together with customer and operational insight they are looking to hire a data scientist to work in their Hampton office. It is important that the successful candidates have the initiative and drive to generate commercial pricing opportunities based on available data.

Principal Responsibilities:

  • Analyse large, complex internet and pricing data-sets to reveal underlying patterns, correlations and trends.
  • Have enough financial knowledge to estimate overall impact of different pricing strategies.
  • Drive development of statistical techniques and machine learning techniques to model customer behaviour and preferences.
  • Set up and conduct experiments to test hypotheses and drive insurance product development.
  • Leverage quantitative techniques to answer non-routine business problems.
  • Integrate with the existing business intelligence team.

Candidate Requirements:

  • Commercial mind-set and keen interest in insurance industry pricing trends.
  • Solid previous experience in solving large analytical problems using statistical, machine learning or other quantitative methods.
  • Bachelors Degree or PhD in Engineering, Mathematics, Computer Science or similar quantitative discipline. Advanced degrees preferred.
  • Equally comfortable with implementing algorithms as well as performing ad-hoc analysis and deriving insight.
  • Solid programming skills (e.g. R, Python, C++, C#, Java), and fluency in SQL.
  • Experience working with large datasets and distributed computing (Hadoop, Spark, Mahout, NoSQL, Hive, Pig) or the ability to learn these quickly.
  • Excellent team working attitude with the ability to work proactively under own initiative in a fast paced environment.

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