At a Glance
- Tasks: Design and implement mathematical models to tackle national challenges in health and climate.
- Company: Join a leading research department focused on data science and AI innovations.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with a commitment to equal opportunities.
- Why this job: Make a real impact by solving pressing global issues with cutting-edge technology.
- Qualifications: PhD or relevant experience in Mathematics, Statistics, or related fields required.
The predicted salary is between 50000 - 70000 £ per year.
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
- 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.
- 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.
Data Scientist employer: National Physical Laboratory (NPL)
At NPL, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the fields of data science and AI. Our commitment to employee growth is evident through our hybrid working model, which allows for flexibility in work arrangements, and our dedication to diversity ensures that all voices are heard and valued. Join us in Teddington, where you can contribute to impactful projects addressing national challenges while advancing your career in a supportive environment.
Contact Details:
National Physical Laboratory (NPL) Recruitment Team
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