At a Glance
- Tasks: Tackle real-world challenges in data science across various sectors like healthcare and environment.
- Company: Join the UK's National Metrology Institute, a leader in measurement science.
- Benefits: Enjoy flexible working, professional development, and a supportive community.
- Why this job: Make a positive impact while developing your skills in a dynamic environment.
- Qualifications: Degree in relevant fields; programming and data modelling skills are a plus.
- Other info: Opportunities for networking, travel, and engaging with the scientific community.
The predicted salary is between 28800 - 48000 ÂŁ per year.
At NPL, we are looking for graduates with a real passion for tackling some of the biggest challenges in industry, energy, the environment, and healthcare to join our Informatics Group within the Data Science & AI Department. As the UK’s National Metrology Institute (NMI), we pledge that NPL will be a place to create a positive impact through the “science of measurement” nationally, internationally, and for your career.
The work conducted within the Data Science & AI department responds to the national challenges of:
- Prosperity: delivering measurement solutions to maximise innovation and prosperity in advanced manufacturing
- Security and resilience: managing the risks to our national security and resilience infrastructure
- Environment: science-directed measurement solutions for environment climate action and a sustainable future
- Health: supporting healthcare, life science, and the bio economy
You will be working at our office within the University of Strathclyde campus to work on data focussed projects through practical and theory-based learning in the field of informatics by developing data quality frameworks, ontologies, and data models to support data used in complex systems.
As a Graduate Scientist on the two-year NPL Graduate Programme, you will complete 2 or 3 project rotations within the Data Science & AI Department to ensure you are getting great exposure to the work and projects happening. These rotations are designed to cultivate a more comprehensive understanding of data science and the inter-relations between the Informatics Group and the Data Analytics & Modelling Group, and their respective roles in solving data focussed metrology challenges.
As a Graduate Scientist, you will have the chance to collaborate with a variety of teams which will help build and grow your network. You’ll be expected to use logical thinking skills for designing and following a work plan, alongside developing technical documents and authoring scientific publications. You’ll have the opportunity to get involved with building data infrastructure for complex data application areas such as medical device readings, satellite imagery or advanced manufacturing instrument readings, which may lead to developing and creating new software tools. Quality is a major part of our scientific delivery with our ISO accredited Quality Management Systems helping you produce accurate and repeatable results.
Occasional travel to our Teddington, Cambridge, and Huddersfield sites will be required to collaborate and engage with your colleagues within the Data Science & AI department, the wider graduate scientist cohort, further NPL based collaborators, and participate in training sessions. Additionally, we actively encourage and seek opportunities for our Graduate Scientists to engage with the wider scientific community at conferences and events both nationally and internationally.
You will also be involved in supporting our community benefit activities – this may be going to local schools, supporting community activities, or helping at large NPL events. We will provide you with the opportunity to be part of a caring and daring community that truly values you and your contribution.
Upon completion of the two-year Graduate Scientist programme, you will continue at NPL as a permanent Scientist, with a working knowledge of complementary areas. We will provide the space and support so you can be the best version of yourself, as well as the tools to navigate the different demands of our work.
To be successful in this Graduate Scientist role, you will have the following skills and qualifications:
- Have achieved or be on target to achieve a degree, or equivalent in Computer Science, Mathematics, Physics, Engineering or relevant data driven physical science field.
- Capabilities (or interest in developing capabilities) in Data Engineering/Informatics skills such as programming, knowledge engineering (ontologies, knowledge graphs) and data modelling.
- Proven ability to work in a team to achieve a common goal, with good communication and collaboration skills.
- Enjoy problem solving and can demonstrate critical thinking, assessing the pros and cons of your approach.
- Have written scientific technical reports during your studies, or are willing to learn if your experience was acquired in a different setting.
- Ability to complete work which requires a high level of attention to detail and nuance.
- Understand the value of providing good customer service, delivering high quality work and proactive communication.
- Committed to your personal development and taking on learning opportunities to get the most from the role.
- Be eligible to live and work in the UK at the time you start employment (we cannot provide visa sponsorship at this time).
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 or Security Clearance depending on the department you work within.
We want to hear your story—your ideas, your experiences, and your aspirations. Please complete your application without using AI tools, so we can get to know the real you and what makes you stand out.
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, 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.
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.
Graduate Data Scientist in Glasgow employer: National Physical Laboratory (NPL)
Contact Detail:
National Physical Laboratory (NPL) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Scientist in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current or former employees at NPL on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections that can help us stand out!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can talk confidently about data engineering, programming, and any relevant projects you've worked on. We want to show them we’re ready to tackle those big challenges!
✨Tip Number 3
Don’t forget to showcase your problem-solving skills! Be ready to discuss how you approach complex issues and what methods you use to find solutions. NPL loves critical thinkers, so let’s make sure we highlight that in our conversations.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the NPL community. Let’s get our foot in the door together!
We think you need these skills to ace Graduate Data Scientist in Glasgow
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for data science and how it connects to the challenges we face in industry, energy, and healthcare. Share your experiences and projects that highlight your interest in making a positive impact.
Tailor Your Application: Make sure to customise your application to reflect the skills and qualifications mentioned in the job description. We want to know how your background in Computer Science, Mathematics, or relevant fields aligns with our needs.
Be Yourself: We want to hear your unique story! Avoid using AI tools and instead, write in your own voice. This is your chance to showcase what makes you stand out from the crowd.
Apply Early: Don’t wait until the last minute! Applications are reviewed on a rolling basis, so the sooner you apply through our website, the better your chances of getting noticed.
How to prepare for a job interview at National Physical Laboratory (NPL)
✨Know Your Data Science Basics
Brush up on your data science fundamentals, especially in areas like programming, data modelling, and knowledge engineering. Be ready to discuss how these skills can be applied to real-world problems, particularly in the context of NPL's focus on industry, environment, and healthcare.
✨Show Your Passion for Problem Solving
During the interview, highlight your enthusiasm for tackling complex challenges. Share specific examples from your studies or projects where you used critical thinking to solve a problem, especially if it relates to data-driven solutions.
✨Demonstrate Teamwork and Communication Skills
NPL values collaboration, so be prepared to discuss your experiences working in teams. Share instances where you effectively communicated ideas or contributed to a group goal, showcasing your ability to work well with others.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the projects at NPL. This shows your genuine interest in the position and helps you understand how you can contribute to their mission of delivering measurement solutions for national challenges.