Data Scientist

The Department of Data Science and AI is looking for a researcher to contribute to our work on a wide variety of projects across all national challenges including life science and health, and climate and environmental sciences 

Excitingly, this role offers scope to develop new collaborations across NPL, government, industry, and academia. You’ll enjoy developing, applying and sharing knowledge and skills with colleagues, collaborators, and the wider scientific community.  

We work in a hybrid way, with a mix of remote and office working. We strive to offer a great work life balance - if you are looking for full time, part time or flexible options, we will try to make this work where business possible. This will be dependent on the kind of role you do and part of the business you work in.

As Data Scientist, you will be covering mathematical modelling and its application to the development of statistical inference, machine learning, and AI estimation methods. 

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 as well as their applications. 

• A PhD in a relevant subject or significant relevant working experience, such as Mathematics, Statistics and/or other degree with a strong statistical analysis background.   

• Experience in coding in Python and/or MATLAB, and an eagerness to work with an imperative programming language. 

• Confidence in report writing and literature review. 

• Experience and eagerness of working in a cross-disciplinary environment. 

• Problem solving. 

Desirable experience: 

• Experience in any relevant area of environmental and climate science, and health. 

• An understanding/keenness to learn of uncertainty quantification in complicated systems. 

• Experience in object-oriented programming, and continuous integration / continuous development software development framework including unit testing. 

• Experience of any area of assurance testing. 

This role will be based in Teddington, but we can also accommodate staff in our Cambridge location .  

We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. 

Please note:  Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward.  We encourage all interested applicants to apply as soon as practical. 

The National Physical Laboratory (NPL) is a world-leading centre of excellence that provides cutting-edge measurement science, engineering and technology to underpin prosperity and quality of life in the UK. 

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, providing 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. 

At NPL, we believe our success is a result of the diversity and talent of our people. We strive to nurture and respect individuals to ensure everyone feels valued by treating everyone on the basis of their own individual merits and abilities regardless of their own or perceived identity, as part of our commitment to diversity & inclusion, we hold memberships and accreditations to ensure we’re creating an environment where all our colleagues feel supported and welcome, please see our Diversity & Inclusion page.

 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. Our values are at the heart of what we do, and they shape the way we interact, develop our people and celebrate success. 

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.