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Lead Data Scientist at Northrop Grumman UK Limited (Cheltenham, UK)

Are you an experienced Data Science who wants to join a leading Data Science team within an evolving and dynamic organisation?

Due to the success of a number of strategic Gloucestershire based programmes, we are growing our Data Science team with creative and ambitious Data Scientists and Machine Learning Engineers. With a primary focus on applying data science and machine learning to deliver digital transformation for our customers, your experience will cover different machine learning and data science technologies within an agile environment.

Our solutions support complex analysis of substantial amounts of data, requiring state of the art ‘big data’, stream processing and cloud-based analytics, identifying and using ‘best of breed’ commercial and open source technologies and integrating them with our own software to meet customer needs quickly and efficiently.

How you will make a difference

For us, innovation is key and we have immediate opportunities for talented data scientists to join our team.  We want you to help us apply data science and machine learning to transform the way our customers do business.  We want to apply the latest developments in data science and machine learning, and to take technical risks – if the potential payoff is transformative.  We are in a phase of rapid growth and there are opportunities to develop your career with us to meet your aspirations.

You will be helping us to solve our customer’s problems within an agile team.  You will have opportunities across a range of data science and machine learning projects: from R&D to large-scale production deployment; from forecasting and decision trees to the latest developments in deep learning.

As a Lead Data Scientist you will have had responsibility for the design and delivery of data science and machine learning projects; supporting business development; and working with customers.

Key criteria required...

  • Experience of technically leading the design and delivery of data science and machine learning solutions that transform ways of working and deliver measurable benefit

  • Experience of taking a project from an initial concept through to deployment in a production system

  • Experience of championing innovation in data science team and machine learning

  • A deep technical background in machine learning and data science

  • Experience of using open source machine learning algorithms

  • Experience of mentoring more junior colleagues

  • Experience of modern software engineering practices, such as SCRUM/Agile, micro-services and containerisation (including Docker and Kubernetes) etc.

  • an MSc or PhD in a numeric field (Mathematics, Statistics, Computing)

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