Data Scientist / Information Architect
This job has now expired please search on the home page to find live IT Jobs.
About the Role
NPL is the UK`s National Measurement Institute providing the measurement expertise that underpins UK prosperity and quality of life. We are a world-leading research facility, bringing together scientists and engineers from almost every field to help save lives, protect the environment and enable citizens to feel safe and secure as well as support global trade and innovation.
We are investing in Data Science to address scientific challenges relating to applications in Advanced Manufacturing, Energy & Environment, and Life Sciences & Health in line with significant organisational growth and transformation plans.
The Data Science team is looking for Data Scientists/Information Architects to bring best practice from software development into the scientific data management and to drive the Scientific Digital Transformation program. You will be developing architectures, protocols and software tools to promote the FAIR principles (making data findable, accessible, inter-operable and reusable) and enable knowledge representation and reasoning across all sectors and research areas.
Based at NPL's Cambridge hub and will require spending several days per month at the main NPL site in Teddington.
NPL Cambridge is based in the Maxwell Centre in the West Cambridge University site. The Centre is a state-of-the-art industry and academia collaboration hub located in the midst of the West Cambridge Site in a pleasant countryside setting within a walking distance of the city centre. The West Site comprises multiple university departments, and provides several cafes, a modern sport centre, and a well-developed cycling and public transport infrastructure.
Minimum skills and experience:
Degree/PhD in relevant subject such as Mathematics, Computer Science, Physics etc
At least two years of software development experience in industry or academic environments.
Development of methods and software for knowledge management and information processing.
Scientific software development in multi-disciplinary environment.
In-depth knowledge of at least one high level language such as Python, Java, C++, etc.
Desirable skills and experience:
Addressing data quality challenges in real life scenarios.
Formal knowledge representation and ontologies.
Interest in cloud-based systems and object store technology.
Relational and non-relational databases.
Object-oriented analysis and design, class modelling, UML.
Promoting Good Practice to Industry or Academia in formal and informal arenas
About The Company
We're transforming. As a national laboratory, we're exploring even more commercial routes to market and that's presenting us with greater opportunity - for you and us. Our success relies on the diversity and talent of our people, we strive to nurture and respect individuals to ensure everyone feels valued and supported to excel in their chosen field. This value is at the core of our organisation.
We believe in a culture of fairness by treating everyone on the basis of their own individual merits and abilities regardless of their own or perceived identity, background or any other factor irrelevant to a person's work. At NPL we are committed to the health and well-being of our employees. Flexible working and social activities are embedded in our culture to create a positive work-life balance, along with a broad range of benefits. NPL's values are at the heart of what we do and they shape the way we interact, develop our people and celebrate success.
As part of our commitment to diversity & inclusion, we signed up to the Institute of Physics' Project Juno in 2015 as a Juno Supporter. NPL were proud to be awarded Juno Practitioner status in 2018. NPL also joined Stonewall as a Diversity champion in 2015, participating in their annual Workplace Equality Index for the equality of LGBT+ community at NPL. In 2018, NPL became a member of the Business Disability Forum and joined the disability confident scheme as level 1 committed employer.
To ensure everyone has an equal chance, we're always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please contact us.
End Date: 16th Aug 2019