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Data Scientist

Posted: Posted 2 days ago

A Data Scientist role to support Research Statisticians with the entry/exit processes in analytical pipelines and to support the upskilling of Forest Research (FR) scientists in the use of open-source coding languages.

The Research Statistics team at FR work within the broader Information and Statistics group (part of IFOS – Inventory, forecasting and operational support) and provide statistical support to FR scientists and external stakeholders across the whole breadth of forest science at FR. There are three key functions of the Research Statistics team – providing technical skills (statistical analysis and presentation), quality assurance (for experimental designs, outputs) and knowledge exchange.

The purpose of this job is two-fold: firstly, to support the Research Statisticians with the entry/exit processes in their analytical pipelines (through employment of appropriate data cleaning and wrangling of raw experimental data, as well as presentation via multiple format types) and secondly, to support the upskilling of FR scientists in the use of open-source coding languages (predominantly R) for reproduceable, high quality, adaptable analytical outputs.

This Data Scientist role can be based at Alice Holt Lodge, Farnham, Surrey, GU10 4LH or the Northern Research Station, Roslin, EH25 9SY. Blended working gives you the option to work some of the week from home, and some from the workplace. Please be aware that this role can only be worked in the UK and not overseas. See further details about our locations via this link.

Forest Research (FR) is the research agency of the Forestry Commission. We are a world leader in applied forest science and also a trusted and recognised provider of expertise, data, products and services for governments and the tree, wood, forest and natural resource sectors.  Please explore www.forestresearch.gov.uk to find out further information about our organisation.

For further information about the role, and to apply, please click ‘Apply Now’ below.