Government Statistical Service (GSS) is looking for Data Scientists in UK

About the role
Joining the Government Statistical Service (GSS) as a Data Scientist in one of our UK locations, you’ll play a pivotal role in UK government decision making. Working with a range of government departments, agencies and other public bodies, you’ll make a difference with data in areas that really matter, from education, health and the welfare system, through to transport and the environment.

With access to a variety of data sources, from government systems to big data, you’ll help government to identify, understand and ultimately solve key challenges faced by today’s society. Using advanced statistical and data science techniques, you’ll use your knowledge, curiosity and enthusiasm to produce innovative data and clear, coherent analysis. This is an incredible opportunity to help shape the direction of Data Science within the government. Not only will your work contribute to press articles and media headlines, you’ll also tell compelling, evidence-based stories about the UK. The advice and data-driven insight you produce, on people and places of the UK, will make a real difference to products and services, and have a direct impact on key decisions regarding social and economic issues.

Candidates will typically start on the minimum salary. Minimum starting salary will depend on departments and grade candidates are allocated to.

About you
You'll be a graduate or post-graduate with a minimum 2.2 degree (or equivalent qualification) in a numerate, computer science, IT discipline or similar or you will be in the process of completing an MsC in Data Science/Data Analytics. Highly analytical, you’ll have hands-on experience of your degree discipline, whether that’s in data methods and management, programming or online publication tools. You’ll also need to meet at least two of the four job specific criteria below

1. Experience of programming skills, for example – data extraction, manipulation, analysis and presentation using functional or procedural approaches in a commonly used language such as C#, F#, Python or Java.

2. Experience of scripting and applied use of statistical computing environments such as R, SAS, SPSS, Mathematical or equivalent.

3. Experience of big data technologies such as NoSQL systems, Hadoop or equivalent.

4. Experience of using core statistical skills for exploratory data analysis, for example – principles of statistical inference, correlation and regression to model and understand relationships, data reduction methods including cluster analysis and factor analysis.

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