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- Tasks: Lead innovative research in biometrics and machine learning to tackle real-world challenges.
- Company: Join the National Physical Laboratory, a top-tier centre for measurement science and technology.
- Benefits: Enjoy flexible working, social activities, and a supportive work-life balance.
- Why this job: Be part of a diverse team making impactful contributions to society through cutting-edge science.
- Qualifications: Degree in relevant fields with experience in biometrics and machine learning required.
- Other info: Applications are reviewed continuously, so apply early to secure your chance!
The predicted salary is between 42000 - 84000 £ per year.
Join to apply for the Principal Scientist – Biometrics role at National Physical Laboratory (NPL)
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Join to apply for the Principal Scientist – Biometrics role at National Physical Laboratory (NPL)
- Our world-leading Laboratory is seeking a Data Scientist with experience in Biometrics.
- About the Role
- Our world-leading Laboratory is seeking a Data Scientist with experience in Biometrics.
As a Data Scientist, you will collaborate as part of a team to develop innovative solutions to societal and National Challenges. 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.
In this role you will be undertaking research in biometrics and 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.
You will become part of a community of Data Scientists working in a variety of projects in AI and Machine Learning, Synthetic or Simulated Data and Biometrics. There is also the opportunity to be involved in projects internally across NPL, focusing on a wide variety of possible metrology applications.
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. However, to work in this role in the Data Science department, you will need to have an SC clearance with no restrictions, or you must have the ability to obtain an SC clearance.
About You
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.
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Mid-Senior level
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Research, Analyst, and Information Technology
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Principal Scientist - Biometrics employer: National Physical Laboratory (NPL)
Contact Detail:
National Physical Laboratory (NPL) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Scientist - Biometrics
✨Tip Number 1
Network with professionals in the biometrics field. Attend relevant conferences, webinars, or workshops to meet potential colleagues and collaborators. Engaging with the community can help you learn about unadvertised opportunities and gain insights into the latest trends.
✨Tip Number 2
Showcase your expertise in machine learning and biometrics through online platforms like GitHub or LinkedIn. Share projects or research that demonstrate your skills, as this can catch the attention of hiring managers looking for candidates with practical experience.
✨Tip Number 3
Prepare for potential interviews by brushing up on common questions related to biometrics and machine learning. Be ready to discuss your previous research experiences and how they relate to the role at NPL, as well as your approach to collaboration and problem-solving.
✨Tip Number 4
Familiarise yourself with NPL's current projects and initiatives in biometrics. Understanding their work will not only help you tailor your application but also allow you to engage in meaningful conversations during interviews, demonstrating your genuine interest in the organisation.
We think you need these skills to ace Principal Scientist - Biometrics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in biometrics, machine learning, and data analysis. Use specific examples from your past work that demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role at NPL. Mention how your background aligns with their mission and the specific projects you are excited about.
Highlight Relevant Skills: In your application, emphasise your proficiency in programming languages like Python or MATLAB, as well as your experience with machine learning algorithms. Be specific about your contributions to previous projects.
Showcase Collaborative Experience: Since the role involves collaboration across various sectors, include examples of successful teamwork in your application. Highlight any interdisciplinary projects you've worked on and the impact they had.
How to prepare for a job interview at National Physical Laboratory (NPL)
✨Showcase Your Biometrics Expertise
Make sure to highlight your experience in biometrics during the interview. Discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will demonstrate your depth of knowledge and practical application in the field.
✨Demonstrate Machine Learning Proficiency
Since the role involves machine learning methods, be prepared to discuss your experience with various algorithms and tools. Bring examples of how you've applied machine learning in past projects, particularly in relation to biometrics or data analysis.
✨Prepare for Technical Questions
Expect technical questions related to experimental data analysis and quality management. Brush up on your understanding of statistical methods and be ready to explain your approach to designing experiments and analysing data.
✨Emphasise Collaboration Skills
This role requires collaboration across various sectors. Share examples of how you've successfully worked in teams, especially in interdisciplinary settings. Highlight your ability to communicate complex ideas clearly to non-experts.
