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Senior Data Scientist

SC Cleared Data Scientist experienced in Python, Google Cloud Platform and building GUIs.


  • Data engineering - such as the design of algorithms, implementation of cloud-hosted solutions, multi-core/distributed processing, SQL and datalike systems, statistical analysis languages and tooling

  • Software engineering - software installation and distribution, algorithm and implementation optimisation, design for maintainability (SOLID), Continuous Integration/Continuous Delivery, implementation of user interfaces, user requirements capture and the software lifecycle

  • Data management/curation - such as the manipulation and analysis of complex, high-volume and high-dimensionality data, distributed processing, relational and non-relational databases, cloud storage and data management, interoperability and standardisation for data, metadata management

  • Storytelling and data visualisation - including the visualisation of insights drawn from data and the building of data driven products

  • SyOPs and GitHub training will be mandatory before access can be given to collaboration tools

  • SC Clearance


  • A portfolio of open-source projects and contributions

  • Any other tools, techniques or programming languages, e.g. Apache Spark, Docker, Kubernetes, Bash

  • Data analytics - such as supervised and unsupervised machine learning, natural language processing, geospatial analysis, econometrics and regression, microdata, and causal inference