Data Scientist

We’re expanding our offering for an in-house Data Scientist, ideally with a consultancy background, to meet the demands of a growing portfolio of new and exciting projects. The data science team are part of the delivery consulting team, delivering a data science consulting offering across a wide portfolio of clients and services. As such, we are working on a broad spectrum of activities, ranging from algorithms development, data analysis and software development support.

As an equal opportunity employer we recognise the value of an inclusive workforce and particularly encourage applicants from a diverse range of backgrounds.

What you’ll be doing:

  • Data analysis using either an exploratory or hypothesis-driven approaches
  • Predictive modelling using machine learning techniques such as generalised linear models and Bayesian inference, and Deep Learning
  • Work side-by-side with clients to provide bespoke data science consultations
  • Contribute to the development, and ongoing improvement of our in house platforms
  • Provide data science expertise and support as required to the wider organisation

What we’re looking for:

  • Strong related academic background i.e. Masters level degree in a numerate subject, preferably data science
  • Theoretical knowledge of classical statistical methods, bayesian learning, and neural networks, and its application to machine learning techniques
  • Strong Python/R experience
  • Demonstrable experience with RStudio or Jupyter notebooks
  • Keen to utilise up-to-date software development practices
  • Good communications skills, verbal and written
  • Self-starter, happy to work alone or as part of a team
  • Willing to occasionally work off-site at supplier or customer sites

It would be a bonus if you had:

  • A background in Consultancy
  • Experience with Tensor Flow
  • Experience of Hadoop
  • Experience with high level software language such as Scala, Java or C#
  • Experience of working in an Agile development environment
  • Experience of utilising a continuous integration approach to software development
  • Experience of software containers e.g. Docker
  • Comfortable working with different data science tools

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