Data Scientist job in Glasgow at Home Office

Data Scientist

Company: Home Office

Location: Croydon UK

Date Posted:Dec 02, 2016

Role Purpose A Senior Data Scientist with strong SAS coding skills to work in Home Office Security. The role, using the latest software available, will be to provide analytical evidence in support of criminal investigations against those committing fraudulent activities within the Home Office. The successful person must have the technical specialisms listed in this job specification to apply for this post. Key Duties and Responsibilities Using applications such as SAS and the ability to write VBA the jobholder will be required to: •             Have the ability to produce scripts to enable loading data from one application to another. •             Analyse problems & experimenting with possible solutions & go beyond routine questioning to find the underlying causes of problems or discrepancies to identify problems and develop sound solutions. •             Design, build and deliver analytical reports upon request and to be solely responsible for the output provided and be prepared to sign witness statements to that affect. •             Develop, test and undertake large scale data matching when requested on extracts of data supplied. •             To provide technical expertise and quality review project work documentation to ensure proposals and recommendations are complete and that costing’s fair. •             Attendance at court as expert witness. Skills and Experience Essential: •             An academic background (minimum 2:2 degree) in a numerate discipline – like Maths, Physics, or Computer Science – with postgraduate level training an advantage but not essential. •             Experience of the following technologies: SAS / SAS BASE, VBA. •             A strong understanding of the principles behind the design and development of data warehouses and data marts. •             Specialist knowledge of database concepts, object and data modelling techniques and design principles, and a detailed knowledge of the full range of database architectures, software and facilities available. •             Experience of developing and delivering analytics products. •             Technical versatility and a desire to pick up new tools relevant to the problem at hand, be it data processing, analysis, or visualisation. •             Recognises potential strategic application of IT, and initiates investigation and development of innovative methods of exploiting IT assets, to the benefit of organisations and the community. •             A strong grasp of Quality Assurance for analytical products. •             Good stakeholder management skills. •             Strong and effective verbal, written, and interpersonal communication skills with the ability to present complex ideas simply to technical and non-technical audiences. •             Strong analytical and technical experience and skills – see competencies below: Standards for Data Scientist Analytical / Statistical Competency •             Can explain statistical concepts to a lay person, including the conclusions that can be drawn from statistical analysis and appropriateness of different approaches for particular scenarios. •             Can explain and justify choices of innovative analytical techniques, presenting these as stories intuitive to their audience. Including explaining implementation details and the advantages / limitations of a technique. •             Some knowledge / experience of applying a range of advanced analysis / machine learning techniques. Techniques might include decision trees, natural language processing, unsupervised learning, regression, deep learning / neural networks, data visualisation, kernel methods, significance testing, principal component analysis, feature selection, analysis of variance, time series, forecasting etc. •             For some of these techniques: detailed knowledge of the analytical underpinnings and/or experience of delivering substantial analytical products working on large / complex data sets. Standards for Data Scientist Technical / Programming Competency •             Understands various technical aspects of programming and can explain these to a lay person. •             Provides evidence of working independently to solve problems / deliver products using appropriate programming methods and tools. •             Some knowledge / experience of a range of programming practices used in data science settings. Practices might include version control, containerisation, vector operations, web development, considering numerical stability of algorithms, data transfer, distributed computing, Python / R and the principal data science / machine learning libraries, developing pipelines / libraries for reuse. •             Evidence of employing some of these practices to design & deliver substantial products that delivers value for end customer, and ability to justify implementation choices. Desirable: •             SQL/Oracle deployments (incl. SQL Developer and SQLPLUS – Oracle 10.2g and 11g), basic HTML/XML/XSL, Apache Tomcat, basic Java, R, Python and some knowledge of server administration. •             Home Office Business Knowledge. •             Previous experience of working in a statistical team or experience of providing management information to senior management or operational areas. •             Experience of unit testing, regression testing and other quality assurance techniques. Professional affiliation Data Scientists in the Home Office are affiliated to a Government Profession. This might be the Government Operational Research Service (GORS), Government Statistical Service (GSS) or the Government Digital, Data and Technology Profession (GDS). Civil Servants who are currently a member of one of these professions will retain their professional membership in this role (applicants on promotion will be assessed for promotion within profession as part of the selection process). Please make any current affiliation clear in your application. External candidates or civil servants without a current affiliation may be considered for accreditation to one of the professions as part of the recruitment process. Alternatively, posts may be offered on a generalist basis, with successful applicants being supported in applying for membership of an appropriate profession (sometimes referred to as badging) within 12 months of taking up a post.For further information and details of how to apply please visit the Civil Service Website View full job description
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