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- Tasks: Collaborate on innovative biometric solutions using machine learning to tackle societal challenges.
- Company: Join the National Physical Laboratory, a leader in measurement science and technology.
- Benefits: Flexible working, social activities, and a supportive work-life balance.
- Why this job: Make a real impact in AI and biometrics while developing your skills in a collaborative environment.
- Qualifications: Degree in relevant field, experience in biometrics, and proficiency in Python or MATLAB.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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.
About You
- A degree in Mathematics, Statistics, Computer Science, or relevant science or engineering discipline, with related post doctoral experience and extensive research track record
- Experience in the field of Biometrics, both research and operational aspects
- An extensive track record in research and the ability to drive ideas forward in a collaborative manner
- Experimental data analysis, including design of experimental trials and analysis of data from experimental trials
- Deep knowledge of methods of machine learning and deep learning and proficiency in the practical application of those methods
- Testing and assessment of machine learning algorithms and AI systems that include machine learning
- Proficiency in programming languages such as Python or MATLAB
- Demonstrable ability in developing a technical roadmap and strategy.
- Interest and involvement in standards
- Experience of dealing with customers
- Uncertainty quantification.
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.
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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Principal Scientist - Biometrics employer: The National Physical Laboratory (NPL)
Contact Detail:
The National Physical Laboratory (NPL) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Scientist - Biometrics
✨Network Like a Pro
Get out there and connect with people in the biometrics and data science fields. Attend conferences, webinars, or local meetups to meet potential collaborators and industry experts. Remember, it’s not just about what you know, but who you know!
✨Show Off Your Skills
When you get the chance to chat with someone from NPL or any other company, don’t hold back! Share your experiences with machine learning and biometrics, and discuss any projects you’ve worked on. This is your time to shine and show how you can contribute to their team.
✨Tailor Your Approach
Before any interview or networking event, do your homework! Understand NPL’s projects and values, and think about how your skills align with their needs. Tailoring your conversation will make you stand out and show that you’re genuinely interested.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the NPL team and contributing to exciting projects in biometrics and AI.
We think you need these skills to ace Principal Scientist - Biometrics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal Scientist role. Highlight your experience in biometrics and machine learning, and don’t forget to showcase any collaborative projects you've been part of. We want to see how you can contribute to our innovative solutions!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about biometrics and how your skills align with our mission at NPL. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through!
Showcase Your Research Experience: Since this role involves extensive research, make sure to detail your research track record. Include specific projects where you've applied machine learning methods or worked on experimental data analysis. We’re keen to see how you’ve driven ideas forward in a collaborative manner.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves. Don’t wait too long – we review applications as they come in!
How to prepare for a job interview at The National Physical Laboratory (NPL)
✨Know Your Biometrics Inside Out
Make sure you brush up on the latest trends and technologies in biometrics. Be ready to discuss your previous research and how it relates to the role. This shows you're not just knowledgeable but also genuinely interested in the field.
✨Showcase Your Machine Learning Skills
Prepare to talk about your experience with machine learning and deep learning methods. Have specific examples ready where you've applied these techniques, especially in relation to data analysis or algorithm testing. This will demonstrate your practical skills and problem-solving abilities.
✨Collaborative Spirit is Key
Since this role involves teamwork, think of examples where you've successfully collaborated with others. Highlight your ability to drive ideas forward in a group setting, as well as any experience working with diverse teams across different sectors like academia or industry.
✨Understand the Importance of Quality Management
Familiarise yourself with quality management and risk management principles, especially in the context of AI systems. Be prepared to discuss how you've ensured quality in your past projects and how you would approach this in the new role.