Graduate Data Scientist in Glasgow

Graduate Data Scientist in Glasgow

Glasgow Full-Time 28800 - 48000 £ / year (est.) No working from home possible
N

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.
  • Other info: Opportunities for networking, travel, and engaging with the scientific 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.

The predicted salary is between 28800 - 48000 £ 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)

At the National Physical Laboratory (NPL), we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. As an Associate Vulnerability Researcher, you will benefit from mentorship by seasoned professionals, access to cutting-edge technology, and the chance to contribute to vital security advancements in telecommunications. Our commitment to employee growth and development ensures that you will thrive in your early career while making a meaningful impact in the field.

N

Contact Details:

National Physical Laboratory (NPL) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Graduate Data Scientist in Glasgow

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like National Physical Laboratory (NPL)!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Graduate Data Scientist at National Physical Laboratory (NPL).

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like National Physical Laboratory (NPL).

Apply Directly through Our Website

When you find a suitable opening like Graduate Data Scientist at National Physical Laboratory (NPL), make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Graduate Data Scientist in Glasgow

Data Engineering
Informatics
Programming
Knowledge Engineering
Ontologies
Knowledge Graphs
Data Modelling

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at National Physical Laboratory (NPL), your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at National Physical Laboratory (NPL). Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at National Physical Laboratory (NPL)

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at National Physical Laboratory (NPL)!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.