Data Scientist
| Posting date: | 13 August 2025 |
|---|---|
| Hours: | Full time |
| Closing date: | 12 September 2025 |
| Location: | Teddington, South West London |
| Remote working: | Hybrid - work remotely up to 2 days per week |
| Company: | National Physical Laboratory |
| Job type: | Permanent |
| Job reference: |
Summary
About the Role
The Department of Data Science is looking for a researcher to contribute to our work on assurance for autonomous systems including Connected Autonomous Vehicles (CAV).
NPL has successfully completed a few projects in this area, comprehensive list of our capabilities can be found here https://www.npl.co.uk/digital/assuring-autonomous-systems.
As Data Scientist, you will collaborate as a team to develop innovative solutions to societal and National Challenges; including
Life Sciences & Health
Climate Science
Advanced Manufacturing
Security and resilience - NPL
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.
Please note, this role is known internally as 'Higher Scientist'
About You
As Data Scientist, you will be covering both the application of machine learning methods to specific problems, as well as general aspects of quality management, risk management, testing and assessment of machine learning algorithms and artificial intelligence (AI) systems that include machine learning.
Essential experience:
A degree in Mathematics, Statistics, Computer Science, or relevant science or engineering discipline.
A PhD in a relevant subject or significant relevant working experience
Experience in coding in Python and/or MATLAB.
Experience in mathematical modelling and/or data analysis.
Confidence in report writing and literature review.
Experience working in a cross-disciplinary environment
Desirable experience:
Experience of research in any area of autonomous systems.
Uncertainty quantification.
Experience of operating and building Virtual Test Environments or Simulators e.g.
packages such as CARLA.
Experience in object tracking or mapping software.
Knowledge of systems engineering test and evaluation principles (Validation and Verification processes)
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. To work at NPL, you will need to obtain BPSS security clearance.
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.
About Us
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. Find out more about what it is like working here - The measure of us - Overview
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 ensure we’re creating an environment where all our colleagues feel supported and welcome. More about this on 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 rewards, benefits and recognition. 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.
The Department of Data Science is looking for a researcher to contribute to our work on assurance for autonomous systems including Connected Autonomous Vehicles (CAV).
NPL has successfully completed a few projects in this area, comprehensive list of our capabilities can be found here https://www.npl.co.uk/digital/assuring-autonomous-systems.
As Data Scientist, you will collaborate as a team to develop innovative solutions to societal and National Challenges; including
Life Sciences & Health
Climate Science
Advanced Manufacturing
Security and resilience - NPL
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.
Please note, this role is known internally as 'Higher Scientist'
About You
As Data Scientist, you will be covering both the application of machine learning methods to specific problems, as well as general aspects of quality management, risk management, testing and assessment of machine learning algorithms and artificial intelligence (AI) systems that include machine learning.
Essential experience:
A degree in Mathematics, Statistics, Computer Science, or relevant science or engineering discipline.
A PhD in a relevant subject or significant relevant working experience
Experience in coding in Python and/or MATLAB.
Experience in mathematical modelling and/or data analysis.
Confidence in report writing and literature review.
Experience working in a cross-disciplinary environment
Desirable experience:
Experience of research in any area of autonomous systems.
Uncertainty quantification.
Experience of operating and building Virtual Test Environments or Simulators e.g.
packages such as CARLA.
Experience in object tracking or mapping software.
Knowledge of systems engineering test and evaluation principles (Validation and Verification processes)
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. To work at NPL, you will need to obtain BPSS security clearance.
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.
About Us
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. Find out more about what it is like working here - The measure of us - Overview
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 ensure we’re creating an environment where all our colleagues feel supported and welcome. More about this on 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 rewards, benefits and recognition. 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.
Proud member of the Disability Confident employer scheme
Disability Confident
About Disability Confident
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to Disability Confident.