Senior Data Scientists

  • Salary: Competitive
  • Job Status: Full-Time
  • Date: 1 week ago

You'll be working within the centre of excellence of a hub-and-spoke data science model, the role will involve collaborating with different communities to understand the difficulties they currently face and identify areas for improvement. This will lead you to develop new analytics use cases for the team to deliver. You will be working collaboratively with the data engineering teams and business stakeholders to understand the data we have available and how it can be used to support use case delivery. You will be working within the Agile framework to create machine learning/statistical models using a variety of tools with the aim of delivering implementable solutions for the business.

The data you use will be varied and multi-faceted, and the insights you generate along the way will prove invaluable. We are constantly looking to utilise more varied structured, semi-structured and unstructured data sources to bring additional dimensions and considerations into our analysis, and a key part of your role will be seeking out those sources and spotting opportunities to drive value.

Candidate Profile

We're looking for data scientists to join a team of people passionate about innovating and driving value from data. You'll have the opportunity to create solutions to solve some of the most challenging business problems across the organisation, support data-driven decision making and bring real value. We are aiming to generate actionable machine learning models and intelligent insight.

  • Be a fluent communicator at explaining model choice and implementations.
  • Be experienced with databases and using SQL as well as processing unstructured data
  • Have expertise using Python/R
  • Have a Master's or PhD in maths, statistics, computer science, physics or another related field.
  • Have knowledge of linear algebra, high order statistics and machine learning algorithms such as Support Vector Machines, Random Forest, Artificial Neural Networks...
  • Hadoop, PySpark, Natural Language Processing or Deep Learning experience would be beneficial
  • Experience interpreting outputs of models and building visualizations to depict your interpretations
  • Have completed end to end analytical pieces of work, bringing the output to life through compelling story telling to ensure business adoption.
  • Be innovative, creative and agile, developing and championing new ideas.

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