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Data Science Trainer-Data Science Campus

Posted 3 October by Office for National Statistics Ended

Based at ONS headquarters, set in Tredegar Park between Newport and Cardiff in South Wales, the DataScience Campus is a new, purpose built centre for excellence that is playing a key role in developing the UK’s international presence and reputation in leading the data science agenda, and developing cutting-edge statistics and analytical techniques. As well as supporting ONS to apply new techniques to understand the UK’s economy and society, the Campus is a hub for government to gain practical advantage from the wider investment in data science research.

Following a successful start-up phase and formal launch of the Campus in March 2017, The Data Science Campus and the ONS Learning Academy are seeking to expand the current range of exciting and innovative capability building programmes. As part of this rapid expansion we are recruiting Data Science Trainers within both our Newport and Titchfield with a varied range of skills and experience.

As a Data Science Trainer you will have a passion for developing and delivering cutting edge data science training ranging from raising awareness to specialist level. You will work in partnership with colleagues in the Campus and the Learning Academy to design, commission and deliver learning to colleagues from a variety of backgrounds across the ONS, other government departments and external organisations.

As a Data Science Trainer, it is essential that you continuously develop and keep up to speed with rapidly evolving data science techniques. You will therefore spend 40% of your time carrying out data science research within the Campus and with data science teams across ONS . As part of your research responsibilities you will lead or work within multi-disciplinary delivery teams and collaborate with others in government, industry, academia and charities, both in the UK and internationally to design, build and improve new and existing digital products and platforms developed as part of the research activities within the Campus. To find out more about us and what we do, please visit or follow us on Twitter @DataSciCampus.

The Role

As a Data Science Trainer at ONS you will:

Design, deliver and evaluate data science courses ranging from introductory to specialist levels.

• Deliver research projects in one or more of the core Data Science Campus themes: the evolving economy, urban & rural, society, sustainability, and the UK in a global context. These projects are intended to push the boundaries of data science and to introduce new applications to Government.
• Support the data science community across ONS and Government.
• Work with external bodies such as industry partners, academia and charities, as well as within government.

Person specification

• A proven track record in designing and delivering technical courses to a range of audiences.
• Programming ability in R, Python or other data analysis relevant language(s).

Data Science is an intensely multidisciplinary practice with a continually evolving skill set. You should be able to demonstrate significant expertise in some or all of the following areas:
• Data analytics- such as artificial intelligence and machine learning, statistical modelling, pattern recognition, supervised and un-supervised learning, data mining, predictive analysis and natural language processing (NLP).
• Data management/curation- such as the manipulation and analysis of complex, high volume and high dimensionality data, data modelling (including semantic technologies), relational and non-relational databases, cloud storage and data management, interoperability and standardisation for data, metadata management.
• Data engineering - such as the design of algorithms, implementation of big data solutions, multi-core/distributed processing, SQL and noSQL database systems, statistical analysis languages and tooling.
• Story-telling and data visualisation - including the visualisation of insights drawn from data and building of data driven products.
• Scientific research methods - analytical, independent, critical and curious analysis of data, literature reviews.
• Systems engineering - applied to data/information/intelligence challenges in complex environments.


A minimum 2:1 in a numerical degree, e.g. data science, computer science, geospatial science, mathematics, statistics, physics, chemistry, engineering or another related technical subject. An MSc or PhD in a related subject is desirable.

We are also keen to hear from those with relevant work experience.

Required skills

  • Analytics
  • Mathematics
  • Statistics

Reference: 33450589

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