Role Overview
The Department of Data Science and AI is seeking a researcher to contribute to projects across national challenges such as life science, health, climate, and environmental sciences. The role involves developing new collaborations with NPL, government, industry, and academia, and applying advanced mathematical modelling to statistical inference, machine learning, and AI estimation methods.
Responsibilities
As a data scientist, you will: design and implement mathematical models; develop and evaluate inference, ML, and AI techniques; write reports and conduct literature reviews; collaborate cross‑disciplinarily with team members and external partners; and contribute to the scientific community through sharing knowledge and insights.
Essential Experience
- Advanced knowledge in at least one area of mathematical modelling (e.g., stochastic processes, differential geometry, topology) and associated estimation methods.
- Eagerness to learn about different types of models.
- Experience in mathematical modelling and/or data analysis.
- Interest in theoretical guarantees for estimation methods and their applications.
- A PhD in a relevant subject or significant relevant working experience, such as Mathematics, Statistics, or a related degree with a strong statistical analysis background.
- Programming experience in Python and/or MATLAB, with an eagerness to work with an imperative programming language.
- Confidence in report writing and literature review.
- Experience working in a cross‑disciplinary environment.
- Strong problem‑solving skills.
Desirable Experience
- Experience in environmental and climate science, or health.
- Understanding or willingness to learn uncertainty quantification in complex systems.
- Experience with object‑oriented programming and continuous integration / continuous development software development frameworks including unit testing.
- Experience with assurance testing.
Location and Working Arrangements
The role is based in Teddington, with the possibility of working from the Cambridge location. We operate in a hybrid model that combines remote and office work, offering full‑time, part‑time, or flexible options where business needs permit.
Equal Opportunity Employer
NPL and DSIT have strong commitments to diversity and equality of opportunity and welcome applications from candidates irrespective of their background, gender, race, sexual orientation, religion, or age, provided they meet the required criteria. Applications from women, disabled and black, Asian and minority ethnic candidates in particular are encouraged. All disabled candidates as defined by the Equality Act 2010 who satisfy the minimum criteria for the role will be guaranteed an interview under the Disability Confident Scheme.
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