Data Scientist - Machine Learning / Python - Banking

  • 550-650
  • Londres, Angleterre, Royaume-Uni Londres Angleterre GB
  • Intérim, Plein-temps
  • Vertus Partners
  • 11 juin 18 2018-06-11

My client is looking to hire a Data Scientist for a long term programme of work. The role will be working on a new programme to greatly improve the ability to quickly forecast and produce consistent and accurate data across all levels of the organisation. This will involve working closely with a variety of fragmented systems across a range of locations and looking at ways to reduce reliance on manual processes and continuously striving for best practice. In support of this there is a need to develop various Machine Learning algorithms to identify automated ways of producing predictive analytics.

Data Scientist - Machine Learning / Python – Banking

My client a global Bank is looking to hire a Data Scientist for a long term programme of work.

The role will be working on a new programme to greatly improve the ability to quickly forecast and produce consistent and accurate data across all levels of the organisation.  This will involve working closely with a variety of fragmented systems across a range of locations and looking at ways to reduce reliance on manual processes and continuously striving for best practice.  In support of this there is a need to develop various Machine Learning algorithms to identify automated ways of producing predictive analytics.

 

Candidates will need:   

  • Strong Data Science background (including Regression, Classification & Regression Trees and Clustering)
  • Proven track record producing and implementing Machine Learning models into production to improve business processes
  • Good commercial coding experience with Python data science stack (Pandas, Jupyter and Scikit-Learn)
  • Exposure to Hadoop and PySpark Big Data tooling
  • Any financial modelling experience across Risk, Trading or Financial Planning would be beneficial
  • Awareness of technological advances to ensure boundaries are constantly being expanded