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A leading research institute in the UK seeks a Graduate Scientist passionate about data science and informatics. You will engage in diverse projects, working collaboratively to develop data frameworks and contribute to national challenges in multiple sectors. This two-year program offers rotations and exposure to real-world applications, enhancing your skills in a supportive environment dedicated to personal development and community engagement.
Are you interested in a career in scientific research? At NPL, we are looking for graduates with a real passion for tackling some of the biggest challenges in industry, energy, the environment, and healthcare to join our Informatics Group within the Data Science & AI Department. As the UK’s National Metrology Institute (NMI) we pledge that NPL will be a place to create a positive impact through the “science of measurement” nationally, internationally, and for your career.
The work conducted within the Data science & AI department responds to the national challenges of:
You will be working at our office within the University of Strathclyde campus to work on data focussed projects through practical and theory-based learning in the field of informatics by developing data quality frameworks, ontologies, and data models to support data used in complex systems.
As a Graduate Scientist on the two-year NPL Graduate Programme you will complete 2 or 3 project rotations within the Data Science & AI Department to ensure you are getting great exposure to the work and projects happening. These rotations are designed to cultivate a more comprehensive understanding of data science and the inter-relations between the Informatics Group and the Data Analytics & Modelling Group, and their respective roles in solving data focussed metrology challenges.
As a Graduate Scientist, you will have the chance to collaborate with a variety of teams which will help build and grow your network. You’ll be expected to use logical thinking skills for designing and following a work plan, alongside developing technical documents and authoring scientific publications. You’ll have the opportunity to get involved with building data infrastructure for complex data application areas such as: medical device readings, satellite imagery, or advanced manufacturing instrument readings, which may lead to developing and creating new software tools. Quality is a major part of our scientific delivery with our ISO accredited Quality Management System to help you produce accurate and repeatable results.
Occasional travel to our Teddington, Cambridge, and Huddersfield sites will be required to collaborate and engage with your colleagues within the Data Science & AI department, the wider graduate scientist cohort, further NPL based collaborators, and participate in training sessions. Additionally, we actively encourage and seek opportunities for our Graduate Scientists to engage with the wider scientific community at conferences and events both nationally and internationally.
You will also be involved in supporting our community benefit activities – this may be going to local schools, supporting community activities, or helping at large NPL events. We will provide you with the opportunity to be part of a caring and daring community that truly values you and your contribution.
Upon completion of the two-year Graduate Scientist programme, you will continue at NPL as a permanent Scientist, with a working knowledge of complementary areas. We will provide the space and support so you can be the best version of yourself, as well as the tools to navigate the different demands of our work. More information about Data Science can be found here.
To be successful in this Graduate Scientist role, you will have the following skills and qualifications:
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.