Data Scientist

  • £50-80k DOE
  • London, England, United Kingdom London England GB
  • Permanent, Full time
  • The M-Wek Company
  • 06 Apr 18 2018-04-06

M-Wek is sourcing a Data Scientist for an opportunity reporting directly into the Global Head of Data Science at an Investment Bank. This brand new team (Data Science & Big Data) has been tasked with numerous major initiatives including building out machine learning, AI and engineering capabilities.

We have an opportunity reporting directly into the Global Head of Data Science at an Investment Bank. This brand new team (Data Science & Big Data) has been tasked with numerous major initiatives including building out machine learning, AI and engineering capabilities.

It’s a truly exciting time for them as they build (for the first time ever) a reusable data set; creating data solutions that have never existed in the Bank and investigating innovative, new data combinations. The results will provide business critical insights and is a key investment initiative for the bank.  

The business is excited to present this opportunity to join a new data science business at genesis working with rich, untapped data (from a truly global organisation), building something from scratch. Their mission is to transform data and solve complex problems through cutting edge technology.  

You will focus on the provision and guidance of implementing data science strategy and prioritising the bank’s challenges using various analytics principles. You will deliver business benefit through analytical solutions, models, dashboards and reports within the target operating model for data science.  

My client is looking for (well, as many as possible!) of the following:

• Graduates who have studies Machine Learning, Statistics, Computer Science – or a similar scientific subjects or experience

•     Understanding of theoretical grounds for machine learning and mathematical frameworks

•     Programming skills – Python, C++, R or Matlab

•      Knowledge of – Hive, H2O, SparkMLLib or Hadoop

•      A real passion for data!