Senior Data Scientist

Location: Flexible     |     Position: Full Time     |     Salary: Competitive

About Xyenta

Xyenta is a Lloyd's and London Market insurance data technology solutions provider.


We are an IT partner to a FTSE 250 top London Market insurer, operating from development hubs in London, Manchester and Hyderabad.


Xyenta transforms processes through BI Technologies, AI tools, and system integration by connecting data directly to the point of consumption across finance, actuarial and regulatory processes.


Role Summary

Working closely with our Analysts and the client team you will develop proof of concepts and solutions using exciting new technology to resolve complex data challenges.


Responsibilities

  • Propose solutions to resolve complex business problems using data science techniques, including algorithmic, data mining and visualisation techniques
  • Build unified data platforms to enable analysis needed to create actionable insights

Skills and Experience

  • Strong statistical analysis skills
  • Experience of Python and Java
  • Experience working with big data technologies (e.g. Hadoop, SQL, Redshift)
  • Experience with Data science toolkits (e.g. TensorFlow, Spark MLlib, Scikit-learn, PyTorch)
  • Experience of working in cloud environments (AWS, Azure)
  • Experience with data visualisation tools (Tableau, PowerBI)
  • Financial services industry experience

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